Found 5 datasets

Datasets Project Group Resources

Response to Comment by Brovkin and Claussen on “Climate-Driven Ecosystem Succession in the Sahara: The Past 6000 Years” doi Temporal

The Lake Yoa record and archaeological data provide adequate evidence that mid-Holocene aridification did not occur abruptly across all of North Africa. Modeling results on the issue of abrupt versus gradual desiccation of the Sahara are sufficiently diverse that paleoecological data from a continuous natural archive can usefully guide the evaluation of model parameters responsible for this diversity.
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Towards a Reconstruction of Land Use Potential - Case Studies from the Western Desert of Egypt doi Spatial Temporal

This chapter is situated in the field among archaeology, geomorphology, and ecology. Two case studies from different east-Saharan landscape units classify and analyse archaeological, geoscientific, and remote-sensing data of Early and Mid-Holocene archaeological sites. The section combines the approaches of landscape ecology and landscape archaeology. The aim is a parameterisation of the research areas with respect to structural and ecological features. The data were used within a Geographical...
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Köppen-Geiger classification of MPI-ESM-P Mid-Holocene simulation SFB806 doi Spatial Temporal PaleoMaps

This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P Mid-Holocene (6k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
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pyGRASS implementation of Köppen-Geiger classifications from CMIP5 simulations SFB806 doi Spatial Temporal

Python based pyGRASS scripts implementing Köppen-Geiger climate classifications from CMIP5 and PMIP3 climate model simulation datasets. And a script for computation of area statistics of the classification data, as well as documentation for using the scripts and accessing the source climate simulation data.
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BIOME 4-2 Shapefiles Spatial Temporal PaleoMaps

BIOME v4.2 Dataset processed as geodata in Shapefile format for the use with geospatial applications (GIS) Attribution/References: Harrison, S. P., and Prentice, I. C. (2003). Climate and CO2 controls on global vegetation distribution at the last glacial maximum: analysis based on palaeovegetation data, biome modelling and palaeoclimate simulations. Global Change Biology 9, 983-1004.
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