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1,465 results for “resilience”
Wellbeing, resilience and peer support
<p>The idea of Wellbeing can mean many different things, covering elements of mental, emotional, physical, social and societal functions. Whatever your definition, it's worth looking after.<br><br>So, how can you do that exactly?<br><br>In todays episode, we hear from Dr Dianne Wepa, Associate Professor at Charles Darwin University in Australia, and Prof Haaken Strand of the Charles Darwin University Faculty of Health. They discuss what is meant by wellbeing in different cultures, and when facing different challenges, be they personal, professional, or global.<br><br>Read the original article: <a href="https://doi.org/10.1016/j.ijnsa.2023.100144">https://doi.org/10.1016/j.ijnsa.2023.100144</a></p>
Coral connections within an atoll reef system underlie reef resilience and persistence
<p><span>This study investigates the coral reef connectivity a coral reef atoll using fine-scale bio-physical model along with network analysis. </span></p>
Code to reproduce Figures in "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting"
<p>This repository contains the code and data to reproduce the results of the paper:<em> "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting" </em>in<em> Science Advances</em>, https://doi.org/10.1126/sciadv.adj1194</p> <ul> <li>The `code/` directory contains the scripts used for the analysis and generating figures in the paper:</li> <li>The `data/` directory contains the data to create the plots</li> </ul> <p>The original data was obtained from <a href="https://www.slcg.com/opioid-data" target="_new">https://www.slcg.com/opioid-data</a>, which publicly distributes the Automation of Reports and Consolidated Orders System (ARCOS) dataset.</p>
Dataset: Parallel Empirical Evaluations: Resilience Despite Concurrency
Open the record for dataset details and reuse information.
Data from: navigating uncertainty: managing herbivore communities enhances savanna ecosystem resilience under climate change
<p>Savannas are characterized by water scarcity and degradation, making them highly vulnerable to increased uncertainties in water availability resulting from climate change. This poses a significant threat to ecosystem services and rural livelihoods that depend on them. In addition, the lack of consensus among climate models on precipitation change makes it difficult for land managers to plan for the future. Therefore, savanna rangeland management needs to develop strategies that can sustain savanna resilience and avoid tipping points under an uncertain future climate. Our study aims to analyze the impacts of climate change and rangeland management on degradation in savanna ecosystems of southern Africa, providing insights for the management of semi-arid savannas under uncertain conditions worldwide. To achieve this, we simulated the effects of projected changes in temperature and precipitation, as predicted by ten global climate models, on water resources and vegetation (cover, functional diversity, tipping points (transition from grass-dominated to shrub-dominated vegetation)). We simulated three different rangeland management options (herbivore community dominated by grazers, by browser and by mixed-feeders), each with low and high animal densities using the ecohydrological model EcoHyD. Our results identified intensive grazing as the primary contributor to the increased risk of degradation in response to changing climatic conditions across all climate change scenarios. This degradation encompassed a reduction in available water for plant growth within the context of predicted climate change. It also entails a decline in the overall vegetation cover, the loss of functionally important plant species, and the inefficient utilization of available water resources, leading to earlier tipping points. Our findings underscore that in the face of climate uncertainty, farmers' most effective strategy for securing their livelihoods and ecosystem stability is to integrate browsers and apply management of mixed herbivore communities. This management approach not only significantly delays or averts tipping points but also maintained greater plant functional diversity, fostering a more robust and resilient ecosystem that acts as a vital buffer against adverse climatic conditions.</p>
Data from: Stress-induced loss of social resilience in honeybee colonies and its implications on fitness
<p>Stressors may lead to a shift in the timing of life-history events of species causing a mismatch with optimal environmental conditions, potentially reducing fitness. In honeybees, the timing of brood rearing and nest emergence in late winter/early spring is critical, as colonies need to grow fast after winter to prepare for reproduction. However, the effects of stress on these life-history events in late winter/early spring and the possible consequences are not well understood. Therefore, we tested whether (1) honeybee colonies shift timing of brood rearing and nest emergence as a response to stressors, and (2) if there is a consequent loss of social resilience, reflected in colony fitness (survival, growth and reproduction). We monitored stressed (high load of the parasitic mite <em>Varroa destructor</em> or nutrition-restricted) colonies and presumably non-stressed colonies from the beginning of 2020 till the spring of 2021. We found that honeybee colonies do not shift the timing of brood rearing and nest emergence in spring as a coping mechanism to stressors. However, we show that there is a loss of social resilience in stressed colonies, leading to reduced growth and reproduction. Our study contributes to a better understanding of the effects of stressors on social resilience in eusocial organisms.</p>
Data from: Heterogeneity promotes resilience in restored prairie: implications for the 'environmental heterogeneity hypothesis'
<p>Enhancing resilience in formerly degraded ecosystems is an important goal of restoration ecology. However, evidence for the recovery of resilience and its underlying mechanisms requires long-term experiments and comparison to reference ecosystems. We used data from an experimental prairie restoration that featured long-term soil heterogeneity manipulations and data from comparable remnant (reference) prairie to (1) quantify the recovery of ecosystem functioning (i.e., productivity) relative to remnant prairie, (2) compare resilience of restored and remnant prairies to a natural drought, and (3) test whether soil heterogeneity enhances resilience of restored prairie. We compared sensitivity and legacy effects between prairie types (remnant and restored) and among four prairie sites that included two remnant prairie sites and prairie restored under homogeneous and heterogeneous soil conditions. We measured sensitivity and resilience as the proportional change in aboveground net primary productivity (ANPP) during and following drought (sensitivity and legacy effects, respectively) relative to average ANPP based on four pre-drought years (2014-2017). In non-drought years, total ANPP was similar between remnant and restored prairie, but remnant prairie had higher grass productivity and lower forb productivity compared to restored prairie. These ANPP patterns generally persisted during drought. Sensitivity of total ANPP to drought was similar between restored and remnant prairie, but grasses in restored prairie were more sensitive to drought. Post-drought legacy effects were more positive in restored prairie, and we attributed this to the more positive and less variable legacy response of forb ANPP in restored prairie, especially in the heterogeneous soil treatment. Our results suggest that productivity recovers in restored prairie and exhibits similar sensitivity to drought as remnant prairie. Furthermore, imparting heterogeneity promotes forb productivity and enhances prairie resilience to drought.</p>
Data from: dammed ponds! a study of post-fire sediment and carbon dynamics in beaver ponds and their contributions to watershed resilience
<p>Beaver ponds were surveyed as part of an effort to quantify post-fire sediment dynamics in beaver ponds. Forty-eight beaver ponds in the northern Colorado Rocky Mountains were surveyed between June and August, 2022. We quantified the current and remaining sediment storage capacities within ponds with sediment depth surveys, and we calculated sedimentation rates by analyzing stratigraphy within pond sediment cores.</p>
Unveiling the submerged secrets: bumblebee queens' resilience to flooding
<p>In a previous study, an experimental oversight led to the accumulation of water filling a container housing diapausing bumblebee queens. Surprisingly, after draining the water, the queens were found to be alive. This observation raises a compelling question: can bumblebee queens endure periods of inundation while overwintering underground? To address this question, we conducted an experiment using 143 common eastern bumblebee (<em>Bombus impatiens</em>) queens placed in soil-filled tubes and subjected to artificially induced diapause in a refrigerated unit for seven days. Tap water was then added to the tubes and queens (n=21/treatment) were either maintained underwater using a plunger-like apparatus or left to float naturally on the water's surface for varying durations (8h, 24h, or 7 days) while remaining in overwintering conditions. Seventeen queens served as controls. After the submersion period, queens were removed from the water, transferred to new tubes with soil, and kept in cold storage for 8 weeks. Overall queen survival remained consistently high (89.5 ± 6.4%) across all treatments and did not differ among submersion regimes and durations. These results demonstrate the remarkable ability of diapausing <em>B. impatiens</em> queens to withstand submersion underwater for up to one week, indicating their adaptations to survive periods of flooding in the wild.</p>
Data from: Advancing transdisciplinary research on grassy biomes to support resilience in tropical ecosystems and livelihoods
<p>Madagascar-wide metadata relating to Malagasy Grassy Biomes. The understanding of vegetation dynamics in tropical grassy biomes is severely limited across spatio-temporal scales, limiting effective management and support for livelihoods and biodiversity. Despite their extent, utility, and central importance to people and ecosystem function, grassy biomes are often uncritically regarded as degraded, valueless landscapes that result primarily from destructive anthropogenic forces. Moreover, this characterization is often presented without investigation of their history, biodiversity, or ecological complexity. Iconically, Madagascar's grassy biomes cover approximately 80% of the island's land surface today and exemplify core challenges to understanding tropical grassy ecosystems and their interactions with anthropogenic activities across spatio-temporal scales. Intersections between human history and environmental change have sparked debates about the role of land use in shaping grassy biomes (e.g., pastoralism, cultivation, fire use), echoing land use debates globally, and highlighting obstacles to ecosystem and livelihood resilience. Like many tropical biodiversity hotspots, Madagascar faces converging challenges that can be aided by an improved understanding of grassy ecosystems and the livelihoods they support, including food and health insecurity, economic inequities, biodiversity loss, climate change, land conversion, and limited resource access. Centered on improved understanding and management of grassy biomes, we present a framework to guide transdisciplinary research across the tropics by: (1) establishing a common terminology; (2) summarising data contributions and knowledge gaps that reflect those in other tropical regions; (3) identifying priority research questions; and (4) highlighting transdisciplinary and inclusive approaches to resolve knowledge gaps and co-benefit ecosystems and livelihoods. </p>
Student Stress Resilience app first efficacy study
<p>Experimental group students (n=25) used the SSResilience app for two weeks. Control group students (n=50) used different means to set goals. All students were pre-tested and post-tested on anxiety, well-being and resilience using standardized questionnaires.</p>
Spatial Data Recovery and Resilience of Oyster Reefs in the Big Bend of Florida
<p><strong>Project:</strong> Recovery and Resilience of Oyster Reefs in the Big Bend of Florida</p> <p><a href="https://wec.ifas.ufl.edu/oysterproject/">https://wec.ifas.ufl.edu/oysterproject/</a></p> <p><strong>Lone Cabbage Reef Restoration Spatial Data (2017-2023) Repository:</strong></p> <p><a href="../communities/lonecabbagereef">https://zenodo.org/communities/lonecabbagereef</a></p> <p><strong>Contact:</strong> Joe Aufmuth, University of Florida, George A. Smathers Libraries, Academic Research and Consulting Services Department, <a href="mailto:mapper@ufl.edu">mapper@ufl.edu</a>, (352) 273-0371.</p> <p><strong>Clarifying Publication: </strong>Aufmuth, Moore, Pine, and Ennis (2024 in progress), An Oyster’s Pearl: Restoring the Elevation of Lone Cabbage Reef, Florida.</p> <p>The repository contains ArcGIS Map Packages (v3.2.0) that are listed in the repository file Descriptions_Lone_Cabbage_Reef_map_package_list_xls. </p> <p><strong>Purpose:</strong> Data collected varies in scale as well as positional and attribute accuracy. It is the responsibility of the user to verify that the data are appropriate for their project. No warranties or guarantees are made that the data are appropriate for uses other than the Recovery and Resilience of Oyster Reefs in the Big Bend of Florida project.</p> <p><strong>Data Collection:</strong> Elevation data was collected through professional certified surveyors (Lone Cabbage Reef 2017, 2018, and 2021) as well as through field data collection efforts using Trimble survey grade GPS equipment (University of Florida 2019). Oyster count data locations were collected through field efforts and mapped to field transects using Juniper GPS survey equipment (2018, 2019, 2020, 2021, 2022, 2023). Other spatial data layers included in this data set are credited in the layouts that produce the individual maps in the map packages.</p>
Extra-P Version Used for Noise-Resilient Empirical Performance Modeling with Deep Neural Networks
<p>This is the Extra-P source code that was used for the analysis and evaluation of the IPDPS 2021 paper "Noise-Resilient Empirical Performance Modeling with Deep Neural Networks". It also contains the checkpoints and saved models for the DNN part of the adaptive modeler as well as the gathered synthetic evaluation data.</p>
Heart rate variability: Can it serve as a marker of mental health resilience?
<p>Heart rate variability: Can it serve as a marker of mental health resilience?</p> <p>Background: Stress resilience influences mental well-being and vulnerability to psychiatric disorders. Usually, measurement of resilience is based on subjective<br> reports, susceptible to biases. It justifies the need for objective biological/physiological biomarkers of resilience. One promising candidate as biomarker of mental<br> health resilience (MHR) is heart rate variability (HRV). The evidence for its use was reviewed in this study.<br> Methods: We focused on the relationship between HRV (as measured through decomposition of RR intervals from electrocardiogram) and responses to laboratory<br> stressors in individuals without medical and psychiatric diseases. We conducted a bibliographic search of publications in the PubMed for January 2010–September<br> 2018.<br> Results: Eight studies were included. High vagally mediated HRV before and/or during stressful laboratory tasks was associated with enhanced cognitive resilience to<br> competitive/self-control challenges, appropriate emotional regulation during emotional tasks, and better modulation of cortisol, cardiovascular and inflammatory<br> responses during psychosocial/mental tasks.<br> Limitations: All studies were cross-sectional, restricting conclusions that can be made. Most studies included only young participants, with some samples of only<br> males or females, and a limited array of HRV indexes. Ecological validity of stressful laboratory tasks remains unclear.<br> Conclusions: Vagally mediated HRV may serve as a global index of an individual's flexibility and adaptability to stressors. This supports the idea of HRV as a plausible,<br> noninvasive, and easily applicable biomarker of MHR. In future longitudinal studies, the implementation of wearable health devices, able to record HRV in naturalistic<br> contexts of real-life, may be a valuable strategy to gain more reliable insight into this topic.</p>
The hidden legacy of megafaunal extinction: loss of functional diversity and resilience over the late Quaternary at Hall's Cave
<p>This dataset contains trait data and R code used in the analysis for the paper "Hedberg, C.P., Lyons S.K., & Smith F.A. (2021). THe Hidden Legacy of megafaunal extinction: loss of functional diversity and resilience over the Late Quaternary at Hall's Cave. Global Ecology and Biogeography. https://doi.org/10.1111/geb.13428"</p> <p>We collected data for eight functional traits (mass, diet, arboreality, cursoriality, soil disturbance, group size, activity period, migration habit) that collectively describe a species' ecological role and influence on ecosystem processes. With these data, we investigated changes in functional diversity and redundancy of a local mammal community over time at Hall's Cave, a site in Central Texas with a continuous record from 21,000 years ago to the present. Additionally, we included several common introduced and domestic species to the modern community to test whether they restore some lost ecological function. </p> <p>We found that declines in functional diversity were greater than expected given the decrease in species richness, implying lost taxa contributed higher than average distinct ecological function. Functional distances between remaining species increased through time leading to lowered functional redundancy in younger communities. However, recently introduced taxa increased functional diversity to levels similar to the Holocene and partially restored functional space occupied by Late Pleistocene fauna. Our local-scale analysis demonstrates how prolonged biodiversity erosion not only leads to functionally depauperate communities, but critically lowers ecological resilience to future disturbance.</p>
Role of individual dispersal in genetic resilience in fluctuating populations of the gray-sided vole Myodes rufocanus
<p class="a">Population densities of the grey-sided vole <i>Myodes rufocanus</i> fluctuate greatly within and across years in Japan. Here, to investigate the role of individual dispersal in maintaining population genetic diversity, we examined how genetic diversity varied during fluctuations in density by analyzing eight microsatellite loci in voles sampled three times per year for 5 years, using two fixed trapping grids (approximately 0.5 ha each). At each trapping session, all captured voles at each trapping grid were removed. The STRUCTURE program was used to analyze serially collected samples to examine how population crashes were related to temporal variability, based on local-scale genetic compositions in each population. In total, 461 and 527 voles were captured at each trapping grid during this study. The number of voles captured during each trapping session (i.e., vole density) varied considerably at both grids. Although patterns in fluctuations were not synchronized between grids, the peak densities were similar. At both grids, the mean allele number recorded at each trapping session was strongl<span>y</span><span><span>, positively,</span></span><span> a</span>nd non-linearly correlated with density. STRUCTURE analyses revealed that the proportions of cluster compositions among individuals at each grid differed markedly before and after the crash phase, implying the long-distance dispersal of voles from remote areas at periods of low density. The present results suggest that, in grey-sided vole populations, genetic diversity varies with density largely at the local scale; in contrast, genetic variation in a metapopulation is well-preserved at the regional scale due to the density-dependent dispersal behaviors of individuals. By influencing the dispersal patterns of individuals, fluctuations in density affect metapopulation structure spatially and temporally, while the levels of genetic diversity are preserved in a metapopulation.</p>
Resilience of seagrass populations to thermal stress does not reflect regional differences in ocean climate
<p>1. The prevalence of local adaptation and phenotypic plasticity among populations is critical to accurately predicting when and where climate change impacts will occur. Currently, comparisons of thermal performance between populations are untested for most marine species or overlooked by models predicting the thermal sensitivity of species to extirpation.</p> <p>2. Here we compared the ecological response and recovery of seagrass populations (<i>Posidonia oceanica</i>) to thermal stress throughout a year-long translocation experiment across a 2800 km gradient in ocean climate. Transplants in central and warm-edge locations experienced temperatures >29 ºC, representing thermal anomalies >5ºC above long-term maxima for cool-edge populations, 1.5ºC for central and <1ºC for warm-edge populations.</p> <p>3. Cool, central and warm-edge populations differed in thermal performance when grown under common conditions, but patterns contrasted with expectations based on thermal geography. Cool-edge populations did not differ from warm-edge populations under common conditions and performed significantly better than central populations in growth and survival.</p> <p>4. Our findings reveal that thermal performance does not necessarily reflect the thermal geography of a species. We demonstrate that warm-edge populations can be less sensitive to thermal stress than cooler, central populations suggesting that Mediterranean seagrasses have greater resilience to warming than current paradigms suggest.</p>
[dataset] Runtime Equilibrium Verification for Resilient Cyber-physical Systems
<p>This package contains the <strong>raw data</strong> and <strong>scripts</strong> used to carry out the evaluation of the framework RUNE<sup>2</sup> (RUNtime Equilibrium verification and Enforcement).</p> <p>This package is paired with the following paper submitted for publication to the ACM Transactions on Autonomous and Adaptive Systems (TAAS). Invited contribution to the IEEE ACSOS 2021 Special Issue.</p> <p><strong>Title</strong>: Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime</p> <p><strong>Authors</strong>:<br> - Matteo Camilli, Free University of Bozen-Bolzano, Italy<br> - Raffaela Mirandola, Politecnico di Milano, Italy<br> - Patrizia Scandurra, University of Bergamo, Italy</p> <p>See README.md for further instructions.</p>
Development of Novel Ultra-High Performance Engineered Cementitious Composites (UHP-ECC) for Durable and Resilient Transportation Infrastructure
<p>The objective of this study was to develop novel UHP-ECC materials utilizing readily available ingredients in Region 6 for the construction and repair of transportation infrastructure. Phase one of this study focused on the development of ultra-high strength cementitious matrices by evaluating the effects of ingredient selection and mixture proportioning on the materials’ compressive strength. Variables evaluated included the mass ratios of silica fume to fly ash (SF/FA), supplementary cementitious materials to cement (SCMs/C), and ordinary sand to microsilica sand (OS/MS). Phase two of the study focused on the development of UHP-ECC materials. To this end, based on the knowledge gained from phase one, two ultra-high strength cementitious matrices (one with and one without SF) were formulated and their fracture properties were evaluated through fracture toughness test. Furthermore, fiber-bridging properties of ultra-high-molecular-weight (UHMW) polyethylene (PE) fiber in the developed cementitious matrices were evaluated through single crack tensile test (SCTT). Four different composites were produced by reinforcing the selected cementitious matrices with 1.5 and 2 vol.% UHMW PE fiber. Fresh and hardened properties of the developed composites were assessed by means of flowability test, compressive strength test, uniaxial tensile test, and flexural performance test. Results from phase one showed that SF/FA had the most relevant effect on compressive strength, followed by SCMs/C, and OS/MS. Furthermore, increments in SF/FA produced improvements in strength, whereas increments in SCMs/C and OS/MS reduced strength. Experimental results from phase two indicated that the use of SF and the increase in fiber content generally had a negative effect on the fresh and hardened properties of the composites. These observations were credited to a worsening fiber distribution when using silica fume and/or increasing fiber content. Three UHP-ECC materials utilizing readily available ingredients were successfully developed (i.e., mixtures FA25-f1.5, FA25-f2, and FA20SF5-f2). These materials simultaneously exhibited ultra-high compressive strength (>120 MPa) and ECC-like ductility (tensile strain capacity >2%). The average crack width for all mixtures ranged between 61-131 μm. Mixture FA25-f1.5, which displayed the best mechanical properties, exhibited a compressive strength of 133.1 MPa, flexural strength of 21.4 MPa, tensile strength of 10.3 MPa, tensile strain capacity of 4.3%, and an average crack width of 115.3 μm. Importantly, this mixture did not incorporate silica fume or microsilica sand and used low fiber content (i.e., 1.5 vol.%).</p>
Managing for the unexpected: building resilient forest landscapes to cope with global change: Supporting data
<p><strong>Input files</strong> and <strong>installers </strong>of the versions of LANDIS-II, PnET-Succession and other extensions used in the associated paper. They can be used to to reproduce results of the study.</p> <p>The model documentation is freely available at <a href="https://www.landis-ii.org/">https://www.landis-ii.org/</a></p> <p>The LANDIS-II code is distributed under an open source license at <a href="https://github.com/LANDIS-II-Foundation">https://github.com/LANDIS-II-Foundation</a>.</p> <p>If interested in using this dataset for a research study or project, please contact <a href="https://www.marco-mina.com">Marco Mina</a></p> <p>---------------------</p> <p>Mina, M., Messier, C., Duveneck, M., Fortin, M. J., & Aquilué, N. (2022) <strong>Managing for the unexpected: building resilient forest landscapes to cope with global change</strong>. <em>Global Change Biology </em>28, 4323– 4341 <em> </em><a href="https://doi.org/10.1111/gcb.16197">https://doi.org/10.1111/gcb.16197</a></p> <p>ABSTRACT. Natural disturbances exacerbated by novel climate regimes are increasing worldwide, threatening the ability of forest ecosystems to mitigate global warming through carbon sequestration and to provide other key ecosystem services. One way to cope with unknown disturbance events is to promote the ecological resilience of the forest by increasing both functional trait and structural diversity and by fostering functional connectivity of the landscape to ensure a rapid and efficient self-reorganization of the system. We investigated how expected and unexpected variations in climate and biotic disturbances affect ecological resilience and carbon storage in a forested region in southeastern Canada. Using a process-based forest landscape model (LANDIS-II), we simulated ecosystem responses to climate change and insect outbreaks under different forest policy scenarios – including a novel approach based on functional diversification and network analysis – and tested how the potentially most damaging insect pests interact with changes in forest composition and structure due to changing climate and management. We found that climate warming, lengthening the vegetation season, will increase forest productivity and carbon storage, but unexpected impacts of drought and insect outbreaks will drastically reduce such variables. Generalist, non-native insects feeding on hardwood are the most damaging biotic agents for our region, and their monitoring and early detection should be a priority for forest authorities. Higher forest diversity driven by climate-smart management and fostered by climate change that promotes warm-adapted species, might increase disturbance severity. However, alternative forest policy scenarios led to a higher functional and structural diversity as well as functional connectivity – and thus to higher ecological resilience – than conventional management. Our results demonstrate that adopting a landscape-scale perspective by planning interventions strategically in space and adopting a functional trait approach to diversify forests is promising for enhancing ecological resilience under unexpected global change stressors.</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.