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18,658 results for “impacts”
The Impact of Nuclear Reaction Rate Uncertainties on the Evolution of Core-collapse Supernova Progenitors
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018ApJS..234...19F/abstract">Fields et al. (2018)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4365/aaa29b">10.3847/1538-4365/aaa29b</a></p>
Data supplementing the article "Benthic diatom communities in an Alpine river impacted by waste water treatment effluents as revealed using DNA metabarcoding" , submitted to Frontiers in Microbiology
<p>These data supplement the article"Benthic diatom communities in an Alpine river impacted by waste water treatment effluents as revealed using DNA metabarcoding" submitted to Frontiers in Microbiology: </p> <p>The directory contains the following files:</p> <p><strong>64 PGM sequencing files (raw data, fastq files) </strong>- one file is provided for each sample by the sequencing platform with demultiplexed DNA reads (raw data prior any bioinformatics treatments).</p> <p><strong>Sample_Names.xlsx</strong> - contains the information relative to the 64 samples including: the ID used in Mothur analyses (corresponding to the name of the fastq files), the sample name and the raw reads number for each sample.</p>
Data from: Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments? in Ecological Applicatios (2019)
<p>Species occurrence (0/1) and environmental data from research article "Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments?" in Ecological Applications (2019). </p> <p>Please see more details in the readme-file and the original article. </p>
Finding The Impact of GDP on Education Attainment in Austria - Datasets
<p>Finding The Impact of GDP on Education Attainment in Austria - Datasets</p>
Barcelona light impact impact maps using ISS images
<p>Environmental impact maps of Barcelona based on the ISS image ISS035-e-023385 from https://eol.jsc.nasa.gov.</p> <p>Includes:</p> <p>Estimations of the corrections to all Lucas et al. 2013 pigments using the ratios BG and GR. Also, Aubé et al 2013 index.</p> <p>These files have been produced calibrating procedure Sánchez de Miguel 2015 and updated procedures and Sánchez de Miguel et al 2019a and early stages of Sánchez de Miguel et. al 2019b.</p>
Simulated coordinated impacts of the previous autumn NAO and winter El Niño on the winter aerosol concentrations over eastern China
<p>The simulated aerosol concentrations and the model input meteorology fields (SLP and wind at 850 hPa) , as well as the data description files are listed.</p>
Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat
<p><em>In situ</em> data along with input/output files and code of the model used in the manuscript by Savelli et al. submitted to Journal of Geophysical Research: Biogeosciences</p> <p>Savelli, R., Bertin, X., Orvain, F., Gernez, P., Dalle, A., Coulombier, T., Pineau, P., Lachaussée, N., Polsenaere, P., Dupuy, D., Le Fouest, V., submitted. Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat. <em>Journal of Geophysical Research: Biogeosciences</em></p> <p>See the readme.txt file for explicit details on the repository.</p>
Pyridinylimidazoles as GSK3β inhibitors: the impact of tautomerism on compound activity via water networks
<p>Data related to publication:</p> <p>Heider et al.: Pyridinylimidazoles as GSK3β inhibitors: the impact of tautomerism on compound activity via water networks.</p> <p>The files include:</p> <p>1) Output conformations of the QM Tautomer & Conformation Predictor of Maestro (Schrödinger, LLC, New York, NY, 2018) of the compounds <strong>1</strong>, <strong>3a</strong>, <strong>3b</strong>, <strong>3c</strong>, <strong>3d</strong>, <strong>3e</strong>, <strong>3f</strong>, <strong>3g</strong>, <strong>3h</strong>, <strong>3j</strong>, <strong>3k</strong>, <strong>3l</strong>, <strong>3m</strong>, <strong>6f</strong> and <strong>6g</strong> [.mae and .sdf files].</p> <p>2) Movies of the MD simulations of compounds <strong>3a</strong>, <strong>3j</strong>, <strong>4a</strong>, <strong>4b</strong>, <strong>6b</strong>, <strong>6g</strong> (6GN1) and movies (*_2) of <strong>3a</strong>, <strong>3j</strong>, <strong>6b</strong>, <strong>6g</strong> (4PTC) [.mpg files] .</p> <p>3) Raw Desmond trajectory files of the MD simulations of the compounds <strong>3a</strong>, <strong>3j</strong>, <strong>4a</strong>, <strong>4b</strong>, <strong>6b</strong>, <strong>6g</strong> [out.cms and the full trj files].</p> <p> </p> <p><br> </p>
Dataset for Spence et al., "Availability of study protocols for randomized trials published in high-impact medical journals: cross-sectional analysis" (CITATION)
<p>Contains our extraction sheets (as SAS data files), code to calculate the values in the tables in our manuscript, and a supplemental file with additional notes on methods used in our study.</p>
PODCAST: The Impact of News Recommender Systems on our Personal Identity
<p>This 45-minute podcast is a result of qualitative research which aims to identify if we should be concerned that news recommender systems may have an impact on our personal identities over time. Ind sets out to achieve a number of objectives.</p> <p>1. To understand how news recommender systems influence the way of seeing and experiencing the world in which we anchor our identities<br> 2. To examine the extent to which news recommendations are transforming and shaping our preferences and behaviours<br> 3. To determine if we should be concerned about personal data privacy, as news recommendations technology collects our personal data to create algorithmically generated news recommendations<br> 4. To explore if we think that personalised news recommendations can serve to sharpen our focus and broaden our minds in parallel</p> <p>The Impact of News Recommender Systems on our Personal Identity is licensed under a Creative Commons License.</p>
Impacts of Moisture on Asphalt Properties
<p>Corresponding data set for Tran-SET Project No. 17BASU03. Abstract of the final report is stated below for reference:</p> <p>"Stripping related moisture damage has been recognized as one of the major pavement distresses since the early 1990s. The main objective of this study is to establish an effective test protocol to quantify moisture susceptibility of asphalt pavements. To this end, selective test methods (Texas Boiling test, Tensile Strength Ratio, Retained Stability, and Hamburg Wheel Test), and procedures based on surface chemistries and molecular-level mechanistic properties have been investigated in this study. Firstly, a comprehensive list of literature related to moisture damage in asphalts was reviewed. Based on the literature review, a detailed project plan and test matrix were developed. Binder samples originated from two different crude sources were collected. The moisture resistance related tests such as static contact angle measurements and Texas Boiling tests were conducted. Besides, asphalt binders’ nanomechanical properties using an Atomic Force Microscopy (AFM) and surface chemistries using a static contact were evaluated in the laboratory. Based on limited test data and analysis, it is concluded that there does not exist any single test method that all agencies are comfortable and equipped to follow in their daily work as each technique has some merits and demerits. However, the Texas Boiling test is found to be the simplest method that requires minimal time and resources. On the other hand, surface chemistry and atomic force microscope-based techniques are becoming popular among researchers and pavement professionals. Findings of this study are expected to help ARDOT in selecting an appropriate moisture resistance test method that is simple, reliable, and easy to implement in their routine work."</p>
Impacts of Freight Consolidation and Truck Sharing on Freight Mobility
<p>Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference:</p> <p>"The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The model was applied to several case studies using Transplace, Inc. (a third party logistics company) route data to identify optimized, consolidated routes. Emission impacts were also estimated for both the existing and consolidated routes using monetary equivalent cost (MEC) values. A linear regression model was developed to predict freight movement between metropolitan statistical areas (MSAs). Results of the case studies were then applied to estimate the operation and environment-related costs associated with freight movement from New Orleans MSA to Oklahoma City MSA for all commodities. Finally, the results of the case studies were applied at the national level and projected for future years, to estimate the potential cost savings in freight consolidation. Results indicate that it may be possible to consolidate cargo with only 67% of the currently used number of trucks, which may reduce the operation cost by 23% and MEC by 17%."</p>
Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioning of Arctic mixed-phase clouds with NCAR CAM5
<p>The model simulation outputs for the paper "Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioningof Arctic mixed-phase clouds with NCAR CAM5".</p>
Drought impacts on Australian vegetation during the Millennium Drought measured with multi-source spaceborne remote sensing
<p>During the period from 1997 to 2009, Australia experienced a severe and persistent drought known as the Millennium Drought (MD). Major water shortages were reported across the continent as were various field accounts of tree mortality and dieback, but large-area assessment has been lacking. Given uncertain projections of future drought conditions in South-East Australia, analysis of the MD presents a valuable opportunity to assess possible impacts of these future trends. In this study, we analyzed the <strong>magnitude and sensitivity of vegetation responses to the MD</strong> with satellite-derived information including the fraction of photosynthetically absorbed radiation (FPAR), photosynthetic vegetation cover (PVC), canopy density derived from vegetation optical depth (VOD) and aboveground biomass carbon (ABC). <strong>Bioclimatic diferences in drought impacts and sensitivity</strong> were examined as well. Here are generated datasets and related codes for processing. Drought impcats and sensitivities for FPAR and PVC are too large to be uploaded but users could calculate their own results with the codes provided here. See Metadata.txt for details.</p>
Impacts of habitat disturbance on population health of Bornean frogs
<b>Description: </b><p>The raw data required for estimates of size, body condition and fluctuating asymmetry of riparian anurans across a series of streams within the SAFE landscape, providing insight into the population health of frog populations at these sites. Streams were selected to provide a habitat disturbance gradient enabling identification of any effect of habitat disturbance on the population health indices. Stream characteristics were measured to provide estimates of habitat disturbance sorrounding the streams (canopy cover) and enable the impact of any potentially confounding variables (stream width and slope) to be eliminated. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/205"><b>The impact of habitat modification on feeding interactions between riparian anuran communities and their arthropod prey </b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3485086">here</a></p><p><b>Files: </b>This consists of 1 file: Fluctuating_Asymmetry_and_Body_Condition_of_Anurans_in_the_SAFE_Project.xlsx</p><p><b>Fluctuating_Asymmetry_and_Body_Condition_of_Anurans_in_the_SAFE_Project.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Fluctuating asymmetry and body condition measurements of Bornean riparian anurans</b> (described in worksheet Frogs)</p><p>Description: Species, snout-vent length, mass and limb measurements of anurans sampled across a tropical forest disturbance gradient and within oil palm plantations. </p><p>Number of fields: 37</p><p>Number of data rows: 240</p><p>Fields: </p><ul><li><b>site</b>: SAFE identification code for the location where sampling was conducted (Field type: location)</li><li><b>date</b>: Date of sampling (Field type: date)</li><li><b>identification_code</b>: Code for the distinction of individual sampled frogs (Site of capture followed by the number of the individual within the overall sample taken within the site) (Field type: id)</li><li><b>species</b>: Identification of sampled frog to species level (Field type: taxa)</li><li><b>sex</b>: Sex of the sampled frog (male, female or unknown) (Field type: categorical trait)</li><li><b>svl</b>: Length of the frog from its snout to its vent (Field type: numeric trait)</li><li><b>mass</b>: Mass of the frog (Field type: numeric trait)</li><li><b>left_ru_1</b>: First measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_2</b>: Second measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_3</b>: Third measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_mean</b>: Average of the three measurements of the left radio-ulna of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_ru_1</b>: First measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_2</b>: Second measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_3</b>: Third measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_mean</b>: Mean of the three measurements of the right radio-ulna of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_ru_size</b>: Average length of both radio-ulnas (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>ru_diff</b>: Difference between the mean length of the right radio-ulna from all three measurements and that of the left (Field type: numeric trait)</li><li><b>left_thigh_1</b>: First measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_2</b>: Second measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_3</b>: Third measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_mean</b>: Average of the three measurements of the left thigh of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_thigh_1</b>: First measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_2</b>: Second measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_3</b>: Third measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_mean</b>: Mean of the three measurements of the right thigh of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_thigh_size</b>: Average length of both thighs (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>thigh_diff</b>: Difference between the mean length of the right thigh from all three measurements and that of the left (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>left_tf_1</b>: First measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_2</b>: Second measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_3</b>: Third measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_mean</b>: Mean of the three measurements of the left tibio-fibula of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_tf_1</b>: First measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_2</b>: Second measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_</b>: Third measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_mean</b>: Mean of the three measurements of the right tibio-fibula of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_tf_length</b>: Average length of both tibio-fibulas (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>tf_diff</b>: Difference between the mean length of the right tibio-fibula from all three measurements and that of the left (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li></ul></li><li><p><b>Stream morphometrics and riparian canopy cover</b> (described in worksheet Streams)</p><p>Description: The width and slope of, as well as the canopy cover above, the streams along which anurans were sampled.</p><p>Number of fields: 10</p><p>Number of data rows: 260</p><p>Fields: </p><ul><li><b>site</b>: SAFE identification code for the location where sampling was conducted (Field type: location)</li><li><b>date</b>: Date of sampling (Field type: date)</li><li><b>point</b>: 20m interval point along 500m in-stream transect at which measurements were taken (Field type: id)</li><li><b>upstream_%_canopy_cover</b>: Percentage canopy coverage when facing upstream from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>right_%_canopy</b>: Percentage canopy coverage when facing toward the right bank from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>downstream_%_canopy_cover</b>: Percentage canopy coverage when facing downstream from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>left_%_canopy_cover</b>: Percentage canopy coverage when facing toward the left bank from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>average_cover</b>: Average of the four canopy cover measurements (Field type: numeric)</li><li><b>stream_width</b>: Wetted width of the stream (Field type: numeric)</li><li><b>stream_slope</b>: Slope of the stream (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2019-03-23 to 2019-05-16</p><p><b>Latitudinal extent: </b>4.6025 to 4.7317</p><p><b>Longitudinal extent: </b>117.4556 to 117.6414</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  -  -  -  Bufonidae <br> -  -  -  -  -  -  <i>Phrynoidis</i> <br> -  -  -  -  -  -  -  <i>Phrynoidis juxtaspera</i> <br> -  -  -  -  -  Dicroglossidae <br> -  -  -  -  -  -  <i>Limnonectes</i> <br> -  -  -  -  -  -  -  <i>Limnonectes finchi</i> <br> -  -  -  -  -  -  -  <i>Limnonectes kuhlii</i> <br> -  -  -  -  -  -  -  <i>Limnonectes leporinus</i> <br> -  -  -  -  -  Rhacophoridae <br> -  -  -  -  -  -  <i>Polypedates</i> <br> -  -  -  -  -  -  -  <i>Polypedates otilophus</i> <br> -  -  -  -  -  Ranidae <br> -  -  -  -  -  -  <i>Chalcorana</i> <br> -  -  -  -  -  -  -  [Chalcorana raniceps] <br> -  -  -  -  -  -  <i>Meristogenys</i> <br> -  -  -  -  -  -  -  [Meristogenys orphnocnemus] <br> -  -  -  -  -  -  <i>Staurois</i> <br> -  -  -  -  -  -  -  <i>Staurois guttatus</i> <br> -  -  -  -  -  -  -  <i>Staurois latopalmatus</i> <br> -  -  -  -  -  Megophryidae <br> -  -  -  -  -  -  <i>Leptolalax</i> <br> -  -  -  -  -  -  -  [Leptolalax friteniens] <br> -  -  -  -  -  -  <i>Leptobrachium</i> <br> -  -  -  -  -  -  -  [Leptobrachium abboti] <br></div><p></p>
Supplementary information to "Rainbow in the dark. The identification of diagnostic projectile impact features on rock crystal"
<p>Images of the experimental projectiles (pre-hafting, hafted before and after shooting), Hirox (Low magnification) pictures of pre-hafting and post-shooting projectiles and selection of fractures smoked with magnesium.</p>
Dataset of "Enhancement of impact heating in pressure-strengthened rocks in oblique impacts"
<p>This dataset contains input files for iSALE-3D and sample of a python script for the paper "Enhancement of impact heating in pressure-strengthened rocks in oblique impacts" by S. Wakita et al.<br> <br> Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires a registration from the iSALE webpage (http://www.isale-code.de) and usage of iSALE-2D and computational requirements are also shown in that page. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.<br> </p>
Impact Degassing of H2 on Early Mars and Its Effect on the Climate System
<p>Supporting information contains IDL saveset files to reproduce figures, and IDL source code to run the model, and an excel spreadsheet of crater statistics. </p>
The Impact of Hurricane Harvey on Pavement Structures in the South East Texas and South West Louisiana
<p>Corresponding data set for Tran-SET Project No. 18PUTA02. Abstract of the final report is stated below for reference:</p> <p>"This study developed a methodology to estimate the damage caused by flooding, such that caused by Hurricane Harvey, on a road or street network. The flooded street or pavement sections are identified using GIS flood maps with street GIS maps used for pavement management systems (PMS) by cities or state authorities. Then the damage caused by flooding directly through the increase moisture in foundation layers or indirectly due to the increase heavy traffic during the relief effort is estimated. An example Excel macro was created to illustrate the estimation process. The methodology estimates the increase in rehabilitation costs since the flooding imposes that many rehabilitation works must be done earlier than anticipated before the flooding. The methodology also estimated the increase in fuel consumption caused by the increased in pavement roughness if the rehabilitation works are done when anticipated before the flooding. The methodology and the Excel macro can also be used to identify the pavement structures with better resilience to the flooding by grouping sections based on the flooding duration (no flooding, single and multiple day flooding) and on design features such as pavement type, functional class, age or time from the most recent resurfacing or reconstruction, subgrade soil type, traffic volume, layer thickness."</p>
5-bus system and a real 221-bus low voltage network in the UK for analysing phase unbalance impacts on aggregated flexibility
<p>Two case studies for modelling flexibility services in low voltage distribution networks and quantifying the impacts of voltage unbalance limits and phase coordination constraints. The cases are in the OpenDSS format (.dss).<br>More details in the GitHub repository: https://github.com/AndreyChurkin/3FlexAnalyser.jl</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.