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  • 1
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    PANGAEA
    In:  Supplement to: Domisch, Sami; Friedrichs, Martin; Hein, Thomas; Borgwardt, Florian; Wetzig, Annett; Jähnig, Sonja C; Langhans, Simone D (2019): Spatially explicit species distribution models: A missed opportunity in conservation planning? Diversity and Distributions, 25(5), 758-769, https://doi.org/10.1111/ddi.12891
    Publication Date: 2023-01-13
    Description: Each .zip file contains: - the model predictions for spatial and non-spatial SDMs (non-spatial=zib, spatial=zib_icar) for each realm in a .RData object. This is a shapefile where each column in the attribute table holds the semi-binary model predictions (zero below TSS threshold, original probabalistic value above the threshold). - model evaluation scores for each species (see species_sequence.txt) - the spatial conservation plan for each %-target (10-90%), using spatial and non-spatial SDMs. Each run (e.g., 10%) comes in a .Rdata object and holds a data.frame that can be linked to the shapefile (see above) using the ID-column All data comes in the WGS84 projection and can be open with the freeware "R". The Gurobi-files can be directly merged to the spatial shapefiles which are stored in the RData object.
    Keywords: File format; File name; File size; LATITUDE; LONGITUDE; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-01-30
    Description: In the species_probs_per_resolution file you will find 10 csv files. For each modelled resolution one file. The file indicates the basin ID and the predicted habitat suitability for each of the 50 species. In the Master_basins-Files you will find the geopackages for each resolution. This gives you the spatial arrangement of each basin and the ID of each basin. Basins were created in GRASS-GIS using the r.watershed command and the number behind the basin files indicates the threshold used in r.watershed to create the basins.
    Keywords: Austria; Danube; Danube_Ger_Aus; File format; File name; File size; fish; Germany; MAUP; MULT; Multiple investigations; SDM; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-06-12
    Description: The data contains vulnerability estimates (climate niche factor analysis) for 49 native fish species in the upper Danube River basin. The upper Danube River basin is mainly located in Germany and Austria. The time frame covered is 300 years from 1800 to 2100 including two Representative Concentration Pathways, RCP 4.5 and RCP 8.5. Vulnerability estimates are calculated for three time frames (1800-1830; 1900-1930and 2070-2100 (including two RCPs)) with the time frame 1970-2000 as the baseline.
    Keywords: Auswirkungen des Globalen Wandels auf Fließgewässerökosysteme; Binary Object; Binary Object (File Size); Binary Object (Media Type); Climate change; Danube; Danube_Ger_Aus; Discharge; File content; fish; GLANCE; MULT; Multiple investigations
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
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