From bb66014a8cbd06ebb44f38fa8061a3be56aec6d1 Mon Sep 17 00:00:00 2001 From: mfonsecaOEF Date: Mon, 22 Jul 2024 16:46:18 -0600 Subject: [PATCH] fix:gpc_refno from II.4.1 to II.4.3 domestic --- .../importer/datasource_seeder/datasource_seeder.csv | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/global-api/importer/datasource_seeder/datasource_seeder.csv b/global-api/importer/datasource_seeder/datasource_seeder.csv index 31c06dc8f..f503cb858 100644 --- a/global-api/importer/datasource_seeder/datasource_seeder.csv +++ b/global-api/importer/datasource_seeder/datasource_seeder.csv @@ -16,7 +16,7 @@ EPA provides information about GHG emissions from large facilities in the U.S. T 4E235B19-E4FD-4E64-A674-9ED9D9CBA9AA,EPA,Environmental Protection Agency,Fugitive emissions of coal as Direct Emitters reported in the Greenhouse Gas Reporting Program ," EPA provides information about GHG emissions from large facilities in the U.S. These facilities are required to report annual data about GHG emissions to EPA as part of the Greenhouse Gas Reporting Program (GHGRP). ",third_party,public,https://www.epa.gov/,US,2019,2022,2023,annual,point source,en,,high,Initial import,kg,source category. Suppliers report emissions based on mass balance methods or direct measurement of carbon quantities. CO2 injection facilities report CO2 quantities received for injection and must develop EPA-approved monitoring plans.,https://www.epa.gov/ghgreporting/learn-about-greenhouse-gas-reporting-program-ghgrp,"Facility emissions in the GHGRP are adjusted to fit the GPC format. The EPA categorizes facilities into nine industry groups, and they report direct emissions from 23 facility-level processes. Facilities often engage in multiple emission-generating processes. If a facility reports emissions from a single activity, it's placed in that industry group. If reporting includes stationary combustion, those emissions are added, and the facility is categorized accordingly. In cases of multiple activities with stationary combustion, the highest-emission activity determines the industry group, while others are classified separately.",global_api,https://ccglobal.openearth.dev/api/v0/ghgrp_epa/city/:locode/:year/:gpcReferenceNumber,I.7.1,1 B7BCFC69-3E7F-4B5B-A7BE-B8C945BE073F,EPA,Environmental Protection Agency,Wastewater Treatment Plants as Direct Emitters reported in the Greenhouse Gas Reporting Program," -EPA provides information about GHG emissions from large facilities in the U.S. These facilities are required to report annual data about GHG emissions to EPA as part of the Greenhouse Gas Reporting Program (GHGRP). ",third_party,public,https://www.epa.gov/,US,2019,2022,2023,annual,point source,en,,high,Initial import,kg,"Direct-emitting facilities report emissions from combustion or process sources, such as fuel combustion and chemical transformations, using methods like continuous emission monitoring systems (CEMS) or default emission factors. ",https://www.epa.gov/ghgreporting/learn-about-greenhouse-gas-reporting-program-ghgrp,"Facility emissions in the GHGRP are adjusted to fit the GPC format. The EPA categorizes facilities into nine industry groups, and they report direct emissions from 23 facility-level processes. Facilities often engage in multiple emission-generating processes. If a facility reports emissions from a single activity, it's placed in that industry group. If reporting includes stationary combustion, those emissions are added, and the facility is categorized accordingly. In cases of multiple activities with stationary combustion, the highest-emission activity determines the industry group, while others are classified separately.",global_api,https://ccglobal.openearth.dev/api/v0/ghgrp_epa/city/:locode/:year/:gpcReferenceNumber,III.4.1,1 +EPA provides information about GHG emissions from large facilities in the U.S. These facilities are required to report annual data about GHG emissions to EPA as part of the Greenhouse Gas Reporting Program (GHGRP). ",third_party,public,https://www.epa.gov/,US,2019,2022,2023,annual,point source,en,,high,Initial import,kg,"Direct-emitting facilities report emissions from combustion or process sources, such as fuel combustion and chemical transformations, using methods like continuous emission monitoring systems (CEMS) or default emission factors. ",https://www.epa.gov/ghgreporting/learn-about-greenhouse-gas-reporting-program-ghgrp,"Facility emissions in the GHGRP are adjusted to fit the GPC format. The EPA categorizes facilities into nine industry groups, and they report direct emissions from 23 facility-level processes. Facilities often engage in multiple emission-generating processes. If a facility reports emissions from a single activity, it's placed in that industry group. If reporting includes stationary combustion, those emissions are added, and the facility is categorized accordingly. In cases of multiple activities with stationary combustion, the highest-emission activity determines the industry group, while others are classified separately.",global_api,https://ccglobal.openearth.dev/api/v0/ghgrp_epa/city/:locode/:year/:gpcReferenceNumber,III.4.3,1 D213BD2F-0164-4411-84BC-1339A9D7EB94,EPA,Environmental Protection Agency,Non-specifed sources as Direct Emitters reported in the Greenhouse Gas Reporting Program ," EPA provides information about GHG emissions from large facilities in the U.S. These facilities are required to report annual data about GHG emissions to EPA as part of the Greenhouse Gas Reporting Program (GHGRP). ",third_party,public,https://www.epa.gov/,US,2019,2022,2023,annual,point source,en,,high,Initial import,kg,"Direct-emitting facilities report emissions from combustion or process sources, such as fuel combustion and chemical transformations, using methods like continuous emission monitoring systems (CEMS) or default emission factors. ",https://www.epa.gov/ghgreporting/learn-about-greenhouse-gas-reporting-program-ghgrp,"Facility emissions in the GHGRP are adjusted to fit the GPC format. The EPA categorizes facilities into nine industry groups, and they report direct emissions from 23 facility-level processes. Facilities often engage in multiple emission-generating processes. If a facility reports emissions from a single activity, it's placed in that industry group. If reporting includes stationary combustion, those emissions are added, and the facility is categorized accordingly. In cases of multiple activities with stationary combustion, the highest-emission activity determines the industry group, while others are classified separately.",global_api,https://ccglobal.openearth.dev/api/v0/ghgrp_epa/city/:locode/:year/:gpcReferenceNumber,I.6.1,1 124A1F4B-13FD-439B-9175-A8C40CC36E79,IEA,International Energy Agency,Energy generation supplied to the grid reported by the International Energy Agency ,"Electricity and heat production contains the sum of emissions from electricity production, combined heat and power plants and heat plants. It is the sum of main activity producers and autoproducers. Emissions from own on-site use of fuel are included. ",third_party,public,https://www.iea.org/statistics/co2emissions/,EARTH,2020,2022,2023,annual,country,en,,high,Initial import,tonnes,"IEA estimates CO2 emissions from fuel combustion using a Tier 1 method with globally collected energy data. Average net calorific values are applied, varying for oil and coal types. The IEA uses default carbon content values but recognizes country experts may have better information. Autoproducer emissions are unallocated, forming a category called ""Unallocated autoproducers."" The estimates encompass all CO2 emissions from fuel combustion, even though countries may categorize some differently. ",https://iea.blob.core.windows.net/assets/e6e332ed-24ab-4977-9ef9-cf3865934d63/Databasedocumentation2023Worldedition.pdf,"A reassignment of the categories proposed by IEA was carried out to consider some of the subsectors of the GPC. For this case, the reassignment was ""Electricity and heat production"" as 'I.4.4'",global_api_downscaled_by_population,https://ccglobal.openearth.dev/api/v0/source/IEA_energy/country/:country/:year/:gpcReferenceNumber,I.4.4,1 @@ -31,7 +31,7 @@ c7c660e4-56ca-3c42-96d4-6525d2a8f6cc,ClimateTRACE,ClimateTRACE,Oil and Gas Refin 7feeb3b0-a896-3481-8c05-8d31464dcede,ClimateTRACE,ClimateTRACE,Oil and Gas Production and Transport Estimated Emissions,"Oil and Gas Production and Transport Estimated Emissions - Point source GHG estimates using OCI+ tool, covering upstream to downstream operations, incorporating over 100 emission sources and integrating ground truthing and VIIRS remote sensing data for precision.",third_party,globalapi,https://climatetrace.org/,EARTH,2015,2021,2021,annual,point source,en,,medium,,kg,"The methodology for calculating emissions from oil and gas production and transport involves using the OCI+ tool, which consists of three models: OPGEE for upstream operations, PRELIM for midstream refining, and OPEM for downstream consumption. OPGEE focuses on all stages of producing and transporting crude hydrocarbons and gas to end-use points. It accounts for over 100 emission sources, including flaring, venting, fugitive losses, and more. Key inputs such as field characteristics, production volumes, and transport methods are considered, integrating ground truthing and remote sensing data like VIIRS for accurate estimations. ",https://github.com/climatetracecoalition/methodology-documents/blob/main/Fossil%20fuel%20operations/Fossil%20Fuel%20Operations%20sector-%20Oil%20and%20Gas%20Production%20and%20Transport%20Oil%2C%20and%20Gas%20Refining%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,I.8.1,1 d58b08f3-efdb-3f2d-9320-cea8c763d05a,ClimateTRACE,ClimateTRACE,Coal Mining Estimated Emissions,Estimate emissions from mining and quarrying extraction on a statistical basis by taking production numbers at national and facility level and applying specific emissions factors,third_party,globalapi,https://climatetrace.org/,EARTH,2021,2021,2021,annual,point source,en,,medium,,kg,"The methodology for calculating coal mine emissions involves utilizing data from the Global Coal Mine Tracker, which includes production and capacity data for coal mines globally. Methane emissions are estimated based on methane gas content and capacity factors obtained from literature. The methane gas content is converted to emissions using a conversion factor provided by the EPA. The emissions factor is calculated based on the methane gas content and an average emission factor coefficient. The emissions are then estimated for each mine using the emissions factor and activity data. Finally, emissions data is reported on the Climate TRACE website in terms of methane (CH4) and CO2 equivalent (CO2e) values.",https://github.com/climatetracecoalition/methodology-documents/blob/main/Fossil%20fuel%20operations/Fossil%20Fuel%20Operations%20sector-%20Coal%20mining%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,I.7.1,1 4fa3124f-cb69-300d-964f-57d63b04d46e,ClimateTRACE,ClimateTRACE,International Aviation Estimated Emissions,"Point source estimates of GHG emissions from international aviation, employing the ICAO Tier 3a methodology, Version 11 of the ICAO Carbon Emissions Calculator, and OAG Historical Flight Status Data to calculate emissions based on fuel consumption, including CO2, CH4, and N2O, and attributing them to countries and airports.",third_party,globalapi,https://climatetrace.org/,EARTH,2015,2021,2021,annual,point source,en,,medium,,kg,"To calculate international aviation emissions, Climate TRACE utilizes the ICAO methodology, employing a Tier 3a approach defined by the IPCC. They use Version 11 of the ICAO Carbon Emissions Calculator Methodology along with OAG Historical Flight Status Data. The methodology estimates emissions based on fuel consumption, including CO2, CH4, and N2O. Flight data, aircraft types, and fuel consumption factors are used to estimate fuel burned for each trip. Emissions are attributed either fully to a country for domestic flights or divided equally between countries for international flights. Finally, emissions data is aggregated by country and airport for reporting.",https://github.com/climatetracecoalition/methodology-documents/blob/main/Transportation/Transportation%20sector-%20Domestic%20and%20International%20Aviation%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,II.4.3,3 -d8bf703a-0b3f-305d-b2a0-6d1c9419044e,ClimateTRACE,ClimateTRACE,Domestic Aviation Estimated Emissions,"Point source estimates of GHG emissions from domestic aviation, utilizing ICAO's Tier 3a approach, Carbon Emissions Calculator Methodology, and OAG Historical Flight Status Data from January 2015 to June 2023, attributing emissions fully to the country of origin based on detailed aircraft movement data and fuel consumption factors for accurate estimations.",third_party,globalapi,https://climatetrace.org/,EARTH,2015,2021,2021,annual,point source,en,,medium,,kg,"To calculate domestic aviation emissions, Climate TRACE uses ICAO's Tier 3a approach, considering detailed aircraft movement data. They employ ICAO's Carbon Emissions Calculator Methodology and OAG Historical Flight Status Data from January 2015 to June 2023. This methodology estimates emissions based on fuel consumption, including CO2, CH4, and N2O. They calculate emissions for each flight between origin and destination pairs, excluding specific aircraft types, adjusting for factors like stacking and weather. Fuel consumption is estimated using ICAO's data, and emissions are attributed fully to the country of origin.",https://github.com/climatetracecoalition/methodology-documents/blob/main/Transportation/Transportation%20sector-%20Domestic%20and%20International%20Aviation%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,II.4.1,1 +d8bf703a-0b3f-305d-b2a0-6d1c9419044e,ClimateTRACE,ClimateTRACE,Domestic Aviation Estimated Emissions,"Point source estimates of GHG emissions from domestic aviation, utilizing ICAO's Tier 3a approach, Carbon Emissions Calculator Methodology, and OAG Historical Flight Status Data from January 2015 to June 2023, attributing emissions fully to the country of origin based on detailed aircraft movement data and fuel consumption factors for accurate estimations.",third_party,globalapi,https://climatetrace.org/,EARTH,2015,2021,2021,annual,point source,en,,medium,,kg,"To calculate domestic aviation emissions, Climate TRACE uses ICAO's Tier 3a approach, considering detailed aircraft movement data. They employ ICAO's Carbon Emissions Calculator Methodology and OAG Historical Flight Status Data from January 2015 to June 2023. This methodology estimates emissions based on fuel consumption, including CO2, CH4, and N2O. They calculate emissions for each flight between origin and destination pairs, excluding specific aircraft types, adjusting for factors like stacking and weather. Fuel consumption is estimated using ICAO's data, and emissions are attributed fully to the country of origin.",https://github.com/climatetracecoalition/methodology-documents/blob/main/Transportation/Transportation%20sector-%20Domestic%20and%20International%20Aviation%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,II.4.3,3 3b4cf72b-3bf0-32e3-af14-9dc0a05874d5,ClimateTRACE,ClimateTRACE,Solid Waste Disposal Estimated Emissions,"Point source estimates of GHG emissions from solid waste disposal, employing a Bayesian statistical approach, considering waste site capacities, income groups, and regions for robust methane emission predictions.",third_party,globalapi,https://climatetrace.org/,EARTH,2021,2021,2021,annual,point source,en,,medium,,kg,"This methodology involves a Bayesian statistical approach, implemented using PyMC3 in Python. The process begins with defining hierarchical regression structures to predict methane emissions from waste sites based on their capacities. Parameters are initialized with priors selected through prior predictive simulations and model cross-validation. The core of the model entails regressing the mean emissions of waste sites as a function of observed capacities, utilizing coefficients specific to income groups or regions. Posterior predictions are then generated by sampling from the posterior distributions on the parameters, with predicted emissions simulated for each site. To prevent unrealistic predictions, a ""saturation effect"" is integrated into the model, capping predicted emissions at reasonable values. This methodology operates in a two-stage process, where the emissions prediction model serves as the second stage of a composite model, with the first stage predicting waste capacities from areas. This approach allows for robust modeling of methane emissions from solid waste sites while considering variability within and between income groups or regions",https://github.com/climatetracecoalition/methodology-documents/blob/main/Waste/Waste%20Sector-%20Solid%20Waste%20Disposal%20(asset)%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,III.1.1,1 e6d533a4-0020-30bc-bbac-90627e499663,ClimateTRACE,ClimateTRACE,Manure Management Estimated Emissions,"Point source estimates of GHG emissions from beef and dairy feedlots, employing IPCC equations, default regional emission factors, and Climate Trace's approach incorporating temperature data, facility-level population counts, and regional manure management variations.",third_party,globalapi,https://climatetrace.org/,EARTH,2020,2021,2021,annual,point source,en,,medium,,kg,"The manure management calculation process involves the estimation of methane and nitrous oxide emissions from beef and dairy feedlots using IPCC equations and default regional emission factors. Climate Trace's approach incorporates temperature data, ground-truthed facility-level population counts, and regional variations in manure management practices to develop emission estimates. These estimates are presented for different regions, highlighting the significant contributions of beef and dairy feedlots to greenhouse gas emissions",https://github.com/climatetracecoalition/methodology-documents/blob/main/Agriculture/Agriculture%20sector-%20Enteric%20fermentation%20and%20Manure%20management%20(asset)%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,V.1,1 3b18e434-cd0e-3686-9537-6ae38ccb5c0c,ClimateTRACE,ClimateTRACE,Enteric Fermentation Estimated Emissions,"Point source estimates of GHG emissions from beef and dairy feedlots, utilizing advanced spatial data processing techniques and machine learning algorithms to predict methane and nitrous oxide emissions, considering factors such as cattle populations, feedlot area size, and regional variations in manure management practices, with accuracy validated through statistical measures.",third_party,globalapi,https://climatetrace.org/,EARTH,2020,2021,2021,annual,point source,en,,medium,,kg,"The enteric fermentation calculation process involves the utilization of advanced spatial data processing techniques and machine learning algorithms to estimate methane and nitrous oxide emissions from beef and dairy feedlots. This method, developed by Climate Trace, involves spatially joining data, adding ancillary information, and performing data cleaning to create training datasets for model development. The models developed utilize linear regression to predict cattle populations at individual facilities, with separate models for beef and dairy feedlots, while also considering factors such as feedlot area size and regional variations in manure management practices. The accuracy of the models is evaluated through various statistical measures, and emission estimates are provided for different regions",https://github.com/climatetracecoalition/methodology-documents/blob/main/Agriculture/Agriculture%20sector-%20Enteric%20fermentation%20and%20Manure%20management%20(asset)%20Methodology.pdf,"Latitude and longitude information are utilized to apply a reverse geocode methodology, assigning the corresponding city locode to each emission point. Once identified, all data points within the city boundary are aggregated to calculate the total emissions for the sector.",global_api,https://ccglobal.openearth.dev/api/v0/climatetrace/city/:locode/:year/:gpcReferenceNumber,V.1,1 @@ -47,8 +47,8 @@ ae849774-309e-4091-8461-1be91db5a958,DEIE Mendoza,Direccion de Estadisticas e In de8dc6b3-6c78-4fc7-9b4a-df24a2326634,Google EIE,Google Environmental Insights Explorer,On-road transportation estimated emissions,Estimation of On-road transportation emissions per kilometer traveled and number of trips reported by Google EIE,third_party,private,https://insights.sustainability.google/,EARTH,2018,2022,2022,annual,city,en,,medium,,kg,"Google Maps utilizes user trip data to deduce city traffic, travel modes, and distances traveled. This is then paired with vehicle types and average fuel consumption estimates for each mode",https://insights.sustainability.google/,"Adaptation of the raw format to the scheme required by the GPC, renaming of variables and assignment of the GPC reference number",global_api,https://ccglobal.openearth.dev/api/v0/source/Google EIE/city/:locode/:year/:gpcReferenceNumber,II.1.1,1 fdf77b4a-5fb8-4b33-92b5-07b92f839c9b,Carbon Monitor,Carbon Monitor Cities,Carbon Monitor Cities Residential Energy,Estimation of residential energy emissions from Carbon Monitor. Carbon Monitor Cities is a global initiative to provide real-time and historical data on CO2 emissions from cities around the world.,third_party,public,https://carbonmonitor.org/,EARTH,2019,2021,2022,annual,city,en,,medium,,kg,The data is based on satellite observations of CO2 concentrations and a data-driven model to estimate emissions.,https://carbonmonitor.org/,Emissions data are matched to cities by name and ISO code for the region.,global_api,https://ccglobal.openearth.dev/api/v0/source/Carbon Monitor Cities/city/:locode/:year/:gpcReferenceNumber,I.1.1,1 e2143a90-0e5f-48fa-9a1d-85505f90b95f,Carbon Monitor,Carbon Monitor Cities,Carbon Monitor Cities On-Road Transportation,Estimation of on-road transportation emissions from Carbon Monitor. Carbon Monitor Cities is a global initiative to provide real-time and historical data on CO2 emissions from cities around the world.,third_party,public,https://carbonmonitor.org/,EARTH,2019,2021,2022,annual,city,en,,medium,,kg,The data is based on satellite observations of CO2 concentrations and a data-driven model to estimate emissions.,https://carbonmonitor.org/,Emissions data are matched to cities by name and ISO code for the region.,global_api,https://ccglobal.openearth.dev/api/v0/source/Carbon Monitor Cities/city/:locode/:year/:gpcReferenceNumber,II.1.1,1 -1007a979-3c3c-4115-b61a-c85e3e39b165,Carbon Monitor,Carbon Monitor Cities,Carbon Monitor Cities Aviation,Estimation of aviation emissions from Carbon Monitor. Carbon Monitor Cities is a global initiative to provide real-time and historical data on CO2 emissions from cities around the world.,third_party,public,https://carbonmonitor.org/,EARTH,2019,2021,2022,annual,city,en,,medium,,kg,The data is based on satellite observations of CO2 concentrations and a data-driven model to estimate emissions.,https://carbonmonitor.org/,Emissions data are matched to cities by name and ISO code for the region.,global_api,https://ccglobal.openearth.dev/api/v0/source/Carbon Monitor Cities/city/:locode/:year/:gpcReferenceNumber,II.4.1,1 -c0ef94f0-5ecf-45bc-9e3e-f273396b101d,EDGAR,Emissions Database for Global Atmospheric Research,Aviation Estimated Emissions,"Grid cell estimates of GHG emissions for aviation, employing a standardized method utilizing technology-based emission factors and spatial allocation through a grid system, considering country-specific activity data and relevant spatial factors.",Third-party,globalapi,https://joint-research-centre.ec.europa.eu/index_en,EARTH,2021,2022,2022,annual,"0.1 degree",en,"",medium,"",kg,"The emission calculation method utilizes a standardized approach across all countries, employing technology-based emission factors to estimate annual emissions for each compound and sector. This involves multiplying country-specific activity data with the mix of technologies and their associated abatement measures, considering both emission factors and reductions due to installed abatement measures. Spatial allocation of emissions is achieved through a grid system, utilizing geographical databases and spatial proxy datasets to distribute emissions across a country's area based on relevant spatial factors such as population density and land use.",https://edgar.jrc.ec.europa.eu/dataset_ghg70#intro,"Utilizing the central latitude and longitude coordinates of the grid, the assignment of the corresponding city locode is performed. Following identification, the aggregation of all the grid cells within the city boundary ensues to derive the total sector emissions. In instances where the grid extends beyond the city limits, the proportional fraction is calculated, and that specific emission fraction is assigned to the respective city.",global_api,https://ccglobal.openearth.dev/api/v0/edgar/city/:locode/:year/:gpcReferenceNumber,II.4.1,1 +1007a979-3c3c-4115-b61a-c85e3e39b165,Carbon Monitor,Carbon Monitor Cities,Carbon Monitor Cities Aviation,Estimation of aviation emissions from Carbon Monitor. Carbon Monitor Cities is a global initiative to provide real-time and historical data on CO2 emissions from cities around the world.,third_party,public,https://carbonmonitor.org/,EARTH,2019,2021,2022,annual,city,en,,medium,,kg,The data is based on satellite observations of CO2 concentrations and a data-driven model to estimate emissions.,https://carbonmonitor.org/,Emissions data are matched to cities by name and ISO code for the region.,global_api,https://ccglobal.openearth.dev/api/v0/source/Carbon Monitor Cities/city/:locode/:year/:gpcReferenceNumber,II.4.3,1 +c0ef94f0-5ecf-45bc-9e3e-f273396b101d,EDGAR,Emissions Database for Global Atmospheric Research,Aviation Estimated Emissions,"Grid cell estimates of GHG emissions for aviation, employing a standardized method utilizing technology-based emission factors and spatial allocation through a grid system, considering country-specific activity data and relevant spatial factors.",Third-party,globalapi,https://joint-research-centre.ec.europa.eu/index_en,EARTH,2021,2022,2022,annual,"0.1 degree",en,"",medium,"",kg,"The emission calculation method utilizes a standardized approach across all countries, employing technology-based emission factors to estimate annual emissions for each compound and sector. This involves multiplying country-specific activity data with the mix of technologies and their associated abatement measures, considering both emission factors and reductions due to installed abatement measures. Spatial allocation of emissions is achieved through a grid system, utilizing geographical databases and spatial proxy datasets to distribute emissions across a country's area based on relevant spatial factors such as population density and land use.",https://edgar.jrc.ec.europa.eu/dataset_ghg70#intro,"Utilizing the central latitude and longitude coordinates of the grid, the assignment of the corresponding city locode is performed. Following identification, the aggregation of all the grid cells within the city boundary ensues to derive the total sector emissions. In instances where the grid extends beyond the city limits, the proportional fraction is calculated, and that specific emission fraction is assigned to the respective city.",global_api,https://ccglobal.openearth.dev/api/v0/edgar/city/:locode/:year/:gpcReferenceNumber,II.4.3,1 "492537be-6eca-4508-ba27-ea6c7c42b019",BEN,Energy Balances Argentina,National Energy Balances for Argentina,"The BEN summarizes the information related to the production, import, export, transformation and consumption of energy in Argentina, being the main statistical instrument for national energy planning. The fuels included are LPG, kerosene, firewoodm charcoal.",Third-party,Public,http://datos.energia.gob.ar/dataset/balances-energeticos,AR,2018,2022,2022,annual,country,es,,high,,kg,"The Energy Balance is a methodology that analyzes and records energy flows throughout different events, from its production to its final consumption, in a national territory during a specific year. The physical flows of energy are converted into caloric flows in order to compare different sources, using the calorific values of the different fuel sources and expressing them in Tons of Oil Equivalent (TEP).",https://www.energia.gob.ar/contenidos/archivos/Reorganizacion/informacion_del_mercado/publicaciones/energia_en_gral/balances_2021/sintesisbalancesenergeticos2021v1.pdf,"The information is scaled-down at the city level using different scaling factors depending on the sector or subsector, then the corresponding emission factor is applied according to the type of fuel and gas.",global_api_downscaled_by_population,https://ccglobal.openearth.dev/api/v0/source/BEN/country/:country/:year/:gpcReferenceNumber,I.1.1,1 "38918e8a-bb0a-466a-91c7-d085c8e26992",BEN,Energy Balances Argentina,National Energy Balances for Argentina,"The BEN summarizes the information related to the production, import, export, transformation and consumption of energy in Argentina, being the main statistical instrument for national energy planning. The fuels included are LPG, kerosene, firewoodm charcoal.",Third-party,Public,http://datos.energia.gob.ar/dataset/balances-energeticos,AR,2018,2022,2022,annual,country,es,,high,,kg,"The Energy Balance is a methodology that analyzes and records energy flows throughout different events, from its production to its final consumption, in a national territory during a specific year. The physical flows of energy are converted into caloric flows in order to compare different sources, using the calorific values of the different fuel sources and expressing them in Tons of Oil Equivalent (TEP).",https://www.energia.gob.ar/contenidos/archivos/Reorganizacion/informacion_del_mercado/publicaciones/energia_en_gral/balances_2021/sintesisbalancesenergeticos2021v1.pdf,"The information is scaled-down at the city level using different scaling factors depending on the sector or subsector, then the corresponding emission factor is applied according to the type of fuel and gas.",global_api_downscaled_by_population,https://ccglobal.openearth.dev/api/v0/source/BEN/country/:country/:year/:gpcReferenceNumber,I.2.1,1 "8bff6600-e3b3-4d1c-85b7-f1aa2edbc1f3",BEN,Energy Balances Argentina,National Energy Balances for Argentina,"The BEN summarizes the information related to the production, import, export, transformation and consumption of energy in Argentina, being the main statistical instrument for national energy planning. The fuels included are LPG, kerosene, firewoodm charcoal.",Third-party,Public,http://datos.energia.gob.ar/dataset/balances-energeticos,AR,2018,2022,2022,annual,country,es,,high,,kg,"The Energy Balance is a methodology that analyzes and records energy flows throughout different events, from its production to its final consumption, in a national territory during a specific year. The physical flows of energy are converted into caloric flows in order to compare different sources, using the calorific values of the different fuel sources and expressing them in Tons of Oil Equivalent (TEP).",https://www.energia.gob.ar/contenidos/archivos/Reorganizacion/informacion_del_mercado/publicaciones/energia_en_gral/balances_2021/sintesisbalancesenergeticos2021v1.pdf,"The information is scaled-down at the city level using different scaling factors depending on the sector or subsector, then the corresponding emission factor is applied according to the type of fuel and gas.",global_api_downscaled_by_population,https://ccglobal.openearth.dev/api/v0/source/BEN/country/:country/:year/:gpcReferenceNumber,I.5.1,1