Data from: Assessment of Acetochlor Use Areas in the Sahel Region of Western Africa Using Geospatial Methods Hoogeweg CG, Kearns BV, Pai N, Thomas MA, van Wesenbeeck I, Kirk A, Baxter J. Date Published: March 20, 2020 Dryad Digital Repository DOI: https://doi.org/xxxxxxxxxxx Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. Institution: Acetochlor Registration Partnership (ARP) Author: C.G. Hoogeweg Waterborne Environmental, Inc. 897B HArrison Street SE Leesburg VA 20175 hoogewegg@waterborne-env.com Data format: file Geodatabase Data fileName: CILSS_PlosOne.gdb (distrubted as zip) Data Organization & files: CILSS_BND - Vector based dataset representing the countries in the CILSS considered in this assessment LU_PUA - Raster layer represeinting the Potential Use Area (PUA) of acetochlor in the CILSS PUA_ARP - Raster layer representing soils adhering to the ARP (www.arpinfo) 3-2-1 soil criteria PUA_ARP_SGW - Vector layer representing the ARP 3-2-1 soils within the potential use areas overlapping shallow (<9.0m) groundwater PUA_ARP_SW - Vector layer representing the ARP 3-2-1 soils that are adjacent to surface waterbodies such as rivers in the CILSS OS: Windows 10 Pro with ArcGIS Desptop 10.6.1 (Open source alternative: QGIS - www.qgis.org) Compression software 7zip (7zip.com) Source Data The data underlying the results presented in the study are available from a variety or resources. Key input data is available from six different resources. Land use data used is from the ESA Globcover (8 – Bontemps et al., 2009) dataset. This dataset can be downloaded from http://due.esrin.esa.int/files/Globcover2009_V2.3_Global_.zip. Crop production information for maize and cotton was gleaned from the mapSPAM crop production data (9 - You et al., 2017). This dataset can be downloaded from http://mapspam.info. Sols information (sand, organic matter, and USDA texture) for the top 15cm was obtained from the 250m SoilGrid (10 – Hengl, 2017) dataset. Individual layers can be downloaded from https://soilgrids.org/. Surface water information was obtained from two different sources. Hydrosheds (11 - Lehner et al., 2008) and ESRI World Hydro base were used in this assessment. Hydrosheds can be downloaded from https://hydrosheds.org/ and the ESRI’s World Hydro Base map (12 - ESRI, 2017) can be downloaded from https://www.arcgis.com/home/item.html?id=e0b966561f41496386771fbaf621fd63. The average depth to groundwater table dataset (13 - Fan et al., 2013) used in this assessment can be downloaded via the Global Water Scarcity Information Service, at http://thredds-gfnl.usc.es/thredds/catalog/GLOBALWTDFTP/catalog.html. This layer is the result of a combination between the potential use areas in soils adhering to the ARP 3-2-1 soils. Soils adhering to the ARP 3-2-1 soils criteria were extracted from the combined texture-organic matter dataset. Soils of interest included “sand” with < 3.0% OM, “loamy sand” with < 2.0% OM, and “sandy loam” with < 1.0% OM