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.

17,039

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

17,039 results for “Natural”

Learn how ShareScore rates datasets ↗
zenodo40/100

FIG. 4 in New records for the liverwort and hornwort flora of Vietnam 2. Bazzania Gray and some other collections of Pierre Tixier in the National Museum of Natural History, France

FIG. 4. — Bazzania recurva (Mont.) Trevis.: A, habit, ventral view; B, leaf. Bazzania revoluta (Steph.) N.Kitag.: C, habit, ventral view; D, underleaf. Bazzania spiralis (Reinw. et al.) Meijer: E, habit, ventral view; F, leaf. Scale bars: A, 2 mm; C, 1 mm; B, E, F, 500 µm.

opencc-zeroSep 2023View details →
zenodo40/100

FIG. 5 in New records for the liverwort and hornwort flora of Vietnam 2. Bazzania Gray and some other collections of Pierre Tixier in the National Museum of Natural History, France

FIG. 5. — Acrolejeunea tjibodensis Grolle & Gradstein: A, habit, ventral view; B, gynoecia, with perianth. Denotarisia ligulifolia (De Not.) Grolle: C, Habit, ventral and lateral view; D, leaf cells. Lepidozia quadridens (Nees) Gottsche et al.: E, habit, ventral view; F, underleaves. Scale bars: A-C, 1 mm; D, 50 µm; E, 250 µm; F, 100 µm.

opencc-zeroSep 2023View details →
zenodo40/100

FIG. 3 in New records for the liverwort and hornwort flora of Vietnam 2. Bazzania Gray and some other collections of Pierre Tixier in the National Museum of Natural History, France

FIG. 3. — Bazzania loricata (Reinw., Blume & Nees) Trevis.: A, leaf; B, underleaf. Bazzania pectinata (Lindenb. & Gottsche) Trevis.: C, leaf; D, underleaf. Bazzania praerupta (Reinw., Blume & Nees) Trevis.: E, dry shoot, side view; F, wet shoot, ventral view. Scale bars: A, C, 500 µm; B, D, 250 µm; E, F, 1 mm.

opencc-zeroSep 2023View details →
zenodo40/100

FIG. 2. Bazzania friabilis N in New records for the liverwort and hornwort flora of Vietnam 2. Bazzania Gray and some other collections of Pierre Tixier in the National Museum of Natural History, France

FIG. 2. Bazzania friabilis N.Kitag. & Kodama: A, habit, ventral view; B, shoot with caducous leaves; C, leaf apex; D, underleaves (Tixier s.n., PC0764741). Bazzania cf. indica (Gottsche & Lindenb.) Trevis.: E, habit, ventral view; F, underleaf (Tixier 185). Scale bars: A, B, F, 200 µm; C, 50 µm; D, 100 µm; E, 1 mm.

opencc-zeroSep 2023View details →
zenodo40/100

FIG. 1 in New records for the liverwort and hornwort flora of Vietnam 2. Bazzania Gray and some other collections of Pierre Tixier in the National Museum of Natural History, France

FIG. 1. — Bazzania adnexa (Lehm. & Lindenb.) Trevis.: A, underleaf; B, leaf distal half (Tixier 5256). Bazzania asymmetrica (Steph.) N.Kitag.: C, underleaf; D, habit, ventral view (Tixier s.n., PC0764741). Bazzania bidentula (Steph.) Steph. ex Yamada: E, habit, dorsal view; F, habit, ventral view (Tixier s.n., PC0764741). Scale bars: A, 125 µm; B, C, F, 250 µm; D, E, 500 µm.

opencc-zeroSep 2023View details →
zenodo40/100

Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions

<p>This dataset was used to run the analyses for Logghe et al. (2024). Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions. Journal of Animal Ecology, 93(9), 1365-1379. <a href="https://doi.org/10.1111/1365-2656.14161">https://doi.org/10.1111/1365-2656.14161</a></p> <p>"Arthropod_movement.csv" contains the results of experimental fieldwork, where movement speed and direction were recorded for individuals belonging to multiple arthropod species. Each row contains data on taxonomy, weather conditions, movement speed and movement direction of an individual measurement. Metadata is provided for the different columns.</p> <p>"Summary_observations.csv" gives an overview of the amount of individuals that were tested for each species. This dataset separates flying and cursorial movement, since several species were able to switch between these two modes.</p> <p><strong>Abstract</strong></p> <p><strong>Background: </strong>Movement is a crucial life history component and holds direct significance to population dynamics, thereby influencing population viability. For arthropods in general, larger species achieve greater dispersal distances and large scale movements are influenced by weather conditions. However, many aspects of arthropod movement behaviour remain relatively unexplored, especially on small spatial scales. Studies on this topic are scarce and often limited to a few specific species or laboratory conditions. Consequently, it remains uncertain whether the effects of body size and weather conditions can be generalized across a wide range of arthropod species in natural environments.</p> <p><strong>Methods: </strong>To help address this knowledge gap, we conducted a field study in two nature reserves in Belgium, focusing on both flying and cursorial arthropods. Over 200 different arthropod species were captured and released within a circular setup, allowing quantification of movement speed and direction. By analysing the relationship between these movement variables and morphological (body size) as well as environmental factors (temperature and wind), we aimed to gain insights into the mechanisms driving small-scale arthropod movement under natural conditions.</p> <p><strong>Results: </strong>For flying species, movement speed is positively correlated with both body size and (tail)wind speed. In contrast, movement speed of cursorial individuals was solely positively related with temperature. Notably, movement direction was biased towards the vegetated areas where the arthropods were originally caught, suggesting an internal drive to move towards suitable habitat. This tendency was particularly strong in larger flying individuals, in smaller cursorial species and under tailwind conditions. Furthermore, both flying and cursorial taxa were hindered from moving towards the habitat by strong upwind.</p> <p><strong>Conclusions: </strong>Body size can be used as a useful proxy for not only movement speed, but orientation capacity as well. This movement-size correlation is, at least at small temporal scales, conditional to the prevailing wind conditions.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by John Roslyn Garnet, <a href="http://www.wikidata.org/entity/Q6453231">http://www.wikidata.org/entity/Q6453231</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Eltio Alegondas Forsten, <a href="http://www.wikidata.org/entity/Q17626646">http://www.wikidata.org/entity/Q17626646</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJun 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Franz Frimmel, <a href="http://www.wikidata.org/entity/Q1314638">http://www.wikidata.org/entity/Q1314638</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Paul Foelsche, <a href="http://www.wikidata.org/entity/Q17004596">http://www.wikidata.org/entity/Q17004596</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Nellie Francena Waite Flynn, <a href="http://www.wikidata.org/entity/Q96103578">http://www.wikidata.org/entity/Q96103578</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Eric John Godley, <a href="http://www.wikidata.org/entity/Q5386820">http://www.wikidata.org/entity/Q5386820</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Paul Fromm, <a href="http://www.wikidata.org/entity/Q111508242">http://www.wikidata.org/entity/Q111508242</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Hugh Douglas Gordon, <a href="http://www.wikidata.org/entity/Q21514135">http://www.wikidata.org/entity/Q21514135</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Heinrich Friese, <a href="http://www.wikidata.org/entity/Q91144">http://www.wikidata.org/entity/Q91144</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Victor Planchat, <a href="http://www.wikidata.org/entity/Q95388848">http://www.wikidata.org/entity/Q95388848</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by François-Jules Pictet de la Rive, <a href="http://www.wikidata.org/entity/Q118957">http://www.wikidata.org/entity/Q118957</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by C. M. Pomerat, <a href="http://www.wikidata.org/entity/Q94535014">http://www.wikidata.org/entity/Q94535014</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Edna Melinda Porter, <a href="http://www.wikidata.org/entity/Q98640477">http://www.wikidata.org/entity/Q98640477</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Lily May Perry, <a href="http://www.wikidata.org/entity/Q5395639">http://www.wikidata.org/entity/Q5395639</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroSep 2023View 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.