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.
3,505
datasets available to search
ShareScore release 0.9.0
Dataset results
3,505 results for “completive”
Figure 2 in General methods to obtain and analyze the complete mitochondrial genome of aphid species: Eriosoma lanigerum (Hemiptera: Aphididae) as an example
Figure 2. Steps of annotation one complete mt genome of aphid species.
Fig. 18 in A Complete Late Cretaceous Iguanian (Squamata, Reptilia) from the Gobi and Identification of a New Iguanian Clade
Fig. 18. Left knee of Saichangurvel davidsoni (IGM 3/858) in anterodorsal view.
Fig. 17 in A Complete Late Cretaceous Iguanian (Squamata, Reptilia) from the Gobi and Identification of a New Iguanian Clade
Fig. 17. Left pes of Saichangurvel davidsoni
Fig. 1 in A Complete Late Cretaceous Iguanian (Squamata, Reptilia) from the Gobi and Identification of a New Iguanian Clade
Fig. 1. Saichangurvel davidsoni (IGM 3/858) in dorsal view as preserved.
Fig. 2 in A Complete Late Cretaceous Iguanian (Squamata, Reptilia) from the Gobi and Identification of a New Iguanian Clade
Fig. 2. Map of Mongolia showing the location of Ukhaa Tolgod.
FIG. 9. — Wuria milloti n in The water mites of Madagascar (Acari, Hydrachnidia): a revised list completed by original material conserved at the Muséum national d'Histoire naturelle, Paris
FIG. 9. — Wuria milloti n. sp.,
FIG. 7. — Wuria milloti n in The water mites of Madagascar (Acari, Hydrachnidia): a revised list completed by original material conserved at the Muséum national d'Histoire naturelle, Paris
FIG. 7. — Wuria milloti n. sp.; A,, ventral view; B,, genital field. Scale bar: 100 µm.
Figure 1 in General methods to obtain and analyze the complete mitochondrial genome of aphid species: Eriosoma lanigerum (Hemiptera: Aphididae) as an example
Figure 1. Procedures of sequencing one complete mt genome of aphid species.
Inductive Freebase and Wikidata for KG Completion
<p>UPD 2.0: Regenerated datasets free of potential test set leakages</p> <p>This repository contains 10 inductive link prediction datasets (graphs only) published in "Inductive Logical Query Answering in Knowledge Graphs" (NeurIPS 2022). 9 datasets (106-550) were created from FB15k-237, the wikikg dataset was created from OGB WikiKG 2 graph. In the datasets, all inference graphs extend training graphs and include new nodes and edges. Dataset numbers indicate a relative size of the inference graph compared to the training graph, e.g., in 175, the number of nodes in the inference graph is 175% compared to the number of nodes in the training graph. The higher the ratio, the more new unseen nodes appear at inference time, the more complex the task is. The Wikikg split has a fixed 133% ratio.</p> <p>Each dataset is a zip archive containing 5 files:</p> <ul> <li>train_graph.txt (pt for wikikg) - original training graph</li> <li>val_inference.txt (pt) - inference graph (validation split), new nodes in validation are disjoint with the test inference graph</li> <li>val_predict.txt (pt) - missing edges in the validation inference graph to be predicted. </li> <li>test_intference.txt (pt) - inference graph (test splits), new nodes in test are disjoint with the validation inference graph</li> <li>test_predict.txt (pt) - missing edges in the test inference graph to be predicted;</li> </ul> <p>This is a light-weight version of the full datasets for inductive query answering published here: https://zenodo.org/record/7231344 </p> <p>Here, we only provide graph data for training inductive link prediction models.</p> <p>Paper pre-print: https://arxiv.org/abs/2210.08008</p> <p>The full source code of training/inference models is available at https://github.com/DeepGraphLearning/InductiveQE</p>
Components of the complete budget for SAFE intensive carbon plots
<p><strong>Description: </strong></p> <p>Measured components of total carbon budget at SAFE project, values, with standard errors, for each 1-ha carbon plots for 11 plots investigated across a logging gradient from unlogged old-growth to heavily logged.<br> <br> These data are also published in below-ground carbon cycle in Riutta et al 2021 GBC and allocation of net primary productivity from Riutta et al 2019 GCB. This worksheet include two addititional carbon plots from Lambir Hills National Park (see Kho et al. 2013 JGR), which are not part of the SAFE Project. Below-ground carbon cycle data can be found at DOI 10.5281/zenodo.3266770 and leaf respiration at DOI 10.5281/zenodo.3247630.<br> <br> SAFE Intensive Carbon Plots, part of the Global Ecosystem Monitoring (GEM) network, see http://gem.tropicalforests.ox.ac.uk/. All the methods and installation is described in detail in the GEM Intensive Carbon Plots manual, available at http://gem.tropicalforests.ox.ac.uk/files/rainfor-gemmanual.v3.0.pdf.</p> <p><strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/113"><strong>Changing carbon dioxide and water budgets from deforestation and habitat modification</strong></a></p> <p><strong>Funding: </strong>These data were collected as part of research funded by:</p> <ul> <li>Sime Darby Foundation (Grant, SAFE Core data)</li> <li>European Research Council Advanced Investigator Grant, GEM-TRAIT (Grant, Grant number 321131)</li> <li>NERC Human-Modified Tropical Forests Programme: Biodiversity And Land-use Impacts on tropical ecosystem function (BALI) Project (Grant, NE/K016369/1)</li> <li>NERC standard grant: The multi-year impacts of the 2015/2016 El Niño on the carbon cycle of tropical forests worldwide (Grant, NE/P001092/1)</li> <li>HSBC Malaysia (Grant)</li> <li>The University of Zurich (Grant)</li> </ul> <p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p> <p> </p> <p><strong>Permits: </strong>These data were collected under permit from the following authorities:</p> <ul> <li>Sabah Biodiversity Council (Research licence JKM/MBs.1000-2/2 JLD.6 (76))</li> </ul> <p> </p> <p><strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=7307449">here</a></p> <p><strong>Files: </strong>This consists of 1 file: SAFE_CarbonBalanceComponents.xlsx</p> <p><strong>SAFE_CarbonBalanceComponents.xlsx</strong></p> <p>This file contains dataset metadata and 1 data tables:</p> <ol> <li> <p><strong>Carbon balance components data</strong> (described in worksheet Data)</p> <p>Description: Carbon balance components and carbon budget of intensive carbon plots at SAFE project</p> <p>Number of fields: 64</p> <p>Number of data rows: 11</p> <p>Fields:</p> <ul> <li><strong>ForestType</strong>: Old-growth or Logged (Field type: categorical)</li> <li><strong>SAFEPlotName</strong>: SAFE plot name, as in the SAFE Gazetteer (Field type: location)</li> <li><strong>PlotName</strong>: Plot name (used in field work) (Field type: id)</li> <li><strong>ForestPlotsCode</strong>: Plot code, as in the ForestPlots database (this should be used in publications, instead of plot name) (Field type: id)</li> <li><strong>WoodyNPP_Stem</strong>: Woody stem productivity (subcomponent of woody net primary productivity) (Field type: numeric)</li> <li><strong>WoodyNPP_CoarseRoot</strong>: Coarse root productivity (subcomponent of woody net primary productivity) (Field type: numeric)</li> <li><strong>WoodyNPP_BranchTurnover</strong>: Branch turnover productivity (subcomponent of woody net primary productivity) (Field type: numeric)</li> <li><strong>WoodyNPP_Total</strong>: Total woody net primary producivity (Field type: numeric)</li> <li><strong>CanopyNPP_Leaf</strong>: Leaf productivity (subcomponent of canopy net primary productivity) (Field type: numeric)</li> <li><strong>CanopyNPP_Twig</strong>: Twig productivity (subcomponent of canopy net primary productivity) (Field type: numeric)</li> <li><strong>CanopyNPP_Reproductive</strong>: Reproductive productivity, i.e. fruit, seed and flowers (subcomponent of canopy net primary productivity) (Field type: numeric)</li> <li><strong>CanopyNPP_Miscellaneous</strong>: Unidentified canopy debris (subcomponent of canopy net primary productivity) (Field type: numeric)</li> <li><strong>CanopyNPP_Herbivory</strong>: Leaf productivity lost to herbivory (subcomponent of canopy net primary productivity) (Field type: numeric)</li> <li><strong>CanopyNPP_Total</strong>: Total canopy net primary producivty (Field type: numeric)</li> <li><strong>FineRootNPP</strong>: Fine root productivity (Field type: numeric)</li> <li><strong>TotalNPP_WithoutMycorrhiza</strong>: Total net primary productivity without mycorrhiza (Field type: numeric)</li> <li><strong>TotalNPP_WithMycorrhiza</strong>: Total net primary productivity including mycorrhiza (Field type: numeric)</li> <li><strong>GPP_WithoutMycorrhiza</strong>: Gross primary productivity without mycorrhiza (Field type: numeric)</li> <li><strong>GPP_WithMycorrhiza</strong>: Gross primary productivity including mycorrhiza (Field type: numeric)</li> <li><strong>R_Stem</strong>: Respiration from woody stems (Field type: numeric)</li> <li><strong>R_Leaf</strong>: Leaf Respiration (Field type: numeric)</li> <li><strong>R_FineRoots</strong>: Respiration from fine roots (Field type: numeric)</li> <li><strong>R_CoarseRoots</strong>: Respiration from coarse roots (Field type: numeric)</li> <li><strong>R_SOM</strong>: Respiration from soil organic matter (Field type: numeric)</li> <li><strong>R_Mycorrhiza</strong>: Respiration from mycorrhiza (Field type: numeric)</li> <li><strong>R_Litter</strong>: Respiration from litter layer (Field type: numeric)</li> <li><strong>R_Deadwood</strong>: Deadwood respiration (Field type: numeric)</li> <li><strong>R_auto</strong>: Total autotrophic respiration (Field type: numeric)</li> <li><strong>R_het</strong>: Total heterotrophic respiration (Field type: numeric)</li> <li><strong>R_eco</strong>: Total ecosystem respiration (Field type: numeric)</li> <li><strong>NEP_WithoutMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) without including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric)</li> <li><strong>NEP_WithMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric)</li> <li><strong>AbovegroundBiomassCarbonStock</strong>: Plot above-ground biomass carbon stock (Field type: numeric)</li> <li><strong>CoarseRootBiomassCarbonStock</strong>: Biomass carbon stock of coarse roots (Field type: numeric)</li> <li><strong>SE_WoodyNPP_Stem</strong>: Standard error of woody stem productivity (Field type: numeric)</li> <li><strong>SE_WoodyNPP_CoarseRoot</strong>: Standard error of coarse root productivity (Field type: numeric)</li> <li><strong>SE_WoodyNPP_BranchTurnover</strong>: Standard error of branch turnover productivity (Field type: numeric)</li> <li><strong>SE_WoodyNPP_Total</strong>: Standard error of total woody net primary producivity (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Leaf</strong>: Standard error of leaf productivity (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Twig</strong>: Standard error of twig productivity (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Reproductive</strong>: Standard error of reproductive productivity, i.e. fruit, seed and flowers (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Miscellaneous</strong>: Standard error of unidentified canopy debris (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Herbivory</strong>: Standard error of leaf productivity lost to herbivory (Field type: numeric)</li> <li><strong>SE_CanopyNPP_Total</strong>: Standard error of total canopy net primary producivty (Field type: numeric)</li> <li><strong>SE_FineRootNPP</strong>: Standard error of fine root productivity (Field type: numeric)</li> <li><strong>SE_TotalNPP_WithoutMycorrhiza</strong>: Standard error of total net primary productivity without mycorrhiza (Field type: numeric)</li> <li><strong>SE_TotalNPP_WithMycorrhiza</strong>: Standard error of total net primary productivity including mycorrhiza (Field type: numeric)</li> <li><strong>SE_GPP_WithoutMycorrhiza</strong>: Standard error of gross primary productivity without mycorrhiza (Field type: numeric)</li> <li><strong>SE_GPP_WithMycorrhiza</strong>: Standard error of gross primary productivity including mycorrhiza (Field type: numeric)</li> <li><strong>SE_R_Stem</strong>: Standard error of respiration from woody stems (Field type: numeric)</li> <li><strong>SE_R_Leaf</strong>: Standard error of leaf Respiration (Field type: numeric)</li> <li><strong>SE_R_FineRoots</strong>: Standard error of respiration from fine roots (Field type: numeric)</li> <li><strong>SE_R_CoarseRoots</strong>: Standard error of respiration from coarse roots (Field type: numeric)</li> <li><strong>SE_R_SOM</strong>: Standard error of respiration from soil organic matter (Field type: numeric)</li> <li><strong>SE_R_Mycorrhiza</strong>: Standard error of respiration from mycorrhiza (Field type: numeric)</li> <li><strong>SE_R_Litter</strong>: Standard error of litter layer respiration (Field type: numeric)</li> <li><strong>SE_R_Deadwood</strong>: Standard error of deadwood respiration (Field type: numeric)</li> <li><strong>SE_R_auto</strong>: Standard error of total autotrophic respiration (Field type: numeric)</li> <li><strong>SE_R_het</strong>: Standard error of total heterotrophic respiration (Field type: numeric)</li> <li><strong>SE_R_eco</strong>: Standard error of total ecosystem respiration (Field type: numeric)</li> <li><strong>SE_NEP_WithoutMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric)</li> <li><strong>SE_NEP_WithMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric)</li> <li><strong>SE_AbovegroundBiomassCarbonStock</strong>: Standard error of plot above-ground biomass carbon stock (Field type: numeric)</li> <li><strong>SE_CoarseRootBiomassCarbonStock</strong>: Standard error of biomass carbon stock of coarse roots (Field type: numeric)</li> </ul> </li> </ol> <p><strong>Date range: </strong>2011-08-25 to 2018-07-17</p> <p><strong>Latitudinal extent: </strong>4.1830 to 5.0700</p> <p><strong>Longitudinal extent: </strong>114.0190 to 117.8200</p>
Data for: Whole Animal Feed FLat (WAFFL): A complete and comprehensive validation of a novel high-throughput fly experimentation system
<p>Non-mammalian model organisms have been essential for our understanding of the mechanisms that control development, disease, and physiology, but they are underutilized in pharmacological and toxicological phenotypic screening assays due to their low throughput in comparison with cell-based screens. To increase the utility of using <em>Drosophila melanogaster</em> in screening, we designed the Whole Animal Feeding FLat (WAFFL), a novel, flexible, and complete system for feeding, monitoring, and assaying flies in a high-throughput format. Our 3-D printed system is compatible with inexpensive and readily available, commercial 96-well plate consumables and equipment. Experimenters can change the diet at will during the experiment and video record for behavior analysis, enabling precise dosing, measurement of feeding, and analysis of behavior in 96-well plate format. </p>
Appendix of the thesis "Acquisition of new genetic knowledge on Mycobacterium bovis strains, circulating in France, by the whole genome sequencing approach", part "4. Sequencing of new complete genomes", Ciriac CHARLES
<p>Annex S1: Sequencing metric of the 10 new genomes and obtained with fastqc. A: Metric provide to Illumina metric. B: metric provide to MinION metric.</p> <p>Annex S2: Pan-genomic study performed on 12 <em>M. bovis</em> complete genomes. The table indicates the genes accessory. “1” shows the presence of CDS and “0” his absence.</p> <p>Annex S3: Indels between the ten new complete genomes and Mb3601 using progressiveMauve. Annotation of these indels was performed with reference genome comparison for gap or with the annotation (with Prokka) of the new complete genome studied for insertion. IS<em>6110</em> is marked in green. "Indel distribution" sheet shows the indel distribution on the <em>M. bovis</em> genome for the ten new complete genomes. Black arrows show the genomic region with the most of indel found.</p> <p>Annex S4: WgSNP analysis performed on 98 <em>M. bovis</em>. SNPs were annotated and selected according to their specificity to an <em>M. bovis</em> group described in Fig 5. The last common give information on the genetic impact of the SNP. The last sheet presents a graph of SNP number in genomic position.</p> <p>Annex S5: Alignments of the 12 <em>M. bovis </em>complete genomes.</p>
Data from: Physiological response of mature red spruce trees to partial and complete sapwood severing
<p> Drought frequency and severity are projected to increase in many regions of the world, yet it remains unclear how mesic forest trees will respond to these novel climate conditions. Experimentally imposing drought in forests at the stand scale is logistically difficult, however, disturbing the hydraulic functioning of individual trees can induce severe water stress and may inform how large trees respond to future droughts. In this study, we manipulated water availability of red spruce (Picea rubens Sarg.) trees by partially or completely severing sapwood, and measured impacts on water relations and photosynthetic efficiency over four months. Trees with total sapwood severed (TOT) experienced a rapid 96.7% reduction in daily sap flow whereas trees with only partial sapwood severed (PAR; estimated 2 – 5% sapwood remaining) and no sapwood severed (CON; phloem girdled) experienced average reductions of 74.3% and 4.6%, respectively. Sapwood severing in TOT trees resulted in declining midday shoot water potential compared to PAR and CON trees, but TOT trees did not surpass the water potential indicative of 50% loss of conductivity until approximately 12 weeks post treatment. At seven weeks post treatment, TOT trees had 6.8 times lower midday stomatal conductance than PAR and CON trees. Furthermore, branch- and crown-wood water potentials reached extreme values (below measurement threshold of -7.7 MPa) in TOT trees by the time of tree harvest at 18 weeks but remained high and did not differ between PAR and CON trees. Our results indicate that with minimal intact sapwood, PAR trees still had sufficient hydraulic functioning to avoid water stress, while TOT trees had temporary resistance to water stress likely associated with declines in carbon sequestration and growth. These findings advance our understanding of how red spruce may physiologically respond to periods of water stress in future climates.</p>
Raw Data for the article: Clinical Insights to Complete and Incomplete Surgical Revascularization in Atrial Fibrillation and Multivessel Coronary Disease
<p><strong>Objectives: </strong>Although endorsed by international guidelines, complete revascularization (CR) with Coronary Artery Bypass Grafting (CABG) remains underused. In higher-risk patients such as those with pre-operative atrial fibrillation (AF), the effects of CR are not well studied.</p> <p><strong>Methods: </strong>We analyzed patients' data from the HEIST (HEart surgery In AF and Supraventricular Tachycardia) registry. Between 2012 and 2020 we identified 4770 patients with pre-operative AF and multivessel coronary artery disease who underwent isolated CABG. We divided the cohort according to the completeness of the revascularization and used propensity score matching (PSM) to minimize differences between baseline characteristics. The primary endpoint was all-cause mortality.</p> <p><strong>Results: </strong>Median follow-up was 4.7 years [interquartile range (IQR) 2.3-6.9]. PSM resulted in 1,009 pairs of complete and incomplete revascularization. Number of distal anastomoses varied, accounting for 3.0 + -0.6 vs. 1.7 + -0.6, respectively. Although early (< 24 h) and 30-day post-operative mortalities were not statistically different between non-CR and CR patients [Odds Ratio (OR) and 95% Confidence Intervals (CIs): 1.34 (0.46-3.86); <em>P</em> = 0.593, Hazard Ratio (HR) and 95% CIs: 0.88 (0.59-1.32); <em>P</em> = 0.542, respectively] the long term mortality was nearly 20% lower in the CR cohort [HR (95% CIs) 0.83 (0.71-0.96); <em>P</em> = 0.011]. This benefit was sustained throughout subgroup analyses, yet most accentuated in low-risk patients (younger i.e., < 70 year old, with a EuroSCORE II < 2%, non-diabetic) and when off-pump CABG was performed.</p> <p><strong>Conclusion: </strong>Complete revascularization in patients with pre-operative AF is safe and associated with improved survival. Particular survival benefit with CR was observed in low-risk patients undergoing off-pump CABG.</p>
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 1 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
In situ observation dataset under the complete seasonal cycle of lake ice
<p>This dataset contains in situ observations of lake ice under a complete seasonal cycle. The study area is Lake Hanzhang in northeast China and the observation period is from winter 2020 to spring 2021. The observations include meteorological, hydrological and optical data.</p> <p>The files contain the following data fields:</p> <p><strong>Readme</strong> – a detailed description of data</p> <p><strong>Equipment list</strong> – instrument type and accuracy</p> <p><strong>Meteorological data</strong> – air temperature, relative humidity, wind speed, pressure, surface temperature</p> <p><strong>Solar radiation data</strong> – incident solar radiation and reflected solar radiation</p> <p><strong>Ice thickness and snow depth</strong> – ice thickness (ice bottom) and snow depth (ice surface)</p> <p><strong>Ice-water temperature</strong> – ice temperature and water ice temperature</p> <p><strong>Spectral irradiance - incident (air)</strong> – incident spectral irradiance from 320 - 950 nm (air)</p> <p><strong>Spectral irradiance - reflectance (air)</strong> – reflectance spectral irradiance from 320 - 950 nm (air)</p> <p><strong>Spectral irradiance - incident (water - 70 cm to ice surface)</strong> – incident spectral irradiance from 320 - 950 nm (water - 70 cm to ice surface)</p> <p><strong>Spectral irradiance - incident (water - 110 cm to ice surface)</strong> – incident spectral irradiance from 320 - 950 nm (water - 110 cm to ice surface)</p>
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 14 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DLT40 instrument.
complete table of data for article: Changes in technical/physical performance of young soccer players throughout soccer game simulation.
<p>The table contains the data of 21 subjects</p> <p>The letters in the third column indicate playing position Midfielders (M), attackers (A) and defenders (D).</p> <p>The abbreviations that appear in the columns are:</p> <p>-Goal shooting accuracy from 20 m (GSA).</p> <p>-Dribbling (DRIB).</p> <p>-Long pass accuracy from 30 m (LPA).</p> <p>-Speed without ball in 20 x 20 m (S).</p> <p>-Perception of fatigue (PF).</p> <p>After each abbreviation, the period in which it was measured according to phase criteria (phase 1, phase 2, phase 3) or intensities, low (L), medium (M) or high (H) is indicated.</p> <p>The CMJ i and CMJ f columns show the countermovement jump height values at the beginning and end of the study, respectively.</p>
FIG. 2 in First report of complete mitogenome for an Itarinae species (Orthoptera, Grylloidea) with phylogenetic analysis
FIG. 2. — The relative synonymous codon usage (RSCU) of Itara minor Chopard, 1925.
FIG. 1 in First report of complete mitogenome for an Itarinae species (Orthoptera, Grylloidea) with phylogenetic analysis
FIG. 1. — The circular mitochondrial genome map of Itara minor Chopard, 1925.
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.