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1,350 results for “Intermediate”
Detecting axisymmetric magnetic fields using gravity modes in intermediate-mass stars
<p>Typical MESA and GYRE inlists associated with <a href="https://ui.adsabs.harvard.edu/abs/2020arXiv200502411V/abstract">Van Beeck et al. (2020)</a>. MESA version 10398 and GYRE version 5.2.</p> <p>Context: Angular momentum (AM) transport models of stellar interiors require improvements to explain the strong extraction of AM from stellar cores that is observed with asteroseismology. One of the often invoked mediators of AM transport are internal magnetic fields, even though their properties, observational signatures and influence on stellar evolution are largely unknown.</p> <p>Aims: We study how a fossil, axisymmetric internal magnetic field affects period spacing patterns of dipolar gravity mode oscillations in main-sequence stars with masses of 1.3, 2.0 and 3.0 <span class="math-tex">\(\mathrm{M}_{\odot}\)</span> . We assess the influence of fundamental stellar parameters on the magnitude of pulsation mode frequency shifts.</p> <p>Methods: We compute dipolar gravity mode frequency shifts due to a fossil, axisymmetric poloidal-toroidal internal magnetic field for a grid of stellar evolution models, varying stellar fundamental parameters. Rigid rotation is taken into account using the traditional approximation of rotation and the influence of the magnetic field is computed using a perturbative approach.</p> <p>Results: We find magnetic signatures for dipolar gravity mode oscillations in terminal-age main-sequence stars that are measurable for a near-core field strength larger than 10<sup>5</sup> G. The predicted signatures differ appreciably from those due to rotation.</p> <p>Conclusions: Our formalism demonstrates the potential for the future detection and characterization of strong fossil, axisymmetric internal magnetic fields in gravity-mode pulsators near the end of core-hydrogen burning from Kepler photometry, if such fields exist.</p> <blockquote> <p>The publication date is the date of acceptance.</p> </blockquote> <p>J. Van Beeck would like to thank researchers M. Michielsen, C. Johnston, and dr. M. G. Pedersen for their valuable input in the MESA and GYRE computations.</p>
FMR1 Iso-Seq intermediate files: FLNC and nFL reads
<p>Over 40% of males and ~16% of female carriers of <em>FMR1</em> premutation allele (55-200 CGG repeats) are at risk for developing Fragile X-associated Tremor/Ataxia Syndrome (FXTAS), an adult onset neurodegenerative disorder. On the other hand, about 20% of female carriers will develop Fragile X-associated Primary Ovarian Insufficiency (FXPOI), in addition to a number of adult-onset clinical problems (<em>FMR1</em> associated disorders). Marked elevation in <em>FMR1</em> mRNA levels have been observed with premutation alleles resulting in RNA toxicity. This molecular mechanism has been proposed as the leading molecular mechanism to explain the phenotypes observed in premutation carriers.</p> <p>The <em>FMR1</em> gene, as many housekeeping genes, undergoes alternative splicing. Using Single Molecule, Real-Time (SMRT) sequencing and qRT-PCR we have recently reported that the relative abundance of all <em>FMR1</em> mRNA isoforms is significantly increased in the premutation group compared to controls. In this study, we have further investigated the transcriptional <em>FMR1</em> isoforms distribution pattern in different tissues including muscle, brain, heart and testes from 3 individuals with premutation allele and FXTAS and compared them to the isoform profiles of age-matched controls. Here we report on the identification of novel isoforms, some of which are observed only in premutation carriers and might play a role in the pathogenesis of FXTAS.</p> <p>Our findings suggest that the characterization of expression levels of the different <em>FMR1</em> isoforms is fundamental for understanding the regulation of the <em>FMR1</em> gene as well as for elucidating the mechanism(s) by which “toxic gain of function” of the <em>FMR1</em> mRNA may play a role in FXTAS and/or in the other <em>FMR1</em>-associated conditions. In addition to the elevated levels of <em>FMR1</em> isoforms, the altered abundance/ratio of the corresponding FMRP isomers may affect the overall function of FMRP in premutations.</p>
X-ray diffraction images for 5-aminolevulinic acid dehydratase with a putative reaction intermediate resembling the product porphobilinogen bound.
<p>X-ray diffraction images for yeast 5-aminolevulinic acid dehydratase co-crystallised with the substrate 5-aminolevulinic acid. The structure demonstrated a putative product-like intermediate bound covalently to Lys 263 with an amino side chain ligated to the active-site zinc ion in a position normally occupied by a catalytic hydroxide ion. The data were collected in two passes using the ESRF beamline ID29 in Feb 2002 and extend to approximately 1.6 Å resolution. </p>
FMR1 Iso-Seq: per sample intermediate files
<p><em>FMR1</em> premutation carriers (55-200 CGG repeats) are at risk for developing Fragile X-associated Tremor/Ataxia Syndrome (FXTAS), an adult onset neurodegenerative disorder. In addition, 20 % of female carriers will develop Fragile X-associated Primary Ovarian Insufficiency (FXPOI), in addition to a number of clinical problems affecting premutation carriers throughout their life span. Marked elevation in <em>FMR1</em> mRNA levels have been observed with premutation alleles resulting in RNA toxicity, the leading molecular mechanism proposed for the <em>FMR1</em> associated disorders observed in premutation carriers.</p> <p>The <em>FMR1</em> gene, undergoes alternative splicing and we have recently reported that the relative abundance of all <em>FMR1</em> mRNA isoforms is significantly increased in premutation carriers.</p> <p>In this study, we further investigated the transcriptional <em>FMR1</em> isoforms distribution pattern in different tissues and identified a total of 49 isoforms, some of which observed only in premutation carriers and which might play a role in the pathogenesis of FXTAS.</p> <p>Further, we investigated the distribution pattern and expression levels of the <em>FMR1</em> isoforms in asymptomatic premutation carriers and in those with FXTAS and found no significant difference between the two groups.</p> <p>Our findings suggest that the characterization of the expression levels of the different <em>FMR1</em> isoforms is fundamental for understanding the regulation of the <em>FMR1</em> gene as imbalance in their expression could lead to an altered functional diversity with neurotoxic consequences. Their characterization will also help to elucidating the mechanism(s) by which “toxic gain of function” of the <em>FMR1</em> mRNA may play a role in FXTAS and/or in the other <em>FMR1</em>-associated conditions.</p>
An observed population of intermediate-mass helium stars that have been stripped in binaries - theoretical, computational and observational data
<p>This Zenodo repository contains the observational and computational data presented in the manuscript "An observed population of intermediate-mass helium stars stripped in binaries" by Drout, Götberg, Ludwig, Groh, de Mink, O'Grady and Smith.</p><p>We organize the data as follows:</p><ul><li>The stacked spectra presented in Figures S16-S21 are located in stacked_spectra.tar.gz, which contains a text file for each star. The text files have three columns that correspond to wavelength in Angstrom, normalized counts, and errors, respectively.<br> </li><li>The spectral model grid computed based on binary evolutionary model output and presented in detail in the Supplementary information section S1.2.1, is labeled with names starting S121. The file S121_evol_based_006_absolute_magnitudes.txt contains the absolute AB magnitudes for the models in UV and optical filters. The .tar.gz S121_evol_based_006_spectra.tar.gz contains files with the full spectral energy distribution and normalized spectra of each model. The .tar.gz S121_evol_based_006_complete_models.tar.gz contains the full CMFGEN models.<br> </li><li>For the stellar atmosphere model grid presented in Supplementary material section S1.2.2, we refer to the Zenodo repository 10.5281/zenodo.7976200, which is made available in association with the second paper in our series. We note that we used a subset of that grid in the article associated with this Zenodo repository. We refer to section S1.2.2 for more details.<br> </li><li>The spectral models demonstrating the mass loss rate variations in Supplementary information section S1.2.3 are presented here with names starting with S123. There is one file containing the absolute magnitudes (S123_mdot_variation_absolute_magnitudes.txt), the S123_mdot_variation_spectra.tar.gz contains the spectral energy distributions and normalized spectra for each of the models, and the S123_mdot_variation_complete_models.tar.gz contains the full CMFGEN models.<br> </li><li>The spectral model grid computed based on main-sequence evolutionary model output and presented in detail in the Supplementary information section S1.3.1, is labeled with names starting S131. The file S131_MS_evol_based_006_absolute_magnitudes.tar.gz contains three files with the absolute AB magnitudes for the models in the UV and optical filters, each file corresponding to either 20%, 60%, or 90% through the main-sequence evolution and labeled f20, f60, and f90, respectively. S131_MS_evol_based_006_spectra.tar.gz contains three folders labeled f20, f60 and f90, which each contains the SEDs (in Flambda and ABmag) and normalized spectra for the corresponding models. The files S131_MS_evol_based_006_complete_models_fX0.tar.gz contain the complete CMFGEN models.<br> </li><li>The custom index files we use for astrometry.net in section S3.1.1 are located in the zip file called S311_astrometry_index_files.zip. This information was used to recalculate the astrometry on the Swift UVOT images of the Magellanic Clouds.<br> </li><li>To make Figure 2B, we calculated the equivalent widths for a set of models assuming a signal-to-noise ratio of 35. This procedure is described in Section S3.7.2. In Figure2B_Model_EWs.zip, we provide three files that each contain these modeled equivalent widths for (1) stripped star models, (2) OB star models, and (3) composite models. <br> </li><li>To make Figure S7 (see also Sections S1.2.3 and S2.2), which is similar to Figure 2B, but presents the effects of varying the wind mass loss of stripped stars, we used a similar set of modeled equivalent widths as when we produced Figure 2B. These modeled equivalent widths are provided in FigureS7_Model_EWs.zip. <br> </li><li>To make Figure 3, we calculated equivalent widths for the model grid described in Section S1.2.2 and the TLUSTY OB star grids (see Section S1.3.2) assuming a signal-to-noise ratio of 100. These model equivalent widths are provided in the file called Figure3_Model_EWs.zip. </li></ul>
Estimates of molecular convergence reveal genes with intermediate pleiotropy underlying adaptive variation across teleost fish
<p>This dataset comprises raw sequence data, output of analyses, code used to reproduce the study, figures, and supplementary materials.</p> <p>Code and input files are in Datasets.zip</p> <p>Use the README to navigate this folder. </p> <p>Data to reproduce the CSUBST analysis are in the .tar.gz folder.</p> <p> </p> <p>For more information please check: </p> <p>https://github.com/agneeshbarua/Teleost_convergence</p>
Fig. 2 in Pseudorhadinorhynchus samegaiensis (Acanthocephala: Echinorhynchida: Illiosentidae) Uses the Amphipod Jesogammarus (Annanogammarus) fluvialis as an Intermediate Host in a Stream of the Lake Biwa Basin, Central Japan
Fig. 2. Developmental stages of Pseudorhadinorhynchus samegaiensis. A, Male acanthella; B, early male cystacanth with part of proboscis and copulatory bursa everted, same individual as "c" in Fig. 1B; C, early female cystacanth; D, fully developed male cystacanth with everted proboscis; E, fully developed female cystacanth with everted proboscis; F, everted proboscis of fully developed female cystacanth (E). Scale bars: A, 300 µm; B–E, 500 µm; F, 200 µm.
Fig. 6 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts
Fig. 6. The egg of Pseudoleucochloridium ainohelicis nom. nov. in the gravid adult. The left end is an operculum. An arrow indicates the notch of eggshell. A miracidium is visible inside. Scale bar 10 µm.
Fig. 4 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts
Fig. 4. The cercaria and metacercaria of Pseudoleucochloridium ainohelicis nom. nov. from Ainohelix editha. Both of the drawings are in ventral view. A) Cercaria. Scale bar 100 µm; B) Metacercaria. Scale bar 500 µm.
Fig. 1 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts
Fig. 1. Frequencies of cox1 haplotypes and their statistical parsimony network in Pseudoleucochloridium ainohelicis nom. nov. All of the twelve isolates were collected in Asahikawa. The size of circles indicates the frequency of the haplotypes. Small circles show hypothetical haplotypes. The shaded circle represents the hypothetical ancestor.
Fig. 5 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts
Fig. 5. The adult of Pseudoleucochloridium ainohelicis nom. nov. from Sorex unguiculatus. The drawing is in ventral view. The large suckers, M-shaped configuration of uterus, and terminally-positioned genital pore are characteristic of the genus. Scale bar 500 µm.
Intermediate data files from the compilation of Economy-wide Material Flow Accounts for the Domestic Extraction of abiotic materials
<p>These files represent a selection of intermediary files from the compilation of material flow accounts on Domestic Extraction (DE) of abiotic materials. The main output of this compilation has been integrated in the UNEP IRP Global Material Flow Database (GMFD).</p> <p>These files include input files (e.g. IDs for data harmonization, or factors for data conversion), as well as output files (e.g. supplementary information, or detailed data accounts before aggregation and integration into the GMFD).</p> <p>Please note: These files are published exclusively for the purpose of making this information available to interested parties in a transparent and orderly fashion, in particular to other research projects who may have use for it. Therefore, these files are not associated with any publication and have not been adjusted or formatted with regard to any publications standards, i.e. they are uploaded exactly as they have been processed in the respective R Github repository of the underlying data compilation.</p> <p>The following description attempts to give a short overview of the respective types of files and their contents. For more detailed information on the data compilation, please refer to chapters 6, 8, and 10 in the <a href="https://resourcepanel.org/sites/default/files/irp_technical_annex_global_material_flows_database.pdf">technical report</a> of the GMFD.</p> <p> </p> <p><strong>Main data output (i.e. detailed material flow accounts)</strong></p> <p><em>DE_met_min_fos_CCC_2021-11-04.csv</em>: Data aggregated to the official categories (CCC/TCCC) used for integration into the GMFD. With IDs, without names (e.g. for materials and countries).</p> <p><em>DE_met_min_fos_CCC_with_names_2021-11-04.csv</em>: Same as above, but with names.</p> <p><em>DE_met_min_fos_Detailed_2021-11-04.csv</em>: Detailed accounts, as compiled, before final aggregation. With IDs, without names.</p> <p><em>DE_met_min_fos_Detailed_with_names_2021-11-04.csv</em>: Same as above, but with names.</p> <p> </p> <p><em>DE_met_min_fos_Detailed_2022-05-24.csv: </em>Slightly revised version from May 2022. But not included in current GMFD version.</p> <p> </p> <p><strong>ID and concordance tables</strong></p> <p><em>ccc_vs_mat_ids.csv:</em> Concordance table for allocation of detailed material accounts to aggregated CCC accounts.</p> <p><em>country_ids.csv:</em> General ID table for country IDs and names</p> <p><em>estimated_ids.csv:</em> Material IDs which are assigned during application of ore estimation factors.</p> <p><em>geo_exist.csv:</em> Table for consistent geographic adjustment of data for specific countries which have disintegrated over time (not including regions like Germany, Yemen, Ethiopia, Sudan, which all have been dealt with individually if necessary).</p> <p><em>material_ids.csv:</em> General ID table for material IDs and names.</p> <p><em>source_country_ids.csv:</em> Concordance table for country IDs (i.e. for allocation of harmonized IDs to source namings/IDs)</p> <p><em>source_material_ids.csv:</em> Concordance table for material IDs (i.e. for allocation of harmonized IDs to source namings/IDs)</p> <p><em>source_unit_ids.csv:</em> Concordance table for unit IDs (i.e. for allocation of harmonized IDs to source namings/IDs)</p> <p><em>unit_ids.csv:</em> General ID table for unit IDs and names.</p> <p> </p> <p><strong>Conversion factors</strong></p> <p><em>conversion_elements.csv:</em> Factors applied for conversion from metal compounds to elemental metals.</p> <p><em>conversion_factors_units.csv:</em> Factors applied for unit conversions.</p> <p> </p> <p><strong>Ore estimation factors</strong></p> <ul> <li>These factors represent content-to-ore ratios (i.e. "tonnes of extracted ore/mineral per ton of produced content”).</li> </ul> <p><em>all_integrated_est_fac_2021-11-04.csv:</em> Factors for estimation of metal and mineral ores (all which have been compiled/integrated)</p> <p><em>applied_est_fac_2021-11-04.csv:</em> Factors for estimation of metal and mineral ores (which have actually been applied)</p> <p><em>average_metal_prices_1990-2020.csv:</em> Metal prices applied in the compilation of estimation ratios.</p> <p><em>raw_metal_to_ore_ratios_fineprint.csv:</em> Raw metal-to-ore ratios derived from FINEPRINT mining data.</p> <p><em>raw_metal_to_ore_ratios_snl.csv:</em> Raw metal-to-ore ratios derived from SNL mining data.</p> <p> </p> <p><strong>Intermediate files from data processing</strong></p> <p><em>all_interm_conv_integr_2021-12-13.csv:</em> Harmonized, converted (units & elemental metals), integrated (i.e. without double counting). Before any estimations (ores & construction minerals) and before final cleaning/formatting.</p> <p><em>wmd_bgs_usgs_interm_harmonized_2021-12-13.csv:</em> All harmonized raw data from WMD/BGS/USGS, before any further processing (i.e. with double counting).</p> <p> </p> <p><strong>Comparison data (for mining accounts from FINEPRINT project)</strong></p> <p><em>data_for_comparison_2022-05-24.csv:</em> Data set specifically compiled for comparison with accounts on production of mines from the FINEPRINT project. Has been applied for verification of data published in <em>"Jasansky et al. (2022) An open database on global coal and metal mining"</em>.</p> <ul> <li>Includes all available types of materials which have been reported (e.g. ores and metals and metal compounds) <ul> <li>meaning: also materials which are associated with each other, for example iron ore and iron (and would therefore have been selectively integrated/excluded in the GMFD compilation).</li> </ul> </li> <li>Excludes any double counting for the exact same material from different data sources</li> <li>Harmonized IDs, converted units</li> <li>Includes metal compounds approximated/converted from reported elemental metals (where possible)</li> </ul> <p> </p> <p><strong>materialflows.net</strong></p> <p><em>data_sunburst_material_profiles_20220607.csv:</em> Full detail of data underlying the Sunburst visualization "Global Domestic Extraction in 2019, by material group" in section "Raw Material Profiles" on materialsflow.net. However, for all available years. Includes data on Domestic Extraction of biomass. Includes detail for CCC, MFA13+, MFA4+</p> <p> </p> <p><strong>Outliers</strong></p> <p><em>overview_adjusted_outliers_2021-12-22.csv:</em> Overview of outliers which were adjusted during final formatting.</p> <p> </p> <p><strong>Other</strong></p> <p><em>approximation_tailings_detailed_2021-09-26.csv:</em> Estimation of tailings based on reported amounts of ores/minerals and their respective contents.</p> <p> </p>
SED templates for "Dwarf AGNs from Variability for the Origins of Seeds (DAVOS): Intermediate-mass black hole demographics from optical synoptic surveys"
<p>FITS file containing the pre-computed grid of Done or Nemmen model SEDs. See Table 2 in the publication for details.</p>
Fig. 2 in A first report of PSeUDOSUCCInea COlUMella (Say, 1817), an alien intermediate host for liver fluke, in Malawi
Fig. 2 Conchological and anatomical comparison of Pseudosuccinea columella (top row) and Radix natalensis (bottom row). a–d P.columella conchology (a, b), shell microsculpture of the black square hatched area (c) and radular teeth (d) e–h R. natalensis conchology (e, f), shell microsculpture of the black square hatched area (g) and radular teeth (h). Although there is minor variation in the shape of the inner cusp of the first lateral teeth, the discriminatory feature is the periostracum's spiral ridges
Fig. 1 in A first report of PSeUDOSUCCInea COlUMella (Say, 1817), an alien intermediate host for liver fluke, in Malawi
Fig. 1 Sketch maps of the distribution of Pseudosuccinea columella in Mangochi (a), Chikwawa (b) and Nsanje (c) Districts, southern Malawi. Red circles indicate HUGS survey sites where P. columella was found; grey circles are surveyed sites where this snail was not found. The locations are: Mangochi 1 (− 14.31373°, 35.14174°); Chikwawa 1 (− 16.03759°, 34.84091°); Nsanje 4 (− 16.88780°, 35.27475°); Nsanje 5 (− 16.92985°, 35.26552°) with corresponding location photograph. Note that the panorama image of Mangochi 1 clearly shows the stream, flowing left to right, directly connected to Lake Malawi. HUGS, Hybridisation in UroGenital Schistosomiasis (project)
Sperm competition favours intermediate sperm size in a hermaphrodite
<div> <p>Sperm competition is a potent mechanism of post-copulatory sexual selection that has been found to shape reproductive morphologies and behaviours in promiscuous animals. Especially sperm size has been argued to evolve in response to sperm competition through its effect on sperm longevity, sperm motility, the ability to displace competing sperm and ultimately fertilization success. Additionally, sperm size has been observed to co-evolve with female reproductive morphology. Theoretical work predicts that sperm competition may select for longer sperm but may also favour shorter sperm if sperm size trades off with number. In this study, we studied the relationship between sperm size and post-mating success in the free-living flatworm, <em>Macrostomum lignano</em>. Specifically, we used inbred isolines of <em>M. lignano </em>that varied in sperm size to investigate how sperm size translated into the ability of worms to transfer and deposit sperm in a mating partner. Our results revealed a hump-shaped relationship with individuals producing sperm of intermediate size having highest sperm competitiveness. This finding broadens our understanding of the evolution of sperm morphology by providing empirical support for stabilizing selection on sperm size under sperm competition.</p> </div>
Intermediate results for: Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011
<p>This collection contains all intermediate results needed to reproduce the results in the paper:</p> <p>Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011</p> <p>You can use these intermediate results to create all plots in our paper without the need to run all experiments on a large cluster.</p> <p>More details can be found in the online documentation of our python package:<br><a href="https://fours.readthedocs.io/en/latest/">https://fours.readthedocs.io/en/latest/</a></p>
Dataset: Vanguard Intermediate-Term Treasury Index Fund ETF Shares (VGIT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: VictoryShares USAA Core Intermediate-Term Bond ETF (UITB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: VictoryShares Core Plus Intermediate Bond ETF (UBND) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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.