3fa5921b-244a-4944-ab90-e690dbc05a7e English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:37 UK GEMINI 2.3 OSGB 1936 / British National Grid Globally available land for soil-based greenhouse gas removal practices for 2000-2014 2023-02-02 publication https://catalogue.ceh.ac.uk/id/3fa5921b-244a-4944-ab90-e690dbc05a7e 10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e doi: Myrgiotis, V., Slevin, D., Vetter, S.H., Aitkenhead, M., Dondini, M., Eory, V., Goglio, P., Harris, J., Hillier, J., House, J., Lefebrve, D., MacLeod, M., Manning, D., Medina-Carmona, C., Mohamed-Yunus, S., Moran, D., Payen, F., Rees, B., Sohi, S., Sykes, A., Williams, M., Williams, A., Wollenberg, L., Smith, P. (2023). Globally available land for soil-based greenhouse gas removal practices for 2000-2014. NERC EDS Environmental Information Data Centre 10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e Global spatial data on yields of wheat, sugarcane and maize at 0.25 and 0.5 degrees resolution for 2000-2014. Annual data on wheat, sugarcane and maize yield have been extracted from agricultural statistics, which are recorded annually at regional and national scale depending on the country. The yield data were spatially disaggregated to produce gridded maps (0.25 and 0.5 degrees spatial resolution) of yields per crop type. The earthstat dataset, which provides gridded data on crop distribution (i.e. a crop mask for 2000q), was used to obtain information on the spatial distribution of wheat, sugarcane and maize across the world. The spatial disaggregation process was repeated for every year between 2000 and 2014. The data were produced to constrain agro-ecosystem carbon cycling estimates used in large-scale atmospheric CO2 inversion studies and to be used as inputs in agro-ecosystem biogeochemistry models. The data are provided in netcdf4 (.nc) format. Full details about this dataset can be found at https://doi.org/10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e Myrgiotis, V. University of Edinburgh v.myrgiotis@ed.ac.uk author Slevin, D. University of Edinburgh darrenslevin@gmail.com author Vetter, S.H. University of Aberdeen sylvia.vetter@abdn.ac.uk author Aitkenhead, M. James Hutton Institute matt.aitkenhead@hutton.ac.uk author Dondini, M. University of Aberdeen marta.dondini@abdn.ac.uk author Eory, V. Scotland's Rural College vera.eory@sruc.ac.uk author Goglio, P. Wageningen University & Research pietro.goglio@wur.nl author Harris, J. Cranfield University j.a.harris@cranfield.ac.uk author Hillier, J. University of Edinburgh Jonathan.Hillier@ed.ac.uk author House, J. University of Bristol jo.house@bristol.ac.uk author Lefebrve, D. Cranfield University D.Lefebvre@cranfield.ac.uk author MacLeod, M. Scotland's Rural College michael.macleod@sruc.ac.uk author Manning, D. Newcastle University david.manning@ncl.ac.uk author Medina-Carmona, C. University of Stirling carmen.rosa.medina-carmona@stir.ac.uk author Mohamed-Yunus, S. Cranfield University sitisyuhaidamohamedyunus@gmail.com author Moran, D. University of Edinburgh Dominic.Moran@ed.ac.uk author Payen, F. Scotland's Rural College florian.payen@sruc.ac.uk author Rees, B. Scotland's Rural College Bob.Rees@sruc.ac.uk author Sohi, S. University of Edinburgh saran.sohi@ed.ac.uk author Sykes, A. Scotland's Rural College alasdair.sykes@sruc.ac.uk author Williams, M. University of Edinburgh Mat.Williams@ed.ac.uk author Williams, A. Cranfield University adrian.williams@cranfield.ac.uk author Wollenberg, L. University of Vermont Lini.wollenberg@uvm.edu author Smith, P. University of Aberdeen pete.smith@abdn.ac.uk author University of Edinburgh EMAIL NOT PROVIDED owner Vetter, S.H. University of Aberdeen sylvia.vetter@abdn.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Agricultural and Aquaculture Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication soil greenhouse gas agricultural ecology GEMET - Concepts, version 4.1.3 2019-01-28 creation Crop yields maize wheat sugarcane otherRestrictions Registration is required to access this data otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Myrgiotis, V., Slevin, D., Vetter, S.H., Aitkenhead, M., Dondini, M., Eory, V., Goglio, P., Harris, J., Hillier, J., House, J., Lefebrve, D., MacLeod, M., Manning, D., Medina-Carmona, C., Mohamed-Yunus, S., Moran, D., Payen, F., Rees, B., Sohi, S., Sykes, A., Williams, M., Williams, A., Wollenberg, L., Smith, P. (2023). Globally available land for soil-based greenhouse gas removal practices for 2000-2014. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e grid 55000 25000 English utf8 environment 2000-01-01 2014-12-31 -180 180 -90 90 NetCDF 4 NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/3fa5921b-244a-4944-ab90-e690dbc05a7e Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/3fa5921b-244a-4944-ab90-e690dbc05a7e.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The data were produced by spatially disaggregating annual agricultural statistics-based estimates of harvest yields for wheat, maize and sugarcane. Annual yield data for wheat, maize and sugarcane were collected from national and international institutions (e.g. Eurostat, USDA, and FAO). This information was (1) combined with gridded data on wheat, sugarcane and maize distribution obtained from the earthstat dataset in order to (2) to produce gridded yield information across the world. Where subnational scale yield data were available (i.e. country, state, region-specific value provided by e.g. Eurostat and USDA) they were used. Where subnational yield data were not available the national average was used. Where no data were available no crop yield estimates have been added to the final gridded dataset.