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Balances are calculated for 1970, 1990, 2010, 2020 and 2050 for three different Shared Socio-economic Pathways (SSP). \n\nThe climate scenarios are represented as combination of SSP-RCP-N (shared…","state":"published","temporalExtentText":"Data collected from 1990 to 2050","title":"Integrated Model to Assess the Global Environment (IMAGE) Global Nutrient Model (GNM) global simulations for Nitrogen balances by country, for the years 1970, 1990, 2010, 2020 and 2050","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["European Commission, Joint Research Centre"],"availability":"Unknown","catalogue":"inms","dataFormat":["Comma-separated values (CSV)","NetCDF"],"description":"It includes emissions time series and gridmaps for CO2, CH4 and N2O. 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","documentType":"GEMINI_DOCUMENT","familyName":["Crippa","Oreggioni","Guizzardi","Muntean","Schaaf","Solazzo"],"fullName":["Crippa, M.","Oreggioni, G.","Guizzardi, D.","Muntean, M.","Schaaf, E.","Solazzo, E."],"givenName":["Monica","Gabriel","Diego","Marilena","Edwin","Efisio"],"identifier":"0466dd11-0b69-4c66-b82b-a017d9714bf9","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"The emissions in EDGAR are estimated based on the activity data from the international statistics (e.g. IEA, USGS, IFA, FAO etc.) and emissions factors from the official guidebooks such as IPCC and EEA/EMEP, and scientific literature. 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Data are presented for all countries, with emissions provided per main source category, and spatially allocated on a 0.1x0.1 grid over the globe.","documentType":"CEH_MODEL","identifier":"43a222b0-b7dc-4b54-90e9-855d2f52c950","incomingCitationCount":0,"keyword":["INMS"],"metadataDate":"2024-11-04T09:27:02.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/41178be8-1daa-4511-8648-011e4277549a","https://data.inms.international/id/43a222b0-b7dc-4b54-90e9-855d2f52c950"],"resourceType":"Model","shortenedDescription":"The Emissions Database for Global Atmospheric Research (EDGAR) provides independent estimates of the global anthropogenic emissions and emission trends, based on publicly available statistics, for the atmospheric modeling community as well as for policy makers. This…","state":"published","title":"Emissions Database for Global Atmospheric Research (EDGAR)","version":1.0,"view":["public","leav","inms-users"]},{"authorAffiliation":["PBL – Netherlands Environmental  Assessment Agency"],"availability":"Unknown","catalogue":"inms","dataFormat":["TIFF"],"description":"The datasets display the loss of plant biodiversity due to nitrogen deposition in the world in two past years (1970 and 2010) and six modelled scenarios for 2050. \nThe datasets have been created by the GLOBIO 4 model.","documentType":"GEMINI_DOCUMENT","identifier":"3fb43167-0d9b-43ba-bea4-230c64701f10","incomingCitationCount":1,"inmsScale":["Global"],"keyword":["INMS","Global"],"keywordsOther":["Global"],"keywordsProject":["INMS"],"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2025-12-15T15:57:46.000Z","organisation":["UK Centre for Ecology & Hydrology","INMS","PBL – Netherlands Environmental  Assessment Agency"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/3fb43167-0d9b-43ba-bea4-230c64701f10"],"resourceType":"Dataset","shortenedDescription":"The datasets display the loss of plant biodiversity due to nitrogen deposition in the world in two past years (1970 and 2010) and six modelled scenarios for 2050. \nThe datasets have been created by the GLOBIO 4 model.","state":"published","temporalExtentText":"Data collected from 1970 to 2050","title":"GLOBIO-terrestrial nitrogen deposition impacts on plant mean species abundance (MSA) for the years 1970, 2010 and 2050","version":1.0,"view":["public","ccaporusso@gmx.com"]},{"catalogue":"inms","description":"GLOBIOM is a global economic bottom-up agricultural and forest sector model. The model is based on a detailed spatially explicit grid and estimates economic and environmental impacts, incl. nutrient balances, tightly linked with bio-physical process based models like EPIC. The model is typically used for scenario analysis in medium (2030), long (2050), and very long (2100) time horizon.","documentType":"CEH_MODEL","identifier":"681deb6d-25f4-45e1-86bc-74935aa29fdf","incomingCitationCount":0,"keyword":["INMS"],"metadataDate":"2024-11-04T09:24:25.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5e6e20a8-db5f-4aa0-b11a-44e5838827b1","https://data.inms.international/id/681deb6d-25f4-45e1-86bc-74935aa29fdf"],"resourceType":"Model","shortenedDescription":"GLOBIOM is a global economic bottom-up agricultural and forest sector model. 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The hydrological system incorporates a distributed river model that merges both terrestrial and aquatic aspects and includes groundwater and upland areas,  wetlands, riparian zones and floodplains, and reservoirs.","documentType":"CEH_MODEL","identifier":"9bf0cca0-49d3-4119-afa5-f16a2f2491e9","incomingCitationCount":0,"inmsScale":["Global"],"keyword":["Water Quality","Global","Soil","Nitrogen","Phosphorous","Scenario Model","INMS"],"metadataDate":"2024-11-04T09:31:10.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/29b66950-385f-43d6-8a55-7e431fcad0c9","https://data.inms.international/id/9bf0cca0-49d3-4119-afa5-f16a2f2491e9"],"resourceType":"Model","shortenedDescription":"The IMAGE-GNM is a global, spatially explicit, distributed model that couples IMAGE (with the global hydrological model PCRaster Global Water Balance (PCR-GLOBWB)) as the basis for describing flow and retention/removal of N and P delivery from soils to surface waters.…","state":"published","title":" IMAGE GNM - Integrated Model to Assess the Global Environment - Global Nutrient Model","version":1.0,"view":["public","leav","inms-users"]},{"authorAffiliation":["European Commission,  Joint Research Centre"],"authorFamilyName":["Van Dingenen"],"authorFullName":["Van Dingenen, R."],"authorGivenName":["Rita"],"authorOrcid":["0000-0003-2521-4972"],"availability":"Available","catalogue":"inms","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"This dataset is a model output from the TM5-Fast Scenario Screening Tool (TM5-FASST) which computes the wet and dry annual deposition of NOy, NHx and the sum of both, and monthly AOT40 and total surface ozone gridded on the global domain at 0.5°x0.5° resolution. 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