10.7910/DVN/OCYUIT Sanderman, Jonathan Jonathan Sanderman Woods Hole Research Center Harvard Dataverse 2017 Earth and Environmental Sciences mangrove forest soil carbon blue carbon climate mitigation Sanderman, Jonathan Jonathan Sanderman Woods Hole Research Center 2017-06-28 2017-06-28 2019-01-02 10.7910/DVN/OCYUIT/BY6SFR 10.7910/DVN/OCYUIT/VHYLAC 10.7910/DVN/OCYUIT/BSSIA3 10.7910/DVN/OCYUIT/CGNIYW 10.7910/DVN/OCYUIT/BPSVVY 10.7910/DVN/OCYUIT/WUOCAN 10.7910/DVN/OCYUIT/JBHMFI 10.7910/DVN/OCYUIT/P549RN 10.7910/DVN/OCYUIT/JI1VJO 91835449 13983 89215184 398559986 1645127 965744 13983 398668391 83 757609733 2017 76525557 6418 14501 image/tiff text/tab-separated-values image/tiff application/zip application/zipped-shapefile application/zipped-shapefile text/tab-separated-values application/zip text/plain; charset=US-ASCII image/tiff text/xml application/octet-stream text/xml text/tab-separated-values 4.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. Jan 2, 2018 -- Mangrove soil carbon database updated to include reported and calculated bulk density and OC values. Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics 30m data can be quickly visualized at: https://storage.googleapis.com/gfiske1/global_mangrove/index_w_slider.html