Skip to main content
Powered by ShareScore

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

Reset

Dataset results

4,669 results for “Environment;”

Learn how ShareScore rates datasets ↗
zenodo32/100

FIGURE 8. Secondary structure V3 in A phylogenetically distant clade of Nostoc-like (Cyanobacteria) taxa with the description of Reofilinostoc matlalcueyense gen. et sp. nov. from an extreme environment

FIGURE 8. Secondary structure V3 helix (16S-23S ITS) of Reofilinostoc matlalcueyense, Desikacharya nostocoides, and Minunostoc cylindricum.

opennotspecifiedJun 2024View details →
zenodo32/100

FIGURE 5 in A phylogenetically distant clade of Nostoc-like (Cyanobacteria) taxa with the description of Reofilinostoc matlalcueyense gen. et sp. nov. from an extreme environment

FIGURE 5. Maximum Likelihood (ML) phylogeny of Nodulariaceae and Nostocaceae, based on 1284 nucleotide positions analyzed.

opennotspecifiedJun 2024View details →
zenodo32/100

FIGURE 6. Environments where Adesmia ser. Adesmia occurs. A in Towards a Monophyletic Infrageneric Circumscription of Adesmia DC. (Dalbergieae, Leguminosae): a Taxonomic Revision in Adesmia series Adesmia

FIGURE 6. Environments where Adesmia ser. Adesmia occurs. A. Mountainous region near Tarma, Junín, Peru. B. Population of A. latifolia on the side of the road SC-110, highland grassland between Urubici and São Joaquim, Santa Catarina, Brazil. C. Pampa grassland within the Biological Reserve of Ibirapuitã, Rio Grande do Sul, Brazil. D. Highland Grassland in Treze Tílias, Santa Catarina, Brazil. E. Steep sided inselbergs called "Guaritas", at Minas do Camaquã, Rio Grande do Sul, Brazil. F. Pampa grasslands at Santa Rosa, La Pampa, Argentina. (Photos: A. Ruth Ripley. B, C, & E. Thiago Cobra e Monteiro. D. João Ricardo Vieira Iganci. F. Aníbal Prina).

opennotspecifiedMar 2024View details →
zenodo32/100

Figure 3 in Behavioural adjustments enable the colonization of subterranean environments

Figure 3. Plots showing the effects of the independent variables used in regression analyses. For the three-level factor related to the species ecological classification, plots show results of pairwise comparison with the intercept (i.e. troglobites). A, results for exploratory behaviour. B, results for anti-predator behaviour. C, results for foraging behaviour. D, results for social behaviour. Error bars report the standard error.

opennotspecifiedOct 2023View details →
zenodo32/100

Figure 2 in Behavioural adjustments enable the colonization of subterranean environments

Figure 2. Representative behaviours considered in this review. A, Proteus anguinus swims fearlessly in groundwater environments. Photograph: Arne Hodalič/Wikimedia Commons/CC BY-SA 3.0. B, The Monte Albo cave salamander, Speleomantes flavus, one of the top predators of Italian caves. Photograph: Gentile Francesco Ficetola. C, Oxichilus draparnaudi, a facultative cave species, is feeding on faeces inside a natural cave. Photograph: Enrico Lunghi. D, aggregative behaviours of harvestmen on a cave wall in Khammouane, Laos. Photograph: Johannes Lundberg.

opennotspecifiedOct 2023View details →
zenodo32/100

Figure 1 in Behavioural adjustments enable the colonization of subterranean environments

Figure 1. Schematic representation of our theoretical framework. The three main ecological factors commonly shared by subterranean environments are shown within boxes, and dashed arrows show their interconnectivity. The four behavioural categories (exploratory, antipredator, foraging and social behaviour) are shown within ovals. Behavioural traits belonging to these categories are likely to be affected by the ecological factors occurring in subterranean environments (continuous arrows), and convergent evolution of specific phenotypical traits is expected as a consequence of adaptation to similar ecological conditions.

opennotspecifiedOct 2023View details →
zenodo32/100

Figure 3 in Refining spider guilds for arid environments

Figure 3. Guild classification based on the matrix in Table 3 (species manually collected). 1. Aerial ambushers. 2. Ground ambushers. 3. Ground runners. 4. Jumping spiders. 5. Specialists. 6. Stalkers. 7. Funnel/burrow/tube weavers. 8. Irregular web weavers. 9. Orb weavers. 10. Sheet web weavers. 11. Space web weavers.

opennotspecifiedJun 2024View details →
zenodo32/100

Figure 1 in Refining spider guilds for arid environments

Figure 1. (a) Collection site. Numbers on the map indicate the predominant vegetation type (see Materials and methods). (b) Ramp trap which was placed in different types of vegetation.

opennotspecifiedJun 2024View details →
zenodo32/100

Fig. 3 in Discoderus LeConte Species Exhibit Episodic Emergences in both Urban and Natural Environments of Arizona, USA (Coleoptera: Carabidae)

Fig. 3. Syntype specimens of Discoderus species described by Casey from Arizona. All scale bars 5 mm. A) D. aequalis Casey, 1914, B) D. congruens Casey, 1914, C) D. obsidianus Casey, 1914, D) D. papagonis Casey, 1924, E) D. hesperus Casey, 1914, junior subjective synonym of D. parallelus, F) D. pinguis Casey, 1884, G) D. subviolaceus Casey, 1914, H) D. symbolicus Casey, 1914.

opennotspecifiedMar 2024View details →
zenodo32/100

Fig. 1 in Discoderus LeConte Species Exhibit Episodic Emergences in both Urban and Natural Environments of Arizona, USA (Coleoptera: Carabidae)

Fig. 1. Discoderus obsidianus emergence in 2022. A) Dorsal habitus, female from Mesa, AZ (scale bar 5 mm), B) Accumulation of suspected D. obsidianus in Scottsdale, AZ on a front porch over a single night.

opennotspecifiedMar 2024View details →
zenodo32/100

Fig. 2 in Discoderus LeConte Species Exhibit Episodic Emergences in both Urban and Natural Environments of Arizona, USA (Coleoptera: Carabidae)

Fig. 2. Distribution map of Discoderus obsidianus. Localities based on digital records from SCAN (circles), GBIF (triangles), BugGuide (diamonds), and physical specimens from this event (squares). The Texas record is an outlier for which the identification was not confirmed by the authors.

opennotspecifiedMar 2024View details →
zenodo32/100

Figure 3 in Hydroperiod of temporary ponds threats amphibian recruitment in Mediterranean environments

Figure 3. Precipitation fallen per month each hydrological year during the studied period. Colours represent the number of ponds filled at the beginning of the spring. The total amount of precipitation each year is showed in bold.

opennotspecifiedJul 2023View details →
zenodo32/100

Figure 2 in Hydroperiod of temporary ponds threats amphibian recruitment in Mediterranean environments

Figure 2. Annual rainfall in Maamora forest from 2008 to 2022. Each hydrological year includes data from September of

opennotspecifiedJul 2023View details →
zenodo32/100

Figure 1 in Hydroperiod of temporary ponds threats amphibian recruitment in Mediterranean environments

Figure 1. Location of the study area and distribution of the temporary ponds in 2017 (medium bright green dots), in 2018 Downloaded from Brill.com 08/07/2024 04:58:47PM (bigger light green dots), in 2019 (medium dark viablue Opendots) Access and.inThis 2021is(an smallestopenlight accessblue dots article). distributed under the terms

opennotspecifiedJul 2023View details →
zenodo32/100

Fig. 2 in Distinct Size and Distribution Patterns of the Sand-sifting Sea Star, Archaster typicus, in an Urbanised Marine Environment

Fig. 2. (a) Arm length (mm) of all sea stars measured across all three Singapore sites. (b) Arm length (mm) of sea stars at each site (HAN: Pulau Hantu, PSL: Pulau Subar Laut, SJI: St John's Island).

opennotspecifiedJun 2018View details →
zenodo32/100

Fig. 4 in Distinct Size and Distribution Patterns of the Sand-sifting Sea Star, Archaster typicus, in an Urbanised Marine Environment

Fig. 4. Sediment proportions across sites and between months showing greater proportions of coarse material at PSL (HAN: Pulau Hantu, PSL: Pulau Subar Laut, SJI: St John's Island). © 2018 Academia Sinica, Taiwan

opennotspecifiedJun 2018View details →
zenodo32/100

Fig. 3 in Distinct Size and Distribution Patterns of the Sand-sifting Sea Star, Archaster typicus, in an Urbanised Marine Environment

Fig. 3. Nearest Neighbour Index (NNI) values of transects across months showing generally clustered populations of A. typicus at the transect level. Red dashed line (NNI = 1) indicates a random distribution, with values above 1 indicating dispersion and values below 1 indicating clustering (HAN: Pulau Hantu, PSL: Pulau Subar Laut, SJI: St John's Island).

opennotspecifiedJun 2018View details →
zenodo32/100

Fig. 1 in Distinct Size and Distribution Patterns of the Sand-sifting Sea Star, Archaster typicus, in an Urbanised Marine Environment

Fig. 1. Map of Singapore with enlarged portion highlighting three study sites off the southern coast of mainland Singapore (HAN: Pulau Hantu, PSL: Pulau Subar Laut, and SJI: St John's Island) (adapted from https://commons.wikimedia.org/wiki/File:Singapore_Outline. svg).

opennotspecifiedJun 2018View details →
zenodo32/100

Historic version of the Environments - EOL project: archive from EOL v2

Open the record for dataset details and reuse information.

opennotspecifiedAug 2024View details →
zenodo32/100

Historic version of the Environments - EOL project: updated source files from partner

The version we had been using is "eol_env_annotations_noParentTerms.tar.gz"

opennotspecifiedAug 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.