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.

13

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

13 results for “Spontaneous behavior”

Learn how ShareScore rates datasets ↗
dryad36/100

Data from: A cross-cultural investigation of young children’s spontaneous invention of tool use behaviors

Open the record for dataset details and reuse information.

publicMay 2020View details →
zenodo32/100

Separation of memory span and learning rate: evidence from behavior and spontaneous brain activity in older adults

<p>The&nbsp;data file includes two small files. The first file is Behavioral data. The second file is fMRI data.&nbsp;</p>

opencc-by-4.0Feb 2019View details →
zenodo32/100

Mouse spontaneous behavior reflects individual variation rather than estrous state

<p>Repository containing datasets obtained for Levy et al. 2023, available online here:&nbsp;https://doi.org/10.1016/j.cub.2023.02.035</p> <p>Github link to related analysis code: <a href="https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous">https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous</a></p> <p><strong>Abstract</strong></p> <p>Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during the estrous cycle is a defining feature of female internal state, one that regulates many aspects of sociosexual behavior. However, it remains unclear whether estrous state influences spontaneous behavior, and if so how these effects might relate to individual behavioral variation. Here we address this question by longitudinally characterizing the open field behavior of female mice across different phases of the estrous cycle, using unsupervised machine learning to decompose spontaneous behavior into its constituent elements1-4. We find that each female mouse exhibits a characteristic pattern of exploration that uniquely identifies it as an individual across many experimental sessions; in contrast, estrous state only negligibly impacts behavior, despite its known effects on neural circuits that regulate action selection and movement. Like female mice, male mice exhibit individual specific patterns of behavior in the open field; however, the exploratory behavior of males is significantly more variable than that expressed by females both within and across individuals. These findings suggest an underlying functional stability to the circuits that support exploration in female mice, reveal a surprising degree of specificity in individual behavior, and provide empirical support for the inclusion of both sexes in experiments querying spontaneous behaviors.</p> <p><strong>Behavioral DataFrames:</strong> holds the behavioral syllable data used for the analysis described in the manuscript:</p> <ul> <li>mean_df_female / scalar_df_female - main female dataset</li> <li>mean_df_male / scalar_df_male - main male dataset</li> <li>mean_df_female_control /&nbsp;mean_df_male_control &nbsp;- datasets for male/female control experiment presented in Fig S3.</li> </ul> <p><strong>Model files:</strong></p> <p>Additional MoSeq model files used&nbsp;for generating&nbsp;FigS2A and FigS2H.&nbsp;</p>

opencc-by-3.0-usMar 2023View details →
zenodo28/100

Figure 7 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 7 - Box-plot (medians and standard deviations on Y axis) showing the spontaneous behavioral categories variability for Copionodontinae catfishes from Chapada Diamantina. o, outliers; dark blue, hidden; light blue, stationary; dark green, bottom swim; light green, wall swim; dark yellow, midwater swim; light yellow, surface swim.

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 6 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 6 - Individual frequencies of the behavioral categories recorded for copionodontine catfishes from Chapada Diamantina. Dark blue, hidden; light blue, stationary; dark green, bottom swim; light green, wall swim; dark yellow, midwater swim; light yellow, surface swim a Glaphyropoma spinosum b Copionodon sp. n. c Copionodon pecten.

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 4 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 4 - Copionodon sp. n. – fixed specimen, left lateral view and dorsal view (Photography: Pedro Pereira Rizzato). Standard length: 38.9 mm.

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 3 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 3 - Glaphyropoma spinosum – fixed specimen, left lateral view and dorsal view (Photography: Pedro Pereira Rizzato). Standard length: 47.6 mm.

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 2 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 2 - Spatial behavior and natural habitats of copionodontine catfishes from Chapada Diamantina a Glaphyropoma spinosum (black arrow) swimming close to the bottom in a pool (Photography: Maria Elina Bichuette) b small stream in the cave environment, place where Copionodon sp. n. occurs (Photography: Jonas Eduardo Gallão) c natural pool where Copionodon pecten forages under the day-light (Photography: Bianca Rantin).

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 1 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 1 - Copionodontinae occurrence area. Map of Brazil, indicating the Chapada Diamantina region, endemic area of Copionodontinae catfishes. In green, the Chapada Diamantina National Park (CDNP), eastern Brazil. Author: Diego Monteiro Von Schimonsky.

opencc-by-4.0Aug 2015View details →
zenodo28/100

Figure 5 from: Rantin B, Bichuette M (2015) Spontaneous behavior of basal Copionodontinae cave catfishes from Brazil (Teleostei, Siluriformes, Trichomycteridae). Subterranean Biology 16: 61-77. https://doi.org/10.3897/subtbiol.16.5180

Figure 5 - Copionodon pecten – fixed specimen, left lateral view and dorsal view (Photography: Pedro Pereira Rizzato). Standard length: 43.2 mm.

opencc-by-4.0Aug 2015View details →
dryad28/100

Memory extinction and spontaneous recovery shaping parasitoid foraging behavior

Open the record for dataset details and reuse information.

publicMay 2021View details →
geo24/100

An allelic series of spontaneous Rorb mutant mice exhibit a gait phenotype, changes in retina morphology and behavior, and gene expression signatures associated with the unfolded protein response

GEO Series GSE229218. Mus musculus. 66 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
geo24/100

Decreased myelin-related gene expression in the nucleus accumbens during spontaneous neonatal opioid withdrawal in the absence of long-term behavioral effects in adult outbred CFW mice

GEO Series GSE239919. Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 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