Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
603
datasets available to search
ShareScore release 0.9.0
Dataset results
603 results for “fisheries”
FIGURE 8 in Commercial fisheries in a mega unregulated floodplain river: Assessment of the most favourable hydrological conditions for its preservation
FIGURE 8 Schematic representation of interannual variation of maximum water levels (Hmax; 1935–2016) showing the influence on fish catches of hydroclimatic fluctuations (humid–dry periods). Note higher fish catches after largest spring– summer flood (SSF; ()) events (Hmax> 4.5 m at Sate Fe Port gauge). Probability of anthropic influence was indicated with lines of distinct thickness. WL: water level. () Higher fish catches, () El Nino (ENSO), () Historial disconnection event, () Larger SpringSummerFlood
FIGURE 4 in Commercial fisheries in a mega unregulated floodplain river: Assessment of the most favourable hydrological conditions for its preservation
FIGURE 4 Distance-based redundancy analysis (dbRDA) of year-to-year differences in commercial fish catches in the middle Paraná River from 1935 to 2016 explained and structured by flow regime variables: fisheries data from (a) PPARG, Producción Pesquera Argentina; (b) PPSF, Ministerio de Producción, Sub-directorate General of Ecology of Santa Fe Province; (c) INALI, Argentine National Institute of Limnology; (d) LH, Laboratory of Hydroecology
Supplementary material 1 from: Petza D, Anastopoulos P, Coll M, Garcia SM, Kaiser M, Kalogirou S, Lourdi I, Rice J, Sciberras M, Katsanevakis S (2021) The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol. Research Ideas and Outcomes 7: e70486. https://doi.org/10.3897/rio.7.e70486
The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol - Search Strategy
Supplementary material 2 from: Petza D, Anastopoulos P, Coll M, Garcia SM, Kaiser M, Kalogirou S, Lourdi I, Rice J, Sciberras M, Katsanevakis S (2021) The contribution of Area-Based Fisheries Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol. Research Ideas and Outcomes 7: e70486. https://doi.org/10.3897/rio.7.e70486
The contribution of Area-Based Fisheries' Management Measures to Fisheries Sustainability and Marine Conservation: a global scoping review protocol - Data Extraction Tool
What can be learned from fishers' perceptions for fishery management planning? Case study insights from Sainte-Marie, Madagascar
<p>Local support is critical to the success and longevity of fishery management initiatives. Previous research suggests that how resource users perceive ecological changes, explain them, and cope with them, influences local support. The objectives of this study were two-fold. First, we collated local fishers' knowledge to characterize the long-term socio-ecological dynamics of the small-scale fishery of Sainte-Marie Island, in Madagascar. Second, we empirically assessed the individual- and site-level factors influencing support for fishery restrictions. Our results indicate that fishers observed a decline in fish abundance and catch sizes, especially in nearshore areas; many also perceived a reduction in fish sizes and the local disappearance of species. To maintain their catches, most fishers adapted by fishing harder and further offshore. Accordingly, fishers identified increased fishing effort (number of fishers and gear evolution) as the main cause of fishery changes. Collectively, our results highlight that the transition from a subsistence to commercial fishery, and resulting changes in the relationship between people and the fisheries, was an underlying driver of fishery changes. Additionally, we found that gender, membership to local associations, coping mechanisms, and perceptions of ecological health, were all interlinked and significantly associated with conservation-oriented attitudes. Conservation-oriented attitudes, however, were not associated with fishers' willingness to decrease fishing. In the short-term, area-based restrictions could contribute to building support for conservation. In the long-term, addressing the underlying causes of the decline will necessitate collaborations among the various groups involved to progressively build livelihood flexibility. Collectively, our study provides additional insights on the individual- and site-level factors influencing support for fishery restrictions. It also highlights the importance of dialoguing with fishers to ensure that fishery management plans are adapted to the local context.</p>
Data from: Genotyping-in-Thousands by sequencing panel development and application to inform kokanee salmon (Oncorhynchus nerka) fisheries management at multiple scales
<p>The ability to differentiate life history variants is vital for estimating fisheries management parameters, yet traditional survey methods can be inaccurate in mixed-stock fisheries. Such is the case for kokanee, the resident freshwater form of sockeye salmon (<i>Oncorhynchus nerka</i>), which exhibits various reproductive ecotypes (stream-, shore-, deep-spawning) that co-occur with each other and/or anadromous <i>O. nerka</i> in some systems across their pan-Pacific distribution. Here, we developed a multi-purpose Genotyping-in-Thousands by sequencing (GT-seq) panel of 288 targeted single nucleotide polymorphisms (SNPs) to enable accurate kokanee stock identification by geographic basin, migratory form, and reproductive ecotype across British Columbia, Canada. The GT-seq panel exhibited high self-assignment accuracy (93.3%) and perfect assignment of individuals not included in the baseline to their geographic basin, migratory form, and reproductive ecotype of origin. The GT-seq panel was subsequently applied to Wood Lake, a valuable mixed-stock fishery, revealing high concordance (>98%) with previous assignments to ecotype using microsatellites and TaqMan<span> </span>SNP genotyping assays, while improving resolution, extending a long-term time-series, and demonstrating the scalability of this approach for this system and others.</p>
The consequences of coastal offsets for fisheries
<ol> <li><span>Biodiversity offsetting is increasingly used to mitigate biodiversity impacts from development, but the practice of offsetting rarely considers how to also mitigate losses of ecosystem services. Offset rules, such as how near an offset must be to an impact site, may help ensure biodiversity offsets also counterbalance losses of ecosystem services but this has not yet well understood. </span></li> <li><span>We explored how different rules for siting coastal offsets could change net impacts to a provisioning ecosystem service: fishery resources in Queensland, Australia. A spatially-explicit model incorporating supply, flow and demand of fishery resources was developed to simulate contributions of offset sites to commercial fisheries in Queensland, Australia. We simulated offsets for losses due to 63 real projects that damaged mangroves and 14 projects damaging seagrasses. </span></li> <li><span>We found that the percentage of species suffering net negative outcomes for the whole commercial fishery increased from about 68% when offsets were located close to impact sites to > 85% when there were no restrictions on offset location. All fisheries for seagrass offsets suffered net economic losses under both scenarios, but these were worse when offsets were not required to be near to impact sites.</span></li> <li><span>Offsetting outcomes varied substantially across species. Species with shorter maximum dispersal distance and higher dispersal decay parameters suffered greater net losses.</span></li> <li> <span><i>Synthesis and applications.</i></span> <span>Our model quantified impacts of fishery habitat depletion and offsets on fishery resources and the approach can be applied to assess impacts of losses of fishery habitats globally. The findings suggest that to minimize losses of fishery resources caused by habitat depletion, offset policy should generally locate offset sites at the locations available for restoration that are nearest to impact sites, unless specific information about the relative contributions of sites to impacted fisheries is available to guide offset location.</span> </li> </ol>
Data for: Evaluating conditions for MFAD fisheries development in the Caribbean and Bermuda
<p class="MsoNormal">Moored fish aggregating devices (MFADs) are promoted in small-scale fisheries around the world as tools to increase fisher incomes, enhance food security, and ease pressure on degraded inshore fisheries. Despite their growing popularity, the biophysical and socioeconomic contexts in which MFAD fisheries are implemented - and the implications of these contexts for MFAD fishery success - remain poorly understood. Here we develop a framework identifying and evaluating factors likely to influence MFAD fishery outcomes and apply it across states in the insular Caribbean region. We highlight the heterogeneity in MFAD regulatory strength, catch marketability, social need, and costs among states and discuss best approaches for optimizing MFAD benefits across different socioeconomic scenarios.</p>
Using seabird and whale distribution models to estimate spatial consumption of krill to inform fishery management
<p>Ecosystem dynamics at the north-west Antarctic Peninsula are driven by interactions between physical and biological processes. For example, baleen whale populations are recovering from commercial harvesting against the backdrop of rapid climate change, including reduced sea-ice extent and changing ecosystem composition. Concurrently, the commercial harvesting of Antarctic krill is increasing, with the potential to increase the likelihood for competition with and between krill predators and the fishery. However, understanding the ecology, abundance, and spatial distribution of krill predators is often limited, outdated, or at spatial scales that do not match those desired for effective fisheries management. We update current knowledge of predator dependence on krill by integrating telemetry-based data, at-sea observational surveys, estimates of predator abundance, and physiological data to estimate the spatial distribution of krill consumption during the austral summer by three species of Pygoscelis penguin, 11 species of flying seabirds, one species of pinniped and two species of baleen whale. Our models show that the majority of important areas for krill-predator foraging are close to penguin breeding colonies in nearshore areas where humpback whales also regularly feed, and along the shelf-break, though we caution that not all known krill predators are included in these analyses. We show that krill consumption is highly variable across the region, and often concentrated at fine spatial scales, emphasising the need for management of the local krill fishery at relevant temporal and spatial scales. We also note that krill consumption by recovering populations of krill predators provides further evidence in support of the krill surplus hypothesis, and highlight that despite less than comprehensive data, cetaceans are likely to consume a significant proportion of the krill consumed by natural predators but are not currently considered directly in the management of the krill fishery. If management of the krill fishery is to be precautionary and operate in a way that minimises the risks to krill predator populations, it will be necessary in future analyses, to include up-to-date and precise abundance and consumption estimates for pack-ice seals, finfish, squid, and other baleen whale species not currently considered.</p>
Subspecies and Distribution. T.t.talpoidesRichardson,1828—NCMontana,USA,andNEintoAlberta,Saskatchewan,andManitoba,Canada. T.t.aequalidensDalquest,1942—SEWashingtonandadjacentpartsofIdaho,USA. T.t.agrestisMerriam,1908—SCColorado,USA. T.t.andersoniGoldman,1939—SEAlberta,Canada. T.t.attenuatusHall&Montague,1951—SEWyomingandadjacentpartsofColorado,USA. T.t.bridger:Merriam,1901—SEIdaho,extendingEandSintoWWyoming,USA. T.t.bullatusBailey,1914—EMontana,extendingintoNorthDakotaandColorado,USA,andSaskatchewan,Canada. T.t.cary:Bailey,1914—NCWyoming,USA. T.t.cheyennensisSwenk,1941—NEWyomingandadjacentpartsofNebraska,USA. T. t. cognatusJohnstone, 1955 — SE British Columbia, Canada. T.t.columbianusBailey,1914—SCWashingtonandadjacentpartsofOregon,USA. T.t.devexusHall&Dalquest,1939—ECWashington,USA. T.t.douglasiiRichardson,1829—WWashington,USA. T.t.durrantiKelson,1949—WCColoradoextendingintoUtah,withdisjunctpopulationsinSEUtah,USA. T.t.falciferGrinnell,1926—CNevada,USA. T. t. fisheri Merriam, 1901 — NE California extending into W Nevada, USA. T.t.fossor].A.Allen,1893—SWColoradointoNNewMexico,withdisjunctpopulationsonArizona—NewMexicoborder,USA. T.t.fuscusMerriam,1891—CIdahointoNCWashington,USA,andSBritishColumbia,Canada. T.t.gracilisDurrant,1939—NENevadaandadjacentpartsofUtahextendingSWintocentralNevada,USA. T.t.immunisHall&Dalquest,1939—SCWashington,USA. T.t.incensusGoldman,1939—SBritishColumbia,Canada. T.t.kaibabensisGoldman,1938—NArizona,USA. T:t.kelloggiGoldman,1939—SCMontana,USA. T.t.levisGoldman,1938—SCUtahandadjacentpartsofArizona,USA. T.t.limosusMerriam,1901—SCWashingtonandadjacentpartsofOregon,USA. T:t.loringiBailey,1914—SCAlberta,Canada. T.t.macrotisMiller,1930—NCColorado,USA. T.t.mediusGoldman,1939—SEBritishColumbia,Canada. T.t.meritusHall,1951—NWColoradoandadjacentpartsofWyoming,USA. T.t.monoensisHuey,1934—WCNevadaandadjacentpartsofCalifornia,USA. T.t.moore:Goldman,1938—CUtah,USA. T.t.nebulosusBailey,1914—WSouthDakotaandadjacentpartsofWyoming,USA. T.t.ociusMerriam,1901—NWColoradoandadjacentpartsofUtahandWyoming,USA. T:t.oquirrhensisDurrant,1939—NCUtah,USA. T.t.parowanensisGoldman,1938—SWUtah,USA. T.t.pierreicolusSwenk,1941—WSouthDakotaandadjacentpartsofMontana,Wyoming,andNebraska,USA. T:t.pryoriBailey,1914—SCMontana,USA. T.t.quadratusMerriam,1897—EOregonandadjacentpartsofIdaho,Nevada,andCalifornia,USA. T.t.ravusDurrant,1946—NEUtah,USA. T.t.relicinusGoldman,1939—SCIdaho,USA. T.t.retrorsusHall,1951—ECColorado,USA. T.t.rostralisHall&Montague,1951—CColoradoandadjacentpartsofWyoming,USA. T.t.rufescensWied-Neuwied,1839—NorthDakotaandadjacentpartsofSouthDakotaandMinnesota,USA,andManitobaandSaskatchewan,Canada. T.t.saturatusBailey,1914—NIdahoandadjacentpartsofMontana,USA,andBritishColumbia,Canada. T. t. segregatusJohnstone, 1955 — SE British Columbia, Canada. T.t.shawiTaylor,1921—SCWashington,USA. T:t.tayloriHooper,1940—NWNewMexico,USA. T.t.tenellusGoldman,1939—NWWyomingandadjacentpartsofMontana,USA. T.t.trivialisGoldman,1939—CMontana,USA. T.t.wintaMerriam,1901—NEUtah,USA. T.t.wallowaHall&Orr,1933—NEOregonandadjacentpartsofWashington,USA. T.t.wasatchensisDurrant,1946—NEUtah,USA. T.t.whitmaniDrake&Booth,1952—SEWashington,USA. T: t. yakimensis Hall & Dalquest, 1939 — SC Washington, USA. in Geomyidae
Subspecies and Distribution. T.t.talpoidesRichardson,1828—NCMontana,USA,andNEintoAlberta,Saskatchewan,andManitoba,Canada. T.t.aequalidensDalquest,1942—SEWashingtonandadjacentpartsofIdaho,USA. T.t.agrestisMerriam,1908—SCColorado,USA. T.t.andersoniGoldman,1939—SEAlberta,Canada. T.t.attenuatusHall&Montague,1951—SEWyomingandadjacentpartsofColorado,USA. T.t.bridger:Merriam,1901—SEIdaho,extendingEandSintoWWyoming,USA. T.t.bullatusBailey,1914—EMontana,extendingintoNorthDakotaandColorado,USA,andSaskatchewan,Canada. T.t.cary:Bailey,1914—NCWyoming,USA. T.t.cheyennensisSwenk,1941—NEWyomingandadjacentpartsofNebraska,USA. T. t. cognatusJohnstone, 1955 — SE British Columbia, Canada. T.t.columbianusBailey,1914—SCWashingtonandadjacentpartsofOregon,USA. T.t.devexusHall&Dalquest,1939—ECWashington,USA. T.t.douglasiiRichardson,1829—WWashington,USA. T.t.durrantiKelson,1949—WCColoradoextendingintoUtah,withdisjunctpopulationsinSEUtah,USA. T.t.falciferGrinnell,1926—CNevada,USA. T. t. fisheri Merriam, 1901 — NE California extending into W Nevada, USA. T.t.fossor].A.Allen,1893—SWColoradointoNNewMexico,withdisjunctpopulationsonArizona—NewMexicoborder,USA. T.t.fuscusMerriam,1891—CIdahointoNCWashington,USA,andSBritishColumbia,Canada. T.t.gracilisDurrant,1939—NENevadaandadjacentpartsofUtahextendingSWintocentralNevada,USA. T.t.immunisHall&Dalquest,1939—SCWashington,USA. T.t.incensusGoldman,1939—SBritishColumbia,Canada. T.t.kaibabensisGoldman,1938—NArizona,USA. T:t.kelloggiGoldman,1939—SCMontana,USA. T.t.levisGoldman,1938—SCUtahandadjacentpartsofArizona,USA. T.t.limosusMerriam,1901—SCWashingtonandadjacentpartsofOregon,USA. T:t.loringiBailey,1914—SCAlberta,Canada. T.t.macrotisMiller,1930—NCColorado,USA. T.t.mediusGoldman,1939—SEBritishColumbia,Canada. T.t.meritusHall,1951—NWColoradoandadjacentpartsofWyoming,USA. T.t.monoensisHuey,1934—WCNevadaandadjacentpartsofCalifornia,USA. T.t.moore:Goldman,1938—CUtah,USA. T.t.nebulosusBailey,1914—WSouthDakotaandadjacentpartsofWyoming,USA. T.t.ociusMerriam,1901—NWColoradoandadjacentpartsofUtahandWyoming,USA. T:t.oquirrhensisDurrant,1939—NCUtah,USA. T.t.parowanensisGoldman,1938—SWUtah,USA. T.t.pierreicolusSwenk,1941—WSouthDakotaandadjacentpartsofMontana,Wyoming,andNebraska,USA. T:t.pryoriBailey,1914—SCMontana,USA. T.t.quadratusMerriam,1897—EOregonandadjacentpartsofIdaho,Nevada,andCalifornia,USA. T.t.ravusDurrant,1946—NEUtah,USA. T.t.relicinusGoldman,1939—SCIdaho,USA. T.t.retrorsusHall,1951—ECColorado,USA. T.t.rostralisHall&Montague,1951—CColoradoandadjacentpartsofWyoming,USA. T.t.rufescensWied-Neuwied,1839—NorthDakotaandadjacentpartsofSouthDakotaandMinnesota,USA,andManitobaandSaskatchewan,Canada. T.t.saturatusBailey,1914—NIdahoandadjacentpartsofMontana,USA,andBritishColumbia,Canada. T. t. segregatusJohnstone, 1955 — SE British Columbia, Canada. T.t.shawiTaylor,1921—SCWashington,USA. T:t.tayloriHooper,1940—NWNewMexico,USA. T.t.tenellusGoldman,1939—NWWyomingandadjacentpartsofMontana,USA. T.t.trivialisGoldman,1939—CMontana,USA. T.t.wintaMerriam,1901—NEUtah,USA. T.t.wallowaHall&Orr,1933—NEOregonandadjacentpartsofWashington,USA. T.t.wasatchensisDurrant,1946—NEUtah,USA. T.t.whitmaniDrake&Booth,1952—SEWashington,USA. T: t. yakimensis Hall & Dalquest, 1939 — SC Washington, USA.
Subspecies and Distribution. M.a.abbreviatusG.S.Miller,1899—knownonlyfromthetypelocalityonHallI,Alaska M. a. fisheri Merriam, 1900 — known only from the type locality on St. M.a. I, Alaska. in Cricetidae
Subspecies and Distribution. M.a.abbreviatusG.S.Miller,1899—knownonlyfromthetypelocalityonHallI,Alaska M. a. fisheri Merriam, 1900 — known only from the type locality on St. M.a. I, Alaska.
Subspecies and Distribution. S.llongurostrisBachman,1837—fromEOklahomaEtoNMarylandandfromNIIlinoisandNIndianaStoNFlorida(EUSA). S.l.eionisJ.A.Davis,1957—N&CFlorida(SEUSA). S. l. fisheri Merriam, 1895 — Dismal Swamps of SE Virginia and NE North Carolina (EC USA). in Soricidae
Subspecies and Distribution. S.llongurostrisBachman,1837—fromEOklahomaEtoNMarylandandfromNIIlinoisandNIndianaStoNFlorida(EUSA). S.l.eionisJ.A.Davis,1957—N&CFlorida(SEUSA). S. l. fisheri Merriam, 1895 — Dismal Swamps of SE Virginia and NE North Carolina (EC USA).
Figure 1 in Bycatch of Asteroidea from shrimp trawl fishery in the southwestern Atlantic Ocean - Brazil
Figure 1. Map of the study area of Marine Protected of the Santana Archipelago, Macaé (RJ).
Datasets for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"
<p>CMIP6-forced EcoOcean data for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"</p> <p> </p>
Seasonal Variations of Microbial Communities and Viral Diversity in Fishery-Enhanced Marine Ranching Sediments: Insights into Metabolic Potentials and Ecological Interactions
<p>Sediment samples were collected in four seasons from May 2022 to January 2023 from the Tian coastal marine ranching (36°91′ N and 122°15′ E) located along Jinghai Bay in Weihai City, Shandong Province, China. We employed amplicon (16S and 18S) and metagenomic approaches aiming to reveal the seasonal patterns of microbial communities, bacterial-eukaryotic interactions, whole metabolic potential, and their coupling mechanisms with carbon (C), nitrogen (N), and sulfur (S) cycling in marine ranching sediments. Additionally, the characterization and diversity of viral communities in different seasons were explored in marine ranching sediments. This dataset mainly includes amplicon sequencing (16S and 18S) generated ASV tables (after rarefied), corresponding taxonomic classification tables, metagenome assembly (Single assembly and Co-assembly), <span>metagenome-assembled genomes (MAGs)</span> sequences, and <span>viral operational taxonomic units (vOTUs)</span> sequences.</p>
Impact of Invasive Species & Ecosystem-Based Fisheries Management
<p>During the Sabai Webinar Series 14, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), Burmese Experts, including Mr Phoe Cho, Fisheries Specialist, Mr Thadoe Wai, Local Freshwater Ecologist and Mr Tin Shine Aung: Sustainability Consultant and Researcher engaged in a discussion on <br>ecological impact of invasive fish species in Myanmar. </p> <p>They highlighted the consequences of introducing invasive fish species into natural water sources, such as rivers, streams, & seas and why ecosystem-based fisheries management is important. </p> <p>This Sabai Webinar Series was conducted under the Edu4SD project.</p> <p> </p>
Supplementary material 1 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Taxonomic list of fish species in phylogenetic order (Nelson 2006), captured from October 2010 to August 2011 on the coast of Alagoas. : Data type: species data
Supplementary material 1 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Taxonomic list of fish species in phylogenetic order (Nelson 2006), captured from October 2010 to August 2011 on the coast of Alagoas. : Data type: species data
FIG. 10 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology
FIG. 10. Geoff Moser in 1989 with a rainbow trout on the bank of the Ahuriri River, New Zealand, just before dark, and just before releasing the fish. Photograph by his son, David Moser.
FIG. 8 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology
FIG. 8. The ichthyoplankton group at the SWFSC, c. 1983. From left to right: Elizabeth (Betsy) Stevens, Geoff Moser, Elaine Sandknop Acuna, Eric Bertelsen (Visiting Scientist), Barbara Sumida, and Morgan Busby. Photo courtesy of Morgan Busby.
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.