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2,672 results for “services”
Point, polygon, or marker? In search of the best geographic entity for mapping Cultural Ecosystem Services using the online PPGIS tool, "My Green Place."
<p>Excel files include the raw database and the processed data that led to the quadrat analyses. The "Matrix_raw data" file includes the raw data as downloaded from the server. This data was cleaned and organized for its posterior use. "Quadrat analyzes "file includes all the quadrat analyses resulting in each research question in the paper except question four. Question 4 can be seen in the file "Water analysis_Blaarmeersen." All excel files come with a "CODE" tab that describes each of the codes used, their meaning, and ways that were calculated where necessary. Two zip files include all the GIS files. The first one includes the GIS files from which "Matrix_raw data" was built from. The second folder includes the resulting maps from the quadrat analyses. In order to visualize them as in the paper, configure the symbology tab at the GIS software in quantile and the categories number, as shown in the paper.</p> <p>The production of the files in the "GIS_Processed data" folder was done via a repetitive line of commands in ArcGIS pro. The same process was followed for each one of the quadrat analysis described in the paper. Refer to "<a href="https://zenodo.org/api/files/72403e0b-78a9-4bbf-8dca-ed9b8702e3ae/Reproduction%20commands%20and%20parameters.pdf">Reproduction commands and parameters.pdf</a>" for further information.</p>
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Shein Discount Coupon : Dial Customer Service for more details
<p>3x Author | Viral Writer | Technician| Solve Your shopping site related problems</p> <p>However, <strong><a href="https://www.setupyouraccounts.com/shein-customer-service/">Shein Customer Service</a></strong> works with pristine business models. Regardless of this, the plank maintain dynamic methodology to the fulfillment and comfort of the guests. It essentially signifies each guest never adapt on terms that are unsuitable. Occupied and time cognizant individuals feel profoundly happy to know our mentally supportive system never stop seven amid the dull hours. Because of nonstop accessibility, they can contact assign any-time of time. This accommodation makes them concentrate more on significant industry objectives and appreciate ideal dimension of solace.<br> </p>
Service providers pre and post-questionnaires of the 1st and 2nd iteration phase
<p>The dataset contains information on the pre- and post-questionnaires of the service providers of the first and second evaluation period. Each spreadsheet indicates the source of the data (pre or post). The questions are related to the background of the respondents, previous experience, constraints, the service registration tool use and performance, the use of its supportive documentation, learnability, sustainability and maintainability, installability, changeability, effort and usability. Respondents were also asked about the potential of MyCorridor. The column pilot_round (Column CK) indicates whether the questionnaires were completed in the first or second pilot evaluation round.</p>
9 Services Quality Electrical Projects Can Do For You
<p>Quality Electrical Projects can provide a lot of professional electrical services to all our clients in Brisbane and its nearby areas. On top of that, we have very capable <a href="https://www.qualityelectricalprojects.com/24hr-emergency-service">emergency electrician Brisbane</a> professionals to handle all your electrical needs. #EmergencyElectricianBrisbane</p> <p> </p>
QD-AMVA: Evaluating Systems with Queue-Dependent Service Requirements - Data
<p>The data part of this release support the results <br /> presented in the paper <br /> "QD-AMVA: Evaluating Systems with Queue-Dependent Service<br /> Requirements", by G. Casale, J. F. Perez, and W. Wang, accepted <br /> to IFIP Performance 2015. </p> <p>When referring to the dataset or scripts please cite the paper above. </p> <p>The scripts released with the above paper can be found at https://zenodo.org/record/18887</p> <p> </p>
Combining internal and external motivations in multi-actor governance arrangements for biodiversity and ecosystem services
<p>These files provide the original survey data of the paper on motivations for biodiversity conservation in Europe. This paper analyses the possibility of building a mutually supportive dynamics between internally and<br /> externally motivated behaviour for biodiversity conservation and ecosystem services provision. To this<br /> purpose a face to face survey amongst 169 key actors of 34 highly successful and prominent biodiversity<br /> arrangements in seven EU countries was conducted. The main<br /> finding of the paper is the feasibility of<br /> combining inherently intrinsically motivated behaviours (providing enjoyment, pleasure from<br /> experimentation and learning, aesthetic satisfaction) and internalized extrinsic motivations (related<br /> to the identification with the collective goals of conservation policy) through a common set of governance<br /> features. Successful initiatives that combine internal and external motivations share the following<br /> features: inclusive decision making processes, a broad monitoring by “peers” beyond the core staff of the<br /> initiatives, and a context that is supportive for the building of autonomous actor competences. These<br /> findings are in line with the psycho-sociological theory of motivation, which shows the importance of a<br /> psycho-social context leading to a subjective perception of autonomy and a sense of competence of the<br /> actors.</p>
Example Instantiations of the e-Infrastructure Catalogue of Services [vsn02]
<p>This document contains updated example instantiations of the e-Infrastructure Catalogue of Services. This supports a published framework for creating a Catalogue of Services (CoS), primarily intended for e-Infrastructure services, which describes services at a high level and makes them discoverable.</p>
A Questionnaire to Assess the Research Practices and Services Related to the Academic and Research Staff at the Institutions of Higher Education in Palestine - Survey Data
<p>Data generated as part of a needs assessment survey conducted as part of ROMOR, a project funded by the Erasmus Plus Programme of the European Union in the period from October 2016 to October 2019. A questionnaire was prepared under the supervision of Palestinian Universities participating in the project. The results of the study will be used to create and develop institutional repositories to store the digital outputs of scientific research at the institutions of higher education in Palestine. The results will be also used to provide the vocational and academic training, and the institutional policies required to manage, organize the use, and populate the prospective repositories. This objective will contribute in promoting the access to and benefit of the results of scientific research in Palestine, and increase its impact at the local and international levels. This questionnaire was distributed to the representative of each institution, who in turn forwarded it to the suitable persons in the institution. Data was collected between January 4th and February 19th 2017. Paper and electronic versions of a questionnaire were prepared in both Arabic and English. The project coordinators at partner PS HEIs were requested to circulate the electronic questionnaire to all researchers and members of academic staff. Data was collected by ROMOR partners at:</p> ● The Islamic University of Gaza (IUG) ● Al-Quds Open University (QOU) ● Birzeit University (BZU) ● Palestine Technical University-Kadoori (KAD)
A Questionnaire to Assess the Research Practices and Services Related to the Academic and Research Staff at the Institutions of Higher Education in Palestine - Survey Data with Pie Charts
<p>Data generated as part of a needs assessment survey conducted as part of ROMOR, a project funded by the Erasmus Plus Programme of the European Union in the period from October 2016 to October 2019. A questionnaire was prepared under the supervision of Palestinian Universities participating in the project. The results of the study will be used to create and develop institutional repositories to store the digital outputs of scientific research at the institutions of higher education in Palestine. The results will be also used to provide the vocational and academic training, and the institutional policies required to manage, organize the use, and populate the prospective repositories. This objective will contribute in promoting the access to and benefit of the results of scientific research in Palestine, and increase its impact at the local and international levels. This questionnaire was distributed to the representative of each institution, who in turn forwarded it to the suitable persons in the institution. Data was collected between January 4th and February 19th 2017. Paper and electronic versions of a questionnaire were prepared in both Arabic and English. The project coordinators at partner PS HEIs were requested to circulate the electronic questionnaire to all researchers and members of academic staff. Data was collected by ROMOR partners at:</p> <p>● The Islamic University of Gaza (IUG)</p> <p>● Al-Quds Open University (QOU)</p> <p>● Birzeit University (BZU)</p> <p>● Palestine Technical University-Kadoori (KAD)</p> <p>[Data visualised as pie charts]</p> <p> </p>
Explaining non-adoption of electronic government services by citizens. A study among non-users of public e-services in Latvia
<p>This data was collected as part of the H2020 Citadel project, http://www.citadel-h2020.eu, project no. 726755. The objective was to analyse citizen motives for not using electronic government services. Using interviews among users of Citizens´ Service Centres in Latvia, the data is used to analyses the motives of citizens not to use electronic government services but to rely on non-electronic equivalents or on in-person assistance. Findings and fieldwork details are available in D2.1 of this project.</p>
EAST-WEST and VERTICAL deformation maps of Alto Tiberina Fault supersite: The Post-Proc service in Geohazard Exploitation Platform applied to Sentinel-1 dataset
<p>In the framework of the ESA funded project “MEMpHIS - Multi Scale and Multi Hazard Mapping Space based Solutions ”, the Istituto Nazionale di Geofisica e Vulcanologia (INGV) together with TRE-ALTAMIRA, generated the EAST-WEST and VERTICAL deformation maps of Alto Tiberina Fault supersite. The two maps of ground velocity were derived thanks to the adoption of a specific tool named "Post-Proc", implemented in MEMPHIS and with the support of Terradue, that is able to automatically re-project on the east-west and vertical directions the ascending and descending InSAR time series. In particular, the output refers to the deformation maps calculated by processing with SqueeSAR (TM) method, a large dataset acquired by the ESA Sentinel-1 mission.</p> <p>The Post-Proc tool also calculates the mean accelerations associated to each persistent scatterer in the scenes. Some additional features are also available from this tool:</p> <p>- Change the coherence threshold for selecting a subset of persistent scatterers</p> <p>- Activate a geometrical distortion filter to take into account the layover and foreshortening effects</p> <p>- Change the reference point (position and coherence)</p> <p>- Choose between two types of accelerations: 2<sup>nd</sup> order model or velocity derivative</p> <p>- Choose among three different projection: east-west, vertical, and downslope.</p> <p>The present dataset is composed of the EAST-WEST and VERTICAL acceleration maps. The data are in shapefile format: for each record (PS) the topography, velocity, acceleration, and InSAR coherence is reported.</p>
World Map of Agricultural Robot Manufacturer & services
<p>This Data Base is a World Map of all the manufacturers of agricultural robot for field. this data base was created by 3 student of the University of UniLaSalle Beauvais. You can fin the LINK of the GOOGLE EARTH "only reading" on the PDF document.</p>
Supply of and demand for forest ecosystem services (including various GIS forest descriptors)
<p>This data-set shows distribution of supply of and demand for forest ecosystem services (total of 11) across Europe. Various descriptors of forests are included, including location embeddings. All data is a raster on 1 x 1 km spatial resolution. Detailed description is presented in the Metadata & Data description file. Associated code for is available at https://github.com/marcuslovricus/FES_supply_demand</p>
Europe-wide public preferences for plankton-based ecosystem services and marine biodiversity from a series of Deliberative Monetary Valuation workshops
<p>The data were collected as part of the Horizon Europe project BIOcean5D – Marine Biodiversity Assessment and Prediction Across Spatial, Temporal and Human Scales. The aim of the study was to elicit public preferences for marine biodiversity and ecosystem services, with a particular focus on plankton. This dataset comprises responses from a series of Deliberative Monetary Valuation workshops held across Europe, along with the corresponding supplementary material. The responses encompass a range of data, including socio-demographic information, personal characteristics, beliefs, prior knowledge, preferences derived from a Discrete Choice Experiment, and the associated motivations of each respondent. In total, 15 workshops were conducted between October 2023 and February 2024 in the following locations: Poland (Poznan and Sopot), Italy (Padova and Chioggia), the Basque Country (Vitoria-Gasteiz and Bilbao), Germany (Bremerhaven and Hannover), and France (Rennes and Brest).</p>
Importance rating of various operational aspects related to repair service processes
<h3>Contextual information</h3><p>The survey considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. This allowed to split the sample into four groups, each of it referring to a different portable product to be repaired (bicycle, smartphone, vacuum cleaner and a generic product) in order to examine the generalisability of the results.</p><p>The survey is based on items related to repair operations and provides data concerning the importance of the different items. It considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. The operational aspects concern three different stages of the repair process that can be influenced by the repair company: the prepurchase, service encounter, and post-encounter stage. Furthermore, socio-demographic data is included.</p><h3>Description of the data and file structure</h3><p>The dataset contains 107 aspects identified for potential improvement of repair operations. The importance of operational aspects was rated by survey participants on a 7-point Likert scale (extremely important to not at all important). Three additional questions for quality control (e.g., 'Please tick 1 = extremely important') tested the attention of the participants. </p><p>File 'Translation_of_items.ods' contains the items in German (original version) and English (translated). File 'Description_of_Data.ods' contains a description of the variables.</p><ul><li>We removed all answers with completion time of less than five minutes, as the pre-test showed that this was the minimum time for a focused completion of the survey.</li><li>All data rows with wrongly answered control questions were removed.</li></ul>
Data for: Effective population size mediates the impact of pollination services on pollen limitation
<p>Inadequate pollen receipt limits flowering plant reproduction worldwide. Ecological causes of pollen limitation ('PL'), like pollinator scarcity and low plant abundance, have been a primary focus of research. The genetic diversity of plant populations could impact both quantity and quality components of PL in concert with ecological factors, yet empirical examples are lacking. We evaluated joint effects of ecological factors (flower abundance, pollinator visitation) and genetic effective population size (N<sub>E</sub>) on PL across 13 populations of a common herb. We used a histological approach with 5504 styles from 1137 flowers to separate quantity and quality components of PL, and link these to reproductive output. N<sub>E</sub> and pollinator visitation interacted to shape PL, but N<sub>E</sub> had stronger direct effects. Effectively smaller populations experienced stronger quantity PL, and controlled crosses in a pollinator-free environment revealed that pollen quantity was an intrinsic population-level attribute that increased with N<sub>E</sub>. Pollinator visitation enhanced pollen quality, but only in effectively larger populations. Quantity and quality PL negatively impacted fruit and seed set, respectively.<em> </em>Results highlight that PL is dictated by plant population genetic diversity in addition to commonly evaluated ecological factors.<strong> </strong>Efforts to support pollinators will only enhance plant reproduction in genetically diverse plant populations.</p>
CESNET-TLS22: A large dataset for fine-grained classification of TLS services
<p><strong>Please refer to the original article for further data description:</strong> Jan Luxemburk et al. Fine-grained TLS services classification with reject option, Computer Networks, 2023, 109467, ISSN 1389-1286, <a href="https://doi.org/10.1016/j.comnet.2022.109467">https://doi.org/10.1016/j.comnet.2022.109467</a></p> <p><strong>We recommend using the</strong> <strong>CESNET DataZoo python library, which facilitates the work with large network traffic datasets. </strong>More information about the DataZoo project can be found in the GitHub repository <a href="https://github.com/CESNET/cesnet-datazoo">https://github.com/CESNET/cesnet-datazoo</a>.</p> <p>The recent success and proliferation of machine learning and deep learning have provided powerful tools, which are also utilized for encrypted traffic analysis, classification, and threat detection. These methods, neural networks in particular, are often complex and require a huge corpus of training data. Moreover, because most of the network traffic is being encrypted, the traditional deep-packet-inspecting (DPI) solutions are becoming obsolete, and there is an urgent need for modern classification methods capable of analyzing encrypted traffic. These methods have to forgo the packet's opaque payload and focus on flow statistics and packet metadata sequences like packet sizes, directions, and inter-arrival times. The classification can be further extended with the task of "rejecting" unknown traffic, i.e., the traffic not seen during the training phase. This makes the problem more challenging, and neural networks offer superior performance for tackling this problem.<strong> When the factors of (1) the hardness of classification of encrypted traffic with unknown traffic detection and (2) the neural networks' inherent need for large datasets are combined, the requirement for a rich, large, and up-to-date dataset is even stronger.</strong></p> <p>Therefore, we created a large dataset spanning two weeks, consisting of 141 million network flows, and having 191 fine-grained service labels. The dataset is intended as a benchmark for the task of identification of services in encrypted traffic with the detection of unknown services.</p> <p><strong>Data capture</strong> The data was captured in the flow monitoring infrastructure of the <a href="https://www.cesnet.cz">CESNET2</a> network. The capturing was done for two weeks between 4.10.2021 and 17.10.2021. The following table provides per-week flow count, capture period, and uncompressed size:</p> <ul> <li><strong>W-2021-40</strong> <ul> <li>Uncompressed Size: 22 GB</li> <li>Capture Period: 4.10.2021 - 10.10.2021</li> <li>Flows: 73.2M</li> </ul> </li> <li><strong>W-2021-41</strong> <ul> <li>Uncompressed Size: 20 GB</li> <li>Capture Period: 11.10.2021 - 17.10.2021</li> <li>Flows: 68.5M</li> </ul> </li> <li><strong>CESNET-TLS22</strong> <ul> <li>Uncompressed Size: 42 GB</li> <li>Capture Period: 4.10.2021 - 17.10.2021</li> <li>Flows: 141.7M</li> </ul> </li> </ul> <p><strong>Dataset structure</strong> The dataset flows are delivered in compressed CSV files, which contain one flow per row. For each flow data file, there is a JSON file with the number of saved flows per service. There is also the <em>stats-week.json</em> file aggregating flow counts of a whole week and the <em>stats-dataset.json</em> file aggregating flow counts for the entire dataset. The mapping between services and service providers is provided in the <em>servicemap.csv</em> file, which also includes SNI domains used for ground truth labeling. The following table describes flow data fields in CSV files:</p> <ul> <li><strong>ID:</strong> Unique identifier</li> <li><strong>BYTES:</strong> Number of transmitted bytes from client to server</li> <li><strong>BYTES_REV:</strong> Number of transmitted bytes from server to client</li> <li><strong>PACKETS:</strong> Number of packets transmitted from client to server</li> <li><strong>PACKETS_REV:</strong> Number of packets transmitted from server to client</li> <li><strong>DURATION:</strong> Duration of the flow in seconds</li> <li><strong>PPI:</strong> Packet metadata sequence in the format: [[inter-packet times], [packet directions], [packet sizes]]</li> <li><strong>PPI_LEN:</strong> Number of packets in the PPI sequence</li> <li><strong>PPI_DURATION:</strong> Duration of the PPI sequence in seconds</li> <li><strong>PPI_ROUNDTRIPS:</strong> Number of roundtrips in the PPI sequence</li> <li><strong>APP:</strong> Web service label</li> <li><strong>CATEGORY:</strong> Service category</li> <li><strong>TCP_FLAGS:</strong> TCP flags sent from client to server</li> <li><strong>TCP_FLAGS_REV:</strong> TCP flags sent from server to client</li> <li><strong>FLAG_CWR:</strong> Presence of the CWR flag</li> <li><strong>FLAG_CWR_REV:</strong> Presence of the CWR flag in the reverse direction</li> <li><strong>FLAG_ECE:</strong> Presence of the ECE flag</li> <li><strong>FLAG_ECE_REV:</strong> Presence of the ECE flag in the reverse direction</li> <li><strong>FLAG_URG:</strong> Presence of the URG flag</li> <li><strong>FLAG_URG_REV:</strong> Presence of the URG flag in the reverse direction</li> <li><strong>FLAG_ACK:</strong> Presence of the ACK flag</li> <li><strong>FLAG_ACK_REV:</strong> Presence of the ACK flag in the reverse direction</li> <li><strong>FLAG_PSH:</strong> Presence of the PSH flag</li> <li><strong>FLAG_PSH_REV:</strong> Presence of the PSH flag in the reverse direction</li> <li><strong>FLAG_RST:</strong> Presence of the RST flag</li> <li><strong>FLAG_RST_REV:</strong> Presence of the RST flag in the reverse direction</li> <li><strong>FLAG_SYN:</strong> Presence of the SYN flag</li> <li><strong>FLAG_SYN_REV:</strong> Presence of the SYN flag in the reverse direction</li> <li><strong>FLAG_FIN:</strong> Presence of the FIN flag</li> <li><strong>FLAG_FIN_REV:</strong> Presence of the FIN flag in the reverse direction</li> </ul> <p><strong>Link to other CESNET datasets</strong></p> <ul> <li><a href="https://www.liberouter.org/technology-v2/tools-services-datasets/datasets/">https://www.liberouter.org/technology-v2/tools-services-datasets/datasets/</a></li> <li><a href="https://github.com/CESNET/cesnet-datazoo">https://github.com/CESNET/cesnet-datazoo</a></li> </ul> <p><strong>Please cite the original article:</strong></p> <blockquote> <p>@article{luxemburk_fine-grained-tls_2023, author = {Jan Luxemburk and Tomáš Čejka}, title = {Fine-grained TLS services classification with reject option}, journal = {Computer Networks}, volume = {220}, pages = {109467}, year = {2023}, issn = {1389-1286}, doi = {https://doi.org/10.1016/j.comnet.2022.109467}, url = {https://www.sciencedirect.com/science/article/pii/S1389128622005011} }</p> </blockquote>
The AFFECT-HRI data set: physiological data for affective computing in human-robot interaction with anthropomorphic service robots
<p>We provide a comprehensive data set <strong>AFFECT-HRI </strong>containing physiological data labeled with human affect (i.e., mood and emotion) gathered during an empirical study consisting of a complex human-robot interaction (HRI). A realistic retail scenario served as an experimental environment. In prior research, we showed the necessity to combine the expertise of the research fields of psychology, computer science, and law in the design of a responsible human-centered HRI. Therefore, we implemented five conditions (neutral, transparency, liability, moral, and immoral) covering the perspectives from these three research fields and used two different anthropomorphic service robots. Our study followed a multi-method approach, resulting in a data set containing and combining objective physiological sensor data with subjective human-affect assessments. Additionally, the data set includes insights from 146 participants regarding affect, demographics, and socio-technical questionnaire ratings, as well as robot gestures and robot speech. Our study can be split into three scenes: a consultation regarding products, a request for sensitive personal information while opening a customer account, and a successful or failing handover when buying a mold remover. Thus, this data set offers for the first time the possibility to prove established or develop new emotion recognition methods and technological capabilities for HRI. Further, our data set provides the possibility to combine affective computing with research about robot behavior (gestures, speech, and handover), liability (questionnaire), transparency (questionnaire), and psychological aspects, allowing an encompassing, human-centered view of HRI.</p> <p>The detailed data descriptor has been published in Nature Scientific Data. For more details on the data set, please check the paper below.</p> <p><strong>Please cite the following paper if the dataset is used in a publication:</strong><br>Heinisch, J.S., Kirchhoff, J., Busch, P. <em>et al.</em> Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set. <em>Sci Data</em> <strong>11</strong>, 333 (2024). https://doi.org/10.1038/s41597-024-03128-z</p> <p><strong>Acknowledgements</strong><br>This research was conducted as part of RoboTrust, a project of the Centre Responsible Digitality, supported by the Hessian Minister for Digital Strategy and Innovation. The authors would like to thank all participants for their participation in the study. We particularly want to thank Ruth Stock-Homburg for her support and for making Elenoide available. Further, we want to thank Mona Kegel, Vignesh Prasad, and all the research assistants who supported the study. We also thank the leap in time lab for serving as study location. A special thanks goes to Amer Altizini, who supported us by helping to prepare the data for publication. We want to thank Niklas Jungermann for his valuable comments on the statistical evaluation.</p>
Raw data for publication: Bioinspired Living Coating System for Wood Protection: Exploring Fungal Species on Wood Surfaces Coated with Biofinish during its Service Life
<p>Weather Data.xlsx</p> <p>This file contains hourly local weather conditions in Izola, Slovenia from October 2021- August 2022</p> <p>Number of colonies.xlsx</p> <p>This file contains the number of fungal colonies isolated from the InnoRenew CoE facade</p> <p>FUNGAL STRAINS_DNA sequence analysis.xlsx</p> <p>This file contains the Genomic DNA of the fungal strains detected on the InnoRenew CoE facade</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.