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Fig. 11 in Two new species of the genus Siro Latreille, 1796 (Opiliones, Cyphophthalmi, Sironidae) in the European fauna
Fig. 11. Paleogeographical reconstruction of southern Europe for the Late Cretaceous (after Schmid et al. 2004, modified). AA = Austroalpine; AP = Apulian Plate; BM = Bohemian Massif; BT = Briançonnais terrane; IB = Iberia; MC = Massif Central.
Fig. 10 in Two new species of the genus Siro Latreille, 1796 (Opiliones, Cyphophthalmi, Sironidae) in the European fauna
Fig. 10. Siro ozimeci Karaman sp. nov., holotype, ♀ (GMV 100066). Distal portion of ovipositor, ventral view. Scale bar = 100 µm.
Fig. 3 in Two new species of the genus Siro Latreille, 1796 (Opiliones, Cyphophthalmi, Sironidae) in the European fauna
Fig. 3. Bayesian inference topology of the COI dataset (657 bp, 34 taxa) of Siro spp. Posterior probabilities> 90 are indicated as stars and shown close to nodes.
Tweets from the European Patent Office account (@epoorg): April 2009-July 2022
<p>19566 tweets released by th the European Patent Office account (@epoorg): April 2009-July 2022.</p> <p>Fields: id<gx:category>, author_id<gx:category>, author_name<gx:category>, author_handler<gx:category>, author_avatar<gx:url> ,user_created_at<gx:date>, user_description<gx:text>, user_favourites_count<gx:number>, user_followers_count<gx:number>, user_following_count<gx:number>, user_listed_count<gx:number>, user_tweets_count<gx:number>, user_verified<gx:boolean>, user_location<gx:text>, lang<gx:category>, type<gx:category>,text<gx:text>, date<gx:date>, mention_ids<gx:list[category]>, mention_names<gx:list[category]>, retweets<gx:number>, favorites<gx:number>, replies<gx:number>, quotes<gx:number>, links<gx:list[url]>, links_first<gx:url>, image_links<gx:list[url]>, image_links_first<gx:url>, rp_user_id<gx:category>, rp_user_name<gx:category>, location<gx:text>, tweet_link<gx:url>, source<gx:text>, search<gx:category></p>
Population models used in: Method to assess potential magnitude of terrestrial European avian population reductions from ingestion of lead ammunition
<p>Current estimates of terrestrial bird losses across Europe from ingestion of lead ammunition are based on uncertain or generic assumptions. A method is needed to develop defensible European-specific estimates compatible with available data that does not require long-term field studies. We propose a 2-step method using carcass data and population models. The method estimates percentage of deaths diagnosed as directly caused by lead poisoning as a lower bound and, as an upper bound, the percentage of possible deaths from sublethal lead poisoning that weakens birds, making them susceptible to death by other causes. We use these estimates to modify known population-level annual mortality. Our method also allows for potential reductions in reproduction from lead shot ingestion because reductions in survival and reproduction are entered into population models of species with life histories representative of the most groups of susceptible species. The models estimate the sustainability and potential population decreases from lead poisoning in Europe. Using the best available data, we demonstrate the method on two taxonomic groups of birds: gallinaceous birds and diurnal raptors. The direction of the population trends affects the estimate, and we incorporated such trends into the method. Our midpoint estimates of the reduction in population size of the European gallinaceous bird (< 2%) group and raptor group (2.9 – 7.7%) depend on the species life history, maximum growth rate, population trend, and if reproduction is assumed to be reduced. Our estimates can be refined as more information becomes available in countries with data gaps. We advocate use of this method to improve upon or supplement approaches currently being used. As we demonstrate, the method also can be applied to individual species of concern if enough data across countries are available.</p>
Disturbance indicator values for European plants
<p>We report a data set of disturbance indicator values identifying mean optima along gradients of natural and anthropogenic disturbance for 6,382 vascular plant species based on the analysis of 736,366 European vegetation plots and using an expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima in large-scale assessments of vegetation and macroecological studies.</p> <p>The data set contains five main continuous indicator values for European plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and the herb layer.</p> <p><strong>Reference:</strong><br> Midolo, G., Herben, T., Axmanová, I., Marcenò, C., Pätsch, R., Bruelheide, H., Karger D.N., Aćić, S., Bergamini, A., Bergmeier, E., Biurrun, I., Bonari, G., Čarni, A., Chiarucci, A., De Sanctis, M., Demina, O., Dengler, J., Dziuba, T., Fanelli, G., Garbolino, E., Giusso del Galdo, G., Goral, F., Güler, B., Hinojos-Mendoza, G., Jansen, F., Jiménez-Alfaro, B., Lengyel, A., Lenoir, J., Pérez-Haase, A., Pielech, R., Prokhorov, V., Rašomavičius, V., Ruprecht, E., Rusina, S., Šilc, U., Škvorc, Ž., Stancic, Z., Tatarenko, I., & Chytrý, M. (2022). Disturbance indicator values for European plants. <em>Global Ecology and Biogeography</em> (Accepted for publication)</p>
The Secret Life of Writing at the EC European Researchers' Night 2020
<p><a href="https://www.youtube.com/channel/UCGT6GmyssibzkpfDX9xkbXA">La Noche de los Investigadores en Castilla y León</a></p> <p>En este RINCÓN EUROPEO nuestros investigadores te cuentan en primera persona los proyectos de I+D+i en los que están trabajando a nivel continental.</p> <p>LOS DATOS 🔎</p> <p>Investigadora: Ainoa Castro Correa</p> <p>Entidad: Universidad de Salamanca</p> <p>Financiación: Horizon 2020 - ERC - Starting Grant Proyecto: PeopleAndWriting: The Secret Life of Writing: People, Script and Ideas in the Iberian Peninsula (c. 900-1200) / GenteYEscritura: la vida secreta de la escritura: gente, guion e ideas en la Península Ibérica (c. 900-1200)</p> <p> </p> <p> </p> <p>) <a href="https://youtu.be/EaYj4ZEjfMk">https://youtu.be/EaYj4ZEjfMk</a><strong> </strong></p>
CHIST-ERA The European Open Science Policy Landscape - Status and Trends
<p>CHIST-ERA carried out an analysis among its member agencies regarding their national Open Science policies and practices. An Analysis summarises the Status Quo in 2021 and compares the evolution of the policies between 2019 and 2021.</p> <p>Data are coming from Open Science Policies Survey - in 2019 and 2021 - among funding agencies that are members of ChistEra.</p>
Fig. 6 in Long Term (1985-2018) Changes Of The Habitat Suitability Of European Souslik Assessed By Maxent Modelling Based On Landsat Satellite Imagery - A Case Study From A Mountain Landscape Of Central Bulgaria
Fig. 6. Abundance (mean number of burrows/100 × 5 m transect) of S. citellus in 4 colonies in the study area in summer (for the period 2017–2021) N = Luda Yana; –– l –– = Belotrup; ---- l ---- = Panagyurski kolonii; u = Beli Manastiri
Fig. 5 in Long Term (1985-2018) Changes Of The Habitat Suitability Of European Souslik Assessed By Maxent Modelling Based On Landsat Satellite Imagery - A Case Study From A Mountain Landscape Of Central Bulgaria
Fig. 5. Changes in the habitat suitability in the study area (white – not suitable, black – high suitability) of European souslik assessed by maxent modelling based on data from 2006–2018 (B) and extrapolated for the period 1985–2005 (A). The results are presented in
Fig. 3 in Long Term (1985-2018) Changes Of The Habitat Suitability Of European Souslik Assessed By Maxent Modelling Based On Landsat Satellite Imagery - A Case Study From A Mountain Landscape Of Central Bulgaria
Fig. 3. Negative and positive anomalies (white and black bars) of the Mean Annual Temperature time series for the period of 1985–2018 (data from the meteorological station Sofia)
Fig. 2 in Long Term (1985-2018) Changes Of The Habitat Suitability Of European Souslik Assessed By Maxent Modelling Based On Landsat Satellite Imagery - A Case Study From A Mountain Landscape Of Central Bulgaria
Fig. 2. Changes in the number of grazing livestock in the southern central Bulgarian planning region for the period 2001–2018
Fig. 4 in Extending The Geographic Distribution Of Bryodrilus Ehlersi (Annelida, Enchytraeidae): Morphological And Molecular Comparison Of Korean And European Specimens
Fig. 4. Bryodrilus species, maximum likelihood (ML) trees of the CO1 region (A), ITS (B) and H3 genes (C). Bootstrap values greater than 50 are shown at the nodes. Accession codes of sequences with collection information are given in Table 1. A = ML tree of the CO1 gene based on 606 nucleotide positions (Tamura-Nei model). B = ML tree of the ITS region based on 765 nucleotide positions (Tamura 3-parameter model). C = ML tree of the H3 gene based on 218 nucleotide positions (Tamura 3-parameter model). Scale bars, 0.05 substitutions per nucleotide position (except for H3, where the scale is 0.01). For B. ehlersi specimens, the abbreviation
Fig. 5 in Extending The Geographic Distribution Of Bryodrilus Ehlersi (Annelida, Enchytraeidae): Morphological And Molecular Comparison Of Korean And European Specimens
Fig. 5. Bryodrilus species, concatenated phylogenetic tree based on 1599 nucleotide positions (which comprised the CO1, H3 and ITS genetic markers). Bayesian posterior probabilities are shown at the nodes. Scale bar, 0.05 substitutions per nucleotide position. For B. ehlersi specimens, the abbreviation of sample origin is shown in brackets (KOR = Korea, HUN = Hungary)
Fig. 2 in Extending The Geographic Distribution Of Bryodrilus Ehlersi (Annelida, Enchytraeidae): Morphological And Molecular Comparison Of Korean And European Specimens
Fig. 2. Micrograph of Korean Bryodrilus cf. ehlersi. A = Bursal slits, ventral view (marked with arrows). B = Male copulatory apparate (penial bulbs, marked with arrows). C–G = Sperm funnels. H–K = Spermathecae, dorsal view (marked with arrows, p1–p3 = pharyngeal glands). L–M = Ectal glands of spermathecae, lateral view (marked with arrows). (A, C–E, H–J, L in vivo; B, F–G, K, M fixed, stained. Scale bars: 50 μm)
Figs 8–9 in A Second European Axysta Species (Diptera: Ephydridae)
Figs 8–9. Axysta clausseni, male: 8 = sternites 1–5; 9 = postgonite and hypandrium, lateral view. Abbreviations: hyb = hypandrium bridge, hyp = hypandrium plate, pgo = postgonite, S1 = sternite 1, S5 = sternite 5
Figs 6–7 in A Second European Axysta Species (Diptera: Ephydridae)
Figs 6–7. Distribution of microtrichia on anepisternum and anepimeron, lateral view: 6 = A. cesta; 7 = A. clausseni. Abbreviations: anepm = anepimeron, aneps = anepisternum
Fig. 1 in Extending The Geographic Distribution Of Bryodrilus Ehlersi (Annelida, Enchytraeidae): Morphological And Molecular Comparison Of Korean And European Specimens
Fig. 1. Micrograph of Korean Bryodrilus cf. ehlersi. A–B = Brain. C = Head pore (marked with arrow). D = Epidermal gland cells. E–F = Clitellar gland cells, dorsal view. G = Clitellar gland cells, ventral view (penial bulbs marked with arrows). H = Coelomocytes (marked
Figure 5 Coronabelba unicornis n in Taxonomy of European Damaeidae X. Description of Coronabelba unicornis n. gen., n. sp. (Acari, Oribatida, Damaeidae) from Abkhazia, with comments on genusMetabelba Grandjean, 1936
Figure 5 Coronabelba unicornis n. sp., adult, light microscope images: A – tibia and tarsus IV (part), paraxial view; B – femur IV (part) paraxial view; C – tarsus I (part), antiaxial view; D – femur I (part) ventroparaxial view; E – larval exuvium (medial part), dorsal view; F – larval exuvium (lateral part), dorsal view; H – part of propodosoma, dorsolateral view; I and J – cerotegument on notogaster, dorsolateral views.
Figure 2 in Taxonomy of European Damaeidae X. Description of Coronabelba unicornis n. gen., n. sp. (Acari, Oribatida, Damaeidae) from Abkhazia, with comments on genusMetabelba Grandjean, 1936
Figure 2 Coronabelba unicornisn. sp., adult: A – leg I, left, antiaxial view; B – leg II (except trochanter), left, antiaxial view; C – trochanter, left, antiaxial; view; D – leg III (except trochanter), right, antiaxial view; E – leg IV, right, antiaxial view.
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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.