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13,276 results for “IT management”
Data on learning about green space management by upper secondary school students
<p>A workshop survey -dataset detailing how upper secondary school students learn about green space management.</p>
Dataset: Strauss et al. 2023 Sustainable soil management measures: a synthesis of stakeholder recommendations
<p>The provided dataset contains the used information for the scientific publication</p> <p>Strauss, V., Paul, C., Dönmez, C., Löbmann, M., & Helming, K. (2023). Sustainable soil management measures: a synthesis of stakeholder recommendations. <em>Agronomy for Sustainable Development</em>, <em>43</em>(1), 17</p> <p> </p> <p>Due to the assessment language, parts of the dataset are in German.</p> <p>Specifically, it contains:</p> <p>- Stakeholder documents (welche ausgewertet wurden) & Einteilung in Stakeholder Groups<br> - Erfassung der Aussagen & Kategorisierung<br> - Auswertung zur Longlist<br> - Ergebnisse der Farmer Survey</p>
Guideline for a FAIR Cultural Studies Research Data Management
<p>Dies ist die <strong>Datenpublikation</strong> (Ausgangsdateien, Abbildungen, Materialien zur Nachnutzung) für die NFDI4Culture Handreichung „Handreichung für ein FAIRes Management kulturwissenschaftlicher Forschungsdaten“.</p> <p>Die <strong>Online-Handreichung</strong> ist verfügbar unter <a href="https://nfdi4culture.de/go/E3625">https://nfdi4culture.de/go/E3625</a>.</p> <p>Als <strong>PDF</strong> ist diese Handreichung verfügbar unter <a href="https://doi.org/10.5281/zenodo.7716941">https://doi.org/10.5281/zenodo.7716941</a>.</p>
When the practice does not meet the theory: results from an Italian survey on the clini-cal and pathway management of inpatients with decompressive craniectomy or cranioplasty admitted to rehabilitation
<p>Cranioplasty (CP) is supposed to improve the functional outcome of severe acquired brain injury (sABI) patients with decompressive craniectomy (DC). However, ongoing controversies exist regarding its indications, optimum materials, timing, complications, and relationships with hydrocephalus (HC). For these reasons, an International Consensus Conference (ICC) on CP in traumatic brain injury (TBI) was held in June 2018 to issue some recommendations.</p> <p>AIM: To investigate cross-sectionally before the ICC the prevalence of DC/CP in sABI inpatients admitted to neurorehabilitation units in Italy; to assess the perception of Italian clinicians working in the sABI neurorehabilitation settings on the management of inpatients with DC/CP during their rehabilitation stay.</p> <p>DESIGN: Cross-sectional.</p> <p>SETTING AND POPULATION: Physiatrists or neurologists working in 38 Italian rehabilitation centers involved in the care of sABI, giving a pooled sample of 599 inpatients.</p> <p>METHODS: Survey questionnaire consisting of 21 closed-ended questions with multiple-choice answers. Sixteen questions regarded the respondents' opinions and experiences regarding the clinical and management aspects of patients. Survey data were collected via e-mail between April and May 2018.</p>
Data Management Training Clearinghouse Metadata and Collection Statistics Report
<p>This collection contains a snapshot of the learning resource metadata from ESIP's <a href="https://dmtclearinghouse.esipfed.org">Data management Training Clearinghouse</a> (DMTC) associated with the closeout (March 30, 2023) of the Institute of Museum and Library Services funded (Award Number: <a href="https://imls.gov/grants/awarded/lg-70-18-0092-18">LG-70-18-0092-18</a>) <em>Development of an Enhanced and Expanded Data Management Training Clearinghouse project.</em> The shared metadata are a snapshot associated with the final reporting date for the project, and the associated data report is also based upon the same data snapshot on the same date.</p> <p>The materials included in the collection consist of the following:</p> <ul> <li><strong>esip-dev-02.edacnm.org.json.zip</strong> - a zip archive containing the metadata for 587 published learning resources as of March 30, 2023. These metadata include all publicly available metadata elements for the published learning resources with the exception of the metadata elements containing individual email addresses (submitter and contact) to reduce the exposure of these data.</li> <li><strong>statistics.pdf</strong> - an automatically generated report summarizing information about the collection of materials in the DMTC Clearinghouse, including both published and unpublished learning resources. This report includes the numbers of published and unpublished resources through time; the number of learning resources within subject categories and detailed subject categories, the dates items assigned to each category were first added to the Clearinghouse, and the most recent data that items were added to that category; the distribution of learning resources across target audiences; and the frequency of keywords within the learning resource collection. This report is based on the metadata for published resourced included in this collection, <strong>and</strong> preliminary metadata for unpublished learning resources that are not included in the shared dataset. </li> </ul> <p>The metadata fields consist of the following:</p> <table> <thead> <tr> <th scope="col">Fieldname</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>abstract_data</td> <td>A brief synopsis or abstract about the learning resource</td> </tr> <tr> <td>abstract_format</td> <td>Declaration for how the abstract description will be represented.</td> </tr> <tr> <td>access_conditions</td> <td>Conditions upon which the resource can be accessed beyond cost, e.g., login required.</td> </tr> <tr> <td>access_cost</td> <td>Yes or No choice stating whether othere is a fee for access to or use of the resource.</td> </tr> <tr> <td>accessibililty_features_name</td> <td>Content features of the resource, such as accessible media, alternatives and supported enhancements for accessibility.</td> </tr> <tr> <td>accessibililty_summary</td> <td>A human-readable summary of specific accessibility features or deficiencies.</td> </tr> <tr> <td>author_names</td> <td>List of authors for a resource derived from the given/first and family/last names of the personal author fields by the system</td> </tr> <tr> <td>author_org<br> - name<br> - name_identifier<br> - name_identifier_type</td> <td> <p><br> - Name of organization authoring the learning resource.<br> - The unique identifier for the organization authoring the resource.<br> - The identifier scheme associated with the unique identifier for the organization authoring the resource.</p> </td> </tr> <tr> <td> <p>authors<br> - givenName<br> - familyName<br> - name_identifier<br> - name_identifier_type</p> </td> <td> <p><br> - Given or first name of person(s) authoring the resource.<br> - Last or family name of person(s) authoring the resource.<br> - The unique identifier for the person(s) authoring the resource.<br> - The identifier scheme associated with the unique identifier for the person(s) authoring the resource, e.g., ORCID.</p> </td> </tr> <tr> <td>citation</td> <td>Preferred Form of Citation.</td> </tr> <tr> <td>completion_time</td> <td>Intended Time to Complete</td> </tr> <tr> <td> <p>contact<br> - name<br> - org<br> - email</p> </td> <td> <p><br> - Name of person(s) who has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.<br> - Name of organization that has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.<br> - (excluded) Contact email address.</p> </td> </tr> <tr> <td>contributor_orgs<br> - name<br> - name_identifier<br> - name_identifier_type<br> - type</td> <td>- Name of organization that is a secondary contributor to the learningresource. A contributor can also be an individual person.<br> - The unique identifier for the organization contributing to the resource.<br> - The identifier scheme associated with the unique identifier for the organization contributing to the resource.<br> - Type of contribution to the resource made by an organization.</td> </tr> <tr> <td>contributors<br> - familyName<br> - givenName<br> - name_identifier<br> - name_identifier_type</td> <td> <p>- Last or family name of person(s) contributing to the resource.<br> - Given or first name of person(s) contributing to the resource.<br> - The unique identifier for the person(s) contributing to the resource.<br> - The identifier scheme associated with the unique identifier for the person(s) contributing to the resource, e.g., ORCID.</p> </td> </tr> <tr> <td> <p>contributors.type</p> </td> <td> <p>Type of contribution to the resource made by a person.</p> </td> </tr> <tr> <td>created</td> <td>The date on which the metadata record was first saved as part of the input workflow.</td> </tr> <tr> <td>creator</td> <td>The name of the person creating the MD record for a resource.</td> </tr> <tr> <td>credential_status</td> <td>Declaration of whether a credential is offered for comopletion of the resource.</td> </tr> <tr> <td> <p>ed_frameworks<br> - name<br> - description<br> - nodes.name</p> </td> <td>- The name of the educational framework to which the resource is aligned, if any. An educational framework is a structured description of educational concepts such as a shared curriculum, syllabus or set of learning objectives, or a vocabulary for describing some other aspect of education such as educational levels or reading ability.<br> - A description of one or more subcategories of an educational framework to which a resource is associated.<br> - The name of a subcategory of an educational framework to which a resource is associated.</td> </tr> <tr> <td>expertise_level</td> <td>The skill level targeted for the topic being taught.</td> </tr> <tr> <td>id</td> <td>Unique identifier for the MD record generated by the system in UUID format.</td> </tr> <tr> <td>keywords</td> <td>Important phrases or words used to describe the resource.</td> </tr> <tr> <td>language_primary</td> <td>Original language in which the learning resource being described is published or made available.</td> </tr> <tr> <td>languages_secondary</td> <td>Additional languages in which the resource is tranlated or made available, if any.</td> </tr> <tr> <td>license</td> <td>A license for use of that applies to the resource, typically indicated by URL.</td> </tr> <tr> <td>locator_data</td> <td>The identifier for the learning resource used as part of a citation, if available.</td> </tr> <tr> <td>locator_type</td> <td>Designation of citation locatorr type, e.g., DOI, ARK, Handle.</td> </tr> <tr> <td>lr_outcomes</td> <td>Descriptions of what knowledge, skills or abilities students should learn from the resource.</td> </tr> <tr> <td>lr_type</td> <td>A characteristic that describes the predominant type or kind of learning resource.</td> </tr> <tr> <td>media_type</td> <td>Media type of resource.</td> </tr> <tr> <td>modification_date</td> <td>System generated date and time when MD record is modified.</td> </tr> <tr> <td>notes</td> <td>MD Record Input Notes</td> </tr> <tr> <td>pub_status</td> <td>Status of metadata record within the system, i.e., in-process, in-review, pre-pub-review, deprecate-request, deprecated or published.</td> </tr> <tr> <td>published</td> <td>Date of first broadcast / publication.</td> </tr> <tr> <td>publisher</td> <td>The organization credited with publishing or broadcasting the resource.</td> </tr> <tr> <td>purpose</td> <td>The purpose of the resource in the context of education; e.g., instruction, professional education, assessment.</td> </tr> <tr> <td>rating</td> <td>The aggregation of input from all user assessments evaluating users' reaction to the learning resource following Kirkpatrick's model of training evaluation.</td> </tr> <tr> <td>ratings</td> <td>Inputs from users assessing each user's reaction to the learning resource following Kirkpatrick's model of training evaluation.</td> </tr> <tr> <td>resource_modification_date</td> <td>Date in which the resource has last been modified from the original published or broadcast version.</td> </tr> <tr> <td>status</td> <td>System generated publication status of the resource w/in the registry as a yes for published or no for not published.</td> </tr> <tr> <td>subject</td> <td>Subject domain(s) toward which the resource is targeted. There may be more than one value for this field.</td> </tr> <tr> <td>submitter_email</td> <td>(excluded) Email address of person who submitted the resource.</td> </tr> <tr> <td>submitter_name</td> <td>Submission Contact Person</td> </tr> <tr> <td>target_audience</td> <td>Audience(s) for which the resource is intended.</td> </tr> <tr> <td>title</td> <td>The name of the resource.</td> </tr> <tr> <td>url</td> <td>URL that resolves to a downloadable version of the learning resource or to a landing page for the resource that contains important contextual information including the direct resolvable link to the resource, if applicable.</td> </tr> <tr> <td>usage_info</td> <td>Descriptive information about using the resource, not addressed by the License information field.</td> </tr> <tr> <td>version</td> <td>The specific version of the resource, if declared.</td> </tr> </tbody> </table> <p> </p>
Site characterization, water balance modeling, and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States
<p>This dataset contains biotic and abiotic site characterization data and SOILWAT2 water balance model simulation outputs (two daily outputs: 1915-2011, 1980-2020) for 77 ponderosa pine forest sites in the southwestern United States. Data were collected in summer 2019 and summer 2021. Overviews of the sampling and modeling methodologies are detailed in the following publications:</p> <p>Pirtel NL, Bradford JB, Hubbard RM, Abella SR, Kolb TE, Litvak ME, Porter SL and Petrie MD. 2021. The aboveground and belowground growth characteristics of juvenile conifers in the southwestern United States, Ecosphere 12: e03839, doi:10.1002/ecs2.3839.</p> <p>Petrie MD, Hubbard RM, Bradford JB, Kolb TE, Moser WK, Noel A, Schlaepfer DR, Bowen MA, Fuller LR and Moser WK. 2023. Widespread regeneration failure in ponderosa pine forests of the southwestern United States, Forest Ecology and Management: in press.</p> <p> </p>
Code and data for: Modeling the interaction between salmon management and consumption by coastal brown bears
<p>Harvest management policy for species with strong trophic connections can reverberate through food webs and cause unintended consequences such as altering the abundance of a harvested species' predators or prey. Pacific salmon (<em>Oncorhynchus</em> spp.), a key food for many predators and an economically valuable harvested species, is generally managed for maximum sustained harvests without explicit consideration for the freshwater and terrestrial food webs which they support. The density of brown bear (<em>Ursus</em> <em>arctos</em>) populations in Alaska, USA is correlated with the amount of salmon they can access and consume, so it seems likely their populations are inadvertently affected by salmon management. We simulated the effect of salmon management policy on brown bears by customizing a general bear-salmon model using empirical data from three watersheds in southwest Kodiak, Alaska. Our goal was to quantify the effect of current salmon management policy (i.e., escapement goals and early/late run allocations) on salmon consumption by brown bears. Bears in the individually based model evaluated the value of each foraging site based on salmon abundance, salmon vulnerability, and competition with other bears and made movement decisions (among salmon spawning sites) accordingly. </p> <p>The two code files provided here contain the brown bear salmon simulation, the structure for setting and adjusting the parameters of the model, and two empirical datasets needed to run simulations.</p>
Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco Dataset
<p>Here you can find the official data used for the publication "Integration of Renewable Energy Sources into the Water-Energy-Food (WEF) Nexus – Modelling a Demand Side Management Approach and Application to a Microgrid Farm in Morocco"</p> <p>If you want to run the model, please update line 11 in the run.jl file, to select the dataset from the scenario you want to look at. It is also recommended to change the result path, to a directory that corresponts to the current model run in order to find the results files quicker.</p> <p> </p> <p>To create a new plot a file called newPlot.jl can be found, that already take care of most data handling, only lines 136 and 141 need to be changed, in order to read in the result files of the results you want to investigate.</p>
Cost Efficiency Assessment of Four Pressure Management Methods in Water Distribution Systems (WRENG-5984)
<p>EPANET_3-PMX input data files for Hadımköy Water Distribution System accessible from</p> <p><a href="https://github.com/MehmetMelihKosucu/EPANET_3-PMX/tree/v3.1.1">https://github.com/MehmetMelihKosucu/EPANET_3-PMX/tree/v3.1.1</a></p>
Figures for RAE Editorial 'What Teachers and Researchers in the Area of Business Management Need to Know About Open Science'
<pre>This set of figures is related to an Editorial dedicated to Open Science, published by <a href="https://bibliotecadigital.fgv.br/ojs/index.php/rae/index">Revista de Administração de Empresas (RAE)</a>: </pre>
Data for: Wolverine density distribution reflects past persecution and current management in Scandinavia
<p>After centuries of intense persecution, several large carnivore species in Europe and North America have experienced a rebound. Today's spatial configuration of large carnivore populations has likely arisen from the interplay between their ecological traits and current environmental conditions, but also from their history of persecution and protection. Yet, due to the challenge of studying population-level phenomena, we are rarely able to disentangle and quantify the influence of past and present factors driving the spatial distribution and density of these controversial species. Using spatial capture-recapture models and a data set of 742 genetically identified wolverines <em>Gulo gulo</em> collected over ½ million km<sup>2</sup> across their entire range in Norway and Sweden, we identify landscape-level factors explaining the current population density of wolverines in the Scandinavian Peninsula. Distance from the relict range along the Swedish-Norwegian border, where the wolverine population survived a long history of persecution, remains a key determinant of wolverine density today. However, regional differences in management and environmental conditions also played an important role in shaping spatial patterns in present-day wolverine density. Specifically, we found evidence of slower recolonization in areas that had set lower wolverine population goals in terms of the desired number of annual reproductions. Management of transboundary large carnivore populations at biologically relevant scales may be inhibited by administrative fragmentation. Yet, as our study shows, population-level monitoring is an achievable prerequisite for a comprehensive understanding of the distribution and density of large carnivores across an increasingly anthropogenic landscape.</p>
Assessment of Capacity of the primary Health System in the management of noncommunicable Diseases in Ghana
<p>This questionnaire was used to assess the capacity of primary health system in the management of NCDs</p>
Data for: Coupling dynamic energy budget and population dynamic models to inform stock enhancement in fisheries management
<p><span>Extensive applications of fishery stock enhancement worldwide bring up broad concerns about its negative effects, creating a pivotal need for science-based assessment and planning of enhancement strategies. However, the lack of mechanistic understanding of enhanced population dynamics, particularly the density-dependent processes, leads to compromise in model development and limits the capacity in predicting enhancement effects. Here, we developed an individual-based model based on dynamic energy budget theory and full life history processes, to understand the mechanism of density dependence in population dynamics that emerge from individual-level processes. We demonstrated the utility of the model framework by applying it </span><span>to an extensively enhanced species, Chinese prawn (<em>Fenneropenaeus chinensis</em></span><span>, Penaeidae</span><span>). The model could yield projections reflecting the observed trajectory of population biomass and yields. The model also delineated the key effects of density dependence on the vital rates of growth, fecundity, and starvation mortality. Regarding the manifold effects of stock enhancement, we demonstrated a dampened shape in population biomass and yields with increasing magnitude of enhancement, and trade-offs between the ecological and economic objectives, i.e., pursuing high benefit might compromise the wild population without proper management. Furthermore, we illustrated the possibility of combining stock enhancement and harvest regulation in promoting population recovery while maintaining fisheries yields. We highlight the potential of the proposed model for understanding density dependence in enhancement program, and for designing integrated management strategies. The approach developed herein may serve as a general approach to assess the population dynamics in stock enhancement and inform enhancement management.</span><span> </span></p>
HEMStoEC: Home Energy Management Systems to Energy Communities DataSet
<p>The building sector is responsible for about 1/3 of all final energy consumed in the world. It is also responsible for about 30 % of CO<sup>2</sup> emissions from the end-use sector when accounting for indirect emissions from the use of electricity and heat in buildings. Focusing on EU, the use of electricity to satisfy the loads of lighting and most electrical appliances represents about 14.5 % of the energy consumed in residential sector, excluding heating and cooling systems, and 24.8 % including the latter. Therefore, we are in the presence of a sector that has a significant weight in the final energy consumption figures. Thus, innovative energy initiatives should contribute towards reducing energy consumption, reducing the effects on the climate, and achieving greater energy efficiency. These initiatives begin to emerge to a certain extent from small consumers, as they become more aware of environmental issues, either isolated or grouped in an energy community, where generated or stored energy is shared between stakeholders. In addition, energy markets go through a transition period and begin to give way, recognize, and promote the emerging role of prosumers (producers+consumers).</p> <p>It is within this context that this dataset is introduced. It allows, for a single prosumer, to:</p> <ol> <li>Test and validate different control strategies for home energy management systems;</li> <li>Design forecasting energy consumption models;</li> <li>Design forecasting PV energy generation models;</li> <li>Test and validate different non-invasive load monitoring (NILM) algorithms;</li> <li>Design forecasting thermal comfort models, as well as test and validate control strategies for Heating, Ventilation and Air Conditioning (HVAC) systems.</li> </ol> <p>Additionally, for a community of 4 houses, it allows to:</p> <ol> <li>Test and validate different control strategies for the community energy management system;</li> <li>Design forecasting community energy consumption models;</li> <li>Test and validate transfer learning strategies for NILM.</li> </ol> <p>The data, spanning more than three years, is stored in Matlab -v7 format, . This allows to be read by other languages, such as python.</p>
Dataset of AI4ER MRes titled "Improving Urban Tree Management Using High-Resolution Satellite Data"
<p>This repository contains the data used in the Master's thesis titled "Improving Urban Tree Management Using High-Resolution Satellite Data" by Andrés C. Zúñiga-González as part of the AI4ER MRes 1st year project at the University of Cambridge.</p> <p>The folders are split into large and small training and testing datasets. These folders contain the tiles (in png and tif formats) used in the models. In addition, it includes the crowns in ESRI Shapefile format for the training and testing datasets. Finally, it contains the best model from the project (named urban_trees_Cambridge_20230630.pth).</p>
Questionnaire on the current status of Research Data Management in Mecklenburg-Vorpommern
<p>This dataset contains the questionnaires used in order to survey the current status of research data management in Mecklenburg-Vorpommern (MV). One questionnaire was used for the University of Rostock (<em>FDM_in_VREs_UR</em>) while the other was used for all other research institutes in MV. While the survey was conducted online, this dataset contains a PDF export as well as the Evasys questionnaire export which was used to conduct the online survey. Note that the PDF version does not cover the filter functionality which was used in the Evasys online survey.</p>
Developing circularity, renewability and efficiency indicators for sustainable resource management : propanol production as a showcase
<p>The data used for the exergy calculations in the associated article.</p>
Data and code: Assessing fish-fishery dynamics from a spatially explicit metapopulation perspective reveals winners and losers in fisheries management
<ol> <li><span>Sustainable management of living resources must reconcile biodiversity conservation and socioeconomic viability of human activities. In the case of fisheries, sustainable management design is made challenging by the complex spatiotemporal interactions between fish and fisheries.</span></li> <li><span>We develop a comprehensive metapopulation framework integrating data on species life-history traits, connectivity and habitat distribution to identify priority areas for fishing regulation and assess how management impacts are spatially distributed. We trial this approach on European hake fisheries in the north-western Mediterranean, where we assess area-based management scenarios in terms of stock status and fishery productivity to prioritize areas for protection. </span></li> <li><span>Model simulations show that local fishery closures have the potential to enhance both spawning stock biomass and landings on a regional scale compared to a status quo scenario, but that improving protection is easier than increasing productivity. Moreover, the interaction between metapopulation dynamics and the redistribution of fishing effort following local closures implies that benefits and drawbacks are heterogeneously distributed in space, the former being concentrated in the proximity of the protected site. </span></li> <li><span>A network analysis shows that priority areas for protection are those with the highest connectivity (as expressed by network metrics) if the objective is to improve the spawning stock, while no significant relationship emerges between connectivity and potential for increased landings.</span></li> <li> <span><em>Synthesis and applications</em> – </span><span>Our framework provides a tool for 1) assessing area-based management measures aimed at improving fisheries outcomes in terms of both conservation and socioeconomic viability and 2) describing the spatial distribution of costs and benefits, which can help guide effective management and gain stakeholder support. Adult dispersal remains the main source of uncertainty that needs to be investigated to effectively apply our model to fisheries regulation.</span> </li> </ol>
Behaviour data rhino conspecific playbacks as a post-translocation management tool
<p>Raw data file for the publication "Assessing the potential of conspecific playbacks as a post-translocation management tool for white rhinoceros"</p>
Figure 1 in Oviposition of Quesada gigas in weed no hostess: implication in pest management
Figure 1 - Oviposition of Quesada gigas in weed Conyza spp. A. Eggs nests into side branch B. Eggs with fusiform format and white milky color.
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.