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4,563 results for “correlations”
Serial correlation of temporal pain intensities with beta-endorphin and meta-enkephalin concentrations, following Transcutaneous Electrical Nerve Stimulation among patients with chronic low back pain: a randomized controlled trial
<p>This is a dataset for the research that evaluate the responses of plasma beta-endorphin (βE), met-enkephalin (ME) and pain intensity (PI) among patients with chronic low back pain exposed to transcutaneous electrical nerve stimulation (TENS) = Group 1 or sham-TENS = Group 2.</p> <p>The dataset codes: TENS group = 1, Sham-TENS = 2, Sex: male = 1, female = 2, Baseline = before trial, Zero_Hr = immediately after trial, One_Hr = an hour after trial, TwentyFour_Hrs = 24 hrs after trial, FortyEight_Hrs = 48 hrs after trial.</p> <p>Variables labels: group, sex, age, pain duration, systolic blood pressure (SBP), diastolic blood pressure (DBP), resting heart rate (RHR), body temperature (Temp), beta-endorphin (BE), meta-enkephalin (ME), pain intensity (PI) measured with numeric pain scale.</p> <p>To describe time series, codes were combined with variable labels E.g. TwentyFour_Hrs_BE = bete endorphin concentration after 24 hrs of intervention.</p>
Data of correlation of COVID-19 cases/deaths and the Gold price
<p>The data was automatically computed by the tool https://doi.org/10.5281/zenodo.3741812 and shows the correlation between COVID-19 cases/deaths in a given time interval and the gold price in the same interval.</p> <p>The folder input_data contains the raw data that was used to produce this dataset.<br> The file TOOL_VERSION contains the version of the above reference tool that was used.</p>
Data for "Strongly correlated superfluid order parameters from dc Josephson supercurrents"
<p>This dataset contains the experimental data and the code to generate the theoretical models in the paper "Strongly correlated superfluid order parameters from dc Josephson supercurrents".</p> <p>Data tables and scripts to generate the theoretical curves are grouped in folders corresponding to the Figures in the paper.</p>
Data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>Collection of data files used in the paper titled: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation.</p> <p>Additional dataset which covers the noise study CT scans and digital volume correlation noise studies can be found in DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3361832</a></p> <p><strong>Data contains the following:</strong></p> <ul> <li>X-ray CT data for the interrupted direct shear tests of a soil sample containing a Willow plant. The first file is the specimen scanned unloaded, followed by seven incremental shear load steps to 20 mm shear displacement. Files are 8-bit unsigned and 1800x1800x1600px. Voxel resolution is 0.04642 mm. <ol> <li><strong>20180430_HUTCH_1839_DJB_willow_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_A_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_B_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_C_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_D_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_E_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_F_8-bit_1800x1800x1600.raw</strong></li> <li><strong>20180430_HUTCH_1839_DJB_willow_C_Load_G_8-bit_1800x1800x1600.raw</strong></li> </ol> </li> <li>Direct shear vs. displacement data is presented in an Excel spreadsheet: <ul> <li><strong>All_load_data_with_reducing_area.xlsx</strong></li> </ul> </li> <li>Normal and shear strain DVC data which has been averaged and plotted against specimen depth is presented in an Excel spreadsheet: <ul> <li><strong>Average_slice_vs_depth_data_all_samples_all_loads3.xlsx</strong></li> </ul> </li> <li>CT scan metadata giving information to the scan settings, voxel resolution, etc. is contained in a .zip file which consists of .xtekct and .XML files generated from the Nikon CT scanner. <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Drawings and Solidworks CAD files of the direct shear test rig are contained within the .zip file. There are a number of parts to the assembly. The file SSSB1003-5.SLDASM contains the complete assembly of the direct shear rig and will help identify the part names. The folder CAD_Drawings contains pdf documents of the part drawings. <ul> <li><strong>Direct_Shear_Drawings_Solidworks_Files.zip</strong></li> </ul> </li> <li>Tabulated DVC data taken at 32x32x32px subset size is contained inside a .zip file. These consist of tab separated .dat files from unloaded (data_1.dat) through incremental load steps Load A, Load B... Load G, (data_2.dat, data_3.dat... data_8.dat). The structure of the .dat file contains columns of data with each column number corresponding to the following: (1) x, (2) y (3) z, (4) vx, (5) vy, (6) vz, (7) exx, (8) eyy, (9) ezz, (10) exy, (11) exz, (12) eyz, (13) volumetric strain, (14) is valid. Columns 1-3 are subset positions in mm, 4-6 are displacements in mm, 7-9 are normal strains, 10-12 are shear strains, 13 is volumetric strain and 14 is a binary value indicating if the subset is valid. <ul> <li><strong>DVC_Load_Data_Willow_C.zip</strong></li> </ul> </li> <li>Tabulated DVC data applied to the load step CT data at 32, 48, 64, 96, 128 pixels is presented in the .zip files containing .dat tab separated files. The structure of the .dat files is described in the previous bullet point. These files were used to construct the noise study applied to incrementally loaded CT data by sampling regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>DVC_Noise_Study_Data_Load_Steps_Willow_C.zip</strong></li> </ul> </li> <li>Processed noise study data which compares the effects of DVC subset size is presented in the .xlsx file. This file contains both the controlled noise experiment data (stationary, magnification and rigid body motion) and noise study data applied to incrementally loaded data using sampled regions away from the shear zone where the strain signals are close to zero. <ul> <li><strong>Willow_C_Processed_Noise_study2.xlsx</strong></li> </ul> </li> <li>Tabulated data which compares the local x displacement vs depth profile from DVC and direct measurement of root position is contained in the following Excel spreadsheet file: <ul> <li><strong>X_Displacement_Root_and_DVC_Comparison_Willow C.xlsx</strong></li> </ul> </li> </ul>
Fig. 2 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 2. Continued.
Data from: Body size correlates with discrete character morphological proxies
Principal coordinates analysis (PCoA) is a statistical ordination technique commonly applied to morphology-based cladistic matrices to study macroevolutionary patterns, morphospace occupation and disparity. However, PCoA-based morphospaces are dissociated from the original data; therefore, whether such morphospaces accurately reflect body plan disparity or extrinsic factors, such as body size, remains uncertain. We collated nine character-taxon matrices of dinosaurs together with body mass estimates for all taxa and tested for relationships between body size and both the principal ordinated axis of variation (PCo1) and the entire set of PCo scores. The possible effects of body size on macroevolutionary hypotheses derived from ordinated matrices were tested by re-evaluating evidence for the accelerated accumulation of avian-type traits indicated by a strong directional shift in PCo1 scores in hypothetical ancestors of modern birds. Body mass significantly accounted for, on average, approximately 50 and 16 per cent of the phylogenetically corrected variance in PCo1 and all PCo scores, respectively. Along the avian stem lineage, approximately 30 per cent of the morphological variation is attributed to the reconstructed body masses of each ancestor. When the effects of body size are adjusted, the period of accelerated trait accumulation is replaced by a more gradual, additive process. Our results indicate that even at low proportions of variance, body size can noticeably effect macroevolutionary hypotheses generated from ordinated morphospaces. Future studies should thoroughly explore the nature of their character data in association with PCoA-based morphospaces and use a residual/covariate approach to account for potential correlations with body size.
Data from: Dunnock social status correlates with sperm speed, but fast sperm does not always equal high fitness
<p>Sperm competition theory predicts that males should modulate sperm investment according to their social status. Sperm speed, one proxy of sperm quality, also influences the outcome of sperm competition because fast sperm cells may fertilize eggs before slow sperm cells. We evaluated whether the social status of males predicted their sperm speed in a wild population of dunnocks (<em>Prunella modularis</em>). In addition to the traditional analysis of the average speed of sperm cells per sample, we also analyzed subsamples of the fastest sperm cells per sample. In other words, we systematically evaluated the effects of including different numbers of the fastest sperm in our analyses, ranging from the 5-fastest sperm cells to the 100-fastest sperm cells in a sample. We further evaluated whether fitness, defined here as the number of chicks sired per male per breeding season, relates to the sperm speed in the same population. We found that males in monogamous pairings (i.e. low levels of sperm competition), produced the slowest sperm cells whereas subordinate males in polyandrous male-male coalitions, (i.e. high levels of sperm competition), produced the fastest sperm cells. This result was consistent regardless of the number of fastest sperm included in our analyses, but statistical support was conditional on the number of sperm cells included in the analysis. Interestingly, we found no significant relationship between fitness and sperm speed, which suggests that it is possible that the differential mating opportunities across social status leveled out any possible difference. Our study also suggests that it is important to identify biologically meaningful subsets of fastest sperm and cutoffs for inclusions for assessing sperm competition via sperm speed</p>
Environmental correlates of reptile variation on the Houtman Abrolhos archipelago, eastern Indian Ocean
Aim: To examine the relationships between island environmental attributes, both biotic and abiotic, and three measures of reptilian variation – species assemblage, species richness, and body size distributions. Location: Houtman Abrolhos archipelago, Western Australia. Taxon: Reptiles. Methods: Nineteen islands were sampled from 2002 - 2012 using foraging and trapping. Body size (snout-vent length) was measured on first capture. Island size varied from 0.3 - 587 ha, encompassing the three geomorphic island types, the three bathymetric groups, and a range of other environmental attributes. Results: From about 1500 captures, 24 reptile species were recorded, including three previously undocumented on the archipelago, and 55 records of species not previously recorded on specific islands. Four significantly different reptile assemblage groups were identified. These were highly correlated with geomorphological composition - two groups encompassing the three large aeolianite islands; another the high rock islands and the largest composite island; and a fourth consisting of the remaining composite islands with one very small high rock island. Both assemblage and richness on islands were significantly correlated with island area, geomorphology and native plant species richness. Of the 13 species captured frequently, eleven showed statistically significant inter-island variation in body size, and two exhibited sexual dimorphism. In three species, size was also correlated with environmental attributes, including reptile species richness, native plant richness, geomorphology and island area. Six of the eleven species captured on the two largest islands (both aeolianite) differed in size on these adjacent islands. Main Conclusions: High inter-island variation in body size and assemblage composition suggest strong differential selection since the most recent isolation event at 6,500 bp. Anthropogenic disturbances over the last 150 years have resulted in several island extinctions. Species assemblage and richness are strongly associated with environmental attributes. Inter-island body size variation in three species revealed idiosyncratic responses to environmental pressures. Results provide guidance for effective conservation and management strategies, and evidence for the extinction debts inherent in more recently fragmented mainland habitats.
Data from: Gene expression correlates of social evolution in coral reef butterflyfishes
<p>Animals display remarkable variation in social behavior. However, outside of rodents, little is known about the neural mechanisms of social variation, and whether they are shared across species and sexes, limiting our understanding of how sociality evolves. Using coral reef butterflyfishes, we examined gene expression correlates of social variation (i.e., pair bonding vs. solitary living) within and between species and sexes. In several brain regions, we quantified gene expression of receptors important for social variation in mammals: oxytocin (<i>OTR</i>), arginine vasopressin (<i>V1aR</i>), dopamine (<i>D1R, D2R</i>), and mu-opioid (<i>MOR</i>). We found that social variation across individuals of the oval butterflyfish, <i>Chaetodon lunulatus,</i> is linked to differences in <i>OTR</i>,<i>V1aR, D1R, D2R, </i>and <i>MOR</i> gene expression within several forebrain regions in a sexually dimorphic manner. However, this contrasted with social variation among six species representing a single evolutionary transition from pair bonded to solitary living. Here, <i>OTR </i>expression within the supracommissural part of the ventral telencephalon was higher in pair bonded than solitary species, specifically in males. These results contribute to the emerging idea that nonapeptide, dopamine, and opioid signaling is a central theme to the evolution of sociality across individuals, although the precise mechanism may be flexible across sexes and species.</p>
Data from: Ictal quantitative surface electromyography correlates with postictal EEG suppression
Objective: To test the hypothesis that neurophysiological biomarkers of muscle activation during convulsive seizures reveal seizure severity, and to determine whether automatically computed surface electromyography (EMG) parameters during seizures can predict postictal generalized EEG suppression (PGES) indicating increased risk for sudden unexpected death in epilepsy (SUDEP). Wearable EMG devices have been clinically validated for automated detection of generalized tonic-clonic seizures (GTCS). Our goal was to use automated EMG measurements for seizure-characterization and risk-assessment. Methods: Quantitative parameters were automatically computed from surface EMG recorded during convulsive seizures, from deltoid and brachial biceps muscles, in patients admitted to long-term video-EEG monitoring. Parameters evaluated were: the durations of the seizure phases (tonic, clonic), durations of the clonic bursts and silent periods, as well as the dynamics of their evolution (slope). We compared them with the duration of the PGES. Results: We found significant correlations between automatically computed EMG parameters and the duration of PGES (p<0.001). Stepwise multiple regression analysis identified as independent predictors, in deltoid muscle the duration of the clonic phase, and in biceps muscle the duration of the tonic-clonic phases, the average silent period, and the slopes of the silent period and clonic bursts. An algorithm constructed from these parameters identified seizures at increased risk (PGES ≥20s) with an accuracy of 87%. Conclusions: Automatically computed ictal EMG parameters correlate with PGES and may identify seizures at high risk. Classification of Evidence: This study provides Class II evidence that quantitative ictal EMG parameters are biomarkers for high-risk convulsive seizures.
Phylogenetic and ecological correlates of pollen morphological diversity in a neotropical rainforest
Morphology varies enormously across clades, and the morphology of a trait may reflect ecological function or the retention of ancestral features. We examine the tension between ecological and phylogenetic correlates of morphological diversity through a case study of pollen grains produced by angiosperms in Barro Colorado Island, Panama (BCI). Using a molecular phylogeny of 730 taxa we demonstrate a statistically significant association between morphological and genetic distance for these plants. However, the relationship is non-linear, and while close relatives share more morphological features than distant relatives, above a genetic distance of ~0.7 increasingly distant relatives are not more divergent in phenotype. The pollen grains of biotically pollinated and abiotically pollinated plants overlap in morphological space, but certain pollen morphotypes and individual morphological traits are unique to these pollination ecologies. Our data show that the pollen grains of biotically pollinated plants are significantly more morphologically diverse than those of abiotically pollinated plants.
Supporting data to 'Correlations between sea-level components are driven by regional climate change'
<p>Dataset supporting the initial submission of the manuscript 'Correlations between sea-level components are driven by regional climate change'</p>
Vertebral pneumaticity is correlated with serial variation in vertebral shape in storks
<p class="Body"><span><span><span><span><span><span><span><span><span><span>Birds and their ornithodiran ancestors are unique among vertebrates in exhibiting air-filled sinuses in their postcranial bones, a phenomenon called postcranial skeletal pneumaticity. The factors that account for serial and interspecific variation in postcranial skeletal pneumaticity are poorly understood, although body size, ecology, and bone biomechanics have all been implicated as influencing the extent to which pneumatizing epithelia invade the skeleton and induce bone resorption. Here, I use high-resolution computed-tomography to holistically quantify vertebral pneumaticity in members of the neognath family Ciconiidae (storks), with pneumaticity measured as the relative volume of internal air space. These data are used to describe serial variation in extent of pneumaticity and to assess whether and how pneumaticity varies with the size and shape of a vertebra. Pneumaticity increases dramatically from the middle of the neck onwards, contrary to previous predictions that cervical pneumaticity should decrease towards the thorax to maintain structural integrity as the mass and bending moments of the neck increase. Although the largest vertebrae sampled are also the most pneumatic, vertebral size cannot on its own account for serial or interspecific variation in extent of pneumaticity. Vertebral shape, as quantified by three-dimensional geometric morphometrics, is found to be significantly correlated with extent of pneumaticity, with elongate vertebrae being less pneumatic than craniocaudally short and dorsoventrally tall vertebrae. Considered together, the results of this study are consistent with the hypothesis that shape- and position-specific biomechanics influence the amount of bone loss that can be safely tolerated. These results have potentially important implications for the evolution of vertebral morphology in birds and their extinct relatives.</span></span></span></span></span></span></span></span></span></span></p>
Data From: Evaluating the correlation between genome-wide diversity and the release of plastic phenotypic variation in experimental translocations to novel natural environments
<p>Phenotypic reaction norms are often shaped and constrained by selection and are important for allowing organisms to respond to environmental change. However, selection cannot constrain reaction norms for environmental conditions that populations have not experienced. This may allow cryptic neutral genetic variation for the reaction norm to accumulate such that a release of phenotypic variation occurs when it is exposed to novel conditions. Most genomic diversity behaves as if functionally neutral. Genome-wide diversity metrics may therefore correlate with levels of cryptic genetic variation and, as a result, could exhibit a positive relationship with a release of phenotypic variation in novel environments. To test this hypothesis, we conducted translocations of juvenile brook trout (Salvelinus fontinalis) from 12 populations to novel uninhabited ponds that represented a gradient of environmental conditions. We assessed reaction norms for morphological traits (body size and four morphometric relative warps) across pond environmental gradients and evaluated the effect of genome-wide heterozygosity on phenotypic variability. All traits displayed plastic reaction norms. Overall, we found some evidence that a release of phenotypic variation consistent with cryptic genetic variation can occur in novel environmental conditions. However, the extent to which this release was correlated with average genome-wide diversity was limited to only one of five morphological traits examined. Our results suggest that the link between genomic diversity and the accumulation of cryptic genetic variation in reaction norms may be limited. Similarly, reaction norms were constrained for many of the morphological traits examined. Past conditions may have constrained reaction norms in the putatively novel environments despite significant deviations from contemporary source population habitat. Additionally, as a generalist colonizing species brook trout may exhibit plastic phenotypes across a wide range of environmental conditions.</p>
Data from: Heterozigosity-fitness correlations in a continental island population of Thorn-tailed Rayadito
<p>Heterozygosity-fitness correlations (HFCs) have been used to monitor the effects of inbreeding in threatened populations. HFCs can also be useful to investigate the potential effects of inbreeding in isolated relict populations of long-term persistence, and to better understand the role of inbreeding and outbreeding as drivers of changes in genetic diversity. We studied a continental island population of thorn-tailed rayadito (<i>Aphrastura spinicauda</i>) inhabiting the relict forest of Fray Jorge National Park, north-central Chile. This population has experienced a long-term, gradual process of isolation since the end of the Tertiary. Using 10 years of field data in combination with molecular techniques, we tested for HFCs to assess the importance of inbreeding depression. If inbreeding depression is important, we predict a positive relationship between individual heterozygosity and fitness-related traits. We genotyped 183 individuals at 12 polymorphic microsatellite loci, and used seven measures of reproductive success and estimates of apparent survival to calculate HFCs. We found weak to moderate statistical support (<i>P</i>-values between 0.05 and 0.01) for a linear effect of female multi-locus heterozygosity (MLH) on clutch size, and non-linear effects on laying date and fledging success. While more heterozygous females laid smaller clutches, non-linear effects indicated that females with intermediate values of MLH started laying earlier and had higher fledging success. We found no evidence for effects of MLH on annual fecundity or on apparent survival. Our results along with the long-term demographic stability of the study population contradict the hypothesis that inbreeding depression occurs in this population.</p>
Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations
<p>Preprocessed data and analysis-scripts needed to reproduce the figures and statistics of the paper "Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations".</p>
Data in the analysis of Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective
<p>This data is used in the analysis related to the article Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective. The data contain Crude Oil Prices, Exchange Rates, and Dummy variables coded 1 for the era before the Covid-19 outbreak and 0 for the era of Covid-19.</p> <p> </p>
The cognitive and perceptual correlates of ideological attitudes: a data-driven approach
<p>Data and analysis scripts for: </p> <p>Zmigrod L, Eisenberg IW, Bissett PG, Robbins TW, Poldrack RA. 2021 The cognitive and perceptual correlates of ideological attitudes: a data-driven approach. Phil. Trans. R. Soc. B 20200424. https://doi.org/10.1098/rstb.2020.0424</p>
Data from: Seedling recruitment correlates with seed input across seed sizes: implications for coexistence
Understanding controls on recruitment is critical to predicting community assembly, diversity and coexistence. Theory posits that at mean fecundity, recruitment of highly fecund small-seeded plants should be primarily microsite limited, which is indicated by a saturating recruitment function. In contrast, species that produce fewer large seeds are more likely to be seed-limited, which is characterized by a linear recruitment function. If these patterns hold in nature, seed predation that disproportionately affects larger-seeded species can limit their establishment. We tested these predictions by comparing recruitment functions among 16 co-occurring perennial forb species that vary by over two orders of magnitude in seed size. We also assessed how post-dispersal seed predation by mice influenced recruitment. We added seeds at densities from zero to three times natural fecundity of each species to undisturbed plots and examined spatial variation in recruitment by conducting experiments across ten grassland sites that varied in productivity and resource availability. Consistent across two replicated years, most species had linear recruitment functions across the range of added seed densities, indicative of seed-limited recruitment. Depending on year, the recruitment functions of only 19-37% of target species saturated near their average fecundity, and this was not associated with seed size. Recruitment was strongly inhibited by rodent seed predation for large-seeded species but not for smaller-seeded species. Proportional recruitment was more sensitive to spatial variation in recruitment conditions across sites for some small-seeded species than for large-seeded species. These results contradict the common belief that highly fecund small-seeded species suffer from microsite-limited recruitment. Rather, they imply that, at least episodically, recruitment can be strongly correlated to plant fecundity. However, proportional recruitment of small-seeded species was inhibited at productive sites to a greater extent than large-seeded species. Results also show that in a system where the dominant granivore prefers larger seeds, low-fecundity large-seeded species can suffer from even greater seed-limited recruitment than would occur in the absence of predators.
The correlates of intraspecific variation in nest height and nest building duration in the Eurasian blue tit Cyanistes caeruleus
<p>Birds build nests primarily as a receptacle to lay their eggs in, but they can also provide secondary benefits including structural support, camouflage, and adjustment of the microclimate surrounding the eggs and offspring. The factors underlying intraspecific variation in nest characteristics are poorly understood. In this study, we aim to identify the environmental factors that predict nest height variation and the duration of nest building in blue tits (<em>Cyanistes caeruleus</em>), evaluating latitude, elevation, temperature, and the timing of egg-laying as predictors of nest height, while also taking into account female and male parental identity. Using 713 nest height observations collected over a period of five years along a 220km transect in Scotland, we found that if the annual mean timing of egg-laying was earlier, nests were taller. However, there was no correlation between nest height and elevation, latitude, the minimum temperature in the 14 days pre-egg-laying or the phenology of birds within a year. Female parental identity accounted for a large amount of variation in nest height, suggesting that individual behaviour has an influence on nest structure. We also found that nest building duration was shorter in years when egg laying occurred earlier in the year, and that across all observations taller nests took longer to build. Overall, our results show that blue tits are able to alter their nest characteristics based on conditions environmental gradients like latitude (in the case of building duration) and the annual mean phenological variation timing of egg laying, and that birds build relatively taller nests faster.</p>
ScienceDex guides
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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.