Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,170
datasets available to search
ShareScore release 0.9.0
Dataset results
6,170 results for “european”
FIG. 21 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. 21. — Relationships between diatom assemblages, four Achnanthidium Kütz. species and land use in 52 streams, rivers and lakes of Scotland, United Kingdom. A, B, NMDS ordination (2D stress 0.1) of Bray-Curtis similarities of diatom assemblages: A, the vector plot shows the direction of linear increase in land use types and the multiple correlation of each of the land use categories with the diatom assemblages; B, the vector plot shows the direction of linear increase in the most abundant diatom species and the multiple correlation of each species with the diatom assemblages. C-F, bubble plots of species: the relative abundance of four diatom species in 52 diatom assemblages is represented by the circle size: C, Achnanthidium minutissimum (Kütz.) Czarn.; D, Achnanthidium sieminskae Witkowski, Kulikowskiy & Riaux-Gob.; E, Achnanthidium neomicrocephalum Lange-Bert. & F.Staab; F, Achnanthidium caledonicum (Lange-Bert.) Lange-Bert.
FIG. 3 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. 3. — Achnanthidium caledonicum (Lange-Bert.) Lange-Bert.: A-B, specimens from Brunnsee, Germany; C-F, specimens from Scotland, 2012, 44sto; A, SEM external view of whole raphe valve and rapheless valve; B, SEM external view of whole raphe valve, mantle and girdle bands at pole; C, SEM external view of valve centre of raphe valve; D, SEM external view of valve centre of rapheless valve; E, SEM external view of pole of raphe valve; F, SEM external view of pole of rapheless valve. Scale bars: A, 10 µm; B, 5 µm; C-F, 3 µm.
FIG. 1 in Mallomonas teres, sp. nov. (Chrysophyceae), simultaneously revealed in two distant European peat-bog regions
FIG. 1. — Body scales of Mallomonas teres, sp. nov.: A, B, scales observed in a transmission electron microscope; C, a scale observed in a scanning electron microscope. Scale bars: 1 µm.
Extreme values and exceedances of chlorophyll-a calculated from the OBGP MODIS AQUA v2018 dataset's daily files in European seas between 2003 and 2021.
<p>This dataset includes all the files generated to extract the extreme values of chlorophyll-a in European Seas between 2003 and 2021.</p> <p>The thresholds used are the overall's period and the monthly 90th percentiles.</p> <p>These files support a publication recently submitted.</p> <p> </p>
Data from: Long-term, not short-term, temperatures predict timing of egg-laying in European Starling (Sturnus vulgaris)
<p>Temperature is thought to be an important supplemental cue used by female birds to time breeding. It is widely assumed that late spring temperatures, within ~1 month of egg-laying, are most predictive of laying date, consistent with the idea that temperature is used to fine-tune timing of breeding to year-specific local conditions at the time of laying. Here we show that a relatively broad, long-term, temperature window (Jan 2 – Apr 4, 92 days; r2 = 0.73) best predicted timing of egg-laying in European Starlings (<em>Sturnus vulgaris</em>). A "mid-winter" temperature window was also strongly correlated with laying date (r2 = 0.58) but there was no support for an influence of short-term temperatures immediately before egg-laying. We assessed the relationship between ambient temperature and timing of egg-laying using three complimentary approaches: a) an "unconstrained", exploratory analysis, b) a traditional sliding window approach, and c) specific, biologically-informed temperature windows. Our results contrast markedly with the widely held view, in the avian breeding phenology literature, that immediate, pre-breeding, temperatures best predict short-term variation in laying because they allow birds to fine-tune timing of breeding to local conditions around the time of egg-laying. This means that mechanisms that allow integration of long-term temperature information must exist in birds – perhaps most parsimoniously involving direct effects of temperature on growth of the bird's ectothermic insect prey– even though these are currently poorly characterized.</p>
Supplementary material for "Using a parallel corpus to study patterns of word order variation: Determiners and quantifiers within the noun phrase in European languages"
<p>- output-{ciep,treebanks}-full.csv: frequency and entropy for all the categories, using four types of combinations of layers;<br> - plots.R: R script to draw plots from the output files;<br> - readReport-{CIEP+,treebanks}.R: R script to extract frequency and compute entropy from the report files (not included);<br> - ud-wordorder.py: Python script to extract word order pairs from conllu files and write them in report files.</p> <p>Unfortunately, I cannot include the report files, as CIEP+ is protected by copyright; the analysis can be however replicated with respect to the UD Treebanks.</p>
SECURES-Met - A European wide meteorological data set suitable for electricity modelling (supply and demand) for historical climate and climate change projections
<p>For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability. This meteorological data set for Europe for the historical period and climate change projections fulfills all relevant criteria for energy modelling. It has a hourly temporal resolution, considers local effects up to a spatial resolution of 1 km and has a suitable size, as all variables are aggregated to NUTS regions. Additionally meteorological information from wind speed and river run-off is directly converted into power productions, using state of the art methods and the current information on the location of power plants. Within the research project SECURES (https://www.secures.at/) this data set has been widely used for energy modelling.</p> <p> </p> <p>The SECURES-Met dataset provides variables visible in the table.</p> <table> <tbody><tr> <th>Variable</th> <th>Short name</th> <th>Unit</th> <th>Aggregation methods</th> <th>Temporal resolution</th> </tr> </tbody><tbody> <tr> <th>Temperature (2m)</th> <td>T2M</td> <td> <p>°C</p> <p>°C</p> </td> <td> <p>spatial mean</p> <p>population weighted mean (recommended)</p> </td> <td>hourly</td> </tr> <tr> <th>Radiation</th> <td> <p>GLO (mean global radiation)</p> <p>BNI (direct normal irradiation)</p> </td> <td> <p>Wm-2</p> <p>Wm-2</p> </td> <td> <p>spatial mean</p> <p>population weighted mean (recommended)</p> </td> <td>hourly</td> </tr> <tr> <th><strong>Potential Wind Power </strong></th> <td>WP</td> <td>1</td> <td>normalized with potentially available area</td> <td>hourly</td> </tr> <tr> <th><strong>Hydro Power Potential</strong></th> <td> <p>HYD-RES (reservoir)</p> <p>HYD-ROR (run-of-river)</p> </td> <td> <p>MW</p> <p>1</p> </td> <td> <p>summed power production</p> <p>summed power production normalized with average daily production</p> </td> <td>daily</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p>SECURES-Met is available in a tabular csv format for the historical period (1981-2020, Hydro only until 2010) created from ERA5 and ERA5-Land and two future emission scenarios (<strong>RCP 4.5 </strong>and <strong>RCP 8.5</strong>, both 1951-2100, wind power starting from 1981, hydro power from 1971) created from one CMIP5 EUROCORDEX model (GCM: ICHEC-EC-EARTH, RCM: KNMI-RACMO22E, ensemble run: r12i1p1) on the <strong>spatial aggregation level</strong></p> <ul> <li>NUTS0 (country-wide),</li> <li>NUTS2 (province-wide),</li> <li>NUTS3 (Austria only),</li> <li>and EEZ (Exclusive Economic Zones, offshore only).</li> </ul> <p>The data is divided into the historical (Historical.zip) and the two emission scenarios (Future_RCP45.zip and Future_RCP85.zip), a README file, which describes, how the files are organized, and a folder (Meta.zip), which has information and shape files of the different NUTS levels. As <strong>population weighted</strong> temperature and radiation represent values in geographical areas more relevant for solar power, it is highly relevant to use population weighted files. Spatial mean should be used for reference only.</p> <p>The project SECURES, in which this dataset was produced, was funded by the Climate and Energy Fund (Klima- und Energiefonds) under project number KR19AC0K17532.</p>
Figures 5-8 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)
Figures 5-8. Synopeas samium sp. nov. holotype female. 5 – head from above; 6 – antenna; 7 – scutellum and propodeum in lateral view; 8 – metasoma from above.
Figures 1-4 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)
Figures 1-4. Platygaster multicostata sp. nov. holotype female. 1 – head from above; 2 – antenna; 3 – scutellum and propodeum in lateral view; 4 – metasoma from above.
Figures 9-13 in New European species of Platygastrinae, with an updated list of Latvian species of Platygastrinae and Sceliotrachelinae (Hymenoptera: Platygastridae)
Figures 9-13. Synopeas vikbergi sp. nov. 9 – head from above; 10 – female antenna; 11 – female scutellum and propodeum in lateral view; 12 – female metasoma from above; 13 – male antenna.
Data for ms. Dairy cattle welfare – the relative effect of legislation, industry standards and labelled niche production in five European countries
<p>Repository R 1: Scores on dimension values and weight on dimension from 38 international experts. </p> <p>Repository R2: Country Benchmark scores from 38 international experts.</p>
Spatio-temporal Dynamics of Coworking Spaces Development: The Case of Selected Central European Capitals
<p>The dataset provides geolocation coordinates and years of activity of coworking spaces in the selected Central European capitals - Bratislava, Budapest, Prague, and Warsaw.</p>
Input data, species level results and code accompanying paper: Drivers of the changing abundance of European birds at two spatial scales
<p>This repository contains the input data, species level results and code associated with the paper: <strong>Drivers of the changing abundance of European birds at two spatial scales. </strong></p>
A year-round observation of δ13C of dicarboxylic acids and related compounds in fine aerosols: Implications from Central European background site
<p>Data for paper of following abstract:</p> <p>Isotopic analysis of specific compounds in aerosols can be a useful tool when studying atmospheric processes. Here, we present the results of stable carbon isotope ratio (δ<sup>13</sup>C) measurements performed on a one-year set (n = 96, Sep. 2013 - Aug. 2014) of dicarboxylic acids and related compounds in PM<sub>1</sub> at a rural Central European background site, Košetice (Czech Republic).</p> <p>The most <sup>13</sup>C enriched acid was oxalic (C<sub>2</sub>, annual average = -16.6±5.0‰) followed by malonic (C<sub>3</sub>, avg. = -19.9±6.6‰) and succinic (C<sub>4</sub>, avg. = -21.3±4.6‰) acids. Thus, δ<sup>13</sup>C values decreased with an increase in carbon numbers. Azelaic acid (C<sub>9</sub>, avg. = -27.2±3.6‰) was found to be the least <sup>13</sup>C enriched.</p> <p>A comparison of δ<sup>13</sup>C of dicarboxylic acids from other background sites, especially in Asia, shows similar values to those from the European site. This comparison also showed that C<sub>2</sub> is more <sup>13</sup>C enriched at background sites than at urban ones. In general, we did not observe significant seasonal differences in δ<sup>13</sup>C values of dicarboxylic acids at the Central European station. We observed statistically significant differences (p value < 0.05) between winter and summer δ<sup>13</sup>C values solely for C<sub>4</sub>, glyoxylic acid (ωC<sub>2</sub>), glutaric acid (C<sub>5</sub>) and suberic acid (C<sub>8</sub>).</p> <p>The only significant correlations between δ<sup>13</sup>C of C<sub>2</sub> and δ<sup>13</sup>C of C<sub>3</sub> were found in spring and summer, suggesting that the oxidation of C<sub>3</sub> to C<sub>2</sub> is significant in these months with a strong contribution from biogenic aerosols. The strongest season-independent annual correlation was observed in δ<sup>13</sup>C values between C<sub>2</sub> and C<sub>4</sub>, the two dominant dicarboxylic acids. Therefore, C<sub>4</sub> appears to be the main intermediate precursor of C<sub>2</sub> throughout the whole year.</p>
Fig. 5. Data labels. A. Xylocopamoerens Perty, 1833 in The primary types of some species of Centris bees described by European entomologists in the 18 and 20 centuries (Hymenoptera: Apidae)
Fig. 5. Data labels. A. Xylocopamoerens Perty, 1833 (lectotype ♀). B. Xylocopaxanthocnemis Perty, 1833 (lectotype ♂).
Fig. 1. Data labels. A. Centris debilis Dominique, 1898 in The primary types of some species of Centris bees described by European entomologists in the 18 and 20 centuries (Hymenoptera: Apidae)
Fig. 1. Data labels. A. Centris debilis Dominique, 1898 (lectotype ♂). B. Centris dominiquella Dominique, 1898 (lectotype ♀).
Fig 2. Data labels. A. Centris zonalis Dominique, 1898 in The primary types of some species of Centris bees described by European entomologists in the 18 and 20 centuries (Hymenoptera: Apidae)
Fig 2. Data labels. A. Centris zonalis Dominique, 1898 (lectotype ♀). B. Centris lyngbyei Jensen- Haarup, 1908 (lectotype ♂).
Fig. 4. Data labels. A in The primary types of some species of Centris bees described by European entomologists in the 18 and 20 centuries (Hymenoptera: Apidae)
Fig. 4. Data labels. A. Centrisrhodophthalma Pérez, 1911 (lectotype ♀). B. Centristransversa Pérez, 1905 (lectotype ♀).
Analysis of gaps in rapeseed (Brassica napus L.) collections in European genebanks - supplementary data
<p>Species distribution modelling (or ecological niche modelling) was used to predict the effects of climate change on the future distribution of the wild relatives of Brassica napus L. in Europe and countries bordering the Mediterranean Sea. Modelling procedures followed the methods described by Aguirre-Gutierrez et al. 2017 (10.1111/ddi.12573) and van Treuren et al. 2017+2020 (10.1016/j.biocon.2017.10.003; 10.1016/j.gecco.2020.e01054).</p>
Climatic adaptation explains responses to Pleistocene oscillations and diversification in European vipers
<p>Table with the occurrence data at 10 min resolution (~20x20 km) for 24 lineages of the genus <em>Vipera, </em>used in "Climatic adaptation explains responses to Pleistocene oscillations and diversification in European vipers".</p>
ScienceDex guides
Understand access before you commit
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.