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561 results for “Carpathians”
Neolithic/Copper Age radiocarbon dates from West Carpathian basin and East Alps
<p>Radiocarbon dates used in this study were collected from original publications including grey literature. The resulting database was cross-referenced with available radiocarbon databases to ensure the quality of data. We used the latest revision (2019) of CalPal database by Bernhardt Weninger (<em>B. Weninger et al.</em> 2019), EuroEvol database (<em>Manning et al.</em>2016), C14.sk database (<em>Barta et al.</em> 2013) and RADON database (<em>Martin Hinz et al.</em> 2012). </p> <p> </p> <p>Database structure consist of ten columns, from site name (Site), unique site code (Scode), site longitude and latitude (Lon and Lat) in degrees, country (Country), laboratory code (Labcode), the conventional radiocarbon date (Date) in years before present, standard deviation (SD), dated material (Mat) and bibliographic reference (Cit). Where possible, we referenced the radiocarbon database where the date is recorded, otherwise, the publication where the date is reported or referenced is cited. </p> <p> </p> <p>Many thanks to Bernhardt Weninger for kindly providing the latest version of CalPal database.</p> <p> </p> <p><strong>References </strong></p> <p> </p> <p>B. Weninger, Jöris O., Danzeglocke U. 2019. CalPal-2007. Cologne Radiocarbon & Palaeoclimatic Research Package. <em>http:\\www.calpal.de</em></p> <p>Manning K., Colledge S., Crema E., Shennan S., Timpson A. 2016. The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset 1: Sites, Phases and Radiocarbon Data. <em>Journal of Open Archaeological Data </em>5:e2. DOI: http://doi.org/10.5334/joad.40</p> <p>Martin Hinz M.F., Johannes Müller, Dirk Raetzel-Fabian, Rinne C., Sjögren K.-G., Wotzka H.-P. 2012. RADON - Radiocarbon dates online 2012. Central European database of 14C dates for the Neolithic and Early Bronze Age. <em>http:\\www.jungsteinsite.de</em></p> <p>Barta P., Demján P., Hladíková K., Kmeťová P., Piatničková K. 2013. Database of radiocarbon dates measured on archaeological samples from Slovakia, Czechia, and adjacent regions. <em>http://www.c14.sk</em></p>
Reconstitution of August SPEI3 drought index based on the δ18O in tree-ring cellulose for the Eastern Carpathian, for the period 1331-2012CE
<p>Here we report the reconstruction of the summer (June to August) Standardized Precipitation-Evapotranspiration Index (SPEI3), for the period 1331-2012CE, for eastern Europe, based on annually-resolved stable oxygen isotope ratios (δ<sup>18</sup>O) from Pinus cembra L. tree-ring cellulose from the Călimani Mountains, Romania. Variations of the δ18O values capture the August SPEI3 changes both at high and low frequencies (from interannual to multidecadal scales).<br> <br> The palaeoclimate potential of stable isotopes in Pinus cembra L. (Swiss stone pine) tree-ring cellulose from the Călimani Mountains has been demonstrated by Nagavciuc et al. 2019 (DOI: 10.1002/joc.6349), showing that δ18O variability allows high-resolution paleoclimatic reconstructions over the eastern part of Europe, where few such reconstructions are available.</p>
Supplementary material: Burial Analysis on the Middle Bronze Age in the Carpathian Basin (dataset and scripts)
<p>This is the supplementary material of the paper "Wealth Consumption, Sociopolitical Organization, and Change: A Perspective from Burial Analysis on the Middle Bronze Age in the Carpathian Basin" (accessible over doi: https://doi.org/10.1515/opar-2022-0281). Please consult the publication for in depth description of the data, its context and for the method applied on the data, as well as references to primary sources. The data tables comprise the burial data of the Hungarian Middle Bronze Age cemeteries of Dunaújváros-Duna-dűlő, Dömsöd, Adony, Lovasberény, Csanytelek-Palé, Kelebia, Hernádkak, Gelej, Pusztaszikszó and Streda nad Bodrogom. The script "supplementary_material_2_wealth_index_calculation.py" provides the calculation of a wealth index, based on grave goods, for the provided data. The script "supplementary_material_3_population_estimation.py" models the living population of Dunaújváros-Duna-dűlő. Both can be run by double-click. Requirements to be installed to run the scripts: Python 3 (https://www.python.org/) with the packages numpy (https://numpy.org/), pandas (https://pandas.pydata.org/), matplotlib (https://matplotlib.org/), seaborn (https://seaborn.pydata.org/) and scipy (https://scipy.org/); all included in Ancaonda (Python-Distribution, https://www.anaconda.com/).</p>
Wildland-Urban Interface maps for the Polish Carpathians for 1860s, 1970s and 2013
<p>The dataset contains three (1860s, 1970s, 2013) detailed Wildland-Urban Interface (WUI) maps of the Polish Carpathians, including information on building density. The maps, available in the form of 10m raster GeoTIFF files, are based on the WUI definition of US Federal Register (USDA and USDI, 2001) as operationalized by (Radeloff et al., 2005), which distinguishes two kinds of WUI: intermix, where housing intermingle with wildland vegetation, and interface, where settlement abuts the wildland areas. Either WUI type requires a housing density higher than 6.17 houses/km2 (1 house/40 acres in the US context). In intermix WUI, there has to be also > 50% wildland vegetation, while the interface WUI, has < 50% wildland vegetation but is within 2.4 km of a wildland vegetation patch larger > 5 km2. Given the ecological context of the Polish Carpathians, we defined wildland vegetation as forests, because forests are the climax vegetation type below the treeline. To assess settlements, we analysed all buildings locations (residential and non-residential), because all buildings reflect human activities. The building density and forest cover share were calculated by using a 500m circular moving window algorithm.</p><p>Acknowledgements<br>The study was supported by the National Science Centre, Poland, contract no. UMO-2019/35/D/HS4/00117 and by the NASA Land Use and Land Cover Change Program.</p>
Low-temperature thermochronology database of the Carpathian fold-and-thrust belt (ZFT; ZHe; AFT; AHe) compilation from 1999 to 2023
<p>The following tables contain the low-temperature thermochronology dataset used in the Carpathian belt's exhumation model inversion. This dataset includes information from four thermochronometers: Apatite and Zircon Fission Track (AFT and ZFT), as well as (U-Th)/He on Apatites and Zircons (AHe and ZHe). Compiled from 1999 to 2023, this database encompasses available literature data related to low-temperature thermochronology in the region. </p><p>Excel table as well as a PDF file describe the database.</p>
Fig. 6 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 6 Buckladia sp. A. - inventory no. 27719 (field no. 1107). a-f: Cross section - gymnosperm structure with tracheids rectangular with rounded corners, thin curled walls in the early-wood, thick walled in the late-wood; idioblasts between tracheids; d-e: Numerous secondary rays; g-i: Tangential section - unpitted tracheids; uniseriate rays.
Fig. 7 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 7 Buckladia sp. A - inventory no. 27719 (field no. 1107). a-i: Radial section - d-g: - scalariform thickenings of Zamia type on tracheids, with reticular aspect; g-i: - araucarioid cross-fields with alternate in 2-3 superposed rows.
Fig. 2 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 2 Protojuniperoxylon holbavicum sp. nov. (inventory no. 27706). a-c: Cross section - tracheids polygonal with rounded corners, and linear rays; d-f: Tangential section - uniseriate rays with biseriate storeys with polygonal ray-cells, with lateral empty spaces; unpitted tracheids; g-j: Radial section –uniseriate radial pitting on tracheids as hexagonal pits; araucarioid cross-fields with vertical pairs of pits or slightly irregular; end-wall with juniperoid thickenings (see arrow).
Fig. 3 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 3 Brachyoxylon holbavicum Iamandei, Iamandei and Grădinaru, 2018. (inventory no. 27711). a-c: Cross section - tracheids polygonal with rounded corners, and linear rays; d-f: Tangential section - pitting on tracheids - absent; rays uniseriate; g-i: Radial section – radial pitting of mixed type on tracheids, pits hexagonal and, when biseriate, alternate; cross-fields with 2-3(4) cupressoid to araucarioid in 1 row or, when more numerous, in 2-3 superposed rows.
Fig. 5 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 5 Palaeoginkgoxylon sp. - inventory no. 27674 (field no. 1032). a-c: Cross section - tracheids polygonal with rounded corners; disperse mucilaginous cells; linear rays with mucilaginous ray-cells; d-f: Tangential section - unpitted tracheids; uniseriate rays with inflated secretory ray-cells; g-i: Radial section - radial pitting on tracheids usually uniseriate, of mixed type, with hexagonal pits or rounded; cupressoid cross-fields with 2-3 superposed rows of 1- 3 pits.
Fig. 8 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 8 Bucklandia sp. B - inventory no. 27676 and 27677 (field no. 1037 a-f, 1038g-i). a-f: Cross section – b: - tracheids polygonal with rounded corners, and linear rays; primary ray in contact with xylem; c: - mucilaginous canals lined by secretory epithelial cells; d-e: - phloem cells with idioblasts bearing mucillages; f: - or crystals (f); g: Tangential section - uniseriate rays with biseriate storeys with polygonal ray-cells; unpitted tracheids; h-i: Radial section – mucilaginous canal (h); araucarian radial pitting on tracheids with uniseriate hexagonal pits (i), cross-fields with 2-3 superposed rows of hexagonal pits (h-i).
Fig. 4 in Contributions To The Study Of The Early Jurassic Petrified Forest Of Holbav And Cristian Areas (Brașov Region, South Carpathians, Romania), 2 Part.
Fig. 4 Brachyoxylon cristianicum Iamandei, Iamandei and Grădinaru, 2018 - inventory no. 27690(field no. 1113b). a-c: Cross section - thick-walled tracheids, polygonal, with rounded corners and curled walls; dispersed parenchyma cells; linear rays; d-f: Tangential section - uniseriate rays with polygonal ray-cells and biseriate storeys; unpitted tracheids; parenchyma with end-walls smooth or nodular and resin content inside; g-i: Radial section - radial pitting on tracheids of mixed type; cross-fields with 2-3 cupressoid or araucarioid in a single row or, when more numerous, in 2-3 superposed rows.
Vulnerability tools - Slovak Carpathian mountains (Slovakia)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Slovak Carpathian mountains Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Vulnerability tools - Southern Romanian Carpathian mountains (Romania)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Southern Romanian Carpathian mountains Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Fig. 6 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 6. The results of AMOVA computed on the genetic data and hierarchical ANOVA of the morphometric data. A = AMOVA of both regions together. B = AMOVA of the two regions separately. C = Hierarchical ANOVA of both regions together. D = Hierarchical ANOVA of the two regions separately. The patterns of the columns are consistent in all charts. BR: between region component of variance (dark grey); BP: variation among the populations within the regions (black); BS: variation among the samples/generations within the populations (white); WS: within sample compo-
Fig. 4 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 4. UPGMA dendrogram constructed using CAVALLI-SFORSA & EDWARDS chord distances with a Maculinea teleius sample (3tKv) as out group. Bootstrap values were obtained using 2000 replicates
Fig. 2 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 2. Measured traits on the wings of Maculinea nausithous. Forewing: anal length (a), length of the outer margin (b), apical angle (β). Hindwing: anal length (c), costal length (d), basal angle (γ), widths
Fig. 3 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 3. UPGMA dendrogram constructed using CAVALLI-SFORSA & EDWARDS chord distances (A) and UPGMA phenogram built on the basis of the Euclidean distances among the average canonical
Fig. 1 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 1. Sample sites. Őrség region (West Hungary): Kétvölgy (Kv) and Magyarszombatfa (Mfa). Transylvania (Romania): Răscruci (Ras) and Fânatele Clujului (Fan)
Fig. 7 in Pattern Of Genetic And Morphometric Differentiation In Maculinea Nausithous (Lepidoptera: Lycaenidae) In The Carpathian Basin
Fig. 7. Results of the classification of individuals. A: Bar plot of the individuals as a result of the Bayesian clustering analysis. B: Distribution of the two genetic clusters in the two regions. 1: genetic cluster 1; 2: genetic cluster 2. C: Allocation of the individuals at the regional level on the basis of their
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