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6,170 results for “european”
Data from: Vocal performance in birdsong is an aggressive signal in both females and males: Experimental evidence from a field study in European robins
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Long-term changes in taxonomic and functional composition of European marine fish communities
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Higher spring phenological sensitivity to forcing temperatures of Asian compared to European tree species under low and high pre-chilling conditions Datasets
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Dung nutrient data of rabbit, fallow deer, horse, cow, and European bison
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Data from: Oviposition and larval mycelia preference of the saproxylic European stag beetle
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Wader breeding densities across European habitats
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Data to: Lying deadwood retention affects microhabitat use of martens (Martes spp.) in European mountain forests
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Genomic footprints of recovery in the European bison
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With or without you: Gut microbiota does not predict aggregation behavior in European earwig females
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Decreasing stem growth in common European tree species despite earlier growth onset
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Genetic admixture between Central European and Alpine wolf populations
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Genetic response to human‐induced habitat changes in the marine environment: A century of evolution of European sprat in Landvikvannet, Norway
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European high-skilled mobility data and Scientific publication & collaboration data
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FIGURE 8 in Macaronesian Muscidae (Diptera). I. The genus Hebecnema Schnabl with description of a new Canarian endemic species and a review of the European fauna
FIGURE 8. Hebecnema spp. Ovipositor, left half only, except for sternites VI and VII. A, B. H. umbratica (Meigen). C. H. anthracinella sp. nov. Abbreviations: Ce = cercus; Ep = epiproct; Hy = hypoproct; St = sternite; T = tergite.
FIGURE 1. Hebecnema anthracina Stein. Male terminalia. A, B. Sternites IV and V in Macaronesian Muscidae (Diptera). I. The genus Hebecnema Schnabl with description of a new Canarian endemic species and a review of the European fauna
FIGURE 1. Hebecnema anthracina Stein. Male terminalia. A, B. Sternites IV and V in ventral and lateral views. C, D. Cerci, surstyli and epandrium in posterior and lateral views.
FIGURE 6 in Macaronesian Muscidae (Diptera). I. The genus Hebecnema Schnabl with description of a new Canarian endemic species and a review of the European fauna
FIGURE 6. Hebecnema nigra (Robineau-Desvoidy). Male terminalia. A, B. Sternite V in ventral and lateral views. C, D. Cerci, surstyli and epandrium in posterior and lateral views.
FIGURE 4 in Macaronesian Muscidae (Diptera). I. The genus Hebecnema Schnabl with description of a new Canarian endemic species and a review of the European fauna
FIGURE 4. Hebecnema umbratica (Meigen). Male terminalia. A, B. Sternite V in ventral and lateral views. C, D. Cerci, surstyli and epandrium in posterior and lateral views.
FIGURE 3 in Macaronesian Muscidae (Diptera). I. The genus Hebecnema Schnabl with description of a new Canarian endemic species and a review of the European fauna
FIGURE 3. Hebecnema fumosa (Meigen). Male terminalia. A, B. Sternite V in ventral and lateral views. C, D. Cerci, surstyli and epandrium in posterior and lateral views.
Supplementary material for the manuscript: Genetic structure of the European hedgehog (Erinaceus europaeus) in Denmark
<p>This database contains supplementary material for our manuscript "Genetic structure of the European hedgehog (<em>Erinaceus europaeus</em>) in Denmark":</p> <p><strong>S1 Fig/Figure 1a.</strong> Box plot of the individual heterozygosity (iH<sub>O</sub>) estimated for the six populations</p> <p><strong>S2 Fig/Figure 1b. </strong>Plot of the iH<sub>O</sub> values ranked from the lowest to the highest values within each population</p> <p><strong>S3 Fig/Figure 2. </strong>Likelihood plot of STRUCTURE results</p> <p><strong>S4 Fig/Figure 3.</strong> Likelihood plot of STRUCTURE results (for separate populations)</p> <p><strong>S5 Fig/Figure 4. </strong>Principal Component Analysis</p> <p><strong>S1 Table/Table 2. </strong>Overview of individuals for genetic sampling</p> <p><strong>S2 Table/Table 3. </strong>Dataset from GENEPOP</p> <p><strong>S3 Table/ Table 4. </strong>Data for fragmentation analyses</p> <p><strong>S4 Table/Table 1.</strong> Tukey’s test matrix for testing pairwise significant differences of the mean iH<sub>O</sub> between the six populations</p>
Set of European CO2 and CO emission grids representing emission uncertainties
<p>This dataset was prepared by TNO as a contribution to the H2020 project CHE and the H2020 project VERIFY. The basis is a high-resolution (~1x1 km) emission inventory providing CO<sub>2</sub> and CO (from fossil fuels and biofuels separately) over western Europe (2ºW - 19ºE, 47ºN - 56ºN). The reported emissions by European countries to UNFCCC (CO<sub>2</sub>) and to EMEP/CEIP (CO) have been used and where needed gap-filled or replaced with emission data from the GAINS model. These country-level emissions are disaggregated in space using a consistent spatial distribution methodology, whereas large point sources are listed with their exact locations. This approach is similar to the one described by Kuenen et al., (ACP, 2014). Emissions are reported per GNFR sector, with an extra split for road transport.</p> <p>The emission grids that are part of this dataset are a variation on the base grid, representing the uncertainty in the emission data. Each grid is equally plausible. The grids have been created using a Monte Carlo approach. The uncertainties in the underlying data used to create the base grid (emissions: activity data and emission factors, spatial proxies) have been collected (either from country reports or based on expert judgement). Through the Monte Carlo simulation these uncertainties, taking into account error correlations between some sub-sectors, are combined to create ten new emission grids. The spread in emissions between these emission maps gives an indication of the uncertainty in the emissions.</p> <p>The grid files (in .csv and .nc format) contain annual total emissions per grid cell for the year 2015. A separate file has been prepared for each ensemble member in the Monte Carlo simulation (indicated with M). The unit in the files is kg/yr.</p> <p>A detailed description of the Monte Carlo simulation is presented in:</p> <p>Super, I., Dellaert, S. N. C., Visschedijk, A. J. H., and Denier van der Gon, H. A. C.: Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-696, in review, 2019.</p> <p><strong>N.B. It is important to note that 10 maps are not sufficient to describe the sometimes complex uncertainty structures, for example in the case of lognormal uncertainty distributions. The interpretation of the uncertainty based on these 10 maps should therefore be done with care.</strong></p> <p><strong>NB. Despite efforts to prevent negative emissions to occur in the grid maps, some negative values are still present. In local studies this might cause some issues, and we recommend to set negative emissions to zero in those cases.</strong></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.