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.
7,742
datasets available to search
ShareScore release 0.9.0
Dataset results
7,742 results for “individuals”
FIGURE 2. Thalictrum austrotibeticum J. Y. Li, L. Xie & L. Q. Li. a. A blooming individual. b & e in A new species of Thalictrum (Ranunculaceae) from southern Tibet (Xizang), China
FIGURE 2. Thalictrum austrotibeticum J. Y. Li, L. Xie & L. Q. Li. a. A blooming individual. b & e. Upper and lower leaves showing color and morphology variation. c. Inflorescence. d. Mature flower and fruits showing purple filaments and compressed fruits. (Photos from Gyirong and Nyalam populations by J. Y. Li, L. Xie, and X. T. Ma)
FIGURE 1. Sonerila bokorense. A. Flowering individual. B. Fruiting individual. C. Developing flower. D. Mature flower. E. Stamen. F. Stigma and style. G in Sonerila bokorense (Melastomataceae), a new species from Cambodia
FIGURE 1. Sonerila bokorense. A. Flowering individual. B. Fruiting individual. C. Developing flower. D. Mature flower. E. Stamen. F. Stigma and style. G. Abaxial surface of petal. H. Adaxial surface of petal. I. Leaf (adaxial surface) and setae in box. J–K. Immature fruit. L–M. Mature fruit. N. Stem. O. Seeds.
FIGURES 45–51. Achnanthes trachyderma. Individuals from Society Archipelago, SEM. 45 in Achnanthes citronella, A. trachyderma comb. nov. (Bacillariophyta) and allied taxa pertaining to the same morphological group
FIGURES 45–51. Achnanthes trachyderma. Individuals from Society Archipelago, SEM. 45. SV external side, with narrow sternum. 46. Apices with areolae (arrowhead). 47. Valvocopulae system lacking fimbriae (arrowhead). 48. SV internal side, with open SVVC (arrow) and no fimbriae (arrowheads). 50. Internal SV areolae pattern and no areolae on apices. 49. Detail of the cingulum composed of the two valvocopulae (SVVC and RVVC) and a supplementary copula (C). 51. Detail of the internal structure of the SV areolae. Scale bars = 5 μm (Figs 45–48, 50); 1 μm (Figs 49, 51).
FIGURES 25–32. 25, 26. Achnanthes citronella. Individuals from type slide 43609 in Achnanthes citronella, A. trachyderma comb. nov. (Bacillariophyta) and allied taxa pertaining to the same morphological group
FIGURES 25–32. 25, 26. Achnanthes citronella. Individuals from type slide 43609, labelled as 'Jolo Jolo, Sulu, Philippine Islands, 3-17' (see Fig. 34), A. Mann's collection, housed in US. Lemon-shaped SV with an elliptic SV sternum (Fig. 25, arrowhead) and rectangular areolae without axial arrangement, RV finely striated, detached open valvocopula without fimbriae (Fig. 26, arrow) and a short butterflyshaped stauros. 27–32. Achnanthes trachyderma. 27–29. Individuals from Meister's slides collection, housed in Z. Frustule from slide 3409001 showing a large RV stauros and fine RV striae (Fig. 27), and SV coarse striation (Fig. 28). 29. Illustration of the lectotype. A RV from slide 309008, with a fine striation and a narrow extended stauros. 30–32. Achnanthes trachyderma. Individuals from Society Archipelago, South Pacific, with relatively large stauros (Fig. 30, arrowheads), SV striae parallel, only slightly radiate at the apices, narrow sternum (Fig. 31). 32. RV with fine striae and large and thin stauros. Scale bars = 10 μm.
FIGURES 52–57. Achnanthes trachyderma. Individuals from Society Archipelago, SEM. 52 in Achnanthes citronella, A. trachyderma comb. nov. (Bacillariophyta) and allied taxa pertaining to the same morphological group
FIGURES 52–57. Achnanthes trachyderma. Individuals from Society Archipelago, SEM. 52. RV external side with laciniate stauros reaching almost the margin. 53. RV internal side with the stauros marginally delineated by very short striae (arrow), low helictoglossa (arrowhead). 54. RV external side with large stauros (arrowheads). 55. Detail of the central area in internal side, with areola domed hymenes (arrowhead). 56. RV apex with strongly bent striae with a marginal row of larger areolae. 57. Terminal raphe fissure continuing on the mantle. Scale bars = 5 μm (Figs 52–54); 1 μm (Figs 55–57).
FIGURE 2. Paepalanthus multistellaris. A. Habitat. B. Habitat detail. C. Flowering individuals. D. Inflorescence detail. E in A field full of green stars: Paepalanthus multistellaris (Eriocaulaceae), a new species from Minas Gerais, Brazil
FIGURE 2. Paepalanthus multistellaris. A. Habitat. B. Habitat detail. C. Flowering individuals. D. Inflorescence detail. E. Side view of the capitula. F. Capitula seen from above. (Photos A, B, D: E. Gomes; C, E, F: C.O. Andrino).
Comparing the mechanical energetics of walking among individuals with unilateral transfemoral limb loss using socket and osseointegrated prosthetic interfaces
<p>Biomechanical data (kinematics, kinetics) collected during overground walking from 8 individuals with unilateral transfemoral amputation both pre- and 24-months post-femoral osseointegration.</p>
FIGURE 4. Gastrodia crispa. A, flowering individual. B, inflorescence. C in Gastrodia bambu (Orchidaceae: Epidendroideae), A New Species from Java, Indonesia
FIGURE 4. Gastrodia crispa. A, flowering individual. B, inflorescence. C, flower (front view). D, longitudinal section through flower showing lip and column. (Photographs by Destario Metusala).
FIGURE 2. Gastrodia bambu. A, flowering individual from Mount Gede Pangrango. B in Gastrodia bambu (Orchidaceae: Epidendroideae), A New Species from Java, Indonesia
FIGURE 2. Gastrodia bambu. A, flowering individual from Mount Gede Pangrango. B, lip (upper view) C, capsule. (Photographs by Reza Saputra).
FIGURE 2. Ottelia guanyangensis. A. Plant habitat. B. Plant habit and flowering plant. C. Bisexual flower with red brown sepal. D. flower individual. E in Ottelia guanyangensis (Hydrocharitaceae), a new species from southwestern China
FIGURE 2. Ottelia guanyangensis. A. Plant habitat. B. Plant habit and flowering plant. C. Bisexual flower with red brown sepal. D. flower individual. E. Fruit: Hexagonal-cylindric with wings. F. Leaf: Triplinerved with obvious cross veins. G. Character of pollens by SEM.
FIGURE 15. Drouetiella fasciculata. A. Fasiculated filaments with individual sheath. B in Revision of the Synechococcales (Cyanobacteria) through recognition of four families including Oculatellaceae fam. nov. and Trichocoleaceae fam. nov. and six new genera containing 14 species
FIGURE 15. Drouetiella fasciculata. A. Fasiculated filaments with individual sheath. B. Mature trichomes with one to two large central granules. B–C. Different coiling patterns of filaments. D. Hormogonia. E–G. Cells barrel-shaped, not constricted and separated by somewhat translucent cross-walls. Scale bar 10μm in 400X (A) and 1000X magnification (B–J).
FIGURE 11. Eight individuals within a in Taxonomic studies on the genus Delphinium (Ranunculaceae) from China (XVII): Five new synonyms of D. afghanicum, a newly recorded species for China
FIGURE 11. Eight individuals within a population of Delphinium afghanicum (China, Xinjiang, Akto, Muji town, the type locality of D. zhangii), showing the variation in stem height and flower number.
FIGURE 8. Ten individuals within a in Taxonomic studies on the genus Delphinium (Ranunculaceae) from China (XVI): Three new synonyms of D. lacostei
FIGURE 8. Ten individuals within a population of Delphinium lacostei (CHINA. Xinjiang: Taxkorgan, Mintaka Pass, the type locality of D. tetragynum), showing the variation in plant size and flower number.
Usability, Acceptability, User Experience, Human-Device Interaction, and Ergonomics in Two Mobile FES-Cycling Systems for Individuals with Spinal Cord Injury
<p>This database originates from a study comparing two FES-cycling systems: the <strong>commercial BerkelBike Pro</strong> and a <strong>recumbent FES-bike prototype</strong> developed by the team at Politecnico di Milano. The aim of the study was to evaluate and compare the <strong>usability</strong>, <strong>acceptability</strong>, <strong>user experience</strong>, <strong>human-device interaction</strong>, and <strong>ergonomics</strong> of these two devices for individuals with spinal cord injury (SCI).</p> <p>The study involved 15 participants with SCI, covering a wide range of ages (18 to 65 years) and injury types (both complete and incomplete, at acute and chronic phases). Each participant underwent three sessions with both FES-cycling devices:</p> <ul> <li><strong>First session</strong>: Dedicated to setting up the system for each participant. For both the BerkelBike Pro and the FES-bike prototype, the system settings were tailored to meet individual needs, ensuring optimal comfort and function.</li> <li><strong>Second and third sessions</strong>: Focused on actual training, where participants used the devices to engage in cycling activities.</li> </ul> <p>At the end of the <strong>third session</strong>, participants completed a series of questionnaires to assess the usability, acceptability, user experience, and ergonomics of both devices. These questionnaires form the core of the study’s data collection and are central to understanding participants' interactions with the FES-cycling systems.</p> <p>The database is organized as follows:</p> <ol> <li><strong>Demographic data</strong>: The first page contains demographic information, including participants' age, gender, height, weight, time after injury, injury type (ASIA grade), and injury level.</li> <li><strong>PGWBI scores</strong>: The second page includes baseline data collected using the <strong>Psychological General Well-Being Index (PGWBI)</strong>, which assesses the participants' emotional and psychological state before engaging with the devices. The PGWBI consists of 22 questions grouped into 6 items: "anxiety", "depression", "positivity", "self-control", "health" and "vitality”. The responses are assessed on a 6-point scale ranging from 0 to 5. The score contributions for each question are then added together and transformed to achieve the final score that can range from 0 to 110.</li> <li><strong>SUS scores</strong>: The third page contains the results from the <strong>System Usability Scale (SUS)</strong>, a standard 10-item questionnaire that evaluates the usability of each FES-cycling system based on user ratings. The SUS is evaluated using a 5-point Likert scale, where 1 corresponds to strongly disagree, while 5 to strongly agree. The score contributions for each question are then added together and multiplied by 2.5 to achieve the final score that can range from 0 to 100, where higher scores indicate better usability.</li> <li><strong>TAM-3 scores</strong>: The fourth page presents data from the <strong>Technology Acceptance Model 3 (TAM-3)</strong>, which measures how participants perceive the ease of use and the usefulness of the devices. . The TAM-3 consists of 50 questions grouped into 14 items. These items include “perceived usefulness”, “perceived ease of use”, “self-efficacy”, “perception of external control”, “playfulness”, “anxiety”, “enjoyment”, “subjective norm”, “voluntariness”, “image”, “relevance”, “output quality”, “result demonstrability” and “behavioral intention”. The items are investigated using a 7-point Likert scale, where 1 corresponds to strongly disagree, while 7 to strongly agree.</li> <li><strong>UEQ scores</strong>: The fifth page includes responses from the <strong>User Experience Questionnaire (UEQ)</strong>, evaluating participants' experience with the devices. The UEQ consists of 26 questions grouped in six items: “attractiveness”, “perspicuity”, “efficiency”, “dependability”, “stimulation” and “novelty”. Questions are scored using a 7-point Likert scale, where 1 corresponds to strongly disagree, while 7 to strongly agree. Then scores per item are transformed using a scale ranging from -3 to +3, with +3 representing the most positive value (extremely good) and -3 the most negative one (horribly bad). Values between -0.8 and 0.8 represent a neutral evaluation of the corresponding scale, values > 0.8 represent a positive evaluation and values < -0.8 represent a negative one.</li> <li><strong>Custom questionnaire scores</strong>: The sixth page contains data from a <strong>custom-designed questionnaire</strong>, created specifically for this study to assess the ergonomics of the two FES-cycling systems, with particular attention to human-device interaction at both the physical and psychological levels. It consists of 12 questions covering four items: the transfer from/to the bikes and the initial tuning, bike comfort, its accessibility, and the ease of interaction. Questions are evaluated using a 5-point Likert scale, where 1 corresponds to strongly disagree/very uncomfortable, while 5 to strongly agree/very comfortable.</li> </ol> <p>This comprehensive data collection allows for a thorough comparison of the two FES-cycling systems in terms of user experience and overall acceptability in the SCI population.</p> <p>Please cite the following manuscript when using this database:<br>Nossa R, Biffi E, Sanna N, Diella E, Guanziroli E, Ferrari F, Ferrante S, Molteni F, Pedrocchi A, Tarabini M, Ambrosini E. Assessment of User Experience, Acceptability, Usability, Human-Device Interaction, and Ergonomics in Two Mobile FES-Cycling Systems for Individuals With Spinal Cord Injury. Artif Organs. 2025 Apr 16. doi: 10.1111/aor.15007. Epub ahead of print. PMID: 40237144.</p>
Paired X-ray Micro CT Scanning and individual foraminifera isotopic analysis reveal (de)coupled changes in carbonate preservation and temperature
<p>To assess the coupling between drivers of isotopic variability and carbonate dissolution in foraminifera, we combine individual foraminiferal carbon and oxygen isotopic analyses (IFA) and X-ray MicroCT Scanning (XMCT)-based measurements of test densities (a proxy for the extent of post-depositional dissolution). As a proof-of-concept application of this approach, we analyze Globigerina bulloides tests from both coretop and downcore (latest Miocene/earliest Pliocene-aged) sediment from Ocean Drilling Project (ODP) Site 1088 (Agulhas Ridge).<br>Sediments from both the core intervals were wet-sieved over a 150 μm sieve and oven-dried at 55°C overnight. Individual tests of G. bulloides were picked from the >150 μm size fraction and gently brushed with the wet tip of a paintbrush to remove any adhering clay. Broken or partially fragmented tests were avoided. 25-50 individuals were mounted on a 1.2cm x 1 cm cardboard sample holder using double-sided carbon and imaged at a time on a Bruker Skyscan 1272 Micro-CT Scanner. In total, 123 individuals from the coretop sample and 88 individuals from the downcore sample were scanned.<br>Stable carbon (δ¹³C) and oxygen (δ¹⁸O) isotopic compositions of individual foraminifera were measured using a Kiel Carbonate Device IV coupled to a Thermo Fisher MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS). All individuals were weighed on a Sartorius ultramicrobalance before analysis, and only samples with mass >10 µg were analyzed as per the long-term precision setup of analyzing small quantities of carbonates on this machine. The XMCT-IFA dataset in this study consists of δ¹³C and δ¹⁸O values of 90 foraminifera (67 coretop and 23 downcore individuals). We compare population averages of XMCT parameters and isotopic compositions from both the coretop and downcore sediments.</p>
Data and Scripts for "Timing matters in Macrophage / CD4+ T cell interactions: An agent-based model comparing Mycobacterium tuberculosis host-pathogen interactions between latently infected and naïve individuals"
<p>This contains the data and graphing scripts necessary to recreate all figures in the paper "Timing matters in Macrophage / CD4+ T cell interactions: An agent-based model comparing Mycobacterium tuberculosis host-pathogen interactions between latently infected and naïve individuals". Supplemental Material for the paper is also provided here. Please refer to the README.md for instructions on how to use. The model can be found at: https://github.itap.purdue.edu/ElsjePienaarGroup/LTBINaiveinvitroModel/ along with the uncalibrated parameter files and scripts to run on HPCs.</p>
Co-GWAS unveils the genetic architecture of inter-individual epistasis affecting biomass and disease severity in wheat binary mixtures
<p>The repository contains all the data and scripts required to perform the analysis and generate the figures and tables presented in the article: <br>"Co-GWAS unveils the genetic architecture of inter-individual epistasis affecting biomass and disease severity in wheat binary mixtures".</p> <p>0. DATA</p> <p>FOLDER: 0_Data<br>This folder contains the raw phenotypic and genotypic data.</p> <p>I. FILE PREPARATION</p> <p>FOLDER: 1_FilePrep_Design_Fig<br>The R script prepares the phenotypic and genotypic data for analysis and generates the kinship matrix. It also creates a figure illustrating the pairs of phenotyped genotypes.</p> <p>II. PHENOTYPIC ANALYSIS </p> <p>FOLDER: 2_GeneticEffects_PhenoCorr_Residus<br>The R script tests the significance of genetic effects, calculates the proportion of phenotypic variance explained for each phenotype, and checks for correlations between phenotypes. It also controls the residuals in the models.</p> <p>III. A. DGE-BASED GWAS</p> <p>FOLDER: 3_DGE_GWAS<br>This folder contains three subfolders for each phenotype (GWAS_DGE_B, GWAS_DGE_N, GWAS_DGE_P).<br>For example, the pycnidia folder contains the script 3.A_GWAS_DGE_P_AsREML_cluster.R, which performs DGE-based GWAS for the pycnidia phenotype.</p> <p>III. B. Analysis of GWAS Results for DGE</p> <p>FOLDER: 3_DGE_GWAS<br>Within the same folder, the script 3.B_Results_GWAS_DGE_P.Rmd combines the result files and produces Manhattan plots and plots of significant SNPs.</p> <p>IV. A. IGE-BASED GWAS</p> <p>FOLDER: 4_IGE_GWAS<br>This folder contains three subfolders for each phenotype (GWAS_IGE_B, GWAS_IGE_N, GWAS_IGE_P).<br>For example, the pycnidia folder contains the script 4.A_GWAS_IGE_P_AsREML_cluster.R, which performs IGE-based GWAS for the pycnidia phenotype.</p> <p>IV. B. Analysis of GWAS Results for IGE</p> <p>FOLDER: 4_IGE_GWAS<br>Within the same folder, the script 4.B_Results_GWAS_IGE_P.Rmd combines the result files and produces Manhattan plots and plots of significant SNPs.</p> <p>V. PREPARATION OF FILES FOR CO-GWAS</p> <p>FOLDER: 5_FilePrep_coGWAS<br>The script 5.A_FilePrep_coGWAS.Rmd prepares the phenotypic and genotypic data for analysis after SNP pruning.<br>The script 5.B_FilePrep_SNP_Pruning.R performs SNP pruning.<br>The script 5.C_Plot_SNP_Pruning_position.R plots the positions of SNPs before and after pruning.</p> <p>VI. CO-GWAS</p> <p>FOLDER: 6_coGWAS<br>This folder contains three subfolders for each phenotype (coGWAS_B, coGWAS_N, and coGWAS_P). <br>For example, the pycnidia folder contains the script 6.A_coGWAS_DGEIGE_P_Sommer_cluster.R, which performs the co-GWAS for the pycnidia phenotype.<br>The other scripts in this folder combine the result files.</p> <p>VII. HEATMAPS AND QQPLOT OF CO-GWAS RESULTS</p> <p>FOLDER: 7_Heatmaps_qqplots_coGWAS<br>This folder contains three subfolders for each phenotype (Heatmaps_qqplots_B, Heatmaps_qqplots_N, and Heatmaps_qqplots_P).<br>For example, the pycnidia subfolder includes two scripts: 7.A_coGWAS_P_Heatmaps.R generates heatmaps for the pycnidia phenotype and 7.B_coGWAS_P_qqplots.R produces the QQ plot.</p> <p>VIII. BOXPLOTS - 3D PLOTS - PHYSICAL MAPS</p> <p>FOLDER: 8_3Dplots_PhysicalMaps_Boxplots_coGWAS<br>This folder contains three subfolders for each phenotype (Boxplots_PhysicalMaps_3Dplots_B, Boxplots_PhysicalMaps_3Dplots_N, and Boxplots_PhysicalMaps_3Dplots_P).<br>For example, the pycnidia folder contains the script 8_coGWAS_P_Boxplots_PhysicalMaps_3Dplots.R, which generates 3D plots, boxplots and physical maps for the significant interactions. </p> <p>IX. CIRCULAR PLOTS </p> <p>FOLDER: 9_CircularPlots_coGWAS<br>This folder contains three subfolders for each phenotype (CircularPlots_B, CircularPlots_N, and CircularPlots_P).<br>For example, the pycnidia folder contains the script 9_coGWAS_P_CircularPlot.R, which generates the necessary files to create the circular plot. <br>The script circos.conf creates the circular plot. </p> <p>X. GO ENRICHMENT ANALYSIS </p> <p>FOLDER: 10_GOterms_coGWAS<br>This folder contains three subfolders for each phenotype (GOenrichments_B, GOenrichments_N, and GOenrichments_P).<br>For example, the pycnidia folder contains the script 10_coGWAS_P_GOenrichments.Rmd, which generates GO enrichment plots.</p>
A Sensory Neuroprosthesis Enhances Recovery from Treadmill-Induced Stumbles for Individuals with Lower Limb Loss
<p>Dataset of treadmill-induced stumble recovery for three participants with lower limb loss who received a sensory neuroprosthesis that restores plantar somatosensory feedback corresponding to prosthesis foot-foor interactions. </p> <ul> <li><strong>Results.zip</strong> contains the metrics calculated for analysis of stumble recovery, which includes: trunk angular sway, peak trunk flexion angular velocity, and peak ground reaction force magntidues. </li> <li><strong>Raw.zip</strong> contains raw data collected during the experiments. <ul> <li>LLX - Data for a particular participant <ul> <li>SessionX - Data collected during a single session of the experiment, with each session being one day. <ul> <li>DFlow - Contains treadmill speed data. </li> <li>Visual3D - Contains biomechanical and force plate data. <ul> <li>StaticX - Data collected during a static trial where the participant is standing in a T-pose. This data was used to calculate body weight during each session. Data on which blocks correspond to which static trials can be found in LLX_ProcessData.m This has the same directory structure as TrialX. </li> <li>TrialX - Data collected during one block of walking with multiple perturbations. Data on which blocks had the SNP active or inactive can be found in the <code>FILE_DATA</code> variable in LLX_Analysis.m files in Code.zip. <ul> <li>Analog - Contains force plate data collected from the instrumented treadmill, which was used to calculated ground reaction force metrics. </li> <li>ForcePlate - Contains force plate data calculated from the instrumented treadmill and interpolated to the Marker data.</li> <li>LinkModel - Contains data from the biomechanical model, including trunk angle. </li> <li>Markers - Contains marker data from motion capture. </li> </ul> </li> </ul> </li> </ul> </li> </ul> </li> </ul> </li> <li><strong>Code.zip </strong>contains the code used to process the raw data in Raw.zip and extract the metrics found in Results.zip. To run this, follow the steps below.<br> <ol> <li>Copy files from Projects/TreadmillPerturbations/Run/ to directory where processed data will be stored. </li> <li>In this same folder from (1), create the following directories: <ul> <li>Processed/LL1/Session1</li> <li>Processed/LL1/Session2</li> <li>Processed/LL1/Session3</li> <li>Processed/LL1/Session4</li> <li>Processed/LL1/Session5</li> <li>Processed/LL2/Session1</li> <li>Processed/LL2/Session2</li> <li>Processed/LL2/Session3</li> <li>Processed/LL2/Session4</li> <li>Processed/LL2/Session5</li> <li>Processed/LL3/Session1</li> <li>Processed/LL3/Session2</li> <li>Processed/LL3/Session3</li> <li>Processed/LL3/Session4</li> <li>Processed/LL3/Session5</li> </ul> </li> <li>In LLX_ProcessData.m, edit <code>raw_data_all</code> variable to path where raw data is stored (where data from Raw.zip has been extracted to).</li> <li>Run LLX_ProcessData.m. Processed data will appear as .mat files in directories created in (2).</li> <li>Run LLX_Analysis.m. This will reproduce the results found in Results.zip.</li> </ol> </li> </ul>
Atomically resolved imaging of the conformations and adsorption geometries of individual β-cyclodextrins with non-contact AFM
<p>Raw data for publication titled <em>Atomically resolved imaging of the conformations and adsorption geometries of individual β-cyclodextrins with non-contact AFM.</em></p>
Number of sources at individual stages of the continuum between the apolitical and political nature of the police in the Polish People's Republic and the Third Polish Republic
<p>Bäcker Roman, <span>Number of sources at individual stages of the continuum between the apolitical and political nature of the police in the Polish People’s Republic and the Third Polish Republic</span></p> <p> </p> <p><span>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></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.