95 documents found in 220ms
# 1
Heikkilä, Ulla • von Blanckenburg, Friedhelm
Abstract: The determination of exposure ages, erosion rates, or terrigenous fluxes into the oceans with meteoric cosmogenic 10Be or 10Be/9Be ratios requires knowledge of the depositional fluxes of this nuclide (Willenbring and von Blanckenburg, 2010). The spatial distribution of these fluxes depends on stratospheric production, solar and paleomagnetic modulation, and atmospheric restribution. To allow for the estimation of such fluxes at a given site, and to enable the GIS-based calculation of such fluxes that integrate over large spatial areas (river basins, ocean basins) we provide global maps and excel sheets interpreted to present the average Holocene 10Be fluxes and an estimate of their uncertainty as modeled by atmospheric distribution models (Heikkilä et al., 2013, Heikkilä et al., 2013, Heikkilä and Smith, 2013).
# 2
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.
# 3
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
# 4
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)
# 5
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).
# 6
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
# 7
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.
# 8
Reinsch, Thomas • Henninges, Jan
Abstract: Reinsch et al. (2013) describe the installation of a novel fibre optic cable behind the anchor casing of the geothermal well HE-53, Hellisheiði geothermal field, SW Iceland. Within this data publication, DTS temperature data, acquired together with optical time domain reflectometry (OTDR) data during three different field campaigns are presented. Data have been acquired during the installation in spring 2009, during the onset of a production test in summer 2009 and after a 8.5 month shut-in period in summer 2010.
# 9
Daniel Becker • Jan Verheul • Mirijam Zickel • Yasa Yener • Christian Willmes
Abstract: This raster data is part of a geospatial dataset that contains climate data from 30 ka to 13 ka in 1000 year steps, provided by Tallavaara et al. (2015). The variables are PET (Potential Evapotranspiration) and WAB (Water balance) in mm/year and MCM (Mean temperature of the coldest month) in C°. The source was supplied in a .xls file containing longitude/latitude coordinates with the related variable values. It was imported to a shapefile with QGIS' "Create a Layer from a Delimited Text File" tool. The vector point data has been converted to GeoTIFF with GDAL's gdal_rasterize tool. The dataset has a resolution of 216x141 cells, with a cell size of 0.375° width and 0.25° height. The original data by Tallavaara et al. (2015) was supplied in a .xls file containing longitude/latitude coordinates with the related variable values.
# 10
Dobslaw, Henryk • Bergmann-Wolf, Inga • Dill, Robert • Forootan, Ehsan • Klemann, Volker • (et. al.)
Abstract: The ability of any satellite gravity mission concept to monitor mass transport processes in the Earth system is typically tested well ahead of its implementation by means of various simulation studies. Those studies often extend from the simulation of realistic orbits and instrumental data all the way down to the retrieval of global gravity field solution time-series. Basic requirement for all these simulations are realistic representations of the spatio-temporal mass variability in the different sub-systems of the Earth, as a source model for the orbit computations. For such simulations, a suitable source model is required to represent (i) high-frequency (i.e., sub- daily to weekly) mass variability in the atmosphere and oceans, in order to realistically include the effects of temporal aliasing due to non-tidal high-frequency mass variability into the retrieved gravity fields. In parallel, (ii) low-frequency (i.e., monthly to interannual) variability needs to be modelled with realistic amplitudes, particularly at small spatial scales, in order to assess to what extent a new mission concept might provide further insight into physical processes currently not observable. The updated source model provided here attempts to fulfil both requirements: Based on ECMWF's recent atmospheric reanalysis ERA-Interim and corresponding simulations from numerical models of the other Earth system components, it offers spherical harmonic coefficients of the time-variable global gravity field due to mass variability in atmosphere, oceans, the terrestrial hydrosphere includ- ing the ice-sheets and glaciers, as well as the solid Earth. Simulated features range from sub-daily to multiyear periods with a spatial resolution of spherical harmonics degree and order 180 over a a period of 12 years. In addition to the source model, a de-aliasing model for atmospheric and oceanic high-frequency variability with augmented systematic and random noise is provided for a realistic simulation of the gravity field retrieval process.
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