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235 results for “Western Europe”
Data from: Complex population structure and haplotype patterns in Western Europe honey bee from sequencing a large panel of haploid drones
<p>This vcf file contains 7.023.689 SNPs and 870 honey bee samples, as described in the paper "Complex population structure and haplotype patterns in Western Europe honey bee from sequencing a large panel of haploid drones" by Wragg et al., available at https://doi.org/10.1101/2021.09.20.460798 as preprint.</p> <p>Eight hundred and seventy haploid drone samples from several honey bee subspecies hybrids were sequenced and aligned to the HAv3.1 reference genome. Sequence read alignment and genotyping quality filters were used to obtain a selection of 7.023.689 high-quality SNPs. The file Diversity_Study_629_Samples.txt corresponds to the 629 unique samples that were used for the diversity study described in the paper and can be used to recreate the restricted diversity dataset using bcftools or an equivalent software.</p> <p>Having sequenced haploid drones, heterozygous SNPs resulting from duplicated regions could be filtered out and the data is phased.</p>
Dataset of the Marital and Parental Relationships of Western- and Central Europe between 1350-1550
<p>All the data is collected from WikiData manually, allowing for a critically reflection of the available data. In case of missing data this has been reconstructed when possible. The dataset includes the rulers and consorts of the following territories:</p><p>the Duchy of Anjou, the Kingdom of Aragon, the Archduchy of Austria, the Duchy of Auvergne, the Duchy of Bar, the Duchy/Electorate of Bavaria, the Duchy of Berg, the Kingdom of Bohemia, the Duchy of Bouillon, the Duchy of Bourbon, the Duchy of Brabant, the Margraviate of Brandenburg, the Duchy of Brittany, the Duchy of Burgundy, the Kingdom of Castile, the Duchy of Cleves, the Kingdom of Denmark, the Kingdom of England, the Duchy of Florence / Grand Duchy of Tuscany, the Kingdom of France, the Duchy/Archduchy of Further Austria, the Duchy of Guelders, the Duchy of Holstein-Gottorp, the Holy Roman Empire, the Kingdom of Hungary, the Duchy/Archduchy of Inner Austria, the Duchy of Jülich (Cleves-Berg), the Duchy of Limburg, the Grand Duchy of Lithuania, the Duchy of Lorraine, the Duchy/Archduchy of Lower Austria, the Duchy of Luxembourg, the Kingdom of Majorca, the Duchy of Milan, the Kingdom of Naples, the Kingdom of Navarre, the Kingdom of Norway, the Principality of Orange, the Electorate Palatinate, the Kingdom of Poland, the Duchy of Pomerania, the Kingdom of Portugal, the Kingdom of Sardinia, the Duchy of Savoy, the Electorate of Saxony, the Kingdom of Scotland, the Principality of Sedan, the Kingdom of Sicily, the Kingdom of Spain, the Kingdom of Sweden, the Duchy/Archduchy of Tyrol and the Duchy of Württemberg.</p><p> </p><p>1. Node and Edge lists of the <strong>marital</strong> relationships between rulers and consorts of Western- and Central Europe. This dataset also includes biographical and spatial information suitable for GIS.</p><p>2. Node and Edge list of the <strong>parental </strong>relationships to be used for Network Analysis.</p><p>See: Miara Fraikin and Meike Wiedemann, 'The "Burgundian Model" revisited: Using Digital Approaches to Explore the Reach of Burgundy', in Sanne Maekelberg and Krista De Jonge (eds.), <i>Mapping the Space of the Early Modern Court in Europe. Functionality and Representation, </i>2023, pp.13-34.</p>
FIG. 10 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 10. — Evolution of Mean Annual Temperature (MAT), Cold Month Mean Temperature (CMMT), Warm Month Mean Temperature (WMMT) and Mean Annual Precipitation (MAP) in Europe using CLAMP (black dots). For comparison, results obtained with CA are displayed in grey (adapted from Mosbrugger et al. 2005). Abbreviations: MEN, Menat; GEL, Gelinden; SEZ, Sézanne; CEL, Célas; ARM, Armissan; AIX, Aix-en-Provence; SB, Saint-Bauzile. Numerical values are from Table 3. For Gelinden, Sézanne and Armissan, the results from CLAMP analysis using Asia1 calibration are displayed. For all other localities, the results from CLAMP analysis using BR calibration are displayed.
FIG. 2 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 2. — Gelinden paleoflora (mid- to late Selandian, Paleocene): A, Quercus odontophylla Saporta & Marion (IRSNB, 68151); B, Quercus loozi Saporta & Marion (IRSNB, 68170); C, Dryophyllum curticellense Saporta & Marion (IRSNB, 68384); D, Dryophyllum dewalquei Saporta & Marion (MNHN.F.13628); E, Quercus diplodon Saporta & Marion (MNHN.F.13644); F, Celastrophyllum sp. (Université de Liège, 2625); G, Dewalquea gelindenensis Saporta & Marion (IRSNB, 68142); H, Quercus palaeodrys Saporta & Marion (IRSNB, 68154); I, Cinnamomum ellipsoideum Saporta & Marion (MNHN.F.13677); J, Posidonia perforata Saporta & Marion (IRSNB, 68335); K, Aralia transversinervia Saporta & Marion (IRSNB, 68239); L, Aralia looziana Saporta & Marion (IRSNB, 68242); M, Litsea elatinervis Saporta & Marion (IRSNB, 68033); N, Pasianopsis retinervis Saporta & Marion (IRSNB, 67045); O, Mac-Clintockia heersiennsis Saporta & Marion (IRSNB, 68034); P, Salix longinqua Saporta & Marion (IRSNB, 68227). Scale bars: A, B: 1 cm; C-P, 2 cm.
Maps of interpolated paleotemperatures in Western Europe from MIS 14 to MIS 11
<p>To support the ecological model of the study Rodríguez et al. (2020, in review), five BIOCLIM variables (BIO1, BIO6, BIO10, BIO11 and BIO12) were computed from the Oscillayers dataset, for 11 subdivisions of the Marine Isotope Stages MIS 14 to MIS 11, as defined in (Rodríguez et al 2020, in review).<br> Oscillayers is a global‐scale and region‐specific BIOCLIM paleoclimatic datasets with high temporal resolution spanning the Plio‐Pleistocene, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc‐minutes) and temporal (10 kyr time periods) resolution (Gamisch, 2019).<br> BIOCLIM is a model designed for Species Distribution Modelling (SDM) that defines a set of 19 bioclimatic variables derived from monthly temperature and rainfall values in order to obtain biologically meaningful variables that are commonly used in ecology to model species or biome distributions (Booth et al., 2014; Nix, 1986).<br> The GIS computation was conducted using GRASS GIS map algebra (Shapiro & Westervelt, 1991) scripted via its Python API. The according Python scripts are attached to this dataset.</p>
Maps of interpolated paleotemperatures in Western Europe from MIS 14 to MIS 11
<p>To support the ecological model of the study Rodríguez et al. (2020, in review), five BIOCLIM variables (BIO1, BIO6, BIO10, BIO11) were computed from the Oscillayers dataset, for 11 subdivisions of the Marine Isotope Stages MIS 14 to MIS 11, as defined in (Rodríguez et al 2020, in review).<br> Oscillayers is a global‐scale and region‐specific BIOCLIM paleoclimatic datasets with high temporal resolution spanning the Plio‐Pleistocene, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc‐minutes) and temporal (10 kyr time periods) resolution (Gamisch, 2019).<br> BIOCLIM is a model designed for Species Distribution Modelling (SDM) that defines a set of 19 bioclimatic variables derived from monthly temperature and rainfall values in order to obtain biologically meaningful variables that are commonly used in ecology to model species or biome distributions (Booth et al., 2014; Nix, 1986).<br> The GIS computation was conducted using GRASS GIS map algebra (Shapiro & Westervelt, 1991) scripted via its Python API. The according Python scripts are attached to this dataset.</p>
Supporting dataset for manuscript: "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (PLoS ONE)
<p>This is the supporting datafile for the manuscript entitled "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (Marx et al., PLoS ONE). The dataset includes anonymized, routinely collected notification data (variables labeled as "nd") for 314 individuals and anonymized survey data (i.e. data obtained through interviews; variables labeled as "sd") for a subset of 154 individuals. The data are published open-access, in accordance with the PLoS ONE data policy (2014).</p>
Fig. 8 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 8. Currently known extent of occurrence of Vipera walser sp. nov. (in blue) and V. berus (in red) in north western Italy
Fig. 3 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 3. Results of the non-metric multidimensional scaling (nMDS, Bray – Curtis with similarity index), for the females (left) and males (right) conducted separately. The following variables were considered: subcaudals, crown scales, apicals, perioculars, parietals and loreals (only on the right side because V. walser show a much higher degree of asymmetry on loreal scales count, compared to V. berus). The analysis was carried out on V. walser and three groups of V. berus having the same number of samples, in order to evaluate intraspecific variability. V. walser are in red. The graphs show V. walser to be well differentiated in respect to the three groups of V. berus, which are mostly overlapping.
Fig. 10 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 10. Current and projected (2035; CMIP 5 [IPPC Fifth Assessment]) mean annual rainfall and mean minimum temperatures (° C) for the months May – October within the current range of Vipera walser sp. nov.
Fig. 9 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 9. Habitat of Vipera walser sp. nov. Valle Strona at about 1650 m (upper left), Valle Strona at about 1800 m (upper right), Valle Mastallone at 2070 m (bottom left) and Valle della Vecchia at 1830 m (bottom right)
Fig. 7 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 7. Variation in head scalation in adult female (upper four photographs) and adult male (lower four photographs) of Vipera walser sp. nov.
Fig. 4 in A new vertebrate for Europe: the discovery of a range-restricted relict viper in the western Italian Alps
Fig. 4. Discriminant analysis, based on the six meristic variables, correctly classifies 94 % of females (left) and 88 % of males. The strongest discriminatory variables are crown scales and parietals. Blue = V. berus; red = V. walser
FIG. 18 in Snakes of the lower/middle Miocene transition at Vieux Collonges (Rhône, France), with comments on the colonisation of western Europe by colubroids
FIG. 18. — Representatives of the families Boidae, Colubridae (Colubrinae + Natricinae), Elapidae and Viperidae reported from the Miocene localities of France, Germany and Czech Republic. Numbers in the table represent the numbers of specimens.
FIG. 8 in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 8. — Lingual view of m1/2 molar from two levels of Saint- Martin-de-Castillon: A, Eomys aff. E. antiquus (Aymard, 1853) from the level C (FSL 98156); B, Eomys aff. E. zitteli Schlosser, 1884 from the level J (FSL 98181). Scale bar: 0.5 mm.
FIG. 7 in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 7. — Measurements of Eomys Schlosser, 1884 teeth compared the neotype of E. zitteli Schlosser, 1884 are indicated by stars.
FIG. 6 in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 6. — Eomys minor Comte & Vianey-Liaud, 1987 teeth, La Blache: A, A', Lm1/2, FSL 98182; A, occlusal view; A', labial view; B, RM1/2, FSL 98183; C, LM3, FSL 98184; D, Rm1/2, FSL 98185; E, Rp4, FSL 98186. Scale bar: 0.5 mm.
FIG. 9. — A-D in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 9. — A-D, Eomys sp.teeth,MÖhren 20;A, LP4,BSP 1975 XXII 837; B, LM1/2, BSP 1975 XXII 846;C, Rm1/2, BSP 1975 XXII 845;D, Lm1/2, BSP 1975 XXII 742; E-G, Eomyidae gen. et sp.indet.teeth, MÖhren 20; E, LM1/2, BSP 1975 XXII 858; F, RP4? RM1/2?, BSP 1975 XXII 857; G, RM2, BSP 1975 XXII 853. Scale bar: 0.5 mm.
FIG. 5.— A-Q, Eomys aff. E in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 5.— A-Q, Eomys aff. E. antiquus (Aymard, 1853) teeth, Saint-Martin-de-Castillon C; A, RDP4, FSL 98150; B, RP4, FSL 98155; C, RP4, FSL 98157; D, LP4, FSL 98162; E, RM1/2, FSL 98164; F, LM1/2, FSL 98160; G, LM3, FSL 98153; H, LM3, FSL 98169; I, Rdp4, FSL 98167; J, Rp4, FSL 98166; K, Lp4, FSL 98159; L, Lp4, FSL 98154; M, Lp4, FSL 98158; N, Rm1/2, FSL 98151; O, Rm1/2, FSL 98156; P, Lm1/2, FSL 98163; Q, Lm3, FSL 98161; R-V, Eomys aff. E. zitteli Schlosser,1884 teeth, Saint-Martin-de-Castillon J; R, RDP4, FSL 98180; S, RM1/2, FSL 98178; T, RM1/2, FSL 98179; U, Rdp4, FSL 98176; V, Lm1/2, FSL 98177. Scale bar: 0.5 mm.
FIG. 1 in New data about the diversity of Early Oligocene eomyids (Mammalia, Rodentia) in Western Europe
FIG. 1. — Eomys antiquus (Aymard, 1853) upper teeth, MÖhren 13: A, RDP4, BSP 1972 XI 4263; B, RP4, BSP 1972 XI 3908; C, RP4, BSP 1972 XI 3920; D, LP4, BSP 1972 XI 3931; E, LP4, BSP 1972 XI 3926; F, LP4, BSP 1972 XI 3911; G, LP4, BSP 1972 XI 3945; H, LP4, BSP 1972 XI 3947; I, LP4, BSP 1972 XI 3909; J, RM1/2, BSP 1972 XI 4020; K, RM2, BSP 1972 XI 3949; L, RM1/2, BSP 1972 XI 3950; M, RM1/2, BSP 1972 XI 4023; N, LM2, BSP 1972 XI 3999; O, LM3, BSP 1972 XI 4041; P, LM3, BSP 1972 XI 4043; Q, LM3, BSP 1972 XI 4047; R, LM3, BSP 1972 XI 4052; S, LM3, BSP 1972 XI 4038. Scale bar: 0.5 mm.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.