95 documents found in 120ms
# 1
Jacopo Gennai • Jürgen Richter
Abstract: Bladelets are suggested as the hallmark of Early Upper Palaeolithic (EUP) industries. Bladelet-making is central in defining EUP technocomplexes and the debate is still ongoing. Here, new data on a significant sample of the stratified Early Ahmarian site of Al-Ansab 1 (Jordan) are presented. It is shown that bladelets constitute the majority of the blanks and the goal of the lithic production at the site. They are obtained through unipolar knapping of single platform cores, constraining a central area by means of embedded maintenance blade blanks and flank flakes. Bladelets are defined as the laminar blanks less than 12 mm wide. They are overwhelmingly represented in target products, i.e. straighter and more regular, while blades perform maintenance roles. Bladelet negatives are represented on laminar blanks and cores of all sizes. The presented analysis is part of a PhD project focusing on a comparison between bladelet-makings in different EUP sites along the putative “Eastern Trajectory”.
# 2
Isabell Schmidt
Abstract: The dataset provides area-size data on raw-material-polygons - currently for internal use only.
# 3
Hannah Parow-Souchon
Abstract: This Appendix contains further information on different topics of Hannah Parow – Souchon's PhD thesis (2019) The Wadi Sabra - A contextual approach to the Palaeolithic Landscape, listed as follows: 1) Methodology 2) Further material on the Wadi Sabra sites 3) Spearmans rs correlations for the diversity index and tool inventory size 4) Type list transformation reference 5) Faunal species used/not used in the calculations 6) Sites represented in the different chapters 7) Typological designation of the sites used in the thesis 8) R-Code for CCA and Postfit (with pers. comm. Georg Roth) 9)- 11) Further material on the CCA 1 -12 calculations 12) Blank counts dataset Plate I – Plate CXXXII
# 4
Michael Holthausen
Abstract: This master’s thesis deals with species distribution modeling (SDM) for eight selected prey animals of the Neanderthals and the anatomically modern human within the framework of the Collaborative Research Center 806 ("Our way to Europe"). This research was realized for three methods in three climatically different time slices during the Late Pleistocene. One profile method, one regression method and one machine learning method were used. A model was developed that performs these three methods in order to obtain a potential distribution of the paleofauna in the Late Pleistocene and to link it to the dispersal of humans in this region. The results show that all three methods predict conditions for the presence of the species which may have hunted from both Neanderthals and anatomically modern humans. However, there are differences in the predicted regions between the individual methods for each species. Another task was to determine the best performing method. Based on this work, MaxEnt, a machine learning method, emerged as the best performing method among the applied methods.
# 5
Michael Holthausen
Abstract: This dataset is related to the master's thesis "Distribution modeling of paleofauna in the Western Mediterranean between the Heinrich events H5 and H4". The aim of the work was to generate a model for species distribution in the Western Mediterranean and to determine the best method in this context. By applying three different methods (Bioclim, GLM, MaxEnt) from the dismo package, R was used to predict the distribution of eight cold-adapted prey species in the Late Pleistocene. The Geographic Information System (GIS) QGIS was used to produce the maps which are discussed in the master's thesis and presented there in extracts. The complete dataset is stored within this entry. The supplementary data (supp_dat.zip) contains the result maps of all species and all time slices as image file, the source code in R, and the raw value results as GeoTIFF. Additional data (add_dat.zip) contains all output files generated through the modeling process. References Hijmans, R. J., Elith, J., 2017. Species distribution modeling with R. https://cran.r-project.org/web/packages/dismo/vignettes/sdm.pdf, 2018-9-12. QGIS Development Team, 2018. QGIS Geographic Information System (QGIS) Software, Version 3.2. Op en Source Geospatial Foundation. http://qgis.osgeo.org, 2018-9-12 R Core Team, 2018. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R- project.org, 2018-9-12.
# 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
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)
# 8
Zickel,, Mirijam, • Gehlen,, Birgit, • Willmes,, Christian,
Abstract: The GIS dataset contains 19 recent geological formation/ deposit shapefiles that keep lithic raw material used during the Mesolithic also as the Paleolithic and Neolithic period. The geological data was gained from published digital maps (Carte géologique du Grand-Duché de Luxembourg 1998, GÜK200 2007, NRW: IS GK 100 DS 2009, Surface lithology (INSPIRE) 2016) whereas archaeological site inventory and lithic raw material distribution data was gained during the D4 project phase (CRC 806). Further, out of the D4 project database 6 additive datasets where created describing the location of a singular Meuse gravel flint deposit in Hambach, former tertiary quartzite and chalcedony sources (Floss 1994), outcrop locations from raw material surveys (e.g. Gehlen et al. 2015) also as extraction sites. The spatial analysis of lithic raw material sources is a valuable tool to identify and quantify Mesolithic foraging areas through different stages (e.g. Early Mesolithic). Based on the combination of geological data and the D4 sites database potential Mesolithic foraging areas could have been calculated for the D4 study area located in Germany (NRW, Hessen, Rhineland-Palatinate, Saarland), Luxembourg, Belgium (Wallonia) and the southern Netherlands (Limburg).
# 9
Mirijam, Zickel, • Martin, Kehl, • Jürgen, Richter,
Abstract: -Die Blazi Cave im nordalbanischen Karst liegt auf einer Höhe von 276 m (ü. NN) und ist ca. 50 km von der Adriaküste entfernt. Das Portal ist nach Südwesten orientiert. -Sie ist durch die Arbeiten von Prendi
# 10
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.
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