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.
1,630
datasets available to search
ShareScore release 0.9.0
Dataset results
1,630 results for “Stepping”
Data from: Taxonomic delimitation of species complexes: a challenge for conservation, first steps with Abarema cochliacarpos complex
Taxonomic and ecological knowledge of plant species complexes informs their conservation status. Poorly delimited species boundaries can lead to incorrect assessments of biodiversity, and a rare species might have its distribution range overestimated if considering other closely related taxa as the same one. The present study investigates the level of morphometric variation within the Abarema cochliacarpos complex, throughout its entire distribution range in Brazilian Atlantic Forest and Caatinga vegetation, and considers the drivers of this variation. A morphometric study using cluster, PERMANOVA, and NMDS analyses was conducted. We analyzed patterns of trait variation among and within populations, and their relationship with environmental factors along with their geographical gradient. From the four morphotypes previous cited for the complex, the analyses delimited three morphological groups. Their morphological characteristics differed in response to environmental drivers. We identified morphological characters that differentiated the groups within the complex. The development of conservation strategies and actions to fully protect a species complex requires the understanding of the morphological variation within the complex. In the Abarema cochliacarpos complex different threats and challenges are associated with the conservation of each morphotype. We highlight the importance of conserving the various morphotypes of a species complex which has a large distribution range as evolutionary significant units, something that is frequently neglected in the published literature.
Integrating univariate niche dynamics in species distribution models: a step forward for marine research on biological invasions
<p>Aim The development of approaches to predict the distribution and potential expansion of invasive species is still an open challenge. Here our goal is to improve the modelling procedure for marine invaders by coupling Species Distribution Models (SDMs) with an analysis of their univariate niche dynamics. In particular, we tested for the first time whether choosing model predictors among the stable niche dimensions was effective in improving predictions of invasive species expansion.<br> Location Mediterranean Sea<br> Taxon Dusky spinefoot, Siganus luridus.<br> Methods We analysed the univariate niche dynamics for S. luridus across its native and invaded ranges, by applying a standardized framework that allowed the identification of cases of niche stability or shift. We compared inter-range transferability of SDMs fitted with different combinations of labile or stable predictors. Finally, we evaluated interactions in SDM settings (calibration area, model technique and predictors set) on models' predictive ability, using independent data from the most recent phase of invasion.<br> Results We detected a pattern of niche stability for several variables, especially salinity and bathymetry, which positively influenced model inter-ranges transferability: when the models calibrated in the native range include only stable niche axes, predictive ability is improved. We also identified a shift toward lower surface temperatures in the introduced range, which were almost never experienced by the species before invasion. The model calibrated within the combined ranges was the most ecologically congruent. Also, models calibrated in the invaded range allowed a correct prediction of range expansion, with the predicted suitable areas only slightly underestimated.<br> Main conclusions We provide the first evidence that using conserved predictors in SDMs improves inter-range projections of expanding invasive species. Variable selection, calibration area and modelling technique all matter when modelling invasive species, with important interaction effects. We provide guidelines on how to improve SDMs applications in biological invasion research.</p>
The Baby Steps web-based program for wellbeing of new parents - main data file
<p>Main data set from Baby Steps RCT</p>
An Inventive Step: Shobita Parthasarathy on the Role of Patents and Innovation in Science
<p><strong>Episode Summary:</strong></p> <p>One of the issues that gets raised by the Open Science movement is that it has a potential conflict with innovation and commercialisation of research. To explore this topic we talked to Professor Shobita Parthasarathy about how patents actually work, how we understand the idea of science as a public good, and the challenges of inclusive innovative. </p> <p><strong>Episode Links: </strong></p> <p><a href="http://stpp.fordschool.umich.edu/">Science, Technology, and Public Policy Program</a></p> <p><a href="http://shobitap.org/">http://shobitap.org/</a></p> <p>Twitter: <a href="https://twitter.com/ShobitaP">@ShobitaP</a></p> <p><em>Further reading: </em></p> <p>Shobita Parthasarathy. <a href="https://www.amazon.com/Building-Genetic-Medicine-Technology-Comparative/dp/0262162423/ref=sr_1_2?keywords=building+genetic+medicine&qid=1583277962&s=books&sr=1-2"><em>Building Genetic Medicine: Breast Cancer, Technology, and the Comparative Politics of Health Care</em></a>. Cambridge, MA: MIT Press, 2007. (available at Amazon, MIT Press, and wherever books are sold) </p> <p>Shobita Parthasarathy. <em><a href="https://www.amazon.com/Patent-Politics-Markets-Public-Interest/dp/022643785X/ref=sr_1_1?s=books&ie=UTF8&qid=1489155980&sr=1-1&keywords=patent+politics">Patent Politics: Life Forms, Markets, and the Public Interest in the United States and Europe</a>. </em>Chicago: University of Chicago Press, 2017 (available at Amazon, University of Chicago Press, and wherever books are sold)</p> <p> Shobita Parthasarathy. “<a href="https://www.nature.com/articles/d41586-018-07108-3">Use Patents to Regulate Gene Editing</a>.” <em>Nature</em>. October 25, 2018.</p> <p> Shobita Parthasarathy. “<a href="https://theconversation.com/an-early-expression-of-democracy-the-us-patent-system-is-out-of-step-with-todays-citizens-43812">An early expression of democracy, the US patent system is out of step with today’s citizens</a>.” [Updated]. <em>The Conversation</em>. July 4 2018.<strong> </strong>(reprinted in <em>Business Insider, Associated Press, </em>among other outlets)</p> <p> Shobita Parthasarathy. “<a href="https://theconversation.com/how-to-make-sure-we-all-benefit-when-nonprofits-patent-technologies-like-crispr-76829">How to make sure we all benefit when nonprofits patent technologies like CRISPR</a>.” <em>The Conversation</em>. July 19, 2017. </p>
R code, spatial and tabular data to fully reproduce STEPS simulations of population change for common brushtail possum, grassland melomys and northern brown bandicoot in northern Australia
<ol> <li> <p>The development of effective fire management for biodiversity conservation is a global challenge. The highly dynamic nature of fire, the difficulty in replicating 'real-world' fire experiments, and the need to understand population changes at large spatiotemporal scales make computer simulations particularly useful for identifying optimal fire management regimes for biodiversity conservation. </p> </li> <li> <p>We aimed to develop a flexible modelling approach with which to investigate how the spatiotemporal application of fire (i.e. management scenarios) influences savanna biodiversity. We used existing data from a landscape-scale fire experiment to develop population simulations for the common brushtail possum (<i>Trichosurus vulpecula</i>), grassland melomys (<i>Melomys burtoni</i>) and northern brown bandicoot (<i>Isoodon macrourus</i>) across the Kapalga area of Kakadu National Park in northern Australia. We simulated how populations were expected to change between 1995 and 2015 in response to the fire patterns observed at Kapalga over this period, and under a hypothetical management scenario of extensive prescribed burning.</p> </li> <li> <p>Our models predicted a substantial decline in all three species in response to the observed fire regime at Kapalga, suggesting that the fire patterns observed at Kapalga, with the associated mechanisms and interactions with other ecological processes, were not conducive with the persistence of native mammal populations. </p> </li> <li> <p>Our prescribed burning scenario had little effect on the predicted population trajectory of the common brushtail possum and grassland melomys, but markedly improved the population trajectory of the northern brown bandicoot. These inconsistencies highlight the need for a nuanced approach to fire management across northern Australian savannas, that is tailored to local conditions and management objectives. </p> </li> <li> <p>Synthesis and applications. The modelling approach outlined here, provides a basis for identifying fire patterns that are beneficial for conserving biodiversity, thereby increasing our capacity to establish clear targets for prescribed fire management. Importantly, this approach is flexible and can be easily adapted to other taxa and fire-prone ecosystems.</p> </li> </ol>
Biogeographic divides in East Asia delineated by the three-step landforms of China and the East China Sea: insights from phylogeographical breaks of Kerria japonica
<p><span><b>Aim: </b>East Asia exhibits complex geomorphological and climatic characteristics. The aim </span>of this study is to test whether the biogeographic divides present along the so-called three-step landforms of China and the East China Sea (ECS), and provide insight into the evolution the East Asian Flora (EAF) with respect to Hengduan Mountains, Central China and East China.</p> <p><span><span><b>Location:</b> East Asia</span></span></p> <p><span><span><b>Taxon: </b><i>Kerria japonica</i>, a deciduous shrub distributed in subtropical mixed evergreen and deciduous broadleaved forests of East Asia.</span></span></p> <p><span><b>Methods: </b>Three chloroplast DNA (cpDNA) regions and 15 nuclear microsatellite (nSSR) loci were sequenced/genotyped in 576/450 individuals. We performed phylogeographical analyses to assess genetic structure, historical gene flow and demographic history. Climate factors were examined to identify their effects on the phylogeographical breaks. Time</span>-calibrated phylogenetic trees and ancestral range reconstruction<span> were used to infer biogeographic history. Potential habitats at present and in the past (LIG, LGM) were identified using ecological niche modelling (ENM).</span></p> <p><span><b>Results: </b>Distinct phylogeographical breaks were found along the ECS and the edges of the three-step landforms of China. Low historical gene flow and significant climatic differences were detected in each pair of adjacent regions. Compared with the quite stable distribution range on the Chinese mainland, Japanese populations had experienced obvious northward expansion after the LGM in response to Quaternary climate change.</span></p> <p><span><b>Main conclusions: </b><i>K. japonica</i> has a complex biogeographic history, with a Mid-Miocene origin in North America and subsequent migration into East Asia via the Bering land bridge. The onset of intra-specific diversification was probably associated with the Asian monsoon intensifications, while the CJK land bridge facilitated the formation of the Japan lineage (6.78 Ma). The spatiotemporal population differentiation in Chinese mainland demonstrates the significant role of biogeographic divides delineated by three-step landforms of China; and provides clues to help understand the floristic regionalization and evolutionary history of plant diversity in East Asia, especially with respect to the Hengduan Mountains, Central China and East China.</span></p>
Data from: Hyaluronan and N-ERC/mesothelin as key biomarkers in a specific two-step model to predict pleural malignant mesothelioma
Purpose: Diagnosis of malignant mesothelioma is challenging. The first available diagnostic material is often an effusion and biochemical analysis of soluble markers may provide additional diagnostic information. This study aimed to establish a predictive model using biomarkers from pleural effusions, to allow early and accurate diagnosis. Patients and Methods: Effusions were collected prospectively from 190 consecutive patients at a regional referral centre. Hyaluronan, N-ERC/mesothelin, C-ERC/mesothelin, osteopontin, syndecan-1, syndecan-2, and thioredoxin were measured using ELISA and HPLC. A predictive model was generated and validated using a second prospective set of 375 effusions collected consecutively at a different referral centre. Results: Biochemical markers significantly associated with mesothelioma were hyaluronan (odds ratio, 95% CI: 8.82, 4.82–20.39), N-ERC/mesothelin (4.81, 3.19–7.93), CERC/mesothelin (3.58, 2.43–5.59) and syndecan-1 (1.34, 1.03–1.77). A two-step model using hyaluronan and N-ERC/mesothelin, and combining a threshold decision rule with logistic regression, yielded good discrimination with an area under the ROC curve of 0.99 (95% CI: 0.97–1.00) in the model generation dataset and 0.83 (0.74–0.91) in the validation dataset, respectively. Conclusions: A two-step model using hyaluronan and N-ERC/mesothelin predicts mesothelioma with high specificity. This method can be performed on the first available effusion and could be a useful adjunct to the morphological diagnosis of mesothelioma.
Data from: Precision grip control while walking down a step in children with unilateral cerebral palsy
Aim. To compare grip force (GF) and load force (LF) coordination while walking down a step between children with unilateral cerebral palsy (UCP) and typically developing (TD) children. Methods. Twenty-five children with UCP (age 9.3±1.7 y) and 25 TD controls (age 9.4±2.1 y) walked down a step while holding a grip-lift manipulandum. Dynamic and temporal variables were analyzed. The maximum voluntary contraction (MVC) was also assessed. Results. The temporal course was perturbed mainly in the more affected hand of children with UCP when compared to TD children because the increases in GF and LF onset occurred in a reversed order. Compared with the TD controls, the children with UCP presented higher LF values on both hands and a higher GF on the less affected hand. In children with UCP, the GF to LF adaptation was adequate on the less affected hand but overestimated on the more affected hand. Furthermore, children with UCP presented a lower MVC in the more affected hand, leading to a higher percentage of MVC used during the task. Interpretation. Our findings highlight an anticipatory control of precision grip during a stepping down task in children with UCP that is adequate for the less affected hand but altered for the more affected hand.
Data from: Coalescent and biophysical models of stepping-stone gene flow in Neritid snails
Marine species in the Indo-Pacific have ranges that can span thousands of kilometers, yet studies increasingly suggest that mean larval dispersal distances are less than historically assumed. Gene flow across these ranges must therefore rely to some extent on larval dispersal among intermediate "stepping-stone" populations in combination with long-distance dispersal far beyond the mean of the dispersal kernel. We evaluate the strength of stepping-stone dynamics by employing a spatially explicit biophysical model of larval dispersal in the Tropical Pacific to construct hypotheses for dispersal pathways. We test these hypotheses with coalescent models of gene flow among high-island archipelagos in four Neritid gastropod species. Two of the species live in the marine intertidal, while the other two are amphidromous, living in freshwater but retaining pelagic dispersal. Dispersal pathways predicted by the biophysical model were strongly favored in 16 of 18 tests against alternate hypotheses. In regions where connectivity among high-island archipelagos was predicted as direct, there was no difference in gene flow between marine and amphidromous species. In regions where connectivity was predicted through stepping-stone atolls only accessible to marine species, gene flow estimates between high-island archipelagos were significantly higher in marine species. Moreover, one of the marine species showed a significant pattern of isolation-by-distance consistent with stepping-stone dynamics. While our results support stepping-stone dynamics in Indo-Pacific species, we also see evidence for non-equilibrium processes such as range expansions or rare long-distance dispersal events. This study provides an empirical assessment of a biophysical model that helps to shed light on larval dispersal pathways.
Data from: ClonEstiMate, a Bayesian method for quantifying rates of clonality of populations genotyped at two-time steps
Partial clonality is commonly used in Eukaryotes and has large consequences for their evolution and ecology. Assessing accurately the relative importance of clonal versus sexual reproduction matters for studying and managing such species. Here, we proposed a Bayesian approach, ClonEstiMate, to infer rates of clonality c from populations sampled twice over a short time interval, ideally one generation time. The method relies on the likelihood of the transitions between genotype frequencies of ancestral and descendent populations, using an extended Wright-Fisher model explicitly integrating reproductive modes. Our model provides posterior probability distribution of inferred c, given the assumed rates of mutation, as well as inbreeding and selfing when occurring. Tested under various conditions, this model provided accurate inferences of c, especially when the amount of information was modest, i.e. low sample sizes, few loci, low polymorphism and strong linkage disequilibrium. Inferences remained robust when mutation models and rates were misinformed. However, the method was sensitive to moderate frequencies of null alleles and when the time interval between required samplings exceeding two generations. Misinformed rates on mating modes (inbreeding and selfing) also resulted in biased inferences. Our method was tested on eleven datasets covering five partially clonal species, for which the extent of clonality was formerly deciphered. It delivered highly consistent results with previous information on the biology of those species. ClonEstiMate represents a powerful tool for detecting and inferring clonality in finite populations, genotyped with SNPs or microsatellites. It is freely available at http://https://w">https://w w w 6.rennes.inra.fr / igepp_eng/ Productions/ Software.
Data from: Stepping inside the niche: microclimate data are critical for accurate assessment of species' vulnerability to climate change
To assess a species' vulnerability to climate change, we commonly use mapped environmental data that are coarsely resolved in time and space. Coarsely resolved temperature data are typically inaccurate at predicting temperatures in microhabitats used by an organism and may also exhibit spatial bias in topographically complex areas. One consequence of these inaccuracies is that coarsely resolved layers may predict thermal regimes at a site that exceed species' known thermal limits. In this study, we use statistical downscaling to account for environmental factors and develop high-resolution estimates of daily maximum temperatures for a 36 000 km2 study area over a 38-year period. We then demonstrate that this statistical downscaling provides temperature estimates that consistently place focal species within their fundamental thermal niche, whereas coarsely resolved layers do not. Our results highlight the need for incorporation of fine-scale weather data into species' vulnerability analyses and demonstrate that a statistical downscaling approach can yield biologically relevant estimates of thermal regimes.
Data from: Step-patterned survivorship curves: mortality and loss of equilibrium responses to high temperature and food restriction in juvenile rainbow trout (Oncorhynchus mykiss)
<p>While survivorship curves typically exhibit smooth declines over time, step-patterned curves can occur with multiple stressors within a life stage. To explore this process, we examined the effects of heat (24 ºC) and food restriction on juvenile rainbow trout (<i>Oncorhynchus mykiss</i> Walbaum) in challenge experiments. We observed step-patterned survivorship curves determined by mortality and loss of equilibrium (LOE) endpoints. To examine the cause of heterogeneity in the stress responses from early to late mortality and LOE, we measured indices of energetic reserves. The step transition in the survivorship curves, the peak mortality rates, and start of when individuals reached a critical energetic threshold (14% dry mass; 4.0 kJ·g<sup>-1</sup> energy) all occurred at around days 10-15 of the challenge. The coherence in these temporal patterns suggest heterogeneity in the cohort stress responses, in which an early subgroup died from heat stress and a late subgroup died from starvation. Thus, their endpoint sensitivities resulted in step-patterned survivorship curves. We discuss the implications of the study for understanding effects of multiple stressors on population heterogeneity and note the possible significance of stress response selection under climate change in which heat stress and food limitations occur in concert.</p>
Data from: The extent and meaning of hybridization and introgression between Siberian spruce (Picea obovata) and Norway spruce (Picea abies): cryptic refugia as stepping stones to the west?
Boreal species were repeatedly exposed to ice ages and went through cycles of contraction and expansion while sister species alternated periods of contact and isolation. The resulting genetic structure is consequently complex, and demographic inferences are intrinsically challenging. The range of Norway spruce (Picea abies) and Siberian spruce (Picea obovata) covers most of northern Eurasia; yet their geographical limits and histories remain poorly understood. To delineate the hybrid zone between the two species and reconstruct their joint demographic history, we analysed variation at nuclear SSR and mitochondrial DNA in 102 and 88 populations, respectively. The dynamics of the hybrid zone was analysed with approximate Bayesian computation (ABC) followed by posterior predictive structure plot reconstruction and the presence of barriers across the range tested with estimated effective migration surfaces. To estimate the divergence time between the two species, nuclear sequences from two well-separated populations of each species were analysed with ABC. Two main barriers divide the range of the two species: one corresponds to the hybrid zone between them, and the other separates the southern and northern domains of Norway spruce. The hybrid zone is centred on the Urals, but the genetic impact of Siberian spruce extends further west. The joint distribution of mitochondrial and nuclear variation indicates an introgression of mitochondrial DNA from Norway spruce into Siberian spruce. Overall, our data reveal a demographic history where the two species interacted frequently and where migrants originating from the Urals and the West Siberian Plain recolonized northern Russia and Scandinavia using scattered refugial populations of Norway spruce as stepping stones towards the west.
Data from: Stepping-stone expansion and habitat loss explain a peculiar genetic structure and distribution of a forest insect
It is challenging to unravel the history of organisms with highly scattered populations. Such species may have fragmented distributions because extant populations are remnants of a previously more continuous range, or because the species has narrow habitat requirements in combination with good dispersal capacity (naturally or vector borne). The northern pine processionary moth Thaumetopoea pinivora has a scattered distribution with fragmented populations in two separate regions, northern and south-western Europe. The aims of this study were to explore the glacial and postglacial history of T. pinivora, and add to the understanding of its current distribution and level of contemporary gene flow. We surveyed published records of its occurrence and analysed individuals from a representative subset of populations across the range. A 633 bp long fragment of the mtDNA COI gene was sequenced and nine polymorphic microsatellite loci were genotyped. Only nine nucleotide sites were polymorphic in the COI gene and 90% of the individuals from across its whole range shared the same haplotype. The microsatellite diversity gradually declined towards the north, and unique alleles were found in only three of the northern and three of southern sites. Genetic structuring did not indicate complete isolation among regions, but an increase of genetic isolation by geographic distance. Approximate Bayesian model choice suggested recent divergence during the postglacial period, but glacial refugia remain unidentified. The progressive reduction of suitable habitats is suggested to explain the genetic structure of the populations and we suggest that T. pinivora is a cold-tolerant relict species, with situation-dependent dispersal.
Data from: Incorporating animal spatial memory in step selection functions
Memory is among the most important and neglected forces that shapes animal movement patterns. Research on the movement-memory interface is crucial to understand how animals use spatial learning to navigate across space because memory-biased navigation is directly linked to animals' space use and home range behaviour; however, because memory cannot be measured directly, it is difficult to account for. Here, we incorporated spatial memory into Step Selection Functions (SSF) to understand how resource selection and spatial memory affect space use of feral hogs (Sus scrofa). We used Biased Random Bridge kernel estimates linked to residence time as a surrogate for memory and tested four conceptually different dynamic maps of spatial memory. We applied this memory-based SSF to a data set of hog relocations to evaluate the importance of land cover type, time of day, and spatial memory on the animals' space use. Our approach has shown how the incorporation of spatial memory into animal movement models can improve estimates of habitat selection. Memory-based SSF provided a feasible way to gain insight into how animals use spatial learning to guide their movement decisions. We found that while hogs selected forested areas and water bodies and avoided grasslands during the day (primarily at noon), they had a strong tendency to select previously visited areas, mainly those held in recent memory. Beyond actively updating their memory with recent experiences, hogs were able to discriminate among spatial memories encoded at different circadian phases of their activity. Even though hogs are thought to have long memory retention, they likely relied on recent experiences because the local food resources are quickly depleted and slowly renewed, yielding an uncertain spatial distribution of resources.
Data from: Fire management in the Brazilian Savanna: first steps and the way forward
1. Several decades of frustrated attempts to prevent fires in the Brazilian savanna (Cerrado) have led to deleterious ecological and management consequences. In 2014, the first Integrated Fire Management (IFM) program was launched in three protected areas (PA). 2. The IFM program considers local practices, ecological information, management options, and aims to create landscape mosaics of different fire histories to conserve biodiversity, reduce the prevalence of late-dry season (LDS) wildfires, protect fire-sensitive vegetation, and reduce conflicts between PA managers and local communities. 3. The first three years of imposed fire management regimes led to 40-57% reduction in LDS fires, improved dialogue between researchers, managers and local communities, generating fire management learning communities. 4. Synthesis and applications. This Integrated Fire Management programme represents a major advance in Cerrado management and conservation, by actively managing fires and decreasing the proportional of areas burnt by late-dry season wildfires. It can contribute to protected areas' management in Cerrado and other South American fire-prone ecosystems. Long-term monitoring and research are essential to understand the ecological implications and to improve fire management practices.
Dravidian Column in Step well structure
Telangana, India Source: Objaverse 1.0 / Sketchfab
Old beach steps, Kirkcaldy
Source: Objaverse 1.0 / Sketchfab
Mesa Verde National Park, Step House
Step House was built around 1000 AD and was used until 1250 AD. But the reconstructed pit house was here much earlier Source: Objaverse 1.0 / Sketchfab
FIGURES 28–36 in Revised taxonomy and redescription of two species of the Peripatidae (Onychophora) from Brazil: a step towards consistent terminology of morphological characters
FIGURES 28–36. Comparison of dermal papillae between Macroperipatus torquatus, and Epiperipatus acacioi and E. machadoi. Ink drawings based on scanning electron micrographs. 28–30. Drawings of integument and dermal papillae of M. torquatus based on micrographs provided by Read (1988b). 28. Overview of dorsal integument showing quadrangular dermal papillae. 29. Dorsal primary papilla with quadrangular basal piece. 30. Detail of rudimentary apical piece of dorsal primary papilla. 31–33. Drawings of integument and dermal papillae of E. acacioi based on scanning electron micrographs from present study. 31. Overview of dorsal integument showing dermal papillae with roundish bases. 32. Dorsal primary papilla. 33. Detail of apical piece of primary papilla. Note distinct constriction. 34–36. Drawings of integument and papillae of E. machadoi based on scanning electron micrographs from present study. 34. Overview of dorsal integument showing dermal papillae with roundish bases. 35. Dorsal primary papilla. 36. Detail of apical piece of primary papilla.
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.