1 to 10 of 54 Results
May 23, 2025 - MangPrim-21
Hamilton, Stuart; Presotto, Andrea, 2025, "WRP and MdB LUC output Geotiffs", https://doi.org/10.7910/DVN/1ENWAS, Harvard Dataverse, V1
The output rasters for the WRP LUC analysi and the MdB LUC Analysis |
Apr 11, 2025
Human Footprint geospatial raster data for Brazil at 10 m resolution. For assessing the human impact on the environment for species that operate at more granular scales. This dataset is built with the impact on non-human primates at the forefront, but is helpful for any species that prefers undisturbed habitats but interacts at more localized level... |
Apr 11, 2025 - GMC-21
Hamilton, Stuart; Presotto, Andrea, 2025, "Replication Data for: GMC-21 Relevant Code", https://doi.org/10.7910/DVN/7V9M9C, Harvard Dataverse, V1
Relevant code was used to download the data and construct the database. |
Jun 3, 2024 - MangPrim-21
Hamilton, Stuart; Presotto, Andrea, 2024, "Boa Visa 5-band Color-IR UAV Imagery", https://doi.org/10.7910/DVN/I0CYVV, Harvard Dataverse, V2
Boa Vista 5-band multispectral imagery |
Mar 21, 2024 - GMC-21
Hamilton, Stuart; Presotto, 2024, "GMC-21 2000-2020 Raster and Vector Outputs", https://doi.org/10.7910/DVN/GSOQNZ, Harvard Dataverse, V1
2000 - 2020 All GMC-21 data for the above years at native resolution in raster format in an ESRI file geodatabase (gdb). All GMC-21 data for the above years at native resolution in raster format in GeoTIFF format (tiff). All GMC-21 data for the above years at native resolution in vector polygon shapefile format (shp). Con = Continuous raster data (... |
Mar 21, 2024
GMC-21 The absence of a high-resolution, long-term global database for monitoring mangrove forests has created a gap in researchers’ ability to analyze long-term mangrove forest change rates. To address this gap, we present a new global database that tracks annual global mangrove forest change rates at a high spatial resolution since 2000. By synth... |
Jun 3, 2021 - MangPrim-21
Hamilton, Stuart; Lembo, Arthur; Presotto, Andrea, 2021, "Replication Data for: MangPrim-21: Establishing the Relationship between Non-Human Primates and Mangroves Forests at the Global, National, and Local Scales.", https://doi.org/10.7910/DVN/QRYBYR, Harvard Dataverse, V7
Replication SQL code as per the supplemental methods. Input mangrove forest raster from CGMFC21 Input 511 NHPS Polygons Input 511 NHPS Polygons dissolved into a single Polygon Input NHPS Endangered Polygons Input 511 NHPS\Countries Intersect Polygons Input Global Fishnet |
Jun 1, 2021
MangPrim-21: Establishing the Relationship between Non-Human Primates and Mangroves Forests at the Global, National, and Local Scales. Spatially explicit knowledge of the interaction between mangrove forests and non-human primates is lacking despite the recently recognized importance of mangrove forest habitat to non-human primates. To counter this... |
Mar 19, 2019 - Mangrove_Forests_and_Aquaculture
Hamilton, Stuart; Krach, Noah, 2019, "Excel and tabular compiled survey data", https://doi.org/10.7910/DVN/IVP3RD, Harvard Dataverse, V1, UNF:6:NkWA+FT8aBf8a1frmYHYHg== [fileUNF]
Initial Survey Master Excel (Figure 5.25) Final Survey Master Excel (Figure 5.26) |
Mar 19, 2019 - Mangrove_Forests_and_Aquaculture
Hamilton, Stuart; Noah, 2019, "Final classified LULC Change Tables 5.01 to 5.09", https://doi.org/10.7910/DVN/482JFM, Harvard Dataverse, V1
Chapter 5 Raster Format, GeoTIFF Cayapas-Mataje Estuary final classified LULC analysis data for each year (all of Table 5.01) Muisne Estuary final classified LULC analysis data for each year (all of Table 5.02) Cojimies Estuary final classified LULC analysis data for each year (all of Table 5.03) Muisne Estuary final classified LULC analysis data f... |
