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757 results for “management evaluation”
Supplementary Material: Evaluation of Cyanea capillata Sting Management Protocols Using Ex Vivo and In Vitro Envenomation Models
<p>Supplementary files for Doyle, T.K.; Headlam, J.L.; Wilcox, C.L.; MacLoughlin, E.; Yanagihara, A.A. Evaluation of <em>Cyanea capillata</em>Sting Management Protocols Using Ex Vivo and In Vitro Envenomation Models. <em>Toxins</em> <strong>2017</strong>, <em>9</em>, 215. Video S1: Vinegar Application to Gelatin-Adherent Cnidae</p>
Managing multiple threats: Evaluating the efficacy of broad-scale introduced predator management in improving native mammal resilience to fire
<p>Preventing further biodiversity loss requires understanding which processes threaten biodiversity and the effectiveness of management actions in mitigating them. Threatening processes can interact in complex and unexpected ways, but different threats are often managed independently. Here, we develop a conceptual model to identify the conditions needed for management of a single threat to achieve a net conservation benefit in systems with multiple interacting threats, and demonstrate its relevance in a replicated case-study experiment. In Australia, introduced red foxes (<em>Vulpes vulpes</em>) and feral cats (<em>Felis catus</em>) may hunt vulnerable native mammals more effectively after fire, due to loss of understory vegetation. However, the efficacy of broad-scale control of introduced predators in improving native mammal resilience to fire has not been quantified. Moreover, many studies assessing the impacts of prescribed fire on species rely on a much smaller number of independent replicates. Using a natural before-after control-impact experiment with 14 prescribed fires, each > 200 ha, we tested whether existing landscape-scale fox baiting programs influenced the immediate effects of prescribed fire on these two introduced predators and five medium-sized native mammals, including the threatened long-nosed potoroo (<em>Potorous tridactylus</em>) and southern brown bandicoot (<em>Isoodon obesulus</em>). Fox occupancy increased across both treatments post-fire, but baiting reduced the magnitude of increase. In contrast, mean feral cat occupancy remained constant in unbaited areas post-fire, but nearly doubled in fox-controlled areas, possibly due to a mesopredator release. Existing landscape-scale fox control programs did not clearly improve the short-term resilience of native mammals to prescribed fire (at least under the current fire and fox management regimes in our study landscapes). These results likely emphasise the need to integrate fire and predator management strategies for threatened faunal conservation iIn the presence of acute disturbances such as fire, threatened native mammals may require more intensive and integrated management of fire and introduced predators, such as (e.g., through more intensive targeted predator controlbaiting around fire events, or intensive protection usingthrough natural or artificial refuges).</p>
IMPLEMENTING AND EVALUATING A PAEDIATRIC EMERGENCY MANAGEMENT TRAINING PROGRAM FOR PRIMARY HEALTHCARE WORKERS IN ZARIA
<p>Nigeria continues to grapple with alarmingly high under-five mortality rates, with approximately 2,300 children dying daily due to preventable and treatable diseases such as pneumonia, malaria, and diarrheal illnesses. This crisis is particularly pronounced in rural areas, where childhood mortality rates are significantly higher than in urban centres. For many rural communities, primary healthcare (PHC) centres serve as the sole access point to medical services, making these centres critical to addressing this public health challenge. Despite their importance, PHC centres often face significant challenges, including inadequate infrastructure, limited access to essential medications, and a shortage of adequately trained health personnel.</p> <p>This study aimed to implement and evaluate a Paediatric Emergency Management Training Program for healthcare workers at PHC centres in Zaria, Kaduna State. The primary objective was to assess the effectiveness of the training in improving the competency of health workers in managing common paediatric emergencies, thereby enhancing the overall quality of care provided at these centres.</p> <p>A cross-sectional descriptive study was conducted involving 139 healthcare workers from selected PHC centres in Sabon Gari and Zaria Local Government Areas, utilizing a multi-stage random sampling technique. Data collection was performed using a pre-tested, semi-structured, self-administered questionnaire designed to evaluate the participants' baseline knowledge, followed by an assessment after the training intervention. The data were analysed using SPSS version 21, with chi-square tests employed to examine the associations between variables. Results were presented using tables and charts for clarity.</p> <p>The findings revealed a generally low baseline competency in managing common paediatric emergencies among the healthcare workers. Specifically, 66 (48.5%) of the respondents demonstrated very poor knowledge regarding the causes of common paediatric emergencies, 32 (23.5%) had poor knowledge, 34 (25.0%) had good knowledge, and only 4 (2.9%) of the respondents exhibited excellent knowledge. Similarly, knowledge regarding the treatment of these emergencies was also lacking, with 46.7% of respondents showing very poor understanding, 34.1% having poor knowledge, 16.3% demonstrating good knowledge, and only 3.0% showing excellent knowledge. A statistically significant relationship was observed between academic qualifications and knowledge levels in both causes (p = 0.004) and treatment (p = 0.000) of paediatric emergencies.</p> <p>The low baseline knowledge underscores the critical need for targeted training interventions. The study highlights the importance of establishing a sustained partnership between the Department of Paediatrics at Ahmadu Bello University Teaching Hospital and the Departments of Primary Health Care in Zaria and Sabon Gari Local Governments. Regular training workshops, held quarterly, are recommended to continuously equip PHC workers with the necessary skills to effectively manage paediatric emergencies, ultimately contributing to a reduction in childhood mortality rates in the region.</p>
LCC - Datasets for PlastiCircle Economic Evaluation of the Light Packaging Waste Management
<p>These datasets are related to deliverable 7.4 which presents the results from the economic assessment for the waste management systems evaluation of the city pilots and converter industries.</p> <p>PlastiCircle technologies allowed higher collection of plastic packaging and better input quality which might result in an increased market demand achieving the European recycling objectives. The higher volumes collected cause higher management costs which are compensated by higher remuneration from the PRO. The higher recovery resulted in higher recycling costs which are offset by higher revenues from sales. The evaluation of the industrial case studies indicates that the profitability of the production of industrial products using recycled post-consumer plastics is dependent of the market prices and the stability of the supply.</p>
S-LCA - Datasets for PlastiCircle Social Evaluation of the Light Packaging Waste Management (stakeholder perpectives)
<p>This deliverable (7.5) presents S-LCA results for the waste management systems in Valencia (Spain), Utrecht (Netherland) and Alba Iulia (Romania). Moreover, an extrapolation of the results has been calculated to show the results on the European level.</p> <p>Data is collected from groups of citizens, citizens associations, waste managers and municipalities (city hall workers).</p> <p>Questionnaires have been done in order to ask this groups of people questions to assess the social impact of the waste management systems in each city.</p> <p>Questions have been prepared according to the guidelines for social life cycle assessment of products - UNEP DTIE.</p>
LCA - Datasets for PlastiCircle Environmental Evaluation of the Light Packaging Waste Management
<p><strong>Datasets presented are related to Delievrable 7.3 - LCA.</strong></p> <p>To structure the environmental assessment, cities and industries are treated separately. The three pilot cities evaluated in PlastiCircle are:<br> 1. Valencia 2. Utrecht 3. Alba Iulia</p> <p><br> Within the project several technologies and strategies have been developed to improve the waste management of the pilot cities and other aspects in the value chain. Main developments spin around (a) citizens identification through a labelling system integrated on the container on a PAYT basis; (b) route optimization based on filling level sensors integrated on the container and corresponding algorithms for the optimization; (c) Eco-driving app to monitor the transport parameters and suggest efficient driving to the drivers. Moreover, on the sorting stage (d) PICVISA developed different improvement on their sorting equipment to enhance yield and purity on extracted fractions, and as well, a mechanical module to improve film recovery was developed. All these conditions have been evaluated on this report, focusing on the following sections:<br> 1. Collection – Impact of PAYT system on the pilot and quality segregation and IoT infrastructure.<br> 2. Transport – Impact of route optimization and efficient driving<br> 3. Sorting – Impact from yield and purity improvements and development of turbosorter</p> <p><br> For the sorting stage a model has been designed for each pilot waste recycling plant, focusing on the energy used per tonne, the yield of each fraction on the plant and the input waste as main parameters, inter alia.</p> <p>As a bridge between the cities and the final converters, there is a need of a proper pre-treatment/ conditioning of the post-consumer polymer to provide quality standard feedstock to the industries. PlastiCircle, lacks a partner on the consortium undertaking these tasks on an industrial level, however, different lab scale trials and some trials with Sorema have been assessed during the project, also considering broken down processes to evaluate impact on these intermediate stages taking into consideration processes such as the ones used by European industries as Sorema or Herbold, and other processes extracted from literature and commercial solutions:<br> 4. Washing/Pre-treatment – Impact on the pre-conditioning for plastic packaging bales.</p> <p><br> Once plastic is ready as flakes or pellets forms, industries within the project use those recycled plastic as raw materials to manufacture their products. Their different processes have been defined analysed, performing specific LCA for each one of their results considering the trials and impacts from the developments done during the project.</p> <p>Attached datasets used for the LCA models in PlastiCircle can be found.</p>
Managing innovation - how to evaluate costs/benefits and plan for the future
<p>A guest seminar offered by SCImPULSE Foundation CFO Stef Cuijpers for the University of Parma (IT) master "ARTE" https://www.masterarte-unipr.it/</p>
Research Management Systems: Systematic Mapping of Literature (2007-2017) - Number of articles included during the search and qualitative evaluation process of the study
<p>This image is uploaded as an integrated part of systematic mapping of literature "Research Management Systems: Systematic Mapping of Literature (2007-2017)". This image will be cited across all future publications related to this project as Attribution-NonCommercial-NoDerivatives 4.0 International image.</p>
Figure 1 in Weed Seedbank Management: Revisiting How Herbicides Are Evaluated
Figure 1. Scatter plot of principal component analysis indicating the (dis) associations between visual rating, weed seed production, weed biomass and density as a result of meta-analysis of selected research articles in Weed Science and Weed Technology.
RAGE pilot data from 1st evaluation of the Sports Team Manager game on soft skills for employability
<p><strong>General description: </strong>The dataset includes data from the first evaluation pilot which tested the Sports team manager game developed by PlayGen for the Okkam use case.</p> <p><strong>Topic</strong><br> ACM CSS 2012: Human Computer Interaction (HCI) design and evaluation methods<br> PsycINFO Classification: 3620 Personnel Management & Selection & Training; 2228 Occupational & Employment Testing</p> <p><strong>Name entitites</strong><br> Organizational information: OKKAM, in collaboration with University of Trento<br> Geographical information: Italy<br> Time information: May-June 2017</p> <p><strong>Types</strong>: Excel</p> <p><strong>RAGCS target group:</strong> end users: other user groups</p> <p><strong>Evaluation dimensions</strong><br> Evaluation object: Sports Team Manager game<br> Methodology/design: within subjects design<br> Evaluation variables: usability, user experience, learning</p> <p><strong>Instruments:</strong> 1. Questionnaire on Usability Game User Experience Satisfaction Scale (GUESS; Phan, Keebler, & Chaparro, 2016) – Usability subscale; 2. questionnaire on User Experience including 3 subscales: Enjoyment (GUESS -Enjoyment subscale); Usefulness (Intrinsic Motivation Questionnaire, IMI; Ryan, 1982) - Subscale Value/Usefulness; Flow (Flow Short Scale, FSS, Rheinberg et al., 2003; Vollmeyer & Rheinberg, 2006); 3. Pre-post questionnaire on learning; 4. Focus interview</p> <p><strong>Knowledge/skill elements</strong><br> RAGCS skills: cognitive skills: evaluating, analysing; affective skills: interpersonal skills<br> ESCO skills: social interaction (<a href="http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330">http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330)</a>; accept constructive criticism (<a href="http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30">http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30</a>); work in teams (<a href="http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0">http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0</a>); negotiate compromise <a href="http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74">(http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74)</a>; lead others (<a href="http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207">http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207</a>); motivate others <a href="http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507">(http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507</a>); support colleagues (<a href="http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224">http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224</a>); manage time <a href="http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8">(http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8</a>); make decisions (<a href="http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47">http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47</a>); develop strategies to solve problems (<a href="http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800">http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800</a>); evaluate information (<a href="http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9">http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9)</a><br> <br> <strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br> Related dataset: <a href="https://doi.org/10.5281/zenodo.2564742">10.5281/zenodo.2564742</a></p>
RAGE - Data Evaluation Taxonomy Manager
<p><strong>General description: </strong>Data from the evaluation of the Taxonomy Manager in the RAGE Ecosystem</p> <p><strong>Topic</strong><br> ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies, Usability testing</p> <p><strong>Name entitites</strong><br> Organizational information: Graz University of Technology, Forschungsinstitut für Telekommunikation und Kooperation<br> Geographical information: Europe<br> Time information: 2017</p> <p><strong>Types</strong>: SPSS data file</p> <p><strong>RAGCS target group:</strong> target groups - supply side - research institutions, industry participants</p> <p><strong>Evaluation dimensions</strong><br> Evaluation object: Taxonomy Manager in RAGE Ecosystem portal<br> Evaluation variables: usability, usefulness, tutorial quality, experience with taxonomies, version control, export/import quality</p> <p><strong>Instruments:</strong> UMUX - usability metric for user experience (Finstad, 2010); USE questionnaire - Usefulness, Satisfaction, Ease of use; subscale usefulness; questionnaire items adapted from Papadakis, Andreou & Chrissykopoulus (2002), Thielsch & Stegemöller (2012); questionnaire items defined for the purpose of the evaluation<br> <br> <strong>Relationships</strong>: D8.3 - First RAGE Evaluation Report<br> Related datasets: <a href="https://doi.org/10.5281/zenodo.1209192">10.5281/zenodo.1209192</a>, <a href="https://doi.org/10.5281/zenodo.2578728">10.5281/zenodo.2578728</a></p>
Results from Performance Evaluation and Testing of Virtual Infrastructure Managers
<p>NFV leverages Cloud Computing principles to move the data-plane network functions from expensive, closed and proprietary hardware to so-called Virtual Network Functions (VNFs). We deal with the management of virtual computing resources (Unikernels) for the execution of VNFs. This functionality is performed by the Virtual Infrastructure Manager (VIM) in the NFV MANagement and Orchestration (MANO) reference architecture. In this data set we report the results of a performance evaluation we have realized of three open source VIMs, namely OpenStack, Nomad and OpenVIM; both considering stock and the tuned versions. The VIMs and the performance evaluation tools that we employ are provided openly and can be downloaded from our repositories (<a href="https://github.com/superfluidity/openvim4unikernels">https://github.com/superfluidity/openvim4unikernels</a> and <a href="https://github.com/netgroup/vim-tuning-and-eval-tools">https://github.com/netgroup/vim-tuning-and-eval-tools</a>).</p>
Cloud management platform evaluation data generated by CMP²
<p>This repository contains exemplary results from using the CMP² (Comparing Cloud Management Platforms) testbed on CloudcheckR, ManageIQ, MistIO, Boto and Libcloud. The results give insight into the performance of multi-cloud middleware. All experiments were conducted as research in education linked to the Cloud Accounting and Billing research initiative at Service Prototyping Lab, Zurich University of Applied Sciences, Switzerland. Apart from the raw data in JSON format, generated graphs are also included.</p> <p> </p>
RAGE pilot data from 2nd evaluation of the Sports Team Manager game on soft skills for employability
<p><strong>General description: </strong>The dataset includes data from the second evaluation pilot which tested the Sports team manager game developed by PlayGen for the Okkam use case.</p> <p><strong>Topic</strong><br> ACM CSS 2012: Human Computer Interaction (HCI) design and evaluation methods<br> PsycINFO Classification: 3620 Personnel Management & Selection & Training; 2228 Occupational & Employment Testing</p> <p><strong>Name entitites</strong><br> Organizational information: OKKAM, in collaboration with University of Trento<br> Geographical information: Italy<br> Time information: December 2017- November 2018</p> <p><strong>Types</strong>: Excel</p> <p><strong>RAGCS target group:</strong> end users: other user groups</p> <p><strong>Evaluation dimensions</strong><br> Evaluation object: Sports Team Manager game<br> Methodology/design: within subjects design for learning<br> Evaluation variables: usability, user experience, learning</p> <p><strong>Instruments:</strong> 1. Questionnaire on Usability Game User Experience Satisfaction Scale (GUESS; Phan, Keebler, & Chaparro, 2016) – Usability subscale; 2. questionnaire on User Experience including 3 subscales: Enjoyment (GUESS -Enjoyment subscale); Usefulness (Intrinsic Motivation Questionnaire, IMI; Ryan, 1982) - Subscale Value/Usefulness; Flow (Flow Short Scale, FSS, Rheinberg et al., 2003; Vollmeyer & Rheinberg, 2006); 3. Pre-post questionnaire on learning; 4. Focus interview</p> <p><strong>Knowledge/skill elements</strong><br> RAGCS skills: cognitive skills: evaluating, analysing; affective skills: interpersonal skills<br> ESCO skills: social interaction: <a href="http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330">http://data.europa.eu/esco/skill/8f18f987-33e2-4228-9efb-65de25d03330</a>; accept constructive criticism: <a href="http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30">http://data.europa.eu/esco/skill/a311ab20-75df-4aff-8016-3142c5659d30</a>; work in teams: <a href="http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0">http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0</a>; negotiate compromise: <a href="http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74">http://data.europa.eu/esco/skill/7954861c-86d4-4529-afbb-2c23dab9ac74</a>; lead others: <a href="http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207">http://data.europa.eu/esco/skill/75d8e5d9-bef3-418b-9011-01bff9f27207</a>; motivate others: <a href="http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507">http://data.europa.eu/esco/skill/e2d44a9b-f28c-489e-9861-b654b5ded507</a>; support colleagues: <a href="http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224">http://data.europa.eu/esco/skill/95a41cf5-4037-4c96-91a8-c34b41637224</a>; manage time: <a href="http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8">http://data.europa.eu/esco/skill/d9013e0e-e937-43d5-ab71-0e917ee882b8</a>; make decisions: <a href="http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47">http://data.europa.eu/esco/skill/d62d2b4c-a6f8-439e-8a1b-4f29ab5f2c47</a>; develop strategies to solve problems: <a href="http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800">http://data.europa.eu/esco/skill/7a8fb784-67fa-41e9-a75c-6b491d91f800</a>; evaluate information: <a href="http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9">http://data.europa.eu/esco/skill/7dd94ad3-13d6-43fe-8b94-51fcbf67ced9</a><br> <br> <strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br> Related dataset: <a href="https://doi.org/10.5281/zenodo.1209206">10.5281/zenodo.1209206</a></p>
Fig. 1 in Evaluation of seedling tray drench of insecticides for cabbage maggot (Diptera: Anthomyiidae) management in broccoli and cauliflower
Fig. 1. (A) Insecticides were delivered using a syringe and (B) inoculation of Delia radicum larvae into the base of transplant seedling in the greenhouse.
Fig. 3 in Evaluation of seedling tray drench of insecticides for cabbage maggot (Diptera: Anthomyiidae) management in broccoli and cauliflower
Fig. 3. Least squares means (± SE) of (A) severity of Delia radicum feeding injury, (B) Delia radicum larvae, and (C) fresh weight of 10 cauliflower plants in the field trial 3 conducted in 2015. Means with different letters are significantly different between treatments for each parameter according to Tukey's HSD test at P <0.05.
Fig. 2 in Evaluation of seedling tray drench of insecticides for cabbage maggot (Diptera: Anthomyiidae) management in broccoli and cauliflower
Fig. 2. Least squares means (± SE) of severity of Delia radicum feeding injury to 5 insecticides and an untreated control in (A) broccoli and (B) cauliflower in the greenhouse. Means with different letters are significantly different between treatments for each commodity according to Tukey's HSD test at P <0.05.
Fig. 4 in Evaluation of seedling tray drench of insecticides for cabbage maggot (Diptera: Anthomyiidae) management in broccoli and cauliflower
Fig. 4. Mean (± SE) of (A) Delia radicum larvae and (B) severity of Delia radicum feeding injury of 20 cauliflower plants in the field trial 4 conducted in 2016. Means with different letters are significantly different between treatments for each parameter according to Tukey's HSD test at P <0.05. Where no differences were observed, no letters are given.
A Study to Evaluate the Safety and Efficacy of Elagolix for the Management of Heavy Menstrual Bleeding Associated With Uterine Fibroids in Premenopausal Women
ClinicalTrials.gov study NCT03886220. IPD Sharing: YES. Countries: 2. Publications: 1.
Data from: Comparing alternative harvest strategies to address robustness to recruitment variability and uncertainty: Implications for Alaska Sablefish tested with management strategy evaluation
Open the record for dataset details and reuse information.
ScienceDex guides
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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.