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1,774 results for “accelerators”
Data of A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths
<pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths", journal = "Computer Methods in Applied Mechanics and Engineering", pages = " 113234", year = "2020", issn = "0045-7825", doi = "https://doi.org/10.1016/j.cma.2020.113234", author = "Wu, Ling and Nguyen, Van Dung and Kilingar, Nanda Gopala and Noels, Ludovic"</pre>
Data from: Multi-species restoration accelerates recovery of extinguished oyster reefs
<p>1. A multi-species approach to habitat restoration may boost the key processes (e.g. recruitment) that enable foundation species to overcome barriers to recovery. Natural systems tend to be formed by co-occurring foundation species whose synergy drives ecological productivity and resilience beyond that of single foundation species. Yet, restoration remains primarily a single-species focus enterprise where positive interactions are seldom incorporated into planning. A multi-species approach that prioritises species combinations to create emergent properties for their persistence may accelerate habitat recovery and the success of restoration programs.</p> <p>2. On the largest oyster reef restoration project in the Southern Hemisphere, we experimentally established canopy-forming kelp to test whether they could accelerate the natural recruitment of oysters to substrata monopolised by turf-forming algae. To understand whether facilitation of oysters was a function of the kelp themselves (biological facilitation) or the physical environment they create (physical facilitation), we compared recruitment to the understorey of living kelp and synthetic kelp mimics.</p> <p>3. Despite observing high density oyster recruitment to the turf-free underside of reef boulders (8,300 oysters/m2), turf algae appeared to inhibit oyster recruitment to the exposed surfaces of the reef, limiting their capacity to grow and form complex, three-dimensional habitat.</p> <p>4. Transplanted kelp, whether living or synthetic kelp mimics, effectively reduced the biomass of turf and enhanced oyster recruitment, creating turf-free substrata on the upper reef surfaces with up to 26 times the oyster recruitment than turf-covered substrata.</p> <p>5. Synthesis and applications. Our results provide proof-of-concept that incorporating the transplant of canopy-forming kelp to reefs constructed to restore oysters is not only achievable, but may be imperative to successfully restore oyster reefs in turf-dominated systems. Kelp transplants supressed the turf algae that otherwise excluded oysters from the reef surface, effectively shifting the competitive advantage toward oyster recovery by maintaining bare substrata for oyster recruitment. In demonstrating that co-restoring foundation species facilitates interactions that overcome barriers to recovery, we emphasise the need for restoration programs to incorporate the functional synergy of overlapping foundation species into planning, so to establish emergent properties that can accelerate the recovery of restored habitat.</p>
Accelerated reproduction is not an adaptive response to early life adversity in wild baboons
<p><span><span><span><span><span><span><span><span><span><span><span>In humans and other long-lived species, harsh conditions in early life often lead to profound differences in adult life expectancy. In response, natural selection is expected to accelerate the timing and pace of reproduction in individuals who experience some forms of early life adversity. However, the adaptive benefits of reproductive acceleration following early adversity remain untested. Here we test a recent version of this theory, the internal predictive adaptive response (iPAR) model, by assessing for the first time whether accelerating reproduction following early life adversity leads to higher lifetime reproductive success. We do so by leveraging 48 years of continuous, individual-based data from wild female baboons in the Amboseli ecosystem in Kenya, including prospective, longitudinal data on early life adversity, reproductive pace, and lifetime reproductive success.We find that while adversity in early life led to dramatically shorter lifespans, individuals who experiencedearly adversity didnot accelerate their reproduction compared to those who did not experience early adversity. Further, while accelerated reproduction predicted increased lifetime reproductive success overall, these benefits were not specific to females who experienced early life adversity. Instead, females only benefited from reproductive acceleration if they also led long lives. Our results call into question the theory that accelerated reproduction is an adaptive response to early life adversityin baboons and other long-lived species.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Accelerating homogenization of the global plant–frugivore meta-network
<p>Introductions of species by humans are causing the homogenization of species composition across biogeographic barriers. The ecological and evolutionary consequences of introduced species derive from their effects on networks of species interactions, but we lack a quantitative understanding of the impacts of introduced species on ecological networks and their biogeographic patterns globally. Here we address this data gap by analysing mutualistic seed-dispersal interactions from 410 local networks, encompassing 24,455 unique pairwise interactions between 1,631 animal and 3,208 plant species. We show that species introductions reduce biogeographic compartmentalization of the global meta-network, in which nodes are species and links are interactions observed within any local network. This homogenizing effect extends across spatial scales, decreasing beta diversity among local networks and modularity within networks. The prevalence of introduced interactions is directly related to human environmental modification and is accelerating, having increased sevenfold over the past 75 years. These dynamics alter the coevolutionary environments that mutualists experience, and we find that introduced species disproportionately interact with other introduced species. These processes are likely to amplify biotic homogenization in future ecosystems and may reduce the resilience of ecosystems by allowing perturbations to propagate more quickly and exposing disparate ecosystems to similar drivers. Our results highlight the importance of managing the increasing homogenization of ecological complexity. </p>
Seek and learn: automated identification of microevents in animal behaviour using envelopes of acceleration data and machine learning
<p>1. Animal-borne accelerometers have been used across more than 120 species to infer biologically significant information such as energy expenditure and broad behavioural categories. While the accelerometer's high sensitivity to movement and fast response times present the unprecedented opportunity to resolve fine-scale behaviour, leveraging this opportunity will require overcoming the challenge of developing general, automated methods to analyse the nonstationary signals generated by nonlinear processes governing erratic, impulsive movement characteristic of fine-scale behaviour. 2. We address this issue by conceptualising fine-scale behaviour in terms of characteristic microevents: impulsive movements producing brief (<1 s) shock signals in accelerometer data. We propose a 'seek-and-learn' approach: a novel microevent detection step first locates where shock signals occur ('seek') by searching for peaks in envelopes of acceleration data. Robust machine learning ('learn') employing meaningful features then separates microevents. We showcase the application of our method on tri-axial accelerometer data collected on ten free-living meerkats (Suricata suricatta) for four fine-scale foraging behaviours – searching for digging sites, one-armed digging, two-armed digging, and head jerks during prey ingestion. Annotated videos served as groundtruth, and performance was benchmarked against that of a variety of classical machine-learning approaches. 3. Microevent identification (μEvId) with eight features in a three-node hierarchical classification scheme employing logistic regression at each node achieved a mean overall accuracy of >85% during leave-one-individual-out cross-validation, and exceeded that of the best classical machine learning approach by 9%. μEvId was found to be robust not only to inter-individual variation but also to large changes in model parameters. 4. Our results show that microevents can be modelled as impulse responses of the animal body-and-sensor system. The microevent detection step retains only informative regions of the signal, which results in the selection of discriminative features that reflect biomechanical differences between microevents. Moving-window-based classical machine learning approaches lack this prefiltering step, and were found to be suboptimal for capturing the nonstationary dynamics of the recorded signals. The general, automated technique of μEvId, together with existing models that can identify broad behavioural categories, provides future studies with a powerful toolkit to exploit the full potential of accelerometers for animal behaviour recognition.</p>
Loss of the glucocorticoid receptor causes accelerated reproductive aging in female zebrafish
<p>Reproductive decline in mid-adult females isstablished phenotype of the aging process. Stress and the rise in glucocorticoids (GCs) accelerate reproductive aging, but little is known about the mechanisms involved. During stress, GCs activate the glucocorticoid receptor (GR), a ubiquitously expressed, ligand-bound transcription factor, to elicit physiological changes for restoring homeostasis. Here we tested the hypothesis that GC-GR signalling is essential for accelerating reproductive aging. To test this, we used a ubiquitous GR knockout (GRKO) zebrafish, which is inherently hypercortisolemic, to delineate the role of high cortisol and GR signalling on reproductive aging. The loss of GR led to premature reproductive aging, including high frequency of typical and atypical follicular atresia in vitellogenic oocytes, including yolk liquefaction and large inflammatory infiltrates. The reduction in oocyte quality was also associated with a decline in ovarian <i>tert</i> expression in the adult GRKO fish compared to the early-adult GRKO and adult wildtype zebrafish. Accelerated reproductive aging also impacted the progeny, including lower breeding success, fecundity, egg fertilization rate, and delayed somitogenesis and embryo survival in the adult GRKO fish. We adduce that GR signalling is essential for prolonging the reproductive life span and improving the egg quality and embryo viability in zebrafish.</p>
Modeling of Emittance Growth Due to Coulomb Collisions in Plasma-based Accelerators
<p>This dataset contains some supplementary material for the paper titled "Modeling of Emittance Growth Due to Coulomb Collisions in Plasma-based Accelerators" published in the journal of Physics of Plasmas. There are two folders in the compressed file. One includes two input files that are used for the open-source particle-in-cell code WarpX(https://github.com/ECP-WarpX/WarpX/). The other includes the data file, figure files, and the plotting scripts.</p>
Improved hybrid particle swarm optimizer with sine-cosine acceleration coefficients for transient electromagnetic inversion
<p>The Xishan Landslide Research area is located in Sichuan Lixian County, Southwest China. </p> <p>The N.O. 1 profile from Li et al., (2020), containing 15 measuring points, was chosen to test data fitting of IH-PSO-SCAC and to determine the hydrogeological structure of landslides.</p> <p> </p>
Viral Validation: How the New Journal 'Rapid Reviews: COVID-19′ Accelerates Peer Review and Publishing
<p><strong>Episode Summary:</strong></p> <p>In this episode we talk to Professor Stefano Bertozzi, editor-in-chief Rapid Reviews: COVID-19 (RR:C19). This new open access overlay journal from the MIT Press is aiming to publish expert peer reviews of new COVID-19 research which will help validate and accelerate the discovery of high impact, useful studies. We discussed how the journal will work, the role human and AI input will play, and the importance of pan-disciplinary content. </p> <p><strong>Episode Links:</strong></p> <ul> <li><a href="https://rapidreviewscovid19.mitpress.mit.edu/">Rapid Reviews: COVID-19 Journal</a></li> <li><a href="https://mitpress.mit.edu/">MIT Press</a></li> <li><a href="https://publichealth.berkeley.edu/people/stefano-bertozzi/">Professor Stefano Bertozzi</a> <ul> <li><a href="https://twitter.com/StefBertozzi">Twitter</a></li> </ul> </li> </ul>
Modeling of a chain of three plasma accelerator stages with the WarpX electromagnetic PIC code on GPUs
<p>This archive contains the data used for plots 1, 2, 3, 6 and 7 of the Physics of Plasma paper "Modeling of a chain of three plasma accelerator stages with the WarpX electromagnetic PIC code on GPUs" by J.-L. Vay et al (2021).</p> <p> </p> <p>To produce plots 1, 2 and 3, cd into the corresponding directory and run the python script.</p> <p> </p> <p>To produce plots 6 and 7, cd in the directory Figures_6_7 and run the script mkzplots.</p> <p> </p> <p>Simulations were performed on Summit (OLCF) with WarpX Version 19.10-2404-gafa3d4808ff0-dirty (code with slight modification from repo is given in archive warpx_source.tar.gz).</p> <p> </p> <p>Loaded Modules:</p> <p> 1) hsi/5.0.2.p5 3) lsf-tools/2.0 5) DefApps 7) spectrum-mpi/10.3.1.2-20200121 9) ccache/3.7.9 11) boost/1.66.0 13) hdf5/1.10.4 15) openblas/0.3.9-omp 17) nano/2.6.3</p> <p> 2) xalt/1.2.1 4) darshan-runtime/3.1.7 6) gcc/6.4.0 8) cuda/10.1.243 10) fftw/3.3.8 12) cmake/3.18.2 14) adios2/2.5.0 16) netlib-lapack/3.8.0 18) python/3.6.6-anaconda3-5.3.0</p>
Accelerating future mass loss of Svalbard glaciers from a multi-model ensemble
<p>This dataset contains the data behind the figures 2-13 and A1-A4 in the article "Accelerating future mass loss of Svalbard glaciers from a multi-model ensemble", which will be published in Journal of Glaciology.</p>
Data from: Acceleration and novelty: community restoration speeds recovery and transforms species composition in Andean cloud forest
Community-based tropical forest restoration projects, often promoted as a win-win solution for local communities and the environment, have increased dramatically in number in the past decade. Many such projects are underway in Andean cloud forests, which, given their extremely high biodiversity and history of extensive clearing, are understudied. This study investigates the efficacy of community-based tree-planting projects to accelerate cloud forest recovery, as compared to unassisted natural regeneration. This study takes place in northwest Andean Ecuador, where the majority of the original, highly diverse cloud forests have been cleared, in five communities that initiated tree-planting projects to restore forests in 2003. In 2011, we identified tree species along transects in planted forests (n = 5), naturally regenerating forests (n = 5), and primary forests (n = 5). We also surveyed 120 households about their restoration methods, tree preferences, and forest uses. We found that tree diversity was higher in planted than in unplanted secondary forest, but both were less diverse than primary forests. Ordination analysis showed that all three forests had distinct species compositions, although planted forests shared more species with primary forests than did unplanted forests. Planted forests also contained more animal-dispersed species in both the planted canopy and in the unplanted, regenerating understory than unplanted forests, and contained the highest proportion of species with use value for local people. While restoring forest increased biodiversity and accelerated forest recovery, restored forests may also represent novel ecosystems that are distinct from the region's previous ecosystems and, given their usefulness to people, are likely to be more common in the future.
Data from: Invasive plants accelerate nitrogen cycling: evidence from experimental woody monocultures
1. Although it is widely believed that non-native invasive species threaten the functional integrity of forest ecosystems, their impact on important ecosystem processes such as nitrogen (N) cycling is not well understood. 2. To examine how invasive species alter ecosystem N dynamics, we established monocultures of five phylogenetic pairs of native and non-native invasive understory woody species common to Eastern U.S. forests. 3. After three years, we found invaders increased N cycling by enhancing the flow of N to the soil through greater litter N production and litter N content, and increased the uptake of available soil N, via greater fine root production and specific root length. 4. Synthesis – Our results highlight the importance of linking above- and below-ground processes to better understand invader impacts on ecosystem nutrient processes. The rapid shifts in soil N processes as a result of invader dominance observed in our study suggest that invaders may be an important driver of forest ecosystem functioning.
Data from: Using parsimony-guided tree proposals to accelerate convergence in Bayesian phylogenetic inference
<p>Sampling across tree space is one of the major challenges in Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) algorithms. Standard MCMC tree moves consider small random perturbations of the topology, and select from candidate trees at random or based on the distance between the old and new topologies. MCMC algorithms using such moves tend to get trapped in tree space, making them slow in finding the globally most probable trees (known as `convergence') and in estimating the correct proportions of the different types of them (known as `mixing'). Here, we introduce a new class of moves, which propose trees based on their parsimony scores. The proposal distribution derived from the parsimony scores is a quickly computable albeit rough approximation of the conditional posterior distribution over candidate trees. We demonstrate with simulations that parsimony-guided moves correctly sample the uniform distribution of topologies from the prior. We then evaluate their performance against standard moves using six challenging empirical datasets, for which we were able to obtain accurate reference estimates of the posterior using long MCMC runs, a mix of topology proposals, and Metropolis coupling. On these datasets, ranging in size from 357 to 934 taxa and from 1,740 to 5,681 sites, we find that single chains using parsimony-guided moves usually converge an order of magnitude faster than chains using standard moves. They also exhibit better mixing, that is, they cover the most probable trees more quickly. Our results show that tree moves based on quick and dirty estimates of the posterior probability can significantly outperform standard moves. Future research will have to show to what extent the performance of such moves can be improved further by finding better ways of approximating the posterior probability, taking the trade-off between accuracy and speed into account.</p>
Data from: Island woodiness underpins accelerated disparification in plant radiations
The evolution of secondary (insular) woodiness and the rapid disparification of plant growth forms associated with island radiations show intriguing parallels between oceanic islands and tropical alpine sky islands. However, the evolutionary significance of these phenomena remains poorly understood and the focus of debate. We explore the evolutionary dynamics of species diversification and trait disparification across evolutionary radiations in contrasting island systems compared to their non‐island relatives. We estimate rates of species diversification, growth form evolution, and phenotypic space saturation for the classical oceanic island plant radiations – the Hawaiian silverswords and Macaronesian Echium ‐ and the well‐studied sky island radiations of Lupinus and Hypericum in the Andes. We show that secondary woodiness is associated with dispersal to islands and with accelerated rates of species diversification, accelerated disparification of plant growth forms, and occupancy of greater phenotypic trait space for island clades than their non‐island relatives, on both oceanic and sky islands. We conclude that secondary woodiness is a prerequisite that may act as a key innovation, manifest as the potential to occupy greater trait space, for plant radiations on island systems in general, further emphasizing the importance of combinations of clade‐specific traits and ecological opportunities in driving adaptive radiations.
Data from: Oligocene niche shift, Miocene diversification - cold tolerance and accelerated speciation rates in the St. John's Worts (Hypericum, Hypericaceae)
Background: Our aim is to understand the evolution of species-rich plant groups that shifted from tropical into cold/temperate biomes. It is well known that climate affects evolutionary processes, such as how fast species diversify, species range shifts, and species distributions. Many plant lineages may have gone extinct in the Northern Hemisphere due to Late Eocene climate cooling, while some tropical lineages may have adapted to temperate conditions and radiated; the hyper-diverse and geographically widespread genus Hypericum is one of these. Results:To investigate the effect of macroecological niche shifts on evolutionary success we combine historical biogeography with analyses of diversification dynamics and climatic niche shifts in a phylogenetic framework. Hypericum evolved cold tolerance c. 30 million years ago, and successfully colonized all ice-free continents, where today ~500 species exist. The other members of Hypericaceae stayed in their tropical habitats and evolved into ~120 species. We identified a 15–20 million year lag between the initial change in temperature preference in Hypericum and subsequent diversification rate shifts in the Miocene. Conclusions:Contrary to the dramatic niche shift early in the evolution of Hypericum most extant species occur in temperate climates including high elevations in the tropics. These cold/temperate niches are a distinctive characteristic of Hypericum. We conclude that the initial release from an evolutionary constraint (from tropical to temperate climates) is an important novelty in Hypericum. However, the initial shift in the adaptive landscape into colder climates appears to be a precondition, and may not be directly related to increased diversification rates. Instead, subsequent events of mountain formation and further climate cooling may better explain distribution patterns and species-richness in Hypericum. These findings exemplify important macroevolutionary patterns of plant diversification during large-scale global climate change.
Data from: Co-introduction of native mycorrhizal fungi and plant seeds accelerates restoration of post-mining landscapes
<p>1. Grasslands are among the most threatened terrestrial biomes, and habitat conservation alone will be insufficient to meet biodiversity goals. While restoration of indigenous grasslands is a priority, conflict with economic objectives means that incorporation of alternative habitats is necessary to offset grassland loss. With up to 800,000 km² of land affected by mining globally, there is an opportunity to create additional grassland habitat in post-mining landscapes.</p> <p>2. We aimed to assess whether co-introduction of native arbuscular mycorrhizal (AM) fungi and plants is an efficient means of initializing species rich vegetation recovery in barren post-mining landscapes. We established an experiment in three post-mining areas in Estonia, where we seeded plots with native plant seeds and inoculated them with trap cultured native AM fungi from a similar habitat. We measured the abundance and composition of soil AM fungal and aboveground plant communities in two consecutive years using relevés, high-throughput sequencing and fatty acid profiling.</p> <p>3. Our results demonstrate that co-introduction of native plants and AM fungi is an effective way to establish species rich vegetation in post-mining areas. Co-introduction of symbiotic partners resulted in higher richness, diversity and abundance of plants and AM fungi than when either partner was introduced individually. However, the plant and AM fungal communities in sown and inoculated plots were not distinct from those in uninoculated treatments; they rather formed a subset of all taxa present on the sites but exhibited higher diversity than uninoculated plots.</p> <p>4. Synthesis and applications: This study shows that managing the below-ground microbiome is an essential part of vegetation restoration. The availability of symbiotic partners can be considered a key aspect determining the diversity of restored vegetation. Targeted inoculations with native and habitat-specific AM fungi could therefore increase restoration success.28-Apr-2020</p>
Data from: Rapid growth accelerates telomere attrition in a transgenic fish
Background: Individuals rarely grow as fast as their physiologies permit despite the fitness advantages of being large. One reason may be that rapid growth is costly, resulting for example in somatic damage. The chromosomal ends, the telomeres, are particularly vulnerable to such damage, and telomere attrition thus influences the rate of ageing. Here, we used a transgenic salmon model with an artificially increased growth rate to test the hypothesis that rapid growth is traded off against the ability to maintain somatic health, assessed as telomere attrition. Results: We found substantial telomere attrition in transgenic fish, while maternal half-sibs growing at a lower, wild-type rate seemed better able to maintain the length of their telomeres during the same time period. Conclusions: Our results are consistent with a trade-off between rapid growth and somatic (telomere) maintenance in growth-manipulated fish. Since telomere erosion reflects cellular ageing, our findings also support theories of ageing postulating that unrepaired somatic damage is associated with senescence.
Data from: Artificial bat roosts did not accelerate forest regeneration in abandoned pastures in southern Costa Rica
Artificial roosts have been proposed as a tool for augmenting bat populations and catalyzing tropical forest regeneration. In the best case scenario, roosts would attract seed-carrying bats (Family Phyllostomidae) into degraded pastures and form nucleating patches of native vegetation. We tested this scenario by monitoring 48 artificial roosts in pastures and adjacent forest fragments in southern Costa Rica over 2 years. Half of the pasture roosts were exposed to direct sunlight and half were affixed to 4-m living stakes of Erythrina poeppigiana (Walp.) O.F. Cook that provided shade. After 2 years, 94% of roosts in forest and 40% of roosts in pasture had been used by bats at least once – primarily for nocturnal feeding. Maximum daily temperature inside of roosts was the best microclimatic predictor of bat visitation. We identified at least five species of bats that visited roosts, including two frugivores (Carollia and Glossophaga spp.). Bat-mediated seed dispersal increased with the number of frugivorous bat detections at roosts, but seedling recruitment did not increase with either bat detections or seed abundance over a 2-year period. Given that bats rarely used roosts in pastures, and bat visitation did not increase seedling recruitment, our data suggest that artificial bat roosts did not accelerate forest regeneration in abandoned, premontane pastures in southern Costa Rica. This method could be refined by investigating alternative roost designs, barriers to seedling recruitment below roosts, improvement of roost microclimatic conditions in pastures, and ability of bats to detect roosts in different habitats.
Data from: A curated and standardized adverse drug event resource to accelerate drug safety research
Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) data, which are the mainstay of traditional drug safety surveillance, are used for hypothesis generation and to validate the newer approaches. The publicly available US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data requires substantial curation before they can be used appropriately, and applying different strategies for data cleaning and normalization can have material impact on analysis results. We provide a curated and standardized version of FAERS removing duplicate case records, applying standardized vocabularies with drug names mapped to RxNorm concepts and outcomes mapped to SNOMED-CT concepts, and pre-computed summary statistics about drug-outcome relationships for general consumption. This publicly available resource, along with the source code, will accelerate drug safety research by reducing the amount of time spent performing data management on the source FAERS reports, improving the quality of the underlying data, and enabling standardized analyses using common vocabularies.
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.