Data Descriptor: Regional-scale management maps for forested areas of the Southeastern United States and the US Paci fic Northwest Matthew Marsik 1,2 , Caroline G. Staub 3 , William J. Kleindl 4 , Jaclyn M. Hall 2 , Chiung-Shiuan Fu 5,6 , Di Yang 5,6 , Forrest R. Stevens 7 & Michael W. Binford 5,6,8 Forests in the United States are managed by multiple public and private entities making harmonization of available data and subsequent mapping of management challenging. We mapped four important types of forest management, production, ecological, passive, and preservation, at 250-meter spatial resolution in the Southeastern (SEUS) and Pacific Northwest (PNW) USA. Both ecologically and socio-economically dynamic regions, the SEUS and PNW forests represent, respectively, 22.0% and 10.4% of forests in the coterminous US. We built a random forest classifier using seasonal time-series analysis of 16 years of MODIS 16-day composite Enhanced Vegetation Index, and ancillary data containing forest ownership, roads, US Forest Service wilderness and forestry areas, proportion conifer and proportion riparian. The map accuracies for SEUS are 89%(10-fold cross-validation) and 67% (external validation) and PNW are 91% and 70% respectively with the same validation. The now publicly available forest management maps, probability surfaces for each management class and uncertainty layer for each region can be viewed and analysed in commercial and open-source GIS and remote sensing software. Design Type(s) time series design • data integration objective • source-based data transformation objective Measurement Type(s) land management Technology Type(s) classifier prediction Factor Type(s) temporal_interval • geographic location Sample Characteristic(s) contiguous United States of America • vegetation layer • road • area of protected biodiversity • military training area • river 1 Integrated Data Repository, Clinical and Translational Science Institute and UF Health, University of Florida, Gainesville, FL 32610, USA. 2 Decision Suppor Services, University of Florida Health, Gainesville, FL 32610, USA. 3 International Programs, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32610, USA. 4 Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA. 5 Department of Geography, University of Florida, Gainesville, FL 32611, USA. 6 Land Use and Environmental Change Institute, University of Florida, Gainesville, FL 32611, USA. 7 Department of Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA. 8 U.S. National Science Foundation, Alexandria, VA 22314, USA. Correspondence and requests for materials should be addressed to M.M. (email: mmarsik@ufl.edu). OPEN Received: 15 November 2017 Accepted: 30 May 2018 Published: 28 August 2018 www.nature.com/scientificdata SCIENTIFIC DATA | 5:180165 | DOI: 10.1038/sdata.2018.165 1