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354 results for “data accessibility”
Supplementary Data - Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions
<p><strong>File: 50K_GenotypesEU_raw_UHOH_SoySNP50K.csv.tgz </strong></p> <p>Genotyping data of SoySNP50k SNP array of 170 European soybean varieties.</p> <p>The array includes 51.955 SNP markers.</p> <p>Genotypes of each variety are in columns and each row is a SNP marker. Naming of markers follows the annotation of the soybean genome.</p> <p><strong>File: EUvarieties_infos.csv </strong></p> <p>Description of European varieties</p> <p>Contains variety name, country of origin, EU region and maturity group assignment.</p> <p> </p> <p><strong>File: Supplementary_Data_Haupt_Schmid.xlsx</strong></p> <p>Additional data derived from data analysis. Description of data contained within file (Worksheet "Summary")</p> <p> </p>
Open access data from the International Design Engineering Annual (IDEA) Challenge 2021
<p>Open access dataset from the IDEA challenge 2021. </p> <p>The generation of this dataset has been undertaken as part of the ProtoTwin project (Improving the product development process through integrated revision control and twinning of digital-physical models during prototyping). The work was conducted at the University of Bristol in the Design and Manufacturing Futures Lab (<a href="http://www.dmf-lab.co.uk/">http://www.dmf-lab.co.uk</a>) and is funded by the Engineering and Physical Sciences Research Council (EPSRC), Grant reference <a href="https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/R032696/1">EP/R032696/1</a>. The dataset was generated in collaboration with the Norwegian Technical University (NTNU), University of Zagreb and University of Twente.</p> <p>For more information please contact Mark (mark.goudswaard @ bristol.ac.uk) or James ( james.gopsill @ bristol.ac.uk)</p>
Sensitivity of a Coarse-Resolution Global Ocean Model to a Spatially Variable Neutral Diffusivity - ACCESS-OM2 data and plotting routines
<p>This repository contains the processed data and plotting routines associated with the article</p> <p>Holmes, Groeskamp, Stewart and McDougall (2022), Sensitivity of a Coarse-Resolution Global Ocean Model to a Spatially Variable Neutral Diffusivity, Journal of Advances in Modeling Earth Systems (JAMES), doi: 10.1029/2021MS002914, http://dx.doi.org/10.1029/2021MS002914</p> <p>The contents includes post-processed data output from the 1-degree ACCESS-OM2 ocean-sea-ice model simulations and the python/jupyter plotting routines required to make the plots.</p> <p>The processing script is Holmes2022JAMES_Neutral_Diffusion_ACCESS-OM2_Plotting_Script.ipynb. The data files consist of time-averages or time series of certain metrics processed using NCO tools from the raw ACCESS-OM2 simulation output.</p>
How green is my valley? Measuring open access friendliness of Indian Institutes of Technology (IITs) through data carpentry (dataset)
<p>This data set is related to the book chapter with the following bibliographic details - Mukhopadhyay, P. (2022). How green is my valley? Measuring open access friendliness of Indian Institutes of Technology (IITs) through data<br> carpentry. In A. Biswas & M. Das Biswas (Eds.), Panorama of open access: Progress, practices & prospects (1st ed., pp. 67–89). Ess Ess. https://doi.org/10.5281/zenodo.6511080.</p> <p>It includes the truncated version of the final data set that has been used for analyzing Open Access Friendliness (OAF) of the Indian Institutes of Technology (IITs). The zipped version of the data set is around 95 MB (465 MB after decompress).</p>
MOSBRI survey - Biophysical Data Standards and Accessibility
<p>The needs for data standards and formats in molecular biophysics were analysed mainly via a survey focused on data producers and users in the field: Biophysical Data Standards and Accessibility. The questions were focused on identifying the expertise and scientific interests of the respondents, their use of techniques of molecular biophysics, views on the current situation and needs in data formats standardisation and needs for repositories or databases. The data were collected using LimeSurvey technology. Anonymized raw dat, their processing and interpretation included in this dataset. The work was performed as part of the project MOlecular Scale Biophysics Research Infrastructure (MOSBRI).</p> <p> </p>
Ecological data for: Subsidy accessibility drives asymmetric food web responses
<p>Global change is fundamentally altering flows of natural and anthropogenic subsidies across space and time. After a pointed call for research on subsidies in the 1990s, an industry of empirical work has documented the ubiquitous role subsidies play in ecosystem structure, stability and function. Here, we argue that physical constraints (e.g., water temperature) and species traits can govern a species' accessibility to resource subsidies, which has been largely overlooked in the subsidy literature. We examined the input of a high quality, point-source anthropogenic subsidy (aquaculture feed) into a recipient freshwater lake food web. By using a combined bio-tracer approach, we detect a gradient in accessibility of the anthropogenic subsidy within the surrounding food web driven by the thermal preferences of three constituent species, effectively rewiring the recipient lake food web. Since aquaculture is predicted to increase significantly in coming decades to support growing human populations, and global change is altering temperature regimes, then this form of food web alteration may be expected to occur frequently. We argue that subsidy accessibility is a key characteristic of recipient food web interactions that must be considered when trying to understand the impacts of subsidies on ecosystem stability and function under continued global change.</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-2. Cable grasping. Data related to a paper published in IEEE Access 2021
<p>The datasets contain images for the training and testing of algorithms presented in the publication:</p> <p>Cirillo, P., Laudante, G., Pirozzi, S. “Vision-Based Robotic Solution for Wire Insertion with an Assigned Label Orientation” (2021) IEEE Access, 9, art. no. 9490630, pp. 102278-102289. DOI: 10.1109/ACCESS.2021.3098472</p>
Data from: The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles
<p>This is the raw data behind the publication: </p> <p><strong>The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.</strong></p> <p>Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license. We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.</p>
Open access in Africa: scopus citation data
<p>The following citation dataset was retrieved from Scopus in June 24, 2017 (3am, Western Indonesian time).</p> <p>It consists of 3 sets of data based on our searches. Each search was saved both in 'csv' and 'bib':</p> <ol> <li>OA_Africa_inTitle.xxx: "Open Access" AND Africa IN TITLE</li> <li>OA_Africa_inTitle_inAbstract_inKeywords.xxx: "Open Access" AND Africa IN TITLE, IN ABSTRACT, IN KEYWORDS</li> <li>OAmovement_Africa_inTitle_inAbstract_inKeywords.xxx: "Open Access movement" AND Africa IN TITLE, IN ABSTRACT, IN KEYWORDS</li> </ol> <p>The access to Scopus was provided by The Central Library of Institut Teknologi Bandung (Indonesia)</p>
Data from: Open access levels: a quantitative exploration using Web of Science and oaDOI data
<p>This is the raw data behind the publication (on PeerJ Preprints):</p> <p><strong>Open access levels: a quantitative exploration using Web of Science and oaDOI data</strong></p> <p>Across the world there is growing interest in open access publishing among researchers, institutions, funders and publishers alike. It is assumed that open access levels are growing, but hitherto the exact levels and patterns of open access have been hard to determine and detailed quantitative studies are scarce. Using newly available open access status data from oaDOI in Web of Science we are now able to explore year-on-year open access levels across research fields, languages, countries, institutions, funders and topics, and try to relate the resulting patterns to disciplinary, national and institutional contexts. With data from the oaDOI API we also look at the detailed breakdown of open access by types of gold open access (pure gold, hybrid and bronze), using universities in the Netherlands as an example. There is huge diversity in open access levels on all dimensions, with unexpected levels for e.g. Portuguese as language, Astronomy & Astrophysics as research field, countries like Tanzania, Peru and Latvia, and Zika as topic. We explore methodological issues and offer suggestions to improve conditions for tracking open access status of research output. Finally, we suggest potential future applications for research and policy development. We have shared all data and code openly.</p>
A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation
<h1>Description</h1> <p>This repository contains a comprehensive dataset focused on Parkinson's Disease. We provide data extracted via web scraping, along with metadata resulting from the extraction process using the NCBI API. The data pertains to the article titled 'A bibliometric study on Parkinson's Disease based on the open access data of the Michael J. Fox Foundation'.</p> <h2>Metadata Description</h2> <ul> <li> <h3>Analisys_MJFF_05_04_2024.xlsx</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>AU</td> <td>List of authors in abbreviated format.</td> <td>Text</td> </tr> <tr> <td>AF</td> <td>List of authors with full names.</td> <td>Text</td> </tr> <tr> <td>TI</td> <td>Full title of the article.</td> <td>Text</td> </tr> <tr> <td>SO</td> <td>Name of the journal or publication.</td> <td>Text</td> </tr> <tr> <td>SO_CO</td> <td>Country of origin of the publication.</td> <td>Text</td> </tr> <tr> <td>LA</td> <td>Language of the article.</td> <td>Text</td> </tr> <tr> <td>DT</td> <td>Type of document, such as "Journal Article".</td> <td>Text</td> </tr> <tr> <td>DE</td> <td>Keywords or descriptors associated with the article.</td> <td>Text</td> </tr> <tr> <td>MESH</td> <td>MeSH terms that describe the content of the article.</td> <td>Text</td> </tr> <tr> <td>DI</td> <td>Digital Object Identifier (DOI).</td> <td>Text</td> </tr> <tr> <td>PG</td> <td>Number of pages or page range.</td> <td>Numeric</td> </tr> <tr> <td>GRANT_ID</td> <td>Identification of funding, when available.</td> <td>Text</td> </tr> <tr> <td>GRANT_ORG</td> <td>Organization that provided the funding.</td> <td>Text</td> </tr> <tr> <td>UT, PMID</td> <td>Unique identifiers of the article.</td> <td>Numeric</td> </tr> <tr> <td>DB</td> <td>Name of the database where the article is indexed.</td> <td>Text</td> </tr> <tr> <td>AU_UN</td> <td>Information about the academic unit or institution of the authors.</td> <td>Text</td> </tr> </tbody> </table> <ul> <li> <h3>References_MJFF_v2_Final_Corrected.csv</h3> </li> </ul> <table> <tbody> <tr> <th>Field</th> <th>Description</th> <th>Data Type</th> </tr> </tbody> <tbody> <tr> <td>Title</td> <td>Name of the article or publication.</td> <td>Text</td> </tr> <tr> <td>Authors</td> <td>List of authors who contributed to the article.</td> <td>Text</td> </tr> <tr> <td>Journal Name</td> <td>Name of the journal or periodical where the article was published.</td> <td>Text</td> </tr> <tr> <td>Publisher</td> <td>Name of the publisher who published the article.</td> <td>Text</td> </tr> <tr> <td>Volume</td> <td>Volume number of the journal in which the article appears.</td> <td>Numeric or Text</td> </tr> <tr> <td>Edition Number</td> <td>Number of the edition of the journal in which the article is found.</td> <td>Numeric or Text</td> </tr> <tr> <td>Starting Page</td> <td>Number of the first page of the article in the publication.</td> <td>Numeric</td> </tr> <tr> <td>Ending Page</td> <td>Number of the last page of the article.</td> <td>Numeric</td> </tr> <tr> <td>Publication Date</td> <td>Date on which the article was published.</td> <td>Date</td> </tr> <tr> <td>Open Access Status</td> <td>Indicates whether the article is available in open access.</td> <td>Text</td> </tr> <tr> <td>License</td> <td>Type of license under which the article was published.</td> <td>Text</td> </tr> <tr> <td>DOI (Digital Object Identifier)</td> <td>Unique identifier for the article that provides a permanent link to the online access.</td> <td>Text</td> </tr> <tr> <td>OA Location URL</td> <td>Direct URL to the article, if available in open access.</td> <td>Text</td> </tr> <tr> <td>Citation Count</td> <td>Number of times the article has been cited by other publications.</td> <td>Numeric</td> </tr> </tbody> </table> <p> </p>
Open Access in Ukraine: characteristics and evolution from 2012 to 2021: supplementary data
<p>This dataset includes metadata for publications authored by researchers affiliated with Ukrainian research institutions and universities, gathered from Scopus, WoS, and Dimensions as of November 2022. Information on the papers' open access status, OA subtypes, publisher details and repository names was obtained from Unpaywall.</p>
Fig. 1 in Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data
Fig. 1 (a) Sp_ci_s d_scriptions p_r d_cad_ in s_l_ct_d major groups of organisms (bas_d on data _xtract_d from th_ Int_rnational Plant Nam_s Ind_x (https://www.ipni.org/) for plants, MycoBank (http://www. mycobank.org/) for fungi, Ind_x of Organism Nam_s (http://www. organismnam_s.com/) for ins_cts, and compil_d from various databas_s for v_rt_brat_s: Eschm_y_r Catalog for fish_s (https://www.calacad_my. org/sci_ntists/proj_cts/_schm_y_rs-catalog-of-fish_s), th_ Amphibian Sp_ci_s of th_ World for amphibians (http://r_s_arch.amnh.org/vz/ h_rp_tology/amphibia/), R_ptil_ Databas_ for r_ptil_s (http://www. r_ptil_-databas_.org/), Howard and Moor_ Databas_ (https://www. howardandmoor_.org/) for birds, and ASM Mammal Div_rsity Databas_ (https://mammaldiv_rsity.org/) for mammals, all acc_ss_d in April 2019. Not_ that data for fungi and v_rt_brat_s r_f_r to curr_ntly acc_pt_d sp_ci_s nam_s only wh_r_as ins_ct data also includ_ synonyms and subsp_ci_s, and contain data gaps for s_v_ral d_cad_s in th_ nin_t__nth c_ntury; for all taxa, th_ low valu_s obtain_d for th_ last
Survey on data access conditions for sensitive data - Raw Data and Documentation
<p>This Upload concerns the survey entitled “Survey on data access conditions for sensitive data” which was performed by The Dutch Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) and DANS, the Dutch national centre of expertise and repository for research data. The survey was launched in April 2024 and open until July 1st 2024. </p> <p>The goal of the survey was to gather additional information about access conditions and restrictions used by researchers using the DANS and ODISSEI services. The results of the survey can guide us to identify common conditions that should be included in a standardisation effort. Moreover, the results will improve the available guidance that DANS and ODISSEI can provide for their local research community. A comprehensive analysis of the survey and resulting recommendations will be published separately at a later point in time. </p> <p>This upload contains:</p> <ul> <li>a PDF with documentation of the survey, specifically the description and question text.</li> <li>an ODS spreadsheet with the raw data from the survey which was filled in by 46 participants. Please note that the survey was anonymous, no personal data of the respondents was collected. </li> </ul> <p>The survey was executed using EUSurvey (v1.5.3.1). EU Survey is open source and built by DG DIGIT and funded under the ISA, ISA2 and Digital Europe Programme (DIGITAL). EUSurvey is published under the EUPL licence and the source code is available from GitHub: https://github.com/EUSurvey.</p>
Books per Publisher: Data from the Directory of Open Access Books (DOAB)
<p>Quantitative information on publishers and published books from the Directory of Open Access Books (DOAB).</p>
Prototyping 3D Virtual Learning Environments with X3D-based Content and Visualization Tools-Figure 11. Online accessible repository of digital data on cultural heritage with X3D models (STARC Web Repository, 2017, © Copyright 2017, STARC, Cyprus Institute. Used with permission)
<p>Prototyping can also include the development of toolkits for automatic content generation simulator, but in the case of an architectural environment, the components are too complex to be automatically generated. Furniture elements or the learning artifacts (i.e. content created by learners) can be converted to be viewed in X3D compatible browsers or included in online galleries (Figure 11). After functional and 3D content prototyping, certain components of the virtual campus can be easily modified and adapted as needed.</p>
Open access data for 2-year percutaneous osseointegrated implants - A sheep model
<p>Percutaneous osseointegrated <strong>(OI)</strong> devices for amputees are metallic endoprostheses, surgically implanted into the residual bone that protrude through the skin, allowing attachment of an exoprosthetic. In contrast to standard socket-type systems, these percutaneous OI devices can provide an improved prosthetics attachment platform. However, bone adaptations, which include atrophy and/or hypertrophy along the extent of the host bone-endoprosthetic interface, are known clinical outcomes and are dependent upon the load transfer region of the device to the host bone. The goal of this study was to determine if a percutaneous OI device, designed with a porous coated distal region and a collar, could promote and maintain stable bone attachment. A total of eight, 18 to 24-month old, mixed-breed sheep were surgically implanted with a percutaneous OI device. For 24-months, animals were allowed to bear weight as tolerated and monitored for signs of bone remodelling. At necropsy, the endoprosthesis and the surrounding tissues were harvested, radiographically imaged, and histomorphometrically analyzed to determine the periprosthetic bone adaptation in five animals. Bone growth into the porous coating was achieved in all five animals. Serial radiographic data showed stress-shielding related bone adaptation based on the placement of the endoprosthetic stem. When collar placement achieved end-bearing against the transected bone, distal bone conservation/hypertrophy was observed. The results supported the use of distally porous coated percutaneous OI devices for distal load-transfer and host bone maintenance.</p>
The Politecnico di Torino rolling bearing test rig: description of the open-access data for vibration monitoring and diagnostics
<p>Accelerometric measurements from the rolling bearing test rig of the Dynamic and Identification Research Group (DIRG), Department of Mechanical and Aerospace Engineering, Politecnico di Torino.</p> <p>Goals:</p> <p> • Vibration Monitoring, Bearing Diagnostics, Damage detection, Damage localization, Damage classification, Damage assessment.</p> <p>Features:</p> <p> • high-speed spindle driving a hollow shaft supported by a couple of identical roller bearings B1 and B3. B1 is the bearing under analysis and features various damages.</p> <p> • two damage types (indentations on a roller and on the inner ring) and severities (0, 150, 250, 450 µm).</p> <p> • a central, larger roller bearing (B2) is loaded through a sledge generating a controlled radial force measured by a load cell.</p> <p> • lubrication is obtained by oil injection into the hollow shaft.</p> <p> • a K-type thermocouple is used to monitor the temperature (manually recorded).</p> <p> • two triaxial accelerometers are mounted on the supports of bearings B1 and B2.</p> <p>Dataset:</p> <p> • stationary acquisitions at different speed & load combinations (speed: 0, 100, 200, 300, 400, 500 Hz; load: 0, 1000, 1400, 1800 N).</p> <p> • endurance acquisitions of the bearing featuring the 450µm roller indentation. Monitoring of the damage evolution for about 230 hours under the same speed and load condition.</p> <p> </p> <p>The extended description of the dataset can be found in the attached pdf "Description and analysis of open access data" or in:</p> <p>A.P. Daga, A. Fasana, S. Marchesiello, L. Garibaldi, The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, Mechanical Systems and Signal Processing 120 (2019) 252–273. doi:10.1016/j.ymssp.2018.10.010.</p>
Galvanising the Open Access Community: A Study on the Impact of Plan S - Data and Code
<div> <div> <div> <div> <p>This repository contains the datasets and code underpinning <em>Chapter 3 "Counterfactual Impact Evaluation of Plan S"</em> of the report <em>"Galvanising the Open Access Community: A Study on the Impact of Plan S"</em> commissioned by the cOAlition S to scidecode science consulting.</p> <p>Two categories of files are part of this repository:</p> <p><strong>1. Datasets <br></strong></p> <p>The 21 CSV source files contain the subsets of publications funded by the funding agencies that are part of this study. These files have been provided by <em>OA.Works</em>, with whom scidecode has collaborated for the data collection process. Data sources and collection and processing workflows applied by <em>OA.Works</em> are described on their website and specifically at <a href="https://about.oa.report/docs/data">https://about.oa.report/docs/data</a>.</p> <p>The file "plan_s.dta" is the aggregated data file stored in the format ".dta", which can be accessed with <em>STATA </em>by default or with plenty of programming languages using the respective packages, e.g., <em>R</em> or <em>Python</em>. </p> <p><strong>2. Code files</strong></p> <p>The associated code files that have been used to process the data files are:</p> <pre> - data_prep_and_analysis_script.do<br> - coef_plots_script.R</pre> <p>The first file has been used to process the CSV data files above for data preparation and analysis purposes. Here, data aggregation and data preprocessing is executed. Furthermore, all statistical regressions for the ounterfactual impact evaluation are listed in this code file. The second code file "coef_plots_script.R" uses the computed results of the counterfactual impact evaluation to create the final graphic plots using the <em>ggplot2 </em>package.</p> <p>The first ".do" file has to be run in STATA, the second one (".R") requires the use of an integrated development environment for R. </p> Further Information are avilable in the final report and via the followng URLs:<br> <pre><a href="https://www.coalition-s.org/">https://www.coalition-s.org/</a> <a href="https://scidecode.com/">https://scidecode.com/</a> <a href="https://oa.works/">https://oa.works/</a> <a href="https://openalex.org/">https://openalex.org/</a><br><a href="https://sites.google.com/view/wbschmal">https://sites.google.com/view/wbschmal</a> </pre> </div> </div> </div> </div>
Data Access Made Easy: flexible, on the fly data standardization and processing (for research automatic weather stations)
<pre>Automatic Weather Stations (AWS) deployed in the context of research projects provide very valuable data thanks to the flexibility they offer in term of measured meteorological parameters, choice of sensors and quick deployment and redeployment. However this flexibility is a challenge in terms of metadata and data management. Traditional approaches based on networks of standard stations can not accommodate these needs and often no tools are available to manage these research AWS, leading to wasted data periods because of difficult data reuse, low reactivity in identifying potential measurement problems, and lack of metadata to document what happened. The Data Access Made Easy (DAME) effort is our answer to these challenges. At its core, it relies on the mature and flexible open source MeteoIO meteorological pre-processing library. It was originally developed as a flexible data processing engine for the needs of numerical models consuming meteorological data and further developed as a data standardization engine for the Global Cryosphere Watch (GCW) of the World Meteorological Organization (WMO). For each AWS, a single configuration file describes how to read and parse the data, defines a mapping between the available fields and a set of standardized names and provides relevant Attribute Conventions Dataset Discovery (ACDD) metadata fields, if necessary on a per input file basis. Low level data editing is also available, such as excluding a given sensor, swapping sensors or merging data from another AWS, for any given time period. Moreover an arbitrary number of filters can be applied on each meteorological parameter, restricted to specific time periods if required. This allows to describe the whole history of an AWS within a single configuration file and to deliver a single, consistent, standardized output file possibly spanning many years, many input data files and many changes both in format and available sensors. Finally, all configuration files are versionned in order to document their history. A web interface has been developed that allows data owners to manage the configuration files for their stations, refresh their data at regular intervals, inspect the data QA log files and allow on-demand data generation. The same interface allows other users to request data on-demand for any time period.<br><br>This presentation and software has received funding from the World Meteorological Organization under grant agreement No. 29539/2022-1.9 as well as the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101003472 (Arctic Passion). It has also been supported by the WSL/SLF over many years and projects.</pre>
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.