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6,452 results for “Application”
Pollen collection by the western honey bee and common eastern bumble bee foraging in a common landscape and applications for agri-environment schemes
Open the record for dataset details and reuse information.
Optimized SMRT-UMI protocol produces highly accurate sequence datasets from diverse populations – application to HIV-1 quasispecies
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Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis
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Cover crop application on dredged sediments increases corn yield through microorganism-associated enzyme-driven nutrient mineralization.
Common strategies to mitigate soil degradation of agricultural soils include cover crop application and soil amendment addition. Applying dredged sediments as a soil amendment is gaining popularity since they often provide benefits other amendments lack; however, their use with a cover crop is largely unexplored. To understand how cover crop use changes the restorative properties of dredged sediments, we assessed soil physical and chemical properties, enzymatic activities, and corn yield for plots of dredged sediments with and without a cover crop. Cover crop application on dredged sediments increased corn yields by ~24% when compared to dredged sediments alone. Increases in corn yield were driven by changes in nutrient mineralization, specifically within the nitrogen cycle. The physical and chemical properties of dredged sediments remained unchanged regardless of cover crop application. Our results suggest that when cover crops are applied to dredged sediments, crop yield increased through microorganism-driven nutrient mineralization. However, the physical and chemical environment remained optimal for corn growth within dredged sediments, regardless of cover crop application. This research is a vital step into understanding the use of dredged sediments in agricultural soil systems.
Bio-oil aqueous phase as a laccase inducer in Pleurotus ostreatus: laccase properties and applications, Iowa, USA 2021-2023
This dataset documents the experimental conditions, protocols, and measurements generated during the investigation of bio-oil aqueous phase (AP) as an inducer for laccase enzyme production by Pleurotus ostreatus using prairie biomass as a substrate. The data include detailed descriptions of AP preparation from corn stover pyrolysis, chemical characterization of AP and prairie biomass, and the design of two-stage solid-state fermentation experiments with variables such as AP and copper concentrations, fermentation times, and environmental parameters (pH, temperature). The dataset also contains raw and processed measurements of laccase activity, protein concentration, reducing capacity, and other relevant biochemical properties across multiple experimental runs. In addition to fermentation and enzyme production data, the dataset provides information on downstream application assays. These include quantitative data on dye decolorization (crystal violet, coomassie blue, methyl orange), saccharification yields from prairie biomass pretreated with laccase, and antibiotic detoxification assays using tetracycline.
The effects of a clinically feasible application of low-level laser therapy on the rate of orthodontic tooth movement: A triple-blinded split-mouth randomized controlled clinical trial.
<p>Dataset for all study's analyses.</p>
Pre - application of dentin bonding agent prevents discoloration caused by mineral trioxide aggregate
<p>we provide the data regarding the effect of dentin bonding agent which could help prevent discoloration caused by mineral trioxide aggregate.</p>
Data and code for "A Library of Late Transition Metal Alloy Dielectric Functions for Nanophotonic Applications"
<p>This data set contains dielectric functions for the ten binary alloys comprised of the late transition metals most commonly employed in plasmonics (Ag, Au, Cu, Pd, Pt).</p>
Datasets for ``Application of a helicity proxy to edge-on galaxies''
<pre>The run directories contain unformatted data files either as data/proc0 (for 128x128x32_20kc_BDMSST93c_Oml) or as data/proc0-3 (for 128x64_20kc_BDMSST93_wind10a), or as bb.sav just for the magnetic field components in the other directories. They can be read directly with the corresponding idl routines that are in the directory (run_directories/run_idl) together with those delivered with the Pencil Code (https://github.com/pencil-code).</pre>
The reasonable application of Bayesian multi-model averaging to produce gross primary production with high quality in China
<p>To reduce the uncertainties of output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), Bayesian Model Averaging (BMA) was trained by observed GPP from ChinaFLUX and a set of monthly 0.5° by 0.5° GPP data from 1948 to 2010 for China was produced.</p>
Data from: One panel to rule them all: DArTcap genotyping for population structure, historical demography, and kinship analyses, and its application to a threatened shark
With recent advances in sequencing technology, genomic data are changing how important conservation management decisions are made. Applications such as Close-Kin Mark-Recapture demand large amounts of data to estimate population size and structure, and their full potential can only be realised through ongoing improvements in genotyping strategies. Here we introduce DArTcap, a cost-efficient method that combines DArTseq and sequence capture, and illustrate its use in a high resolution population analysis of Glyphis garricki, a rare, poorly known and threatened euryhaline shark. Clustering analyses and spatial distribution of kin pairs from four different regions across northern Australia and one in Papua New Guinea, representing its entire known range, revealed that each region hosts at least one distinct population. Further structuring is likely within Van Diemen Gulf, the region that included the most rivers sampled, suggesting additional population structuring would be found if other rivers were sampled. Coalescent analyses and spatially explicit modelling suggest that G. garricki experienced a recent range expansion during the opening of the Gulf of Carpentaria following the conclusion of the Last Glacial Maximum. The low migration rates between neighbouring populations of a species that is found only in restricted coastal and riverine habitats show the importance of managing each population separately, including careful monitoring of local and remote anthropogenic activities that may affect their environments. Overall we demonstrated how a carefully chosen SNP panel combined with DArTcap can provide highly accurate kinship inference and also support population structure and historical demography analyses, therefore maximising cost-effectiveness.
An experimental application of Hypena opulenta as a biocontrol agent for the invasive vine Vincetoxicum rossicum
<p>1. Pre-release testing for biological control agents is focused primarily on assessment of host-range specificity and safety of potential agents. Agent impact is considered pre-release, however the ultimate assessment of an agent must occur following release in the field under the target population levels and conditions of the invaded ecosystems. The invasive Eurasian vine, Vincetoxicum rossicum, has spread aggressively through its invaded range of eastern North America since its initial introduction in the late 1800's. In laboratory tests, the Eurasian moth Hypena opulenta has shown great promise as a potential control agent for V. rossicum.</p> <p>2. We were interested in the defoliating ability of H. opulenta and its subsequent effect on the seed production of V. rossicum under field conditions. To examine this, we established a field site near Kirkfield, Ontario that consisted of meadow and forest understory plots, both of which were highly invaded by V. rossicum.</p> <p>3. We report highly significant feeding by H. opulenta in both light conditions. Unexpectedly, we observed a significant increase in seed production following folivory in shade conditions. We observed no significant effect of larval folivory on seed production under sun conditions, where V. rossicum seed production is greater by a factor of ten as compared to shade conditions.</p> <p>4. Synthesis and application: It is unclear how continuous exposure to folivory by H. opulenta will affect mature V. rossicum stands, although it might be expected that such populations would invest in defenses to herbivory, possibly at the expense of reproductive output. In order to better understand if V. rossicum populations in either light condition could exhibit longer-term compensatory growth in response to folivory, further experimental work is needed that examines inter-annual variability in V. rossicum reproduction at variable H. opulenta densities.</p>
Data from: RapidRat: development, validation and application of a genotyping-by-sequencing panel for rapid biosecurity and invasive species management
<p>Invasive alien species (IAS) are among the main causes of global biodiversity loss. Invasive brown (Rattus norvegicus) and black (R. rattus) rats, in particular, are leading drivers of extinction on islands, especially in the case of seabirds where >50% of all extinctions have been attributed to rat predation. Eradication is the primary form of invasive rat management, yet this strategy has resulted in a ~10-38% failure rate on islands globally. Genetic tools can help inform IAS management, but such applications to date have been largely reactive, time-consuming, and costly. Here, we developed a Genotyping-in-Thousands by sequencing (GT-seq) panel for rapid species identification and population assignment of invasive brown and black rats (RapidRat) in Haida Gwaii, an archipelago comprising ~150 islands off the central coast of British Columbia, Canada. We constructed an optimized panel of 443 single nucleotide polymorphisms (SNPs) using previously generated double-digest restriction-site associated DNA (ddRAD) genotypic data (27,686 SNPs) from brown (n=295) and black rats (n=241) sampled throughout Haida Gwaii. The informativeness of this panel for identifying individuals to species and island of origin was validated relative to the ddRAD results; in all comparisons, admixture coefficients and population assignments estimated using RapidRat were consistent. To demonstrate application, 20 individuals from novel invasions of three islands (Agglomerate, Hotspring, Ramsay) were genotyped using RapidRat, all of which were confidently assigned (>98.5% probability) to Faraday and Murchison Islands as putative source populations. These results indicated that a previous eradication on Hotspring Island was conducted at an inappropriate geographic scale; future management should expand the eradication unit to include neighboring islands to prevent re-invasion. Overall, we demonstrated that RapidRat is an effective tool for managing invasive rat populations in Haida Gwaii and provided a clear framework for GT-seq panel development for informing biodiversity conservation in other systems.</p>
Models from: Exploring ensemble applications for multi-sequence myocardial pathology segmentation
<p>Trained models for the MyoPS2020 challenge http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/MyoPS20/</p> <p>As described in the publication: "Exploring ensemble applications for multi-sequence myocardial pathology segmentation"</p> <p>Source code available at: https://github.com/chfc-cmi/miccai2020-myops</p>
Application of spectral library prediction for parallel reaction monitoring of viral peptides_DDA_data
<p><strong>Project description: </strong></p> <p>A major part of the analysis of parallel reaction monitoring (PRM) data is the comparison of observed fragment ion intensities to a library spectrum. Classically, these libraries are generated by data-dependent acquisition (DDA). Here we test Prosit, a published deep neural network algorithm, for its applicability in predicting spectral libraries for PRM. For this purpose, we targeted 1,529 precursors derived from synthetic viral peptides and analyzed the data with Prosit and DDA-derived libraries. Additionally, we used a spectral library predicted by Prosit and a DDA library to identify SARS-CoV-2 peptides from a simulated oropharyngeal swab.</p> <p> </p> <p><strong>Sample processing protocol:</strong></p> <p>A total of 1,569 crude synthetic viral peptides were ordered in six pools from JPT (Berlin, Germany). Synthetic peptides were separated on a 200 cm μPAC™ column (PharmaFluidics) by using an EASY-nLC1200 system (Thermo Fisher Scientific) equipped with a μPAC™ trapping column (PharmaFluidics). The flow rate was set to 300 nL/min and a stepped linear 160 min gradient was applied: 3-10% B in 22 min, 10-33%B in 95 min, 33-49% B in 23 min, 49-80% B in 10 min and 80% B for 10 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive Plus (Thermo Fisher Scientific) operated in Full MS/dd-MS2 or unscheduled PRM mode. For MS/dd-MS2 the following parameters were used. MS1 resolution was 70.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z. The analysis parameters in PRM mode were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 17.500 with an AGC target of 10<sup>6</sup>, max. injection time of 55 ms and an isolation window of 1.4 m/z.</p> <p>Potential SARS-CoV-2 target peptides belonging to the N protein were identified by DDA of SARS-CoV-2 infected Calu-3 cells. Peptides were diluted in 0.1% TFA (0.2 µg/µL) and 5 µL were separated on a 50 cm μPAC™ column (PharmaFluidics) using an EASY-nLC1200 system (Thermo Fisher Scientific). The flow rate was set to 800 nL/min and a stepped 30 min gradient was applied: 6-11% B in 2:58 min, 11-30% B in 17:10 min, 30-35% B in 2:41 min, 35-47% B in 3:11 min, 47-80% B for 0:10 min, 80% B for 1:50 min, 80-0% B in 0:10 min and 100% A for 1:50 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive HF (Thermo Fisher Scientific) operated in Full MS/dd-MS2 (Top20) using the following parameters. MS1 resolution was 60.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z.</p> <p> </p> <p>To simulate a SARS-CoV-2 positive patient sample, we spiked cell-culture derived virus in a negative oropharyngeal swab and targeted the N protein by PRM. LC parameters were identical to DDA analysis of SARS-CoV-2 infected Calu-3 cells. The PRM parameters of the The Q Exactive HF (Thermo Fisher Scientific) were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 45.000 with an AGC target of 10<sup>6</sup>, max. injection time of 100 ms and an isolation window of 1.4 m/z.</p> <p> </p> <p> </p> <p><strong>Data processing protocol:</strong></p> <p>DDA Raw files were searched with MaxQuant against the respective virus database (UniProt) with a peptide FDR of 1%. Detailed MaxQuant parameters can be found in the parameters.txt files of the according results. MaxQuant .msms output files were used to generate spectral libraries with BiblioSpec implemented in the Skyline environment using a cut-off score of 0.95. Peptide identification of PRM runs was done in Skyline using the top 6 fragment ions of the DDA spectral library or according Prosit derived library (Prosit_2020_intensity_model).</p>
Application of spectral library prediction for parallel reaction monitoring of viral peptides_PRM_NCE_data
<p><strong>Project description: </strong></p> <p>A major part of the analysis of parallel reaction monitoring (PRM) data is the comparison of observed fragment ion intensities to a library spectrum. Classically, these libraries are generated by data-dependent acquisition (DDA). Here we test Prosit, a published deep neural network algorithm, for its applicability in predicting spectral libraries for PRM. For this purpose, we targeted 1,529 precursors derived from synthetic viral peptides and analyzed the data with Prosit and DDA-derived libraries. Additionally, we used a spectral library predicted by Prosit and a DDA library to identify SARS-CoV-2 peptides from a simulated oropharyngeal swab.</p> <p> </p> <p><strong>Sample processing protocol:</strong></p> <p>A total of 1,569 crude synthetic viral peptides were ordered in six pools from JPT (Berlin, Germany). Synthetic peptides were separated on a 200 cm μPAC™ column (PharmaFluidics) by using an EASY-nLC1200 system (Thermo Fisher Scientific) equipped with a μPAC™ trapping column (PharmaFluidics). The flow rate was set to 300 nL/min and a stepped linear 160 min gradient was applied: 3-10% B in 22 min, 10-33%B in 95 min, 33-49% B in 23 min, 49-80% B in 10 min and 80% B for 10 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive Plus (Thermo Fisher Scientific) operated in Full MS/dd-MS2 or unscheduled PRM mode. For MS/dd-MS2 the following parameters were used. MS1 resolution was 70.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z. The analysis parameters in PRM mode were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 17.500 with an AGC target of 10<sup>6</sup>, max. injection time of 55 ms and an isolation window of 1.4 m/z.</p> <p>Potential SARS-CoV-2 target peptides belonging to the N protein were identified by DDA of SARS-CoV-2 infected Calu-3 cells. Peptides were diluted in 0.1% TFA (0.2 µg/µL) and 5 µL were separated on a 50 cm μPAC™ column (PharmaFluidics) using an EASY-nLC1200 system (Thermo Fisher Scientific). The flow rate was set to 800 nL/min and a stepped 30 min gradient was applied: 6-11% B in 2:58 min, 11-30% B in 17:10 min, 30-35% B in 2:41 min, 35-47% B in 3:11 min, 47-80% B for 0:10 min, 80% B for 1:50 min, 80-0% B in 0:10 min and 100% A for 1:50 min. Solvent A was 0.1% (v/v) formic acid (FA) in water, solvent B consisted of 80% (v/v) acetonitrile in 0.1% (v/v) FA. The column temperature was set to 50 °C. The Q Exactive HF (Thermo Fisher Scientific) operated in Full MS/dd-MS2 (Top20) using the following parameters. MS1 resolution was 60.000 with an AGC target of 3x10<sup>6</sup>, max. injection time of 20 ms and a scan range of 300-1650 m/z. MS2 resolution was 17.500 with an AGC target of 10<sup>5</sup>, max. injection time of 50 ms and an isolation window of 2 m/z.</p> <p> </p> <p>To simulate a SARS-CoV-2 positive patient sample, we spiked cell-culture derived virus in a negative oropharyngeal swab and targeted the N protein by PRM. LC parameters were identical to DDA analysis of SARS-CoV-2 infected Calu-3 cells. The PRM parameters of the The Q Exactive HF (Thermo Fisher Scientific) were set as follows. MS1 parameters were identical to DDA. MS2 resolution was 45.000 with an AGC target of 10<sup>6</sup>, max. injection time of 100 ms and an isolation window of 1.4 m/z.</p> <p> </p> <p> </p> <p><strong>Data processing protocol:</strong></p> <p>DDA Raw files were searched with MaxQuant against the respective virus database (UniProt) with a peptide FDR of 1%. Detailed MaxQuant parameters can be found in the parameters.txt files of the according results. MaxQuant .msms output files were used to generate spectral libraries with BiblioSpec implemented in the Skyline environment using a cut-off score of 0.95. Peptide identification of PRM runs was done in Skyline using the top 6 fragment ions of the DDA spectral library or according Prosit derived library (Prosit_2020_intensity_model).</p>
Data from: Development and validation of a RAD-Seq target-capture based genotyping assay for routine application in advanced black tiger shrimp (Penaeus monodon) breeding programs
<p><i><span>Background</span></i></p> <p><span>The development of genome-wide genotyping resources has provided terrestrial livestock and crop industries with the unique ability to accurately assess genomic relationships between individuals, uncover the genetic architecture of commercial traits, as well as identify superior individuals for selection based on their specific genetic profile. Utilising recent advancements in <i>de-novo</i> genome-wide genotyping technologies, it is now possible to provide aquaculture industries with these same important genotyping resources, even in the absence of existing genome assemblies. Here, we present the development of a genome-wide SNP assay for the Black Tiger shrimp (<i>Penaeus monodon</i>) through utilisation of a reduced-representation whole-genome genotyping approach (DArTseq).</span></p> <p><i><span>Results</span></i></p> <p><span>Based on a single reduced-representation library, 31,262 polymorphic SNPs were identified across 650 individuals obtained from Australian wild stocks and commercial aquaculture populations. After filtering to remove SNPs with low read depth, low MAF, low call rate, deviation from HWE, and non-Mendelian inheritance, 7,542 high-quality SNPs were retained. From these, 4,236 high-quality genome-wide loci were selected for bates-probe development and 4,194 SNPs were included within a finalized target-capture genotype-by-sequence assay (DArTcap). This assay was designed for routine and cost effective commercial application in large scale breeding programs, and demonstrates higher confidence in genotype calls through increased call rate (from 80.2 </span>± 14.7 to 93.0% ± 3.5%<span>), </span>increased read depth (from 20.4 ± 15.6 to 80.0 ± 88.7<span>), as well as a 3-fold reduction in cost over traditional genotype-by-sequencing approaches.</span></p> <p><i><span>Conclusion</span></i></p> <p><span>Importantly, this assay equips the <em>P. monodon</em> industry with the ability to simultaneously assign parentage of communally reared animals, undertake genomic relationship analysis, manage mate pairings between cryptic family lines, as well as undertake advance studies of genome and trait architecture. Critically this assay can be cost effectively applied as <em>P. monodon</em> breeding programs transition to undertaking genomic selection.</span></p>
Introduction to and application of synchronization theory
<p><strong>Abstract of the lecture</strong></p> <p>In nature, oscillations are one of the main forms of motion and these oscillating systems are not isolated. So, they interact, communicate in different kinds of complex ways. With this, synchronization is the most fundamental phenomenon exhibited by these systems. In the first part this talk, the basics of synchronization theory will be discussed. Applications of synchronization theory will be demonstrated in different engineering and natural systems, in the second part of my lecture. The engineering systems include thermoacoustic system, aeroelastic system, and natural circulation loop. Through these applications, we will discuss how synchronization theory helps not only describing different transitional phenomena but also indicating the possible control measures.</p> <p><strong>References:</strong></p> <ol> <li>Mondal, S., Unni, V. R., & Sujith, R. I. (2017). Onset of thermoacoustic instability in turbulent combustors: an emergence of synchronized periodicity through formation of chimera-like states. Journal of Fluid Mechanics, 811, 659.</li> <li>Mondal, S., Pawar, S. A., & Sujith, R. I. (2017). Synchronous behaviour of two interacting oscillatory systems undergoing quasiperiodic route to chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(10), 103119.</li> <li>Thomas, N., Mondal, S., Pawar, S. A., & Sujith, R. I. (2018). Effect of time-delay and dissipative coupling on amplitude death in coupled thermoacoustic oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(3), 033119.</li> <li>Dange, S., Manoj, K., Banerjee, S., Pawar, S. A., Mondal, S., & Sujith, R. I. (2019). Oscillation quenching and phase-flip bifurcation in coupled thermoacoustic systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(9), 093135.</li> <li>Raaj, A., Venkatramani, J., & Mondal, S. (2019). Synchronization of pitch and plunge motions during intermittency route to aeroelastic flutter. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(4), 043129.</li> <li>Mondal, S., Pawar, S. A., & Sujith, R. I. (2019). Forced synchronization and asynchronous quenching of periodic oscillations in a thermoacoustic system. Journal of Fluid Mechanics, 864, 73-96.</li> <li>Roy, A., Mondal, S., Pawar, S. A., & Sujith, R. I. (2020). On the mechanism of open-loop control of thermoacoustic instability in a laminar premixed combustor. Journal of Fluid Mechanics, 884.</li> </ol>
Database of the paper: "Pressure-to-depth conversion models for metamorphic rocks: derivation and applications"
<p>Dataset associated with the paper entitled "Pressure-to-depth conversion models for metamorphic rocks: derivation and applications" by Bauville A. and Yamato P. (Geochemistry, Geophysics, Geosystems)</p> <p>These links allow to download:</p> <p>- The database with Pp, Tp, Pr and Tr in .xlsx format</p> <p>- The database with Pp, Tp, Pr and Tr in .txt format</p> <p>- The associated references list</p> <p>Please, contact P. Yamato for additional information.</p>
Data regarding the application of the inverse modeling (TsuSedMod) to the sediment deposits of CE 1755 Lisbon tsunami at Salgados, Algarve (Portugal)
<p>This dataset contains data used to run TsuSedMod model. It contains the vertical textural distribution of 4 sediment samples (LV09, LV11,LV11a and LV13) retrieved at Salgados, southern Portugal<br> and respective results.</p>
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.