The Climate Change ATLAS (CSIC, https://github.com/SantanderMetGroup/ATLAS) provides climate change information for essential climate variables generated from CMIP and CORDEX international initiatives. There are different data cubes for experiment and variable providing climate projections for 1) three reference future periods (2021-2040, 2041-2060, 2080-2100) for RCP 2.6 an 8.5 scenarios with respect to the baseline reference period 1981-2010, and 2) three Global Warming Levels (1.5, 2 and 3 degC, obtained from the RCP8.5 scenario), with respect to preindustrial values (as characterized by the 1850-1900 period). The list of experiments and models used is available at https://github.com/SantanderMetGroup/ATLAS/tree/master/AtlasHub-inventory

The FGGD crop suitability maps at low, intermediate and high levels of inputs under rainfed conditions on global land area are global raster datalayers with a resolution of 5 arc-minutes. Each pixel contains the 2005 version of the suitability index for rainfed production of the crop or crop group concerned. The method and crop coverage of each crop group are described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

Coastline of the world extracted from Vector Map Level 0 and converted to Arc/Info format by FAO/GIS. Vector Map (VMap) Level 0 is an updated and improved version Digital Chart of the World (DCW).

The FGGD suitability map using maximising crop and technology mix is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains the suitability index for rainfed crops, using maximising crop and technology mix, 2005 version. The method is described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

Map showing 35 lengths of growing period zones for the developing world. Digital version of "Major Climatic Divisions" derived from the Agro-Ecological Zones Project, made by FAO in 1978. Refer to World Soil Resources Report 48, Vol. 1 Methodology and Results for Africa; Vol. 2 Results for Southwest Asia; Vol. 3 Methodology and Results for South and Central America; Vol. 4 results for Near East.

The FGGD multiple cropping zone map under rainfed conditions on currently available land is a global raster datalayer with a resolution of 5 arc-minutes. Pixels classified as urban, closed forest or irrigated contain negative values. Each remaining pixel contains contains the 2005 version of the suitability index for multiple cropping on the land area of the pixel. The method is described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD crop suitability maps at low, intermediate and high levels of inputs under rainfed conditions on currently available land are global raster datalayers with a resolution of 5 arc-minutes. Pixels classified as urban, closed forest or irrigated contain values of zero. Each remaining pixel contains the 2005 version of the suitability index for rainfed production of the crop or crop group concerned. The method and crop coverage of each crop group are described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD crop suitability maps at low, intermediate and high levels of inputs under rainfed conditions on global land area are global raster datalayers with a resolution of 5 arc-minutes. Each pixel contains the 2005 version of the suitability index for rainfed production of the crop or crop group concerned. The method and crop coverage of each crop group are described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD suitability map using maximising crop and technology mix is a global raster datalayer with a resolution of 5 arc-minutes. Pixels classified as urban, closed forest or irrigated contain negative values. Each remaining pixel contains the suitability index for rainfed crops, using maximising crop and technology mix, 2005 version. The method is described in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The ISO19115 metadata standard is the preferred metadata standard to use. If unsure what templates to start with, use this one.