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.
4,669
datasets available to search
ShareScore release 0.9.0
Dataset results
4,669 results for “Environment;”
Dataset and Model Code for "Fortitudinous fisher: the role of individuality and context dependency in informing habitat selection in risky environments."
<p>Fine-scale GPS location data for 43 fisher in Rhode Island formatted for habitat analysis using step selection function (200avail_7030_95x) as R file. R-script containing model code.</p>
ISM and MICMAC Approach to the Improvement of Safe Working Environment in Port Construction
Open the record for dataset details and reuse information.
Fig. 1 in Diversity of forensically-important dipteran species in different environments in northeastern Brazil, with notes on the attractiveness of animal baits
Fig. 1. Indices of Shannon–Wiener's diversity (H') and Pielou's Equity (J) of 4 types of environment in northeastern Brazil, regarding necrophagous Diptera species.
Reciprocal best hits BLAST files for "EXCRETE workflow enables deep proteomics of the microbial extracellular environment"
<p>.fasta file input and tabular output from a BLAST reciprocal best hits analysis on https://usegalaxy.eu/</p>
Figure 2 in Individual size, sex, and rearing environment impact on aggression in newly weaned seals
Figure 2. Frequency of aggression (smooth based on size by sex interaction on a linear scale predictor) from newly weaned female gray seals (n = 6) and their size (mass at capture in kilograms) with confidence intervals (dashed) and data points shown on the x-axis (two individuals were the same mass at capture, hence only five points).
Fig. 3 in A report of nine unrecorded bacterial species in the phylum Bacteroidetes collected from freshwater environments in Korea
Fig. 3. Neighbor-joining phylogenetic tree, based on 16S rRNA gene sequences, showing the relationships among the isolates and taxa in the order Cytophagales. The values above each branch indicate the percentage levels of bootstrap support (>70%) based on 1,000 resamplings. The closed circles indicate that the corresponding nodes were recovered by all treeing algorithms (NJ, MP and ML). Bar, 0.02 changes per nucleotide position.
Figure 1 from: Sánchez-Fernández D, Rizzo V, Bourdeau C, Cieslak A, Comas J, Faille A, Fresneda J, Lleopart E, Millán A, Montes A, Pallares S, Ribera I (2018) The deep subterranean environment as a model system in ecological, biogeographical and evolutionary research. Subterranean Biology 25: 1-7. https://doi.org/10.3897/subtbiol.25.23530
Figure 1 Relationship between the temperature inside the cave and the surface (Mean Annual Temperature (°C) of each pixel (0.08° cells).
Figure 1 from: Gallão JE, Bichuette ME (2018) Brazilian obligatory subterranean fauna and threats to the hypogean environment. ZooKeys 746: 1-23. https://doi.org/10.3897/zookeys.746.15140
Figure 1 Map of Brazil with main rock groups, karst areas, and formations with obligatory cave-dwelling species. Threats are indicated by letters as follows: A Minig B Reservoir construction C Deforestation for pastures D Deforestation for agriculture E Pollution of subterranean drainages F Tourism G Land conflict H Road construction, I Lowering of water table J Small hydroelectric power station buildings, K Pesticides L Natural gas and oil exploration. For Bambuí group, we grouped as follows (see Table 1 for distinction): Mambaí region - Mambaí and Posse municipalities; Distrito Federal region - Distrito Federal region plus Formosa and Padre Bernardo municipalities; Presidente Olegário region - Presidente Olegário and Vazante municipalities; Serra da Canastra region - São Roque de Minas, Arcos and Pains municipalities; Cordisburgo region - Cordisburgo, Matozinhos, Sete Lagoas, Morro do Pilar, Monjolos and Lagoa Santa municipalities; Montes Claros region - Montes Claros, Coração de Jesus and Luislândia municipalities.
Supplementary material 3 from: Gehrke B (2018) Staying cool: preadaptation to temperate climates required for colonising tropical alpine-like environments. PhytoKeys 96: 111-125. https://doi.org/10.3897/phytokeys.96.13353
Location of the tropical alpine-like climate regions in the Tropics :
Supplementary material 1 from: Gehrke B (2018) Staying cool: preadaptation to temperate climates required for colonising tropical alpine-like environments. PhytoKeys 96: 111-125. https://doi.org/10.3897/phytokeys.96.13353
Detailed examples on how the coding was done :
Figure 3 from: Gehrke B (2018) Staying cool: preadaptation to temperate climates required for colonising tropical alpine-like environments. PhytoKeys 96: 111-125. https://doi.org/10.3897/phytokeys.96.13353
Figure 3 Proportion of plant elements in tropical alpine regions based on generic distribution patterns according to Smith and Cleef (1988).
Figure 1 from: Gehrke B (2018) Staying cool: preadaptation to temperate climates required for colonising tropical alpine-like environments. PhytoKeys 96: 111-125. https://doi.org/10.3897/phytokeys.96.13353
Figure 1 Location of the tropical alpine-like climate regions in the Tropics on a Mercator projection of the world with shaded relief and coloured height based on SRTM data with 1 arc second resolution. Credit: NASA/JPL/NIMA downloaded from http://photojournal.jpl.nasa.gov/catalog/PIA03395. Detailed maps for each region are included in the Suppl. material 3 (figures S3–S6).
Figure 2 from: Gehrke B (2018) Staying cool: preadaptation to temperate climates required for colonising tropical alpine-like environments. PhytoKeys 96: 111-125. https://doi.org/10.3897/phytokeys.96.13353
Figure 2 Relative contribution of in situ speciation and immigration to species richness in selected tropical alpine regions (pie charts on the left). Blue: in situ speciation, green: colonisation, light blue: uncertainty regarding in situ speciation, light green: uncertainty about colonisation. In the right pie charts, colonisation is further decoupled into species derived from other regions with alpine-like climate (black) and species that originated by colonisation from a different biome (red). Uncertainty is indicated by grey.
ASU-BGU -Project - Echohydrology of semi-arid environments
<p>Lehavim LTER - main results and file of the matadata of Lehavim LTER research. </p>
ASU-BGU-Project - Echohydrology of semi-arid environments
<p>Lehavim LTER - main results and file of the matadata of Lehavim LTER research. </p>
Supplementary material 1 from: Balzan MV, Debono I (2018) Assessing urban recreation ecosystem services through the use of geocache visitation and preference data: a case-study from an urbanised island environment. One Ecosystem 3: e24490. https://doi.org/10.3897/oneeco.3.e24490
Supplementary Information
Figure 1 from: Suárez D, Martín S, Naranjo M (2018) First report of the invasive alien species Caenoplana coerulea Moseley, 1877 (Platyhelminthes, Tricladida, Geoplanidae) in the subterranean environment of the Canary Islands. Subterranean Biology 26: 67-74. https://doi.org/10.3897/subtbiol.26.25921
Figure 1 A location of "La Federica" mine (red dot) within Gran Canaria (Canary Islands) B topography of the mine. C.coerulea individuals were observed in the red shaded area.
Explaining the luminosity spread in young clusters: proto and pre-main sequence stellar evolution in a molecular cloud environment
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2018MNRAS.474.1176J">Jensen & Haugbølle (2018)</a>. MESA version 8845.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/stx2844">10.1093/mnras/stx2844</a></p>
Figure 6 from: Serafim-Júnior M, Perbiche-Neves G, Lansac-Toha F (2019) Environments and macrophytes as main variables controlling rotifers in a river/lake system before Porto Primavera Reservoir construction. Zoologia 36: 1-8. https://doi.org/10.3897/zoologia.36.e24191
Figure 6 Biplot of NMDS analysis used to explore spatial-temporally the rotifers assemblage, based in an abundance matrix. For codes of species see supplementary file Table S1.
Figure 2 from: Serafim-Júnior M, Perbiche-Neves G, Lansac-Toha F (2019) Environments and macrophytes as main variables controlling rotifers in a river/lake system before Porto Primavera Reservoir construction. Zoologia 36: 1-8. https://doi.org/10.3897/zoologia.36.e24191
Figure 2 Hydrometric levels represented by means of thirteen days before the samplings (Thomaz et al. 2004), between March/93 to February/94 in the Ivinhema River.
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.