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.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
Excess Entropy Scaling in Supercooled Ternary Metallic Mixtures
<p>The folder contains the results from the simulations;<br> for some of the mixtures the python start file is included.</p> <p>The Jupyter notebook files were used to make the plots in our report.</p> <p>The csv files in the main folder contain the most important results.</p> <p>The files "binary_results.csv" and "single_results.csv" were taken from the research paper:<br> "Excess-entropy scaling in supercooled binary mixtures" I. H. Bell, J. C. Dyre, and T. S. Ingebrigtsen <br> (Nature communications)</p> <p>The dataset includes the results organized the following way:<br> Mixture -> density -> "simfiles" -> temperature -> run-number -> results of the simulation</p> <p>In order to use the Jupyter notebooks, the file paths may have to be updated.</p> <p>Let us know if you find the results useful or have suggestions for us.</p>
Data for: Large-scale long-term passive-acoustic monitoring reveals spatiotemporal activity patterns of boreal bats
<p class="MsoNormal"><span>The distribution ranges and spatio-temporal patterns in the occurrence and activity of boreal bats are yet largely unknown due to their cryptic lifestyle and lack of suitable and efficient study methods. We approached the issue by establishing a permanent passive-acoustic sampling setup spanning the area of Finland to gain an understanding on how latitude affects bat species composition and activity patterns in northern Europe. The recorded bat calls were semi-automatically identified for three target taxa; <em>Myotis</em> spp., <em>Eptesicus nilssonii</em> or <em>Pipistrellus nathusii</em> and the seasonal activity patterns were modeled for each taxa across the seven sampling years (2015–2021). We found an increase in activity since 2015 for <em>E. nilssonii</em> and <em>Myotis </em>spp. For <em>E. nilssonii</em> and <em>Myotis</em> spp. we found significant latitude -dependent seasonal activity patterns, where seasonal variation in patterns appeared stronger in the north. Over the years, activity of <em>P. nathusii</em> increased during activity peak in June and late season but decreased in mid season. We found the passive-acoustic monitoring </span><span>network to be an effective and cost-efficient method for gathering b</span><span>at activity data to analyze spatio-temporal patterns. Long-term data on the composition and dynamics of bat communities facilitates better estimates of abundances and population trend directions for conservation purposes and predicting the effects of cli</span><span>mate change.</span></p>
Supplementary data for the paper: "Bacteria-based self-healing concrete exposed to frost salt scaling"
<p>Supplementary data for the paper: “Bacteria-based self-healing concrete exposed to frost salt scaling”.<br> <br> Open data concerning experimental work. The paper presents the benefits of introducing a bacteria-based healing agent in concrete to enable self-healing, assessed under frost salt scaling conditions. Durability tests such as scaling, water permeability and chloride ingress were performed. In addition, a microstructural analysis based on mercury intrusion porosimetry (MIP), fluorescence microscopy, thin section analysis, scanning electron microscopy (SEM) and energy-dispersive X-ray (EDX) spectroscopy was performed. </p> <p> </p>
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
<p>Accompaning data to the paper:</p> <p>Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking</p>
Codes and data related to the article: Renard et al. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. Journal of Geophysical Research - Atmospheres.
<p>This package contains R codes and data related to the article:</p> <p>B. Renard, D. McInerney, S. Westra, M. Leonard, D. Kavetski, M. Thyer and J.-P. Vidal. Floods and Heavy Precipitation at the Global Scale: 100-year Analysis and 180-year Reconstruction. <em>Journal of Geophysical Research - Atmospheres</em>. DOI: <a href="https://doi.org/10.1029/2022JD037908">10.1029/2022JD037908</a></p> <p><strong>Analyses</strong></p> <p>This folder contains the R scripts used to set up models, analyse results and prepare figures. See README file for details.</p> <p><strong>ShinyApp</strong></p> <p>This folder contains an interactive Shiny App to explore the data and the results from the article.</p> <p>An online version can be found at <a href="https://hydroapps.recover.inrae.fr/HEGS-paper">https://hydroapps.recover.inrae.fr/HEGS-paper</a></p> <p> </p>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale
<pre>We analyse the stability of the next-to-tribimaximal mixings ($NTBM$) under radiative corrections with the variation of SUSY breaking scale ($m_s$) for both normal and inverted hierarchical cases at the fixed value of seesaw scale $M_R = 10^{15}$ GeV and $\tan \beta = 30$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_s$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data. NH case is found to be more stable than IH case for all four cases.</pre>
Colossal optical anisotropy from atomic-scale modulations: manuscript data
<ul> <li>Relevant data files for Main Text figures of "Colossal optical anisotropy from atomic-scale modulations"</li> <li>Relevant data files for Supplementary Information figures of "Colossal optical anisotropy from atomic-scale modulations"</li> </ul>
Harter Scale / Escala de Harter // HARTER_Data_IC_T4-Post
<p>Answers given by children in the fourth grade of Primary Education to the 36 items of the The Children’s Perceived Competence Scale (Harter, 2012), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón (Spain) in the spring of the school year 2013-14. The scale is administered collectively. The calculation of the 6 Factors is included: Self-perception of academic competence, Self-perception of physical competence, Self-perception of social competence, Self-perception of physical appearance, Self-perception of behavioral conduct, and Self-perception of global self-worth. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los niños/as de cuarto curso de Educación Primaria dan a los 36 ítems de la Escala de Autocompetencia Percibida de los Niños (Harter, 2012), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2013-14. La escala se administra de forma colectiva. Se incluye el cálculo de los 6 Factores: Autopercepción de competencia académica, Autopercepción de competencia deportiva, Autopercepción de competencia social, Autopercepción de la apariencia física, Autopercepción de la conducta y Autopercepción de valía global. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Scale / Escala de Harter // HARTER_Data_CC-CS_T4-Post
<p>Answers given by children in the fourth grade of Primary Education to the 36 items of the The Children’s Perceived Competence Scale (Harter, 2012), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón and Seville (Spain) in the spring of the school year 2012-13. The scale is administered collectively. The calculation of the 6 Factors is included: Self-perception of academic competence, Self-perception of physical competence, Self-perception of social competence, Self-perception of physical appearance, Self-perception of behavioral conduct, and Self-perception of global self-worth. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p>Respuestas que los niños/as de cuarto curso de Educación Primaria dan a los 36 ítems de la Escala de Autocompetencia Percibida de los Niños (Harter, 2012), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón y Sevilla (España) en primavera del curso escolar 2012-13. La escala se administra de forma colectiva. Se incluye el cálculo de los 6 Factores: Autopercepción de competencia académica, Autopercepción de competencia deportiva, Autopercepción de competencia social, Autopercepción de la apariencia física, Autopercepción de la conducta y Autopercepción de valía global. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Scale / Escala de Harter // HARTER_Data_CC-CS_T6-Post
<p>Answers given by children in the sixth grade of Primary Education to the 36 items of the The Children’s Perceived Competence Scale (Harter, 2012), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón and Seville (Spain) in the spring of the school year 2014-15. The scale is administered collectively. The calculation of the 6 Factors is included: Self-perception of academic competence, Self-perception of physical competence, Self-perception of social competence, Self-perception of physical appearance, Self-perception of behavioral conduct, and Self-perception of global self-worth. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p>Respuestas que los niños/as de sexto curso de Educación Primaria dan a los 36 ítems de la Escala de Autocompetencia Percibida de los Niños (Harter, 2012), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón y Sevilla (España) en primavera del curso escolar 2014-15. La escala se administra de forma colectiva. Se incluye el cálculo de los 6 Factores: Autopercepción de competencia académica, Autopercepción de competencia deportiva, Autopercepción de competencia social, Autopercepción de la apariencia física, Autopercepción de la conducta y Autopercepción de valía global. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Scale / Escala de Harter // HARTER_Data_IC_T6-Post
<p>Answers given by children in the sixth grade of Primary Education to the 36 items of the The Children’s Perceived Competence Scale (Harter, 2012), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón (Spain) in the spring of the school year 2015-16. The scale is administered collectively. The calculation of the 6 Factors is included: Self-perception of academic competence, Self-perception of physical competence, Self-perception of social competence, Self-perception of physical appearance, Self-perception of behavioral conduct, and Self-perception of global self-worth. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p>Respuestas que los niños/as de sexto curso de Educación Primaria dan a los 36 ítems de la Escala de Autocompetencia Percibida de los Niños (Harter, 2012), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2015-16. La escala se administra de forma colectiva. Se incluye el cálculo de los 6 Factores: Autopercepción de competencia académica, Autopercepción de competencia deportiva, Autopercepción de competencia social, Autopercepción de la apariencia física, Autopercepción de la conducta y Autopercepción de valía global. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Pictorial Scale / Escala Pictórica de Harter // HARTER-P_Data_IC_T1-Pre
<p>Answers given by children in the first grade of Primary Education to the 24 items of the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children by Harter and Pike (1984), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón (Spain) in the autumn of the school year 2010-11. The items are written in two gendered versions, one for boys and the other for girls. The scale is administered individually. The calculation of the 4 Factors is included: Cognitive competence, Physical competence, Peer acceptance and Parents acceptance. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los niños/as de primer curso de Educación Primaria dan a los 24 ítems de la Escala Pictórica de Competencia Autopercibida de Harter and Pike (1984), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón (España) en otoño del curso escolar 2010-11. Los ítems están redactados en versión para chicos y en versión para chicas. Escala se administra de forma individual Se incluye el cálculo de los 4 Factores: Competencia cognitiva, competencia física, aceptación de los iguales y aceptación de los padres. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Pictorial Scale / Escala Pictórica de Harter // HARTER-P_Data_IC_T2-Post
<p>Answers given by children in the second grade of Primary Education to the 24 items of the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children by Harter and Pike (1984), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón (Spain) in the spring of the school year 2011-12. The items are written in two gendered versions, one for boys and the other for girls. The scale is administered individually. The calculation of the 4 Factors is included: Cognitive competence, Physical competence, Peer acceptance and Parents acceptance. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los niños/as de segundo curso de Educación Primaria dan a los 24 ítems de la Escala Pictórica de Competencia Autopercibida de Harter and Pike (1984), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2011-12. Los ítems están redactados en versión para chicos y en versión para chicas. La escala se administra de forma individual. Se incluye el cálculo de los 4 Factores: Competencia cognitiva, competencia física, aceptación de los iguales y aceptación de los padres. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Harter Pictorial Scale / Escala Pictórica de Harter // HARTER-P_Data_CC-CS_T1-Pre-Rev
<p>Answers given by children in the first grade of Primary Education to the 24 items of the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children by Harter and Pike (1984), translated into Spanish by García Bacete et al. (2014). Data collected in public schools in Castellón and Seville (Spain) in the autumn of the school year 2009-10. The items are written in two gendered versions, one for boys and the other for girls. The scale is administered individually. The calculation of the 4 Factors is included: Cognitive competence, Physical competence, Peer acceptance and Parents acceptance. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los niños/as de primer curso de Educación Primaria dan a los 24 ítems de la Escala Pictórica de Competencia Autopercibida de Harter and Pike (1984), traducida al español por García Bacete et al. (2014). Datos recogidos en centros públicos de Castellón y Sevilla (España) en otoño del curso escolar 2009-10. Los ítems están redactados en versión para chicos y en versión para chicas. Escala se administra de forma individual Se incluye el cálculo de los 4 Factores: Competencia cognitiva, competencia física, aceptación de los iguales y aceptación de los padres. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history
<p><span>Parasitoids are small insects, (e.g., small wasps or flies) that reproduce by laying eggs on or within host arthropods. Parasitoids make up a large proportion of the world's biodiversity and are popular agents of biological control. Idiobiont parasitoids paralyze their hosts upon attack and thus are expected to only target hosts large enough to support offspring development. Host resources generally impact host attributes and life histories including size, development, and life span. Some argue slow host development in response to resource quality increases parasitoid efficacy (i.e., a parasitoid's ability to successfully reproduce on or within a host) due to longer host exposure to parasitoids. However, this hypothesis is not always supported and does not consider variation in other host traits in response to resources that may be important for parasitoids (e.g., variation in host size is known to impact parasitoid efficacy). In this study, we test whether trait variation within host developmental stages in response to host resources is more important for parasitoid efficacy and life histories than trait variation across host developmental stages. We exposed seed beetle hosts raised on a food quality gradient to mated female parasitoids and measured the number of hosts parasitized and parasitoid life history traits at the scale of host stage- and age-structure. Our results suggest host food quality does not cascade to impact idiobiont parasitoid life histories despite large food quality effects on host life history. Instead, variation in host life histories across host developmental stages better predicts parasitoid efficacy and life histories, suggesting finding a host in a specific instar is more important for idiobiont parasitoids than finding hosts on or within higher quality resources.</span></p>
CryptoSentiment: A large scale sentiment dataset for cryptocurrencies
<p>CryptoSentiment is a dataset, which contains sentiment information about cryptocurrency assets, gathered by various online sources, and analyzed by FinBERT sentiment extractor. More specifically, we provide a publicly available dataset containing fine-grained sentiment analysis data (minute-basis) about cryptocurrency market collected by different online sources. CryptoSentiment dataset includes 235,907 sentiment scores for 14 different cryptocurrencies gathered from various online sources such as news articles and social media.</p>
Scale insects contribute to spider conservation in urban trees and shrubs
<p>Urbanization filters arthropod communities and selects for species tolerant of urban conditions. Spiders are key generalist predators in urban ecosystems, but certain spider families are rare in cities compared to rural areas. The unique arthropod communities found in different tree species likely affect their ability to conserve spiders by providing different prey resources. If arthropods disperse from trees to plants growing below trees, the conservation benefits of the arthropod communities found in trees may also extend to plants growing beneath them. Certain urban tree species can host high densities of scale-insects and other arthropods that may provide important prey resources for spiders. To assess the conservation value of different arthropod communities in urban trees, we collected spiders from scale-infested and scale-uninfested trees and from shrubs under these trees. We used hanging cup traps to collect spiders that fell from both tree types. Spider abundance was greater within, and in shrubs below, scale-infested compared to scale-uninfested trees. Scale-infested trees hosted more orb web weaving spiders than scale-uninfested trees. Shrubs under scale-infested trees hosted more hunting, orb web weaving, and space web weaving spiders than shrubs under uninfested trees. Our findings suggest that scale-infested urban trees, and the robust arthropod communities they support, conserve certain spider guilds, and these benefits extend to other plants in the landscape.</p> <p><strong>Implications for insect conservation:</strong> The ability of urban trees to conserve spider communities is in part attributable to the abundance of potential prey available within trees. Therefore, tolerating pests such as scale insects in urban trees can conserve spider communities both within trees and in shrubs planted below these trees.</p>
School Social Behavior Scales / Escalas de Conducta Social en la Escuela // MERRELL-SCHOOL_Data_IC_T4-Post
<p>Answers given by teachers of students in the fourth grade of Primary Education to the 64 items of the School Social Behavior Scales by Merrell (2002; adapted by Salazar and Caballo, 2006). Data collected in public schools in Castellón (Spain) in the spring of the school year 2013-14. The calculation of the 6 subscales is included: Peer Relations, Self-Management – Compliance, Academic behavior, Hostile – Irritable behavior, Antisocial – Aggressive behavior and Defiant – Disruptive behavior, as well as the 2 general scales: Social Competence and Antisocial Behavior. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los profesores de los alumnos/as de cuarto curso de Educación Primaria dan a los 64 ítems de las Escalas de Conducta Social en la Escuela de Merrell (2002; adaptada por Salazar y Caballo, 2006). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2013-14. Se incluye el cálculo de las 6 subescalas: Relaciones con compañeros, Autocontrol – obediencia, Comportamiento académico, Comportamiento hostil-irritable, Comportamiento antisocial-agresivo y Comportamiento desafiante-disruptivo, y de las 2 escalas generales: Competencia Social y Comportamiento Antisocial. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
School Social Behavior Scales / Escalas de Conducta Social en la Escuela // MERRELL-SCHOOL_Data_IC_T2-Post
<p> </p> <p>Answers given by teachers of students in the second grade of Primary Education to the 64 items of the School Social Behavior Scales by Merrell (2002; adapted by Salazar and Caballo, 2006). Data collected in public schools in Castellón (Spain) in the spring of the school year 2011-12. The calculation of the 6 subscales is included: Peer Relations, Self-Management – Compliance, Academic behavior, Hostile – Irritable behavior, Antisocial – Aggressive behavior and Defiant – Disruptive behavior, as well as the 2 general scales: Social Competence and Antisocial Behavior. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p> </p> <p>Respuestas que los profesores de los alumnos/as de segundo curso de Educación Primaria dan a los 64 ítems de las Escalas de Conducta Social en la Escuela de Merrell (2002; adaptada por Salazar y Caballo, 2006). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2011-12. Se incluye el cálculo de las 6 subescalas: Relaciones con compañeros, Autocontrol – obediencia, Comportamiento académico, Comportamiento hostil-irritable, Comportamiento antisocial-agresivo y Comportamiento desafiante-disruptivo, y de las 2 escalas generales: Competencia Social y Comportamiento Antisocial. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p> <p> </p>
School Social Behavior Scales / Escalas de Conducta Social en la Escuela // MERRELL-SCHOOL_Data_IC_T6-Post
<p>Answers given by teachers of students in the sixth grade of Primary Education to the 64 items of the School Social Behavior Scales by Merrell (2002; adapted by Salazar and Caballo, 2006). Data collected in public schools in Castellón (Spain) in the spring of the school year 2015-16. The calculation of the 6 subscales is included: Peer Relations, Self-Management – Compliance, Academic behavior, Hostile – Irritable behavior, Antisocial – Aggressive behavior and Defiant – Disruptive behavior, as well as the 2 general scales: Social Competence and Antisocial Behavior. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>Respuestas que los profesores de los alumnos/as de sexto curso de Educación Primaria dan a los 64 ítems de las Escalas de Conducta Social en la Escuela de Merrell (2002; adaptada por Salazar y Caballo, 2006). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2015-16. Se incluye el cálculo de las 6 subescalas: Relaciones con compañeros, Autocontrol – obediencia, Comportamiento académico, Comportamiento hostil-irritable, Comportamiento antisocial-agresivo y Comportamiento desafiante-disruptivo, y de las 2 escalas generales: Competencia Social y Comportamiento Antisocial. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
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.