Data

Our research interests in palaeo-studies in East Africa remain high, partly because of the Out-of-Africa hypotheses predicting Homo sapiens origin to be situated in East Africa. Since several decades archaeologists and geoscientists explore suitable sites to answer related questions. Simultaneously, analytical methods applied to the archives improved in their sensibility or resolution over the given time. The amount of published scientific data is enormous, but has to be carefully checked on their...

Die Bewohner einer archäologischen Fundstätte müssen sich regelmäßig mit Ressourcen versorgen, dabei geht man davon aus, dass die Fläche die er dazu nutzen kann, durch seine fußläufige Mobilität begrenzt ist. Die Geschwindigkeit mit der der Mensch sich durch seine Umwelt bewegen kann, ist dabei, neben seiner physiologie, maßgeblich durch topographische Faktoren beeinflusst. Die Arbeit untersucht die Möglichkeit mit Hilfe von Berechnung der hangneigungsabhängigen Gehgeschwindigkeit Einzugsgebiete (Site...

One of the main objectives of the Collaborative Research Centre 806 (CRC 806) is to capture the complex nature of chronology, regional structure, climatic, environmental and socio-cultural contexts in Europe during the last 190.000 years, by interdisciplinary research. This poster presents the first results of a collaboration between projects C1 and Z2 of the CRC 806 that aims to use SCA for sites from the Solutrean and Magdalenian on the Iberian Peninsula. Contribution to the overall research of the CRC...

This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P PreIndustrial r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.

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.

This geospatial dataset, in raster and vector format, is a Köppen-Geiger climate classification of the MPI-ESM-P Last Glacial Maximum (21k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.

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.

Office map of Gabun (project E3), size DIN A0

Field map Gabun (project E3)

This dataset represents palaeo climate classification according to the updatede Köppen-Geiger [1] classification scheme. The classifiaction is derived from the PMIP2 [2] palaeoenvironmental simulations data for the time virables of LGM (21k), Mid-holocene (6k) and Pre-Industrial (0k). For the LGM, a LandMask consisting of the -120m coastline [3] was used, for the Mid-Holocene and Pre-Industrial classifications the coastlines of today [4] wehere used. [1] MARKUS KOTTEK, JÜRGEN GRIESER, CHRISTOPH BECK,...

Field maps Macedonia (B2)

Field maps Morocco (project C2)