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”
Dataset: European Wax Center, Inc. (EWCZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 5 in First report of molecular taxonomic analyses of European beaver metazoan parasites from Hungary
Fig. 5 Phylogenetic tree of Schizocarpus beaver fur mites and related astigmated mites based on the cytochrome c oxidase subunit I (COI) gene. The tree was generated with the maximum likelihood method and GTR model in MEGA 7.0. Nucleotide sequences obtained in this study are indicated in red. Branch lengths represent the number of substitutions per site inferred according to the scale shown
Fig. 4 in First report of molecular taxonomic analyses of European beaver metazoan parasites from Hungary
Fig. 4 Phylogenetic tree of Stichorchis subtriquetrus beaver fluke and related flukes based on the 18S rRNA gene. The tree was generated with the maximum likelihood method and Kimura model in MEGA 7.0. Nucleotide sequences obtained in this study are indicated in red. Branch lengths represent the number of substitutions per site inferred according to the scale shown
Fig. 3 in First report of molecular taxonomic analyses of European beaver metazoan parasites from Hungary
Fig. 3 Characteristics of Schizocarpus sp. adult male mite from Castor fiber in Hungary, a habitus in ventral view, b ventral opisthosoma with the suckers and the setae, c opisthosoma and the opisthonotal shield, d anterioventral part of the mite with the mouthparts and legs in higher magnification
Fig. 2 in First report of molecular taxonomic analyses of European beaver metazoan parasites from Hungary
Fig. 2 Dorsal and abdominal view of Platypsyllus castoris adult removed from Castor fiber in Hungary
Fig. 1 in First report of molecular taxonomic analyses of European beaver metazoan parasites from Hungary
Fig. 1 Castor fiber trapping sites in Hungary 2017–2021. a Győr-Moson-Sopron county 13 individuals; b Jász-Nagykun-Szolnok county 26 individuals; c Zala county 6 individuals; location; d Veszprém county 2 individuals
CDR deployment in Europe, NEGEM-scenario results from Pan-European TIMES-VTT energy system modelling as reported in Markkanen et al. (2024)
<p>This dataset includes cumulative and yearly carbon dioxide removal (CDR) deployment in NEGEM-scenarios for Europe.</p> <p>The results originate from Pan-European TIMES-VTT energy system model and are published in Markkanen et al. (2024), manuscript submitted to Environmental Research Letters, Focus issue on Carbon Dioxide Removals on 31/05/2024. </p> <p>Regional coverage: EU-31. Temporal coverage: until 2060. </p> <p>Cumulative values are reported for the period 2025-2050. Yearly values are reported for 2010, 2020, 2030, 2040, 2050 and 2060.</p> <p>Negative emission technologies and practises (NETPs) included: bioenergy with carbon capture and storage (BECCS), biochar, direct air carbon capture and storage (DACCS), enhanced weathering (EW), forestry (A/R; afforestation and reforestation) and soil carbon sequestration (SCS). Additionally, sum of total CDR is reported, which is the sum of NETPs. For the yearly data, absolute CO2 emissions and net CO2 emissions are reported. </p> <p>Data covers six (6) NEGEM-scenarios, TEC, ENV and SEC, and their limited variants, which exclude the use of EW and SCS. Storylines and main assumptions for NEGEM-scenarios are reported in NEGEM Deliverable 8.2 Quantifying the NEGEM pathways and impact assessments with global TIMES-VTT and PET-VTT IAMs by <a href="https://www.negemproject.eu/wp-content/uploads/2023/11/NEGEM_D8.2_NEGEM-scenarios.pdf" target="_blank" rel="noopener">Lehtilä et al. (2023).</a></p>
Fig. 4. Delia male and female hind tibiae. D in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 4. Delia male and female hind tibiae. D. platura: a = m, b = f; D. florilega: c = m, d = f; D. antiqua: e = m, f = f; D. radicum: g = m, h = f
Fig. 2 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations
Fig. 2. Scatterplots of population-specific dimension stimulus coordinates as obtained from multidimensional scaling (three-dimensional model); A (up): plot of first and second dimensions, B (down): plot of first and third dimensions. Convex polygons encompass the 20 Austrian (black circles and light grey area) and the eight Bulgarian (white circles and dark grey area) populations, respectively. Black cross indicates the Vojvodina (VOJ) population; for acronymes of Austrian populations see
Fig. 1 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations
Fig. 1. Unrooted Wagner dendogram based on modified Roger's distances (WRIGHT 1978), representing genetic relationships among brown hares from the Vojvodina (VOJ), 20 Austrian (population acronyme – A), and eight Bulgarian (population acronyme – BL) populations. For acronymes of the Austrian populations see HARTL et al. (1993) and for Bulgarian populations see SUCHENTRUNK et
Fig. 3 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations
Fig. 3. Stepwise discriminant analysis (DA): box plots of discriminant scores for the Austrian and Bulgarian populations as well as the discriminant score of the initially unclassified Vojvodina population (cross, VOJ), as obtained from DA of stimulus coordinates from the multidimensional scaling (three-dimensional model). The stippled horizontal line indicates classification of VOJ to the Aus-
Figs 18–25 in Identification Of Central European Species Of Botanophila Lioy, 1864, Based On The Female Terminalia (Diptera: Anthomyiidae)
Figs 18–25. Oviscapts of Botanophila spp. (tergites and sternites): 18 = B. brunneilinea, 19 = B. discreta, 19a = cerci of B. discreta, 19b = cerci of B. striolata, 20 = B. varicolor, 21 = B. gnava, 22 = B. rupicapra, 23 = B. retusa, 24 = B. rubrifrons, 25 = B. helviana
Figs 26–29 in Identification Of Central European Species Of Botanophila Lioy, 1864, Based On The Female Terminalia (Diptera: Anthomyiidae)
Figs 26–29. Oviscapts of Botanophila spp. (tergites and sternites): 26 = B. gentianae, 27 = B. tuxeni, 28 = B. cordifrons, 29 = B. latifrons (lateral view)
Figs 9–17 in Identification Of Central European Species Of Botanophila Lioy, 1864, Based On The Female Terminalia (Diptera: Anthomyiidae)
Figs 9–17. Oviscapts of Botanophila spp. (tergites and sternites): 9 = B. hucketti, 10 = B. fugax, 11 = B. rubrigena, 12 = B. lactucaeformis, 13 = B. biciliaris, 14 = B. profuga, 15 = B. sericea, 16 = B.
Figs 2–8 in Identification Of Central European Species Of Botanophila Lioy, 1864, Based On The Female Terminalia (Diptera: Anthomyiidae)
Figs 2–8. Oviscapts of Botanophila spp. (tergites and sternites): 2 = B. dissecta, 3 = B. phreonine, 4 = B. lobata, 5 = B. sanctimarci, 6 = B. monticola, 7 = B. seneciella, 8 = B. verticella
Fig. 1 in Identification Of Central European Species Of Botanophila Lioy, 1864, Based On The Female Terminalia (Diptera: Anthomyiidae)
Fig. 1. Oviscapt of Botanophila sp.: A = dorsal view; B = ventral view. Abbreviations: c – cerci, ep – epiproct, hy – hypoproct, st – sternite, tg – tergite
Fig. 1 in Spatial, Temporal And Individual Variability In The Autumn Diet Of European Hare (Lepus Europaeus) In Hungary
Fig. 1. Localities of the study areas. Study areas are shown as gray patches, the capital (Budapest) by striped gray area, Lake Balaton and Lake Tisza by black ones. Black lines are Hungarian rivers and
Fig. 1 in Choosy Outsiders? Satellite Males Associate With Sexy Hosts In The European Tree Frog Hyla Arborea
Fig. 1. Box plots for snout-urostyle length of sampled males of Hyla arborea, classified as satellites, callers or hosts. Boxes represent standard error of mean and whiskers represent standard deviation. Small squares represent mean
Figure 3 in Colour variations in the European tree frog, Hyla arborea (Linnaeus, 1758), from two small adjacent ponds in the Vojvodina province, Serbia
Figure 3. Two green colour variations: the typical, bright green a) and paler, yellowish b). Photos: Aleksandar Simović.
Figure 1 in Colour variations in the European tree frog, Hyla arborea (Linnaeus, 1758), from two small adjacent ponds in the Vojvodina province, Serbia
Figure 1. Two ponds where the frogs were observed: a) the larger one, near a settlement, overgrown with reeds; b) small, shallow pond with open water. Photos: Sonja Đorđević.
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.