42 documents found in 127ms
# 1
Johanna Dreier
Abstract: The Epigravettian site of Blazi cave represents so far the only undisturbed and securly dated Epigravettian site in Albania. The new data fill a research gap for the time of the Late Upper Palaeolithic in the Eastern Adriatic. During the GAP (German-Albanian Palaeolithic research project) campaign in 2015, a large sample of stone artefacts and animal bones was excavated. Their spatial distribution and good preservation indicate an in situ position of the archaeological layer. The tool spectrum contains a high ratio of backed bladelets and microgravette points, typical components of an Epigravettian assemblage. The faunal remains, mainly ibex, exhibit numerous cut and percussion marks, characterising Blazi cave as a specialised ibex hunting site.
# 2
Christian Willmes
Abstract: To provide paleoenvironmental data for a GIS and geostatistic based Species Distribution Modelling (SDM) application, this comprehensive GIS data set was created. The data set consists of DEM based topography, and of paleoclimate layers, that were used as environmental predictor variables for SDM application.
# 3
Janina Bösken • Christian Zeeden • Nicole Klasen
Abstract: This proxy dataset corresponds to the published article Bösken et al. (2017) and comprises grain size, geochemical, geomagnetic and luminescence data of the Bodrogkeresztúr loess-paleosol sequence in northeastern Hungary. Reference Bösken, J., Obreht, I., Zeeden, C., Klasen, N., Hambach, U., Sümegi, P., and Lehmkuhl, F. (in press). High-resolution paleoclimatic proxy data from the MIS3/2 transition recorded in northeastern Hungarian loess. Quaternary International.
# 4
Frank Lehmkuhl • Stephan Pötter • Annika Pauligk • Janina Bösken
Abstract: Geo- and palaeoecological studies focusing on the late Pleistocene require a detailed knowledge of the spatial distribution of aeolian sediments. In Germany existing maps are either on large scales, have a regional focus or show significant inaccuracies such as artificial boundaries within different geological units. To obtain a more detailed, seamless map of the distribution of aeolian sediments and their potential source areas, we combined and reanalysed available geo-data, using a Geographical Information System. The resultant maps (scale: approx.1:2,600,000) show the link between source areas and the late Quaternary aeolian deposits in Germany and can provide one context for further work on e.g. palaeogeographical studies. This work was compared with other already published datasets and the problems of sediment mapping at a small scale were discussed. Keywords: aeolian sediments; dust sources; spatial data; GIS; Central Europe This geodata corresponds to the following article and shall be quoted as such using the provided DOI: Lehmkuhl, F., Pötter, S., Pauligk A., Bösken, J. (2018). Loess and other Quaternary sediments in Germany. Journal of Maps. Shapefiles provided under doi.org/xxx.
# 5
Isabell Schmidt • Zimmermann
Abstract: CRC 806 “Our Way to Europe” – Project E1 Population Dynamics: Demographic Changes of Hunter-Gatherer Populations during the Upper Pleistocene and Early Holocene in Europe Principal Investigator: Prof. Dr Andreas Zimmermann PostDoc: Dr Isabell Schmidt THE CURRENT DATABASE VERSIONS ARE FOR INTERNAL USE BY MEMBERS OF THE CRC 806 ONLY, IN AGREEMENT WITH THE RESPECTIVE AUTHORS (see below) General information: Databases used (revised and extended) within this work were courtesy provided by: Jean-Pierre Bocquet Appel INQUA – Radiocarbon Palaeolithic Europe Database (Pierre Vermeersch) Legend: #ID: Identification number given within the current database system #Site: most common spelling, starting with main name – comma – article [optional: comma – different spellings, different names of the site] #Longitude: Decimal Degrees, World Geodetic System 1984 #Latitude: Decimal Degrees, World Geodetic System 1984 #Country: Name of country (English spelling) #Kind_of_site: 0 = no information; 1 = cave/abri; 2 = open-air site #Quality: 0 = excluded (previous attribution proved wrong, no data); 1 = secure attribution (assemblage size, radiometric data, stratigraphy, diagnostic tools); 2 = possible attribution (small assemblage, no radiometric data, insecure context, few/no diagnostic tools) MAG=Magdalenian; LGM=Last Glacial Maximum; GRA=Gravettian; EUP=Early Upper Paleolithic (Aurignacian) Authors to contact: MAG: Dr Inga Kretschmer (Inga.Kretschmer_at_rps.bwl.de) LGM and GRA: Dr Andreas Maier (and.maier_at_fau.de) EUP: Dr Isabell Schmidt (isabell.schmidt_at_uni-koeln.de) Database revision with the help of: Andreea Darida (E1 student assistant)
# 6
Frank Lehmkuhl • Janina Bösken • Jan Hošek • Tobias Sprafke • Slobodan B. Marković • (et. al.)
Abstract: This set of data depicts the distribution of loess and related Quaternary sediments in the Carpathian Basin. Using a Geographic Information System (GIS), we compiled a map showing the distribution of loess and related Quaternary sediments in the Carpathian Basin, with unprecedented detail. We vectorized and analyzed existing data (mainly from geological maps) and combined and transferred these into a common (loess) sediment classification system. This cross-border map shows the distribution of eolian sediments in the Carpathian Basin at a scale of 1:1,500,000. Here, we publish the original data set used in Lehmkuhl et al. (2018). The reader is referred to the article regarding information on geoprocessing and standardization. Furthermore, we attribute the shapefiles of the used source maps by various authors, in order to facilitate further usage. Please quote the dataset and article when using this data. References: Lehmkuhl, F., Bösken, J., Hošek, J., Sprafke, T., Marković, S., Obreht, I., Hambach, U., Sümegi, P., Thiemann, A., Steffens, S., Lindner, H., Veres, D., Zeeden, C. (2018): Loess distribution and related Quaternary sediments in the Carpathian Basin. – In: Journal of Maps
# 7
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: 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.
# 8
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: 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.
# 9
Christian Willmes • Daniel Becker • Christoph Hütt • Sebastian Brocks • Georg Bareth
Abstract: 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.
# 10
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: 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.
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