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6,170 results for “european”
Figs 10-17 in A European discovery: Kalliste pavonum gen. nov., sp. nov., the smallest phalangiid species known to date (Arachnida: Opiliones: Phalangiidae)
Figs 10-17. Kalliste pavonum gen. sp. nov. (10-12) Male pedipalp in pro-lateral (10), retro-lateral (11) and dorsal view (12); patella and tibia only (11-12). (13-15) Female pedipalp in pro-lateral (13), retro-lateral (14) and dorsal view (15); patella and tibia only (14-15). (16-17) Palpal claws of male (16) and female (17), both from Col de Verde, lateral view. Scales: 0.3 mm (Figs 10-15); 0.03 mm (Figs 16-17).
Figs 5-9 in A European discovery: Kalliste pavonum gen. nov., sp. nov., the smallest phalangiid species known to date (Arachnida: Opiliones: Phalangiidae)
Figs 5-9. Kalliste pavonum gen. sp. nov. (5) Body of male holotype with chelicerae and pedipalps in lateral view. (6) Same (without chelicerae and pedipalps) in dorsal view. (7) Male chelicera in retro-lateral view. (8) Female chelicera in same view. (9) Male tuber oculorum in lateral view. Scales: 1.0 mm (Figs 5-6); 0.3 mm (Figs 7-8); 0.25 mm (Fig. 9).
Figs 1-4 in A European discovery: Kalliste pavonum gen. nov., sp. nov., the smallest phalangiid species known to date (Arachnida: Opiliones: Phalangiidae)
Figs 1-4. Kalliste pavonum gen. sp. nov. (1) Body of male holotype in dorsal view. (2) Same in ventral view. (3) Body of female paratype in dorsal view. (4) Same in ventral view. Scale: 0.5 mm.
Data set: Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage
<p>This dataset was produced as a part of a research MSc thesis project, “<em>Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage</em><em>” </em>published by the KU Leuven in joint cooperation with Europeana.</p> <p>The dataset contains the data from the Europeana API call, graphs created form the data and the code needed to collect the CH metadata from Europeana digital collections which was used to evaluate the policy aims used in the study. Within this repository one will find the code scripts used to make the API calls, three Raw data files and two cleaned data spreadsheets with graphs used in the published revised research thesis</p> <p>Links to the research produced with this dataset and the Original Thesis published by the KU Leuven can be found below.</p> <p>Research Report: Morgenstern, Paul Simon. (2022). Using Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage. Zenodo. https://doi.org/10.5281/zenodo.7278645</p> <p> </p> <p>Thesis: Morgenstern, P., Truyen, F., & Nyi Nyi Htun, ’. (2022). Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage. KU Leuven. Faculteit Wetenschappen.</p>
DATASET SPARC Europe Open Education in European Libraries of Higher Education Survey 2022
<p>This is the anonymised dataset for the 2022 edition of the SPARC Europe Open Education Survey amongst Higher Education libraries in Europe.</p>
Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale
<p>This is the input dataset to a Python script (<a href="https://github.com/oskeng/MF-bio-grass">https://github.com/oskeng/MF-bio-grass</a>) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts.</p> <p>For more information about the dataset and the study, see the original article:</p> <p>Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy</p>
Research data repository survey data (European Research Data Landscape study)
<p>Anonymised data of the research data repository survey for the European Research Data Landscape study.</p>
F-UJI assessment dataset (European Research Data Landscape study)
<p>Public dataset of the F-UJI assessment of research data for the European Research Data Landscape study.</p>
F-UJI and FAIR Enough tool comparison dataset (European Research Data Landscape study)
<p>Dataset used to compare the assessment results on the levels of Findability, Accessability, Interoperability and Reusability of datasets in a sample of repositories, by means of the F-UJI FAIR data assessment tool and FAIR-Enough assessment tool. Assessment carried out for the European Research Data Landscape study.</p>
Data from: Pan-European phylogeography of the European roe deer (Capreolus capreolus)
<p>To provide the most comprehensive picture of species phylogeny and phylogeography of European roe deer (<em>Capreolus</em> <em>capreolus</em>), we analysed mtDNA control region (610 bp) of 1469 samples of roe deer from Central and Eastern Europe and included in the analyses an additional 1,541 mtDNA sequences from GenBank from other regions of the continent. We detected two mtDNA lineages of the species: European and Siberian (an introgression of <em>C</em>. <em>pygargus</em> mtDNA into <em>C</em>. <em>capreolus</em>). The Siberian lineage was most frequent in the eastern part of the continent and declined towards Central Europe. The European lineage contained three clades (Central, Eastern and Western) composed of several subclades, many of which were separated in space. The Western clade appeared to have a discontinuous range from Portugal to Russia. Most of the subclades in the Central and the Eastern clades were under expansion during the Weichselian glacial period before the Last Glacial Maximum (LGM), while the expansion time of the Western clade overlapped with the Eemian interglacial. The high genetic diversity of extant roe deer is the result of their survival during the LGM probably in a large, contiguous range spanning from the Iberian Peninsula to the Caucasus Mts. and in two northern refugia.</p>
50000 SNPs for genomic prediction of ash dieback susceptibility in European Ash
<p>This file is <a href="https://www.nature.com/articles/s41559-019-1036-6">Stocks et al (2019)</a> Supplementary Table 7j with major allele (MAA) and minor allele (MIA) identities added.<br> Estimated effect sizes (EES) from genomic prediction model trained on the pool-seq data using the top 50000 SNPs from the pool-seq GWAS<br> Contig = Contig in BATG0.5 assembly <br> Pos = SNP location in contig <br> EES.MIA = Estimated effect size of minor allele <br> EES.MIA.SE = Standard Error of Estimated effect size of minor allele<br> EES.MAA = Estimated effect size of major allele<br> EES.MAA.SE = Standard Error of Estimated effect size of major allele <br> MIA = identity of minor allele <br> MAA = identity of major allele</p>
Using DNA metabarcoding to explore spatial variation in diet across European Hawfinch populations
<p><span>The investigation of diet in avian species is essential to an understanding of their ecology and local adaptations, as well as long-term conservation. This can be particularly challenging due to the wide distribution and high ecological plasticity of many bird species. Dietary richness and variation are under-studied in woodland bird species, due primarily to challenges in accurately identifying plant and invertebrate taxa consumed. Within Europe, Hawfinch (</span><span><em>Coccothraustes</em> <em>coccothraustes</em></span><span>) have shown variation in population trends, with moderate declines across central and eastern Europe, while western European populations have shown moderate increases. Ecological drivers behind this differing trend are still unknown; one possibility is differences in diet, yet little research has been conducted into Hawfinch diet in mainland Europe or elsewhere. This study aimed to present the first molecular dietary analysis of Hawfinch populations across two European countries. Faecal samples were collected between January and July of 2019 from Hawfinch caught at six artificial feed sites: two in Denmark and four in Germany. DNA was successfully extracted from 80 samples and plant Internal Transcribed Spacer 2 (ITS2) and invertebrate Cytochrome Oxidase Subunit 1 (COI) barcodes were amplified. A total of 35 plant and 37 invertebrate taxa were found across the 80 Hawfinch faecal samples, with plant and insect orders Fagales and Lepidoptera respectively the most frequently detected. Hawfinch dietary composition differed significantly between European countries, suggesting Hawfinch can make use of available food resources which are likely to differ spatially. Our study shows how DNA metabarcoding can be used to provide novel ecological information associated with under-studied bird species, thus providing essential information for future management and conservation of Hawfinch and their habitats. <br></span></p>
PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)
<p><strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at <a href="https://github.com/PyPSA/PyPSA-eur">https://github.com/PyPSA/PyPSA-eur</a> and documentation is available at <a href="http://pypsa-eur.readthedocs.io">pypsa-eur.readthedocs.io.</a></p> <p><strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong></p> <p>The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.</p> <p>It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts.</p> <p>The model is suitable both for operational studies and generation and transmission expansion planning studies.</p> <p>Some basic validation is provided in a paper describing the dataset:</p> <ul> <li>Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. <a href="https://arxiv.org/abs/1806.01613">https://arxiv.org/abs/1806.01613</a>, <a href="http://https://doi.org/10.1016/j.esr.2018.08.012">https://doi.org/10.1016/j.esr.2018.08.012</a>.</li> </ul>
Data for: Intra- and interspecific variation in trace element concentrations in feathers of North European Trans-African migrants
<p>The knowledge of migratory connectivity is important for understanding the potential drivers of populations and it is thus important for conservation implications. Migratory connectivity of species can be studied using exogenous, such as rings and transmitters, or endogenous markers, such as stable isotopes and trace elements. The use of trace elements has been much less frequently studied compared to stable isotopes. Trace elements can be studied from the feathers of birds and this does not necessarily require trapping of individuals. Here we studied the variation of 18 different trace elements in feathers of two long-distance trans-African migrants, willow warblers Phylloscopus trochilus and barn swallows Hirundo rustica, using body feathers of museum specimens of birds from Finnish breeding grounds. The trace elements were measured using Laser-Ablation Inductively-Coupled-Plasma Mass-Spectrometry. We show that trace element concentrations were relatively stable along the rachis within the same feather except in Ni and S, which showed a quadratic pattern. In general, variation within feathers of the same individuals was smaller than in feathers between individuals for most elements. Furthermore, concentrations of 11 trace elements showed significantly higher concentrations in willow warbler feathers collected in spring than in autumn, moulted in African wintering grounds and European breeding grounds, respectively. Last, concentrations of seven trace elements were significantly higher in the spring feathers of willow warblers compared to barn swallows. This suggests that trace elements could be used to separate moulting grounds of the birds on the larger scale within the same species, but also sampling design should be carefully considered.</p>
European Alps Receiver Function Database
<p>This dataset contains the receiver function traces calculated using seismic waveform data from the <a href="http://www.alparray.ethz.ch/en/home/">AlpArray Seismic Network</a>, three other temporary seismic networks, and permanent stations in the broader European Alpine region. We use this dataset to compile a new Moho depth map for the broader European Alps.</p> <p>In particular, we include:</p> <ol> <li>all the downloaded seismic waveform data (ZNE components; 120s before and after the theoretical P-wave arrival) prior to RF calculation apart from those from the PACASE seismic network that are under embargo.</li> <li>the radial receiver function traces in .SAC format (RRF.zip). One SAC trace per station and teleseismic earthquake.</li> <li>the transverse (TRF.zip) traces in .SAC format. </li> <li>the receiver function stacks from all the seismic stations plotted versus back-azimuth in .png format (RRF_plots.zip and TRF_plots.zip)</li> <li>moho_depth_picks.csv that contains the moho depth picks information shown in the main article Figure 8a. </li> <li>a CSV file with details of the teleseismic earthquakes.</li> <li>a list of all the seismic stations used here. </li> </ol> <p>For details on how to read and process the receiver function traces have a look at the README file of the repository.</p> <p>For more details on this dataset, have a look at our <a href="https://essd.copernicus.org/preprints/essd-2022-397/">manuscript</a> entitled “Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database” in Earth System Science Data (ESSD) journal and our <a href="https://github.com/kemichai/rfmpy">GitHub repository</a>. </p> <p> </p> <p> </p> <p> </p>
European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2020/2021
<p>All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2021:</p> <p>- <em>Campylobacter</em></p> <p><em>- E. coli</em></p> <p>- MRSA</p> <p>- <em>Salmonella</em></p> <p>- ESBL</p> <p>Annexes A to F are also included.</p>
Investigating the geometrical and optical properties of the persistent stratospheric aerosol layer observed over a Southern European lidar station during 2019
<p>Simulted aerosol extinction at 550nm profiles over Thessaloniki by the IFS-CB05-BASCOE-GLOMAP system.</p>
HIGGS_Inventory of the European transmission gas grid
<p> This file contains an assesment of the quantitative structure of the existing gas infrastructure focussing on asset elements that are known to be sensitive over hydrogen additions and that in case of modifications or renewal introduce significant cost.<br> </p>
Open datasets used in the analysis of impact of European Union Funding Programmes (Framework Programmes).
<p>This repository will hold datasets used in the various analysis on results, achievements and impact of European Union Funding Programmes (Framework Programmes:, FP). It supports the objective of using openly available dataset to study the results of the FP funding.</p> <p>The repository will be periodically updated with new datasets and links to the analysis.</p> <p><strong>Disclaimer:</strong></p> <p><em>The views expressed in this paper are the author’s. They do not reflect the views or official positions of the European Commission or the European Research Council.</em></p> <p> </p> <p><strong>List of datasets included :</strong></p> <p>1. dataset for the analysis: <a href="https://data.europa.eu/doi/10.2777/235579">Contribution of the Framework Programmes to IPCC: Insights from the References of IPCC Reports</a><em><strong> </strong></em></p> <p> The analysis is an update of an earlier report titled <em><strong><a href="https://data.europa.eu/doi/10.2777/928125">Informing global climate action: Contribution of the Framework Programmes (FP7 and H2020) to recent IPCC reports</a></strong></em></p> <p>the dataset is provided in json_l format </p> <p> </p>
FIG. 15 in A study of the morphology and distribution of four Achnanthidium Kütz. species (Bacillariophyta), implications for ecological status assessment, and description of two new European species
FIG. 15. — Achnanthidium tirolense sp. nov., specimens from Plansee, Austria: A-AG, LM views of valves. Scale bar: 10 µm.
ScienceDex guides
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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.