diff --git a/TERMS_OF_DATA_ACCESS b/TERMS_OF_DATA_ACCESS index 459e3fc..2337c33 100644 --- a/TERMS_OF_DATA_ACCESS +++ b/TERMS_OF_DATA_ACCESS @@ -1,4 +1,4 @@ -# TERMS OF DATA ACCESS + # TERMS OF DATA ACCESS ## OffsetsDB @@ -8,8 +8,12 @@ credit retirements published by the following carbon offset registries: - American Carbon Registry (ACR) - ART TREES (ART) +- Cercarbono (CCB); Data sourced from EcoRegistry (www.ecoregistry.io). +EcoRegistry is a carbon credit registration and accounting platform +operated by EcoRegistry LLC. - Climate Action Reserve (CAR) - Gold Standard (GLD) +- Isometric (ISO); Source: Isometric Registry (registry.isometric.com) - Verra (VCS) Carbon offset information has historically been scattered across multiple @@ -22,19 +26,21 @@ visualizing, validating, and cross-checking offsets. We hope you find it useful! By downloading, copying, or using this project, and/or any associated content or data, you agree to CarbonPlan’s Terms Of Use, which can be found here: -[https://carbonplan.org/terms](https://carbonplan.org/terms). As further -explained in the Terms of Use, CarbonPlan makes its projects — including -OffsetsDB — available strictly on an “as-is” and “as-available” basis, without -warranty of any kind, including without limitation the warranties of -merchantability, fitness for a particular purpose, and noninfringement. +[https://carbonplan.org/terms](https://carbonplan.org/terms). As further explain +ed in the Terms of Use, data provided by CarbonPlan may originate from third par +ties and CarbonPlan makes its projects — including OffsetsDB — available strictl +y on an “as-is” and “as-available” basis, without warranty of any kind. By way o +f example, CarbonPlan makes no warranty as to accuracy, completeness, merchantab +ility, fitness for a particular purpose, or noninfringement. ## Intellectual Property Rights -Because OffsetsDB consists of purely factual information concerning carbon -offsets that has been made publicly available by the above-referenced -registries, CarbonPlan does not claim copyright in this data. +Because OffsetsDB consists of purely factual information concerning carbon offse +ts that has been made publicly available by the above-referenced registries, Car +bonPlan does not claim copyright in this data. However, please note that CarbonPlan does not make any representation as to -whether any of the above-referenced registries may claim any rights in the data -they have published. If you have any questions or concerns about this, please -reach out to the registries directly. +whether any of the above-referenced registries may claim rights in the data +they have published. Any use you may wish to make of such data may be subject to +the respective registry’s terms and conditions or may require a license. If you +have any questions or concerns about this, please reach out to the registries directly. diff --git a/docs/data-processing.md b/docs/data-processing.md index ed3dcf7..7ff0e22 100644 --- a/docs/data-processing.md +++ b/docs/data-processing.md @@ -90,7 +90,7 @@ These rules specify things like when measurements must be made and what paperwor Unfortunately, there is no standardized way of referring to the exact protocol (or protocol version) used to develop an offset project. Even within the domain of a single registry, references to the exact protocol used to develop a project are often inconsistent. Take for example the Clean Development Mechanism protocol AMS-III.D., "Methane recovery in animal manure management systems". -Across all five registries included in OffsetsDB, we identified twenty-two unique ways of referring to this one protocol. +Across all registries included in OffsetsDB, we identified twenty-two unique ways of referring to this one protocol. OffsetsDB addresses this problem by manually assigning every known protocol string to a common schema. Continuing with the AMS-III.D. example, we map all twenty-two "known strings" that describe the same protocol to a single, unified reference, `ams-iii-d`. @@ -202,6 +202,13 @@ Project status: When processing ACR projects, we combine two status properties p For compliance projects, we report compliance program status. For voluntary projects, we report voluntary status. +### Cercarbono + +#### Vintage Date + +Occasionally, Cercarbono reports issuance events that span multiple vintage years. +We assign all credits from these multi-vintage issuances to the earliest reported vintage year. + ### Gold Standard #### Planned Emission Reductions @@ -236,7 +243,9 @@ Because we know the majority of Verra `retirement/cancellation` events are in fa Any analysis involving Verra retirement data should clearly specify that Verra's raw data does not currently distinguish between retirement and cancellation events. ``` -Vintage Date: Verra allows for the simultaneous issuance of multiple vintages. +#### Vintage Date + +Verra allows for the simultaneous issuance of multiple vintages. We assign all credits from these multi-vintage issuances to the earliest reported vintage year. ### California Compliance Projects diff --git a/offsets_db_data/apx.py b/offsets_db_data/apx.py index 9c44048..4027e18 100644 --- a/offsets_db_data/apx.py +++ b/offsets_db_data/apx.py @@ -8,6 +8,7 @@ PROJECT_SCHEMA_UPATH, load_column_mapping, load_inverted_protocol_mapping, + load_protocol_mapping, load_registry_project_column_mapping, load_type_category_mapping, ) @@ -212,6 +213,7 @@ def process_apx_projects( ) inverted_column_mapping = {value: key for key, value in registry_project_column_mapping.items()} inverted_protocol_mapping = load_inverted_protocol_mapping() + protocol_mapping = load_protocol_mapping() type_category_mapping = load_type_category_mapping() data = df.rename(columns=inverted_column_mapping) if registry_name == 'art-trees': @@ -234,8 +236,9 @@ def process_apx_projects( override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' ) .add_category( - type_category_mapping=type_category_mapping - ) # must come after types; type -> category + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent .map_project_type_to_display_name(type_category_mapping=type_category_mapping) .add_is_compliance_flag() .add_retired_and_issued_totals(credits=credits) diff --git a/offsets_db_data/cercarbono.py b/offsets_db_data/cercarbono.py new file mode 100644 index 0000000..5cafd9f --- /dev/null +++ b/offsets_db_data/cercarbono.py @@ -0,0 +1,255 @@ +import pandas as pd +import pandas_flavor as pf + +from offsets_db_data.common import ( + BERKELEY_PROJECT_TYPE_UPATH, + CREDIT_SCHEMA_UPATH, + PROJECT_SCHEMA_UPATH, + load_column_mapping, + load_inverted_protocol_mapping, + load_protocol_mapping, + load_registry_project_column_mapping, + load_type_category_mapping, +) +from offsets_db_data.credits import ( + aggregate_issuance_transactions, # noqa: F401 + harmonize_beneficiary_data, # noqa: F401 + merge_with_arb, # noqa: F401 +) +from offsets_db_data.models import credit_without_id_schema, project_schema +from offsets_db_data.projects import ( + add_category, # noqa: F401 + add_first_issuance_and_retirement_dates, # noqa: F401 + add_is_compliance_flag, # noqa: F401 + add_retired_and_issued_totals, # noqa: F401 + harmonize_country_names, # noqa: F401 + harmonize_status_codes, # noqa: F401 + map_protocol, # noqa: F401 +) + + +@pf.register_dataframe_method +def add_cercarbono_project_url(df: pd.DataFrame) -> pd.DataFrame: + """Add project URL column for Cercarbono projects. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Cercarbono project data. + + Returns + ------- + pd.DataFrame + Dataframe with added project URL column. + """ + base_url = 'https://www.ecoregistry.io/projects' + df['project_url'] = df['project_id'].apply(lambda x: f'{base_url}/{x}') + return df + + +@pf.register_dataframe_method +def add_cercarbono_project_id(df: pd.DataFrame, prefix: str = 'CCB') -> pd.DataFrame: + """Add project ID column for Cercarbono credits dataframe. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Cercarbono credit transactions data. + + Returns + ------- + pd.DataFrame + Dataframe with added project ID column. + """ + df = df.copy() + # Use the globally unique numeric id (not the per-prefix code number) to avoid collisions. + # Different code prefixes (CDC, CP, CGS, CDB, CBA) share numeric suffixes (e.g. CDC-1, + # CP-1, CGS-1) but each project has a distinct id across the whole registry. + df['project_id'] = prefix + df['id'].astype(str) + return df + + +@pf.register_dataframe_method +def process_cercarbono_credits( + df: pd.DataFrame, + *, + download_type: str, + registry_name: str = 'cercarbono', + prefix: str = 'CCB', + harmonize_beneficiary_info: bool = False, +) -> pd.DataFrame: + """Process Cercarbono transactions dataframe to conform to offsets-db schema. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Cercarbono credit transactions data. + download_type : str, optional + Type of data to download, either 'issuances' or 'retirements'. + registry_name : str, optional + Name of the registry to be added to the dataframe, by default "cercarbono" + prefix : str, optional + Prefix to add to project IDs, by default "CCB" + + Returns + ------- + pd.DataFrame + Processed dataframe conforming to offsets-db schema. + """ + + if download_type == 'issuances': + df['vintage'] = df['vintage_of_credits'].str.split(' / ').str[-1].str[:4].astype(int) + df['transaction_type'] = 'issuance' + # Extract numeric project ID from serial — this is the globally unique id. + # Standard format: CDC_1_... → id at index 1 + # Revised format: CDC_R_16_... → id at index 2 (R indicates revision) + parts = df.serial.str.split('_') + numeric_id = parts.str[1].where(parts.str[1] != 'R', parts.str[2]) + df['project_id'] = prefix + numeric_id + + else: + df['transaction_type'] = 'retirement' + # project_id in the raw retirements data is the numeric id + df['project_id'] = prefix + df['project_id'].astype(str) + + column_mapping = load_column_mapping( + registry_name=registry_name, download_type=download_type, mapping_path=CREDIT_SCHEMA_UPATH + ) + + columns = {v: k for k, v in column_mapping.items()} + + data = ( + df.rename(columns=columns) + .set_registry(registry_name=registry_name) + .add_missing_columns(schema=credit_without_id_schema) + ) + + if harmonize_beneficiary_info: + data = data.pipe( + harmonize_beneficiary_data, registry_name=registry_name, download_type=download_type + ) + + data = ( + data.add_missing_columns(schema=credit_without_id_schema) + .convert_to_datetime(columns=['transaction_date'], format='ISO8601') + .validate(schema=credit_without_id_schema) + ) + + return data + + +@pf.register_dataframe_method +def add_cercarbono_missing_projects(df: pd.DataFrame) -> pd.DataFrame: + """Add manually curated rows for Cercarbono projects absent from the public API. + + CDC-106 and CDC-107 were migrated from BioCarbon Registry and lack protocol + metadata that the ecoregistry.io API requires, so they are excluded from the + standard API export. Credits for both projects exist in the registry, so + adding them here ensures the pipeline produces complete project records with + proper issued/retired totals. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Cercarbono project data. + + Returns + ------- + pd.DataFrame + Dataframe with CDC-106 and CDC-107 appended. + """ + missing = [ + { + 'project_id': 'CCB106', + 'name': 'Aire de Vida “FIIVO JAAGAVA KOMUYA JAG+Y+”Monochoa REDD+', + 'protocol': ['ccb-redd'], + 'category': 'forest', + 'project_type': 'redd+', + 'project_type_source': 'carbonplan', + 'country': 'Colombia', + 'status': 'registered', + 'is_compliance': False, + 'registry': 'cercarbono', + 'project_url': 'https://www.ecoregistry.io/projects/CDC-106', + 'listed_at': '2022-06-04', + }, + { + 'project_id': 'CCB107', + 'name': 'Proyecto Nuestro Aire Vida “Kai KOMUYAJAG+Y+” REDD+ Puerto Zábalo y Los Monos', + 'protocol': ['ccb-redd'], + 'category': 'forest', + 'project_type': 'redd+', + 'project_type_source': 'carbonplan', + 'country': 'Colombia', + 'status': 'registered', + 'is_compliance': False, + 'registry': 'cercarbono', + 'project_url': 'https://www.ecoregistry.io/projects/CDC-107', + 'listed_at': '2022-06-04', + }, + ] + return pd.concat([df, pd.DataFrame(missing)], ignore_index=True) + + +@pf.register_dataframe_method +def process_cercarbono_projects( + df: pd.DataFrame, + *, + credits: pd.DataFrame, + registry_name: str = 'cercarbono', +) -> pd.DataFrame: + """Process Cercarbono projects dataframe to conform to offsets-db schema. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Cercarbono project data. + registry_name : str, optional + Name of the registry to be added to the dataframe, by default "cercarbon + + + Returns + ------- + pd.DataFrame + Processed dataframe conforming to offsets-db schema. + """ + + registry_project_column_mapping = load_registry_project_column_mapping( + registry_name=registry_name, file_path=PROJECT_SCHEMA_UPATH + ) + inverted_column_mapping = {value: key for key, value in registry_project_column_mapping.items()} + type_category_mapping = load_type_category_mapping() + inverted_protocol_mapping = load_inverted_protocol_mapping() + protocol_mapping = load_protocol_mapping() + df = df.copy() + df['country'] = df.locations.map( + lambda x: x[0]['country'] + ) # extract country from locations by taking first entry + + data = ( + df.rename(columns=inverted_column_mapping) + .set_registry(registry_name=registry_name) + .add_cercarbono_project_url() # this must be called before adding project id because the url function uses the original project_id value + .add_cercarbono_project_id() + .harmonize_country_names() + .harmonize_status_codes() + .map_protocol(inverted_protocol_mapping=inverted_protocol_mapping) + .infer_project_type() + .override_project_types( + override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' + ) + .add_category( + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent + .add_is_compliance_flag() + .add_cercarbono_missing_projects() + .map_project_type_to_display_name(type_category_mapping=type_category_mapping) + .add_retired_and_issued_totals(credits=credits) + .add_first_issuance_and_retirement_dates(credits=credits) + .add_missing_columns(schema=project_schema) + .convert_to_datetime(columns=['listed_at', 'first_issuance_at', 'first_retirement_at']) + .validate(schema=project_schema) + ) + + return data diff --git a/offsets_db_data/common.py b/offsets_db_data/common.py index 54a45e3..2e03052 100644 --- a/offsets_db_data/common.py +++ b/offsets_db_data/common.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import pandas_flavor as pf -import pandera as pa +import pandera.pandas as pa import upath CREDIT_SCHEMA_UPATH = ( @@ -54,7 +54,9 @@ def load_inverted_protocol_mapping() -> dict: return store -def load_column_mapping(*, registry_name: str, download_type: str, mapping_path: str) -> dict: +def load_column_mapping( + *, registry_name: str, download_type: str, mapping_path: upath.UPath | str +) -> dict: with open(mapping_path) as f: registry_credit_column_mapping = json.load(f) return registry_credit_column_mapping[registry_name][download_type] @@ -113,9 +115,11 @@ def convert_to_datetime( if column not in df.columns: raise KeyError(f"The column '{column}' is missing.") try: - df[column] = pd.to_datetime(df[column], utc=utc, **kwargs).dt.normalize() + df[column] = ( + pd.to_datetime(df[column], utc=utc, **kwargs).dt.normalize().dt.as_unit('ns') + ) except ValueError: - df[column] = pd.to_datetime(df[column], utc=utc).dt.normalize() + df[column] = pd.to_datetime(df[column], utc=utc).dt.normalize().dt.as_unit('ns') return df diff --git a/offsets_db_data/configs/all-protocol-mapping.json b/offsets_db_data/configs/all-protocol-mapping.json index 7e900e8..0b35051 100644 --- a/offsets_db_data/configs/all-protocol-mapping.json +++ b/offsets_db_data/configs/all-protocol-mapping.json @@ -211,8 +211,8 @@ }, "acm0006": { "category": "fuel-switching", - "sub-category": "biomass", "known-strings": [ + "ACM0006; AMS-III.E.", "ACM0002: Grid-connected electricity generation from renewable sources / ACM0006: Electricity and heat generation from biomass", "CDM - ACM0006: Electricity and heat generation from biomass", "ACM0006 Electricity and heat generation from biomass residues", @@ -221,6 +221,7 @@ "ACM0006 Large-Scale Consolidated Methodology Electricity and heat generation from biomass [Version: 16.0]" ], "program": "cdm", + "sub-category": "biomass", "url": "https://cdm.unfccc.int/methodologies/documentation/meth_booklet.pdf#ACM0006" }, "acm0007": { @@ -269,6 +270,7 @@ "acm0012": { "category": "energy-efficiency", "known-strings": [ + "ACM0012; AMS-III.Q", "ACM0012 Waste energy recovery, Version 6.0", "ACM0012 Waste energy recovery", "ACM0012: Waste Energy Recovery-Version 6", @@ -305,13 +307,13 @@ }, "acm0016": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": [ "ACM0016", "ACM0016 V5.0 - Mass rapid transit projects", "ACM0016: Mass Rapid Transit Projects --- Version 5.0" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "acm0017": { "category": "fuel-switching", @@ -335,6 +337,7 @@ "ACM0018, Version - 5.0", "ACM0018 “Large-scale Consolidated Methodology: Electricity generation from biomass in power-only plants”, Version 5.0", "ACM0018", + "ACM0018: Electricity generation from biomass in power-only plants", "ACM0018 – Electricity generation from biomass in power-only plants version 06.0" ], "program": "cdm", @@ -464,14 +467,22 @@ }, "acr-idling": { "category": "fuel-switching", - "sub-category": "transportation", "known-strings": [ "Truck Stop Electrification", - "Emissions Reductions though Anti-Idling Technologies" + "Emissions Reductions through Anti-Idling Technologies" ], "program": "acr", + "sub-category": "transportation", "url": "https://americancarbonregistry.org/carbon-accounting/standards-methodologies/emission-reductions-through-truck-stop-electrification" }, + "acr-ifm-small": { + "category": "forest", + "known-strings": [ + "Improved Forest Management (IFM) on Small Non-Industrial Private Forestlands" + ], + "program": "acr", + "sub-category": "ifm" + }, "acr-ifm-nonfed": { "category": "forest", "known-strings": [ @@ -599,6 +610,11 @@ "program": "cdm", "url": "https://cdm.unfccc.int/methodologies/DB/X93VJ89ZXSYOVG3UN3PNFXPVEIKZWF/view.html" }, + "am0016": { + "category": "ghg-management", + "known-strings": ["AM0016"], + "program": "cdm" + }, "am0023": { "category": "ghg-management", "known-strings": ["AM0023"], @@ -645,9 +661,9 @@ }, "am0031": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": ["AM0031"], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "am0034": { "category": "ghg-management", @@ -753,9 +769,9 @@ }, "am0090": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": ["AM0090"], "program": "cdm", + "sub-category": "transportation", "url": "https://cdm.unfccc.int/methodologies/documentation/meth_booklet.pdf#AM0090" }, "am0107": { @@ -771,7 +787,7 @@ "program": "cdm" }, "am0123": { - "known-strings": ["AM0123"], + "known-strings": ["AM0123", "AMS-I.F.; AM0123"], "program": "cdm" }, "ams-i-a": { @@ -797,6 +813,8 @@ "ams-i-c": { "category": "fuel-switching", "known-strings": [ + "AMS-I.C.; AMS-III.AO.", + "AMS-I.C.; AMS-III.D.; AMS-III.AO.", "AMS-I.C.: Thermal energy production with or without electricity", "AMS-I.C.; AMS-I.F.; AMS-III.H.", "AMS-I.C.: Thermal energy production with or without electricity - Version 22.0", @@ -835,6 +853,8 @@ "ams-i-d": { "category": "renewable-energy", "known-strings": [ + "AMS-I.D.; AMS-I.F.", + "AMS-I.D.; AMS-II.C.", "CDM - AMS-I.D.: Grid connected renewable electricity generation", "AMS-I.D.; AMS-III.F.; AMS-III.Y", "AMS-I.D.; AMS-III.D.; AMS-III.H.; AMS-III.O.; AMS-III.AQ", @@ -959,6 +979,9 @@ "ams-i-e": { "category": "renewable-energy", "known-strings": [ + "AMS-I.E.; AMS-III.D.", + "AMS-I.E.; VMR0006; AMS-III.AV.", + "AMS-I.E.; AMS-III.AV.", "AMS-I.E. Switch from Non-Renewable Biomass for Thermal Applications by the User", "AMS-I.E.; AMS-III.R.", "AMS-I.E.: Switch from non-renewable biomass for thermal applications by the user", @@ -971,6 +994,13 @@ "ams-i-f": { "category": "renewable-energy", "known-strings": [ + "AMS-I.F.; AM0123", + "AMS-I.D.; AMS-I.F.", + "AMS-I.F.; VMR0014; AMS-III.C; VM0038", + "AMS-I.F.; AMS-II.E.", + "AMS-I.J; AMS-I.F.; AMS-III.AR", + "AMS-I.F.; VMR0014; VM0038", + "AMS-I.F.; AMS-III.C.; VM0038", "CDM - AMS-I.F.: Renewable electricity generation for captive use and mini-grid", "AMS-I.C.; AMS-I.F.; AMS-III.H.", "AMS-I.F.: Renewable electricity generation for captive use and mini-grid ---Version 5.0 ", @@ -1019,6 +1049,9 @@ "ams-i-j": { "category": "renewable-energy", "known-strings": [ + "AMS-I.J", + "AMS-I.J; AMS-I.L.", + "AMS-I.J; AMS-I.F.; AMS-III.AR", "AMS-I.J.", "AMS-I.J; AMS-II.F.", "AMS-I.J. Solar water heating systems (SWH)" @@ -1031,13 +1064,14 @@ }, "ams-i-k": { "category": "renewable-energy", - "sub-category": "household", "known-strings": ["AMS-I.K. Solar cookers for households"], - "program": "cdm" + "program": "cdm", + "sub-category": "household" }, "ams-i-l": { "category": "renewable-energy", "known-strings": [ + "AMS-I.J; AMS-I.L.", "AMS-I.L.: Electrification of rural communities using renewable energy", "AMS.I.J1; AMS-I.L.", "AMS-I.L.", @@ -1053,6 +1087,7 @@ "ams-ii-c": { "category": "energy-efficiency", "known-strings": [ + "AMS-I.D.; AMS-II.C.", "AMS-II.C. Demand-side energy efficiency activities for specific technologies", "AMS-II.C.", "AMS-II.C.; AMS-II.G.", @@ -1073,6 +1108,7 @@ "ams-ii-e": { "category": "energy-efficiency", "known-strings": [ + "AMS-I.F.; AMS-II.E.", "AMS-I.D.; AMS-II.E.", "AMS-II.E.", "AMS-II.E. Energy efficiency and fuel switching measures for buildings" @@ -1087,6 +1123,7 @@ "ams-ii-g": { "category": "energy-efficiency", "known-strings": [ + "AMS-II.G.; VMR0006; AMS-III.AR", "AMS-II.G. Energy Efficiency Measures in Thermal Applications of Non-Renewable Biomass", "AMS-II.G.; VMR0006", "AMS-II.G.", @@ -1123,6 +1160,13 @@ "program": "cdm", "sub-category": "lighting" }, + "ams-ii-am": { + "category": "ghg-management", + "known-strings": [ + "AMS-II.M Demand-side energy efficiency activities for installation of low-flow hot water savings devices" + ], + "program": "cdm" + }, "ams-iii-af": { "category": "ghg-management", "known-strings": ["AMS-III.AF."], @@ -1147,6 +1191,10 @@ "ams-iii-ao": { "category": "ghg-management", "known-strings": [ + "AMS-I.C.; AMS-III.AO.", + "AMS-III.F.; AMS-III.AO.", + "AMS-III.D.; AMS-III.AO.", + "AMS-I.C.; AMS-III.D.; AMS-III.AO.", "AMS-III.AO.; AMS-III.AQ", "AMS-III.AO. Methane recovery through controlled anaerobic digestion", "AMS-I.F.; AMS-III.D.; AMS-III.AO.; VM0042", @@ -1162,8 +1210,8 @@ }, "ams-iii-aq": { "category": "fuel-switching", - "sub-category": "transportation", "known-strings": [ + "AMS-III.AQ. Introduction of Bio-CNG in transportation applications", "AMS-III.H.; AMS-III.AQ", "AMS-I.D.; AMS-III.D.; AMS-III.H.; AMS-III.O.; AMS-III.AQ", "AMS-III.AO.; AMS-III.AQ", @@ -1171,11 +1219,14 @@ "AMS-III.D.; AMS-III.AO.; AMS-III.AQ", "AMS-III.D - Version 21.0, AMS-III.AQ. - Version 2.0" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-ar": { "category": "fuel-switching", "known-strings": [ + "AMS-II.G.; VMR0006; AMS-III.AR", + "AMS-I.J; AMS-I.F.; AMS-III.AR", "AMS-III.AR. Substituting fossil fuel based lighting with LED lighting systems", "AMS-III.AR", "AMS-II.G.; AMS-III.AR", @@ -1192,6 +1243,13 @@ "program": "cdm", "sub-category": "biomass" }, + "ams-iii-at": { + "category": "energy-efficiency", + "known-strings": [ + "AMS-III.AT.: Transportation energy efficiency activities installing digital tachograph systems to commercial freight transport fleets" + ], + "program": "cdm" + }, "ams-iii-au": { "category": "agriculture", "known-strings": [ @@ -1205,13 +1263,15 @@ }, "ams-iii-av": { "category": "energy-efficiency", - "sub-category": "drinking-water", "known-strings": [ + "AMS-I.E.; VMR0006; AMS-III.AV.", + "AMS-I.E.; AMS-III.AV.", "VMR0006; AMS-III.AV.", "AMS-III.AV.", "AMS-III.AV. Low greenhouse gas emitting water purification systems" ], - "program": "cdm" + "program": "cdm", + "sub-category": "drinking-water" }, "ams-iii-b": { "category": "fuel-switching", @@ -1237,12 +1297,12 @@ }, "ams-iii-bc": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": [ "AMS-III.BC.", "AMS-III.BC.: Emissions Reductions through Improved Efficiency of Vehicle Fleet" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-bd": { "category": "energy-efficiency", @@ -1252,36 +1312,44 @@ }, "ams-iii-bg": { "category": "energy-efficiency", - "sub-category": "biomass", "known-strings": [ "VMR0006; AMS-III.BG", "AMS-III.BG Emission reduction through sustainable charcoal production and consumption" ], - "program": "cdm" + "program": "cdm", + "sub-category": "biomass" }, "ams-iii-bm": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": [ "AMS-III.BM", "AMS-III.BM: Lightweight two and three wheeled personal transportation version 1.0" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-c": { "category": "energy-efficiency", - "sub-category": "transportation", "known-strings": [ + "AMS-I.F.; VMR0014; AMS-III.C; VM0038", + "AMS-I.F.; AMS-III.C.; VM0038", "AMS-III.C. Emission reductions by electric and hybrid vehicles", "AMS-I.F.; AMS-III.C.", "AMS-III.C.; VM0038", "AMS-III.C." ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-d": { "category": "ghg-management", + "is_methane": true, "known-strings": [ + "AMS-I.E.; AMS-III.D.", + "AMS-III.D.; AMS-III.E.; AMS-III.F.", + "AMS-III.D.; AMS-III.F.; VMR0007", + "AMS-III.D.; AMS-III.AO.", + "AMS-I.C.; AMS-III.D.; AMS-III.AO.", "AMS-I.D.; AMS-III.D.; AMS-III.H.; AMS-III.O.; AMS-III.AQ", "AMS-III.D. Methane recovery in animal manure management systems", "AMS-I.C.; AMS-III.D.; AMS-III.R.", @@ -1307,7 +1375,6 @@ "AMS-III.F.: Avoidance of methane emissions through composting - Ver12.0; AMS-III.D: Methane recovery in animal manure management systems Ver 21.0" ], "program": "cdm", - "is_methane": true, "sub-category": "livestock-methane", "url": "https://cdm.unfccc.int/methodologies/documentation/meth_booklet.pdf#AMS_III_D" }, @@ -1315,6 +1382,8 @@ "category": "ghg-management", "is_methane": true, "known-strings": [ + "AMS-III.D.; AMS-III.E.; AMS-III.F.", + "ACM0006; AMS-III.E.", "AMS-I.F.; AMS-III.E.; VM0044", "AMS-I.D.; AMS-III.E.", "AMS-III.E.: --- Version 17.0, AMS-I.C.: --- Version 22.0", @@ -1329,6 +1398,9 @@ "category": "ghg-management", "is_methane": true, "known-strings": [ + "AMS-III.F.; AMS-III.AO.", + "AMS-III.D.; AMS-III.E.; AMS-III.F.", + "AMS-III.D.; AMS-III.F.; VMR0007", "AMS-III.F: Avoidance of methane emissions through composting", "AMS-I.D.; AMS-III.F.; AMS-III.Y", "AMS-I.F.; AMS-III.E.; VM0044", @@ -1346,6 +1418,7 @@ }, "ams-iii-g": { "category": "ghg-management", + "is_methane": true, "known-strings": [ "AMS-III.G. Landfill methane recovery", "AMS-I.C.; AMS-III.G.", @@ -1366,7 +1439,6 @@ "AMS-III.G: “Landfill methane recovery” - Version 10.0; AMS-I.D: “Grid connected renewable electricity generation” - Version 18.0" ], "program": "cdm", - "is_methane": true, "sub-category": "landfill-methane" }, "ams-iii-h": { @@ -1412,14 +1484,14 @@ }, "ams-iii-j": { "category": "fuel-switching", - "known-string": ["AMS-III.J."], + "known-string": ["AMS-III.J.", "AMS-III.J."], "program": "cdm", "url": "https://cdm.unfccc.int/methodologies/documentation/meth_booklet.pdf#AMS_III_J" }, "ams-iii-l": { "category": "ghg-management", "is_methane": true, - "known-string": ["AMS-III.L."], + "known-string": ["AMS-III.L.", "AMS-III.L."], "program": "cdm", "url": "https://cdm.unfccc.int/methodologies/documentation/meth_booklet.pdf#AMS_III_L" }, @@ -1439,6 +1511,7 @@ "ams-iii-q": { "category": "energy-efficiency", "known-strings": [ + "ACM0012; AMS-III.Q", "AMS-III.Q", "AMS-III.Q. Waste Energy Recovery (gas/heat/pressure) Projects" ], @@ -1458,21 +1531,21 @@ }, "ams-iii-s": { "category": "fuel-switching", - "sub-category": "transportation", "known-strings": [ "AMS-I.F.; AMS-III.S.", "AMS-III.S.", "AMS-III.S. Introduction of low-emission vehicles/technologies to commercial vehicle fleets" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-u": { "category": "fuel-switching", - "sub-category": "transportation", "known-strings": [ "AMS-III.U.: Cable Cars for Mass Rapid Transit System (MRTS)" ], - "program": "cdm" + "program": "cdm", + "sub-category": "transportation" }, "ams-iii-y": { "category": "ghg-management", @@ -1516,6 +1589,7 @@ "ar-acm0003": { "category": "forest", "known-strings": [ + "AR-ACM0003; VM0042", "CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands", "ACM0003; VM0042", "AR-AMS0003; AR-AMS0007; AR-ACM0003; AR-AM0014", @@ -1658,6 +1732,11 @@ "sub-category": "industrial-processes", "url": "https://www.climateactionreserve.org/how/protocols/industrial/adipic-acid-production/" }, + "car-biochar": { + "category": "biomass-cdr", + "known-strings": ["Biochar"], + "program": "car" + }, "car-forest": { "category": "forest", "known-strings": [ @@ -1682,6 +1761,11 @@ "sub-category": "avoided-conversion", "url": "https://www.climateactionreserve.org/how/protocols/ncs/grassland/" }, + "car-cement": { + "category": "ghg-management", + "known-strings": ["Low Carbon Cement"], + "program": "car" + }, "car-grassland-ca": { "category": "land-use", "known-strings": ["Canada Grassland"], @@ -1779,6 +1863,43 @@ "sub-category": "waste-management", "url": "https://www.climateactionreserve.org/how/protocols/waste/organic-waste-digestion/" }, + "ccb-landfills": { + "category": "ghg-management", + "known-strings": [ + "Methodology for executing projects that capture, destroy, or use the biogas produced in sanitary landfills" + ], + "program": "ccb" + }, + "ccb-redd": { + "category": "forest", + "known-strings": [ + "CCB - M/LU-REDD+: Methodology for the Implementation of REDD+ Projects Consistent with National Reference Levels" + ], + "program": "ccb", + "url": "https://www.cercarbono.com/wp-content/uploads/2023/01/REDD-Methodology-V-1.3.1.pdf" + }, + "ccb-refor": { + "category": "forest", + "known-strings": [ + "CCB - M/UT/F-A01: Methodology To Implement GHG Removal Projects Through Reforestation, Forest Restoration and the Establishment of Woody Crops" + ], + "program": "ccb", + "url": "https://www.cercarbono.com/wp-content/uploads/2021/11/Forest-and-Woody-Crops-Methodology-V.1.1.pdf" + }, + "ccb-renewables-eg": { + "category": "renewable-energy", + "known-strings": [ + "M/EE-EG001 Implementation of GHG Emission Reduction Projects Through Renewable Energy Use for Electric Power Generation." + ], + "program": "ccb" + }, + "ccb-renewables-er": { + "category": "renewable-energy", + "known-strings": [ + "CCB - M/E-ER01: Methodology for the realization of GHG emissions reduction projects by the use of renewable energy" + ], + "program": "ccb" + }, "climate-leaders-landfill": { "category": "ghg-management", "is_methane": true, @@ -1788,10 +1909,19 @@ "program": "epa", "sub-category": "landfill" }, + "ecy-forest": { + "category": "forest", + "known-strings": [ + "ECY Compliance Offset Protocol: U.S. Forest Projects", + "Improved Forest Management - WA ECO Compliance" + ], + "program": "ecy" + }, "ecy-ozone": { "category": "ghg-management", "known-strings": [ - "ECY Compliance Offset Protocol: Ozone Depleting Substances Projects" + "ECY Compliance Offset Protocol: Ozone Depleting Substances Projects", + "Ozone Depleting Substances - U.S. - WA ECO Compliance" ], "program": "ecy", "sub-category": "industrial-gases" @@ -1804,36 +1934,33 @@ "program": "acr", "sub-category": "industrial-gases" }, - "gs-shipping": { - "category": "energy-efficiency", - "sub-category": "transportation", - "known-strings": [ - "GS Retrofit Energy Efficiency Measures in Shipping v2", - "GS Retrofit Energy Efficiency Measures in Shipping v1" - ], - "url": "https://globalgoals.goldstandard.org/standards/422_V2.0_EE_Shipping_Retrofit-Energy-Efficiency-Measures-in-Shipping.pdf" - }, "gs-alt-coal": { "category": "energy-efficiency", - "sub-category": "cooking", "known-strings": ["GS Alternative Ignition Coal Fires v1."], + "sub-category": "cooking", "url": "https://www.goldstandard.org/sites/default/files/documents/alternative_ignition.pdf" }, - "gs-reforest": { - "category": "forest", + "gs-drinking-water": { + "category": "energy-efficiency", "known-strings": [ - "Afforestation/Reforestation GHG Emissions Reduction & Sequestration Methodology" + "GS Methodology for emission reductions from safe drinking water supply" ], - "url": "https://globalgoals.goldstandard.org/standards/403_V2.0_LUF_AR-Methodology-GHGs-emission-reduction-and-Sequestration-Methodology.pdf" + "sub-category": "drinking-water" }, - "gs-tpddtec": { - "category": "energy-efficiency", + "gs-biodigesters": { + "category": "ghg-management", + "known-strings": ["GS Baseline and Monitoring Methodology Biodigester v1."] + }, + "gs-manure-management": { + "category": "ghg-management", "known-strings": [ - "GS TPDDTEC v 1.", - "GS TPDDTEC v 2.", - "GS TPDDTEC v 3.", - "GS TPDDTEC v3.1", - "GS TPDDTEC V4.0: REDUCED EMISSIONS FROM COOKING AND HEATING – TECHNOLOGIES AND PRACTICES TO DISPLACE DECENTRALIZED THERMAL ENERGY CONSUMPTION" + "Methodology for animal waste management and biogas application" + ] + }, + "gs-rice": { + "category": "agriculture", + "known-strings": [ + "Methane Emission Reduction By Adjusted Water Management Practice In Rice Cultivation" ] }, "gs-kitchen-cookstoves": { @@ -1844,18 +1971,35 @@ "GS Methodology for Improved Cook stoves and Kitchen Regimes v2." ] }, - "gs-drinking-water": { + "gs-metered-cookstoves": { "category": "energy-efficiency", - "sub-category": "drinking-water", "known-strings": [ - "GS Methodology for emission reductions from safe drinking water supply" + "Methodology for Metered & Measured Energy Cooking Devices" ] }, - "gs-metered-cookstoves": { + "gs-wash": { "category": "energy-efficiency", + "known-strings": ["GS Water Access and WASH Methodology v1."] + }, + "gs-reforest": { + "category": "forest", "known-strings": [ - "Methodology for Metered & Measured Energy Cooking Devices" - ] + "Afforestation/Reforestation GHG Emissions Reduction & Sequestration Methodology" + ], + "url": "https://globalgoals.goldstandard.org/standards/403_V2.0_LUF_AR-Methodology-GHGs-emission-reduction-and-Sequestration-Methodology.pdf" + }, + "gs-soil": { + "category": "agriculture", + "known-strings": ["Soil Organic Carbon Framework Methodology"] + }, + "gs-shipping": { + "category": "energy-efficiency", + "known-strings": [ + "GS Retrofit Energy Efficiency Measures in Shipping v2", + "GS Retrofit Energy Efficiency Measures in Shipping v1" + ], + "sub-category": "transportation", + "url": "https://globalgoals.goldstandard.org/standards/422_V2.0_EE_Shipping_Retrofit-Energy-Efficiency-Measures-in-Shipping.pdf" }, "gs-simplified-cookstoves": { "category": "energy-efficiency", @@ -1865,6 +2009,68 @@ "The Gold Standard Simplified Methodology for Clean and Efficient Cookstoves, Version 3.0" ] }, + "gs-tpddtec": { + "category": "energy-efficiency", + "known-strings": [ + "GS TPDDTEC v 1.", + "GS TPDDTEC v 2.", + "GS TPDDTEC v 3.", + "GS TPDDTEC v3.1", + "GS TPDDTEC V4.0: REDUCED EMISSIONS FROM COOKING AND HEATING – TECHNOLOGIES AND PRACTICES TO DISPLACE DECENTRALIZED THERMAL ENERGY CONSUMPTION" + ] + }, + "iso-bio-burial": { + "category": "biomass-cdr", + "known-strings": ["subsurface-biomass"], + "program": "iso" + }, + "iso-bio-ccs": { + "category": "biomass-cdr", + "known-strings": ["biogenic-capture-and-storage"], + "program": "iso" + }, + "iso-bio-geo": { + "category": "biomass-cdr", + "known-strings": ["biomass-geological-storage"], + "program": "iso", + "url": "https://isometric.com/pathways/biomass-geological-storage" + }, + "iso-bio-oil": { + "category": "biomass-cdr", + "known-strings": ["bio-oil-geological-storage"], + "program": "iso" + }, + "iso-biochar": { + "category": "biomass-cdr", + "known-strings": ["biochar"], + "program": "iso", + "url": "https://isometric.com/pathways/biochar" + }, + "iso-dac": { + "category": "air-capture", + "known-strings": ["direct-air-capture"], + "program": "iso" + }, + "iso-erw": { + "category": "alkalinity-cdr", + "known-strings": ["enhanced-weathering-agriculture"], + "program": "iso" + }, + "iso-refor": { + "category": "forest", + "known-strings": ["reforestation"], + "program": "iso" + }, + "iso-river": { + "category": "alkalinity-cdr", + "known-strings": ["river-alkalinity-enhancement"], + "program": "iso" + }, + "iso-wastewater": { + "category": "alkalinity-cdr", + "known-strings": ["wastewater-alkalinity-enhancement"], + "program": "iso" + }, "unknown": { "category": "unknown", "known-strings": [ @@ -1909,7 +2115,7 @@ }, "vm0006": { "category": "forest", - "known-strings": ["VM0006", "AR-AMS0007; VM0006"], + "known-strings": ["VM0006; VM0048", "VM0006", "AR-AMS0007; VM0006"], "program": "vcs", "sub-category": "redd", "url": "https://verra.org/methodologies/vm0006-methodology-for-carbon-accounting-for-mosaic-and-landscape-scale-redd-projects-v2-2/" @@ -1917,13 +2123,20 @@ "vm0007": { "category": "forest", "known-strings": [ + "VM0007; VM0010; VM0048", + "VM0007; VM0033; VM0047", + "VM0007; VM0033; VM0047; VM0048", + "VM0007; VM0042", + "VM0007; VM0011", + "VM0007; VM0033", "VM0007; AR-ACM0003", "VM0007; VM0015", "VM0005; VM0007; VM0017", "VM0007", "AM0014; VM0007; AR-ACM0003", "VM0007; VM0010", - "VM0007; VM0048" + "VM0007; VM0048", + "VM0007; VM0047" ], "program": "vcs", "sub-category": "redd", @@ -1931,9 +2144,9 @@ }, "vm0008": { "category": "energy-efficiency", - "sub-category": "weatherization", "known-strings": ["VM0008"], - "program": "vcs" + "program": "vcs", + "sub-category": "weatherization" }, "vm0009": { "category": "forest", @@ -1943,13 +2156,13 @@ }, "vm0010": { "category": "forest", - "known-strings": ["VM0010", "VM0007; VM0010"], + "known-strings": ["VM0010", "VM0007; VM0010; VM0048", "VM0007; VM0010"], "program": "vcs", "url": "https://verra.org/methodologies/vm0010-methodology-for-improved-forest-management-conversion-from-logged-to-protected-forest-v1-3/" }, "vm0011": { "category": "forest", - "known-strings": ["VM0011"], + "known-strings": ["VM0007; VM0011", "VM0011"], "program": "vcs" }, "vm0012": { @@ -1971,7 +2184,9 @@ "vm0015": { "category": "forest", "known-strings": [ + "VM0015; VM0048", "VM00015", + "VM0015; VM0037", "VM0005; VM0015; Methodology Under Development", "VM0007; VM0015", "VM0015", @@ -2004,9 +2219,9 @@ }, "vm0019": { "category": "fuel-switching", - "sub-category": "transportation", "known-strings": ["VM0019"], - "program": "vcs" + "program": "vcs", + "sub-category": "transportation" }, "vm0021": { "known-strings": ["AMS-III.F.; VM0021", "VM0021"], @@ -2037,12 +2252,19 @@ }, "vm0032": { "category": "agriculture", - "known-strings": ["VM0032"], + "known-strings": ["VM0032; VM0042", "VM0032"], "program": "vcs" }, "vm0033": { "category": "unknown", - "known-strings": ["VM0033"], + "known-strings": [ + "VM0007; VM0033; VM0047", + "VM0007; VM0033; VM0047; VM0048", + "VM0033; VM0042", + "VM0033; VM0047", + "VM0007; VM0033", + "VM0033" + ], "program": "vcs", "url": "https://verra.org/methodologies/vm0033-methodology-for-tidal-wetland-and-seagrass-restoration-v2-1/" }, @@ -2060,15 +2282,22 @@ }, "vm0037": { "category": "forest", - "known-strings": ["VM0037"], + "known-strings": ["VM0037", "VM0015; VM0037"], "program": "vcs", "url": "https://verra.org/methodologies/vm0037-methodology-implementation-redd-activities-landscapes-affected-mosaic-deforestation-degradation-v1-0/" }, "vm0038": { "category": "fuel-switching", - "sub-category": "transportation", - "known-strings": ["AMS-III.C.; VM0038", "VM0038"], + "known-strings": [ + "AMS-I.F.; VMR0014; AMS-III.C; VM0038", + "AMS-I.F.; VMR0014; VM0038", + "AMS-I.F.; AMS-III.C.; VM0038", + "AMS-III.C.; VM0038", + "VM0038", + "VMR0014; VM0038" + ], "program": "vcs", + "sub-category": "transportation", "url": "https://verra.org/methodologies/vm0038-methodology-for-electric-vehicle-charging-systems-v1-0/" }, "vm0039": { @@ -2084,6 +2313,12 @@ "vm0042": { "category": "agriculture", "known-strings": [ + "VM0042; VM0048", + "AR-ACM0003; VM0042", + "VM0032; VM0042", + "VM0007; VM0042", + "VM0033; VM0042", + "VM0042; VM0047", "VM0041; VM0042", "ACM0003; VM0042", "AMS-I.F.; AMS-III.D.; AMS-III.AO.; VM0042", @@ -2123,16 +2358,49 @@ }, "vm0047": { "category": "forest", - "known-strings": ["VM0047", "VM0047; VM0048"], + "known-strings": [ + "VM0007; VM0033; VM0047", + "VM0007; VM0033; VM0047; VM0048", + "VM0033; VM0047", + "VM0042; VM0047", + "VM0047", + "VM0047; VM0048", + "VM0007; VM0047" + ], "program": "verra", "url": "https://verra.org/methodologies/vm0047-afforestation-reforestation-and-revegetation-v1-0/" }, "vm0048": { "category": "forest", - "known-strings": ["VM0007; VM0048", "VM0047; VM0048", "VM0048"], + "known-strings": [ + "VM0042; VM0048", + "VM0015; VM0048", + "VM0007; VM0033; VM0047; VM0048", + "VM0007; VM0010; VM0048", + "VM0006; VM0048", + "VM0007; VM0048", + "VM0047; VM0048", + "VM0048" + ], "program": "verra", "url": "https://verra.org/methodologies/vm0047-afforestation-reforestation-and-revegetation-v1-0/" }, + "vm0049": { + "category": "ghg-management", + "known-strings": ["VM0049"], + "program": "verra" + }, + "vm0050": { + "category": "energy-efficiency", + "known-strings": ["VM0050"], + "program": "verra", + "url": "https://verra.org/methodologies/vm0050-energy-efficiency-and-fuel-switch-measures-in-cookstoves-v1-0/" + }, + "vm0051": { + "category": "agriculture", + "known-strings": ["VM0051"], + "program": "verra" + }, "vmd00038": { "category": "energy-efficiency", "known-strings": ["VM0025; VMD0038"], @@ -2158,6 +2426,8 @@ "vmr0006": { "category": "energy-efficiency", "known-strings": [ + "AMS-II.G.; VMR0006; AMS-III.AR", + "AMS-I.E.; VMR0006; AMS-III.AV.", "VMR0006; AMS-III.AV.", "AMS-II.G.; VMR0006", "VMR0006; AMS-III.BG", @@ -2168,79 +2438,28 @@ "program": "vcs", "url": "https://verra.org/methodologies/vmr0006-methodology-for-installation-of-high-efficiency-firewood-cookstoves/" }, - "ccb-redd": { - "category": "forest", - "known-strings": [ - "CCB - M/LU-REDD+: Methodology for the Implementation of REDD+ Projects Consistent with National Reference Level" + "vmr0007": { + "category": "fuel-switching", + "known-string": [ + "AMS-III.D.; AMS-III.F.; VMR0007", + "VMR0007", + "VMR0007; VMR0008" ], - "program": "ccb", - "url": "https://www.cercarbono.com/wp-content/uploads/2023/01/REDD-Methodology-V-1.3.1.pdf" + "program": "verra" }, - "ccb-refor": { - "category": "forest", - "known-strings": [ - "CCB - M/UT/F-A01: Methodology To Implement GHG Removal Projects Through Reforestation, Forest Restoration and the Establishment of Woody Crop" - ], - "program": "ccb", - "url": "https://www.cercarbono.com/wp-content/uploads/2021/11/Forest-and-Woody-Crops-Methodology-V.1.1.pdf" + "vmr0008": { + "category": "energy-efficiency", + "known-string": ["VMR0008", "VMR0007; VMR0008"], + "program": "verra" }, - "ccb-renewables": { - "category": "renewable-energy", - "known-strings": [ - "CCB - M/E-ER01: Methodology for the realization of GHG emissions reduction projects by the use of renewable energy" + "vmr0014": { + "category": "energy-efficiency", + "known-string": [ + "AMS-I.F.; VMR0014; AMS-III.C; VM0038", + "AMS-I.F.; VMR0014; VM0038", + "VMR0014; VM0038", + "VMR0014" ], - "program": "ccb" - }, - "iso-biochar": { - "category": "biomass-cdr", - "known-strings": ["biochar"], - "program": "iso", - "url": "https://isometric.com/pathways/biochar" - }, - "iso-erw": { - "category": "alkalinity-cdr", - "known-strings": ["enhanced-weathering-agriculture"], - "program": "iso" - }, - "iso-dac": { - "category": "air-capture", - "known-strings": ["direct-air-capture"], - "program": "iso" - }, - "iso-bio-oil": { - "category": "biomass-cdr", - "known-strings": ["bio-oil-geological-storage"], - "program": "iso" - }, - "iso-bio-geo": { - "category": "biomass-cdr", - "known-strings": ["biomass-geological-storage"], - "program": "iso", - "url": "https://isometric.com/pathways/biomass-geological-storage" - }, - "iso-wastewater": { - "category": "alkalinity-cdr", - "known-strings": ["wastewater-alkalinity-enhancement"], - "program": "iso" - }, - "iso-river": { - "category": "alkalinity-cdr", - "known-strings": ["river-alkalinity-enhancement"], - "program": "iso" - }, - "iso-bio-burial": { - "category": "biomass-cdr", - "known-strings": ["subsurface-biomass"], - "program": "iso" - }, - "iso-bio-ccs": { - "category": "biomass-cdr", - "known-strings": ["biogenic-capture-and-storage"], - "program": "iso" - }, - "iso-refor": { - "category": "forest", - "known-strings": ["reforestation"], - "program": "iso" + "program": "verra" } } diff --git a/offsets_db_data/configs/beneficiary-mappings.json b/offsets_db_data/configs/beneficiary-mappings.json index b3b04e9..696f74f 100644 --- a/offsets_db_data/configs/beneficiary-mappings.json +++ b/offsets_db_data/configs/beneficiary-mappings.json @@ -64074,5 +64074,4301 @@ } ], "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/text-transform", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "cc", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "grel:value.replace(\";%;%Not public;%;%;%;%\", \"\")", + "onError": "keep-original", + "repeat": false, + "repeatCount": 10, + "description": "Text transform on cells in column merged_beneficiary using expression grel:value.replace(\";%;%Not public;%;%;%;%\", \"\")" + }, + { + "op": "core/text-transform", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "cc", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "grel:value.replace(\";%;%Delta Air Lines For DL 2021 Carbon Neutrality;%;%;%;%\", \"Delta Air Lines\")", + "onError": "keep-original", + "repeat": false, + "repeatCount": 10, + "description": "Text transform on cells in column merged_beneficiary using expression grel:value.replace(\";%;%Delta Air Lines For DL 2021 Carbon Neutrality;%;%;%;%\", \"Delta Air Lines\")" + }, + { + "op": 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"mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Patch;%Bain & Company;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Bain & Company" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Wren;%Molten Ventures;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Molten Ventures" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Rubicon Carbon;%Genesys Cloud Services, Inc.;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Genesys Cloud Services" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Patch;%Piva Capital;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Piva Capital" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Patch;%Princeville Capital;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Princeville Capital" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Patch;%Future Energy Ventures Management GmbH;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Future Energy Ventures Management" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Stripe;%CaptureNow;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "CaptureNow" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Stripe;%Own Your Beliefs Inc.;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "Own Your Beliefs" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": ["Stripe;%DeliverOne;%;%;%;%"], + "fromBlank": false, + "fromError": false, + "to": "DeliverOne" + } + ], + "description": "Mass edit cells in column merged_beneficiary" + }, + { + "op": "core/mass-edit", + "engineConfig": { + "facets": [ + { + "type": "text", + "name": "transaction_type", + "columnName": "transaction_type", + "query": "retir", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "project_id", + "columnName": "project_id", + "query": "iso", + "mode": "text", + "caseSensitive": false, + "invert": false + }, + { + "type": "text", + "name": "merged_beneficiary", + "columnName": "merged_beneficiary", + "query": ";%", + "mode": "text", + "caseSensitive": false, + "invert": false + } + ], + "mode": "row-based" + }, + "columnName": "merged_beneficiary", + "expression": "value", + "edits": [ + { + "from": [ + "CEEZER;%Deutscher Verband für Negative Emissionen e.V.;%;%;%;%" + ], + "fromBlank": false, + "fromError": false, + "to": "Deutscher Verband für Negative Emissionen" + } + ], + "description": "Mass edit cells in column merged_beneficiary" } ] diff --git a/offsets_db_data/configs/credits-raw-columns-mapping.json b/offsets_db_data/configs/credits-raw-columns-mapping.json index d5a7d6c..691e18c 100644 --- a/offsets_db_data/configs/credits-raw-columns-mapping.json +++ b/offsets_db_data/configs/credits-raw-columns-mapping.json @@ -8,6 +8,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Status Effective (GMT)", + "transaction_url": null, "vintage": "Vintage" }, "issuances": { @@ -18,6 +19,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Date Issued (GMT)", + "transaction_url": null, "vintage": "Vintage" }, "retirements": { @@ -28,6 +30,7 @@ "retirement_note": "Purpose of Retirement", "retirement_reason": "Retirement Reason", "transaction_date": "Status Effective (GMT)", + "transaction_url": null, "vintage": "Vintage" } }, @@ -40,6 +43,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Status Effective", + "transaction_url": null, "vintage": "Vintage" }, "issuances": { @@ -50,6 +54,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Date Approved", + "transaction_url": null, "vintage": "Vintage" }, "retirements": { @@ -60,9 +65,34 @@ "retirement_note": "Retirement Reason Details", "retirement_reason": "Retirement Reason", "transaction_date": "Status Effective", + "transaction_url": null, "vintage": "Vintage" } }, + "cercarbono": { + "issuances": { + "project_id": null, + "quantity": "issued_quantity", + "retirement_account": null, + "retirement_beneficiary": null, + "retirement_note": null, + "retirement_reason": null, + "transaction_date": "issuance_date", + "transaction_url": null, + "vintage": null + }, + "retirements": { + "project_id": "project_id", + "quantity": "quantity", + "retirement_account": null, + "retirement_beneficiary": "end_user", + "retirement_note": null, + "retirement_reason": null, + "transaction_date": "date", + "transaction_url": null, + "vintage": "vintage" + } + }, "climate-action-reserve": { "cancellations": { "project_id": "Project ID", @@ -72,6 +102,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Status Effective", + "transaction_url": null, "vintage": "Vintage" }, "issuances": { @@ -82,6 +113,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Date Issued", + "transaction_url": null, "vintage": "Vintage" }, "retirements": { @@ -92,6 +124,7 @@ "retirement_note": "Retirement Reason Details", "retirement_reason": "Retirement Reason", "transaction_date": "Status Effective", + "transaction_url": null, "vintage": "Vintage" } }, @@ -104,6 +137,7 @@ "retirement_note": null, "retirement_reason": null, "transaction_date": "Issuance Date", + "transaction_url": null, "vintage": "Vintage" }, "retirements": { @@ -114,9 +148,34 @@ "retirement_note": "Note", "retirement_reason": null, "transaction_date": "Retirement Date", + "transaction_url": null, "vintage": "Vintage" } }, + "isometric": { + "issuances": { + "project_id": "project_id", + "quantity": "credit_batch_size_total.credits", + "retirement_account": null, + "retirement_beneficiary": null, + "retirement_note": null, + "retirement_reason": null, + "transaction_date": "issued_at", + "transaction_url": null, + "vintage": "sequestered_on" + }, + "retirements": { + "project_id": "project_id", + "quantity": "credit_batch_size_total.credits", + "retirement_account": "owner.name", + "retirement_beneficiary": "beneficiary.name", + "retirement_note": "notes", + "retirement_reason": "purposes", + "transaction_date": "retired_at", + "transaction_url": "url", + "vintage": "sequestered_on" + } + }, "verra": { "transactions": { "project_id": null, @@ -126,7 +185,8 @@ "retirement_note": "Retirement Details", "retirement_reason": "Retirement Reason", "transaction_date": null, - "vintage": null + "transaction_url": null, + "vintage": "null" } } } diff --git a/offsets_db_data/configs/projects-raw-columns-mapping.json b/offsets_db_data/configs/projects-raw-columns-mapping.json index 2d1cdac..451a439 100644 --- a/offsets_db_data/configs/projects-raw-columns-mapping.json +++ b/offsets_db_data/configs/projects-raw-columns-mapping.json @@ -2,50 +2,64 @@ "country": { "american-carbon-registry": "Project Site Country", "art-trees": "Program Country", + "cercarbono": null, "climate-action-reserve": "Project Site Country", "gold-standard": "Country", + "isometric": "location.country_name", "verra": "Country/Area" }, "listed_at": { "american-carbon-registry": null, "art-trees": null, + "cercarbono": null, "climate-action-reserve": "Project Listed Date", "gold-standard": null, + "isometric": null, "verra": null }, "name": { "american-carbon-registry": "Project Name", "art-trees": "Program Name", + "cercarbono": "name", "climate-action-reserve": "Project Name", "gold-standard": "Project Name", + "isometric": "name", "verra": "Name" }, "original_protocol": { "american-carbon-registry": "Project Methodology/Protocol", "art-trees": null, + "cercarbono": "quantification_method", "climate-action-reserve": "Project Type", "gold-standard": "Methodology", + "isometric": "protocol_slug", "verra": "Methodology" }, "project_id": { "american-carbon-registry": "Project ID", "art-trees": "Program ID", + "cercarbono": "code", "climate-action-reserve": "Project ID", "gold-standard": "GSID", + "isometric": "short_code", "verra": "ID" }, "proponent": { "american-carbon-registry": null, "art-trees": "Sovereign Program Developer", + "cercarbono": "owner", "climate-action-reserve": "Project Owner", "gold-standard": "Project Developer Name", + "isometric": "supplier.organisation.name", "verra": "Proponent" }, "status": { "american-carbon-registry": null, "art-trees": "Status", + "cercarbono": "stage", "climate-action-reserve": "Status", "gold-standard": "Status", + "isometric": "status", "verra": "Status" } } diff --git a/offsets_db_data/credits.py b/offsets_db_data/credits.py index e24639a..e50e54c 100644 --- a/offsets_db_data/credits.py +++ b/offsets_db_data/credits.py @@ -158,15 +158,22 @@ def harmonize_beneficiary_data( data = credits.copy() data['retirement_beneficiary_harmonized'] = pd.Series(dtype='str') return data + datetime_cols = [ + col for col in credits.columns if pd.api.types.is_datetime64_any_dtype(credits[col]) + ] credits.to_csv(temp_path, index=False) project_name = f'{registry_name}-{download_type}-beneficiary-harmonization-{datetime.datetime.now().strftime("%Y%m%d%H%M%S")}-{uuid.uuid4()}' output_path = pathlib.Path(tempdir) / f'{project_name}.csv' try: - return _extract_harmonized_beneficiary_data_via_openrefine( + data = _extract_harmonized_beneficiary_data_via_openrefine( temp_path, project_name, str(BENEFICIARY_MAPPING_UPATH), str(output_path) ) + for col in datetime_cols: + if col in data.columns: + data[col] = pd.to_datetime(data[col], utc=True).dt.normalize().dt.as_unit('ns') + return data except subprocess.CalledProcessError as e: raise ValueError( @@ -240,10 +247,10 @@ def _extract_harmonized_beneficiary_data_via_openrefine( print(result.stdout) data = pd.read_csv(output_path) - data['merged_beneficiary'] = data['merged_beneficiary'].fillna('').astype(str) + merged = data['merged_beneficiary'].fillna('').astype(str) data['retirement_beneficiary_harmonized'] = np.where( - data['merged_beneficiary'].notnull() & (~data['merged_beneficiary'].str.contains(';%')), - data['merged_beneficiary'], + merged.notnull() & (~merged.str.contains(';%')), + merged, np.nan, ) - return data + return data.drop(columns=['merged_beneficiary'], errors='ignore') diff --git a/offsets_db_data/gld.py b/offsets_db_data/gld.py index 1190284..02072f1 100644 --- a/offsets_db_data/gld.py +++ b/offsets_db_data/gld.py @@ -8,6 +8,7 @@ PROJECT_SCHEMA_UPATH, load_column_mapping, load_inverted_protocol_mapping, + load_protocol_mapping, load_registry_project_column_mapping, load_type_category_mapping, ) @@ -212,6 +213,7 @@ def process_gld_projects( inverted_column_mapping = {value: key for key, value in registry_project_column_mapping.items()} type_category_mapping = load_type_category_mapping() inverted_protocol_mapping = load_inverted_protocol_mapping() + protocol_mapping = load_protocol_mapping() df = df.copy() credits = credits.copy() @@ -230,8 +232,9 @@ def process_gld_projects( override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' ) .add_category( - type_category_mapping=type_category_mapping - ) # must come after types; type -> category + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent .map_project_type_to_display_name(type_category_mapping=type_category_mapping) .add_is_compliance_flag() .add_retired_and_issued_totals(credits=credits) @@ -256,8 +259,9 @@ def process_gld_projects( override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' ) .add_category( - type_category_mapping=type_category_mapping - ) # must come after types; type -> category + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent .map_project_type_to_display_name(type_category_mapping=type_category_mapping) .add_is_compliance_flag() .add_missing_columns(schema=project_schema) diff --git a/offsets_db_data/isometric.py b/offsets_db_data/isometric.py new file mode 100644 index 0000000..ecb5b87 --- /dev/null +++ b/offsets_db_data/isometric.py @@ -0,0 +1,200 @@ +import pandas as pd +import pandas_flavor as pf + +from offsets_db_data.common import ( + BERKELEY_PROJECT_TYPE_UPATH, + CREDIT_SCHEMA_UPATH, + PROJECT_SCHEMA_UPATH, + load_column_mapping, + load_inverted_protocol_mapping, + load_protocol_mapping, + load_registry_project_column_mapping, + load_type_category_mapping, +) +from offsets_db_data.credits import ( + aggregate_issuance_transactions, # noqa: F401 + filter_and_merge_transactions, # noqa: F401 + harmonize_beneficiary_data, + merge_with_arb, # noqa: F401 +) +from offsets_db_data.models import credit_without_id_schema, project_schema +from offsets_db_data.projects import ( + add_category, # noqa: F401 + add_first_issuance_and_retirement_dates, # noqa: F401 + add_is_compliance_flag, # noqa: F401 + add_retired_and_issued_totals, # noqa: F401 + harmonize_country_names, # noqa: F401 + harmonize_status_codes, # noqa: F401 + map_protocol, # noqa: F401 +) + + +@pf.register_dataframe_method +def add_isometric_project_url(df: pd.DataFrame) -> pd.DataFrame: + """Add project URL column for Isometric projects. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Isometric project data. + + Returns + ------- + pd.DataFrame + Dataframe with added project URL column. + """ + df['project_url'] = df['url'] + return df + + +@pf.register_dataframe_method +def add_isometric_project_id(df: pd.DataFrame, prefix: str = 'ISO') -> pd.DataFrame: + """Add project ID column for Isometric credits dataframe. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Isometric credit transactions data. + + Returns + ------- + pd.DataFrame + Dataframe with added project ID column. + """ + df = df.copy() + df['project_id'] = prefix + df['project_id'].astype(str) + + return df + + +@pf.register_dataframe_method +def process_isometric_credits( + df: pd.DataFrame, + *, + download_type: str, + prj_id_to_short_code: dict | None = None, + registry_name: str = 'isometric', + prefix: str = 'ISO', + harmonize_beneficiary_info: bool = False, +) -> pd.DataFrame: + """Process Isometric credits dataframe to conform to offsets-db schema. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Isometric credit transactions data. + + Returns + ------- + pd.DataFrame + Dataframe conforming to offsets-db credit schema. + """ + column_mapping = load_column_mapping( + registry_name=registry_name, download_type=download_type, mapping_path=CREDIT_SCHEMA_UPATH + ) + + columns = {v: k for k, v in column_mapping.items()} + df = df.copy() + # Add project ID with prefix using the prj_id_to_short_code mapping if provided + if prj_id_to_short_code is not None: + df['project_id'] = prefix + df['project_id'].map(prj_id_to_short_code) + + if df.empty: + return ( + pd.DataFrame(columns=credit_without_id_schema.columns.keys()) + .add_missing_columns(schema=credit_without_id_schema) + .convert_to_datetime(columns=['transaction_date'], format='%Y-%m-%d') + .add_missing_columns(schema=credit_without_id_schema) + .validate(schema=credit_without_id_schema) + ) + if download_type == 'issuances': + df['transaction_type'] = 'issuance' + df['transaction_url'] = 'https://registry.isometric.com/issuance/' + df['id'].astype(str) + if 'sequestered_on' in df.columns: + df = df.convert_to_datetime(columns=['sequestered_on']) + df['sequestered_on'] = df['sequestered_on'].dt.year + elif download_type == 'retirements': + df = df.convert_to_datetime(columns=['sequestered_on']) + df['sequestered_on'] = df['sequestered_on'].dt.year + df['transaction_type'] = 'retirement' + # purposes is a list[str] from the API — flatten to comma-joined string + df['purposes'] = df['purposes'].apply( + lambda x: ', '.join(x) if isinstance(x, list) and x else None + ) + # notes arrives as empty string when unset — normalise to None + df['notes'] = df['notes'].replace('', None) + data = ( + df.rename(columns=columns) + .set_registry(registry_name=registry_name) + .convert_to_datetime(columns=['transaction_date'], format='%Y-%m-%d') + .add_missing_columns(schema=credit_without_id_schema) + .validate(schema=credit_without_id_schema) + ) + + if harmonize_beneficiary_info: + data = data.pipe( + harmonize_beneficiary_data, registry_name=registry_name, download_type=download_type + ) + + return data + + +@pf.register_dataframe_method +def process_isometric_projects( + df: pd.DataFrame, + *, + credits: pd.DataFrame, + registry_name: str = 'isometric', +) -> pd.DataFrame: + """Process Isometric projects dataframe to conform to offsets-db schema. + + Parameters + ---------- + df : pd.DataFrame + Input dataframe containing Isometric project data. + credits : pd.DataFrame + Dataframe containing credit transactions data. + registry_name : str, optional + Name of the registry to be added to the dataframe, by default "isometric" + + Returns + ------- + pd.DataFrame + Dataframe conforming to offsets-db project schema. + """ + + registry_project_column_mapping = load_registry_project_column_mapping( + registry_name=registry_name, file_path=PROJECT_SCHEMA_UPATH + ) + inverted_column_mapping = {value: key for key, value in registry_project_column_mapping.items()} + type_category_mapping = load_type_category_mapping() + inverted_protocol_mapping = load_inverted_protocol_mapping() + protocol_mapping = load_protocol_mapping() + + df = df.copy() + credits = credits.copy() + + data = ( + df.rename(columns=inverted_column_mapping) + .set_registry(registry_name=registry_name) + .add_isometric_project_id() + .add_isometric_project_url() + .harmonize_country_names() + .harmonize_status_codes() + .map_protocol(inverted_protocol_mapping=inverted_protocol_mapping) + .infer_project_type() + .override_project_types( + override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' + ) + .add_category( + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent + .map_project_type_to_display_name(type_category_mapping=type_category_mapping) + .add_retired_and_issued_totals(credits=credits) + .add_first_issuance_and_retirement_dates(credits=credits) + .add_missing_columns(schema=project_schema) + .convert_to_datetime(columns=['listed_at', 'first_issuance_at', 'first_retirement_at']) + .validate(schema=project_schema) + ) + return data diff --git a/offsets_db_data/models.py b/offsets_db_data/models.py index 6b50342..8db2b07 100644 --- a/offsets_db_data/models.py +++ b/offsets_db_data/models.py @@ -2,7 +2,7 @@ import janitor # noqa: F401 import pandas as pd -import pandera as pa +import pandera.pandas as pa RegistryType = typing.Literal[ 'verra', @@ -18,15 +18,18 @@ project_schema = pa.DataFrameSchema( { - 'protocol': pa.Column(pa.Object, nullable=True), # Array of strings + 'protocol': pa.Column(pa.Object, nullable=True), # Array of mapped protocol IDs + 'protocol_unassigned': pa.Column( + pa.Object, nullable=True + ), # Array of unrecognised raw strings 'category': pa.Column(pa.String, nullable=True), 'project_type': pa.Column(pa.String, nullable=False), 'project_type_source': pa.Column(pa.String, nullable=False), 'retired': pa.Column( - pa.Int, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True + pa.Float64, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True ), 'issued': pa.Column( - pa.Int, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True + pa.Float64, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True ), 'project_id': pa.Column(pa.String, nullable=False), 'name': pa.Column(pa.String, nullable=True), @@ -46,7 +49,7 @@ credit_without_id_schema = pa.DataFrameSchema( { 'quantity': pa.Column( - pa.Int, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True + pa.Float64, pa.Check.greater_than_or_equal_to(0), nullable=True, coerce=True ), 'project_id': pa.Column(pa.String, nullable=False), 'vintage': pa.Column(pa.Int, nullable=True, coerce=True), @@ -57,6 +60,7 @@ 'retirement_note': pa.Column(pa.String, nullable=True), 'retirement_beneficiary': pa.Column(pa.String, nullable=True), 'retirement_beneficiary_harmonized': pa.Column(pa.String, nullable=True), + 'transaction_url': pa.Column(pa.String, nullable=True), } ) diff --git a/offsets_db_data/pipeline_utils.py b/offsets_db_data/pipeline_utils.py index 656a6ac..f25b07e 100644 --- a/offsets_db_data/pipeline_utils.py +++ b/offsets_db_data/pipeline_utils.py @@ -10,6 +10,7 @@ import pyarrow.parquet as pq from offsets_db_data.data import catalog +from offsets_db_data.projects import add_placeholder_projects from offsets_db_data.registry import get_registry_from_project_id @@ -271,7 +272,7 @@ def write_latest_production( generated_at = datetime.datetime.now(tz=datetime.timezone.utc) # Get terms content once - fs = fsspec.filesystem('s3', anon=False) + fs = fsspec.filesystem('https') terms_content = fs.read_text(terms_url) for format_type, path in paths.items(): @@ -327,6 +328,8 @@ def transform_registry_data( else: print(f'processed projects: {projects.head()}') + projects = add_placeholder_projects(projects=projects, credits=credits) + # Summarize data summarize(credits=credits, projects=projects, registry_name=registry_name) diff --git a/offsets_db_data/projects.py b/offsets_db_data/projects.py index 658e250..33da239 100644 --- a/offsets_db_data/projects.py +++ b/offsets_db_data/projects.py @@ -1,5 +1,6 @@ import contextlib import json +from decimal import Decimal import country_converter as coco import janitor # noqa: F401 @@ -7,6 +8,18 @@ import pandas as pd import pandas_flavor as pf +from offsets_db_data.common import convert_to_datetime, validate +from offsets_db_data.models import project_schema + +_REGISTRY_PROJECT_URLS = { + 'verra': 'https://registry.verra.org/app/projectDetail/VCS/', + 'gold-standard': 'https://registry.goldstandard.org/projects?q=gs', + 'american-carbon-registry': 'https://acr2.apx.com/mymodule/reg/prjView.asp?id1=', + 'climate-action-reserve': 'https://thereserve2.apx.com/mymodule/reg/prjView.asp?id1=', + 'art-trees': 'https://art.apx.com/mymodule/reg/prjView.asp?id1=', + 'cercarbono': 'https://www.ecoregistry.io/projects/CDC-', +} + @pf.register_dataframe_method def harmonize_country_names(df: pd.DataFrame, *, country_column: str = 'country') -> pd.DataFrame: @@ -34,16 +47,26 @@ def harmonize_country_names(df: pd.DataFrame, *, country_column: str = 'country' @pf.register_dataframe_method -def add_category(df: pd.DataFrame, *, type_category_mapping: dict) -> pd.DataFrame: +def add_category( + df: pd.DataFrame, *, type_category_mapping: dict, protocol_mapping: dict | None = None +) -> pd.DataFrame: """ Add a category to each record in the DataFrame based on its protocol. + Category is derived directly from the protocol via protocol_mapping when available, + falling back to type_category_mapping via project_type. This keeps category and + project_type independent of each other. + Parameters ---------- df : pd.DataFrame Input DataFrame containing protocol data. type_category_mapping : dict - Dictionary mapping types to categories. + Dictionary mapping project_type strings to categories (fallback). + protocol_mapping : dict, optional + The full protocol mapping (from all-protocol-mapping.json). When provided, + category is read directly from the matched protocol's 'category' field, + which decouples it from project_type. Returns ------- @@ -52,12 +75,27 @@ def add_category(df: pd.DataFrame, *, type_category_mapping: dict) -> pd.DataFra """ print('Adding category based on protocol...') - df['category'] = ( - df['project_type'] - .str.lower() - .map({key.lower(): value['category'] for key, value in type_category_mapping.items()}) - .fillna('unknown') - ) + + if protocol_mapping is not None: + + def _category_from_protocol(protocol_list: list | None) -> str: + if not protocol_list: + return 'unknown' + for p in protocol_list: + cat = protocol_mapping.get(p, {}).get('category') + if cat and cat != 'unknown': + return cat + return 'unknown' + + df['category'] = df['protocol'].apply(_category_from_protocol) + else: + # Legacy fallback: derive category from project_type via type_category_mapping + df['category'] = ( + df['project_type'] + .str.lower() + .map({key.lower(): value['category'] for key, value in type_category_mapping.items()}) + .fillna('unknown') + ) return df @@ -104,73 +142,61 @@ def infer_project_type(df: pd.DataFrame) -> pd.DataFrame: pd.DataFrame DataFrame with a new 'project_type' column, indicating the project's type. Defaults to None """ + + def _has_protocol(pid: str): + return lambda x: x['protocol'] is not None and pid in x['protocol'] + df.loc[:, 'project_type'] = 'unknown' df.loc[:, 'project_type_source'] = 'carbonplan' - df.loc[df.apply(lambda x: 'art-trees' in x['protocol'], axis=1), 'project_type'] = 'redd+' + df.loc[df.apply(_has_protocol('art-trees'), axis=1), 'project_type'] = 'redd+' - df.loc[df.apply(lambda x: 'acr-ifm-nonfed' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('acr-ifm-nonfed'), axis=1), 'project_type'] = ( 'improved forest management' ) - df.loc[df.apply(lambda x: 'acr-refridge' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('acr-refridge'), axis=1), 'project_type'] = ( 'advanced refrigerants' ) - df.loc[df.apply(lambda x: 'acr-abandoned-wells' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('acr-abandoned-wells'), axis=1), 'project_type'] = ( 'plugging oil & gas wells' ) - df.loc[df.apply(lambda x: 'arb-mine-methane' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('arb-mine-methane'), axis=1), 'project_type'] = ( 'mine methane capture' ) - df.loc[df.apply(lambda x: 'vm0048' in x['protocol'], axis=1), 'project_type'] = 'redd+' - df.loc[df.apply(lambda x: 'vm0047' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('vm0048'), axis=1), 'project_type'] = 'redd+' + df.loc[df.apply(_has_protocol('vm0047'), axis=1), 'project_type'] = ( 'afforestation/reforestation' ) - df.loc[df.apply(lambda x: 'vm0045' in x['protocol'], axis=1), 'project_type'] = ( - 'improved forest management' - ) - df.loc[df.apply(lambda x: 'vm0042' in x['protocol'], axis=1), 'project_type'] = ( - 'sustainable agriculture' - ) - df.loc[df.apply(lambda x: 'vm0007' in x['protocol'], axis=1), 'project_type'] = 'redd+' + df.loc[df.apply(_has_protocol('vm0045'), axis=1), 'project_type'] = 'improved forest management' + df.loc[df.apply(_has_protocol('vm0042'), axis=1), 'project_type'] = 'sustainable agriculture' + df.loc[df.apply(_has_protocol('vm0007'), axis=1), 'project_type'] = 'redd+' - df.loc[df.apply(lambda x: 'acm0001' in x['protocol'], axis=1), 'project_type'] = 'landfill' - df.loc[df.apply(lambda x: 'acm0002' in x['protocol'], axis=1), 'project_type'] = 'natural gas' + df.loc[df.apply(_has_protocol('acm0001'), axis=1), 'project_type'] = 'landfill methane' + df.loc[df.apply(_has_protocol('acm0002'), axis=1), 'project_type'] = 're bundled' - df.loc[df.apply(lambda x: 'iso-refor' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('iso-refor'), axis=1), 'project_type'] = ( 'afforestation/reforestation' ) - df.loc[df.apply(lambda x: 'iso-biochar' in x['protocol'], axis=1), 'project_type'] = 'biochar' - df.loc[df.apply(lambda x: 'iso-bio-burial' in x['protocol'], axis=1), 'project_type'] = ( - 'biomass burial' - ) - df.loc[df.apply(lambda x: 'iso-bio-geo' in x['protocol'], axis=1), 'project_type'] = ( - 'biomass injection' - ) - df.loc[df.apply(lambda x: 'iso-bio-oil' in x['protocol'], axis=1), 'project_type'] = ( - 'biomass injection' - ) - df.loc[df.apply(lambda x: 'iso-dac' in x['protocol'], axis=1), 'project_type'] = ( - 'direct air capture' - ) - df.loc[df.apply(lambda x: 'iso-erw' in x['protocol'], axis=1), 'project_type'] = ( - 'enhanced rock weathering' - ) - - df.loc[df.apply(lambda x: 'ccb-refor' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('iso-biochar'), axis=1), 'project_type'] = 'biochar' + df.loc[df.apply(_has_protocol('iso-bio-burial'), axis=1), 'project_type'] = 'biomass burial' + df.loc[df.apply(_has_protocol('iso-bio-geo'), axis=1), 'project_type'] = 'biomass injection' + df.loc[df.apply(_has_protocol('iso-bio-oil'), axis=1), 'project_type'] = 'biomass injection' + df.loc[df.apply(_has_protocol('iso-dac'), axis=1), 'project_type'] = 'direct air capture' + df.loc[df.apply(_has_protocol('iso-erw'), axis=1), 'project_type'] = 'enhanced rock weathering' + + df.loc[df.apply(_has_protocol('ccb-refor'), axis=1), 'project_type'] = ( 'afforestation/reforestation' ) - df.loc[df.apply(lambda x: 'ccb-redd' in x['protocol'], axis=1), 'project_type'] = 'redd+' + df.loc[df.apply(_has_protocol('ccb-redd'), axis=1), 'project_type'] = 'redd+' - df.loc[df.apply(lambda x: 'car-forest-mx' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('car-forest-mx'), axis=1), 'project_type'] = ( 'improved forest management' ) - df.loc[df.apply(lambda x: 'gs-reforest' in x['protocol'], axis=1), 'project_type'] = ( + df.loc[df.apply(_has_protocol('gs-reforest'), axis=1), 'project_type'] = ( 'afforestation/reforestation' ) - df.loc[df.apply(lambda x: 'gs-drinking-water' in x['protocol'], axis=1), 'project_type'] = ( - 'clean water' - ) + df.loc[df.apply(_has_protocol('gs-drinking-water'), axis=1), 'project_type'] = 'clean water' return df @@ -227,7 +253,10 @@ def add_is_compliance_flag(df: pd.DataFrame) -> pd.DataFrame: print('Adding is_compliance flag...') df['is_compliance'] = df.apply( - lambda row: np.any([protocol_str.startswith('arb-') for protocol_str in row['protocol']]), + lambda row: ( + row['protocol'] is not None + and np.any([protocol_str.startswith('arb-') for protocol_str in row['protocol']]) + ), axis=1, ) return df @@ -260,14 +289,16 @@ def map_protocol( print('Mapping protocol based on known string...') try: - df['protocol'] = df[original_protocol_column].apply( + results = df[original_protocol_column].apply( lambda item: find_protocol( search_string=item, inverted_protocol_mapping=inverted_protocol_mapping ) ) + df['protocol'] = [r[0] for r in results] + df['protocol_unassigned'] = [r[1] for r in results] except KeyError: - # art-trees doesnt have protocol column - df['protocol'] = [['unknown']] * len(df) # protocol column is nested list + df['protocol'] = [None] * len(df) + df['protocol_unassigned'] = [None] * len(df) return df @@ -326,17 +357,25 @@ def harmonize_status_codes(df: pd.DataFrame, *, status_column: str = 'status') - def find_protocol( *, search_string: str, inverted_protocol_mapping: dict[str, list[str]] -) -> list[str]: - """Match known strings of project methodologies to internal topology +) -> tuple[list[str] | None, list[str] | None]: + """Match known strings of project methodologies to internal topology. + + Returns a ``(mapped, unmatched)`` tuple: + + * ``mapped`` — list of normalised protocol IDs when the string is recognised, else ``None``. + * ``unmatched`` — list containing the raw string when it is present but unrecognised, else ``None``. - Unmatched strings are passed through to the database, until such time that we update mapping data. + NaN, empty, and whitespace-only strings yield ``(None, None)``. """ - if pd.isna(search_string): # handle nan case, which crops up in verra data right now - return ['unknown'] - if known_match := inverted_protocol_mapping.get(search_string.strip()): - return known_match # inverted_mapping returns lst + if pd.isna(search_string) or not str(search_string).strip(): + return None, None + stripped = search_string.strip() + if known_match := inverted_protocol_mapping.get(stripped): + if known_match == ['unknown']: + return None, [search_string] + return known_match, None print(f"'{search_string}' is unmapped in full protocol mapping") - return [search_string] + return None, [search_string] def get_protocol_category(*, protocol_strs: list[str] | str, protocol_mapping: dict) -> list[str]: @@ -445,9 +484,19 @@ def add_retired_and_issued_totals(projects: pd.DataFrame, *, credits: pd.DataFra # # filter out the projects that are not in the credits data # credits = credits[credits['project_id'].isin(projects['project_id'].unique())] - # groupd and sum + # infer source precision and round after sum to avoid float64 representation errors + # (e.g. 153.89 + 235.53 = 389.41999... in binary float) + source_precision = int( + credits['quantity'] + .dropna() + .apply(lambda x: max(0, -Decimal(repr(x)).as_tuple().exponent)) + .max() + ) credit_totals = ( - credits.groupby(['project_id', 'transaction_type'])['quantity'].sum().reset_index() + credits.groupby(['project_id', 'transaction_type'])['quantity'] + .sum() + .round(source_precision) + .reset_index() ) # pivot the table credit_totals_pivot = credit_totals.pivot( @@ -472,3 +521,109 @@ def add_retired_and_issued_totals(projects: pd.DataFrame, *, credits: pd.DataFra projects_combined[['issued', 'retired']] = projects_combined[['issued', 'retired']].fillna(0) return projects_combined + + +def add_placeholder_projects( + *, + credits: pd.DataFrame, + projects: pd.DataFrame, +) -> pd.DataFrame: + """ + Append placeholder project rows for any project IDs found in credits but absent from projects. + + Computes issued/retired totals and first issuance/retirement dates from credit data so that + placeholder rows arrive in the database with correct summary stats rather than zeroed-out + defaults. Call this on the combined (all-registry) DataFrames before writing to parquet. + + Parameters + ---------- + credits : pd.DataFrame + Combined credits DataFrame (all registries). + projects : pd.DataFrame + Combined projects DataFrame (all registries). + + Returns + ------- + pd.DataFrame + Projects DataFrame with placeholder rows appended for orphan project IDs. + """ + from offsets_db_data.registry import get_registry_from_project_id + + orphan_ids = set(credits['project_id'].unique()) - set(projects['project_id'].unique()) + + if not orphan_ids: + return projects + + print(f'Found {len(orphan_ids)} project IDs in credits with no project record: {orphan_ids}') + + orphan_credits = credits[credits['project_id'].isin(orphan_ids)] + + issued = ( + orphan_credits[orphan_credits['transaction_type'] == 'issuance'] + .groupby('project_id')['quantity'] + .sum() + .rename('issued') + ) + retired = ( + orphan_credits[orphan_credits['transaction_type'].str.contains('retirement', na=False)] + .groupby('project_id')['quantity'] + .sum() + .rename('retired') + ) + first_issuance_at = ( + orphan_credits[orphan_credits['transaction_type'] == 'issuance'] + .groupby('project_id')['transaction_date'] + .min() + .rename('first_issuance_at') + .dt.as_unit('ns') + ) + first_retirement_at = ( + orphan_credits[orphan_credits['transaction_type'].str.contains('retirement', na=False)] + .groupby('project_id')['transaction_date'] + .min() + .rename('first_retirement_at') + .dt.as_unit('ns') + ) + + stats = pd.concat( + [issued, retired, first_issuance_at, first_retirement_at], axis=1 + ).reset_index() + stats[['issued', 'retired']] = stats[['issued', 'retired']].fillna(0) + + rows = [] + for _, row in stats.iterrows(): + project_id = row['project_id'] + try: + registry = get_registry_from_project_id(project_id) + except KeyError: + registry = 'unknown' + base_url = _REGISTRY_PROJECT_URLS.get(registry) + project_url = f'{base_url}{project_id[3:]}' if base_url else None + rows.append( + { + 'project_id': project_id, + 'registry': registry, + 'project_type': 'Unknown', + 'project_type_source': 'carbonplan', + 'category': 'unknown', + 'protocol': None, + 'protocol_unassigned': None, + 'issued': row.get('issued', 0.0), + 'retired': row.get('retired', 0.0), + 'first_issuance_at': row.get('first_issuance_at'), + 'first_retirement_at': row.get('first_retirement_at'), + 'is_compliance': False, + 'project_url': project_url, + 'name': None, + 'proponent': None, + 'status': None, + 'country': None, + 'listed_at': None, + } + ) + + data = pd.concat([projects, pd.DataFrame(rows)], ignore_index=True) + data = convert_to_datetime( + data, columns=['first_issuance_at', 'first_retirement_at', 'listed_at'] + ) + return validate(data, schema=project_schema) diff --git a/offsets_db_data/registry.py b/offsets_db_data/registry.py index 9eb5e32..0b17627 100644 --- a/offsets_db_data/registry.py +++ b/offsets_db_data/registry.py @@ -4,6 +4,8 @@ 'acr': 'american-carbon-registry', 'art': 'art-trees', 'gld': 'gold-standard', + 'ccb': 'cercarbono', + 'iso': 'isometric', } diff --git a/offsets_db_data/vcs.py b/offsets_db_data/vcs.py index 6fd1550..0b1e369 100644 --- a/offsets_db_data/vcs.py +++ b/offsets_db_data/vcs.py @@ -8,6 +8,7 @@ PROJECT_SCHEMA_UPATH, load_column_mapping, load_inverted_protocol_mapping, + load_protocol_mapping, load_registry_project_column_mapping, load_type_category_mapping, ) @@ -351,7 +352,6 @@ def process_vcs_projects( *, credits: pd.DataFrame, registry_name: str = 'verra', - download_type: str = 'projects', ) -> pd.DataFrame: """ Process Verra projects data, including renaming, adding, and validating columns, and merging with credits data. @@ -381,6 +381,7 @@ def process_vcs_projects( inverted_column_mapping = {value: key for key, value in registry_project_column_mapping.items()} type_category_mapping = load_type_category_mapping() inverted_protocol_mapping = load_inverted_protocol_mapping() + protocol_mapping = load_protocol_mapping() data = ( df.rename(columns=inverted_column_mapping) @@ -395,8 +396,9 @@ def process_vcs_projects( override_data_path=BERKELEY_PROJECT_TYPE_UPATH, source_str='berkeley' ) .add_category( - type_category_mapping=type_category_mapping - ) # must come after types; type -> category + type_category_mapping=type_category_mapping, + protocol_mapping=protocol_mapping, + ) # category derived from protocol; project_type is independent .add_is_compliance_flag() .add_vcs_compliance_projects() .map_project_type_to_display_name(type_category_mapping=type_category_mapping) diff --git a/tests/conftest.py b/tests/conftest.py index 6941b71..6b1f21d 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,12 +1,14 @@ """Shared test fixtures for offsets-db-data tests. Sample data in tests/data/ was extracted from: - s3://carbonplan-offsets-db/raw/2026-04-14/ + s3://carbonplan-offsets-db/raw/2026-04-14/ (verra, acr, art, car, gld, arb) + s3://carbonplan-scratch/offsets-db-test/raw/2026-04-28/ (cercarbono, isometric) To refresh samples, run: python tests/scripts/refresh_sample_data.py """ +import ast from pathlib import Path import pandas as pd @@ -16,7 +18,9 @@ # S3 coordinates that match the local sample data RAW_DATE = '2026-04-14' +SCRATCH_DATE = '2026-05-04' RAW_BUCKET = 's3://carbonplan-offsets-db/raw' +SCRATCH_BUCKET = 's3://carbonplan-scratch/offsets-db-test/raw' def pytest_collection_modifyitems(items): @@ -34,11 +38,21 @@ def date() -> str: return RAW_DATE +@pytest.fixture +def scratch_date() -> str: + return SCRATCH_DATE + + @pytest.fixture def bucket() -> str: return RAW_BUCKET +@pytest.fixture +def scratch_bucket() -> str: + return SCRATCH_BUCKET + + # ── Raw data fixtures (load from local sample files) ────────────────────────── # These fixtures load small CSV samples extracted from S3. Use them as the base # for unit tests so tests don't need S3 access. @@ -134,6 +148,45 @@ def raw_gld_retirements() -> pd.DataFrame: return pd.read_csv(DATA_DIR / 'gold-standard' / 'retirements.csv') +@pytest.fixture +def raw_cercarbono_projects() -> pd.DataFrame: + df = pd.read_csv(DATA_DIR / 'cercarbono' / 'projects.csv') + # 'locations' is stored as a stringified Python list of dicts in the CSV + df['locations'] = df['locations'].map(ast.literal_eval) + return df + + +@pytest.fixture +def raw_cercarbono_issuances() -> pd.DataFrame: + return pd.read_csv(DATA_DIR / 'cercarbono' / 'issuances.csv') + + +@pytest.fixture +def raw_cercarbono_retirements() -> pd.DataFrame: + return pd.read_csv(DATA_DIR / 'cercarbono' / 'retirements.csv') + + +@pytest.fixture +def raw_isometric_projects() -> pd.DataFrame: + return pd.read_csv(DATA_DIR / 'isometric' / 'projects.csv') + + +@pytest.fixture +def raw_isometric_issuances() -> pd.DataFrame: + return pd.read_csv(DATA_DIR / 'isometric' / 'issuances.csv') + + +@pytest.fixture +def raw_isometric_retirements() -> pd.DataFrame: + return pd.read_csv(DATA_DIR / 'isometric' / 'retirements.csv') + + +@pytest.fixture +def isometric_prj_id_to_short_code(raw_isometric_projects) -> dict: + """Map Isometric project UUID → short code, used by process_isometric_credits.""" + return dict(zip(raw_isometric_projects['id'], raw_isometric_projects['short_code'])) + + # ── Processed fixtures ───────────────────────────────────────────────────────── # These derive processed DataFrames from the raw fixtures above. # Import side-effects register all pandas_flavor methods on pd.DataFrame. diff --git a/tests/data/cercarbono/issuances.csv b/tests/data/cercarbono/issuances.csv new file mode 100644 index 0000000..1a71060 --- /dev/null +++ b/tests/data/cercarbono/issuances.csv @@ -0,0 +1,101 @@ +verification,serial,issued_quantity,issuance_date,year,is_buffer,vintage_of_credits,global_goals,elegible +1,CDC_1_1_1_321_14_1,62740,2019-03-07T18:33:46.000Z,2015,False,2010-01-01 / 2018-09-30,[],"[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_1_1_1_321_14_1_2008,1283,2020-01-23T21:05:02.000Z,2008,False,2008-01-16 / 2008-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_1_1_1_321_14_1_2009,4971,2020-01-23T21:06:15.000Z,2009,False,2009-01-01 / 2009-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_1_1_1_321_14_1_2008_BF,226,2023-04-14T15:56:47.000Z,2008,True,2008-01-16 / 2008-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_1_1_1_321_14_1_2009_BF,877,2023-04-14T15:56:48.000Z,2009,True,2009-01-01 / 2009-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_1_1_1_321_14_1_BF,11072,2023-04-14T15:56:49.000Z,2015,True,2010-01-01 / 2018-09-30,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_2_1_1_321_14_1,9516,2019-04-17T13:47:02.000Z,2012,False,2011-08-22 / 2018-12-28,[],"[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_2_1_1_321_14_1_BF,1679,2023-04-14T15:56:50.000Z,2012,True,2011-08-22 / 2018-12-28,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_3_1_1_321_14_1,26318,2019-04-17T13:56:56.000Z,2011,False,2010-01-27 / 2018-12-19,[],"[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_3_1_1_321_14_1_BF,4644,2023-04-14T15:56:51.000Z,2011,True,2010-01-27 / 2018-12-19,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_4_1_1_321_14_1,63593,2019-04-17T14:09:53.000Z,2009,False,2008-02-01 / 2018-10-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_4_1_1_321_14_1_BF,11223,2023-04-14T15:56:52.000Z,2009,True,2008-02-01 / 2018-10-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_2018,609,2023-05-03T13:58:33.000Z,2018,False,2018-11-16 / 2018-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_2019,4950,2023-05-03T13:58:33.000Z,2019,False,2019-01-01 / 2019-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_2020,4964,2023-05-03T13:58:33.000Z,2020,False,2020-01-01 / 2020-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_2021,4950,2023-05-03T13:58:33.000Z,2021,False,2021-01-01 / 2021-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_2022,3552,2023-05-03T13:58:33.000Z,2022,False,2022-01-01 / 2022-09-19,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2018,107,2023-05-03T13:58:33.000Z,2018,True,2018-11-16 / 2018-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2019,874,2023-05-03T13:58:33.000Z,2019,True,2019-01-01 / 2019-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2020,875,2023-05-03T13:58:33.000Z,2020,True,2020-01-01 / 2020-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2021,874,2023-05-03T13:58:33.000Z,2021,True,2021-01-01 / 2021-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2022,628,2023-05-03T13:58:33.000Z,2022,True,2022-01-01 / 2022-09-19,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_5_1_1_321_14_1,15245,2019-04-17T14:19:13.000Z,2012,False,2011-03-15 / 2018-12-19,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_5_1_1_321_14_1_BF,2690,2023-04-14T15:56:53.000Z,2012,True,2011-03-15 / 2018-12-19,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_2018,1931,2023-05-02T11:06:07.000Z,2018,False,2018-10-17 / 2018-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_2019,9247,2023-05-02T11:06:07.000Z,2019,False,2019-01-01 / 2019-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_2020,9274,2023-05-02T11:06:07.000Z,2020,False,2020-01-01 / 2020-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_2021,9247,2023-05-02T11:06:07.000Z,2021,False,2021-01-01 / 2021-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_2022,6511,2023-05-02T11:06:07.000Z,2022,False,2022-01-01 / 2022-09-14,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2018,335,2023-05-02T11:06:07.000Z,2018,True,2018-10-17 / 2018-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2019,1634,2023-05-02T11:06:07.000Z,2019,True,2019-01-01 / 2019-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2020,1636,2023-05-02T11:06:07.000Z,2020,True,2020-01-01 / 2020-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2021,1634,2023-05-02T11:06:07.000Z,2021,True,2021-01-01 / 2021-12-31,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2022,1151,2023-05-02T11:06:07.000Z,2022,True,2022-01-01 / 2022-09-14,"[{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}]","[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_7_1_1_321_14_CO_1_1,340756,2019-11-08T17:49:15.000Z,2010,False,2010-01-01 / 2018-08-31,[],"[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]" 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compensation', 'code': 'CV'}]" +1,CDC_7_1_1_321_14_CO_1_1_BF,60256,2023-04-14T15:56:54.000Z,2010,True,2010-01-01 / 2018-08-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_7_3_1_323_14_CO_1_2_2018_BF,1478,2023-04-14T15:56:55.000Z,2018,True,2018-09-09 / 2018-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_7_3_1_323_14_CO_1_2_2019_BF,5084,2023-04-14T15:56:56.000Z,2019,True,2019-01-01 / 2019-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_7_3_1_323_14_CO_1_2_2020_BF,5098,2023-04-14T15:56:57.000Z,2020,True,2020-01-01 / 2020-12-31,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +2,CDC_7_3_1_323_14_CO_1_2_2021_BF,420,2023-04-14T15:56:58.000Z,2021,True,2021-01-01 / 2021-02-07,[],"[{'description': 'Voluntary compensation', 'code': 'CV'}]" +1,CDC_8_1_1_321_14_CO_1_1,897181,2019-11-06T20:40:33.000Z,2014,False,2010-12-16 / 2018-11-30,[],"[{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, 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Nuevo,,Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V1.1,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Certified,"[{'city': 'María La Baja', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 9.98229136159238, 'longitude': -75.30202371874329}}]","[{'verification': 1, 'serial': 'CDC_3_1_1_321_14_1', 'issued_quantity': 26318, 'issuance_date': '2019-04-17T13:56:56.000Z', 'year': 2011, 'is_buffer': False, 'vintage_of_credits': '2010-01-27 / 2018-12-19', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_3_1_1_321_14_1_BF', 'issued_quantity': 4644, 'issuance_date': '2023-04-14T15:56:51.000Z', 'year': 2011, 'is_buffer': True, 'vintage_of_credits': '2010-01-27 / 2018-12-19', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 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'2023-05-03T13:58:33.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-11-16 / 2018-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_4_1_1_321_14_R1_XX_CO_1_2_2019', 'issued_quantity': 4950, 'issuance_date': '2023-05-03T13:58:33.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_4_1_1_321_14_R1_XX_CO_1_2_2020', 'issued_quantity': 4964, 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'issuance_date': '2023-05-03T13:58:33.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2020', 'issued_quantity': 875, 'issuance_date': '2023-05-03T13:58:33.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2021', 'issued_quantity': 874, 'issuance_date': '2023-05-03T13:58:33.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_4_1_1_321_14_R1_XX_CO_1_2_BFC_2022', 'issued_quantity': 628, 'issuance_date': '2023-05-03T13:58:33.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-01-01 / 2022-09-19', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",0.0 +5,CDC-5,True,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,ICONTEC,ICONTEC,Carbon offsets,Carbono La Puya y San Lorenzo,Establecer 175.47 hectáreas de plantaciones forestales comerciales con Tectona grandis en el municipio de Los Córdobas (Córdoba),Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}, {'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",ES-I-CC-002,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Certified,"[{'city': 'Los Córdobas', 'country': 'Colombia', 'region': 'Cordoba', 'data_map': {'latitude': 8.89629398607484, 'longitude': -76.35478733837472}}, {'city': 'Los Córdobas', 'country': 'Colombia', 'region': 'Cordoba', 'data_map': {'latitude': 8.89485604647631, 'longitude': -76.35484795495302}}]","[{'verification': 1, 'serial': 'CDC_5_1_1_321_14_1', 'issued_quantity': 15245, 'issuance_date': '2019-04-17T14:19:13.000Z', 'year': 2012, 'is_buffer': False, 'vintage_of_credits': '2011-03-15 / 2018-12-19', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': 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{'verification': 2, 'serial': 'CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2020', 'issued_quantity': 1636, 'issuance_date': '2023-05-02T11:06:07.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2021', 'issued_quantity': 1634, 'issuance_date': '2023-05-02T11:06:07.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_5_1_1_321_14_R1_XX_CO_1_2_BFC_2022', 'issued_quantity': 1151, 'issuance_date': '2023-05-02T11:06:07.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-01-01 / 2022-09-14', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",3195.0 +6,CDC-6,True,Pruebas 1,ECOxC_1449752804_80,Pruebas 1,ECOxC_1449752804_80,,,Carbon offsets,-,,Cercarbono,[],Not defined,Not defined,Not assigned,"[{'city': 'Medellín', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.197478237500464, 'longitude': -75.57339584379613}}]",[], +7,CDC-7,True,South Pole Carbon Asset Management,ECOxC_44804100_9,South Pole Carbon Asset Management,ECOxC_44804100_9,Tüv Süd America Inc - Servicios Ruby Canyon Enviro,Tüv Süd America Inc - Servicios Ruby Canyon Environmental,Carbon offsets,Reforestación Comercial en Meta,"The forestry project for climate change mitigation, Reforestación Comercial en Meta, brings together different forest plantation owners. Its main objective is to reduce greenhouse gas (GHG) emissions through carbon sequestration by forestry plantations in the department of Meta. It has a duration of twenty years and covers a total area of 2,234 hectares (ha), of which 2,015.5 ha correspond to plantations established between 2009-2017 and 218.7 ha to plantations that are currently in the process of establishment. Of the total planted area, 575.2 ha are P. caribaea, 665.3 ha are A. mangium and 775.0 ha are E. pellita.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V2.1,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Certified,"[{'city': 'Mapiripán', 'country': 'Colombia', 'region': 'Meta', 'data_map': {'latitude': 2.8926040734220257, 'longitude': -72.13477449287227}}, {'city': 'Ayapel', 'country': 'Colombia', 'region': 'Cordoba', 'data_map': {'latitude': 2.8926040734220257, 'longitude': -72.13477449287227}}]","[{'verification': 1, 'serial': 'CDC_7_1_1_321_14_CO_1_1', 'issued_quantity': 340756, 'issuance_date': '2019-11-08T17:49:15.000Z', 'year': 2010, 'is_buffer': False, 'vintage_of_credits': '2010-01-01 / 2018-08-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_7_1_1_321_14_CO_1_1_2009', 'issued_quantity': 694, 'issuance_date': '2020-01-09T11:29:52.000Z', 'year': 2009, 'is_buffer': False, 'vintage_of_credits': '2009-08-01 / 2009-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2018', 'issued_quantity': 8376, 'issuance_date': '2022-03-23T12:20:15.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-09-09 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2019', 'issued_quantity': 28813, 'issuance_date': '2022-03-23T12:20:15.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2020', 'issued_quantity': 28892, 'issuance_date': '2022-03-23T12:20:15.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2021', 'issued_quantity': 2383, 'issuance_date': '2022-03-23T12:20:15.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-02-07', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_7_1_1_321_14_CO_1_1_BF', 'issued_quantity': 60256, 'issuance_date': '2023-04-14T15:56:54.000Z', 'year': 2010, 'is_buffer': True, 'vintage_of_credits': '2010-01-01 / 2018-08-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2018_BF', 'issued_quantity': 1478, 'issuance_date': '2023-04-14T15:56:55.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-09-09 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2019_BF', 'issued_quantity': 5084, 'issuance_date': '2023-04-14T15:56:56.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2020_BF', 'issued_quantity': 5098, 'issuance_date': '2023-04-14T15:56:57.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_7_3_1_323_14_CO_1_2_2021_BF', 'issued_quantity': 420, 'issuance_date': '2023-04-14T15:56:58.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-02-07', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",27454.0 +8,CDC-8,True,Forest First Colombia S.A.S.,ECOxC_44804100_9,South Pole Carbon Asset Management,ECOxC_44804100_9,ICONTEC,ICONTEC,Carbon offsets,Proyecto forestal de mitigación de cambio climático “Forestal de La Orinoquía”,"The climate change forest project named ""Forestal de la Orinoquia"" is a commercial reforestation project which produces wood chips to generate energy. It has a total planting area of ​​more than 9,000 ha, established in dense forest plantations of the species Acacia mangium and Eucalyptus pellita in the municipalities of Puerto Carreño and La Primavera, in the State of Vichada. The project implements appropriate global business practices in all its operations, therefore, it is committed to obtaining Forest Stewardship Council certification for the products it will market. Operationally, the project management verifies that all the activities carried out are in accordance with the principles of social and environmental responsibility. All operational activities are managed in accordance with local, national and international laws and regulations.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC 3.1,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Certified,"[{'city': 'Puerto Carreño', 'country': 'Colombia', 'region': 'Vichada', 'data_map': {'latitude': 6.188514579773909, 'longitude': -67.48209172867874}}, {'city': 'Puerto Carreño', 'country': 'Colombia', 'region': 'Vichada', 'data_map': {'latitude': 6.188514579773909, 'longitude': -67.48209172867874}}]","[{'verification': 1, 'serial': 'CDC_8_1_1_321_14_CO_1_1', 'issued_quantity': 897181, 'issuance_date': '2019-11-06T20:40:33.000Z', 'year': 2014, 'is_buffer': False, 'vintage_of_credits': '2010-12-16 / 2018-11-30', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_2018', 'issued_quantity': 4305, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-12-05 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_2019', 'issued_quantity': 28291, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_2020', 'issued_quantity': 28369, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_2021', 'issued_quantity': 25251, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-11-23', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_BFC_2018', 'issued_quantity': 760, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-12-05 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_BFC_2019', 'issued_quantity': 4993, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_BFC_2020', 'issued_quantity': 5006, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_8_1_1_321_14_R1_XA_CO_1_2_BFC_2021', 'issued_quantity': 4456, 'issuance_date': '2023-01-13T09:37:25.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-11-23', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_8_1_1_321_14_CO_1_1_BF', 'issued_quantity': 158326, 'issuance_date': '2023-04-14T15:56:59.000Z', 'year': 2014, 'is_buffer': True, 'vintage_of_credits': '2010-12-16 / 2018-11-30', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",0.0 +9,CDC-9,True,Pruebas 1,ECOxC_1449752804_80,Pruebas 1,ECOxC_1449752804_80,,,Carbon offsets,-,,Cercarbono,[],Not defined,Not defined,Not assigned,"[{'city': 'Medellín', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.197478237500464, 'longitude': -75.57339584379613}}]",[], +10,CDC-10,True,Reforestadora Caracolí S.A.S.,ECOxC_1152578494_117,Forestry Consulting Group S.A.S.,,ICONTEC,ICONTEC,Carbon offsets,Bonos de Carbono Caracoli,"On September 29, 2009, the company Reforestadora Caracolí S.A.S was founded as a response to the private initiative of a group of investors interested in sustainable agro-industrial projects with high social and environmental impact. +Within the analysis of the global problem of global warming and the growing demand for wood products from commercial plantations, it was decided to start a commercial Teak (Tectona grandis) forest plantation project in 2010. Estimating a planting of 100 ha per year and a final scope of the project of 2,000 ha of this species for the 20th year of operations, looking for a project that develops forestry activity in perpetuity and can guarantee stable jobs and a greater social impact.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}, {'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC 3.1,"CCB - M/UT/F-A01: Methodology To Implement GHG Removal Projects Through Reforestation, Forest Restoration and the Establishment of Woody Crops",Certified,"[{'city': 'Arroyohondo', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'San Juan Nepomuceno', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'Arroyohondo', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'San Juan Nepomuceno', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'San Juan Nepomuceno', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'Arroyohondo', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'Arroyohondo', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 10.25436489266598, 'longitude': -75.01905591103666}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 9.951794820825935, 'longitude': -75.0800541769264}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 9.951160775931795, 'longitude': -75.08365906584241}}]","[{'verification': 3, 'serial': 'CDC_10_1_1_321_14_CO_1_3', 'issued_quantity': 25600, 'issuance_date': '2019-12-26T07:32:49.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2017-12-07 / 2018-08-25', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_10_1_1_321_14_CO_1_3_2018', 'issued_quantity': 9505, 'issuance_date': '2020-11-03T15:02:54.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-08-26 / 2018-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and 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compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_10_1_1_321_14_CO_1_3_2019_BF', 'issued_quantity': 4613, 'issuance_date': '2023-04-17T14:09:10.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-11-04', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 5, 'serial': 'CDC_10_1_1_321_14_CO_1_5_2019_BF', 'issued_quantity': 700, 'issuance_date': '2023-04-17T14:09:11.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-11-05 / 2019-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 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'2019-12-23T16:42:55.000Z', 'year': 2016, 'is_buffer': False, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2017', 'issued_quantity': 8343, 'issuance_date': '2019-12-23T16:42:55.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2018', 'issued_quantity': 5313, 'issuance_date': '2019-12-23T16:42:55.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2019', 'issued_quantity': 1890, 'issuance_date': '2019-12-23T16:42:55.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-06-30', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2009_BF', 'issued_quantity': 842, 'issuance_date': '2023-04-14T16:03:59.000Z', 'year': 2009, 'is_buffer': True, 'vintage_of_credits': '2009-01-05 / 2009-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2010_BF', 'issued_quantity': 1473, 'issuance_date': '2023-04-14T16:04:00.000Z', 'year': 2010, 'is_buffer': True, 'vintage_of_credits': '2010-01-01 / 2010-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2011_BF', 'issued_quantity': 1473, 'issuance_date': '2023-04-14T16:04:01.000Z', 'year': 2011, 'is_buffer': True, 'vintage_of_credits': '2011-01-01 / 2011-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2012_BF', 'issued_quantity': 1476, 'issuance_date': '2023-04-14T16:04:02.000Z', 'year': 2012, 'is_buffer': True, 'vintage_of_credits': '2012-01-01 / 2012-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2013_BF', 'issued_quantity': 1472, 'issuance_date': '2023-04-14T16:04:03.000Z', 'year': 2013, 'is_buffer': True, 'vintage_of_credits': '2013-01-01 / 2013-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2014_BF', 'issued_quantity': 1472, 'issuance_date': '2023-04-14T16:04:04.000Z', 'year': 2014, 'is_buffer': True, 'vintage_of_credits': '2014-01-01 / 2014-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2015_BF', 'issued_quantity': 1472, 'issuance_date': '2023-04-14T16:04:05.000Z', 'year': 2015, 'is_buffer': True, 'vintage_of_credits': '2015-01-01 / 2015-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2016_BF', 'issued_quantity': 1476, 'issuance_date': '2023-04-14T16:04:06.000Z', 'year': 2016, 'is_buffer': True, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2017_BF', 'issued_quantity': 1472, 'issuance_date': '2023-04-14T16:04:07.000Z', 'year': 2017, 'is_buffer': True, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2018_BF', 'issued_quantity': 938, 'issuance_date': '2023-04-14T16:04:08.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_13_2_1_322_14_CO_1_1_2019_BF', 'issued_quantity': 333, 'issuance_date': '2023-04-14T16:04:08.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-06-30', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",0.0 +14,CDC-14,True,DISTRIPRESS SAS,ECOxC_44804100_9,South Pole Carbon Asset Management,ECOxC_44804100_9,"AENOR CONFIA, S.A.U",ICONTEC,Carbon offsets,Recuperación de suelos degradados con el uso de incentivos financieros en el centro y oriente de Colombia,"The Recovery of Degraded Soils Project with the use of financial incentives in central and eastern Colombia groups 34 farms with forest plantations located in the departments of Antioquia, Caldas, Risaralda, Meta and Vichada. + +The objective of the project is the removal of GHG emissions through carbon capture in mixed forest plantations. In addition to reducing greenhouse gases (GHG), the project boosts economic activity with sustainable forestry activities in areas of weak economic development. + +The area covered is 2,822.7 hectares (ha), established between 2009-2015 and has a duration of 12 years from the establishment of the plantation in June 2009 until 2021. The species that are part of the project are: Acacia mangium, Pinus patula, Eucalyptus pellita, Pinus caribeae, Eucalyptus grandis, Pinus maximinoi, Cupressus lusitanica and Hevea brasiliensis.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 1729, 'sizeUnits': 'ha'}]",PROTOCOL CVCC 3.1,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Finished,"[{'city': 'Puerto López', 'country': 'Colombia', 'region': 'Meta', 'data_map': {'latitude': 4.086560026447761, 'longitude': -72.95342957780505}}, {'city': 'Puerto López', 'country': 'Colombia', 'region': 'Meta', 'data_map': {'latitude': 4.091381783627126, 'longitude': -72.96570196435145}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.0864663269858, 'longitude': -72.96773309478216}}]","[{'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2009', 'issued_quantity': 15, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2009, 'is_buffer': False, 'vintage_of_credits': '2009-06-09 / 2009-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2010', 'issued_quantity': 612, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2010, 'is_buffer': False, 'vintage_of_credits': '2010-01-01 / 2010-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2011', 'issued_quantity': 3241, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2011, 'is_buffer': False, 'vintage_of_credits': '2011-01-01 / 2011-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2012', 'issued_quantity': 7469, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2012, 'is_buffer': False, 'vintage_of_credits': '2012-01-01 / 2012-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2013', 'issued_quantity': 15482, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2013, 'is_buffer': False, 'vintage_of_credits': '2013-01-01 / 2013-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2014', 'issued_quantity': 26268, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2014, 'is_buffer': False, 'vintage_of_credits': '2014-01-01 / 2014-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2015', 'issued_quantity': 37735, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2015, 'is_buffer': False, 'vintage_of_credits': '2015-01-01 / 2015-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2016', 'issued_quantity': 49417, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2016, 'is_buffer': False, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_14_2_1_322_14_CO_1_1_2017', 'issued_quantity': 59813, 'issuance_date': '2019-12-24T18:16:15.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [], 'elegible': [{'description': 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'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_14_2_1_321_14_R1_XX_CO_1_2_BFC_2020', 'issued_quantity': 5224, 'issuance_date': '2023-06-26T18:24:35.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_14_2_1_321_14_R1_XX_CO_1_2_BFC_2021', 'issued_quantity': 5210, 'issuance_date': '2023-06-26T18:24:35.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_14_2_1_321_14_R1_XX_CO_1_2_BFC_2022', 'issued_quantity': 1142, 'issuance_date': '2023-06-26T18:24:35.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-01-01 / 2022-04-07', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",76677.0 +15,CDC-15,True,CUSTODIAR SAS,ECOxC_44804100_9,South Pole Carbon Asset Management,ECOxC_44804100_9,Tüv Süd America Inc - Servicios Ruby Canyon Enviro,Tüv Süd America Inc - Servicios Ruby Canyon Environmental,Carbon offsets,Bonos Verdes Colombia Grupo Custodiar S.A.,"The Colombia Green Bonds Compensation Program Grupo Custodiar S.A. is a forestry project located in the departments of Córdoba and Antioquia, Colombia. The main objective is to reduce greenhouse gas (GHG) emissions by capturing carbon from forest plantations over a 20-year period (2008 to 2028). The project includes a total area of 3,895.16 hectares (ha), of which 530.62 ha are conserved in natural forest, 1,864.53 ha in dense forest plantations and silvopastoral systems of the species Acacia mangium Willd, Eucalyptus pellita F. Muell and Eucalyptus urograndis. +",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V2.1,CDM - AR-ACM0003: Afforestation and reforestation of lands except wetlands,Certified,"[{'city': 'Ayapel', 'country': 'Colombia', 'region': 'Cordoba', 'data_map': {'latitude': 8.315065983660675, 'longitude': -75.14057441666642}}, {'city': 'Ayapel', 'country': 'Colombia', 'region': 'Cordoba', 'data_map': {'latitude': 8.315065983660675, 'longitude': -75.14057441666642}}]","[{'verification': 1, 'serial': 'IC_15_1_1_321_14_CO_1_1_2008', 'issued_quantity': 2051, 'issuance_date': '2020-02-26T16:23:56.000Z', 'year': 2008, 'is_buffer': False, 'vintage_of_credits': '2008-08-30 / 2008-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'IC_15_1_1_321_14_CO_1_1_2009', 'issued_quantity': 13960, 'issuance_date': '2020-02-26T16:23:56.000Z', 'year': 2009, 'is_buffer': False, 'vintage_of_credits': '2009-01-01 / 2009-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_15_2_1_322_14_CO_1_2_2018', 'issued_quantity': 442610, 'issuance_date': '2020-03-24T17:03:58.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_15_2_1_322_14_CO_1_2_2019', 'issued_quantity': 152104, 'issuance_date': '2020-03-24T17:03:58.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-05-07', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2018', 'issued_quantity': 3786, 'issuance_date': '2022-04-11T12:41:42.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-05-16 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2019', 'issued_quantity': 57693, 'issuance_date': '2022-04-11T12:41:42.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2020', 'issued_quantity': 65484, 'issuance_date': '2022-04-11T12:41:42.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-01 / 2020-11-30', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_15_2_1_322_14_CO_1_2_2018_BF', 'issued_quantity': 78108, 'issuance_date': '2023-04-14T16:04:20.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_15_2_1_322_14_CO_1_2_2019_BF', 'issued_quantity': 26842, 'issuance_date': '2023-04-14T16:04:21.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-05-07', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2018_BF', 'issued_quantity': 669, 'issuance_date': '2023-04-14T16:04:22.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-05-16 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2019_BF', 'issued_quantity': 10186, 'issuance_date': '2023-04-14T16:04:23.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_15_3_1_323_14_CO_1_3_2020_BF', 'issued_quantity': 11562, 'issuance_date': '2023-04-14T16:04:24.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-11-30', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",48774.0 +16,CDC-16,True,EPM,ECOxC_1887346524_105,EPM,ECOxC_1887346524_105,ICONTEC,ICONTEC,Carbon offsets,Proyecto hidroeléctrico Porce III,"Porce III hydroelectric project is located in the jurisdiction of the municipalities of Amalfi, Anorí, Gómez Plata and Guadalupe (northeast, department of Antioquia), 147 km from the city of Medellín, takes advantage of the waters of the Porce River that is a tributary of the Nechí River and this in turn of the Cauca River. The purpose is generation of energy from a renewable source and its supply to the National Interconnected System. In turn, it reduces CO2 emissions and contributes to regional development. The Porce III hydroelectric plant has a current installed capacity of 700 MW and an operational useful life of 50 years.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 34611279, 'sizeUnits': 'MWh'}, {'id': 1, 'description': 'Energy industries', 'projectSize': 34611279, 'sizeUnits': 'MWh'}]",PROTOCOL CVCC V1.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Verification,"[{'city': 'Guadalupe', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.815070664478856, 'longitude': -75.24037062434671}}, {'city': 'Guadalupe', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.815070664478856, 'longitude': -75.24037062434671}}, {'city': 'Guadalupe', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.815070664478856, 'longitude': -75.24037062434671}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 6.815070664478856, 'longitude': -75.24037062434671}}]","[{'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2011', 'issued_quantity': 524423, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2011, 'is_buffer': False, 'vintage_of_credits': '2011-01-01 / 2011-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2012', 'issued_quantity': 1329075, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2012, 'is_buffer': False, 'vintage_of_credits': '2012-01-01 / 2012-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2013', 'issued_quantity': 1132737, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2013, 'is_buffer': False, 'vintage_of_credits': '2013-01-01 / 2013-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2014', 'issued_quantity': 1169165, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2014, 'is_buffer': False, 'vintage_of_credits': '2014-01-01 / 2014-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2015', 'issued_quantity': 1006599, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2015, 'is_buffer': False, 'vintage_of_credits': '2015-01-01 / 2015-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2016', 'issued_quantity': 1038409, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2016, 'is_buffer': False, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2017', 'issued_quantity': 1246901, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_16_3_5_323_1_CO_1_1_2018', 'issued_quantity': 1328608, 'issuance_date': '2019-12-20T11:27:32.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_16_3_5_321_1_CO_1_2_2019', 'issued_quantity': 1191087, 'issuance_date': '2022-07-06T12:50:01.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_16_3_5_321_1_CO_1_2_2020', 'issued_quantity': 1126661, 'issuance_date': '2022-07-06T12:50:01.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-01 / 2020-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_16_1_5_321_1_R6_XX_CO_1_3_2021', 'issued_quantity': 1555912, 'issuance_date': '2023-09-15T11:23:27.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",1769674.0 +17,CDC-17,True,PRO ORIENTE SAS,ECOxC_1152578494_117,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,ICONTEC,ICONTEC,Carbon offsets,CARBONO GRESCO2,"The CARBONO GRESCO2 climate change mitigation forestry project brings together the companies Pro-Oriente S.A.S., Maderas de Oriente S.A., Agroindustrias La Florida S.A. and Global de Inversiones S.C.A. The project has a total area of 1,990 hectares of forest plantations in eligible areas located in the municipalities of Pensilvania, Manzanares and Villamaría, in the department of Caldas. + +The main objective of the project is to generate employment in its area of influence through the establishment and management of commercial forest plantations with the species Pinus patula, Pinus maximinoi and Pinus tecunumanii, through the production of sawmill wood for sale in nearby transformation centers.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}, {'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",ES-I-CC-002,"CCB - M/UT/F-A01: Methodology To Implement GHG Removal Projects Through Reforestation, Forest Restoration and the Establishment of Woody Crops",Certified,"[{'city': 'Pensilvania', 'country': 'Colombia', 'region': 'Caldas', 'data_map': {'latitude': 5.383989935047154, 'longitude': -75.1612119777699}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 5.383989935047154, 'longitude': -75.1612119777699}}]","[{'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2010', 'issued_quantity': 43, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2010, 'is_buffer': False, 'vintage_of_credits': '2010-01-01 / 2010-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2011', 'issued_quantity': 1130, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2011, 'is_buffer': False, 'vintage_of_credits': '2011-01-01 / 2011-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2012', 'issued_quantity': 3603, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2012, 'is_buffer': False, 'vintage_of_credits': '2012-01-01 / 2012-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2013', 'issued_quantity': 8542, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2013, 'is_buffer': False, 'vintage_of_credits': '2013-01-01 / 2013-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2014', 'issued_quantity': 15616, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2014, 'is_buffer': False, 'vintage_of_credits': '2014-01-01 / 2014-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2015', 'issued_quantity': 22545, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2015, 'is_buffer': False, 'vintage_of_credits': '2015-01-01 / 2015-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2016', 'issued_quantity': 27835, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2016, 'is_buffer': False, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2017', 'issued_quantity': 30613, 'issuance_date': '2019-12-28T15:02:03.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [], 'elegible': 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'is_buffer': True, 'vintage_of_credits': '2010-01-01 / 2010-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2011_BF', 'issued_quantity': 199, 'issuance_date': '2023-04-14T16:04:25.000Z', 'year': 2011, 'is_buffer': True, 'vintage_of_credits': '2011-01-01 / 2011-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2012_BF', 'issued_quantity': 636, 'issuance_date': '2023-04-14T16:04:26.000Z', 'year': 2012, 'is_buffer': True, 'vintage_of_credits': '2012-01-01 / 2012-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_R_17_1_1_321_14_CO_1_1_2013_BF', 'issued_quantity': 1507, 'issuance_date': '2023-04-14T16:04:27.000Z', 'year': 2013, 'is_buffer': True, 'vintage_of_credits': '2013-01-01 / 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'serial': 'CDC_30_1_1_321_14_CO_1_1_2013_BF', 'issued_quantity': 1909, 'issuance_date': '2023-04-14T16:06:18.000Z', 'year': 2013, 'is_buffer': True, 'vintage_of_credits': '2013-01-01 / 2013-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2014_BF', 'issued_quantity': 3462, 'issuance_date': '2023-04-14T16:06:19.000Z', 'year': 2014, 'is_buffer': True, 'vintage_of_credits': '2014-01-01 / 2014-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2015_BF', 'issued_quantity': 4224, 'issuance_date': '2023-04-14T16:06:20.000Z', 'year': 2015, 'is_buffer': True, 'vintage_of_credits': '2015-01-01 / 2015-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2016_BF', 'issued_quantity': 4340, 'issuance_date': '2023-04-14T16:06:21.000Z', 'year': 2016, 'is_buffer': True, 'vintage_of_credits': '2016-01-01 / 2016-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2017_BF', 'issued_quantity': 4138, 'issuance_date': '2023-04-14T16:06:22.000Z', 'year': 2017, 'is_buffer': True, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2018_BF', 'issued_quantity': 3813, 'issuance_date': '2023-04-14T16:06:23.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2019_BF', 'issued_quantity': 3461, 'issuance_date': '2023-04-14T16:06:24.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_30_1_1_321_14_CO_1_1_2020_BF', 'issued_quantity': 3122, 'issuance_date': '2023-04-14T16:06:25.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-01-01 / 2020-05-23', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_30_1_1_321_14_CO_1_2_2020_BF', 'issued_quantity': 1716, 'issuance_date': '2023-04-14T16:06:25.000Z', 'year': 2020, 'is_buffer': True, 'vintage_of_credits': '2020-05-24 / 2020-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_30_1_1_321_14_CO_1_2_2021_BF', 'issued_quantity': 2817, 'issuance_date': '2023-04-14T16:06:26.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_30_1_1_321_14_CO_1_2_2022_BF', 'issued_quantity': 424, 'issuance_date': '2023-04-14T16:06:27.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-01-01 / 2022-02-24', 'global_goals': [], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",6408.0 +31,CDC-31,True,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,ICONTEC,ICONTEC,Carbon offsets,Carbono Agroforestal La Argentina,"The Colombian commercial company ""Agroforestal la Argentina S.A.S"" is a simplified stock company (S.A.S) made up of 54 shareholders. The domicile of the company is the municipality of Medellin and it was founded in October 2009. The main corporate purpose of the company is the development of all kinds of reforestation, agricultural, livestock, ecotourism activities and all activities related to those mentioned. The farm is located in the municipality of Vegachí where Acacia mangium trees were planted with the purpose of supplying our sawmill, as well as third-party sawmills with timber products and derivatives of the species.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC 3.1,"NTC 6208 - Mitigation actions in the land use, change in land use and forestry sector at the rural level, incorporating social and biodiversity considerations",Certified,"[{'city': 'Vegachí', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.771259466544538, 'longitude': -74.79810728747017}}, {'city': 'Vegachí', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.771259466544538, 'longitude': -74.79810728747017}}, {'city': 'Vegachí', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.771259466544538, 'longitude': -74.79810728747017}}, {'city': 'Abejorral', 'country': 'Colombia', 'region': 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'issued_quantity': 1429, 'issuance_date': '2023-04-14T16:06:33.000Z', 'year': 2021, 'is_buffer': True, 'vintage_of_credits': '2021-01-01 / 2021-12-31', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_31_1_8_321_14_R1_XX_CO_1_3_BFC_2022', 'issued_quantity': 642, 'issuance_date': '2023-04-14T16:06:34.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-01-01 / 2022-12-06', 'global_goals': [{'code': 8, 'description': 'Economic growth'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}]",4090.0 +32,CDC-32,True,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,Forestry Consulting Group S.A.S.,ECOxC_1152578494_117,ICONTEC,ICONTEC,Carbon offsets,Programa de Compensaciones de Gases de Efecto Invernadero (GEI) – Reforestadora Cacerí S.A.,"Reforestadora Cacerí S.A. is a company committed to direct investment in the Colombian forestry sector, which seeks, through forestry and industrial production processes, in addition to an interesting and secure return for its shareholders, to constitute a solid base of progress for the surrounding community and to conserve and improve the environmental quality of the rural and natural areas of its influence; thus strengthening the growth of the Nation from the perspective of sustainable forest management under the principles and criteria of the Forest Stewardship Council –FSC–.",Cercarbono,"[{'id': 14, 'description': 'Land use (AFOLU)', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC 3.1,"CCB - M/UT/F-A01: Methodology To Implement GHG Removal Projects Through Reforestation, Forest Restoration and the Establishment of Woody Crops",Certified,"[{'city': 'Caucasia', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 7.9813331617818175, 'longitude': -75.19901545511183}}, {'city': 'Caucasia', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 7.9813331617818175, 'longitude': -75.19901545511183}}]","[{'verification': 2, 'serial': 'CDC_32_1_1_321_14_CO_1_2_2017', 'issued_quantity': 15626, 'issuance_date': '2020-08-27T16:25:23.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-07-01 / 2017-12-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_32_1_1_321_14_CO_1_2_2018', 'issued_quantity': 31252, 'issuance_date': '2020-08-27T16:25:23.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}, 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E.S.P.,ECOxC_2016465399_5,Global Consulting,ECOxC_2016465399_5,Tuv Nord,Tüv Süd America Inc - Servicios Ruby Canyon Environmental,Carbon offsets,Proyecto Hidroeléctrico El Quimbo,"La actividad de proyecto consiste en una nueva central de generación hidroeléctrica a pie de presa, conectada al Sistema Interconectado Nacional (SIN), la central se encuentra localizada al sur del Departamento del Huila entre las cordilleras Central y Oriental, sobre la cuenca del Río Magdalena, al sur del embalse Betania, en jurisdicción de los municipios de Garzón, Gigante, El Agrado, Paicol, Tesalia y Altamira, desde el Macizo Colombiano hasta la desembocadura del río Páez en el Magdalena, entre las coordenadas 1º 30’ y 2º 30’ de latitud norte y 76 º 35’ y 75º 35’ de longitud oeste, 69 km al sur de Neiva. El acceso a la zona se hace por la carretera pavimentada que de Neiva Conduce a Gigante y Garzón. + +El propósito del proyecto es la generación de energía eléctrica a partir de una fuente renovable, para su suministro total al Sistema Interconectado Nacional, contribuyendo así a la reducción de emisiones de CO2, como al desarrollo sostenible de la región y del país. + +Los equipos de generación eléctrica comprenden dos (2) turbinas tipo Francis de eje vertical, cada una con una potencia nominal de 186.3 MW y una potencia máxima de 206 MW, así como dos (2) generadores sincrónicos con una potencia nominal de 225 MVA a 13,800 Vca, con un factor de potencia de 0.9 cada uno. + +Para la ejecución del proyecto se contempló la formación de un embalse “Quimbo”, la presa que generó el embalse se localiza dentro del cañón que formó el río Magdalena en el filo rocoso de la Formación Gualanday Superior, conocido como el estrecho El Quimbo. Las obras principales también se ubican en inmediaciones de esta zona, a 1.3 km aguas arriba de la confluencia de los ríos Magdalena y Páez. + +La presa es de gravas con cara de concreto, ubicada sobre la cota 573 msnm, con altura de 151 m, cresta con longitud de 632 m a la cota de 724 msnm. + +El embalse tiene una longitud de 55 km al nivel máximo normal de operación (cota 720 msnm), un ancho máximo de 4 km y un ancho promedio de 1.4 km, un área de inundación de inundación del embalse es de 8,250 ha y un volumen útil de 2,601 hm3. Se ha estimado una generación media anual de 2,216 GWh/año. + +Las obras de aprovechamiento hidroeléctrico consisten en una preataguía, una ataguía, una contraataguía, túnel de desviación del río Magdalena, un vertedero entre la presa y el dique, túnel de conducción y casa de máquinas. + +Para el desarrollo del proyecto, EMGESA S.A. ESP. realizó entre otras, las siguientes contrataciones: + +1. Contratación de ingenierías y asesorías (INGETEC Ingeniería y Diseños S.A.), mediante contratos varios, Contrato No. 119, Contrato No. 74, Contrato No. 146, Contrato No. CEQ-355. +2. Contratación de la construcción de las obras civiles, mediante contrato No. CEQ-21. +3. Contratación de la fabricación, suministro y montaje de los equipos principales, mediante Contrato No. CEQ-70. + +El Ministerio de Ambiente, Vivienda y Desarrollo Territorial, mediante Resolución No. 899 del 15 de mayo de 2009, le otorgó a EMGESA S.A. ESP. la Licencia Ambiental del Proyecto Hidroeléctrico El Quimbo, la cual incluye la autorización de las concesiones de agua requeridas por el proyecto. +La Autoridad Nacional de Licencias Ambientales, ANLA (Mediante el Decreto Ley 3573 del 27 de septiembre de 2011) emite la Resolución No. 938 del 26 de junio de 2018, por la cual se modificó y tomo otras determinaciones con respecto a la licencia ambiental del proyecto. + +El proyecto inició su operación comercial el 16 de noviembre de 2015, según consta en los registros del sistema Paratec de la empresa XM S.A. ESP.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 373, 'sizeUnits': 'MW'}, {'id': 1, 'description': 'Energy industries', 'projectSize': 373, 'sizeUnits': 'MW'}]",PROTOCOL CVCC V2.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Certified,"[{'city': 'Altamira', 'country': 'Colombia', 'region': 'Huila', 'data_map': {'latitude': 2.063519375450481, 'longitude': -75.78797361712417}}, {'city': 'Garzón', 'country': 'Colombia', 'region': 'Huila', 'data_map': {'latitude': 2.063519375450481, 'longitude': -75.78797361712417}}, {'city': 'Gigante', 'country': 'Colombia', 'region': 'Huila', 'data_map': {'latitude': 2.063519375450481, 'longitude': -75.78797361712417}}, {'city': 'Agrado', 'country': 'Colombia', 'region': 'Huila', 'data_map': {'latitude': 2.063519375450481, 'longitude': -75.78797361712417}}, {'city': 'Paicol', 'country': 'Colombia', 'region': 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E.S.P.,ECOxC_243990169_104,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Tuv Nord,Tuv Nord,Carbon offsets,Proyecto Hidroeléctrico Guavio,,Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V2.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Cancelled,"[{'city': 'Ubalá', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.744019972929907, 'longitude': -73.53418839030685}}]",[],1846456.0 +36,CDC-36,True,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Tuv Nord,GHG Assurance Assessment Bureau S.A. de C.V.,Carbon offsets,Proyecto Hidroeléctrico Guavio Menor,"La actividad de proyecto propiedad de EMGESA S.A. ESP., consta de una central de generación hidroeléctrica de menor escala, la cual cuenta con 13 MW de capacidad instalada. La central hidroeléctrica aprovecha el embalse Guavio, suple la energía eléctrica para la operación de los equipos auxiliares de la Central Hidroeléctrica Guavio, y a su vez se conecta al Sistema Interconectado Nacional. +Los equipos principales de generación eléctrica comprenden dos (2) turbinas hidráulicas marca Sulzer España S.A., tipo Pelton de eje horizontal con una capacidad neta efectiva de 9.9 MW reconocida el operador del Sistema Interconectado Nacional (SIN) y administrador del Mercado de Energía Eléctrica Mayorista de Colombia, XM; dos (2) generadores de energía alterna del fabricante CADEMESA, Sabdell (España), con una potencia nominal máxima de 7,900 kVA con un factor de potencia de 0.8 cada uno. +El informe de las pruebas del Sistema de Medición Comercial (Fronteras comerciales) fue emitido por EMGESA SA ESP. con fecha del 20 al 22 de abril de 2016 resultado de la ejecución del Protocolo de Pruebas hecho a los generadores; la central hidroeléctrica Guavio Menor comenzó su operación comercial el 27 de abril de 2016. +La central se encuentra ubicada en dos frentes, el primer frente se ubica en la provincia del Guavio, cuya cabecera política administrativa es el municipio de Ubalá al oriente de la ciudad de Bogotá y se encuentra dentro de la hoya hidrográfica de río del mismo nombre, en el Departamento de Cundinamarca, sobre la cordillera Oriental, donde está localizada la presa y el embalse; en el segundo frente se encuentran la Central Subterránea, el Patio de conexiones y el Centro de Control, está ubicado en la inspección de policía de Mámbita, dependiente del municipio de Ubalá. +El embalse abarca los municipios de Ubalá, Gachalá, Gachetá, Gama y Junín; la subestación superficial se encuentra ubicada en el municipio de Ubalá, Cundinamarca. +Los componentes de infraestructura principales de la actividad de proyecto, los cuales corresponden a los elementos de la central hidroeléctrica Guavio, constan de: embalse, presa, rebosadero, túnel de carga, central subterránea, y dos (2) subestaciones, una superficial y otra subterránea. +- El embalse del Guavio tiene una capacidad de 1,047 Mm3 de capacidad de almacenamiento de agua, con una extensión de 1,344 ha. El aporte de agua proviene del Río Guavio, Farallones, Batatas y Chivor, estos dos últimos desviados al embalse por medio de túneles de 2,630 m y 2,190 m de largo. El área total de la cuenca aprovechada, incluida la de los ríos desviados es de 1,350 km2. +Se presenta una precipitación media entre 2,500 mm a 5,000 mm por año. El caudal que ingresa al embalse en promedio es de 72 m3/s anual, de los cuales 63 m3/s son del Río Guavio, 4 m3/s del Río Chivor y 5 m3/s del Río Batatas. +- La presa es de tipo enrocado con núcleo impermeable de arcilla, su altura máxima desde el nivel de fundación es de 250 m y una longitud de cresta de 390 m. En su género es la más alta de Sudamérica y la cuarta del Mundo después de Regún (355 m) y Nurek (300 m) localizadas en Rusia y Chicoasen (264 m) en México. +- El rebosadero tiene dimensiones en la estructura de control de 41 m de largo, 37 m de ancho y 35 m de altura; con 2 compuertas radiales de 38 m de diámetro, 14 m de altura y 10 m de ancho; la longitud de los dos túneles de descarga de los rebosaderos es de 506 y 470 m, con una capacidad total de evacuación de 4,200 m3/s. +- El conducto de carga comprende los túneles superior e inferior. El túnel superior conforma una conducción a presión que se encuentra a una profundidad media de 350 m con una longitud de 13,580 m.. El túnel inferior de Carga continúa la conducción desde el codo inferior del Pozo de Carga hasta la entrada a las Galerías del Distribuidor localizada en la Central Subterránea; este túnel se bifurca en dos ramales, el primero con una longitud de 1,389 m, el segundo tiene una longitud total de 1,443 m. +- La central subterránea está conformada por dos cavernas localizadas a 550 m de profundidad y un conjunto de galerías de acceso, de servicio y de ventilación. El acceso a la central subterránea se hace a través del túnel de acceso de 2 km de longitud.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V2.1,CDM - AMS-I.D.: Grid connected renewable electricity generation,Certified,"[{'city': 'Ubalá', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.744019972929907, 'longitude': -73.53418839030685}}, {'city': 'Ubalá', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.744019972929907, 'longitude': -73.53418839030685}}, {'city': 'Ubalá', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.7430711074162915, 'longitude': -73.53645682113971}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.739000734574549, 'longitude': -73.53478133693437}}]","[{'verification': 1, 'serial': 'CDC_36_5_5_325_1_CO_1_1_2016', 'issued_quantity': 10224, 'issuance_date': '2020-10-30T17:30:58.000Z', 'year': 2016, 'is_buffer': False, 'vintage_of_credits': '2016-04-27 / 2016-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_36_5_5_325_1_CO_1_1_2017', 'issued_quantity': 16065, 'issuance_date': '2020-10-30T17:30:58.000Z', 'year': 2017, 'is_buffer': False, 'vintage_of_credits': '2017-01-01 / 2017-12-31', 'global_goals': [{'code': 7, 'description': 'Clean 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'CV'}]}, {'verification': 2, 'serial': 'CDC_36_5_12_324_1_CO_1_2_2021', 'issued_quantity': 14079, 'issuance_date': '2022-01-03T10:14:59.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-08-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_36_5_12_324_1_R6_XX_CO_1_3_2021', 'issued_quantity': 5372, 'issuance_date': '2023-02-28T12:20:44.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-09-01 / 2021-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_36_5_12_324_1_R6_XX_CO_1_3_2022', 'issued_quantity': 17418, 'issuance_date': '2023-02-28T12:20:44.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-01-01 / 2022-10-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_36_5_12_25_1_R6_XX_CO_1_4_2022', 'issued_quantity': 3957, 'issuance_date': '2024-12-10T10:38:38.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-11-01 / 2022-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_36_5_12_25_1_R6_XX_CO_1_4_2023', 'issued_quantity': 19183, 'issuance_date': '2024-12-10T10:38:38.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_36_5_12_25_1_R6_XX_CO_1_4_2024', 'issued_quantity': 10396, 'issuance_date': '2024-12-10T10:38:38.000Z', 'year': 2024, 'is_buffer': False, 'vintage_of_credits': '2024-01-01 / 2024-06-30', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",12034.0 +37,CDC-37,True,Pruebas 1,ECOxC_1449752804_80,Pruebas 1,ECOxC_1449752804_80,,,Carbon offsets,-,,Cercarbono,[],Not defined,Not defined,Not assigned,"[{'city': 'Medellín', 'country': 'Colombia', 'region': 'Antioquia', 'data_map': {'latitude': 6.197478237500464, 'longitude': -75.57339584379613}}]",[], +38,CDC-38,True,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Tuv Nord,Tüv Süd America Inc - Servicios Ruby Canyon Environmental,Carbon offsets,"Proyecto Hidroeléctrico Tequendama 1, 2, 3 y 4","La actividad de proyecto consiste en la adición de capacidad de generación hidroeléctrica a un proyecto hidroeléctrico existente, a pie de presa, conectado al Sistema Interconectado Nacional (SIN). El Proyecto Hidroeléctrico Tequendama 1, 2, 3 y 4, se encuentra situado sobre el río Bogotá a unos 40 kilómetros de la ciudad de Bogotá en el Municipio de San Antonio del Tequendama, el acceso al proyecto se realiza mediante una vía terciaria que se desprende de la carretera Bogotá – La Mesa, a la altura del km 40, cuenta con una longitud de 2,200 m y permite el acceso a la central, la vía también sirve de acceso a las veredas San José, Cusio y Antonio Nariño. + +Los equipos de generación eléctrica comprenden cuatro (4) turbinas tipo Pelton de eje vertical alimentadas a 5 chorros, cada una con una potencia nominal de 14.2 MW para un total de 56.8 MW, así como cuatro (4) generadores sincrónicos con una potencia nominal de 17,300 kVA a 13,800 V, con un factor de potencia de 0.8 cada uno. + +El Proyecto Hidroeléctrico Tequendama 1, 2, 3 y 4, tiene una generación media anual de 67.36 GWh/año, para la cual aprovecha hasta 16.35 m3/s de la parte media del Río Bogotá, haciendo uso de una caída neta de 410 m desarrollada entre las cotas 2,362 y 1,952 msnm. La bocatoma se encuentra 2,400 m aguas abajo de la descarga de la central Charquito (Canoas), siendo éste el único tramo del sistema en el que río fluye por el cauce natural hasta su encuentro con los sistemas de captación de esta central. + +La conducción de las aguas se realiza mediante 1,690 m de túnel de carga revestido en concreto de 2.50 m de diámetro y 743 m de tubería de presión con diámetro medio de 1.5 m. + +El esquema básico de ingeniería consiste en la bocatoma que se localiza por la margen izquierda del río, en el primer pondaje localizado después de la central de Charquito (Canoas). Desde ahí se realiza la conducción hasta la casa de válvulas en donde se realiza el empalme con la tubería de presión que finalmente lleva el flujo a los generadores. + +El proyecto Hidroeléctrico Tequendama 1, 2, 3 y 4 no requiere de un proceso de licenciamiento ambiental (Ref. sección 5 Aspectos Legales), más, sin embargo, de acuerdo a la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, cuenta con un Plan de Manejo Ambiental y está requerida a presentar Informes de Cumplimiento Ambiental ante la citada autoridad. + +El proyecto inició su operación comercial el 03 de abril de 2018, según consta en los registros del sistema Paratec de la empresa XM S.A. ESP., y según consta en la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, su concesión de aguas para uso industrial (generación de energía eléctrica) tiene una duración de 40 años prorrogable según se establezca en la ley aplicable.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 57, 'sizeUnits': 'MW'}, {'id': 1, 'description': 'Energy industries', 'projectSize': 57, 'sizeUnits': 'MW'}]",PROTOCOL CVCC V2.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Certified,"[{'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.6162613700000374, 'longitude': -74.35184882489474}}, {'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.6162613700000374, 'longitude': -74.35184882489474}}, {'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.593144539114282, 'longitude': -74.37063382260564}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.58298010743958, 'longitude': -74.32360585647022}}]","[{'verification': 1, 'serial': 'CDC_38_5_5_325_1_CO_1_1_2018', 'issued_quantity': 77725, 'issuance_date': '2020-10-30T17:39:57.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-04-03 / 2018-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary 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'issued_quantity': 36636, 'issuance_date': '2022-01-03T10:17:21.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-07-22 / 2020-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_38_5_5_324_1_CO_1_2_2021', 'issued_quantity': 76820, 'issuance_date': '2022-01-03T10:17:21.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-08-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_38_5_5_324_1_R6_XX_CO_1_3_2021', 'issued_quantity': 17652, 'issuance_date': '2023-02-22T13:54:58.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-09-01 / 2021-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_38_5_5_324_1_R6_XX_CO_1_3_2022', 'issued_quantity': 77695, 'issuance_date': '2023-02-22T13:54:58.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-01-01 / 2022-10-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_38_5_5_323_1_R6_XX_CO_1_4_2022', 'issued_quantity': 18237, 'issuance_date': '2024-12-23T16:41:28.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-11-01 / 2022-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_38_5_5_323_1_R6_XX_CO_1_4_2023', 'issued_quantity': 50699, 'issuance_date': '2024-12-23T16:41:28.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_38_5_5_323_1_R6_XX_CO_1_4_2024', 'issued_quantity': 4473, 'issuance_date': '2024-12-23T16:41:28.000Z', 'year': 2024, 'is_buffer': False, 'vintage_of_credits': '2024-01-01 / 2024-06-30', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",49905.0 +39,CDC-39,True,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Tuv Nord,GHG Assurance Assessment Bureau S.A. de C.V.,Carbon offsets,Proyecto Hidroeléctrico Dario Valencia Samper,"La actividad de proyecto consiste en una nueva central de generación hidroeléctrica a pie de presa, conectada al Sistema Interconectado Nacional (SIN), la Central Hidroeléctrica Dario Valencia Samper se encuentra situada en el municipio de El Colegio a una distancia de 50 km de la ciudad de Bogotá, en el km 3.7 de la vía que conduce de Mesitas del Colegio a la Mesa, la carretera es pavimentada y cuenta con obras de drenaje adecuadas para su conservación y mantenimiento. + +Los equipos de generación eléctrica comprenden tres (3) turbinas tipo Pelton de eje horizontal, cada una con una potencia neta efectiva de 50 MW para un total de 150 MW, así como tres (3) generadores sincrónicos con una potencia nominal de 62,500 kVA a 13,800 V, con un factor de potencia de 0.8 cada uno. + +La Central Hidroeléctrica Dario Valencia Samper, tiene una generación media anual de 497.66 GWh/año, para la cual aprovecha un caudal máximo de 17.5 m3/s y un caudal mínimo de 2 m3/s del Río Bogotá, entre las cotas cotas 1,664 y 708 msnm, haciendo uso de una caída neta de 960 m. + +El esquema básico de ingeniería consiste en la bocatoma, que se encuentra en la central Limonar (Laguneta) por la margen izquierda del río Bogotá, y utiliza un pondaje de sustitución y regulación de caudales con una capacidad de almacenamiento de 56,700 m3. + +La conducción hasta la casa de máquinas se realiza a través de un túnel y dos tuberías de carga. En la casa de máquinas, el caudal turbinado retorna al río en un primer tramo, mediante una descarga de fondo y posteriormente a través de un canal hasta el río. + +La Central Hidroeléctrica Dario Valencia Samper no requiere de un proceso de licenciamiento ambiental (Ref. sección 5 Aspectos Legales), más, sin embargo, de acuerdo a la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, cuenta con un Plan de Manejo Ambiental y está requerida a presentar Informes de Cumplimiento Ambiental ante la citada autoridad. + +El proyecto inició su operación comercial el 10 de noviembre de 2013 con la operación de la Unidad 2, seguida de la Unidad 1 el 28 de enero de 2014 y finalmente la Unidad 5 el 2 de abril de 2014, según consta en los registros del sistema Paratec de la empresa XM S.A. ESP., y según consta en la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, su concesión de aguas para uso industrial (generación de energía eléctrica) tiene una duración de 40 años prorrogable según se establezca en la ley aplicable.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 150, 'sizeUnits': 'MW'}, {'id': 1, 'description': 'Energy industries', 'projectSize': 150, 'sizeUnits': 'MW'}]",PROTOCOL CVCC V2.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Certified,"[{'city': 'El Colegio', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.58162051607959, 'longitude': -74.44356885198654}}, {'city': 'El Colegio', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.58162051607959, 'longitude': -74.44356885198654}}, {'city': 'El Colegio', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.579026964997922, 'longitude': -74.45108044074234}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.599939664990405, 'longitude': -74.43566451046982}}]","[{'verification': 1, 'serial': 'CDC_39_5_5_325_1_CO_1_1_2015', 'issued_quantity': 5829, 'issuance_date': '2020-10-30T18:00:02.000Z', 'year': 2015, 'is_buffer': False, 'vintage_of_credits': '2015-10-01 / 2015-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 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'2020-10-30T18:00:02.000Z', 'year': 2018, 'is_buffer': False, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_39_5_5_325_1_CO_1_1_2019', 'issued_quantity': 256336, 'issuance_date': '2020-10-30T18:00:02.000Z', 'year': 2019, 'is_buffer': False, 'vintage_of_credits': '2019-01-01 / 2019-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'CDC_39_5_5_325_1_CO_1_1_2020', 'issued_quantity': 103241, 'issuance_date': '2020-10-30T18:00:02.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-01 / 2020-07-21', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_39_5_5_324_1_CO_1_2_2020', 'issued_quantity': 152880, 'issuance_date': '2022-01-03T10:19:57.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-07-22 / 2020-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_39_5_5_324_1_CO_1_2_2021', 'issued_quantity': 169639, 'issuance_date': '2022-01-03T10:19:57.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-08-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_39_5_5_324_1_R6_XX_CO_1_3_2021', 'issued_quantity': 85762, 'issuance_date': '2023-02-22T13:50:55.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-09-01 / 2021-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_39_5_5_324_1_R6_XX_CO_1_3_2022', 'issued_quantity': 231027, 'issuance_date': '2023-02-22T13:50:55.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-01-01 / 2022-10-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_39_5_5_25_1_R6_XX_CO_1_4_2022', 'issued_quantity': 43466, 'issuance_date': '2024-12-23T17:13:38.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-11-01 / 2022-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_39_5_5_25_1_R6_XX_CO_1_4_2023', 'issued_quantity': 211770, 'issuance_date': '2024-12-23T17:13:38.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_39_5_5_25_1_R6_XX_CO_1_4_2024', 'issued_quantity': 49977, 'issuance_date': '2024-12-23T17:13:38.000Z', 'year': 2024, 'is_buffer': False, 'vintage_of_credits': '2024-01-01 / 2024-06-30', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",249918.0 +40,CDC-40,True,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Enel Colombia S.A. E.S.P.,ECOxC_243990169_104,Tuv Nord,Tüv Süd America Inc - Servicios Ruby Canyon Environmental,Carbon offsets,Proyecto Hidroeléctrico El Salto II,"La actividad de proyecto consiste en una nueva central de generación hidroeléctrica a pie de presa, conectada al Sistema Interconectado Nacional (SIN), la Central Hidroeléctrica El Salto II se encuentra situada en el municipio de San Antonio de Tequendama, sobre el río Bogotá a unos 40 kilómetros de la ciudad de Bogotá en el Municipio de San Antonio del Tequendama, el acceso a la central se realiza mediante una vía terciaria que se desprende de la carretera Bogotá – La Mesa, a la altura del km 40, cuenta con una longitud de 2,200 m y permite el acceso a la central, la vía también sirve de acceso a las veredas San José, Cusio y Antonio Nariño. + +Los equipos de generación eléctrica comprenden una (1) turbina tipo Pelton de eje Vertical, con una potencia neta efectiva de 35 MW, así como un (1) generador sincrónico con una potencia nominal de 40,400 kVA a 13,800 V, con un factor de potencia de 0.8. + +La Central Hidroeléctrica El Salto II, tiene una generación media anual de 153.23 GWh/año, se surte del Río Bogotá. La caída neta aprovechada es de 410 m, entre las cotas 2,362 y 1,952 msnm y el caudal máximo aprovechado es de 10 m3/s. + +La conducción de las aguas, se realiza mediante 1.7 km de túnel de carga de 2.4 a 2.65 m de diámetro, 30 m de pozo de carga de 2.65 m de diámetro y 800 m de tubería de presión con diámetro variable. + +La Central Hidroeléctrica El Salto II no requiere de un proceso de licenciamiento ambiental (Ref. sección 5 Aspectos Legales), más, sin embargo, de acuerdo a la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, cuenta con un Plan de Manejo Ambiental y está requerida a presentar Informes de Cumplimiento Ambiental ante la citada autoridad. + +El proyecto inició su operación comercial el 25 de junio de 2014, según consta en los registros del sistema Paratec de la empresa XM S.A. ESP., y según consta en la Resolución 2984 emitida el 09 de octubre de 2017 emitida por la Corporación Autónoma Regional de Cundinamarca, su concesión de aguas para uso industrial (generación de energía eléctrica) tiene una duración de 40 años prorrogable según se establezca en la ley aplicable.",Cercarbono,"[{'id': 1, 'description': 'Energy industries', 'projectSize': 0, 'sizeUnits': ''}, {'id': 1, 'description': 'Energy industries', 'projectSize': 35, 'sizeUnits': 'MW'}, {'id': 1, 'description': 'Energy industries', 'projectSize': 35, 'sizeUnits': 'MW'}]",PROTOCOL CVCC V2.1,CDM - ACM0002: Grid-connected electricity generation from renewable sources,Certified,"[{'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.616699825190122, 'longitude': -74.35170935003046}}, {'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': 4.616699825190122, 'longitude': -74.35170935003046}}, {'city': 'San Antonio del Tequendama', 'country': 'Colombia', 'region': 'Cundinamarca', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': '', 'longitude': ''}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.594003445123802, 'longitude': -74.37102494183117}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 4.642693989035872, 'longitude': -74.3321671638309}}]","[{'verification': 1, 'serial': 'CDC_40_5_5_325_1_CO_1_1_2015', 'issued_quantity': 1202, 'issuance_date': '2020-10-30T18:04:07.000Z', 'year': 2015, 'is_buffer': False, 'vintage_of_credits': '2015-10-01 / 2015-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary 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7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_40_5_5_324_1_R6_XX_CO_1_3_2021', 'issued_quantity': 13162, 'issuance_date': '2023-02-23T12:38:16.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-09-01 / 2021-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_40_5_5_324_1_R6_XX_CO_1_3_2022', 'issued_quantity': 32771, 'issuance_date': '2023-02-23T12:38:16.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-01-01 / 2022-10-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_40_5_5_323_1_R6_XX_CO_1_4_2022', 'issued_quantity': 14817, 'issuance_date': '2024-12-23T17:42:07.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-11-01 / 2022-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_40_5_5_323_1_R6_XX_CO_1_4_2023', 'issued_quantity': 32113, 'issuance_date': '2024-12-23T17:42:07.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_40_5_5_323_1_R6_XX_CO_1_4_2024', 'issued_quantity': 5701, 'issuance_date': '2024-12-23T17:42:07.000Z', 'year': 2024, 'is_buffer': False, 'vintage_of_credits': '2024-01-01 / 2024-06-30', 'global_goals': [{'code': 7, 'description': 'Clean energy'}, {'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",53168.0 +41,CDC-41,True,Biogás Colombia S.A.S. E.S.P.,ECOxC_143963263_139,ENERGIE GESELLSCHAFT S A S,,Verifit,ICONTEC,Carbon offsets,Cartagena Landfill Gas Capture and Usage Project,"Capture, destruction and use of the methane produced in the Loma de los Cocos landfill in the city of Cartagena for the destruction, treatment, use and / or production of electrical energy",Cercarbono,"[{'id': 13, 'description': 'Waste handling and disposal', 'projectSize': 0, 'sizeUnits': ''}, {'id': 13, 'description': 'Waste handling and disposal', 'projectSize': 0, 'sizeUnits': ''}]",PROTOCOL CVCC V2.1,CDM - ACM0001: Flaring or use of landfill gas,Certified,"[{'city': 'Cartagena', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.397830565952972, 'longitude': -75.49679995590427}}, {'city': 'Cartagena', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 10.397830565952972, 'longitude': -75.49679995590427}}, {'city': 'Cartagena', 'country': 'Colombia', 'region': 'Bolivar', 'data_map': {'latitude': 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'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 1, 'serial': 'IC_49_1_1_321_14_CO_1_1_2009_BF', 'issued_quantity': 949, 'issuance_date': '2023-04-14T16:07:18.000Z', 'year': 2009, 'is_buffer': True, 'vintage_of_credits': '2009-01-01 / 2009-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_49_1_1_321_14_CO_1_2_2018_BF', 'issued_quantity': 9895, 'issuance_date': '2023-04-14T16:07:19.000Z', 'year': 2018, 'is_buffer': True, 'vintage_of_credits': '2018-01-01 / 2018-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_49_1_1_321_14_CO_1_2_2019_BF', 'issued_quantity': 7421, 'issuance_date': '2023-04-14T16:07:20.000Z', 'year': 2019, 'is_buffer': True, 'vintage_of_credits': '2019-01-01 / 2019-10-01', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_2022', 'issued_quantity': 41344, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-05-26 / 2022-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Colima Carbon Tax (SBC - COL2)', 'code': 'MXCCT'}]}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_2023', 'issued_quantity': 68405, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Colima Carbon Tax (SBC - COL2)', 'code': 'MXCCT'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_2024', 'issued_quantity': 26684, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2024, 'is_buffer': False, 'vintage_of_credits': '2024-01-01 / 2024-05-22', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Voluntary compensation', 'code': 'CV'}, {'description': 'Colima Carbon Tax (SBC - COL2)', 'code': 'MXCCT'}]}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_BFC_2022', 'issued_quantity': 7296, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2022, 'is_buffer': True, 'vintage_of_credits': '2022-05-26 / 2022-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': []}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_BFC_2023', 'issued_quantity': 12072, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2023, 'is_buffer': True, 'vintage_of_credits': '2023-01-01 / 2023-12-31', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': []}, {'verification': 4, 'serial': 'CDC_49_1_29_321_14_R1_XX_CO_1_4_BFC_2024', 'issued_quantity': 4709, 'issuance_date': '2026-02-19T11:06:50.000Z', 'year': 2024, 'is_buffer': True, 'vintage_of_credits': '2024-01-01 / 2024-05-22', 'global_goals': [{'code': 4, 'description': 'Education'}, {'code': 5, 'description': 'Gender equality'}, {'code': 8, 'description': 'Economic growth'}, {'code': 9, 'description': 'Industry and infrastructure'}, {'code': 11, 'description': 'Sustainability'}, {'code': 12, 'description': 'Responsible consumption'}, {'code': 13, 'description': 'Climate action'}, {'code': 15, 'description': 'Life on land'}], 'elegible': []}]",28649.0 +50,CDC-50,True,VEOLIA COLOMBIA HOLDING SA,ECOxC_1392336226_154,VEOLIA COLOMBIA HOLDING SA,ECOxC_1392336226_154,ICONTEC,ICONTEC,Carbon offsets,Veolia LFG PTA Antanas landfill," +The GHG mitigation project activity (GHG-PRR) titled “Veolia LFG Project at PTA Antanas landfill” encompasses the construction and operation of a landfill gas (LFG) collection and destruction infrastructure at the PTA Antanas landfill with LFG being destroyed through combustion in high temperature enclosed flare(s). +",Cercarbono,"[{'id': 13, 'description': 'Waste handling and disposal', 'projectSize': 0, 'sizeUnits': ''}, {'id': 13, 'description': 'Waste handling and disposal', 'projectSize': 26433, 'sizeUnits': 'tCO2'}, {'id': 13, 'description': 'Waste handling and disposal', 'projectSize': 26433, 'sizeUnits': 'tCO2'}]",PROTOCOL CVCC V2.1,CDM - ACM0001: Flaring or use of landfill gas,Certified,"[{'city': 'Pasto', 'country': 'Colombia', 'region': 'Narino', 'data_map': {'latitude': 1.207518418338964, 'longitude': -77.27997000208127}}, {'city': 'Pasto', 'country': 'Colombia', 'region': 'Narino', 'data_map': {'latitude': 1.207518418338964, 'longitude': -77.27997000208127}}, {'city': 'Pasto', 'country': 'Colombia', 'region': 'Narino', 'data_map': {'latitude': 1.207518418338964, 'longitude': -77.27997000208127}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 1.207518418338964, 'longitude': -77.27997000208127}}, {'city': 'Worldwide', 'country': 'Colombia', 'region': 'Worldwide', 'data_map': {'latitude': 1.442732394289866, 'longitude': -77.21374979427824}}]","[{'verification': 1, 'serial': 'CDC_50_8_9_328_13_CO_1_1_2020', 'issued_quantity': 20306, 'issuance_date': '2020-12-31T09:28:43.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-01-29 / 2020-11-30', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_50_8_9_321_13_CO_1_2_2020', 'issued_quantity': 2016, 'issuance_date': '2022-03-04T10:28:31.000Z', 'year': 2020, 'is_buffer': False, 'vintage_of_credits': '2020-12-01 / 2020-12-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 2, 'serial': 'CDC_50_8_9_321_13_CO_1_2_2021', 'issued_quantity': 18929, 'issuance_date': '2022-03-04T10:28:31.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-01-01 / 2021-10-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_50_8_9_321_13_R5_XX_CO_1_3_2021', 'issued_quantity': 6188, 'issuance_date': '2023-01-20T11:08:52.000Z', 'year': 2021, 'is_buffer': False, 'vintage_of_credits': '2021-11-01 / 2021-12-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 3, 'serial': 'CDC_50_8_9_321_13_R5_XX_CO_1_3_2022', 'issued_quantity': 20245, 'issuance_date': '2023-01-20T11:08:52.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-01-01 / 2022-09-30', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_50_1_9_321_13_R5_XX_CO_2_4_2022', 'issued_quantity': 6897, 'issuance_date': '2024-05-22T10:02:30.000Z', 'year': 2022, 'is_buffer': False, 'vintage_of_credits': '2022-10-01 / 2022-12-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}, {'verification': 4, 'serial': 'CDC_50_1_9_321_13_R5_XX_CO_2_4_2023', 'issued_quantity': 34095, 'issuance_date': '2024-05-22T10:02:30.000Z', 'year': 2023, 'is_buffer': False, 'vintage_of_credits': '2023-01-01 / 2023-08-31', 'global_goals': [{'code': 13, 'description': 'Climate action'}], 'elegible': [{'description': 'Colombian Carbon Tax', 'code': 'ICC'}, {'description': 'Querétaro Carbon Tax', 'code': 'ICQ'}, {'description': 'Voluntary compensation', 'code': 'CV'}]}]",113435.0 diff --git a/tests/data/cercarbono/retirements.csv b/tests/data/cercarbono/retirements.csv new file mode 100644 index 0000000..47c86ba --- /dev/null +++ b/tests/data/cercarbono/retirements.csv @@ -0,0 +1,101 @@ +project_name,project_id,serial,vintage,certificate_destination,end_user,passive_subject,date,quantity,public_consult,from,to,industry +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2009,2009,Voluntary compensation,Reciclene S.A.S,,2022-02-24 20:20:59,546,https://www.ecoregistry.io/projects/1,4426,4971,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2009,2009,Voluntary compensation,Proquinal S.A.S,,2021-12-21 13:13:20,2164,https://www.ecoregistry.io/projects/1,2262,4425,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2008,2008,Voluntary compensation,Proquinal S.A.S,,2021-12-21 13:12:06,68,https://www.ecoregistry.io/projects/1,1216,1283,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2009,2009,Voluntary compensation,Not public,,2020-01-24 08:58:34,606,https://www.ecoregistry.io/projects/1,1656,2261,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2009,2009,Voluntary compensation,Not public,,2020-01-24 08:56:14,1655,https://www.ecoregistry.io/projects/1,1,1655,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1_2008,2008,Voluntary compensation,Not public,,2020-01-24 08:51:41,1215,https://www.ecoregistry.io/projects/1,1,1215,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1,2015,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-04-17 11:27:06,61740,https://www.ecoregistry.io/projects/1,1000,62739,Not defined +Carbono Agroporvanda,1,CDC_1_1_1_321_14_1,2015,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-03-07 18:33:46,1000,https://www.ecoregistry.io/projects/1,0,999,Not defined +Carbono Agrorios,2,CDC_2_1_1_321_14_1,2012,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-04-17 13:47:02,9516,https://www.ecoregistry.io/projects/2,0,9515,Not defined +Carbono Flor y Nuevo,3,CDC_3_1_1_321_14_1,2011,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-04-17 13:56:56,26318,https://www.ecoregistry.io/projects/3,0,26317,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_R1_XX_CO_1_2_2022,2022,Voluntary compensation,Bayer AG,,2024-01-31 08:16:34,3552,https://www.ecoregistry.io/projects/4,1,3552,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_R1_XX_CO_1_2_2021,2021,Voluntary compensation,Bayer AG,,2024-01-31 08:14:44,4950,https://www.ecoregistry.io/projects/4,1,4950,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_R1_XX_CO_1_2_2020,2020,Voluntary compensation,Bayer AG,,2024-01-31 08:11:19,4964,https://www.ecoregistry.io/projects/4,1,4964,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_R1_XX_CO_1_2_2019,2019,Voluntary compensation,Bayer AG,,2024-01-31 08:09:45,4950,https://www.ecoregistry.io/projects/4,1,4950,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_R1_XX_CO_1_2_2018,2018,Voluntary compensation,Bayer AG,,2024-01-31 08:05:07,609,https://www.ecoregistry.io/projects/4,1,609,Not defined +Carbono Paja Perdida,4,CDC_4_1_1_321_14_1,2009,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-04-17 14:09:53,63593,https://www.ecoregistry.io/projects/4,0,63592,Not defined +Carbono La Puya y San Lorenzo,5,CDC_5_1_1_321_14_R1_XX_CO_1_2_2020,2020,Voluntary compensation,Bayer AG,,2024-01-31 08:26:40,9274,https://www.ecoregistry.io/projects/5,1,9274,Not defined +Carbono La Puya y San Lorenzo,5,CDC_5_1_1_321_14_R1_XX_CO_1_2_2021,2021,Voluntary compensation,Bayer AG,,2024-01-31 08:25:08,8186,https://www.ecoregistry.io/projects/5,1,8186,Not defined +Carbono La Puya y San Lorenzo,5,CDC_5_1_1_321_14_R1_XX_CO_1_2_2019,2019,Voluntary compensation,Bayer AG,,2024-01-31 08:19:59,9247,https://www.ecoregistry.io/projects/5,1,9247,Not defined +Carbono La Puya y San Lorenzo,5,CDC_5_1_1_321_14_R1_XX_CO_1_2_2018,2018,Voluntary compensation,Bayer AG,,2024-01-31 08:18:33,1931,https://www.ecoregistry.io/projects/5,1,1931,Not defined +Carbono La Puya y San Lorenzo,5,CDC_5_1_1_321_14_1,2012,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-04-17 14:19:13,15245,https://www.ecoregistry.io/projects/5,0,15244,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,PLUS+ ENERGY S.A.S,PLUS+ ENERGY S.A.S,2022-07-19 16:13:01,6404,https://www.ecoregistry.io/projects/7,22410,28813,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,AEROSUCRE S.A.,TERPEL S.A.,2022-07-13 15:07:54,3000,https://www.ecoregistry.io/projects/7,19410,22409,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2021,2021,Colombian Carbon Tax,PETROLEOS DEL MILENIO S.A.,PETROLEOS DEL MILENIO S.A.S,2022-06-23 13:14:01,1371,https://www.ecoregistry.io/projects/7,1013,2383,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2020,2020,Colombian Carbon Tax,PETROLEOS DEL MILENIO S.A.,PETROLEOS DEL MILENIO S.A.S,2022-06-23 13:10:22,15463,https://www.ecoregistry.io/projects/7,13430,28892,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,PETROLEOS DEL MILENIO S.A.,PETROLEOS DEL MILENIO S.A.S,2022-06-23 13:06:00,5469,https://www.ecoregistry.io/projects/7,13941,19409,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2018,2018,Colombian Carbon Tax,PETROLEOS DEL MILENIO S.A.,PETROLEOS DEL MILENIO S.A.S,2022-06-23 13:03:26,7697,https://www.ecoregistry.io/projects/7,680,8376,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2020,2020,Colombian Carbon Tax,AEROSUCRE S.A.,TERPEL S.A.,2022-05-18 08:29:51,3000,https://www.ecoregistry.io/projects/7,10430,13429,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2021,2021,Colombian Carbon Tax,Not public,TERPEL S.A.,2022-05-09 11:30:12,191,https://www.ecoregistry.io/projects/7,822,1012,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,Not public,TERPEL S.A.,2022-05-09 11:26:50,2089,https://www.ecoregistry.io/projects/7,11852,13940,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1_2009,2009,Voluntary compensation,Championx de Colombia Ltda,,2022-05-02 09:31:22,694,https://www.ecoregistry.io/projects/7,1,694,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2020,2020,Colombian Carbon Tax,Not public,PETROLEOS DEL MILENIO S.A.S,2022-04-21 10:54:47,10429,https://www.ecoregistry.io/projects/7,1,10429,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,Not public,PETROLEOS DEL MILENIO S.A.S,2022-04-21 10:43:42,9571,https://www.ecoregistry.io/projects/7,2281,11851,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2019,2019,Colombian Carbon Tax,Not public,TERPEL S.A.,2022-04-12 07:59:57,2280,https://www.ecoregistry.io/projects/7,1,2280,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2021,2021,Colombian Carbon Tax,Not public,TERPEL S.A.,2022-04-11 06:36:22,821,https://www.ecoregistry.io/projects/7,1,821,Not defined +Reforestación Comercial en Meta,7,CDC_7_3_1_323_14_CO_1_2_2018,2018,Colombian Carbon Tax,Not public,TERPEL S.A.,2022-04-11 06:20:56,679,https://www.ecoregistry.io/projects/7,1,679,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-12-02 10:55:48,36,https://www.ecoregistry.io/projects/7,340721,340756,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-12-02 10:54:06,466,https://www.ecoregistry.io/projects/7,340255,340720,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-11-13 06:49:34,1,https://www.ecoregistry.io/projects/7,340254,340254,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-11-13 06:48:58,2,https://www.ecoregistry.io/projects/7,340252,340253,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-11-13 06:48:23,1,https://www.ecoregistry.io/projects/7,340251,340251,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S A S.,2020-11-13 06:47:47,1,https://www.ecoregistry.io/projects/7,340250,340250,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-09-18 11:07:00,298,https://www.ecoregistry.io/projects/7,339952,340249,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-09-18 11:05:08,1,https://www.ecoregistry.io/projects/7,339951,339951,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-09-18 11:00:25,1,https://www.ecoregistry.io/projects/7,339950,339950,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-07-15 10:56:09,1155,https://www.ecoregistry.io/projects/7,338795,339949,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-07-15 10:54:52,533,https://www.ecoregistry.io/projects/7,338262,338794,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-07-15 10:52:43,1105,https://www.ecoregistry.io/projects/7,337157,338261,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-03-13 12:44:36,701,https://www.ecoregistry.io/projects/7,336456,337156,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-03-13 12:43:13,588,https://www.ecoregistry.io/projects/7,335868,336455,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-03-13 12:38:35,644,https://www.ecoregistry.io/projects/7,335224,335867,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-03-13 12:36:46,647,https://www.ecoregistry.io/projects/7,334577,335223,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-03-13 12:35:26,420,https://www.ecoregistry.io/projects/7,334157,334576,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-02-13 10:38:35,2961,https://www.ecoregistry.io/projects/7,331196,334156,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-02-12 15:28:25,6621,https://www.ecoregistry.io/projects/7,324575,331195,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-02-12 15:27:15,15253,https://www.ecoregistry.io/projects/7,309322,324574,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-02-12 15:25:37,78,https://www.ecoregistry.io/projects/7,309244,309321,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-02-12 15:24:15,10901,https://www.ecoregistry.io/projects/7,298343,309243,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-02-12 15:22:30,1519,https://www.ecoregistry.io/projects/7,296824,298342,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-02-12 14:57:13,1281,https://www.ecoregistry.io/projects/7,295543,296823,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-02-12 14:55:47,2179,https://www.ecoregistry.io/projects/7,293364,295542,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-02-10 10:33:04,1824,https://www.ecoregistry.io/projects/7,291540,293363,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-02-10 10:29:31,92,https://www.ecoregistry.io/projects/7,291448,291539,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-24 08:10:24,16326,https://www.ecoregistry.io/projects/7,275122,291447,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-24 08:05:19,11614,https://www.ecoregistry.io/projects/7,263508,275121,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PLUS+ ENERGY S.A.S,2020-01-20 14:44:21,1094,https://www.ecoregistry.io/projects/7,262414,263507,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PLUS+ ENERGY S.A.S,2020-01-20 14:41:35,598,https://www.ecoregistry.io/projects/7,261816,262413,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-16 16:27:04,2961,https://www.ecoregistry.io/projects/7,258855,261815,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-16 15:10:57,16690,https://www.ecoregistry.io/projects/7,242165,258854,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-16 15:08:34,2229,https://www.ecoregistry.io/projects/7,239936,242164,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2020-01-16 15:05:08,1554,https://www.ecoregistry.io/projects/7,238382,239935,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-14 11:55:50,1357,https://www.ecoregistry.io/projects/7,237025,238381,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-01-14 11:54:01,3095,https://www.ecoregistry.io/projects/7,233930,237024,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2020-01-08 14:04:50,2000,https://www.ecoregistry.io/projects/7,231930,233929,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-08 13:53:40,226,https://www.ecoregistry.io/projects/7,231704,231929,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2020-01-08 13:48:07,774,https://www.ecoregistry.io/projects/7,230930,231703,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-12-16 13:16:19,17315,https://www.ecoregistry.io/projects/7,213615,230929,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2019-12-13 15:21:31,29581,https://www.ecoregistry.io/projects/7,184034,213614,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-12-13 15:07:47,6059,https://www.ecoregistry.io/projects/7,177975,184033,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2019-12-13 15:04:40,2355,https://www.ecoregistry.io/projects/7,175620,177974,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-18 14:02:06,1959,https://www.ecoregistry.io/projects/7,173661,175619,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-18 14:00:15,2726,https://www.ecoregistry.io/projects/7,170935,173660,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PLUS+ ENERGY S.A.S,2019-11-18 09:50:14,15000,https://www.ecoregistry.io/projects/7,155935,170934,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2019-11-15 17:31:16,1975,https://www.ecoregistry.io/projects/7,153960,155934,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-15 17:29:02,37284,https://www.ecoregistry.io/projects/7,116676,153959,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PUMA ENERGY COLOMBIA COMBUSTIBLES S.A.S.,2019-11-13 10:50:14,100000,https://www.ecoregistry.io/projects/7,16676,116675,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-11-12 17:55:25,3187,https://www.ecoregistry.io/projects/7,13489,16675,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-12 17:52:22,1898,https://www.ecoregistry.io/projects/7,11591,13488,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:59:10,334,https://www.ecoregistry.io/projects/7,11257,11590,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2019-11-09 09:52:46,565,https://www.ecoregistry.io/projects/7,10692,11256,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-11-09 09:48:21,445,https://www.ecoregistry.io/projects/7,10247,10691,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:41:36,96,https://www.ecoregistry.io/projects/7,10151,10246,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,CHEVRON PETROLEUM COMPANY,2019-11-09 09:29:33,397,https://www.ecoregistry.io/projects/7,9754,10150,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:24:02,2279,https://www.ecoregistry.io/projects/7,7475,9753,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:18:29,292,https://www.ecoregistry.io/projects/7,7183,7474,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:13:52,224,https://www.ecoregistry.io/projects/7,6959,7182,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 09:08:48,730,https://www.ecoregistry.io/projects/7,6229,6958,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 08:55:07,915,https://www.ecoregistry.io/projects/7,5314,6228,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,PRIMAX COLOMBIA S.A.,2019-11-09 08:47:31,827,https://www.ecoregistry.io/projects/7,4487,5313,Not defined +Reforestación Comercial en Meta,7,CDC_7_1_1_321_14_CO_1_1,2010,Colombian Carbon Tax,Not public,TERPEL S.A.,2019-11-09 08:41:43,2961,https://www.ecoregistry.io/projects/7,1526,4486,Not defined diff --git a/tests/data/isometric/issuances.csv b/tests/data/isometric/issuances.csv new file mode 100644 index 0000000..219eb79 --- /dev/null +++ b/tests/data/isometric/issuances.csv @@ -0,0 +1,101 @@ +id,issued_at,project_id,supplier.id,supplier.short_description,supplier.long_description,supplier.organisation.id,supplier.organisation.name,supplier.organisation.domain,supplier.location,supplier_credit_batch_size_total.credits,supplier_credit_batch_size_total.credit_kgs,buffer_pool_credit_batch_size_total.credits,buffer_pool_credit_batch_size_total.credit_kgs,credit_batch_size_total.credits,credit_batch_size_total.credit_kgs,supplier.location.country_code,supplier.location.country_name,supplier.location.latitude,supplier.location.longitude,supplier.location.description +iss_1KP6EDZ8K1S036PY,2026-04-14T16:50:41.621676Z,prj_1JYCV03BW1S0RTE5,spl_1J6EQFMYF1S00KDE,Alt Carbon removes carbon dioxide from the atmosphere by accelerating earth’s natural carbon dioxide regulating mechanism - weathering.,"Alt Carbon is a deeptech science and data company, building agri-infrastructure for Planetary Intelligence. They aim to make South Asia a hub for Carbon Dioxide Removal (CDR) through technology pathways like Enhanced Rock Weathering. They work with farmers and scientists in the Global South, to turn underutilized land into carbon sinks and aim to unite climate action with cultural and ecological restoration — by reviving degraded soils, restoring livelihoods, and rebuilding ecosystems. Alt Carbon are rooted in science, powered by community, and driven by the belief that revivals require ambitious people and audacious bets.",org_1J6EQBDPF1S0S9P4,Alt Carbon,alt-carbon.com,,2710.062,2710062,55.308,55308,2765.37,2765370,,,,, +iss_1KNWQGW3W1S00T4H,2026-04-10T22:17:09.640909Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,4923.623,4923623,100.777,100777,5024.4,5024400,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KN4715T51S0BCKZ,2026-04-01T09:47:11.635914Z,prj_1JZ0ZD3JN1S0SHW9,spl_1JWY4JWJK1S05RE6,Mombak removes carbon at scale in Brazil across two complementary pathways: reforesting the Amazon and spreading finely ground rock on agricultural soils.,"Mombak is a multi-pathway carbon removal company operating large-scale Reforestation and Enhanced Rock Weathering (ERW) projects in Brazil. Our reforestation program transforms degraded pasturelands into biodiverse carbon sinks through native species planting and assisted natural regeneration. We actively neutralize leakage from our project areas and guarantee 100-year durability through continuous satellite monitoring of our forests. Our ERW projects spread finely ground rock on agricultural soils, where it captures atmospheric CO₂ as stable bicarbonates stored in the ocean on geological timescales — while improving soil health and crop yields for farmers. Across both pathways, we apply rigorous MRV protocols to deliver transparent, science-based carbon removal at scale.",org_1JWY4JWJK1S0ASV7,Mombak,mombak.com,,46.001,46001,0.939,939,46.94,46940,,,,, +iss_1KN0CFPA31S06M3M,2026-03-30T22:05:32.409339Z,prj_1H502CZZH1S0VMYW,spl_1H4RJ0NBR1S0JKNR,"Planetary Technologies add alkaline compounds to seawater to enhance the natural ability of seawater to absorb atmospheric carbon dioxide, storing the carbon in dissolved carbon-containing ions in the oceans.",Planetary removes carbon by adding finely ground alkaline feedstock to industrial outfalls that discharge into the ocean. This reduces ocean acidity and allows the ocean to naturally absorb more CO₂ from the atmosphere through air-sea gas exchange.,org_1H4RJ0NBR1S0YYT3,Planetary,planetarytech.com,,1499.721,1499721,30.609,30609,1530.33,1530330,CAN,Canada,44.666,-63.5676, +iss_1KN07ZZD51S0JMQ5,2026-03-30T20:47:03.143292Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,1352.328,1352328,101.802,101802,1454.13,1454130,,,,, +iss_1KM6AXSV81S0EY1W,2026-03-20T19:18:02.454490Z,prj_1JXCRW5ST1S0EEKH,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,508.865,508865,10.385,10385,519.25,519250,,,,, +iss_1KM6AXSV81S0CNQK,2026-03-20T19:18:02.405810Z,prj_1JXCRW5ST1S0EEKH,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,787.762,787762,16.078,16078,803.84,803840,,,,, +iss_1KM67E92D1S0Q41Q,2026-03-20T18:17:07.999701Z,prj_1JQEQKCF91S06HAJ,spl_1JPQG0XPF1S01KTD,NULIFE GreenTech utilizes patented Hydrothermal Liquefaction (HTL) technology to convert waste biomass into bio-oil. The bio-oil is injected underground for durable storage.,"NULIFE GreenTech is a scalable, decentralized BiCRS solution that not only enables permanent carbon removal but also directly addresses real waste management challenges. By converting waste biomass—which would otherwise decompose and release emissions—into carbon-rich bio-oil, NULIFE provides a sustainable alternative to traditional disposal methods. NULIFE’s modular HTL technology is highly flexible, processing a variety of engineered slurries containing both wet and dry organic wastes. The resulting bio-oil is transported for geological sequestration, ensuring permanent carbon removal. Additionally, NULIFE generates valuable co-products, including CO₂ gas and biochar, which can be leveraged for further carbon dioxide removal or to offset fossil fuels. The effluent water from the process can be recycled into the HTL system or repurposed to support regional water supply, enhancing sustainability.",org_1JPQFP4VR1S0R1RT,NULIFE GreenTech,nulifegreentech.com,,266.421,266421,5.439,5439,271.86,271860,,,,, +iss_1KM0TFZQ51S02DX9,2026-03-18T15:54:40.332908Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,725.924,725924,38.216,38216,764.14,764140,USA,United States of America,37.77,-122.42, +iss_1KM0S5YS91S0W1DR,2026-03-18T15:31:43.563589Z,prj_1J7NQMR9V1S04P0D,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,150.812,150812,3.078,3078,153.89,153890,DEU,Germany,48.1351,11.582, +iss_1KKXY110X1S0E05V,2026-03-17T12:58:41.129412Z,prj_1K10D531D1S0DEV9,spl_1JWGBNCEC1S0PNGQ,"Terradot accelerates the natural process of rock weathering by spreading crushed silicate rock on farmland, permanently removing atmospheric CO₂ while enhancing soil health.","Terradot accelerates the natural process of rock weathering by applying finely ground silicate rock to tropical agricultural soils. Once applied, the rock dissolves in the presence of moisture and acidity, releasing base cations like calcium and magnesium that react with carbon dioxide in the soil to form bicarbonate, a stable form of carbon that is then safely transported through water systems to the ocean. This process ultimately shifts atmospheric CO₂ into the ocean’s long-term carbon cycle, where it remains sequestered for hundreds of thousands of years.",org_1JWGBGQ291S0D3F4,Terradot,terradot.earth,,200.851,200851,4.099,4099,204.95,204950,,,,, +iss_1KJG1DTHG1S04JE2,2026-02-27T17:13:02.716628Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,1898.624,1898624,142.926,142926,2041.55,2041550,,,,, +iss_1KJG1DTHG1S02NKV,2026-02-27T17:13:02.344430Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,1748.606,1748606,131.634,131634,1880.24,1880240,,,,, +iss_1KJFW4WNE1S0D5GA,2026-02-27T15:40:46.883028Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,4377.238,4377238,89.602,89602,4466.84,4466840,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KJ7FP3781S0VNRF,2026-02-24T09:29:03.523751Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,41.296,41296,2.174,2174,43.47,43470,USA,United States of America,37.77,-122.42, +iss_1KGFFSJQR1S0R673,2026-02-02T15:33:29.532049Z,prj_1JN6XNWDQ1S0BSN7,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,46.768,46768,0.962,962,47.73,47730,USA,United States of America,37.77,-122.42, +iss_1KG9R13DC1S0BRJW,2026-01-31T10:02:00.619103Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1346.769,1346769,27.551,27551,1374.32,1374320,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KG9R13DC1S09XQ5,2026-01-31T10:01:58.088473Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1894.171,1894171,38.749,38749,1932.92,1932920,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KG7NZ1XM1S0ND49,2026-01-30T14:47:24.893848Z,prj_1JXCRW5ST1S0EEKH,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,548.065,548065,11.185,11185,559.25,559250,,,,, +iss_1KG7926ZX1S0CXJW,2026-01-30T11:01:56.909074Z,prj_1K3VWSDS61S0QKV7,spl_1K3PCHYCA1S0VE66,"Equilibrium converts biomass to biochar, enabling rural livelihoods, regenerating degraded lands and enriching soil organic carbon in the region.","Equilibrium's BiCRS project converts invasive woody biomass, into durable biochar for long-term carbon sequestration. Using advanced pyrolysis technology, the project addresses critical environmental challenges, including land degradation and biodiversity loss. By diverting biomass from combustion and decay into a stable carbon form, the initiative delivers measurable climate benefits, enhances soil health, and supports sustainable rural livelihoods in one of India’s most water-stressed regions.",org_1K39J37JF1S0ADWM,Equilibrium,equilibriumearth.com,,1.44,1440,0.03,30,1.47,1470,,,,, +iss_1KFDZWJ6Z1S0RDYW,2026-01-20T15:20:33.803684Z,prj_1K39D0N8S1S0TMKX,spl_1JFW0WS9H1S0GKKN,"CarbonRun is the first in the world to use a safe, proven river restoration approach to decrease river acidity in a way that also naturally delivers carbon to the ocean, preventing it from returning to the atmosphere. Rivers as a force for change.","Through river alkalinity enhancement (RAE), site-specific amounts of safe alkalinity material is added to rivers where it dissolves rapidly, converting the CO2 in the rivers into stable, beneficial bicarbonate as well as minerals like calcium and magnesium. Our process absorbs CO₂ from both the soil and atmosphere and re-establishes key ecological building blocks. The rivers naturally transport the bicarbonate to the ocean, and the permanence of the CDR is currently estimated to be in the 10,000s of years. The drawdown of carbon can be directly measured in the river in real time.",org_1JCZX8EZR1S0B49J,CarbonRun,carbonrun.io,,75.156,75156,1.534,1534,76.69,76690,,,,, +iss_1KDNK479M1S0F973,2025-12-29T17:40:05.067920Z,prj_1JQEQKCF91S06HAJ,spl_1JPQG0XPF1S01KTD,NULIFE GreenTech utilizes patented Hydrothermal Liquefaction (HTL) technology to convert waste biomass into bio-oil. The bio-oil is injected underground for durable storage.,"NULIFE GreenTech is a scalable, decentralized BiCRS solution that not only enables permanent carbon removal but also directly addresses real waste management challenges. By converting waste biomass—which would otherwise decompose and release emissions—into carbon-rich bio-oil, NULIFE provides a sustainable alternative to traditional disposal methods. NULIFE’s modular HTL technology is highly flexible, processing a variety of engineered slurries containing both wet and dry organic wastes. The resulting bio-oil is transported for geological sequestration, ensuring permanent carbon removal. Additionally, NULIFE generates valuable co-products, including CO₂ gas and biochar, which can be leveraged for further carbon dioxide removal or to offset fossil fuels. The effluent water from the process can be recycled into the HTL system or repurposed to support regional water supply, enhancing sustainability.",org_1JPQFP4VR1S0R1RT,NULIFE GreenTech,nulifegreentech.com,,57.369,57369,1.171,1171,58.54,58540,,,,, +iss_1KD3NZKND1S0FH9R,2025-12-22T18:43:39.871165Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,2141.545,2141545,161.215,161215,2302.76,2302760,,,,, +iss_1KCW90YXR1S0FKX2,2025-12-19T21:42:32.684328Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,4443.447,4443447,90.923,90923,4534.37,4534370,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KCW1PEJB1S01796,2025-12-19T19:34:27.213385Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,2125.27,2125270,160.0,160000,2285.27,2285270,,,,, +iss_1KCSQVZYR1S0114X,2025-12-18T22:04:14.204251Z,prj_1K3S0527T1S0KYXT,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,48.539,48539,0.991,991,49.53,49530,,,,, +iss_1KCSQS1RJ1S0DX1Q,2025-12-18T22:02:37.775029Z,prj_1JFA3YY9P1S0YVKR,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,365.067,365067,7.453,7453,372.52,372520,,,,, +iss_1KCK6GD6F1S0F3QG,2025-12-16T09:05:22.152056Z,prj_1JXCRW5ST1S0EEKH,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,1241.807,1241807,25.343,25343,1267.15,1267150,,,,, +iss_1KCK6FN6W1S0M54H,2025-12-16T09:04:57.609102Z,prj_1JXCRW5ST1S0EEKH,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,1739.656,1739656,35.504,35504,1775.16,1775160,,,,, +iss_1KC9P98E11S07KVZ,2025-12-12T16:28:40.812068Z,prj_1H502CZZH1S0VMYW,spl_1H4RJ0NBR1S0JKNR,"Planetary Technologies add alkaline compounds to seawater to enhance the natural ability of seawater to absorb atmospheric carbon dioxide, storing the carbon in dissolved carbon-containing ions in the oceans.",Planetary removes carbon by adding finely ground alkaline feedstock to industrial outfalls that discharge into the ocean. This reduces ocean acidity and allows the ocean to naturally absorb more CO₂ from the atmosphere through air-sea gas exchange.,org_1H4RJ0NBR1S0YYT3,Planetary,planetarytech.com,,1477.82,1477820,30.16,30160,1507.98,1507980,CAN,Canada,44.666,-63.5676, +iss_1KBQW1E271S01GM9,2025-12-05T18:22:56.099876Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,431.971,431971,22.739,22739,454.71,454710,USA,United States of America,37.77,-122.42, +iss_1KB5R8GYP1S08TEH,2025-11-28T17:30:34.430833Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,3245.756,3245756,66.424,66424,3312.18,3312180,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1KB0D6QDW1S08XRC,2025-11-26T15:41:08.960024Z,prj_1JQEQKCF91S06HAJ,spl_1JPQG0XPF1S01KTD,NULIFE GreenTech utilizes patented Hydrothermal Liquefaction (HTL) technology to convert waste biomass into bio-oil. The bio-oil is injected underground for durable storage.,"NULIFE GreenTech is a scalable, decentralized BiCRS solution that not only enables permanent carbon removal but also directly addresses real waste management challenges. By converting waste biomass—which would otherwise decompose and release emissions—into carbon-rich bio-oil, NULIFE provides a sustainable alternative to traditional disposal methods. NULIFE’s modular HTL technology is highly flexible, processing a variety of engineered slurries containing both wet and dry organic wastes. The resulting bio-oil is transported for geological sequestration, ensuring permanent carbon removal. Additionally, NULIFE generates valuable co-products, including CO₂ gas and biochar, which can be leveraged for further carbon dioxide removal or to offset fossil fuels. The effluent water from the process can be recycled into the HTL system or repurposed to support regional water supply, enhancing sustainability.",org_1JPQFP4VR1S0R1RT,NULIFE GreenTech,nulifegreentech.com,,235.385,235385,4.805,4805,240.19,240190,,,,, +iss_1KA1F2XVP1S01R4X,2025-11-14T15:17:34.223182Z,prj_1JYCV03BW1S0RTE5,spl_1J6EQFMYF1S00KDE,Alt Carbon removes carbon dioxide from the atmosphere by accelerating earth’s natural carbon dioxide regulating mechanism - weathering.,"Alt Carbon is a deeptech science and data company, building agri-infrastructure for Planetary Intelligence. They aim to make South Asia a hub for Carbon Dioxide Removal (CDR) through technology pathways like Enhanced Rock Weathering. They work with farmers and scientists in the Global South, to turn underutilized land into carbon sinks and aim to unite climate action with cultural and ecological restoration — by reviving degraded soils, restoring livelihoods, and rebuilding ecosystems. Alt Carbon are rooted in science, powered by community, and driven by the belief that revivals require ambitious people and audacious bets.",org_1J6EQBDPF1S0S9P4,Alt Carbon,alt-carbon.com,,216.923,216923,4.427,4427,221.35,221350,,,,, +iss_1K987GRBH1S0KT4M,2025-11-04T20:04:17.939626Z,prj_1JQ775W7D1S0WYSA,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,313.57,313570,6.4,6400,319.97,319970,DEU,Germany,48.1351,11.582, +iss_1K932NYSS1S017PY,2025-11-02T20:03:33.350164Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,277.256,277256,14.594,14594,291.85,291850,USA,United States of America,37.77,-122.42, +iss_1K8TJJ9KE1S0KZ7A,2025-10-30T12:48:00.773788Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,3507.551,3507551,71.829,71829,3579.38,3579380,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1K754YW881S01WS5,2025-10-09T18:50:28.014913Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,158.076,158076,8.324,8324,166.4,166400,USA,United States of America,37.77,-122.42, +iss_1K6GGJDWT1S06FK3,2025-10-01T18:29:19.938262Z,prj_1H502CZZH1S0VMYW,spl_1H4RJ0NBR1S0JKNR,"Planetary Technologies add alkaline compounds to seawater to enhance the natural ability of seawater to absorb atmospheric carbon dioxide, storing the carbon in dissolved carbon-containing ions in the oceans.",Planetary removes carbon by adding finely ground alkaline feedstock to industrial outfalls that discharge into the ocean. This reduces ocean acidity and allows the ocean to naturally absorb more CO₂ from the atmosphere through air-sea gas exchange.,org_1H4RJ0NBR1S0YYT3,Planetary,planetarytech.com,,1165.857,1165857,23.793,23793,1189.65,1189650,CAN,Canada,44.666,-63.5676, +iss_1K6FYR68X1S0ZR6K,2025-10-01T13:17:54.390866Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,2367.825,2367825,178.265,178265,2546.09,2546090,,,,, +iss_1K6DWCG2Y1S0581E,2025-09-30T17:58:05.178300Z,prj_1JQEQKCF91S06HAJ,spl_1JPQG0XPF1S01KTD,NULIFE GreenTech utilizes patented Hydrothermal Liquefaction (HTL) technology to convert waste biomass into bio-oil. The bio-oil is injected underground for durable storage.,"NULIFE GreenTech is a scalable, decentralized BiCRS solution that not only enables permanent carbon removal but also directly addresses real waste management challenges. By converting waste biomass—which would otherwise decompose and release emissions—into carbon-rich bio-oil, NULIFE provides a sustainable alternative to traditional disposal methods. NULIFE’s modular HTL technology is highly flexible, processing a variety of engineered slurries containing both wet and dry organic wastes. The resulting bio-oil is transported for geological sequestration, ensuring permanent carbon removal. Additionally, NULIFE generates valuable co-products, including CO₂ gas and biochar, which can be leveraged for further carbon dioxide removal or to offset fossil fuels. The effluent water from the process can be recycled into the HTL system or repurposed to support regional water supply, enhancing sustainability.",org_1JPQFP4VR1S0R1RT,NULIFE GreenTech,nulifegreentech.com,,54.586,54586,1.114,1114,55.7,55700,,,,, +iss_1K6DS8NSB1S0CE2P,2025-09-30T17:03:34.329130Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,2867.54,2867540,58.79,58790,2926.33,2926330,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1K5XPYRDZ1S01XR9,2025-09-24T11:15:21.237412Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,128.62,128620,6.77,6770,135.39,135390,USA,United States of America,37.77,-122.42, +iss_1K4B0H3VF1S00JXE,2025-09-04T18:41:23.862394Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,544.823,544823,11.127,11127,555.95,555950,USA,United States of America,37.77,-122.42, +iss_1K3YDJ1BB1S0REHD,2025-08-30T21:18:58.000656Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,2730.419,2730419,55.911,55911,2786.33,2786330,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1K1V25P691S0BEJ0,2025-08-04T17:30:52.018476Z,prj_1JN6XNWDQ1S0BSN7,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,3.449,3449,0.071,71,3.52,3520,USA,United States of America,37.77,-122.42, +iss_1K1GRMN4Y1S0VQWK,2025-07-31T17:31:52.530716Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1322.54,1322540,27.1,27100,1349.64,1349640,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JZB25YAD1S000SZ,2025-07-04T15:51:45.810293Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,994.271,994271,20.299,20299,1014.57,1014570,USA,United States of America,37.77,-122.42, +iss_1JZ2M1G2B1S083RJ,2025-07-01T09:10:44.664605Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,694.773,694773,14.267,14267,709.04,709040,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JYSFMMG51S0RWTN,2025-06-27T20:00:38.988972Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,1737.349,1737349,130.801,130801,1868.15,1868150,,,,, +iss_1JXW6N77B1S05B02,2025-06-16T11:05:42.455463Z,prj_1H502CZZH1S0VMYW,spl_1H4RJ0NBR1S0JKNR,"Planetary Technologies add alkaline compounds to seawater to enhance the natural ability of seawater to absorb atmospheric carbon dioxide, storing the carbon in dissolved carbon-containing ions in the oceans.",Planetary removes carbon by adding finely ground alkaline feedstock to industrial outfalls that discharge into the ocean. This reduces ocean acidity and allows the ocean to naturally absorb more CO₂ from the atmosphere through air-sea gas exchange.,org_1H4RJ0NBR1S0YYT3,Planetary,planetarytech.com,,613.127,613127,12.513,12513,625.64,625640,CAN,Canada,44.666,-63.5676, +iss_1JX27HZND1S098R4,2025-06-06T09:01:09.808788Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,982.882,982882,20.068,20068,1002.95,1002950,USA,United States of America,37.77,-122.42, +iss_1JWH785KR1S0MRMS,2025-05-30T18:28:42.912887Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1130.224,1130224,23.246,23246,1153.47,1153470,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JTJESX391S0MQ2N,2025-05-06T09:28:34.988967Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1829.141,1829141,37.509,37509,1866.65,1866650,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JT406N8E1S0AA5N,2025-04-30T18:44:02.051068Z,prj_1JFA3YY9P1S0YVKR,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,19.717,19717,0.403,403,20.12,20120,,,,, +iss_1JT406N8E1S081VC,2025-04-30T18:44:01.983969Z,prj_1JFA3YY9P1S0YVKR,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,82.593,82593,1.687,1687,84.28,84280,,,,, +iss_1JS1XMG2X1S0E4M2,2025-04-17T13:04:59.271664Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,92.099,92099,1.881,1881,93.98,93980,USA,United States of America,37.77,-122.42, +iss_1JS1XMG2X1S0A4QZ,2025-04-17T13:04:59.065098Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,488.702,488702,9.978,9978,498.68,498680,USA,United States of America,37.77,-122.42, +iss_1JQRYV5H31S0V3C9,2025-04-01T15:17:14.590003Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1238.04,1238040,25.35,25350,1263.39,1263390,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JNF2SAPF1S0PW1Q,2025-03-03T22:42:20.891568Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,489.082,489082,36.828,36828,525.91,525910,,,,, +iss_1JNF2SAPF1S01V4A,2025-03-03T22:42:20.535071Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,699.322,699322,52.658,52658,751.98,751980,,,,, +iss_1JN615GRZ1S0D2D2,2025-02-28T10:20:52.955863Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,942.12,942120,19.3,19300,961.42,961420,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JMJX2HK81S0K6A9,2025-02-21T00:03:46.981115Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,241.792,241792,4.938,4938,246.73,246730,USA,United States of America,37.77,-122.42, +iss_1JJWBA5841S0M3HJ,2025-01-30T19:34:23.331149Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,190.635,190635,3.905,3905,194.54,194540,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JJWBA5841S0Y137,2025-01-30T19:34:22.789378Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,183.755,183755,3.765,3765,187.52,187520,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JG6F6CG01S0P4SX,2024-12-28T11:07:32.571157Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,841.038,841038,17.222,17222,858.26,858260,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JG4EHW071S0QCJG,2024-12-27T16:17:51.219920Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,802.084,802084,60.406,60406,862.49,862490,,,,, +iss_1JFTA2YD11S0V766,2024-12-23T17:47:23.581333Z,prj_1J7NQMR9V1S04P0D,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,230.819,230819,4.711,4711,235.53,235530,DEU,Germany,48.1351,11.582, +iss_1JF7EGFQ11S0J9VK,2024-12-16T09:59:07.339807Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1391.681,1391681,28.489,28489,1420.17,1420170,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JE49SVT51S01417,2024-12-02T18:23:26.635980Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,2204.31,2204310,45.13,45130,2249.44,2249440,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1JC4048KE1S0XZVQ,2024-11-07T19:02:57.950078Z,prj_1J4P33N6W1S0RKE2,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,80.832,80832,6.098,6098,86.93,86930,,,,, +iss_1JBA48V531S0RBBJ,2024-10-28T17:55:07.102793Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1169.97,1169970,23.95,23950,1193.92,1193920,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1J9C0ZMP91S03J83,2024-10-04T15:04:45.120445Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,835.158,835158,17.102,17102,852.26,852260,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1J6FR4ZJ61S02VQQ,2024-08-29T19:00:15.164252Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,1216.062,1216062,24.898,24898,1240.96,1240960,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1J5QB89FD1S0CJGB,2024-08-20T07:33:05.733829Z,prj_1HZSSWBQM1S08H83,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,105.065,105065,2.145,2145,107.21,107210,USA,United States of America,37.77,-122.42, +iss_1J531RY9W1S01G3V,2024-08-12T10:22:37.008556Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,826.626,826626,16.924,16924,843.55,843550,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1J2KTSN221S0E2M2,2024-07-12T16:00:40.126048Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,670.584,670584,13.726,13726,684.31,684310,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HV486YMS1S01YX0,2024-04-10T14:57:30.614326Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,330.132,330132,6.758,6758,336.89,336890,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HV486YMS1S0T042,2024-04-10T14:57:23.714951Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,721.314,721314,14.766,14766,736.08,736080,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0JY8D,2023-12-23T10:40:36.523391Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.703,5703,0.117,117,5.82,5820,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0QZNE,2023-12-23T10:40:36.434893Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.752,5752,0.118,118,5.87,5870,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0X12F,2023-12-23T10:40:36.352833Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.831,5831,0.119,119,5.95,5950,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S022FG,2023-12-23T10:40:36.270508Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.722,6722,0.138,138,6.86,6860,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S073WH,2023-12-23T10:40:36.185481Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.967,6967,0.143,143,7.11,7110,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0C59J,2023-12-23T10:40:36.103153Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.448,5448,0.112,112,5.56,5560,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0H6PK,2023-12-23T10:40:36.014978Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,7.271,7271,0.149,149,7.42,7420,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0P83M,2023-12-23T10:40:35.939832Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.929,5929,0.121,121,6.05,6050,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0V9GN,2023-12-23T10:40:35.842376Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,7.291,7291,0.149,149,7.44,7440,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S00AXP,2023-12-23T10:40:35.759210Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.526,6526,0.134,134,6.66,6660,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S05CAQ,2023-12-23T10:40:35.654363Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.036,6036,0.124,124,6.16,6160,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0ADQR,2023-12-23T10:40:35.570943Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.468,6468,0.132,132,6.6,6600,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0FF4S,2023-12-23T10:40:35.488697Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.909,5909,0.121,121,6.03,6030,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0MGHT,2023-12-23T10:40:35.415083Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,4.449,4449,0.091,91,4.54,4540,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0SHYV,2023-12-23T10:40:35.339861Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.242,6242,0.128,128,6.37,6370,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0YKBW,2023-12-23T10:40:35.263443Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.095,6095,0.125,125,6.22,6220,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S03MRX,2023-12-23T10:40:35.175247Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,8.457,8457,0.173,173,8.63,8630,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S08P5Y,2023-12-23T10:40:35.094017Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.213,6213,0.127,127,6.34,6340,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0DQJZ,2023-12-23T10:40:35.015076Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.242,6242,0.128,128,6.37,6370,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0JS00,2023-12-23T10:40:34.934915Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,5.243,5243,0.107,107,5.35,5350,USA,United States of America,29.728229835733384,-95.56960726715872, +iss_1HJB45W9G1S0QTD1,2023-12-23T10:40:34.850996Z,prj_1HHYZFVGW1S044ZY,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,6.174,6174,0.126,126,6.3,6300,USA,United States of America,29.728229835733384,-95.56960726715872, diff --git a/tests/data/isometric/projects.csv b/tests/data/isometric/projects.csv new file mode 100644 index 0000000..5220c38 --- /dev/null +++ b/tests/data/isometric/projects.csv @@ -0,0 +1,57 @@ +id,name,status,short_code,url,process_key,pathway,protocol_slug,country_code,validator_name,current_verifier_name,crediting_period_start,crediting_period_end,supplier.id,supplier.short_description,supplier.long_description,supplier.organisation.id,supplier.organisation.name,supplier.organisation.domain,supplier.location,issued_credits_total.credits,issued_credits_total.credit_kgs,retired_credits_total.credits,retired_credits_total.credit_kgs,issued_buffer_pool_credits_total.credits,issued_buffer_pool_credits_total.credit_kgs,retired_buffer_pool_credits_total.credits,retired_buffer_pool_credits_total.credit_kgs,location.country_code,location.country_name,location.latitude,location.longitude,location.description,location,supplier.location.country_code,supplier.location.country_name,supplier.location.latitude,supplier.location.longitude,supplier.location.description +prj_1K3VWSDS61S0QKV7,A Biochar Project at Satyapura,validated,TS26,https://to.isometric.com/prj_1K3VWSDS61S0QKV7,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,Enviance,Enviance,2025-11-27,2030-11-26,spl_1K3PCHYCA1S0VE66,"Equilibrium converts biomass to biochar, enabling rural livelihoods, regenerating degraded lands and enriching soil organic carbon in the region.","Equilibrium's BiCRS project converts invasive woody biomass, into durable biochar for long-term carbon sequestration. Using advanced pyrolysis technology, the project addresses critical environmental challenges, including land degradation and biodiversity loss. By diverting biomass from combustion and decay into a stable carbon form, the initiative delivers measurable climate benefits, enhances soil health, and supports sustainable rural livelihoods in one of India’s most water-stressed regions.",org_1K39J37JF1S0ADWM,Equilibrium,equilibriumearth.com,,1.47,1470,0.0,0,0.03,30,0.0,0,IND,India,27.0238,74.2179,"Rajasthan, India",,,,,, +prj_1KC8T0EGS1S0H36R,"“Agneerath” - Smallholder Biochar: Restoring Soil, Climate, and Community",under_validation,Y76J,https://to.isometric.com/prj_1KC8T0EGS1S0H36R,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,,Carbon Check,2026-01-01,2031-01-01,spl_1JW84N7721S0PCYD,Earthrevive is a CDR developer working with farmers across engineered removal pathways.,Earthrevive is a CDR developer working with farmers across engineered removal pathways.,org_1JW84N7721S0VEBE,Earthrevive Technologies Pvt. Ltd.,earthrevive.earth,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,19.7515,75.7139,Maharashtra,,,,,, +prj_1JTZ7NRK81S0GA0S,B10 - Brondal #1,under_validation,8WQK,https://to.isometric.com/prj_1JTZ7NRK81S0GA0S,biochar-process,biomass_carbon_removal_and_storage,biochar,ZAF,,Carbon Check,,,spl_1JT309WR61S0FTZR,B10 takes sawmill waste and turns it into high quality biochar for durable storage.,"B10 is a BiCRS company making use of sawmil waste that would otherwise be burned on the pile or left to decompose and Turing this waste into high quality biochar for long term storage. The final biochar is used in a variety of applications like agriculture, anaerobic digesters, mine reclamation where it's ultimately ending up in soil. ",org_1JRJQY5701S05G7J,B10,b10-char.com,,0.0,0,0.0,0,0.0,0,0.0,0,ZAF,South Africa,-30.5595,22.9375,South Africa,,,,,, +prj_1K4PWG5T01S0PWMF,Bharat Biochar Initiative,under_validation,3TBA,https://to.isometric.com/prj_1K4PWG5T01S0PWMF,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,,,2026-01-01,2030-12-31,spl_1JZAYNANJ1S00HJE,Bharat Biochar Initiative utilizes naturally fallen pine needles to produce biochar using continuous reactor technology.,"The Bharat Biochar Initiative is a BiCRS (Biochar Carbon Removal & Sequestration) solution. It takes naturally fallen pine needles from Uttarakhand, which would have otherwise contributed to forest fires, and repurposes them to create biochar. This process uses a continuous reactor technology to produce a carbon-rich substance for agricultural and environmental use. + +By doing so, the project mitigates wildfire risks, promotes carbon sequestration, and generates rural livelihoods.",org_1JZAY6Y1V1S05JZF,FusionPact,foresttwin.com,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,30.0668,79.0193,"Uttarakhand, India",,,,,, +prj_1KESD32TS1S0ZHGV,Burney Forest Power v1.2,under_validation,3YMF,https://to.isometric.com/prj_1KESD32TS1S0ZHGV,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,,350Solutions,2023-07-01,2028-07-01,spl_1K39AA58W1S0Q5G9,"Biochar Solutions uses non merchantable woody biomass to produce biochar for remediation, agricultural, and industrial applications that qualify for carbon removal.","Biochar Solutions manufactures and sell biochar for remediation, agricultural, and industrial applications. Biomass is sourced through high hazard biomass reduction projects, wood recycling programs, and other non merchantable woody biomass residuals streams. Biochar Solutions is also creating biochar based products for a number of different applications and industries that allows its customers to integrate biochar into their existing programs or processes without changes to equipment or procedure.",org_1K36W9D5V1S0YBHF,Biochar Solutions,biocharsolutions.com,,0.0,0,0.0,0,0.0,0,0.0,0,,,,,,,,,,, +prj_1JRZWM3BP1S071QG,Burnsville,under_validation,9Y8H,https://to.isometric.com/prj_1JRZWM3BP1S071QG,biochar-burial-process,biomass_carbon_removal_and_storage,biochar,USA,,350Solutions,2026-01-15,2031-01-15,spl_1HW7V7QDK1S0163K,Carba converts biomass to a stable solid carbon through pyrolysis and buries it underground in anoxic chambers for durable storage.,"Carba takes sustainably sourced waste biomass and efficiently converts it to a solid carbon charcoal devoid of food value. The solid carbon is then buried underground in anoxic chambers to protect it from oxidative and light-mediated degradation pathways. The process mimics the formation and storage of similar carbon structures in coal 300 million years ago, which have remained stable around the world. ",org_1HGXFBDKK1S0ZNAM,Carba,carba.com,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,44.7677,-93.2777,"Burnsville, MN",,,,,, +prj_1JYENJXB71S0CR1B,Capital Link's Berthoud Facility,under_validation,WPVN,https://to.isometric.com/prj_1JYENJXB71S0CR1B,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,,,2026-04-02,2026-04-03,spl_1JWDR6TPN1S0W2DT,CLG converts carbon-rich waste into high-grade biochar and carbon credits through industrial-scale pyrolysis.,"CLG runs an industrial-scale biochar facility, using low-oxygen vacuum pyrolysis to turn biomass and to durable carbon and verifiable carbon credits. CLG sources feedstock through public-private partnerships with government departments, reducing landfill use and wildfire risk. Syngas byproduct powers the facility, turning waste into power.",org_1JWDR1M5G1S0B6MX,Capital Link Green,capital.link,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,40.3083174,-105.0810924,"Berthoud, Colorado",,,,,, +prj_1JF8BBG921S010M4,Carboneers & Terrafront High Tech Biochar,under_validation,NYW2,https://to.isometric.com/prj_1JF8BBG921S010M4,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,,Carbon Check,,,spl_1JEXX4F1D1S0TN3V,Carboneers TF develops biochar projects and models in remote areas in the Global South.,"Carboneers and Terrafront Ventures collaboratively develop biochar projects by processing agricultural residues into biochar and heat. In the project the biochar will be charged with both compost and manure, and given back for free to the same farmer. The aggregation of biomass and distribution of biochar is a 360 degree model. The project will be with rice, cotton and maize farmers in the regions of Odisha, Assam, Nagaland.",org_1JEXWN3PM1S0KBCH,Carboneers,Carboneers.earth,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,26.4512,92.1058,,,NLD,Netherlands,52.377956,4.89707,"Amsterdam, Netherlands" +prj_1K48633C61S0WY58,CarbonZero.eco - Williams,under_validation,Z9PR,https://to.isometric.com/prj_1K48633C61S0WY58,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,,350Solutions,2026-07-01,2031-07-31,spl_1K473ARXN1S0D5MQ,CarbonZero.ECO partners with California farmers to convert orchard waste into durable carbon removal.,"CarbonZero.ECO operates Beston BST-50S pyrolysis systems that use a continuous rotary kiln design with an enclosed burn chamber. Biomass, such as almond shells, is heated in a low-oxygen environment, preventing combustion and converting the material into stable biochar. The process captures and reuses syngas for heat, improving efficiency and reducing emissions. This closed-loop system ensures consistent, high-quality biochar production while maximizing carbon retention and minimizing environmental impact.",org_1K4734APQ1S0J71R,CarbonZero,carbonzero.eco,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,39.1041,-122.2654,"Colusa County, CA",,,,,, +prj_1HZSSWBQM1S08H83,Charm Bio-oil Geologic Storage,validated,7BDE,https://to.isometric.com/prj_1HZSSWBQM1S08H83,bio-oil-process,biomass_carbon_removal_and_storage,bio-oil-geological-storage,USA,FuturePast,350Solutions,2024-03-01,2029-02-28,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,5376.03,5376030,3650.846,3650846,163.253,163253,0.0,0,USA,United States of America,30.916251,-92.297908,,,USA,United States of America,37.77,-122.42, +prj_1JN6XNWDQ1S0BSN7,Charm Range & Plains Biochar,validated,6TMZ,https://to.isometric.com/prj_1JN6XNWDQ1S0BSN7,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,350Solutions,350Solutions,2024-03-01,2029-03-01,spl_1H31MW3T81S0R67B,"Charm Industrial converts agricultural and forestry biomass residues into bio-oil via fast pyrolysis, and then injects the bio-oil into EPA-permitted injection wells to achieve storage of carbon on geological timescales.","Charm Industrial converts biomass residues (for example, corn stover, forestry residues) into bio-oil by heating the biomass quickly to very high temperatures. Charm uses woody or cellulosic residues in their pyrolysis and ensures that any emissions associated with growth or harvesting of this biomass are accounted for. This means waste biomass that would have otherwise decomposed is a preferred feedstock. The resulting bio-oil is low in energy content, but high in carbon content, and can be injected underground into geological storage reservoirs such as depleted oil & gas reservoirs, saline aquifers and salt caverns regulated by the US EPA. It is a highly viscous liquid which is denser than the surrounding formation fluid, and so will sink in the reservoir and risk of buoyancy/upward migration is low. The bio-oil polymerizes (solidifies) on an expected timescale between 2–20 years, rendering it effectively immobile within the subsurface and therefore durable on geological timescales.",org_1H31MW3MD1S04HBP,Charm Industrial,charmindustrial.com,,51.25,51250,3.449,3449,1.033,1033,0.0,0,USA,United States of America,37.966,-97.941,,,USA,United States of America,37.77,-122.42, +prj_1K2YPGE781S0A3Q0,Cocoa Biochar Carboneers,under_validation,CPC1,https://to.isometric.com/prj_1K2YPGE781S0A3Q0,distributed-biochar-process,biomass_carbon_removal_and_storage,biochar,GHA,,Carbon Check,2025-11-01,2030-11-01,spl_1JEXX4F1D1S0TN3V,Carboneers TF develops biochar projects and models in remote areas in the Global South.,"Carboneers and Terrafront Ventures collaboratively develop biochar projects by processing agricultural residues into biochar and heat. In the project the biochar will be charged with both compost and manure, and given back for free to the same farmer. The aggregation of biomass and distribution of biochar is a 360 degree model. The project will be with rice, cotton and maize farmers in the regions of Odisha, Assam, Nagaland.",org_1JEXWN3PM1S0KBCH,Carboneers,Carboneers.earth,,0.0,0,0.0,0,0.0,0,0.0,0,GHA,Ghana,7.9465,-1.0232,Ghana,,NLD,Netherlands,52.377956,4.89707,"Amsterdam, Netherlands" +prj_1K051N4HQ1S02170,Corigin-1: BioChar Q3-25,under_validation,CH3M,https://to.isometric.com/prj_1K051N4HQ1S02170,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,,350Solutions,2023-03-01,2030-07-01,spl_1JZ01TQT51S00PB6,Corigin operates a biorefinery that converts biomass into biochars for soil applications and bio-oils for underground injection from long term storage.,"Corigin is a carbon removal business that uses a proprietary biorefinery technology to continuous convert biomass wastes into biochars that increase soil fertility and bio-oils for permanent deep geologic storage. We've been operating a pilot plant in California's Central Valley for over 4-years. Key technology advantages are 80% product yield on biomass (1,000 KG converts into 830 Kg of product), continuous production, scalable to multiple tons/hour throughput, and feedstock agnostic - can process virtually any plant or manure-based waste.",org_1JZ01JGWZ1S0YE0X,Corigin,corigin.co,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,36.7783,-119.4179,California,,,,,, +prj_1JYCV03BW1S0RTE5,Darjeeling Revival: Alt x MOL,validated,E3D1,https://to.isometric.com/prj_1JYCV03BW1S0RTE5,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,IND,350Solutions,350Solutions,2024-10-01,2029-10-01,spl_1J6EQFMYF1S00KDE,Alt Carbon removes carbon dioxide from the atmosphere by accelerating earth’s natural carbon dioxide regulating mechanism - weathering.,"Alt Carbon is a deeptech science and data company, building agri-infrastructure for Planetary Intelligence. They aim to make South Asia a hub for Carbon Dioxide Removal (CDR) through technology pathways like Enhanced Rock Weathering. They work with farmers and scientists in the Global South, to turn underutilized land into carbon sinks and aim to unite climate action with cultural and ecological restoration — by reviving degraded soils, restoring livelihoods, and rebuilding ecosystems. Alt Carbon are rooted in science, powered by community, and driven by the belief that revivals require ambitious people and audacious bets.",org_1J6EQBDPF1S0S9P4,Alt Carbon,alt-carbon.com,,2986.72,2986720,0.0,0,59.735,59735,0.0,0,IND,India,20.5937,78.9629,"Terai region, India",,,,,, +prj_1JZJY8NY61S0RH07,Darjeeling Revival: Monsoon Harvest,validated,SD0E,https://to.isometric.com/prj_1JZJY8NY61S0RH07,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,IND,350Solutions,350Solutions,2024-10-01,2029-10-01,spl_1J6EQFMYF1S00KDE,Alt Carbon removes carbon dioxide from the atmosphere by accelerating earth’s natural carbon dioxide regulating mechanism - weathering.,"Alt Carbon is a deeptech science and data company, building agri-infrastructure for Planetary Intelligence. They aim to make South Asia a hub for Carbon Dioxide Removal (CDR) through technology pathways like Enhanced Rock Weathering. They work with farmers and scientists in the Global South, to turn underutilized land into carbon sinks and aim to unite climate action with cultural and ecological restoration — by reviving degraded soils, restoring livelihoods, and rebuilding ecosystems. Alt Carbon are rooted in science, powered by community, and driven by the belief that revivals require ambitious people and audacious bets.",org_1J6EQBDPF1S0S9P4,Alt Carbon,alt-carbon.com,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,20.5937,78.9629,"Terai region, India",,,,,, +prj_1JCZCRW2S1S06KN0,Darjeeling Revival Project,validation_unsuccessful,2A0D,https://to.isometric.com/prj_1JCZCRW2S1S06KN0,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,IND,Earthood,Earthood,,,spl_1J6EQFMYF1S00KDE,Alt Carbon removes carbon dioxide from the atmosphere by accelerating earth’s natural carbon dioxide regulating mechanism - weathering.,"Alt Carbon is a deeptech science and data company, building agri-infrastructure for Planetary Intelligence. They aim to make South Asia a hub for Carbon Dioxide Removal (CDR) through technology pathways like Enhanced Rock Weathering. They work with farmers and scientists in the Global South, to turn underutilized land into carbon sinks and aim to unite climate action with cultural and ecological restoration — by reviving degraded soils, restoring livelihoods, and rebuilding ecosystems. Alt Carbon are rooted in science, powered by community, and driven by the belief that revivals require ambitious people and audacious bets.",org_1J6EQBDPF1S0S9P4,Alt Carbon,alt-carbon.com,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,27.036007,88.262672,,,,,,, +prj_1HCHT9G2H1S05MYP,Deep Sky Alpha,validated,CCTF,https://to.isometric.com/prj_1HCHT9G2H1S05MYP,electrochemical-direct-air-capture,direct_air_capture,direct-air-capture,CAN,350Solutions,350Solutions,2025-08-02,2030-08-02,spl_1HCHMQ59A1S0YB7C,Deep Sky removes CO₂ through Direct Air Capture and sequesters it underground for durable storage.,"Deep Sky Alpha is a testing facility that evaluates the energy consumption, operability, and reliability of various direct air capture technologies under real-world conditions. The project encompasses the capture, liquefaction, transport, and sequestration of CO₂. CO₂ captured at Alpha is transported by road and sequestered off-site.",org_1HCHK0R5Y1S0APBQ,Deep Sky,deepskyclimate.com,,0.0,0,0.0,0,0.0,0,0.0,0,CAN,Canada,52.030589,-113.947993,"Innisfail, Alberta",,CAN,Canada,57.87731034400191,-101.53945144731158, +prj_1KFDNVSDZ1S0QA39,DMS Georgia,under_validation,J1AM,https://to.isometric.com/prj_1KFDNVSDZ1S0QA39,biomass-storage-subsurface-mines,biomass_carbon_removal_and_storage,subsurface-biomass,GEO,,Normec Verifavia,2025-03-01,2030-03-01,spl_1HXGZ55MM1S0XRBC,"Rewind leverages the natural ability of plants to capture CO₂, and the Black Sea to store it for thousands of years.","Rewind cleans CO₂ from the atmosphere by relocating residual plants to the deep Black Sea. This is a nature-based approach, as all rivers wash organic carbon out to sea, and the Black Sea is the world’s largest anoxic basin, naturally preserving carbon for thousands of years. Rewind is developing the science, certification, licensing policy, and MRV technology, to allow existing supply chains to transport and lock away gigaton-scale carbon within this decade.",org_1HW3AGK471S0WG6M,Rewind,rewind.earth,,0.0,0,0.0,0,0.0,0,0.0,0,GEO,Georgia,42.3154,43.3569,,,,,,, +prj_1K9W3ZCY71S0NRMS,Drobonso Carbon,under_validation,FZ80,https://to.isometric.com/prj_1K9W3ZCY71S0NRMS,biochar-process,biomass_carbon_removal_and_storage,biochar,GHA,,,2026-05-01,2042-05-01,spl_1JVPR1JK41S0DQ8S,"Nordic Carbons integrated biochar model makes a lasting impact on local communities, carbon sequestration and livelihoods across the world.","Nordic Carbon was founded on a mission to turn waste into value, both for the local communities and the global environment. They source biomass residues and establish strong local partnerships to ensure long-term viability. They tailor-make, efficient biochar systems to meet the technical cultural and environmental context locally; and build, install and operate complete carbon removal facilities optimized for performance, durability and transparency. + +With 20+ years of experience in the biomass industry from top management and operations, the team behind Nordic Carbon brings extensive expertise in sourcing, production, logistics, sustainability and commercialisation. ",org_1JVPR1JK41S0JRNT,Nordic Carbon Partners,nordiccarbon.dk,,0.0,0,0.0,0,0.0,0,0.0,0,GHA,Ghana,7.0642,1.124,,,,,,, +prj_1HHYZFVGW1S044ZY,Great Plains Organic Waste Sequestration,validated,01P4,https://to.isometric.com/prj_1HHYZFVGW1S044ZY,liquid-biomass-injection-process,biomass_carbon_removal_and_storage,biomass-geological-storage,USA,350Solutions,350Solutions,2023-08-21,2028-08-20,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,49439.85,49439850,12786.616,12786616,992.076,992076,0.0,0,USA,United States of America,37.96676121453887,-97.94108576138514,,,USA,United States of America,29.728229835733384,-95.56960726715872, +prj_1KCNW12WM1S0AY3D,Green Carbon - Kapadvanj Industrial Biochar,under_validation,A1JE,https://to.isometric.com/prj_1KCNW12WM1S0AY3D,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,,,2026-05-30,2031-05-30,spl_1KBMWD70R1S0VMYW,Green Carbon Inc looks to optimize biomass removal through scaled up and efficient biochar production and carbon removal as well as environmental additionality.,"Our projects use a high-efficiency pyrolysis processes to heat leftover biomass—an agricultural residue that is normally burned or left to decompose. This process converts the biomass into biochar, a stable, solid form of charcoal that resists decomposition and functions as long-term carbon storage. The resulting biochar is then composted into a ""Biofertilizer"" and applied back to the soil, which helps improve soil health.",org_1KBMVR0BE1S0BTPX,Green Carbon,green-carbon.co.jp,,0.0,0,0.0,0,0.0,0,0.0,0,,,,,,,,,,, +prj_1K3S0527T1S0KYXT,Hampton Roads WAE Project,validated,ZTF7,https://to.isometric.com/prj_1K3S0527T1S0KYXT,wastewater-alkalinity-enhancement-process,marine,wastewater-alkalinity-enhancement,USA,350Solutions,350Solutions,2025-07-01,2030-06-30,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,49.53,49530,0.0,0,0.991,991,0.0,0,USA,United States of America,37.4316,-78.6569,"Virginia, USA",,,,,, +prj_1K4SN1CT61S0NZ7N,Helix,validated,B42M,https://to.isometric.com/prj_1K4SN1CT61S0NZ7N,wastewater-alkalinity-enhancement-planeteers-process,marine,biogenic-capture-and-storage,DEU,Normec Verifavia,Normec Verifavia,2026-01-01,2030-12-31,spl_1JSQEE2D51S0GJ1K,"Planeteers captures CO₂, converts it into mineralised water, and stores it safely in the ocean.","Planeteers captures CO₂ in water and unleashes the potential of the oceans as the largest carbon sink on our planet. The lab-proven, fully-measurable, scalable, and multi-CO₂-source technology to capture and store CO₂ leverages the natural process of limestone weathering and accelerates it from thousands of years in nature to a few minutes with our reactor technology. The result of this chemical reaction is hydrogen carbonate which is stored in the ocean for a very long period (10,000+ years) and has a positive “healing”-effect to work against ocean acidification.",org_1JSQE725G1S07000,Planeteers,planeteers.de,,0.0,0,0.0,0,0.0,0,0.0,0,DEU,Germany,53.6082,9.6342,Wastewater Treatment Plant,,,,,, +prj_1JXCRW5ST1S0EEKH,Humboldt Sawmill Company (HSC),validated,HD88,https://to.isometric.com/prj_1JXCRW5ST1S0EEKH,biochar-boiler-forestry-process,biomass_carbon_removal_and_storage,biochar,USA,350Solutions,350Solutions,2025-06-01,2030-05-31,spl_1JWTY1R161S033FC,"Pacific Biochar modifies biomass power plants for biochar production, thus leveraging existing infrastructure, trained staff, and hard earned utility and procurement contracts.","Pacific Biochar is a pioneering company leading the charge in durable carbon removal through our innovative biochar production model. Committed to mitigating climate change while leaving a legacy of fertile soil, Pacific Biochar specializes in the production and distribution of high-quality biochar products designed to sequester carbon while enhancing agricultural and industrial productivity. Our unique model utilizes existing biomass power plant infrastructure to produce biochar, enabling rapid scaling potential with low capital investments. The partnerships we make with these bioenergy facilities result in cascading community benefits including wildfire risk reduction, rural job growth, and improved food security.",org_1JWTXAK4S1S0XWSY,Pacific Biochar,pacificbiochar.com,,4924.65,4924650,2221.0,2221000,98.495,98495,0.0,0,USA,United States of America,40.4837,-124.1028,"Scotia, CA",,,,,, +prj_1JVC6T3VR1S0AJ5P,INTERCARBO,under_validation,3VAJ,https://to.isometric.com/prj_1JVC6T3VR1S0AJ5P,biochar-forest-road-process,biomass_carbon_removal_and_storage,biochar,COG,,,2026-01-02,2031-01-02,spl_1JSEKMWXZ1S0R19Z,"Leading the large-scale, high-tech pyrolysis transformation of sawmill residues into enduring climate-positive biochar.","INTERCARBO is a carbon removal process that utilizes wood residues from sawmill operations to produce biochar through a pyrolysis process. This approach reduces carbon emissions and contributes to climate change mitigation. The resulting biochar not only sequesters carbon for extended periods but also improves soil health when applied to degraded or abandoned forest roads. By efficiently managing sawmill waste and integrating biochar production into sustainable forestry practices, the project supports carbon capture, soil restoration, and community resilience. As a BiCRS solution, the INTERCARBO aligns with global efforts to reduce atmospheric CO₂ and contributes to achieving net-zero emissions.",org_1JSEKJFWN1S0X2Q0,Interholco,interholco.com,,0.0,0,0.0,0,0.0,0,0.0,0,COG,Congo,1.428585,16.174901,Republic of Congo,,,,,, +prj_1JPMVNV6K1S0WWRZ,KARBOTECH one,under_validation,18FF,https://to.isometric.com/prj_1JPMVNV6K1S0WWRZ,biochar-process,biomass_carbon_removal_and_storage,biochar,CZE,,,2026-01-01,2031-12-31,spl_1JPMVGPBE1S097XA,"agriCARBON brings revolutionary innovation to agriculture, powered by biochar.","agriCARBON produces biochar from biomass residues left over after biogas production in agricultural biogas plants. Agricultural businesses use biochar as a soil amendment for soil regeneration and transition to sustainable farming. Thanks to our solution, the circularity of efficient use of primary resources in the renewable energy production cycle is closed.",org_1JPMVGPBE1S0E9AB,agriCARBON,a-carbon.eu,,0.0,0,0.0,0,0.0,0,0.0,0,CZE,Czechia,49.8175,15.473,Czechia,,,,,, +prj_1K39D0N8S1S0TMKX,Kvina River CDR Project,validated,XJ4Y,https://to.isometric.com/prj_1K39D0N8S1S0TMKX,river-alkalinity-enhancement-process,marine,river-alkalinity-enhancement,NOR,350Solutions,350Solutions,2025-05-15,2030-05-15,spl_1JFW0WS9H1S0GKKN,"CarbonRun is the first in the world to use a safe, proven river restoration approach to decrease river acidity in a way that also naturally delivers carbon to the ocean, preventing it from returning to the atmosphere. Rivers as a force for change.","Through river alkalinity enhancement (RAE), site-specific amounts of safe alkalinity material is added to rivers where it dissolves rapidly, converting the CO2 in the rivers into stable, beneficial bicarbonate as well as minerals like calcium and magnesium. Our process absorbs CO₂ from both the soil and atmosphere and re-establishes key ecological building blocks. The rivers naturally transport the bicarbonate to the ocean, and the permanence of the CDR is currently estimated to be in the 10,000s of years. The drawdown of carbon can be directly measured in the river in real time.",org_1JCZX8EZR1S0B49J,CarbonRun,carbonrun.io,,76.69,76690,22.0,22000,1.534,1534,0.0,0,NOR,Norway,58.3212,6.9668,Kvinesdal,,,,,, +prj_1K3MGXD4A1S0S3H8,La Perla,under_validation,RGQX,https://to.isometric.com/prj_1K3MGXD4A1S0S3H8,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,MEX,,Verifit,2025-03-12,2030-01-31,spl_1JPJSK7EV1S0JZTD,"Silica partners with Latin American farmers to apply volcanic rockdust on agricultural farmland, permanently removing atmospheric CO₂ while improving soil health and crop yields.","Silica removes atmospheric CO₂ by accelerating the Earth’s natural rock weathering cycle. We partner with farmers in Latin America to apply highly reactive volcanic rockdust to agricultural fields, permanently removing CO₂ while improving crop yields and building climate resilience. We are first focusing on tropical regions of Mexico, where conditions are naturally favorable for faster CO₂ removal and outsized agronomic benefits. ",org_1HF7TP2C41S024VT,Silica,silica.earth,,0.0,0,0.0,0,0.0,0,0.0,0,MEX,Mexico,18.7,-95.6333,"Veracruz, Mexico",,,,,, +prj_1J4P33N6W1S0RKE2,Loblolly Project,validated,V093,https://to.isometric.com/prj_1J4P33N6W1S0RKE2,biomass-burial,biomass_carbon_removal_and_storage,subsurface-biomass,USA,350Solutions,350Solutions,2024-08-18,2029-08-17,spl_1J30PJXHY1S09VH2,"Graphyte uses residual biomass to deliver carbon removal that is permanent, affordable, and immediately scalable.","Graphyte’s Carbon Casting approach leverages waste biomass to permanently remove carbon dioxide from the atmosphere. Graphyte processes biomass into stable carbon blocks that are encased in an impermeable, long-lasting polymer material. These carbon blocks are then stored in a purpose-built storage site with a robust MRV system. Carbon Casting prevents the carbon blocks from decomposing over a 1000+ year timescale, which ensures that the carbon stored in the biomass will not be released back into the atmosphere in the form of CO2 or methane.",org_1HH2PAT741S0AYY1,Graphyte,graphyte.com,,16605.5,16605500,5824.0,5824000,1162.633,1162633,0.0,0,USA,United States of America,34.29,-92.4257,,,,,,, +prj_1K9A90ZPH1S0ZJ9S,Miombo Renewal,under_validation,GG0F,https://to.isometric.com/prj_1K9A90ZPH1S0ZJ9S,reforestation-process,reforestation,reforestation,COD,,Ampere,2021-01-01,2070-12-31,spl_1K99QE48S1S0R1JG,Carbon Ventures Africa partners with local communities across the continent to restore native forests on deforested and degraded land.,"Carbon Ventures Africa is a nature-based carbon removal company working with local communities to restore degraded forest landscapes. Through native tree planting, assisted natural regeneration, and long-term forest protection, CVA converts degraded forest land into stable, biodiverse forests. These restored ecosystems capture and store atmospheric CO₂ in living biomass and soils for verified, durable carbon removal, monitored through field measurement and remote-sensing technologies.",org_1K99QE48S1S0X2ZH,Carbon Ventures Africa,carbonventures.africa,,0.0,0,0.0,0,0.0,0,0.0,0,COD,Democratic Republic of the Congo,-11.05,28.01,Miombo Woodlands,,,,,, +prj_1K09XZV1B1S023XT,Moser River,under_validation,7FPK,https://to.isometric.com/prj_1K09XZV1B1S023XT,river-alkalinity-enhancement-process,marine,river-alkalinity-enhancement,CAN,,350Solutions,,,spl_1JFW0WS9H1S0GKKN,"CarbonRun is the first in the world to use a safe, proven river restoration approach to decrease river acidity in a way that also naturally delivers carbon to the ocean, preventing it from returning to the atmosphere. Rivers as a force for change.","Through river alkalinity enhancement (RAE), site-specific amounts of safe alkalinity material is added to rivers where it dissolves rapidly, converting the CO2 in the rivers into stable, beneficial bicarbonate as well as minerals like calcium and magnesium. Our process absorbs CO₂ from both the soil and atmosphere and re-establishes key ecological building blocks. The rivers naturally transport the bicarbonate to the ocean, and the permanence of the CDR is currently estimated to be in the 10,000s of years. The drawdown of carbon can be directly measured in the river in real time.",org_1JCZX8EZR1S0B49J,CarbonRun,carbonrun.io,,0.0,0,0.0,0,0.0,0,0.0,0,CAN,Canada,45.0778,-63.5467,"Nova Scotia, Canada",,,,,, +prj_1K1T6SHXE1S0F3H4,MVC Biochar,under_validation,AYT7,https://to.isometric.com/prj_1K1T6SHXE1S0F3H4,biochar-process,biomass_carbon_removal_and_storage,biochar,CHL,,SGS India,2025-08-08,2030-08-08,spl_1K1T6MQR51S0VENF,"Carbono Capital transforms waste biomass into biochar, enriching soils, storing carbon, restoring ecosystems, and supporting rural livelihoods.","Carbono Capital provides a Carbon Removal (BiCRS) solution that transforms waste biomass into biochar through biogenic-fueled pyrolysis. Using off-grid kilns, the process produces a soil-enhancing material that, when blended with compost and applied to agricultural land, improves soil fertility, protects crop biodiversity, and strengthens food security for rural communities.",org_1K1T658DK1S0PY0X,Carbono Capital,carbono.capital,,0.0,0,0.0,0,0.0,0,0.0,0,CHL,Chile,-35.6751,-71.543,Chile,,,,,, +prj_1JFA3YY9P1S0YVKR,New England WAE Project,validated,X8KC,https://to.isometric.com/prj_1JFA3YY9P1S0YVKR,wastewater-alkalinity-enhancement-process,marine,wastewater-alkalinity-enhancement,USA,350Solutions,350Solutions,2023-07-11,2028-07-10,spl_1JFA2B4TV1S0B6R3,"CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems.","CREW removes carbon dioxide from the atmosphere via wastewater treatment systems, deploying fine-grained natural minerals like calcium carbonate in wastewater treatment systems. Onsite, the feedstock is transferred into CREW’s dosing systems, and is dosed into the wastewater treatment reactors as a slurry. CREW’s system controls the rate of dosing to optimize process benefits and CDR.",org_1JC30RXHE1S0VQHE,CREW Carbon,crewcarbon.com,,476.92,476920,166.0,166000,9.543,9543,0.0,0,USA,United States of America,41.28892135620117,-72.90184020996094,,,,,,, +prj_1H502CZZH1S0VMYW,Nova Scotia Mineral OAE Project,validated,F5X7,https://to.isometric.com/prj_1H502CZZH1S0VMYW,oae-planetary-process,marine,ocean-alkalinity-enhancement,CAN,350Solutions,350Solutions,2024-02-01,2029-01-31,spl_1H4RJ0NBR1S0JKNR,"Planetary Technologies add alkaline compounds to seawater to enhance the natural ability of seawater to absorb atmospheric carbon dioxide, storing the carbon in dissolved carbon-containing ions in the oceans.",Planetary removes carbon by adding finely ground alkaline feedstock to industrial outfalls that discharge into the ocean. This reduces ocean acidity and allows the ocean to naturally absorb more CO₂ from the atmosphere through air-sea gas exchange.,org_1H4RJ0NBR1S0YYT3,Planetary,planetarytech.com,,4853.6,4853600,1891.0,1891000,97.075,97075,0.0,0,CAN,Canada,45.0,-63.0,,,CAN,Canada,44.666,-63.5676, +prj_1JQEQKCF91S06HAJ,Ontario Avenue Bio-Oil Sequestration,validated,GHYZ,https://to.isometric.com/prj_1JQEQKCF91S06HAJ,bio-oil-process-nulife,biomass_carbon_removal_and_storage,bio-oil-geological-storage,CAN,Normec Verifavia,Normec Verifavia,2025-06-01,2030-06-01,spl_1JPQG0XPF1S01KTD,NULIFE GreenTech utilizes patented Hydrothermal Liquefaction (HTL) technology to convert waste biomass into bio-oil. The bio-oil is injected underground for durable storage.,"NULIFE GreenTech is a scalable, decentralized BiCRS solution that not only enables permanent carbon removal but also directly addresses real waste management challenges. By converting waste biomass—which would otherwise decompose and release emissions—into carbon-rich bio-oil, NULIFE provides a sustainable alternative to traditional disposal methods. NULIFE’s modular HTL technology is highly flexible, processing a variety of engineered slurries containing both wet and dry organic wastes. The resulting bio-oil is transported for geological sequestration, ensuring permanent carbon removal. Additionally, NULIFE generates valuable co-products, including CO₂ gas and biochar, which can be leveraged for further carbon dioxide removal or to offset fossil fuels. The effluent water from the process can be recycled into the HTL system or repurposed to support regional water supply, enhancing sustainability.",org_1JPQFP4VR1S0R1RT,NULIFE GreenTech,nulifegreentech.com,,626.29,626290,145.219,145219,12.529,12529,0.0,0,CAN,Canada,52.15301779641782,-106.66656492670393,HTL Conversion Site,,,,,, +prj_1JQ775W7D1S0WYSA,Project Araçari,validated,H2QE,https://to.isometric.com/prj_1JQ775W7D1S0WYSA,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,BRA,350Solutions,350Solutions,2024-08-01,2029-08-01,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,319.97,319970,0.0,0,6.4,6400,0.0,0,BRA,Brazil,-23.5558,-46.6396,"Sao Paolo, Brazil",,DEU,Germany,48.1351,11.582, +prj_1JZ0ZD3JN1S0SHW9,Project Cajueiro,validated,68X8,https://to.isometric.com/prj_1JZ0ZD3JN1S0SHW9,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,BRA,350Solutions,350Solutions,2024-07-19,2027-08-31,spl_1JWY4JWJK1S05RE6,Mombak removes carbon at scale in Brazil across two complementary pathways: reforesting the Amazon and spreading finely ground rock on agricultural soils.,"Mombak is a multi-pathway carbon removal company operating large-scale Reforestation and Enhanced Rock Weathering (ERW) projects in Brazil. Our reforestation program transforms degraded pasturelands into biodiverse carbon sinks through native species planting and assisted natural regeneration. We actively neutralize leakage from our project areas and guarantee 100-year durability through continuous satellite monitoring of our forests. Our ERW projects spread finely ground rock on agricultural soils, where it captures atmospheric CO₂ as stable bicarbonates stored in the ocean on geological timescales — while improving soil health and crop yields for farmers. Across both pathways, we apply rigorous MRV protocols to deliver transparent, science-based carbon removal at scale.",org_1JWY4JWJK1S0ASV7,Mombak,mombak.com,,46.94,46940,0.0,0,0.939,939,0.0,0,BRA,Brazil,-14.235,-51.9253,Maranhão,,,,,, +prj_1K10D531D1S0DEV9,Project Carcará,validated,E8NE,https://to.isometric.com/prj_1K10D531D1S0DEV9,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,BRA,350Solutions,350Solutions,2024-04-29,2029-04-29,spl_1JWGBNCEC1S0PNGQ,"Terradot accelerates the natural process of rock weathering by spreading crushed silicate rock on farmland, permanently removing atmospheric CO₂ while enhancing soil health.","Terradot accelerates the natural process of rock weathering by applying finely ground silicate rock to tropical agricultural soils. Once applied, the rock dissolves in the presence of moisture and acidity, releasing base cations like calcium and magnesium that react with carbon dioxide in the soil to form bicarbonate, a stable form of carbon that is then safely transported through water systems to the ocean. This process ultimately shifts atmospheric CO₂ into the ocean’s long-term carbon cycle, where it remains sequestered for hundreds of thousands of years.",org_1JWGBGQ291S0D3F4,Terradot,terradot.earth,,204.95,204950,0.0,0,4.099,4099,0.0,0,BRA,Brazil,-23.988161,-51.389236,,,,,,, +prj_1K21RKWYX1S0NWN6,Project Dourado,validated,D74G,https://to.isometric.com/prj_1K21RKWYX1S0NWN6,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,BRA,350Solutions,350Solutions,2025-02-10,2030-02-10,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,0.0,0,0.0,0,0.0,0,0.0,0,BRA,Brazil,-20.4649,-54.6218,The State of Mato Grosso do Sul,,DEU,Germany,48.1351,11.582, +prj_1JQCK4WZX1S0ANXP,Project Juniper,cancelled,E9MP,https://to.isometric.com/prj_1JQCK4WZX1S0ANXP,electrochemical-direct-air-capture-with-mineralization,direct_air_capture,direct-air-capture,USA,,350Solutions,,,spl_1JJXVJ35P1S0P0BS,"Clairity captures atmospheric CO₂ using a low-cost and abundant sorbent, enabling sequestration or utilization of captured CO₂.","Clairity develops DAC technology which use low-cost and abundant alkali salts to remove CO₂ from the atmosphere. Atmospheric air is blown over a composite sorbent material that removes both CO₂ and H₂O, resulting in a process that is not only carbon negative but also water positive. Once saturated, the composite sorbent is heated to a low-temperature, regenerating the sorbent and releasing CO₂ and H₂O. The output CO₂ stream from Clairtiy's process can be sequestered or utilized across a range of pathways, enabling flexibility on storage to increase project deployments.",org_1JJXVE1RA1S07CX5,Clairity,clairitytech.com,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,36.2137,-115.1771,,,,,,, +prj_1JWX91R5E1S00PN0,Project Nandani,under_validation,PZDR,https://to.isometric.com/prj_1JWX91R5E1S00PN0,biochar-process,biomass_carbon_removal_and_storage,biochar,IND,,Enviance,2026-03-08,2031-03-08,spl_1JSHTPPG11S0ZR1Z,Ground Up is revolutionising Indian agriculture through industrial hubs of biochar production that restore soil health and deliver durable carbon removal.,"Ground Up is building industrial-scale biochar production hubs across India. By leveraging organised agricultural networks, like sugar cultivation, Ground Up creates scalable supply chains for biomass acquisition and biochar distribution, alongside streamlined MRV processes that ensure traceability and impact. The company uses indigenous pyrolysis technology—designed and manufactured in India—making this an India-first solution to carbon removal at scale. Ground Up works with hundreds of thousands of farmers and employs proprietary application protocols to maximise the agronomic benefits of its biochar-based products. ",org_1JSHT5XRT1S0P60C,Ground Up,ground-up.in,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,19.7515,75.7139,Maharashtra,,,,,, +prj_1J7NQMR9V1S04P0D,Project Serra da Mantiqueira,validated,EN4R,https://to.isometric.com/prj_1J7NQMR9V1S04P0D,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,BRA,EcoEngineers,350Solutions,2023-05-30,2028-05-29,spl_1HW7TJTRT1S0QM20,InPlanet enables farmers in the tropics to remove atmospheric CO₂ and move toward more sustainable agricultural practices.,"InPlanet works closely with farmers in the tropics to restore their soils and help them to transition to a low carbon, sustainable and nature-based agriculture. InPlanet do this through the deployment and scaling of Enhanced Weathering using locally sourced rocks that are optimal for CDR and regenerating nutrient-depleted soils.",org_1HF7TMNVX1S0768V,InPlanet,inplanet.earth,,389.42,389420,81.025,81025,7.789,7789,0.0,0,BRA,Brazil,-22.4149,-47.5651,,,DEU,Germany,48.1351,11.582, +prj_1K1GX4BDK1S0FZVC,Project Tapir,under_validation,6E5N,https://to.isometric.com/prj_1K1GX4BDK1S0FZVC,biochar-process,biomass_carbon_removal_and_storage,biochar,CRI,,EPIC Sustainability,2025-09-01,2030-09-01,spl_1K096RJAD1S0AVNC,"Gigafex helps palm oil mills turn waste biomass into biochar and high-quality, scientifically verifiable carbon removal credits. They design and operate proprietary, patent-pending pyrolysis reactors that are purpose-built for EFB biomass.","Gigafex captures carbon by converting agricultural waste, specifically pressed empty fruit bunches from palm oil production, into stable biochar using proprietary pyrolysis reactors located onsite. Their key partner, Coopeagropal, supplies a steady, traceable stream of this biomass, minimizing transport emissions. The biochar is then applied to nearby plantations to improve soil health and store carbon safely. The project aims to remove over 6,000 tonnes of CO₂ annually, with rigorous monitoring to ensure transparency and durability.",org_1JZJ6QD0P1S04E9V,Gigafex,gigafex.com,,0.0,0,0.0,0,0.0,0,0.0,0,CRI,Costa Rica,9.7489,-83.7534,Costa Rica,,,,,, +prj_1JQ76PQZX1S04S93,Reforesting Degraded Appalachian Mine and Agricultural Lands,under_validation,XDVS,https://to.isometric.com/prj_1JQ76PQZX1S04S93,reforestation-process,reforestation,reforestation,USA,,,2026-12-31,2064-12-31,spl_1JKG9W7P11S0BJZ8,"Living Carbon revitalizes Appalachia by transforming severely degraded mine lands and marginal farmland into thriving, biodiverse forests.","Living Carbon revitalizes Appalachia by transforming severely degraded mine lands and marginal farmland into thriving, biodiverse forests. Combining cutting-edge science and innovative reforestation, Living Carbon turn scarred landscapes into high-value environmental assets — restoring ecosystems, and supporting local communities in a historically underserved region of the United States.",org_1JKDVWB9H1S0944K,Living Carbon,livingcarbon.com,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,39.0,-83.0,,,USA,United States of America,37.7749,-122.4194, +prj_1KA95092G1S093EM,Reforesting the Brazilian Amazon Project 1,under_validation,84R7,https://to.isometric.com/prj_1KA95092G1S093EM,reforestation-process,reforestation,reforestation,BRA,,SCS Global Services,2023-03-31,2073-03-30,spl_1JWY4JWJK1S05RE6,Mombak removes carbon at scale in Brazil across two complementary pathways: reforesting the Amazon and spreading finely ground rock on agricultural soils.,"Mombak is a multi-pathway carbon removal company operating large-scale Reforestation and Enhanced Rock Weathering (ERW) projects in Brazil. Our reforestation program transforms degraded pasturelands into biodiverse carbon sinks through native species planting and assisted natural regeneration. We actively neutralize leakage from our project areas and guarantee 100-year durability through continuous satellite monitoring of our forests. Our ERW projects spread finely ground rock on agricultural soils, where it captures atmospheric CO₂ as stable bicarbonates stored in the ocean on geological timescales — while improving soil health and crop yields for farmers. Across both pathways, we apply rigorous MRV protocols to deliver transparent, science-based carbon removal at scale.",org_1JWY4JWJK1S0ASV7,Mombak,mombak.com,,0.0,0,0.0,0,0.0,0,0.0,0,BRA,Brazil,-2.07597,-47.473073,Pará,,,,,, +prj_1JKR5RQG81S0Y2CZ,Seoni Enhanced Rock Weathering Project,under_validation,ZGXN,https://to.isometric.com/prj_1JKR5RQG81S0Y2CZ,enhanced-weathering-process,enhanced_weathering,enhanced-weathering-agriculture,IND,,Earthood,2024-03-01,2029-03-01,spl_1J82BZ1QF1S02XC1,Mati durably removes carbon using enhanced rock weathering in smallholder farmer fields across global south countries delivering co-benefits and climate adaptation support to these farmers.,"Mati Carbon is an enhanced rock weathering (ERW) solution, that uses mafic rocks like Basalt to make rock dust that is spread in smallholder farmer fields. This rock dust reacts with CO₂ and water in agricultural fields converting to bicarbonates, and durably removing CO₂ from the atmosphere in the process. During the ERW reaction, the dissolution process releases micronutrients like Ca, Mg, Si, Zn into the soil. These micronutrients, rejuvenate the soil, improving crop health and productivity. + +Mati Carbon collects soil and liquid samples from crop fields to run advanced analytical techniques for determining the carbon removal that has occurred in the fields from a particular deployment",org_1HF7TNMD01S0EG05,Mati,mati.earth,,0.0,0,0.0,0,0.0,0,0.0,0,IND,India,22.05505,79.33347,India,,,,,, +prj_1K6G4S1PJ1S0TR4Z,Sifuri Halisi TZ001-B,under_validation,KMK9,https://to.isometric.com/prj_1K6G4S1PJ1S0TR4Z,biochar-process,biomass_carbon_removal_and_storage,biochar,TZA,,Ampere,2025-12-15,2030-12-14,spl_1K5F2E7HP1S0BYJ2,Dark Earth Carbon is an East Africa-based carbon removal company focused on high-quality biochar production.,"Dark Earth Carbon is an East Africa–based carbon removal company deploying high-temperature pyrolysis systems to transform low-value biomass residues into durable biochar. Their continuous rotary kilns are engineered for tropical conditions, achieving high throughput and stable carbon yields with minimal energy loss. Each facility integrates advanced digital MRV for real-time carbon accounting and traceable registry issuance, ensuring transparent, verifiable removals. Dark Earth Carbon’s technology delivers reliable, low-cost carbon sequestration with strong agronomic and environmental co-benefits, enhancing soils, supporting regenerative agriculture, and advancing climate resilience in emerging markets.",org_1K5F2E7HP1S0GZZ3,Dark Earth Carbon,darkearthcarbon.com,,0.0,0,0.0,0,0.0,0,0.0,0,TZA,United Republic of Tanzania,6.369,34.8888,,,,,,, +prj_1K7HK8Q4S1S0D4W4,TIRE Project,under_validation,B9B1,https://to.isometric.com/prj_1K7HK8Q4S1S0D4W4,liquid-biomass-injection-process,biomass_carbon_removal_and_storage,biomass-geological-storage,USA,,350Solutions,2026-01-09,2031-01-09,spl_1H43SYY631S0Z8YR,Vaulted takes biomass and with minimal processing is able to inject it underground for durable storage.,"Vaulted is a BiCRS solution, taking end-of-life organic waste that otherwise would have decomposed, and geologically sequestering the waste for storage. Vaulted secures a range of end-of-life organic wastes (including biosolids, livestock and agricultural waste, paper sludge, and others) through sustainable sourcing practices, and deploys slurry injection technology to geologically sequester these wastes for the purpose of permanent carbon removal.",org_1H43SYY631S0BM33,Vaulted Deep,vaulteddeep.com,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,33.744635,-118.262743,Wastewater Treatment Plant,,USA,United States of America,29.728229835733384,-95.56960726715872, +prj_1JQEW95GA1S0D2FD,Treehouse Plant 1,under_validation,QVP9,https://to.isometric.com/prj_1JQEW95GA1S0D2FD,biochar-process,biomass_carbon_removal_and_storage,biochar,USA,,OmnexFuturepast,2026-04-01,2031-04-01,spl_1JPQD8EW91S0KESK,"Sitos turns biomass into highly durable biochar—made by growers, used by growers—to store carbon, enrich soils, and build a more regenerative future. ","Sitos Group is a BiCRS solution, converting biomass into high-quality biochar through advanced slow pyrolysis technology. This process thermally decomposes biomass in a low-oxygen environment, stabilizing carbon that would have otherwise returned to the atmosphere. The resulting biochar is used by farmers to enhance soil health, improve water retention, and boost crop yields—all while ensuring durable carbon removal. Made by growers, used by growers, Sitos Group closes the loop on agricultural waste, transforming it into a long-term climate and soil solution.",org_1JPQCTQKC1S09WR0,Sitos Group,sitos.earth,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,35.7688,-119.2471,"Delano, CA",,,,,, +prj_1JYDZZ4MS1S0MF77,U.S. Agroforestry & Reforestation using Long-term Leases,under_validation,1R8P,https://to.isometric.com/prj_1JYDZZ4MS1S0MF77,reforestation-process,reforestation,reforestation,USA,,EcoEngineers,2022-03-27,2062-03-27,spl_1JV57MBN81S09WQB,Propagate is an agroforestry and reforestation developer that partners with farmers and landowners across the eastern United States to grow trees on agricultural land.,"Propagate is an agroforestry and reforestation developer that partners with farmers and landowners across the eastern United States to grow trees on agricultural land. Propagate’s technical service staff has over 40 years of collective experience advising on agroforestry projects across over 30,000 acres across pre-planning, planning, design, site-leasing, site preparation, planting, and monitoring. ",org_1JV57FRSR1S0EY4C,Propagate,propagateag.com,,0.0,0,0.0,0,0.0,0,0.0,0,USA,United States of America,38.3749,-83.4905,,,,,,, diff --git a/tests/data/isometric/retirements.csv b/tests/data/isometric/retirements.csv new file mode 100644 index 0000000..49e85c4 --- /dev/null +++ b/tests/data/isometric/retirements.csv @@ -0,0 +1,101 @@ +retirement_id,retired_at,purposes,url,notes,beneficiary.id,beneficiary.name,beneficiary.domain,owner.id,owner.name,owner.domain,credit_batch_size_total.credits,credit_batch_size_total.credit_kgs,project_id,sequestered_on +ret_1KNSQMD6Z1S0TB50,2026-04-09T18:21:22.047712Z,['public_environmental_claims'],https://to.isometric.com/ret_1KNSQMD6Z1S0TB50,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,531.0,531000,prj_1HHYZFVGW1S044ZY,2026-01-22 +ret_1KNQPB6541S05H5K,2026-04-08T23:20:22.583953Z,['corporate_targets'],https://to.isometric.com/ret_1KNQPB6541S05H5K,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,220.0,220000,prj_1HHYZFVGW1S044ZY,2026-01-10 +ret_1KNHJ2ENB1S0KHVB,2026-04-06T14:10:15.365352Z,['corporate_targets'],https://to.isometric.com/ret_1KNHJ2ENB1S0KHVB,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,36.0,36000,prj_1JQEQKCF91S06HAJ,2026-01-22 +ret_1KNHHZQMP1S0C841,2026-04-06T14:08:46.247894Z,['corporate_targets'],https://to.isometric.com/ret_1KNHHZQMP1S0C841,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,5.0,5000,prj_1H502CZZH1S0VMYW,2026-03-15 +ret_1KN2VK6KR1S0YTXH,2026-03-31T21:08:04.878824Z,['corporate_targets'],https://to.isometric.com/ret_1KN2VK6KR1S0YTXH,,org_1H31N46E91S06YTY,Shopify,shopify.com,org_1H31N46E91S06YTY,Shopify,shopify.com,700.0,700000,prj_1HHYZFVGW1S044ZY,2025-11-19 +ret_1KN2VFPNZ1S0B61W,2026-03-31T21:06:10.253964Z,['corporate_targets'],https://to.isometric.com/ret_1KN2VFPNZ1S0B61W,,org_1H31N46E91S06YTY,Shopify,shopify.com,org_1H31N46E91S06YTY,Shopify,shopify.com,23.0,23000,prj_1JQEQKCF91S06HAJ,2026-03-03 +ret_1KN2V3KA61S0QH67,2026-03-31T20:59:33.601549Z,['corporate_targets'],https://to.isometric.com/ret_1KN2V3KA61S0QH67,,org_1H31N46E91S06YTY,Shopify,shopify.com,org_1H31N46E91S06YTY,Shopify,shopify.com,9.0,9000,prj_1K39D0N8S1S0TMKX,2025-09-15 +ret_1KN2TXNA41S03WAJ,2026-03-31T20:56:19.029070Z,['corporate_targets'],https://to.isometric.com/ret_1KN2TXNA41S03WAJ,,org_1H31N46E91S06YTY,Shopify,shopify.com,org_1H31N46E91S06YTY,Shopify,shopify.com,182.0,182000,prj_1H502CZZH1S0VMYW,2025-12-11 +ret_1KN2AVTBN1S0WYXB,2026-03-31T16:15:41.450315Z,['public_environmental_claims'],https://to.isometric.com/ret_1KN2AVTBN1S0WYXB,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,50.0,50000,prj_1H502CZZH1S0VMYW,2026-03-15 +ret_1KMZP3TAK1S0SBJ9,2026-03-30T15:34:34.687870Z,[],https://to.isometric.com/ret_1KMZP3TAK1S0SBJ9,,org_1KGN8G1S31S02KQY,Kieran Lewko,,org_1KGN8G1S31S02KQY,Kieran Lewko,,0.019,19,prj_1JQEQKCF91S06HAJ,2025-11-07 +ret_1KMNNWDKE1S0XAYH,2026-03-26T18:18:07.926033Z,['other'],https://to.isometric.com/ret_1KMNNWDKE1S0XAYH,https://stripe.com/climate/orders (climorder_0PzbwXh6OxB7c9ARoDn9myJr),org_1KKMGR1791S02W5G,"Convert Insights, Inc.",convert.com,org_1H31N48RD1S0BFFG,Stripe,stripe.com,1.131,1131,prj_1HZSSWBQM1S08H83,2025-09-30 +ret_1KMKF4H8J1S066T1,2026-03-25T21:41:44.919132Z,['corporate_targets'],https://to.isometric.com/ret_1KMKF4H8J1S066T1,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,0.004,4,prj_1HZSSWBQM1S08H83,2026-03-02 +ret_1KMK2Q8Q21S0F6QR,2026-03-25T18:04:47.301265Z,['other'],https://to.isometric.com/ret_1KMK2Q8Q21S0F6QR,https://stripe.com/climate/orders (climorder_1Pt4aS00V51Cn46fh30u8qYa),org_1J7GCR0V31S0SCD0,CaptureNow,capturenow.ai,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.015,15,prj_1HHYZFVGW1S044ZY,2024-06-06 +ret_1KMK2Q0FV1S0M84S,2026-03-25T18:04:38.823251Z,['other'],https://to.isometric.com/ret_1KMK2Q0FV1S0M84S,https://stripe.com/climate/orders (climorder_0QJvmoh6OxB7c9ARgGNZXaY7),org_1KKMGR1791S02W5G,"Convert Insights, Inc.",convert.com,org_1H31N48RD1S0BFFG,Stripe,stripe.com,1.125,1125,prj_1HZSSWBQM1S08H83,2025-08-25 +ret_1KMK2PY3W1S0S9HT,2026-03-25T18:04:36.383561Z,['other'],https://to.isometric.com/ret_1KMK2PY3W1S0S9HT,https://stripe.com/climate/orders (climorder_1Pt4YL00V51Cn46fDyRre39I),org_1J7GCR0V31S0SCD0,CaptureNow,capturenow.ai,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.01,10,prj_1HZSSWBQM1S08H83,2025-08-25 +ret_1KMK2PMSA1S0FQG7,2026-03-25T18:04:26.850639Z,['other'],https://to.isometric.com/ret_1KMK2PMSA1S0FQG7,https://stripe.com/climate/orders (climorder_1QVej0LmBySdFHuowBR0joif),org_1KMEAKQAC1S03EPF,Say Yup B.V.,sayyup.nl,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.317,317,prj_1HZSSWBQM1S08H83,2025-08-25 +ret_1KMGRSA0V1S0486F,2026-03-24T20:32:39.474699Z,['public_environmental_claims'],https://to.isometric.com/ret_1KMGRSA0V1S0486F,"Retired on behalf of DocuSign, Inc. for fiscal year 2026 emissions.",org_1KMGRPG4V1S01ZW6,"DocuSign, Inc.",docusign.com,org_1JJBWK9H71S0GKTS,Patch,patch.io,224.0,224000,prj_1HHYZFVGW1S044ZY,2024-06-06 +ret_1KMGD1K7D1S06XZA,2026-03-24T17:07:28.177134Z,['other'],https://to.isometric.com/ret_1KMGD1K7D1S06XZA,https://stripe.com/climate/orders (climorder_1PGBFrJNwp5zbN4vV1tuMWVK),org_1KMEAKCRE1S0MV7V,Edwin Rodgers,,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.016,16,prj_1HZSSWBQM1S08H83,2025-08-25 +ret_1KMEARTFG1S0F92B,2026-03-23T21:49:14.663577Z,['other'],https://to.isometric.com/ret_1KMEARTFG1S0F92B,https://stripe.com/climate/orders (climorder_1RNbhgHH9qbe5diw4dwxeEfv),org_1KMEAKBDY1S0SWMW,Sara Deneault Levesque,,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.006,6,prj_1HHYZFVGW1S044ZY,2026-01-05 +ret_1KMDR1DZ41S09PQM,2026-03-23T16:21:53.865688Z,['corporate_targets'],https://to.isometric.com/ret_1KMDR1DZ41S09PQM,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,698.7,698700,prj_1HZSSWBQM1S08H83,2026-02-25 +ret_1KMDMSCDZ1S0T7ZQ,2026-03-23T15:25:04.344459Z,['public_environmental_claims'],https://to.isometric.com/ret_1KMDMSCDZ1S0T7ZQ,,org_1JB984Q9X1S02YY3,MaRS,marsdd.com,org_1JB984Q9X1S02YY3,MaRS,marsdd.com,21.2,21200,prj_1JQEQKCF91S06HAJ,2025-09-05 +ret_1KMDMQFRV1S06K42,2026-03-23T15:24:02.229986Z,['public_environmental_claims'],https://to.isometric.com/ret_1KMDMQFRV1S06K42,,org_1JB984Q9X1S02YY3,MaRS,marsdd.com,org_1JB984Q9X1S02YY3,MaRS,marsdd.com,5.0,5000,prj_1H502CZZH1S0VMYW,2025-08-26 +ret_1KM6K9PE21S0BNY7,2026-03-20T21:44:20.754404Z,['other'],https://to.isometric.com/ret_1KM6K9PE21S0BNY7,https://stripe.com/climate/orders (climorder_0S2uDZh6OxB7c9ARySvIr226),org_1KKMGR1791S02W5G,"Convert Insights, Inc.",convert.com,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.928,928,prj_1HHYZFVGW1S044ZY,2026-01-05 +ret_1KM3S3D5V1S085JM,2026-03-19T19:28:02.774866Z,['corporate_targets'],https://to.isometric.com/ret_1KM3S3D5V1S085JM,To address unabated operational emissions for JPMorganChase’s global footprint for 2025-2026,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1H4ZWSABJ1S0Q4AA,Carbon Direct,carbon-direct.com,1250.0,1250000,prj_1J4P33N6W1S0RKE2,2025-11-13 +ret_1KKMGTV841S054FS,2026-03-13T21:14:57.251138Z,['other'],https://to.isometric.com/ret_1KKMGTV841S054FS,https://stripe.com/climate/orders (climorder_0QAUXsh6OxB7c9ARG1xsSAxN),org_1KKMGR1791S02W5G,"Convert Insights, Inc.",convert.com,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.892,892,prj_1HHYZFVGW1S044ZY,2026-01-05 +ret_1KKKSFQ9A1S0JEXV,2026-03-13T14:26:55.443898Z,['other'],https://to.isometric.com/ret_1KKKSFQ9A1S0JEXV,On behalf of McKinsey & Company's 2025 GHG emissions,org_1HGGCN1ZR1S0CWQG,McKinsey & Company,mckinsey.com,org_1HGGCN1ZR1S0CWQG,McKinsey & Company,mckinsey.com,1109.0,1109000,prj_1HHYZFVGW1S044ZY,2025-11-14 +ret_1KJQGXZE51S038RS,2026-03-02T14:58:41.251872Z,['corporate_targets'],https://to.isometric.com/ret_1KJQGXZE51S038RS,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,21.0,21000,prj_1HHYZFVGW1S044ZY,2026-01-02 +ret_1KJJDKSRF1S0P0FK,2026-02-28T15:24:29.906455Z,['corporate_targets'],https://to.isometric.com/ret_1KJJDKSRF1S0P0FK,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,41.296,41296,prj_1HZSSWBQM1S08H83,2025-11-07 +ret_1KJG6C72Y1S0KFE8,2026-02-27T18:39:32.470873Z,['public_environmental_claims'],https://to.isometric.com/ret_1KJG6C72Y1S0KFE8,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,52.0,52000,prj_1HHYZFVGW1S044ZY,2026-01-08 +ret_1KJG3WQS01S0ZVHV,2026-02-27T17:56:08.174487Z,['corporate_targets'],https://to.isometric.com/ret_1KJG3WQS01S0ZVHV,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,160.0,160000,prj_1HHYZFVGW1S044ZY,2026-01-02 +ret_1KHW75WF91S0W69G,2026-02-20T00:28:44.996400Z,['public_environmental_claims'],https://to.isometric.com/ret_1KHW75WF91S0W69G,"Retirement of environmental credits on behalf of Figma, Inc.",org_1K97Y6RQT1S0PC8P,Figma,figma.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,75.0,75000,prj_1HHYZFVGW1S044ZY,2025-12-09 +ret_1KHK2BXBZ1S0PA2B,2026-02-16T11:11:29.788739Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KHK2BXBZ1S0PA2B,Retirement of environmental credits on behalf of Samsara Inc.,org_1JGMDA6021S0MB9K,Samsara Inc.,samsara.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,300.0,300000,prj_1HHYZFVGW1S044ZY,2025-09-30 +ret_1KGTNBGE01S0EMV6,2026-02-06T23:42:18.641088Z,"['corporate_targets', 'public_environmental_claims']",https://to.isometric.com/ret_1KGTNBGE01S0EMV6,Retirement of environmental credits on behalf of Samsara Inc.,org_1JGMDA6021S0MB9K,Samsara Inc.,samsara.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,86.0,86000,prj_1JXCRW5ST1S0EEKH,2025-09-30 +ret_1KGN57ZZC1S0YEKE,2026-02-04T20:24:34.087819Z,['public_environmental_claims'],https://to.isometric.com/ret_1KGN57ZZC1S0YEKE,Union Square Ventures 2025 emissions,org_1KGN539SJ1S03G0F,Union Square Ventures,usv.com,org_1HSZXW3C41S0FT03,Wren,wren.co,58.0,58000,prj_1JXCRW5ST1S0EEKH,2025-09-30 +ret_1KGFM7CZS1S0W53Y,2026-02-02T16:50:56.680338Z,['public_environmental_claims'],https://to.isometric.com/ret_1KGFM7CZS1S0W53Y,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,28.0,28000,prj_1HHYZFVGW1S044ZY,2025-12-27 +ret_1KGFBVZE71S0EQ38,2026-02-02T14:24:53.778363Z,['corporate_targets'],https://to.isometric.com/ret_1KGFBVZE71S0EQ38,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,11.0,11000,prj_1HHYZFVGW1S044ZY,2025-12-12 +ret_1KGAE05XH1S0TA30,2026-01-31T16:25:56.580334Z,['corporate_targets'],https://to.isometric.com/ret_1KGAE05XH1S0TA30,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,86.0,86000,prj_1HHYZFVGW1S044ZY,2025-12-12 +ret_1KG0Q1BRH1S0HZ8J,2026-01-27T21:51:29.409818Z,['other'],https://to.isometric.com/ret_1KG0Q1BRH1S0HZ8J,https://stripe.com/climate/orders,org_1K6K2HREN1S0TECF,Coatue,coatue.com,org_1H31N48RD1S0BFFG,Stripe,stripe.com,30.0,30000,prj_1HHYZFVGW1S044ZY,2023-11-02 +ret_1KFY4XAAR1S0BBTF,2026-01-26T21:56:12.333084Z,"['corporate_targets', 'public_environmental_claims']",https://to.isometric.com/ret_1KFY4XAAR1S0BBTF,"Retirement of environmental credits on behalf of Dayforce US, Inc.",org_1KFY4SQ101S0NEMH,"Dayforce US, Inc.",dayforce.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,75.0,75000,prj_1HHYZFVGW1S044ZY,2025-09-09 +ret_1KFPJYVEJ1S0H5MR,2026-01-23T23:27:47.194334Z,['public_environmental_claims'],https://to.isometric.com/ret_1KFPJYVEJ1S0H5MR,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,3.0,3000,prj_1K39D0N8S1S0TMKX,2025-09-15 +ret_1KFP28NV31S00W6N,2026-01-23T18:36:03.410237Z,['corporate_targets'],https://to.isometric.com/ret_1KFP28NV31S00W6N,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,9.0,9000,prj_1K39D0N8S1S0TMKX,2025-09-15 +ret_1KFM4XP2S1S0NXY3,2026-01-23T00:44:00.023877Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4XP2S1S0NXY3,"Retirement of environmental credits on behalf of Match Group Holdings I, LLC",org_1KF4HEZZ11S09ZTA,"Match Group Holdings I, LLC",match.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,30.0,30000,prj_1HHYZFVGW1S044ZY,2025-09-05 +ret_1KFM4VCAK1S0TZB4,2026-01-23T00:42:44.561187Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4VCAK1S0TZB4,Retirement of environmental credits on behalf of Samsara Inc.,org_1JGMDA6021S0MB9K,Samsara Inc.,samsara.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,31.0,31000,prj_1HHYZFVGW1S044ZY,2025-09-05 +ret_1KFM4RYJ01S000R5,2026-01-23T00:41:24.862312Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4RYJ01S000R5,Retirement of environmental credits on behalf of Wise Payments Ltd,org_1K06XBK2P1S0KCS4,Wise Payments Ltd,wise.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,31.0,31000,prj_1HHYZFVGW1S044ZY,2025-09-04 +ret_1KFM4P7S41S05256,2026-01-23T00:39:56.017006Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4P7S41S05256,"Retirement of environmental credits on behalf of Zendesk, Inc.",org_1JFDXFTP31S0K25K,"Zendesk, Inc.",zendesk.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,65.0,65000,prj_1HHYZFVGW1S044ZY,2025-08-04 +ret_1KFM4M33Y1S0A3J7,2026-01-23T00:38:45.726271Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4M33Y1S0A3J7,"Retirement of environmental credits on behalf of Skims Body, Inc.",org_1JES6QEVZ1S0RR9M,"Skims Body, Inc.",skims.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,39.0,39000,prj_1HHYZFVGW1S044ZY,2025-07-09 +ret_1KFM4HNAH1S0F4Z8,2026-01-23T00:37:26.059898Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4HNAH1S0F4Z8,Retirement of environmental credits on behalf of Canva Pty Ltd,org_1KF4GYRYY1S0JB2J,Canva Pty Ltd,canva.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,32.0,32000,prj_1HHYZFVGW1S044ZY,2025-07-09 +ret_1KFM4FGGH1S0M6C9,2026-01-23T00:36:15.583619Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4FGGH1S0M6C9,"Retirement of environmental credits on behalf of Aledade, Inc.",org_1KF4GPJ551S0WYN3,"Aledade, Inc.",aledade.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,75.0,75000,prj_1HHYZFVGW1S044ZY,2025-07-08 +ret_1KFM4A3E61S0S7SA,2026-01-23T00:33:18.359071Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KFM4A3E61S0S7SA,Retirement of environmental credits on behalf of Skyscanner Limited,org_1JGYRMJ681S0VT9A,Skyscanner Limited,skyscanner.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,31.0,31000,prj_1HHYZFVGW1S044ZY,2025-04-17 +ret_1KFJZYDGV1S0EMSW,2026-01-22T13:57:46.689111Z,['corporate_targets'],https://to.isometric.com/ret_1KFJZYDGV1S0EMSW,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,1.0,1000,prj_1K39D0N8S1S0TMKX,2025-09-15 +ret_1KF4HG0CX1S04YD9,2026-01-16T23:15:52.382299Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4HG0CX1S04YD9,"Retirement of environmental credits on behalf of Match Group Holdings I, LLC",org_1KF4HEZZ11S09ZTA,"Match Group Holdings I, LLC",match.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,1.0,1000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4HCTG41S0PAYN,2026-01-16T23:14:08.073528Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4HCTG41S0PAYN,Retirement of environmental credits on behalf of Samsara Inc.,org_1JGMDA6021S0MB9K,Samsara Inc.,samsara.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,1.0,1000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4HB25D1S0CRX2,2026-01-16T23:13:10.379572Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4HB25D1S0CRX2,Retirement of environmental credits on behalf of Wise Payments Ltd,org_1K06XBK2P1S0KCS4,Wise Payments Ltd,wise.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,1.0,1000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4H8RP11S0HTA3,2026-01-16T23:11:55.134217Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4H8RP11S0HTA3,"Retirement of environmental credits on behalf of Zendesk, Inc.",org_1JFDXFTP31S0K25K,"Zendesk, Inc.",zendesk.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,3.0,3000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4H67K11S0PVQ4,2026-01-16T23:10:32.095363Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4H67K11S0PVQ4,"Retirement of environmental credits on behalf of Skims Body, Inc.",org_1JES6QEVZ1S0RR9M,"Skims Body, Inc.",skims.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,2.0,2000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4H0MWM1S0MKCV,2026-01-16T23:07:29.114916Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4H0MWM1S0MKCV,Retirement of environmental credits on behalf of Canva Pty Ltd,org_1KF4GYRYY1S0JB2J,Canva Pty Ltd,canva.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,1.0,1000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KF4GRSEE1S0Z6ZC,2026-01-16T23:03:11.634176Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4GRSEE1S0Z6ZC,"Retirement of environmental credits on behalf of Aledade, Inc.",org_1KF4GPJ551S0WYN3,"Aledade, Inc.",aledade.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,5.0,5000,prj_1JFA3YY9P1S0YVKR,2025-03-31 +ret_1KF4GJ9QH1S099SE,2026-01-16T22:59:38.941632Z,"['public_environmental_claims', 'corporate_targets']",https://to.isometric.com/ret_1KF4GJ9QH1S099SE,Retirement of environmental credits on behalf of Skyscanner Limited.,org_1JGYRMJ681S0VT9A,Skyscanner Limited,skyscanner.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,1.0,1000,prj_1JFA3YY9P1S0YVKR,2025-03-31 +ret_1KEW9ARTC1S07CJ8,2026-01-13T18:19:16.724295Z,['corporate_targets'],https://to.isometric.com/ret_1KEW9ARTC1S07CJ8,Retired on behalf of Marsh,org_1KEW92PD11S0547Z,Marsh,marsh.com,org_1JJBWK9H71S0GKTS,Patch,patch.io,385.0,385000,prj_1J4P33N6W1S0RKE2,2025-07-09 +ret_1KED8DW0M1S0ADGD,2026-01-07T22:14:53.246278Z,['other'],https://to.isometric.com/ret_1KED8DW0M1S0ADGD,"Voluntary, campaign-specific compensation of marketing emissions, undertaken as a discretionary sustainability action rather than to meet regulatory, insetting, or formal corporate climate target requirements.",org_1JGYRMJ681S0VT9A,Skyscanner Limited,skyscanner.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,2.0,2000,prj_1JQEQKCF91S06HAJ,2025-10-30 +ret_1KECX793H1S0PMBK,2026-01-07T18:59:02.972315Z,['corporate_targets'],https://to.isometric.com/ret_1KECX793H1S0PMBK,Retirement of environmental credits on behalf of Yelp Inc.,org_1KECX0MSR1S0D2A0,Yelp Inc.,yelp.com,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,77.0,77000,prj_1JXCRW5ST1S0EEKH,2025-09-30 +ret_1KE7NQBPC1S0V49J,2026-01-05T18:11:49.117105Z,['public_environmental_claims'],https://to.isometric.com/ret_1KE7NQBPC1S0V49J,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,120.0,120000,prj_1HHYZFVGW1S044ZY,2025-12-10 +ret_1KE7J0T391S0MX2E,2026-01-05T17:07:04.463500Z,['corporate_targets'],https://to.isometric.com/ret_1KE7J0T391S0MX2E,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,67.0,67000,prj_1HHYZFVGW1S044ZY,2025-11-12 +ret_1KE7HYJNB1S0186S,2026-01-05T17:05:51.319221Z,['corporate_targets'],https://to.isometric.com/ret_1KE7HYJNB1S0186S,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,0.711,711,prj_1HZSSWBQM1S08H83,2025-10-27 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Inc.",org_1K97SSV471S01HJY,Block,block.xyz,org_1HYG3DJYK1S0NQKY,Watershed,watershedclimate.com,2000.0,2000000,prj_1JXCRW5ST1S0EEKH,2025-07-31 +ret_1KCSW2Y2P1S01FYW,2025-12-18T23:17:55.973266Z,['public_environmental_claims'],https://to.isometric.com/ret_1KCSW2Y2P1S01FYW,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,16.0,16000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KCSTYVKT1S0AWR2,2025-12-18T22:58:13.795155Z,['corporate_targets'],https://to.isometric.com/ret_1KCSTYVKT1S0AWR2,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,7.0,7000,prj_1JFA3YY9P1S0YVKR,2025-11-30 +ret_1KCSSJ60K1S0JCQ1,2025-12-18T22:33:49.945361Z,['corporate_targets'],https://to.isometric.com/ret_1KCSSJ60K1S0JCQ1,,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,org_1HGZ5BGYF1S0GH3H,JPMorganChase,jpmorganchase.com,49.0,49000,prj_1JFA3YY9P1S0YVKR,2025-11-30 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+ret_1KCHJPHFR1S0D1FN,2025-12-15T17:59:57.232972Z,['other'],https://to.isometric.com/ret_1KCHJPHFR1S0D1FN,https://stripe.com/climate/orders,org_1KCHJ8AAT1S0638D,Shams Hanna,,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.002,2,prj_1HHYZFVGW1S044ZY,2023-10-24 +ret_1KCHJJB8S1S01QW8,2025-12-15T17:57:39.810337Z,['other'],https://to.isometric.com/ret_1KCHJJB8S1S01QW8,https://stripe.com/climate/orders,org_1KCHJAZTR1S0FNA0,Quang Nguyen,,org_1H31N48RD1S0BFFG,Stripe,stripe.com,24.421,24421,prj_1HHYZFVGW1S044ZY,2023-10-23 +ret_1KC7MDWB61S0CCXM,2025-12-11T21:17:46.292371Z,['other'],https://to.isometric.com/ret_1KC7MDWB61S0CCXM,https://stripe.com/climate/orders,org_1KC55NQTR1S0YVTW,Own Your Beliefs Inc.,ownyourbeliefs.org,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.481,481,prj_1HHYZFVGW1S044ZY,2023-10-23 +ret_1KC7MB9TS1S0HEAN,2025-12-11T21:16:21.776882Z,['other'],https://to.isometric.com/ret_1KC7MB9TS1S0HEAN,https://stripe.com/climate/orders,org_1KC55CVZD1S06PAN,DeliverOne,deliverone.de,org_1H31N48RD1S0BFFG,Stripe,stripe.com,0.871,871,prj_1HHYZFVGW1S044ZY,2023-10-23 +ret_1KC7M5QAA1S0PFQP,2025-12-11T21:13:18.980761Z,['other'],https://to.isometric.com/ret_1KC7M5QAA1S0PFQP,https://stripe.com/climate/orders,org_1J7GCR0V31S0SCD0,CaptureNow,capturenow.ai,org_1H31N48RD1S0BFFG,Stripe,stripe.com,1.0,1000,prj_1HHYZFVGW1S044ZY,2023-10-23 +ret_1KC7M18271S0M7DD,2025-12-11T21:10:52.304730Z,['other'],https://to.isometric.com/ret_1KC7M18271S0M7DD,https://stripe.com/climate/orders,org_1KC7M0GRJ1S0HZ34,Stanford University,stanford.edu,org_1H31N48RD1S0BFFG,Stripe,stripe.com,1.0,1000,prj_1HHYZFVGW1S044ZY,2023-10-23 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S.L.,org_1KBG9D2BK1S0YQX8,Typeform S.L.,typeform.com,org_1JJBWK9H71S0GKTS,Patch,patch.io,12.0,12000,prj_1HZSSWBQM1S08H83,2025-08-15 +ret_1KBDMBWXP1S0ZH2R,2025-12-01T18:56:26.079043Z,['corporate_targets'],https://to.isometric.com/ret_1KBDMBWXP1S0ZH2R,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,0.541,541,prj_1HZSSWBQM1S08H83,2025-09-30 +ret_1KBDM8EV71S04JFS,2025-12-01T18:54:33.377660Z,['corporate_targets'],https://to.isometric.com/ret_1KBDM8EV71S04JFS,,org_1HYG2QS8H1S0EDWM,Workday,workday.com,org_1HYG2QS8H1S0EDWM,Workday,workday.com,88.0,88000,prj_1HHYZFVGW1S044ZY,2025-11-10 +ret_1KBDDYAFF1S0EAS1,2025-12-01T17:04:09.746769Z,['corporate_targets'],https://to.isometric.com/ret_1KBDDYAFF1S0EAS1,,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,org_1HYZ70ENR1S0R56M,Autodesk,autodesk.co.uk,49.0,49000,prj_1HHYZFVGW1S044ZY,2025-10-21 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-7,6 +7,10 @@ The script downloads small slices of each registry's raw files and writes them as plain CSV into tests/data/. Requires S3 read access. + +Note: Cercarbono and Isometric data live in the scratch bucket + (s3://carbonplan-scratch/offsets-db-test/raw/) until promoted + to the production bucket (s3://carbonplan-offsets-db/raw/). """ import argparse @@ -17,12 +21,14 @@ import s3fs BASE_S3 = 's3://carbonplan-offsets-db/raw' +SCRATCH_S3 = 's3://carbonplan-scratch/offsets-db-test/raw' OUT_DIR = Path(__file__).parent.parent / 'data' def main(date: str) -> None: fs = s3fs.S3FileSystem(anon=False) base = f'{BASE_S3}/{date}' + scratch_base = f'{SCRATCH_S3}/{date}' print(f'Refreshing sample data from {base}') # ── Verra ───────────────────────────────────────────────────────────────── @@ -75,6 +81,22 @@ def main(date: str) -> None: df.to_csv(out, index=False) print(f' {out.relative_to(OUT_DIR.parent)} ({len(df)} rows)') + # ── Cercarbono (scratch bucket) ──────────────────────────────────────────── + print(f'Refreshing Cercarbono from {scratch_base}') + for key in ('projects', 'issuances', 'retirements'): + _csv( + f'{scratch_base}/cercarbono/{key}.csv.gz', + OUT_DIR / 'cercarbono' / f'{key}.csv', + ) + + # ── Isometric (scratch bucket) ───────────────────────────────────────────── + print(f'Refreshing Isometric from {scratch_base}') + for key in ('projects', 'issuances', 'retirements'): + _csv( + f'{scratch_base}/isometric/{key}.csv.gz', + OUT_DIR / 'isometric' / f'{key}.csv', + ) + print('Done.') diff --git a/tests/test_cercarbono.py b/tests/test_cercarbono.py new file mode 100644 index 0000000..b669226 --- /dev/null +++ b/tests/test_cercarbono.py @@ -0,0 +1,119 @@ +"""Unit tests for Cercarbono transformation functions. + +All tests use real sample data from tests/data/ via conftest fixtures. +""" + +from unittest.mock import patch + +import pandas as pd + +from offsets_db_data.cercarbono import ( + add_cercarbono_project_id, + add_cercarbono_project_url, + process_cercarbono_credits, + process_cercarbono_projects, +) +from offsets_db_data.models import credit_without_id_schema, project_schema + +# ── add_cercarbono_project_id ────────────────────────────────────────────────── + + +def test_add_cercarbono_project_id(subtests, raw_cercarbono_projects): + result = add_cercarbono_project_id(raw_cercarbono_projects, prefix='CCB') + + with subtests.test('prefix_added'): + assert result['project_id'].str.startswith('CCB').all() + with subtests.test('numeric_suffix'): + assert result['project_id'].str[3:].str.isnumeric().all() + with subtests.test('original_ids_preserved'): + original = raw_cercarbono_projects['id'].astype(str) + assert (result['project_id'].str[3:] == original).all() + + +# ── add_cercarbono_project_url ───────────────────────────────────────────────── + + +def test_add_cercarbono_project_url(subtests, raw_cercarbono_projects): + # Mirror pipeline state: rename 'code' -> 'project_id' before URL is built + df = raw_cercarbono_projects.rename(columns={'code': 'project_id'}).copy() + result = add_cercarbono_project_url(df) + + base = 'https://www.ecoregistry.io/projects/' + with subtests.test('url_column_exists'): + assert 'project_url' in result.columns + with subtests.test('url_base'): + assert result['project_url'].str.startswith(base).all() + with subtests.test('url_contains_code'): + suffix = result['project_url'].str.removeprefix(base) + assert (suffix == raw_cercarbono_projects['code']).all() + + +# ── process_cercarbono_credits ───────────────────────────────────────────────── + + +def test_process_cercarbono_credits(subtests, raw_cercarbono_issuances, raw_cercarbono_retirements): + cases = [ + (raw_cercarbono_issuances, 'issuances', 'issuance'), + (raw_cercarbono_retirements, 'retirements', 'retirement'), + ] + for df, download_type, expected_type in cases: + with subtests.test(download_type=download_type): + result = process_cercarbono_credits( + df, download_type=download_type, harmonize_beneficiary_info=False + ) + credit_without_id_schema.validate(result) + assert result['project_id'].str.startswith('CCB').all() + assert (result['transaction_type'] == expected_type).all() + assert (result['quantity'] >= 0).all() + assert pd.api.types.is_datetime64_any_dtype(result['transaction_date']) + + +# ── process_cercarbono_projects ──────────────────────────────────────────────── + + +def test_process_cercarbono_projects( + subtests, raw_cercarbono_projects, raw_cercarbono_issuances, raw_cercarbono_retirements +): + credits = pd.concat( + [ + process_cercarbono_credits( + raw_cercarbono_issuances, + download_type='issuances', + harmonize_beneficiary_info=False, + ), + process_cercarbono_credits( + raw_cercarbono_retirements, + download_type='retirements', + harmonize_beneficiary_info=False, + ), + ] + ) + result = process_cercarbono_projects(raw_cercarbono_projects, credits=credits) + + with subtests.test('schema'): + project_schema.validate(result) + with subtests.test('project_id_prefix'): + assert result['project_id'].str.startswith('CCB').all() + with subtests.test('registry'): + assert (result['registry'] == 'cercarbono').all() + with subtests.test('project_url_format'): + assert result['project_url'].str.startswith('https://www.ecoregistry.io/projects/').all() + with subtests.test('is_compliance_dtype'): + assert result['is_compliance'].dtype == bool + + +# ── harmonize_beneficiary_data mock ─────────────────────────────────────────── + + +@patch('offsets_db_data.cercarbono.harmonize_beneficiary_data') +def test_process_cercarbono_credits_harmonize_beneficiary( + mock_harmonize, raw_cercarbono_retirements +): + """harmonize_beneficiary_info=True invokes harmonize_beneficiary_data.""" + mock_harmonize.side_effect = lambda df, **_: df + process_cercarbono_credits( + raw_cercarbono_retirements, + download_type='retirements', + harmonize_beneficiary_info=True, + ) + mock_harmonize.assert_called_once() diff --git a/tests/test_integration.py b/tests/test_integration.py index 967a532..5fd2b80 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -1,13 +1,17 @@ +import ast + import pandas as pd import pytest from offsets_db_data.apx import * # noqa: F403 from offsets_db_data.arb import * # noqa: F403 +from offsets_db_data.cercarbono import * # noqa: F403 from offsets_db_data.gld import * # noqa: F403 +from offsets_db_data.isometric import * # noqa: F403 from offsets_db_data.models import credit_without_id_schema, project_schema from offsets_db_data.vcs import * # noqa: F403 -# `date` and `bucket` fixtures are provided by conftest.py +# `date`, `bucket`, and `scratch_bucket` fixtures are provided by conftest.py # `arb` fixture is provided by conftest.py (processes raw_arb from local sample) @@ -15,7 +19,7 @@ 'harmonize_beneficiary_info', [True, False], ) -def test_verra(date, bucket, arb, harmonize_beneficiary_info): +def test_verra(subtests, date, bucket, arb, harmonize_beneficiary_info): prefix = 'VCS' projects = pd.read_csv(f'{bucket}/{date}/verra/projects.csv.gz') credits = pd.read_csv(f'{bucket}/{date}/verra/transactions.csv.gz') @@ -23,13 +27,18 @@ def test_verra(date, bucket, arb, harmonize_beneficiary_info): arb=arb[arb.project_id.str.startswith(prefix)], harmonize_beneficiary_info=harmonize_beneficiary_info, ) - assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) df_projects = projects.process_vcs_projects(credits=df_credits) - project_schema.validate(df_projects) - credit_without_id_schema.validate(df_credits) - assert df_projects['project_id'].str.startswith(prefix).all() - assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() @pytest.mark.parametrize( @@ -40,7 +49,7 @@ def test_verra(date, bucket, arb, harmonize_beneficiary_info): ('climate-action-reserve', ['issuances', 'retirements', 'cancellations'], 'CAR'), ], ) -def test_apx(date, bucket, arb, registry, download_types, prefix): +def test_apx(subtests, date, bucket, arb, registry, download_types, prefix): dfs = [] for key in download_types: credits = pd.read_csv(f'{bucket}/{date}/{registry}/{key}.csv.gz') @@ -50,46 +59,52 @@ def test_apx(date, bucket, arb, registry, download_types, prefix): dfs.append(p) df_credits = pd.concat(dfs).merge_with_arb(arb=arb[arb.project_id.str.startswith(prefix)]) - credit_without_id_schema.validate(df_credits) - - assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) - projects = pd.read_csv(f'{bucket}/{date}/{registry}/projects.csv.gz') df_projects = projects.process_apx_projects(credits=df_credits, registry_name=registry) - project_schema.validate(df_projects) - assert df_projects['project_id'].str.startswith(prefix).all() - assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() @pytest.mark.parametrize( 'harmonize_beneficiary_info', [True, False], ) -def test_gld(date, bucket, harmonize_beneficiary_info): +def test_gld(subtests, date, bucket, harmonize_beneficiary_info): registry = 'gold-standard' - download_types = ['issuances', 'retirements'] prefix = 'GLD' dfs = [] - for key in download_types: + for key in ('issuances', 'retirements'): credits = pd.read_csv(f'{bucket}/{date}/{registry}/{key}.csv.gz') - p = credits.process_gld_credits( - download_type=key, harmonize_beneficiary_info=harmonize_beneficiary_info + dfs.append( + credits.process_gld_credits( + download_type=key, harmonize_beneficiary_info=harmonize_beneficiary_info + ) ) - dfs.append(p) df_credits = pd.concat(dfs) - credit_without_id_schema.validate(df_credits) - - assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) - projects = pd.read_csv(f'{bucket}/{date}/{registry}/projects.csv.gz') df_projects = projects.process_gld_projects(credits=df_credits) - project_schema.validate(df_projects) - assert df_projects['project_id'].str.startswith(prefix).all() - assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() @pytest.mark.parametrize( @@ -104,14 +119,89 @@ def test_gld(date, bucket, harmonize_beneficiary_info): 'projects', [pd.DataFrame()], ) -def test_gld_empty(df_credits, projects): +def test_gld_empty(subtests, df_credits, projects): prefix = 'GLD' - credit_without_id_schema.validate(df_credits) - assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) - df_projects = projects.process_gld_projects(credits=df_credits) - project_schema.validate(df_projects) - assert df_projects['project_id'].str.startswith(prefix).all() - assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() + + +@pytest.mark.parametrize('harmonize_beneficiary_info', [True, False]) +def test_cercarbono(subtests, scratch_date, scratch_bucket, harmonize_beneficiary_info): + registry = 'cercarbono' + prefix = 'CCB' + + projects = pd.read_csv(f'{scratch_bucket}/{scratch_date}/{registry}/projects.csv.gz') + projects['locations'] = projects['locations'].map(ast.literal_eval) + + dfs = [] + for key in ('issuances', 'retirements'): + credits = pd.read_csv(f'{scratch_bucket}/{scratch_date}/{registry}/{key}.csv.gz') + dfs.append( + credits.process_cercarbono_credits( + download_type=key, harmonize_beneficiary_info=harmonize_beneficiary_info + ) + ) + + df_credits = pd.concat(dfs) + df_projects = projects.process_cercarbono_projects(credits=df_credits) + + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() + + +@pytest.mark.parametrize('harmonize_beneficiary_info', [True, False]) +def test_isometric( + subtests, + scratch_date, + scratch_bucket, + isometric_prj_id_to_short_code, + harmonize_beneficiary_info, +): + registry = 'isometric' + prefix = 'ISO' + + projects = pd.read_csv(f'{scratch_bucket}/{scratch_date}/{registry}/projects.csv.gz') + + dfs = [] + for key in ('issuances', 'retirements'): + credits = pd.read_csv(f'{scratch_bucket}/{scratch_date}/{registry}/{key}.csv.gz') + dfs.append( + credits.process_isometric_credits( + download_type=key, + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=harmonize_beneficiary_info, + ) + ) + + df_credits = pd.concat(dfs) + df_projects = projects.process_isometric_projects(credits=df_credits) + + with subtests.test('credits_schema'): + credit_without_id_schema.validate(df_credits) + with subtests.test('credits_columns'): + assert set(df_credits.columns) == set(credit_without_id_schema.columns.keys()) + with subtests.test('credits_project_id_prefix'): + assert df_credits['project_id'].str.startswith(prefix).all() + with subtests.test('projects_schema'): + project_schema.validate(df_projects) + with subtests.test('projects_project_id_prefix'): + assert df_projects['project_id'].str.startswith(prefix).all() diff --git a/tests/test_isometric.py b/tests/test_isometric.py new file mode 100644 index 0000000..5429793 --- /dev/null +++ b/tests/test_isometric.py @@ -0,0 +1,131 @@ +"""Unit tests for Isometric transformation functions. + +All tests use real sample data from tests/data/ via conftest fixtures. +""" + +from unittest.mock import patch + +import pandas as pd + +from offsets_db_data.isometric import ( + add_isometric_project_id, + add_isometric_project_url, + process_isometric_credits, + process_isometric_projects, +) +from offsets_db_data.models import credit_without_id_schema, project_schema + +# ── add_isometric_project_id ─────────────────────────────────────────────────── + + +def test_add_isometric_project_id(subtests, raw_isometric_projects): + # Mirror pipeline state: rename 'short_code' -> 'project_id' before this runs + df = raw_isometric_projects.rename(columns={'short_code': 'project_id'}).copy() + result = add_isometric_project_id(df, prefix='ISO') + + with subtests.test('prefix_added'): + assert result['project_id'].str.startswith('ISO').all() + with subtests.test('original_codes_preserved'): + original = raw_isometric_projects['short_code'].astype(str) + assert (result['project_id'].str[3:] == original).all() + + +# ── add_isometric_project_url ────────────────────────────────────────────────── + + +def test_add_isometric_project_url(subtests, raw_isometric_projects): + result = add_isometric_project_url(raw_isometric_projects) + + with subtests.test('url_column_exists'): + assert 'project_url' in result.columns + with subtests.test('url_matches_source'): + assert (result['project_url'] == raw_isometric_projects['url']).all() + + +# ── process_isometric_credits ────────────────────────────────────────────────── + + +def test_process_isometric_credits( + subtests, raw_isometric_issuances, raw_isometric_retirements, isometric_prj_id_to_short_code +): + cases = [ + (raw_isometric_issuances, 'issuances', 'issuance'), + (raw_isometric_retirements, 'retirements', 'retirement'), + ] + for df, download_type, expected_type in cases: + with subtests.test(download_type=download_type): + result = process_isometric_credits( + df, + download_type=download_type, + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=False, + ) + credit_without_id_schema.validate(result) + assert result['project_id'].str.startswith('ISO').all() + assert (result['transaction_type'] == expected_type).all() + assert (result['quantity'] >= 0).all() + assert pd.api.types.is_datetime64_any_dtype(result['transaction_date']) + + +def test_process_isometric_credits_empty_input(): + result = process_isometric_credits( + pd.DataFrame(), download_type='issuances', harmonize_beneficiary_info=False + ) + credit_without_id_schema.validate(result) + assert result.empty + + +# ── process_isometric_projects ───────────────────────────────────────────────── + + +def test_process_isometric_projects( + subtests, + raw_isometric_projects, + raw_isometric_issuances, + raw_isometric_retirements, + isometric_prj_id_to_short_code, +): + credits = pd.concat( + [ + process_isometric_credits( + raw_isometric_issuances, + download_type='issuances', + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=False, + ), + process_isometric_credits( + raw_isometric_retirements, + download_type='retirements', + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=False, + ), + ] + ) + result = process_isometric_projects(raw_isometric_projects, credits=credits) + + with subtests.test('schema'): + project_schema.validate(result) + with subtests.test('project_id_prefix'): + assert result['project_id'].str.startswith('ISO').all() + with subtests.test('registry'): + assert (result['registry'] == 'isometric').all() + with subtests.test('project_url_format'): + assert result['project_url'].str.startswith('https://').all() + + +# ── harmonize_beneficiary_data mock ─────────────────────────────────────────── + + +@patch('offsets_db_data.isometric.harmonize_beneficiary_data') +def test_process_isometric_credits_harmonize_beneficiary( + mock_harmonize, raw_isometric_retirements, isometric_prj_id_to_short_code +): + """harmonize_beneficiary_info=True invokes harmonize_beneficiary_data.""" + mock_harmonize.side_effect = lambda df, **_: df + process_isometric_credits( + raw_isometric_retirements, + download_type='retirements', + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=True, + ) + mock_harmonize.assert_called_once() diff --git a/tests/test_pipeline_utils.py b/tests/test_pipeline_utils.py index ba5ee78..b2bd054 100644 --- a/tests/test_pipeline_utils.py +++ b/tests/test_pipeline_utils.py @@ -239,11 +239,11 @@ def test_write_latest_production( write_latest_production( credits=sample_credits, projects=sample_projects, - bucket='s3://test-bucket', + bucket='https://test-bucket', ) assert mock_create_buffer.call_count == 2 - mock_fsspec_fs.assert_called_once_with('s3', anon=False) + mock_fsspec_fs.assert_called_once_with('https') assert mock_fsspec_open.call_count == 2 assert mock_file.write.call_count == 2 diff --git a/tests/test_projects.py b/tests/test_projects.py index ff0c8f0..da398db 100644 --- a/tests/test_projects.py +++ b/tests/test_projects.py @@ -2,27 +2,90 @@ import pandas as pd -from offsets_db_data.projects import get_protocol_category, map_protocol +from offsets_db_data.projects import find_protocol, get_protocol_category, map_protocol + +# ── find_protocol ────────────────────────────────────────────────────────────── + + +def test_find_protocol_mapped(): + """Known string returns (mapped_ids, None).""" + mapping = {'afolu-redd': ['afolu-redd']} + mapped, unmatched = find_protocol(search_string='afolu-redd', inverted_protocol_mapping=mapping) + assert mapped == ['afolu-redd'] + assert unmatched is None + + +def test_find_protocol_unmapped(): + """Unknown string returns (None, [raw_string]).""" + mapped, unmatched = find_protocol( + search_string='some-novel-method', inverted_protocol_mapping={} + ) + assert mapped is None + assert unmatched == ['some-novel-method'] + + +def test_find_protocol_nan(): + """NaN input returns (None, None).""" + mapped, unmatched = find_protocol(search_string=float('nan'), inverted_protocol_mapping={}) + assert mapped is None + assert unmatched is None + + +def test_find_protocol_empty_string(): + """Empty / whitespace-only string returns (None, None).""" + for val in ('', ' '): + mapped, unmatched = find_protocol(search_string=val, inverted_protocol_mapping={}) + assert mapped is None + assert unmatched is None + + +def test_find_protocol_null_sentinel(): + """Strings mapped to ['unknown'] yield (None, [raw_string]), not (['unknown'], None).""" + mapping = {'Not defined': ['unknown'], 'Other': ['unknown']} + for s in ('Not defined', 'Other'): + mapped, unmatched = find_protocol(search_string=s, inverted_protocol_mapping=mapping) + assert mapped is None + assert unmatched == [s] + # ── map_protocol ────────────────────────────────────────────────────────────── -def test_map_protocol_existing_column(): - """When the protocol column exists, values are mapped correctly.""" - df = pd.DataFrame({'original_protocol': ['afolu-redd', 'unknown-proto']}) - mapping = {'afolu-redd': 'afolu-redd', 'other': 'other'} +def test_map_protocol_mapped_value(): + """Recognised strings land in protocol; protocol_unassigned is None.""" + df = pd.DataFrame({'original_protocol': ['afolu-redd']}) + mapping = {'afolu-redd': ['afolu-redd']} result = map_protocol(df, inverted_protocol_mapping=mapping) - assert 'protocol' in result.columns + assert result.loc[0, 'protocol'] == ['afolu-redd'] + assert result.loc[0, 'protocol_unassigned'] is None + + +def test_map_protocol_unmapped_value(): + """Unrecognised strings land in protocol_unassigned; protocol is None.""" + df = pd.DataFrame({'original_protocol': ['unknown-proto']}) + result = map_protocol(df, inverted_protocol_mapping={}) + assert result.loc[0, 'protocol'] is None + assert result.loc[0, 'protocol_unassigned'] == ['unknown-proto'] + + +def test_map_protocol_nan_value(): + """NaN input yields None in both columns.""" + df = pd.DataFrame({'original_protocol': [float('nan')]}) + result = map_protocol(df, inverted_protocol_mapping={}) + assert result.loc[0, 'protocol'] is None + assert result.loc[0, 'protocol_unassigned'] is None def test_map_protocol_missing_column(): - """When the protocol column is absent, protocol is set to ['unknown'] for every row.""" + """When the protocol column is absent, both columns are None for every row.""" df = pd.DataFrame({'name': ['Project A', 'Project B']}) result = map_protocol( df, inverted_protocol_mapping={}, original_protocol_column='nonexistent_col' ) assert 'protocol' in result.columns - assert all(v == ['unknown'] for v in result['protocol']) + assert 'protocol_unassigned' in result.columns + assert all(v is None for v in result['protocol']) + assert all(v is None for v in result['protocol_unassigned']) # ── get_protocol_category ───────────────────────────────────────────────────── diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 4f46f77..5bbf44b 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -10,7 +10,9 @@ from offsets_db_data.apx import * # noqa: F403 from offsets_db_data.arb import * # noqa: F403 +from offsets_db_data.cercarbono import * # noqa: F403 from offsets_db_data.gld import * # noqa: F403 +from offsets_db_data.isometric import * # noqa: F403 from offsets_db_data.models import credit_without_id_schema, project_schema from offsets_db_data.vcs import * # noqa: F403 @@ -158,3 +160,72 @@ def test_arb_pipeline(subtests, arb): with subtests.test('transaction_types'): types = set(arb['transaction_type'].unique()) assert {'issuance', 'retirement'} <= types + + +def test_cercarbono_pipeline( + subtests, + raw_cercarbono_projects, + raw_cercarbono_issuances, + raw_cercarbono_retirements, +): + credits = pd.concat( + [ + raw_cercarbono_issuances.process_cercarbono_credits( + download_type='issuances', harmonize_beneficiary_info=False + ), + raw_cercarbono_retirements.process_cercarbono_credits( + download_type='retirements', harmonize_beneficiary_info=False + ), + ] + ) + + with subtests.test('credits_schema'): + credit_without_id_schema.validate(credits) + assert set(credits.columns) == set(credit_without_id_schema.columns.keys()) + assert credits['project_id'].str.startswith('CCB').all() + + with subtests.test('credits_transaction_types'): + types = set(credits['transaction_type'].unique()) + assert {'issuance', 'retirement'} <= types + + with subtests.test('projects_schema'): + projects = raw_cercarbono_projects.process_cercarbono_projects(credits=credits) + project_schema.validate(projects) + assert projects['project_id'].str.startswith('CCB').all() + + +def test_isometric_pipeline( + subtests, + raw_isometric_projects, + raw_isometric_issuances, + raw_isometric_retirements, + isometric_prj_id_to_short_code, +): + credits = pd.concat( + [ + raw_isometric_issuances.process_isometric_credits( + download_type='issuances', + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=False, + ), + raw_isometric_retirements.process_isometric_credits( + download_type='retirements', + prj_id_to_short_code=isometric_prj_id_to_short_code, + harmonize_beneficiary_info=False, + ), + ] + ) + + with subtests.test('credits_schema'): + credit_without_id_schema.validate(credits) + assert set(credits.columns) == set(credit_without_id_schema.columns.keys()) + assert credits['project_id'].str.startswith('ISO').all() + + with subtests.test('credits_transaction_types'): + types = set(credits['transaction_type'].unique()) + assert {'issuance', 'retirement'} <= types + + with subtests.test('projects_schema'): + projects = raw_isometric_projects.process_isometric_projects(credits=credits) + project_schema.validate(projects) + assert projects['project_id'].str.startswith('ISO').all() diff --git a/tests/test_vcs.py b/tests/test_vcs.py index 1ee85ed..8ded26f 100644 --- a/tests/test_vcs.py +++ b/tests/test_vcs.py @@ -395,9 +395,7 @@ def test_add_vcs_compliance_projects(subtests, vcs_projects): def test_process_vcs_projects(subtests, vcs_projects, vcs_transactions): credits = process_vcs_credits(vcs_transactions, harmonize_beneficiary_info=False) - df = process_vcs_projects( - vcs_projects, credits=credits, registry_name='verra', download_type='projects' - ) + df = process_vcs_projects(vcs_projects, credits=credits, registry_name='verra') with subtests.test('listed_at_column'): assert 'listed_at' in df.columns @@ -425,9 +423,7 @@ def test_process_vcs_projects(subtests, vcs_projects, vcs_transactions): def test_process_vcs_projects_totals(subtests, vcs_projects, vcs_transactions): credits = process_vcs_credits(vcs_transactions, harmonize_beneficiary_info=False) - df = process_vcs_projects( - vcs_projects, credits=credits, registry_name='verra', download_type='projects' - ) + df = process_vcs_projects(vcs_projects, credits=credits, registry_name='verra') row = df[df['project_id'] == 'VCS2498'].iloc[0] with subtests.test('total_issued'):