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The genetics of East African populations: a Nilo-Saharan component in the Afr...
Includes Supplementary Figures S1-S13, Supplementary Tables S1-S8 and Supplementary Methods. Suppl. Fig. S1: Principal component analysis of the new populations genotyped from... -
Replication data for: The etymology of opaque place names based on a cognitiv...
Statistics DB to relate toponymic segments with geographic characteristics. The software used was the Statistical Analysis System (SAS) v9.4, created by the SAS Institute Inc.... -
Data from Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) u...
Data associated to the research entitled "Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing" published in Sensors –... -
Biogeography Scheldt Estuary
Taxonomy database of the Western and Sea Scheldt from the of the Netherlands Institute of Ecology; Centre for Estuarine and Marine Ecology; Department of Ecosystem Studies -
LBMRev
The primary aim for this data collection was to built a database and to apply GIS techniques in the Gulf of Trieste and North Adriatic Sea -
Biogeographic data from BODC - British Oceanographic Data Centre
Partial contribution from the British Oceanographic Data Centre's databases (see below for details on status). -
Landscape composition of landuse classes from detailed land cover map and sha...
Based on detailed land cover map created by LandKlif project, we calculated the landscape composition as well as shannon diversity based on land use class (LUclass) for 100 -... -
Edge density of landuse patches from detailed land cover map in series of buf...
Based on detailed land cover map created by LandKlif project, we calculated the edge density of landuse patches (the sum of the lengths in meter of all edge segments of LUclass... -
Climate and landscape variables of study plots in LandKlif project
LandKlif project aims at studying the effects of climate change on biodiversity and ecosystem services in different landscape types. We used the Bavaria quadrants as a... -
Climate and landscape variables of Bavaria quadrants in LandKlif study design
LandKlif project aims at studying the effects of climate change on biodiversity and ecosystem services in different landscape types. We used the Bavaria quadrants as a... -
Water Availability (wa)
Water balance: Let ETi be the daily actual evapotranspiration [mm] (calculated by the daily surface latent heat flux) then WA is the daily average of the difference of the daily... -
Water Availability (wa) * old
Water balance: Let ETi be the daily actual evapotranspiration [mm] (calculated by the daily surface latent heat flux) then WA is the daily average of the difference of the daily... -
Very Warm Days Percent (tx90p)
cdo -eca_tx90p -ydrunpctl,90,5 TXref.nc -ydrunmin,5 TXref.nc -ydrunmax,5 TXref.nc out.nc Percentage of warm days: Let TXt be the daily maximum temperature on day tand let TXin90... -
Very Hot Days (tx35)
cdo -yearsum -gtc,35 TX.nc out.nc Number of Extreme Hot Days: Let TXt be the daily maximum temperature on day t. For tx35 count all days in one year where TXt > 35°C. Climate... -
Warm Nights Percent (tn90p)
cdo -eca_tn90p -ydrunpctl,90,5 TNref.nc -ydrunmin,5 TNref.nc -ydrunmax,5 TNref.nc out.nc Percentage of warm nights: Let TNt be the daily minimum temperature on day t and let... -
Warm Spell Index (hwfi)
cdo -eca_hwfi TG.nc -ydrunpctl,90,5 TGref.nc -ydrunmin,5 TGref.nc -ydrunmax,5 TGref.nc out.nc Warm-spell days index / Duration of Heat Wave: Let TGi be the daily mean... -
Total Precipitation in Rainy Season (rtotrs)
cdo -yearsum -ifthen -gec,1 RRmask.nc RRmask.nc out.nc Annual precipitation sum in rainy season: Let RRt be the daily precipitation amount on day t. For rtotrs sum up RRt for... -
Total Precipitation (rtot)
cdo -yearsum -ifthen -gec,1 RR.nc RR.nc out.nc Annual precipitation sum: Let RRt be the daily precipitation amount on day t. For rtot sum up RRt for all days in one year where... -
Remote Sensing Indicators: Forest Cover
Predicted monthly forest cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective forest cover values the STARFM... -
Remote Sensing Indicators: Land Surface Albedo
Monthly prediction of Land Surface Albedo in a spatial resolution of 1 km x 1 km based on MODIS and AVHRR datasets. for the prediction of the retrospective albedo values the...