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FIGURE 5. B. femoralis medusula, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 5. B. femoralis medusula, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
FIGURE 4. B. tibialis, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 4. B. tibialis, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
FIGURE 3. B. miliaria, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 3. B. miliaria, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
FIGURE 1. B. pruinosa, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 1. B. pruinosa, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
FIGURE 2. B. gigas, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 2. B. gigas, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
FIGURE 21. B. rybalovi, habitus. A, B in A key to Russian and Eastern European species of Blaps Fabricius, 1775 (Coleoptera: Tenebrionidae: Blaptinae) with the description of a new species from the North Caucasus supported by morphological and molecular data
FIGURE 21. B. rybalovi, habitus. A, B = ♂; C = ♀; A, C = dorsal view; B = ventral view.
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – France
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: French Agency for Food, Environmental and Occupational Health & Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Sweden
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre</p>
Data from: An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers
<p class="MsoNormal"><span>Human culture, biology, and health were shaped dramatically by the onset of agriculture ~12,000 years before present (BP). This shift is hypothesized to have resulted in increased individual fitness and population growth as evidenced by archaeological and population genomic data alongside a decline in physiological health as inferred from skeletal remains. Here, we consider osteological and ancient DNA data from the same prehistoric individuals to study human stature variation as a proxy for health across a transition to agriculture. Specifically, we compared 'predicted' genetic contributions to height from paleogenomic data and 'achieved' adult osteological height estimated from lo<span>ng bone measurements for 167 individuals across Europe spanning the Upper Paleolithic to Iron Age (~38,000-2,400 BP). We found that individuals from the Neolithic were shorter than expected (given their individual polygenic height scores) by an average of -3.82 cm relative to individuals from the Upper Paleolithic and Mesolithic (P=0.040) and -2.21 cm shorter relative to post-Neolithic individuals (P=0.068, with osteological vs. expected stature steadily increasing across the Copper (+1.95 cm relative to the Neolithic), Bronze (+2.70 cm), and Iron (+3.27 cm) Ages. These results were attenuated when we additionally accounted for genome-wide genetic ancestry variation, for example with Neolithic individuals -2.82 cm shorter than expected on average relative to pre-Neolithic individuals (P=0.120). We also incorporated observations of paleopathological indicators of non-specific stress that can persist from childhood to adulthood in skeletal remains into our model. Overall, our work highlights the potential of integrating disparate datasets to explore proxies of health in prehistory.</span></span></p>
Fig. 2 in Current Distribution Of The European Grayling, Thymallus Thymallus, And Huchen, Hucho Hucho, In The Transcarpatian Region Of Ukraine
Fig. 2. Distribution of the huchen, Hucho hucho, in the Transcarpatian Region of Ukraine: potential distribution — information obtained from interviewing inspectors of the Transcarpathian Fish Protection Inspection, forestry inspectors, and local people; places of catches — sites, where huchen were actually caught and/or recorded during scientific surveys, in recreational or poacher's fishing gears, places of introduction — sites were huchen were released intentionally or escaped accidentally.
Fig. 13 in Breeding Bird Assemblage In A Mosaic Of Urbanized Habitats In A Cenral European City
Fig. 13 Distribution of occupied territories of Fig. 14. Distribution of occupied territories of Fringilla coelebs. Carduelis carduelis.
FIGURE 12. Melitaea phoebe changaica Seitz, 1909 in Reassessment of the status of some European and Asian Melitaea taxa described as subspecies of Melitaea phoebe ([Denis & Schiffermüller], 1775), with designations of lectotypes where appropriate (Lepidoptera: Nymphalidae)
FIGURE 12. Melitaea phoebe changaica Seitz, 1909, male underside. © T. Léger.
European Mammal Diversity Change Code
<p>This file contains the R code to accompany the publication "Lost, gained and regained functional and phylogenetic diversity of European mammals since 8,000 years ago". For more information please see the README file and published paper.</p>
Portuguese version of the European Deprivation Index (version 2011)
<p>The EDI-PT was produced for the smallest area unit possible (n = 18084 census block groups, mean/area = 584 inhabitants) and resulted from the weighted sum of the eight selected variables. It was then categorized into quintiles (Q1-least deprived to Q5-most deprived). </p> <p>Publication: Ribeiro AI, Launay L, Guillaume E, Launoy G, Barros H (2018) The Portuguese version of the European Deprivation Index: Development and association with all-cause mortality. PLOS ONE 13(12): e0208320. <a href="https://doi.org/10.1371/journal.pone.0208320">https://doi.org/10.1371/journal.pone.0208320</a></p>
The genotypic data of elite European cultivar panel comprising 358 winter and 14 summer wheat varieties released from 1975 to 2007 at different marker densities
<p>This submission contains the genotpying data corresponding to the GABI-WHEAT and its subset TROST panel, at different densities i.e 35k, 90k for GABI-WHEAT and 135k for TROST panel. Additionally, the marker oligo sequences, envisioned to be used for mapping to wheat reference genome for obtaining marker phyical positions and thus assist genomic interoperability, are included. </p> <p>(35k, 135k and 90k are names given to markers originating from Affymetrix [Allen et al., 2017*; Muqaddasi et al., 2019, Muqaddasi et al., 2020**] and 90k iSELECT [Wang et al., 2014***] SNP array chips)</p> <p>*https://doi.org/10.1111/pbi.12635</p> <p>**https://doi.org/10.3835/plantgenome2018.05.0029</p> <p>***https://doi.org/10.1111/pbi.12183</p>
FIGURE 5 in Morphological diversification of alien and native aquatic snails of the genus Physa and Aplexa (Gastropoda: Physidae) of Western and Central European range
FIGURE 5. SEM micrograph of a P. fontinalis shell (10.18150/HIMKRE) (A–C) (Phot. M. Gawlak).
Fig. 6 in Two new species of the genus Siro Latreille, 1796 (Opiliones, Cyphophthalmi, Sironidae) in the European fauna
Fig. 6. Siro franzi Karaman & Raspotnig sp. nov., paratype, ♂ (IKC1538). Spermatopositor. Scale bar = 50 µm.
Figure 17. A, B in Revision and phylogeny of the European species of the Eurytoma morio species group (Hymenoptera: Eurytomidae), parasitoids of bark and wood boring beetles
Figure 17. A, B, Eurytoma gatesi (♂): A, antenna; B, scape; C, propodeum.
MALDI-TOF MS spectra and sequence data of collagen of modern and archaeological flatfish from European waters
<p>MALDI-TOF MS spectra, LC-MS/MS datafiles, and Mascot MZID files of modern bone collagen of 18 species of Pleuronectiformes as reference spectra that were used to develop peptide biomarkers for ZooMS (Zooarchaeology by Mass Spectrometry). Details on the samples used can be found in the file "Reference spectra information.csv". Further information on the method and results can be found in the manuscript. The file names contain the type of data file and the species name. </p> <p>MALDI-TOF MS of 202 archaeological samples for Zooarchaeology by Mass Spectrometry (ZooMS) from three case study sites from around the North Sea: Barreau Saint-George ferroviaire in northern France, and 16-22 Coppergate and Blue Bridge Lane from York in the United Kingdom. Details on the samples can be found in the supplementary information of the manuscript. Further information on the method can be found in the manuscript. The file names are labeled with the sample ID number and the triplicate number (out of 3).</p>
Supplementary material 2 from: Praz C, Genoud D, Vaucher K, Bénon D, Monks J, Wood TJ (2022) Unexpected levels of cryptic diversity in European bees of the genus Andrena subgenus Taeniandrena (Hymenoptera, Andrenidae): implications for conservation. Journal of Hymenoptera Research 91: 375-428. https://doi.org/10.3897/jhr.91.82761
Table S2. List of all examined specimens.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.