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Figure 2 in The European lesser glow worm, Phosphaenus hemipterus (Goeze), in North America (Coleoptera, Lampyridae)
Figure 2. Photograph of the habitat at the Fort Massey site where Phosphaenus hemipterus specimens were collected. Foraging birds, such as the American Crow (Corvus brachyrhynchos) in the foreground, could be potential predators of diurnal beetles such as P. hemipterus. Photo credit: Christopher Majka
Figure 4 in The European lesser glow worm, Phosphaenus hemipterus (Goeze), in North America (Coleoptera, Lampyridae)
Figure 4. Photograph of the habitat at the Queen St. site where Phosphaenus hemipterus specimens were collected. Note the concrete wall of the apartment building directly abutting on the lawn area. In the foreground is the trunk of an ash tree, and a row of shrubs consisting of goldflame spiraea, fly honeysuckle, red-ozier dogwood, and eastern redcedar. Photo credit: Christopher Majka
Figures 1–6 in Cucullia umbratica (Lepidoptera, Noctuidae), a new European noctuid in North America
Figures 1–6. Cucullia spp.: 1–4 Adults of Cucullia spp. 1 Cucullia umbratica, ♁, Havre-aux-Maisons, Magdalen Islands, Québec 2 Cucullia intermedia, ♁, Edmundston, New Brunswick 3 Cucullia umbratica, ♀, Havre-aux-Maisons, Magdalen Islands, Québec 4 Cucullia intermedia, ♀, Edmundston, New Brunswick 5–6 Male genitalia of Cucullia spp. 5 Cucullia umbratica 6 Cucullia intermedia.
leaf anatomy, vascular traits and nanomechanical cell-wall properties in European beech provenances
<p>The file contains leaf anatomical data (thickness of individual leaf parenchyma layers), vascular traits of leaf midrib (vessel area and density and derived parameters), and nanomechanical properties of xylem cell walls (modulus of elasticity, adhesion, energy dissipation and deformation), which were studied in 15 provenances of European beech, originating from sites distributed across the whole range of the species. The trial plot (locality Tale in central Slovakia) was established in 1998 with 2-years-old seedling within the international provenance experiment with beech coordinated by the Institute of Forest Genetics of Thuenen Institute Grosshansdorf. Leaf anatomy was studied using light microscopy, while fluorescent microscopy was used to acquire vascular traits and atomic-force microscopy for nanomechanical cell-wall traits. Sun leaves were collected from 4 trees per provenances, 1 leaf per tree was analyzed. AFM was done in a subset of 8 provenances. The aim of the study was assessing geographical trends of the studied traits and their association with climate at the sites of origin to reveal potential adaptive variation patterns.</p>
Model outputs for update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect, May 2020 update
<p>These maps are models obtained in intermediate phases of the ENETWILD project based on available information. There are frequent updates in order to improve the results.<br> <br> Objectives:<br> <br> - Incorporate additional data to provide new maps of wild boar suitability with a resolution of 2x2 km >>> file 3_June_2020_suitability_2x2.tif<br> - New model based on hunting yield with different approaches to handle the biorregion effect >>> files 1_June_2020_HY_nut01_10x10_twostep.tif & 2_June_2020_HY_nut01_10x10_pca.tif<br> <br> Model settings and predictors: <br> - Hunting yield modeling including biorregion effect as bioclimatic PCA scores<br> - Hunting yield addressing biorregion effect in a two-step procedure with independent parametrization for each bioregion<br> <br> Conclusions guiding future methodological steps:<br> - For wild boar suitability maps at 2x2 km, additional data on survey effort is critical in the southern bioregion<br> - Hunting yield model predictions at 10x10 km grids overestimated the hunting bag numbers obtained from the external datasets<br> - HY model with independent parametrization for each bioregion performed better that previous and new strategies<br> <br> For further details and methodological approach see the paper:<br> ENETWILD-consortium, P. Acevedo, S .Croft, G C Smith, J. A. Blanco-Aguiar, J. Fernandez-Lopez, M. Scandura, M. Apollonio, E.Ferroglio, Oliver Keuling, M. Sange, S. Zanet, F. Brivio, T. Podgórski, K.Petrović, Soriguer, J. Vicente (2020) update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect. EFSA supporting publication 2020 TO BE COMPLETED<br> <br> Permission for reuse hunting yield outputs is granted under the terms indicated by EFSA.</p>
Fig. 4 in The Leiobunum rupestre species group: resolving the taxonomy of four widespread European taxa (Opiliones: Sclerosomatidae)
Fig. 4. Pedipalps of the Leiobunum rupestre group, whole pedipalps in lateral view, single femora in medial view. — A–F. ♁♁. A–B. Leiobunum rupestre Herbst, 1799, Germany, Baden-Württemberg, CJM1954. A. Pedipalpus lateral. B. Femur medial. C–D. L. gracile Thorell, 1876, Denmark, Asp, CJM3531. C. Pedipalpus lateral. D. Femur medial. — E–F. Leiobunum apenninicum (Martens, 1969), France, Alpes- Maritimes, CJM2747. E. Pedipalpus lateral. F. Femur medial. — G–M. ♀♀. G–H. Leiobunum rupestre Herbst, 1799, Germany, Mt. Arber, CJM136. G. Pedipalpus lateral. H. Femur medial. J–K. L. gracile Thorell, 1876, Denmark, Asp, CJM3531. J. Pedipalpus lateral. K. Femur medial. L–M. L. apenninicum (Martens, 1969), France, Alpes-Maritimes, CJM2747. L. Pedipalpus lateral. M. Femur medial. Arrows indicate characters mentioned in the descriptions.
Fig. 1 in The Leiobunum rupestre species group: resolving the taxonomy of four widespread European taxa (Opiliones: Sclerosomatidae)
Fig. 1. Habit of Leiobunum rupestre species group. A–B. Leiobunum rupestre Herbst, 1799, Slovenia, Pohorje Mountains, resting at rock faces. A. ♁. B. ♀. C–D. Leiobunum apenninicum (Martens, 1969), Italy, Monesi di Triora, at night. C. ♁. D. ♀. E–F. Leiobunum gracile Thorell, 1876, Denmark. E. ♁. F. ♀. Photographs: A–D by A.L.Schönhofer; E–F by S. Toft, all taken in the field.
Fig. 3 in The Leiobunum rupestre species group: resolving the taxonomy of four widespread European taxa (Opiliones: Sclerosomatidae)
Fig. 3. Body of Leiobunum C.L. Koch, 1839, dorsal view. A–B. Leiobunum rupestre Herbst, 1799, Germany, Mt. Arber, CJM136. A. ♁. B. ♀. — C–D. Leiobunum gracile Thorell, 1876, Denmark. C. ♁, 2 km N of Skaerbaek, CJM3530. D. ♀, Asp, CJM3531. — E–F. Leiobunum apenninicum (Martens, 1969), France, Alpes-Maritimes. E. ♁, CJM1508. F. ♀, CJM2747. Drawings by K. Rehbinder.
Fig. 5. Leiobunum, male genitalia. A–C. L. rupestre Herbst, 1799 in The Leiobunum rupestre species group: resolving the taxonomy of four widespread European taxa (Opiliones: Sclerosomatidae)
Fig. 5. Leiobunum, male genitalia. A–C. L. rupestre Herbst, 1799, Germany, Baden-Württemberg, CJM1954. A. Ventral view. B. Lateral view. C. Cross-section. — D–F. L. gracile Thorell, 1876, Denmark, 2 km N of Skaerbaek, CJM3530. D. Ventral view. E. Lateral view. F. Cross-section. — G–J. L. apenninicum (Martens, 1969), France, Alpes-Maritimes, CJM1508. G. Ventral view. H. Lateral view. J. Cross-section. Arrows indicate the area of the respective cross-sections.
Genetic variation in early fitness traits across European populations of silver birch (Betula pendula)
<p>Early life phenotypic data from three <em>Betula pendula</em> common garden experiments spread across the species latitudinal range in Europe.</p>
Fig. 3 in Atlas of European millipedes 2: Order Julida (Class Diplopoda)
Fig. 3. Area codes as used in the atlas, from Fauna Europaea guidelines (Jong et al. 2014, supplementary material 1). Reproduced with permission. Note that MN (Montenegro) and SB (Serbia) in the above list and throughout this paper are shown as YU (Yugoslavia) on this map.
Fig. 1. A in Atlas of European millipedes 2: Order Julida (Class Diplopoda)
Fig. 1. A selection of European species of Julida. A. Boreoiulus tenuis (Bigler, 1913) (Blaniulidae) (J. Spelda phot.). B. Trichoblaniulus hirsutus (Brölemann, 1899) (Trichoblaniulidae) (D. Cheung phot.). C–J. Julidae. C. Cylindroiulus boleti (C.L. Koch, 1847) (J. Spelda phot.). D. Leptoiulus belgicus (Latzel, 1884) (J. Spelda phot.). E. Ommatoiulus hoffmani Akkari & Enghoff, 2012 (K. Mohr phot.). F. Ommatoiulus sabulosus (Linnaeus, 1758), colour variety from the Italian Riviera (D. Cheung phot.). G. Pteridoiulus aspidiorum Verhoeff, 1913 (J. Spelda phot.). H. Pachyiulus cattarensis (Latzel, 1884) (D. Antić phot.). I. Serboiulus deelemanni Strasser, 1971 (D. Antić phot.). J. Unciger foetidus (C.L. Koch, 1838) (J. Spelda phot.). Not to scale.
Data for D7.1 FAIR in European Higher Education
<p>As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022.</p> <p>FAIRsFAIR Work Package 7 “FAIR Data Science and Professionalisation” aims to develop resources and build communities that support the uptake of RDM and FAIR practice within higher education curricula.</p> <p>The data published here stems from a both a web-based questionnaire with 90 responses conducted within FAIRsFAIR WP7 between 19 September and 15 November 2019.</p> <p>The questionnaire covered several dimensions of research data management at HEIs relevant for the implementation of FAIRsFAIR WP7, as well as WP3 “FAIR Data Policy Practice” and WP6 “FAIR Competence Centre”. These dimensions included:</p> <ul> <li>Institutional research data management policies </li> <li>Support services for research data management</li> <li>Competence development of students and graduates</li> <li>Universities and EOSC</li> <li>FAIRsFAIR support for universities</li> </ul> <p>The data resulting from the survey has been used as the basis for <a href="http://doi.org/10.5281/zenodo.3629683">D7.1 FAIR in European Higher Education</a>.</p> <p>The following files are available:</p> <ul> <li>Codebook including original questionnaire</li> <li>Dataset</li> </ul>
Projected freshwater needs of the energy sector in the European Union and the UK
<p>This dataset contains the projections of future freshwater demands of the energy sector (primary energy supply and transformation in power plants and oil refineries) in the EU and the United Kingdom for the period 2015-2050, in 5-year steps. The projections are estimated by the combination of water withdrawal and consumption factors for different energy technologies under six energy scenarios, at national and NUTS2 level, as described in the JRC technical report: Hidalgo Gonzalez, I., Medarac, H. and Magagna, D., Projected freshwater needs of the energy sector in the European Union and the UK, EUR 30266 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-19829-1 (online), doi:10.2760/796885 (online), JRC121030.</p>
Top-down and bottom-up vegetal and animal product metabolic profiles for 29 european countries (EU27 + United Kingdom + Norway).
<p>This repository contains the data needed to reproduce the results in:</p> <p>Cadillo-Benalcazar, J.; Renner, A. Giampietro, M. (2020). A multiscale integrated analysis of the factors characterizing the sustainability of food systems in Europe. Journal of Environmental Management. Volume 271, 1 October 2020, 110944. <a href="https://doi.org/10.1016/j.jenvman.2020.110944">https://doi.org/10.1016/j.jenvman.2020.110944</a></p> <p>Renner, A.; Cadillo-Benalcazar, J.; Benini, L., Giampietro, M. (2020). Environmental pressure of the European agricultural system: Anticipating the biophysical consequences of internalization. Ecosystem services. Special Issue: Agro-futures. Volume 46, December 2020, 101195. <a href="https://doi.org/10.1016/j.ecoser.2020.101195">https://doi.org/10.1016/j.ecoser.2020.101195</a></p>
FIG. 2 in On the morphology of the astragalus and calcaneus of the amphicyonids (Carnivora, Mammalia) from the Paleogene of Europe: implications for the ecology of the European bear-dogs
FIG. 2. — Tarsal bones of Cynodictis lacustris from Aubrelong (France; Rupelian, MP21): A-E, MNHN.F.Au994, left astragalus (reversed views); A, dorsal view; B, ventral view; C, lateral view; D, distal view; E, proximal view; F-J, MNHN.F.Au2044, right calcaneus; F, dorsal view; G, lateral view; H, medial view; I, distal view; J, proximal view. Abbreviations: cf, cuboid facet; ef, ectal facet; f, foramen; ff, fibular facet; h, head; ll, lateral lip; lp, lateral process; lpt, lateral process of tuber; ml, medial lip; mpt, medial process of tuber; n, neck; ppt, proximal plantar tuberosity; plt, plantar tubercle; pp, peroneal process; ptg, plantar tendon groove; sf, sustentacular facet; sg, sagittal groove; sit, sinus of the tarsus; st, sustentaculum tali; tc, tuber calcanei; tr, trochlea. Scale bar: 1 cm.
APPENDIX 1 in On the morphology of the astragalus and calcaneus of the amphicyonids (Carnivora, Mammalia) from the Paleogene of Europe: implications for the ecology of the European bear-dogs
APPENDIX 1. — Measurements, in mm, of astragali used for the estimation of body mass. For each morphotype, only the values of the smallest and biggest specimens are provided.
FIG. 4 in On the morphology of the astragalus and calcaneus of the amphicyonids (Carnivora, Mammalia) from the Paleogene of Europe: implications for the ecology of the European bear-dogs
FIG. 4. — Calcanei of undetermined amphicyonids from the Quercy (France; Priabonian-Chattian, MP18-MP30): A-E, Morphotype A, MNHN.F.Qu9845, left calcaneus (reversed views): A, dorsal view; B, lateral view; C, medial view; D, distal view; E, proximal view; F-J, Morphotype B, KUL.PLV1542_28, left calcaneus (reversed views); F, dorsal view; G, lateral view; H, medial view; I, distal view; J, proximal view; K-O, Morphotype C, KUL.PLV1542_29, left calcaneus (reversed views): K, dorsal view; L, lateral view; M, medial view; N, distal view; O, proximal view. Abbreviations: cf, cuboid facet; ef, ectal facet; lpt, lateral process of tuber; mpt, medial process of tuber; pp, peroneal process; plt, plantar tubercle; ptg, tendinous plantar groove; sg, sagittal groove; sf, sustentacular facet; st, sustentaculum tali; tc, tuber calcanei. Scale bar: 1 cm.
Data 1 for "Population- and age-specific patterns of haemosporidian assemblages and infection levels in European Bee-eaters (Merops apiaster)"
<p>Data related to the article "Population- and age-specific patterns of haemosporidian assemblages and infection levels in European Bee-eaters (<em>Merops apiaster</em>)" in the format .xlsx. The 1st sheet contains all variables for analyses done with the R script (see 10.5281/zenodo.3968360). The 2nd sheet contains explanations about the variables in sheet 1.</p>
European maritime region definition
<p>With the increasing share of the installed Renewable Sources (RES) capacity, evaluating the effect of renewable energy on the energy supply is a very important issue which is addressed in several climate services projects such as C3S-Energy, Clim2power or C3S-ECEM. Prospective analysis are generally made at regional level (e.g. TIMES model) and it is becoming a standard practice to aggregate gridded RES power generation data into aggregated values at NUTS1 or NUTS2 level. This approach raises an issue for the consideration of the offshore wind energy as well as other Marine Renewable Energies (MRE) since there is to the best of our knowledge no commonly accepted region definition corresponding to the NUTS boundaries for the maritime area.</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.