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FIG. 4 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 4. — Zytiron. Hortus sanitatis, Mayence, 1491 (Bruxelles, KBR, Inc. B. 229). © Bibliothèque royale de Belgique, Bruxelles.
FIG. 2 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 2. — Gladius. Westminster Abbey Bestiary, York,c. 1270-1290. (Abbaye de Westminster, Bibl., 22, f. 44). © Dean and Chapter of Westminster.
FIG. 1 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 1. — Serra (au-dessus) et Gladius (en-dessous). Brunet Latin, Le livre du Trésor. France,c. 1310-1320 (Saint Petersbourg,B.N., fr. f.v.III,4, f. 45v). D'après Heck & Cordonnier 2011: 536.
FIG. 8 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 8. — Episcopus marinus. Sluperius, Omnium fere gentium, nostraeque aetatis nationum, habitus et effigies, et in eosdem epigrammata. Anvers, 1572: 47, 48. (cliché Rémy Cordonnier, BASO, Saint-Omer).
Raw landmarks related to the paper, "Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages "
<p>PLEASE NOTE: This dataset has been superseeded by an updated version which has the correct number of specimens as referred to in the below article. It can be accesssed at: https://doi.org/10.5281/zenodo.14262754</p> <p> </p> <p> </p> <p>Raw coordinates (p x k = 82 x 3) of domestic and wild pig skulls that form the dataset for the paper, "­Evolution under intensive industrial breeding: skull size and shape comparison between historic and modern pig lineages "</p>
Data from: Ancient and modern genomes reveal microsatellites maintain a dynamic equilibrium through deep time
<p>Microsatellites are widely used in population genetics, but their evolutionary dynamics remain poorly understood. It is unclear whether microsatellite loci drift in length over time. This is important because the mutation processes that underlie these important genetic markers are central to the evolutionary models that employ microsatellites. We identify more than 27 million microsatellites using a novel and unique dataset of modern and ancient Adélie penguin genomes along with data from 63 published chordate genomes. We investigate microsatellite evolutionary dynamics over two time scales: one based on Adélie penguin samples dating to approximately 46.5 kya, the other dating to the diversification of chordates more than 500 Mya. We show that the process of microsatellite allele length evolution is at dynamic equilibrium; while there is length polymorphism among individuals, the length distribution for a given locus remains stable. Many microsatellites persist over very long time scales, particularly in exons and regulatory sequences. These often retain length variability, suggesting that they may play a role in maintaining phenotypic variation within populations.</p>
Early Eocene Global Vegetation Modern Plant Distribution Dataset
<p>Early Eocene Global Vegetation Modern Plant Distribution Dataset </p> <p>Global occurances for early Eocene fossil plant Nearest Living Relatives (NLRs) from the Global Biodiversity Information Facility (GBIF: https://www.gbif.org/), used for palaeocliate reconstruction.</p>
FIGURE 1 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 1. Geographic sketch showing the location of the plant-bearing sites. For locality numbers see Table 1.
FIGURE 6 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 6. Representation of modern European vegetation formations for the test set of fossil assemblages as delivered by Drudges 1 and 2. Formation H - Hygrophilous thermophytic mixed deciduous broadleaved forests; Formation G - Thermophilous mixed deciduous broadleaved forests; Formation F - Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation D - Mesophytic and hygromesophytic coniferous and mixed broadleaved-coniferous forests; Formation C - Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation. More detailed information on subdivisions and units is available in Appendix 9.
FIGURE 4 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 4. Representation of East Asian and European vegetation types and formations as delivered by Drudges 1 and Drudge 2 for the IPR Similarity, Taxonomic Similarity (TS), and Results Mix. See also Appendix 8.
FIGURE 8 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 8. Mean annual temperature (MAT), warm-month mean temperature (WMMT), and cold-month mean temperature (CMMT) based on CLAMP and the Coexistence Approach (CA) for the fossil plant record (sources are Kvaček et al., 2011; Teodoridis and Kvaček, 2015; Teodoridis et al., 2009, 2012, 2015, 2017). black columns: minimum CA. light grey columns: maximum CA, narrow, dark grey columns: CLAMP result. For more comprehensive climate data see Appendix 10.
FIGURE 9 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 9. Climate parameters of the modern European vegetation Formations F, G, and H based on Bohn et al. (2004) and Traiser and Mosbrugger (2004) represented as columns spanning the minimum and maximum of the respective data. Vegetation of Formation F tends to lower temperatures (note, however, that climate data for formations F.3 – F.1 are more complex). Vegetation of Formation G tends to lower MAP. Asterisks indicate single data points (no climate interval was available). The data are listed in Appendix 11. Abbreviations: MAT = mean annual temperature; WMMT = warm-month mean temperature; CMMT = cold-month mean temperature; MAP = mean annual precipitation.
Fig. 2. Species accumulation curves for 45 in Mammal inventories in Seasonal Neotropical Forests: traditional approaches still compensate drawbacks of modern technologies
Fig. 2. Species accumulation curves for 45 sampling days for each method used to sample mammals in Serra do Japi Biological Reserve, JundiaÍ, State of SÃo Paulo, Brazil in July and August 2009 and January and February 2010.
Fig. 1 in Mammal inventories in Seasonal Neotropical Forests: traditional approaches still compensate drawbacks of modern technologies
Fig. 1. Serra do Japi Biological Reserve location (SÃo Paulo, Brazil), and camera trap (white circles) and transect placement within the reserve limits. Thin line: limits of REBIO Serra do Japi. Satellite image from Google Earth®.
FIGURE 3 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 3. Modern vegetation types/formations delivered as proxies by Drudges 1 and 2 for the test set of fossil assemblages. Shown are the five best fitted results for the Taxonomic Similarity (TS) and the overall scores (synthesis of all similarity approaches), i.e., 25 proxies for every plant assemblage. Pastel colours represent East Asian vegetation types, bright colours European vegetation formations. For more detailed information see Appendix 4 which provides interactive colour signature (moving the cursor over the columns provides the designation of the proxies and their relevance for every fossil assemblage).
FIGURE 2 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 2. Modern vegetation types/formations delivered as proxies by Drudges 1 and 2 for the test set of fossil assemblages. Shown are the five best fitted results for the IPR Similarities based on Drudge 1 and Drudge 2 and for the Results Mix based on Drudge 1 and Drudge 2. Pastel colours represent East Asian vegetation types, bright colours European vegetation formations. For more detailed information see Appendix 4 which provides interactive colour signature (moving the cursor over the columns provides the designation of the proxies and their relevance for every fossil assemblage).
FIGURE 7 in Modern vegetation proxies reflect Palaeogene and Neogene vegetation evolution and climate change in Europe, Turkey, and Armenia
FIGURE 7 (previous page). Representation of modern European vegetation formations for the test set of fossil assemblages as delivered by Drudges 1 and 2 in more detail (see also Appendix 9). Formation H: H001, Colchic lowland to submontane mixed oak forests, in black; H002, Hyrcanian lowland-colline mixed broadleaved forests, in dark grey; H003, Hyrcanian colline to montane oak forests, in light grey. Formation G: G.1 - Subcontinental thermophilous (mixed) pedunculate oak and sessile oak forests, in black; G.2 - Sub-Mediterranean-subcontinental thermophilous bitter oak and Balkan oak and mixed forests, in dark grey; G.3 - Sub-Mediterranean and meso-supra-Mediterranean downy oak and mixed forests, in light grey; G.4 - Iberian supra- and meso-Mediterranean oak forests, in white. Formation F: F.1 - Species-poor acidophilous oak and mixed oak forests, in black; F.2 - Mixed oak-ash forests, in dark grey; F.3 - Mixed oak-hornbeam forests, in light grey; F.4 Lime-pedunculate oak forests, in white; F.5 - Beech and mixed beech forests, hatched lower left to upper right; F.6 - Oriental beech forests and hornbeam-oriental beech forests, hatched upper left to lower right; F.7 - Caucasian mixed hornbeam-oak forests, hatched vertically. Formation F, F.5 - Beech and mixed beech forests: F.5.1.1 - Species-poor oligotrophic to mesotrophic beech and mixed beech forests, lowland(-colline) types, in black; F.5.1.2 - Species-poor oligotrophic to mesotrophic beech and mixed beech forests, colline-submontane types, in dark grey; F.5.1.3 - Species-poor oligotrophic to mesotrophic beech and mixed beech forests, montane-altimontane types, in light grey; F.5.2.1 - Species-rich eutrophic and eu-mesotrophic beech and mixed beech forests, colline-submontane types, in white; F.5.2.2 - Species-rich eutrophic and eu-mesotrophic beech and mixed beech forests, colline-submontane types, hatched lower left to upper right; F.5.2.3 and 4 - Species-rich eutrophic and eu-mesotrophic beech and mixed beech forests, montane-altimontane types, hatched upper left to lower right. Formation D: D.1 - Western boreal spruce forests, in black; D.2 - Eastern boreal pine-spruce and fir-spruce forests, in dark grey; D.3 - Hemiboreal spruce and fir-spruce forests with broad-leaved trees, in light grey; D.4 - Montane to altimontane, partly submontane fir and spruce forests in the nemoral zone, in white; D.5 - Boreal and hemiboreal pine forests, hatched lower left to upper right; D.6 - Montane to altimontane (subalpine) pine forests in the nemoral zone; hatched upper left to lower right.
A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 3 (Modern standard Slavic lects)
<h1>Modern standard Slavic lects (Croatian, Slovak, Slovenian)</h1> <h2>General description</h2> <p>The dataset consists of texts, written in three modern stanard Slavic lects: Croatian, Slovak, and Slovenian. The texts are parallel in order to compensate for the possible genre influences. The text is John’s Gospel in each of the given languages.</p> <h3>Sources</h3> <p>Croatian original text is from the <a href="https://www.wordproject.org/bibles/cr/index.htm">Ivan Šarić’s translation</a> of New Testament. Slovenian text is from the <a href="https://www.bible.com/bible/2319/JHN.1.SSP">standard Slovenian translation</a> of the New Testament. Slovak text is from the modern <a href="https://svatepismo.sk/evanjelium-podla-jana-1">Catholic translation</a> of the New Testament.</p> <p>The data statement is available among the downloadable files.</p> <h2>How-to</h2> <p>This section contains the tutorials that allow to use this data with the intended pipelines.</p> <h3>Corpus-based distance measurement package</h3> <p>The source code for package is available <a href="https://doi.org/10.5281/zenodo.13958502" target="_blank" rel="noopener">here</a>, the manual is available in the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/README.md" target="_blank" rel="noopener">README</a> section of the repository.</p> <p>To use this dataset for the measurement of distance between Slovak, Croatian and Slovenian lects, and their subsequent clusterisation, following steps should be completed:</p> <ol> <li>Download the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/example/Corpus_distance_tutorial.ipynb" target="_blank" rel="noopener">Jupyter notebook</a> that streamlines the package use.</li> <li>Download the dataset.</li> <li>Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).</li> <li>Insert the path to the directory into <code>CONTENT_DIR</code> variable in the Jupyter notebook.</li> <li>Run the notebook, adjusting the parameters, if necessary.</li> </ol> <h2> </h2>
Overview Map of Cilicia with Main Bronze and Iron Age, Hellenistic and Modern Sites
<p>Overview map (for use on screen please use the jpg with the file extension RGB, for print please use the jpg with the file extension CMYK, the PDF has different layers) and dataset (SRTM DEM with hillshade and shaded relief) of Plain Cilicia with main Bronze and Iron Age, Hellenistic and modern sites</p> <p>Recommended symbology for QGIS: set DEM_srtm_hillshade.tif transparency to 45 %, use for the shaded relief DEM_srtm.tif a layer below the layer-file (DEM_srtm.qml), set here the transparency to 60%.</p> <p>Recommended symbology for Esri ArcGIS: set DEM_srtm_hillshade.tif transparency to 45 %, use for the shaded relief a layer below DEM_srtm.tif the layer-file (DEM_srtm.lyrx), set here the transparency to 5%.</p> <p>The selected sites can be downloaded as geojson file.</p>
Code to generate figures 3 and 4 of: "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."
<p>Code to generate figures 3 and 4 of the manuscript titled "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."</p> <p> </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.