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132 results for “Swift”
3-D T1 relaxation time measurements in an equine model of subtle post-traumatic osteoarthritis using MB-SWIFT
<p>This dataset contains Key analysis and plotting scripts, data, and sample images.</p> <p>3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT</p> <p>Journal of Orthopaedic Research | DOI: 10.1002/jor.25629</p> <p>Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2)</p> <p> 1Department of Applied Physics, University of Eastern Finland <br> 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu<br> 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University<br> 4Science Service Center, Kuopio University Hospital, Kuopio, Finland<br> 5School of Information Technology and Electrical Engineering, The University of Queensland </p> <p><br> *Corresponding author<br> Mikko J. Nissi<br> Department of Technical Physics<br> University of Eastern Finland, Kuopio Finland<br> POB 1627<br> 70211 Kuopio<br> mikko.nissi@uef.fi<br> +358-50-5955517<br> Running title: ‘3D T1 of mild PTOA using MB-SWIFT’</p> <p><br> Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content.</p> <p>Included folders and files are:<br> - Article_figures: all figures published in the manuscript (.svg format)<br> - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis.<br> - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files:<br> - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. <br> - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. <br> - Analysis: Key scripts used for analysis and plotting.</p> <p>- README.txt: this file describing the contents of the dataset.</p> <p><br> See more info in separate readme files included in sub-folders.</p> <p><br> (Swetha Pala, 31 May 2023)</p>
Fermi-GBM and Swift-BAT Data Release Related to Analysis of Gravitational-Wave Candidates from the Third Gravitational-wave Observing Run
<p>This material contains the data products associated with A Joint Fermi-GBM and Swift-BAT Analysis of Gravitational-Wave Candidates from the Third Gravitational-wave Observing Run [1]. It is based, in part, on data products associated with GWTC-2.1 [2][3] and GWTC-3 [4][5] from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration provided under a Creative Commons Attributional 4.0 International license. For more information, see the paper (<a href="https://arxiv.org/abs/2308.13666">https://arxiv.org/abs/2308.13666</a>) and the included README.txt.</p> <p>The data release includes the following directories:</p> <ul> <li><strong>3sigma_upper_limit_maps:</strong> 3 sigma flux upper limits reported by GBM as a function of sky position over a 10-1000 keV energy range.</li> <li><strong>5sigma_upper_limit_maps: </strong>5 sigma flux upper limits reported by GBM and BAT as a function of sky position over a 15-350 keV energy range.</li> <li><strong>gbm_targeted_results: </strong>GRB candidates from the GBM Targeted Search.</li> <li><strong>gbm_temporal_offset_analysis: </strong>input files to the time offset analysis applied to GBM on-board triggers and candidates from the GBM Untargeted Search.</li> <li><strong>bbh_model_fluxes: </strong>predicted gamma-ray fluxes over the 10-1000 keV energy range for likely BBH mergers.</li> <li><strong>gw_localizations:</strong> GW localization files used to overlay the 90% credible area onto GBM upper limits as a function of sky position.</li> <li><strong>m1_m2_contours: </strong>90% credible region paths for the GW component masses m1, m2.</li> </ul> <p>The data release also includes a set of example scripts to show how the contents of the data files are used. Refer to the included README.txt for more details.</p> <p><strong>References:</strong></p> <p><a href="https://arxiv.org/abs/2308.13666">[1] Fletcher, C. et al 2023, arXiv, 2308.13666</a><br> <a href="https://doi.org/10.5281/zenodo.6513631">[2] LIGO Scientific Collaboration and Virgo Collaboration. 2022, Zenodo, 6513631</a><br> <a href="https://doi.org/10.5281/zenodo.5759108">[3] LIGO Scientific Collaboration and Virgo Collaboration. 2021, Zenodo, 5759108</a><br> <a href="https://doi.org/10.5281/zenodo.5546663">[4] LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration. 2021, Zenodo, 5546663</a><br> <a href="https://doi.org/10.5281/zenodo.5546665">[5] LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2021, Zenodo, 5546665</a></p> <p><br> </p>
SWIFT data collected in the Southern California Bight by SWIFT drifters as part of the ONR Langmuir Circulation Departmental Research Initiative (LC-DRI)
Open the record for dataset details and reuse information.
Data from: Offspring telomere length in the long lived Alpine swift is negatively related to the age of their biological father and foster mother
A growing body of studies is showing that offspring telomere length (TL) can be influenced by the age of their parents. Such a relationship might be explained by variation in TL at conception (gamete effect) and/or by alteration of early growth conditions in species providing parental care. In a long-lived bird with bi-parental care, the Alpine swift (Apus melba), we exchanged an uneven number of 2 to 4-day-old nestlings between pairs as part of a brood size manipulation. Nestling TL was measured at 50 days after hatching, which allowed investigation of the influence of the age of both their biological and foster parents on offspring TL, after controlling for the manipulation. Nestling TL was negatively related to the age of their biological father and foster mother. Nestling TL did not differ between enlarged and reduced broods. These findings suggest that offspring from older males were fertilized by gametes with shorter telomeres, presumably due to a greater cell division history or a longer accumulation of damage, and that older females may have provided poorer parental care to their offspring.
Data from: Gliding for a free lunch: biomechanics of foraging flight in Common Swifts (Apus apus)
Although the biomechanics of animal flight have been well studied in laboratory apparatus such as wind tunnels for many years, the applicability of these data to natural flight behaviour has been examined in few instances and mostly in the context of long-distance migration. Here we use rotational stereo-videography to record the free-flight trajectories of foraging common swifts. We find that despite their exquisite manoeuvring capabilities, the swifts only rarely performed high-acceleration turns. More surprisingly, we also found that despite feeding on tiny insects likely moving with ambient flow, the birds adjust their air speed to optimize cost of transport over distance. Finally, swifts spent only 25% of their time flapping; the majority of time (71%) was spent in extended wing gliding during which the average power expended for changes in speed or elevation was 0.84 W kg-1 and not significantly different from 0. Thus, gliding swifts extracted sufficient environmental energy to pay the cost of flight during foraging.
Fig. 2 in Trypanosomiasis: An emerging disease in Alpine swift (Tachymarptis melba) nestlings in Switzerland?
Fig. 2. Fledging indexes of 7 Swiss Alpine swift colonies from 2015 to 2022.
Swift-BAT Response Files for NITRATES
<p>The response files used in the NITRATES search. </p> <p>resp_tabs.tar.gz - contains the photoelectric and Compton response files that were generated using detectors only in the mass model. The direct response. </p> <p>resp_tabs_ebins.tar.gz - same as resp_tabs.tar.gz except it uses only the 9 analysis energy bins</p> <p>comp_flor_resps.tar.gz - contains the Compton and fluorescence response files that were generated using the whole mass model. The indirect response. </p> <p>hp_flor_resps.tar.gz - contains the fluorescence only response files that were generated using the whole mass model. The indirect response.</p> <p>solid_angle_dpi.npy - file with the solid angle each detector is exposed to through the holes in the mask. Used for the diffuse model. </p> <p>rate_resps.tar.gz - contains a grid of spectral models folded through the response for the split rates analysis for a spectral norm of 1. This is for a grid of points in imx and imy.</p> <p>rate_resps_outFoV.tar.gz - the same as rate_resps.tar.gz except for the out of FoV grid points. </p>
Raw Data for the article: A retrospective molecular epidemiological scenario of carbapenemase-producing Klebsiella pneumoniae clinical isolates in a Sicilian transplantation hospital shows a swift polyclonal divergence among sequence types, resistome and virulome
<p>In this work, we assessed and characterized the epidemiological scenario of carbapenem-resistant Klebsiella pneumoniae strains (CR-Kp) at IRCCS-ISMETT, a transplantation hospital in Palermo, Italy, from 2008 to 2017. A total of 288 K. pneumoniae clinical isolates were selected based on their resistance to carbapenems. Molecular characterization was also done in terms of the presence of virulence and resistance genes. All patients were inpatients from our facility and clinical isolates were collected from several sources, either from infection or colonization cases. We observed that, in agreement with the Italian epidemiological scenario, initially only ST258 and ST512 clade II (but not from clade I) were identified from 2008 to 2011. From 2012 onwards, other STs have been observed, including the clinically relevant ST101 and ST307, but also others not previously observed in other Italian health settings, such as ST220 and ST753. The presence of genes involved in resistance and virulence was confirmed, and a heterogeneous genetic resistance profile throughout the years was observed. Our work highlights that resistance genes are rapidly disseminating between different and novel K. pneumoniae clones which, combined with resistance to multiple antibiotics, can derive into more aggressive and pathogenic multidrug-resistant strains of clinical importance. Our results stress the importance of continuous surveillance of CR Enterobacterales in health facilities so that novel STs carrying resistance and virulence genes that may become increasingly pathogenic can be identified and adequate therapies to adopted to avoid their dissemination and derived pathologies.</p>
The aeroecology of atmospheric convergence zones: the case of Pallid swifts
<p>Trans-Saharan migratory bird species encounter large scale seasonal atmospheric convergence zones, where opposing monsoon and continental air masses meet. These macro-scale atmospheric conditions determine local weather, influence migratory and foraging behaviour and seasonal bird survival rates. Here we investigate the flight behaviour of Pallid swifts (<em>Apus pallidus</em>), a small aerial insectivore, in relation to non-breeding season atmospheric conditions using state-of-the-art GPS logged data. Our analysis suggests that pallid swift prey on insects by catching them where they are most densely concentrated within the atmosphere. Residence of birds in West Africa well past the vegetation minimum suggests that the state of the vegetation and associated local insect populations are not necessarily limiting. Migration events within, to and from, the non-breeding season foraging locations might therefore not only be guided by a decline in vegetation as common metric for prey availability, but also by shifting wind directions and their concentrating effects.</p> <p><strong>Supporting materials</strong></p> <p>This repository includes all data to reproduce the statistics in the described study, above. Certain omissions were made due to the data volumes involved. The latter mostly pertain to the visualization of the processes involved using transects through the atmosphere.</p> <p><strong>Data structure</strong></p> <p>Key data is saved in compressed R serial files (.rds) in the <code>data</code> folder. The <code>position_data.rds</code> file contains bird positions, headings and ancillary data to support most of the analysis in the study. Additional rds files are included which cover spatial analysis in support of the analysis (in the analysis folder).</p> <p><strong>Code execution</strong></p> <p>It is best to execute code in the numeric sequence as provided in the filename. Although it should not matter for the statistical analysis.</p> <p><strong>Licensing</strong></p> <p>For the data include be mindful of the Open Database License (ODbL) which is a copyleft license. Reuse is permitted on the condition that any database (including aggregated working data for analysis) in which our database is used remains open as well. The authors will enforce this policy. All other material such as figures and draft manuscripts are distributed under a CC-BY-SA-4.0 license.</p> <p><strong>Referencing</strong></p> <p>When referencing the data cite both the data repository as: Kearsley, L. et al. 2022. Data from: The aeroecology of atmospheric convergence zones: the case of pallid swifts. – Zenodo Repository, <https://doi.org/10.5281/zenodo.6320888>) and the original paper (Kearsley et al. 2022, <a href="https://doi.org/10.1111/oik.08594">doi.org/10.1111/oik.08594</a>).</p>
TUVOpipe: a pipeline to search for UV transients with Swift-UVOT
<p>This is a basic reproduction package for the paper 'TUVOpipe: a pipeline to search for UV transients with Swift-UVOT' by Modiano et al. (2022). It aims to provide the most important data products to check and reproduce the main results of the paper, listing all software used and data archives containing the public data used.</p> <p>The paper is available on arxiv: <a href="https://arxiv.org/abs/2202.10143">TUVOpipe: a pipeline to search for UV transients with Swift-UVOT</a></p> <p>The paper has been accepted for publication in Astronomy & Astrophysics (acceptance date: 09/02/2022). DOI: 10.1051/0004-6361/202142997</p>
Black Swift Technologies S0 Data from 24 March 2023 Data Collection Mission
<p>The file contains data from the whole flight on 24 March 2023. The part analyzed in the manuscript is near the end of the flight when the S0 was near 10 m altitude. </p> <p> </p> <p>File Contents Include: </p> <p>Format:<br> netcdf4<br>Global Attributes:<br> Conventions = 'CF-1.8, WMO-CF-1.0'<br> wmo__cf_profile = 'FM 303- draft'<br> featureType = 'trajectory'<br> platform_name = ''<br> flight_id = 'P3 Drop Test'<br>Dimensions:<br> obs = 15788<br>Variables:<br> lat <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: single<br> Attributes:<br> standard_name = 'latitude'<br> units = 'degrees_north'<br> axis = 'Y'<br> lon <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: single<br> Attributes:<br> standard_name = 'longitude'<br> units = 'degrees_east'<br> axis = 'X'<br> altitude <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'altitude'<br> units = 'km'<br> axis = 'Z'<br> positive = 'up'<br> long_name = 'altitude_above_sea_level'<br> time <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'time'<br> units = 'seconds since 2023-03-24T22:18:57Z'<br> axis = 'T'<br> calendar = 'standard'<br> temp <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'air_temperature'<br> units = 'K'<br> coordinates = 'lat lon altitude time'<br> dew_point <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'dew_point_temperature'<br> units = 'K'<br> coordinates = 'lat lon altitude time'<br> rel_hum <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'relative_humidity'<br> units = '1'<br> coordinates = 'lat lon altitude time'<br> air_press <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'air_pressure'<br> units = 'Pa'<br> coordinates = 'lat lon altitude time'<br> wind_speed<br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'wind_speed'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_dir <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'wind_from'<br> units = 'degree'<br> coordinates = 'lat lon altitude time'<br> wind_u <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'x_wind'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_v <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'y_wind'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> wind_w <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'downward_air_velocity'<br> units = 'm s-1'<br> coordinates = 'lat lon altitude time'<br> tsurf <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'sea_surface_temperature'<br> units = 'degC'<br> coordinates = 'lat lon altitude time'<br> laseralt <br> Size: 15788x1<br> Dimensions: obs<br> Datatype: double<br> Attributes:<br> standard_name = 'laser_height'<br> units = 'm'<br> coordinates = 'lat lon altitude time'<br> long_name = 'laser_height_corrected_with_attitude'</p>
TABLE 1 in Species limits in the African Palm Swift Cypsiurus parvus
<p>TABLE 1 Means and standard deviations of length of wing and tail (see text) of taxa of African Palm Swift <i>Cypsiurus parvus</i> (males alone). * indicates Malagasy taxa.</p><table><tbody><tr><th><b>taxon</b></th><th><b>sample</b></th><th><b>mean wing</b></th><th><b>S.D.</b></th><th><b>mean tail</b></th><th><b>S.D.</b></th></tr></tbody><tbody><tr><th>parvus</th><td>14</td><td>129.4</td><td>3.61</td><td>93.3</td><td>4.41</td></tr><tr><th>brachypterus</th><td>10</td><td>124</td><td>3.41</td><td>92.2</td><td>3.03</td></tr><tr><th>myochrous</th><td>10</td><td>126.5</td><td>4.04</td><td>94.1</td><td>4.86</td></tr><tr><th>laemostigma</th><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td></tr><tr><th>hyphaenes</th><td>1</td><td>131</td><td>—</td><td>88</td><td>—</td></tr><tr><th>celer</th><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td></tr><tr><th>*griveaudi</th><td>5</td><td>127</td><td>2.92</td><td>81.4</td><td>1.52</td></tr><tr><th><i>*gracilis</i></th><td>27</td><td>120.9</td><td>3.20</td><td>78.0</td><td>4.13</td></tr></tbody></table>
TABLE 2 in Species limits in the African Palm Swift Cypsiurus parvus
<p>TABLE 2 Means and standard deviations of length of wing and tail of African and Malagasy taxa of African Palm Swift <i>Cypsiurus parvus</i> from Table 1.</p><table><tbody><tr><th></th><th><i>n</i></th><th><b>wing</b></th><th><b>tail</b></th></tr></tbody><tbody><tr><th>African <i>Cypsiurus</i></th><td>35</td><td>127.1 ± 4.26</td><td>93.1 ± 4.21</td></tr><tr><th>Malagasy <i>Cypsiurus</i></th><td>32</td><td>121.8 ± 3.85</td><td>78.5 ± 4.02</td></tr></tbody></table>
Data from: Three-dimensional trajectories and network analyses of group behaviour within chimney swift flocks during approaches to the roost
Chimney swifts (Chaetura pelagica) are highly manoeuvrable birds notable for roosting overnight in chimneys, in groups of hundreds or thousands of birds, before and during their autumn migration. At dusk, birds gather in large numbers from surrounding areas near a roost site. The whole flock then employs an orderly, but dynamic, circling approach pattern before rapidly entering a small aperture en masse. We recorded the three-dimensional trajectories of ≈1 800 individual birds during a 30 min period encompassing flock formation, circling, and landing, and used these trajectories to test several hypotheses relating to flock or group behaviour. Specifically, we investigated whether the swifts use local interaction rules based on topological distance (e.g. the n nearest neighbours, regardless of their distance) rather than physical distance (e.g. neighbours within x m, regardless of number) to guide interactions, whether the chimney entry zone is more or less cooperative than the surrounding flock, and whether the characteristic subgroup size is constant or varies with flock density. We found that the swift flock is structured around local rules based on physical distance, that subgroup size increases with density, and that there exist regions of the flock that are less cooperative than others, in particular the chimney entry zone.
Swift parrot data including the sex of offspring and their hatch order
<p>Most species produce equal numbers of sons and daughters, and sex differences in survival after parental care do not usually affect this pattern. Temporary overproduction of the scarcer sex can be adaptive when generations overlap, the sexes differ in life history expectations, and parents can anticipate future mating opportunities. However an alternative strategy of maximising the competitiveness of the more abundant sex in these circumstances remains unexplored. We develop theory showing how mothers can maximise reproductive value when future mate competition will be high by producing more sons in the advantageous early hatching positions within their broods. Our model for optimal birth order was supported by long term data of offspring sex in a parrot facing catastrophic female mortality caused by introduced predators. Swift parrots (<i>Lathamus discolor</i>) suffer high female mortality due to introduced sugar gliders (<i>Petaurus breviceps</i>) creating fluctuating male biased adult sex ratios. Offspring hatched early within broods fledged in better condition, and in support of our model were more likely to be male in years with higher adult female mortality. We found a highly significant rank-order correlation between observed and predicted birth sex ratios. Our study shows the potential for mothers to maximise reproductive value via strategic biases in offspring sex depending on the advantages conferred by birth order and the predictability of future mate competition. Our long term data support the predictions and appear to suggest that sex allocation strategies may evolve surprisingly quickly when anthropogenic pressures on populations are severe.</p>
Swift BAT Mosaic Pattern Noise Maps
<p>This dataset is the noise pattern maps that are needed to analyze Swift BAT data and produce "time integrated" mosaic images using the <a href="https://github.com/parsotat/BatAnalysis">BatAnalysis</a> python package. </p> <p>The file can be untarred and placed into a directory accessible by python such that these files can be used in the analysis of BAT data. </p> <p>These pattern maps are from 2004 day 350 (2004-12-15) to 2019 day 212 (2019-07-31). </p>
Godwin Meade Swifte Flying Machine Rothe House
This is the prop and gear from an airplane built in 1857 , when the inventor Godwin Meade Swifte claimed to have flown a powered airplane some 50 years before the Wright Brothers in America. Swifte built the flyer in his home and had to have doors enlarged to take it outside. He couldn't find a motor both light enough and powerful enough to power the plane, so he used a pedaling system. He took the contraption to Foulksrath Castle where a small summit provided a good launching point. Not fully confident in his flying machine, he had one of his butlers try out the "Aerial Chariot." The chariot fell to the ground, resulting in a broken leg. For the servant, not the inventor. The project was abandoned. Source: Objaverse 1.0 / Sketchfab
Swift Creek Complicated Stamped
These mended Swift Creek Complicated Stamped sherds were recovered from a mound context at the Richardson's Hammock Site 8 (8Gu10), located in Apalachicola River Valley of Northwest Florida. Source: Objaverse 1.0 / Sketchfab
Improved Breast MRI With SWIFT
ClinicalTrials.gov study NCT01156987. IPD Sharing: Not stated. Countries: 1. Publications: 4.
SOLITAIRE™ FR With the Intention For Thrombectomy (SWIFT) Study
ClinicalTrials.gov study NCT01054560. IPD Sharing: Not stated. Countries: 1. Publications: 7.
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.