HESTIA's models calculate with data from many third parties: background life cycle inventory databases, statistics, characterisation factors and geospatial datasets. Each has its own licence, and several require a specific citation or ask that changes to their data are documented. This page lists them, for glossary version 0.101.0.
HESTIA's own data licence and how to cite HESTIA are on Citation and Data Licence. A licence marked Under review is being confirmed with the data provider; one marked Not yet recorded has not been added to the glossary yet.
The models read these datasets from the glossary's lookup tables. Each lookup's documentation records its source and every change HESTIA made — what was removed, aggregated or rounded — for this glossary version.
Source: AGRIBALYSE v3.1.1
Licence: Etalab Open Licence 2.0. ADEME must be named as the source, with the date of the last update. AGRIBALYSE's background data for non-agricultural processes come from ecoinvent. HESTIA publishes only the emission and resource-use factors it calculated from the ECOALIM processes; the life cycle inventories themselves are not published.
Citation: Source ADEME, AGRIBALYSE v3.1.1 (2023).
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: AQUASTAT
Licence: CC BY 4.0, under the FAO Statistical Database Terms of Use. Not to be used to promote a commercial enterprise or to suggest FAO's endorsement.
Citation: FAO. AQUASTAT Core Database. Food and Agriculture Organization of the United Nations. Licence: CC-BY-4.0.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: AWARE
Licence: CC BY 4.0
Citation: Boulay A-M, Bare J, Benini L, et al. (2018). The WULCA consensus characterization model for water scarcity footprints: assessing impacts of water consumption based on available water remaining (AWARE). Int J Life Cycle Assess 23:368–378. https://doi.org/10.1007/s11367-017-1333-8
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: AWARE 2.0
Licence: CC BY 4.0
Citation: Seitfudem G, Berger M, Müller Schmied H, Boulay A-M (2025). The updated and improved method for water scarcity impact assessment in LCA, AWARE2.0. J Ind Ecol 29(3), 891–907. https://doi.org/10.1111/jiec.70023, and the data at https://doi.org/10.5281/zenodo.15133241
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: BAFU database
Licence: BAFU:2025 Terms of Use. Free to use, including by a calculator, provided the data are attributed with the citation below, modifications are documented, and modified data passed to third parties are shared on equivalent terms. HESTIA publishes only the emission and resource-use factors it calculated from the BAFU processes; the life cycle inventories themselves are not published.
Citation: Life Cycle Inventory database of the Swiss Federal Administration, BAFU:2025.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Brunori et al. (2016)
Licence: To be confirmed with Elsevier.
Citation: Brunori, E., Farina, R., Biasi, R. (2016). Sustainable viticulture: The carbon-sink function of the vineyard agro-ecosystem. Agriculture, Ecosystems & Environment 223, 10–21. https://doi.org/10.1016/j.agee.2016.02.012
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Callesen et al. (2023)
Licence: CC BY 4.0
Citation: Callesen, T.O., Gonzalez, C.V., Bastos Campos, F., Zanotelli, D., Tagliavini, M., Montagnani, L. (2023). Understanding carbon sequestration, allocation, and ecosystem storage in a grassed vineyard. Geoderma Regional 34, e00674. https://doi.org/10.1016/j.geodrs.2023.e00674
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Chaudhary & Brooks (2018)
Licence: To be confirmed with the ACS.
Citation: Chaudhary A, Brooks TM (2018). Land Use Intensity-Specific Global Characterization Factors to Assess Product Biodiversity Footprints. Environ Sci Technol 52(9), 5094–5104. https://doi.org/10.1021/acs.est.7b05570
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Chaudhary et al. (2015)
Licence: ACS AuthorChoice: copying and adaptation for non-commercial purposes only.
Citation: Chaudhary A, Verones F, de Baan L, Hellweg S (2015). Quantifying Land Use Impacts on Biodiversity: Combining Species–Area Models and Vulnerability Indicators. Environ Sci Technol 49(16), 9987–9995. https://doi.org/10.1021/acs.est.5b02507
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: EF 3.1
Licence: CC BY 4.0
Citation: Andreasi Bassi S., Biganzoli F., Ferrara N., Amadei A., Valente A., Sala S., Ardente F. (2023). Updated characterisation and normalisation factors for the Environmental Footprint 3.1 method. Publications Office of the European Union, Luxembourg. https://doi.org/10.2760/798894
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: ELCD database
Licence: ELCD III data set licence. Free to use, in commercial and non-commercial studies and to develop derived data sets, provided the data set owner and the ELCD database are credited and nothing suggests endorsement by the European Commission or the data set owner. HESTIA publishes only the emission and resource-use factors it calculated from the ELCD processes; the life cycle inventories themselves are not published.
Citation: ELCD III data sets, http://lct.jrc.ec.europa.eu. (c) European Commission 1995-2011. ELCD database 3.2; data set owner PE INTERNATIONAL GmbH.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Ember Yearly Electricity Data
Licence: CC BY 4.0. A HESTIA mapping onto the Ember energy sources.
Licence: CC BY 4.0. A HESTIA mapping: it names ecoinvent processes and contains no ecoinvent data.
Licence: CC BY 4.0
Citation: Ember (2025), Yearly Electricity Data.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: EMEP/EEA guidebook 2013
Licence: CC BY 4.0
Citation: EEA (2013). EMEP/EEA air pollutant emission inventory guidebook 2013. EEA Technical report No 12/2013, chapter 3.B Manure management (update July 2015). Publications Office of the European Union, Luxembourg. https://doi.org/10.2800/92722
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: EMEP/EEA guidebook 2019
Licence: CC BY 4.0
Citation: EEA (2019). EMEP/EEA air pollutant emission inventory guidebook 2019. EEA Report No 13/2019, chapter 3.B Manure management. Publications Office of the European Union, Luxembourg. https://doi.org/10.2800/293657
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: ESYRCE
Licence: CC BY 4.0
Citation: MAPA. Encuesta sobre Superficies y Rendimientos de Cultivos (ESYRCE). Ministerio de Agricultura, Pesca y Alimentación, Madrid.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: FAOSTAT
Licence: CC BY 4.0, under the FAO Statistical Database Terms of Use. Not to be used to promote a commercial enterprise or to suggest FAO's endorsement.
Citation: FAO. FAOSTAT. https://www.fao.org/faostat/ Licence: CC-BY-4.0.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Feed Tables
Licence: To be confirmed with the Feed Tables team.
Citation: AFZ (2017). INRA-CIRAD-AFZ feed tables: composition and nutritive values of feeds for cattle, sheep, goats, pigs, poultry, rabbits, horses and salmonids. https://www.feedtables.com, INRAE, CIRAD, AFZ.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Feedipedia
Licence: Feedipedia copyright: extracts for private study, research, teaching or non-commercial documents of limited circulation, acknowledging INRAE, CIRAD, AFZ and FAO; adaptation and commercial use need AFZ's permission.
Citation: Feedipedia, a programme by INRAE, CIRAD, AFZ and FAO. https://www.feedipedia.org
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: FeedPrint
Licence: CC BY 4.0
Citation: Vellinga, Th.V., Blonk, H., Marinussen, M., van Zeist, W.J., de Boer, I.J.M., Starmans, D. (2013). Methodology used in FeedPrint: a tool quantifying greenhouse gas emissions of feed production and utilization. Report 674, Wageningen UR Livestock Research, Lelystad.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: FiBL Statistics
Licence: CC BY 4.0
Citation: FiBL: Area data on organic agriculture worldwide. The Statistics.FiBL.org website maintained by the Research Institute of Organic Agriculture (FiBL), Frick, Switzerland. https://statistics.fibl.org/world/area-world.html
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: FoodData Central
Licence: CC BY 4.0
Citation: U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center. FoodData Central. https://fdc.nal.usda.gov/
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: geoBoundaries
Licence: Per boundary, given in each release's metadata: mostly ODbL 1.0 and CC BY 4.0, some public domain or CC BY-SA. Attribution is always required, and the ODbL and CC BY-SA boundaries are share-alike.
Citation: Runfola, D. et al. (2020). geoBoundaries: A global database of political administrative boundaries. PLoS ONE 15(4): e0231866. https://doi.org/10.1371/journal.pone.0231866
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: GNOC
Licence: CC BY 4.0
Citation: Köble, R. (2014). The Global Nitrous Oxide Calculator – GNOC – Online Tool Manual, version 1.2.4. European Commission, Joint Research Centre.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Hernández-Montes et al. (2022)
Licence: CC BY 4.0
Citation: Hernández-Montes, E., Escalona, J.M., Tomás, M., Martorell, S., Bota, J., Tortosa, I., Medrano, H. (2022). Carbon balance in grapevines (Vitis vinifera L.): effect of environment, cultivar and phenology on carbon gain, losses and allocation. Australian Journal of Grape and Wine Research 28(4), 534–544. https://doi.org/10.1111/ajgw.12557
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Hiederer et al. (2010)
Licence: CC BY 4.0
Citation: Hiederer R., Ramos F., Capitani C., Koeble R., Blujdea V., Gomez O., Mulligan D., Marelli L. (2010). Biofuels: a new methodology to estimate GHG emissions from global land use change. EUR 24483 EN. Publications Office of the European Union, Luxembourg. https://doi.org/10.2788/48910
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: HWSD v2.0
Licence: CC BY-NC-SA 3.0 IGO: non-commercial, and adaptations shared under the same licence.
Citation: FAO & IIASA. 2023. Harmonized World Soil Database version 2.0. Rome and Laxenburg. https://doi.org/10.4060/cc3823en
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: INRAE ECOALIM v9.0
Licence: Etalab Open Licence 2.0. AGRIBALYSE's background data for non-agricultural processes come from ecoinvent. HESTIA publishes only the emission and resource-use factors it calculated from the ECOALIM processes; the life cycle inventories themselves are not published.
Citation: INRAE, ECOALIM v9.0, via ADEME AGRIBALYSE v3.2 (2024).
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: IPCC 2006 Guidelines
Licence: CC BY 4.0
Citation: IPCC 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). Published: IGES, Japan.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: IPCC 2013 Wetlands Supplement
Licence: CC BY 4.0
Citation: IPCC 2014, 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands, Hiraishi, T., Krug, T., Tanabe, K., Srivastava, N., Baasansuren, J., Fukuda, M. and Troxler, T.G. (eds). Published: IPCC, Switzerland.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: IPCC 2019 Refinement
Licence: CC BY 4.0
Citation: IPCC 2019, 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Calvo Buendia, E., Tanabe, K., Kranjc, A., Baasansuren, J., Fukuda, M., Ngarize, S., Osako, A., Pyrozhenko, Y., Shermanau, P. and Federici, S. (eds). Published: IPCC, Switzerland.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: LC-IMPACT
Licence: CC BY 4.0
Citation: Verones F, Hellweg S, Antón A, et al. (2020). LC-IMPACT: A regionalized life cycle damage assessment method. J Ind Ecol 24(6), 1201–1219. https://doi.org/10.1111/jiec.13018
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Miranda et al. (2017)
Licence: CC BY 4.0
Citation: Miranda, C., Santesteban, L.G., Escalona, J.M., De Herralde, F., Aranda, X., Nadal, M., Intrigliolo, D.S., Castel, J.R., Royo, J.B., Medrano, H. (2017). Allometric relationships for estimating vegetative and reproductive biomass in grapevine (Vitis vinifera L.). Australian Journal of Grape and Wine Research 23(3), 441–451. https://doi.org/10.1111/ajgw.12285
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Poore & Nemecek (2018)
Licence: CC BY 4.0
Citation: Poore, J., & Nemecek, T. (2018). Reducing food's environmental impacts through producers and consumers. Science, 360(6392), 987–992. https://doi.org/10.1126/science.aaq0216
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: ReCiPe 2016 v1.1
Licence: To be confirmed with RIVM.
Citation: Huijbregts MAJ, Steinmann ZJN, Elshout PMF, Stam G, Verones F, Vieira M, Zijp M, Hollander A, van Zelm R (2017). ReCiPe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level. Int J Life Cycle Assess 22, 138–147. https://doi.org/10.1007/s11367-016-1246-y
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: SALCA
Licence: CC BY 4.0
Citation: Nemecek T., Roesch A., Bystricky M., Jeanneret P., Lansche J., Stüssi M., Gaillard G. (2024). Swiss Agricultural Life Cycle Assessment: a method to assess the emissions and environmental impacts of agricultural systems and products. Int J Life Cycle Assess 29(3), 433–455. https://doi.org/10.1007/s11367-023-02255-w
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Scherer & Pfister (2015)
Licence: To be confirmed with Springer Nature.
Citation: Scherer, L., Pfister, S. (2015). Modelling spatially explicit impacts from phosphorus emissions in agriculture. Int J Life Cycle Assess 20, 785–795. https://doi.org/10.1007/s11367-015-0880-0
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Siebert et al. (2010)
Licence: CC BY 4.0
Citation: Siebert, S., Portmann, F. T., & Döll, P. (2010). Global Patterns of Cropland Use Intensity. Remote Sensing, 2(7), 1625–1643. https://doi.org/10.3390/rs2071625
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Song et al. (2023)
Licence: CC BY 4.0
Citation: Song, R.; Zhu, Z.; Zhang, L.; Li, H.; Wang, H. (2023). A Simple Method Using an Allometric Model to Quantify the Carbon Sequestration Capacity in Vineyards. Plants 12(5), 997. https://doi.org/10.3390/plants12050997
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Stehfest & Bouwman (2006)
Licence: To be confirmed with Springer Nature.
Citation: Stehfest, E., Bouwman, L. (2006). N2O and NO emission from agricultural fields and soils under natural vegetation: summarizing available measurement data and modeling of global annual emissions. Nutr Cycl Agroecosyst 74, 207–228. https://doi.org/10.1007/s10705-006-9000-7
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Suhr et al. (2015)
Licence: To be confirmed with Elsevier.
Citation: Suhr, K.I., Letelier-Gordo, C.O., Lund, I. (2015). Anaerobic digestion of solid waste in RAS: effect of reactor type on the biochemical acidogenic potential (BAP) and assessment of the biochemical methane potential (BMP) by a batch assay. Aquacultural Engineering 65, 65–71. https://doi.org/10.1016/j.aquaeng.2014.12.005
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Torres et al. (2021)
Licence: CC BY 4.0
Citation: Torres, N., Yu, R., Martínez-Lüscher, J., Kostaki, E., Kurtural, S.K. (2021). Application of Fractions of Crop Evapotranspiration Affects Carbon Partitioning of Grapevine Differentially in a Hot Climate. Frontiers in Plant Science 12, 633600. https://doi.org/10.3389/fpls.2021.633600
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: UNDP Human Development Report 2014
Licence: CC BY 4.0
Citation: UNDP (2014). Human Development Report 2014. Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience. United Nations Development Programme, New York.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: USEtox 2.14
Licence: To be confirmed with the USEtox Team.
Citation: Fantke, P. (Ed.), et al. (2017). USEtox 2.0 Documentation (Version 1.1). https://doi.org/10.11581/DTU:00000011
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: World Steel
Licence: CC BY 4.0, with worldsteel's authorisation. HESTIA publishes only the emission and resource-use factors it calculated from the worldsteel processes; the life cycle inventories themselves are not published.
Citation: World Steel Association (worldsteel), life cycle inventory data.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: WWF Terrestrial Ecoregions of the World
Licence: CC BY-NC 3.0, per Data Basin, which names WWF's Conservation Science Program as contact. Any change to the ecoregion boundaries, names or classes must be noted.
Citation: Olson, D. M., Dinerstein, E., Wikramanayake, E. D., et al. (2001). Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938.
Used in these lookups, each documenting the changes HESTIA made to the data:
Source: Zhang et al. (2021)
Licence: CC BY 4.0
Citation: Zhang, L.; Xue, T.; Gao, F.; Wei, R.; Wang, Z.; Li, H.; Wang, H. (2021). Carbon Storage Distribution Characteristics of Vineyard Ecosystems in Hongsibu, Ningxia. Plants 10(6), 1199. https://doi.org/10.3390/plants10061199
Used in these lookups, each documenting the changes HESTIA made to the data:
The models read these datasets when gap-filling a Site from its location, through Earth Engine or the downloaded geospatial assets. Each collection is one raster or vector layer.
| Collections | Models | Citation | Licence |
|---|---|---|---|
WULCA AWARE v1AWARE | awareWaterBasinId_v1 | WULCA AWARE 2.0 water scarcity characterisation factors -- https://wulca-waterlca.org/aware/download-aware-factors/ | TO BE CONFIRMED |
WULCA AWARE 2.0AWARE_2_0_ids | awareWaterBasinId | WULCA AWARE 2.0 water scarcity characterisation factors -- https://wulca-waterlca.org/aware/download-aware-factors/ | CC BY 4.0 — Cite doi:10.1111/jiec.70023 and the Zenodo record. |
JRC ILUC climate zonesclimate_zone | ecoClimateZone | Biofuels: a new methodology to estimate GHG emissions from global land use change | JRC ESDAC terms — Any use including commercial; no redistribution to third parties. |
Scherer & Pfister 2015correction_winter-type_precipitation, erodibility, r_fraction_loss_water, soil_phosphorus_concentration | erodibility, heavyWinterPrecipitation, nutrientLossToAquaticEnvironment, totalPhosphorusPerKgSoil | Modelling spatially explicit impacts from phosphorus emissions in agriculture | TO BE CONFIRMED |
HWSD v2.0DRAINAGE_v2, T_CLAY_v2_depth_1, T_CLAY_v2_depth_2, T_CLAY_v2_depth_3, T_CLAY_v2_depth_4, T_N_v2_depth_1, T_N_v2_depth_2, T_N_v2_depth_3, T_N_v2_depth_4, T_OC_v2_depth_1, T_OC_v2_depth_2, T_OC_v2_depth_3, T_OC_v2_depth_4, T_PH_H2O_v2_depth_1, T_PH_H2O_v2_depth_2, T_PH_H2O_v2_depth_3, T_PH_H2O_v2_depth_4, T_SAND_v2_depth_1, T_SAND_v2_depth_2, T_SAND_v2_depth_3, T_SAND_v2_depth_4 | clayContent, drainageClass, organicCarbonPerKgSoil, sandContent, soilPh, totalNitrogenPerKgSoil | Harmonized World Soil Database Version 2.0. | TO BE CONFIRMED |
GADM 3.6gadm36_0, gadm36_1, gadm36_2, gadm36_3, gadm36_4, gadm36_5 | region | GADM database of Global Administrative Areas, version 3.6 -- https://gadm.org. Free for academic and other non-commercial use; redistribution is not permitted, so these layers ship only to HESTIA's own private asset mirror and never in the published archives. | GADM licence — Non-commercial use only; no redistribution without permission. |
GEBCO 2021gebco_2021_tid | waterDepth | GEBCO Compilation Group (2021) GEBCO 2021 Grid, Type Identifier (TID) -- https://www.gebco.net/ | Public domain — Acknowledge the GEBCO Compilation Group. |
GMTED2010GMTED2010_1KM | — | An Enhanced Global Elevation Model Generalized From Multiple Higher Resolution Source Datasets -- resampled by HESTIA from USGS/GMTED2010_FULL onto a 0.01 degree grid, so the values are area-weighted means of the 232 m source rather than the source itself | Public domain (USGS) — Credit requested: doi:10.5066/F7J38R2N. |
GMTED2010GMTED2010_FULL, GMTEDSLOPE, slope_length_factor | altitude, slope, slopeLength | An Enhanced Global Elevation Model Generalized From Multiple Higher Resolution Source Datasets | Public domain (USGS) — Credit requested: doi:10.5066/F7J38R2N. |
HWSD v1.2histosols_corrected | histosol | Harmonized World Soil Database Version 1.2. Food and Agriculture Organization of the United Nations (FAO). | FAO/IIASA/ISRIC/ISSCAS/JRC terms — Non-commercial use with full acknowledgement; commercial use needs written permission. |
MODIS MCD12Q1 v061MCD12Q1 | — | Friedl, M., Sulla-Menashe, D. (2022). MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC -- https://doi.org/10.5067/MODIS/MCD12Q1.061 | CC BY 4.0 — Cite doi:10.5067/MODIS/MCD12Q1.061. |
ERA5-LandMONTHLY_AGGR | precipitationAnnual, precipitationLongTermAnnualMean, precipitationMonthly, temperatureAnnual, temperatureLongTermAnnualMean, temperatureMonthly | ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate Generated using Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. ERA5-Land monthly averaged data from 1950 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS), https://doi.org/10.24381/cds.68d2bb30 -- licensed CC-BY-4.0 and redistributed here unmodified in content. | CC BY 4.0 — Show the Copernicus wording given in source. |
SoilGrids 2.0soilgrids_clay_0-30cm, soilgrids_clay_0-50cm, soilgrids_nitrogen_0-30cm, soilgrids_nitrogen_0-50cm, soilgrids_phh2o_0-30cm, soilgrids_phh2o_0-50cm, soilgrids_sand_0-30cm, soilgrids_sand_0-50cm, soilgrids_soc_0-30cm, soilgrids_soc_0-50cm | — | Poggio, L., de Sousa, L.M., Batjes, N.H., Heuvelink, G.B.M., Kempen, B., Ribeiro, E. and Rossiter, D. (2021) SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL 7, 217-240 -- https://doi.org/10.5194/soil-7-217-2021. ISRIC - World Soil Information, licensed CC-BY 4.0. Averaged by HESTIA from ISRIC's 1 km aggregates of the 250 m maps onto the HWSD 0.01 degree grid, with the depths re-binned to 0-30 and 0-50 cm by thickness, so the values are not the source's own. | CC BY 4.0 |
SoilGrids 2.0soilgrids_clay_depth_1, soilgrids_clay_depth_2, soilgrids_clay_depth_3, soilgrids_clay_depth_4, soilgrids_nitrogen_depth_1, soilgrids_nitrogen_depth_2, soilgrids_nitrogen_depth_3, soilgrids_nitrogen_depth_4, soilgrids_phh2o_depth_1, soilgrids_phh2o_depth_2, soilgrids_phh2o_depth_3, soilgrids_phh2o_depth_4, soilgrids_sand_depth_1, soilgrids_sand_depth_2, soilgrids_sand_depth_3, soilgrids_sand_depth_4, soilgrids_soc_depth_1, soilgrids_soc_depth_2, soilgrids_soc_depth_3, soilgrids_soc_depth_4 | — | Poggio, L., de Sousa, L.M., Batjes, N.H., Heuvelink, G.B.M., Kempen, B., Ribeiro, E. and Rossiter, D. (2021) SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL 7, 217-240 -- https://doi.org/10.5194/soil-7-217-2021. ISRIC - World Soil Information, licensed CC-BY 4.0. Averaged by HESTIA from ISRIC's 1 km aggregates of the 250 m maps onto the HWSD 0.01 degree grid, with the depths re-binned to 0-20, 20-40, 40-60 and 60-80 cm by thickness, so the values are not the source's own. | CC BY 4.0 |
SoilGrids 2.0soilgrids_histosols | — | Hengl, T. et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE 12(2): e0169748 -- https://doi.org/10.1371/journal.pone.0169748. The WRB Histosols probability as distributed with SoilGrids by ISRIC - World Soil Information, licensed CC-BY 4.0. Averaged by HESTIA from the 250 m map onto the 1/120 degree grid of histosols_corrected. | CC BY 4.0 |
TerraClimate v1.1TERRACLIMATE | potentialEvapotranspirationAnnual, potentialEvapotranspirationLongTermAnnualMean, potentialEvapotranspirationMonthly | ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate Abatzoglou, J.T., Hegewisch, K.C., Yin, C. and D.A. Kalashinkov, 2026, TerraClimate v1.1, An Updated Global Climate and Climatic Water Balance Dataset -- https://www.climatologylab.org/terraclimate.html. NOTE: these rasters are v1.1 (WorldClim v2.1 + ERA5), which is NOT the v1.0 (CRU Ts4.0 + JRA55) that Earth Engine's IDAHO_EPSCOR/TERRACLIMATE serves; values differ by -12% to +18%. See the warning in this archive's README. | TO BE CONFIRMED |
WWF Terrestrial EcoregionsTerrestrial_Ecoregions_World | ecoregion | WWF Terrestrial Ecoregions of the World -- https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world | CC BY-NC 3.0 — Non-commercial use; cite Olson et al. 2001 and note any change to boundaries, names or classes. |