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299 results for “New York”
Coastal Native American Archaeological Sites in New York and Southern New England 12000-400 BP
Information on coastal Native American archaeological sites in New York and southern New England was compiled from various state historical commissions. The data include the following characteristics: Project Area, Project Size, and Cultural Remains, which identifies the presence of either pre-Contact (PRE) or historic (HI) material, or the lack of cultural material (NCM). Site type Site Type delineates the type of pre-Contact site represented by the artifacts and features identified at a location, which ranges from a Find Spot (FS) (a tool or piece of chipping debris found on the surface or found alone), and a Short-term Site (ST) (presence of artifacts indicating temporary use of a location), to a Seasonal Site (SE) (a site containing evidence of repeated occupation over long periods of time and with features and evidence for a broad range of activities), and a Sedentary Site (SD) (evidence of year-round habitation in form of botanical, faunal, fish and shellfish remains; presence of hearths, storage pits and middens; large variety and great quantity of tool types). Time periods Time Periods include: the Paleoindian Period (P) (12,000-10,000 BP); Early Archaic (EA) (10,000-8000 BP), Middle Archaic (MA) (8000-6000 BP), Late Archaic (LA) (6000-3000 BP), Transitional Archaic (TA) (3500-2500 BP), Early Woodland (EW) (3000-2000 BP), Middle Woodland (MW) (2000-1000 BP), Late Woodland (LW) (1000-500 BP), Contact period (C) (A.D. 1500-1620), and sites of unknown temporal affiliation (U). Activities The activities represented by the artifacts recovered from the sites include: lithic tool repair (LTR) (chipping debris), lithic workshop (LTW) (chipping debris, hammerstones, cores), hunting (HU) (faunal material and/or projectile points), fishing (FI) (net weights, fish hooks, fish bone), shellfish gathering (SG) (presence of shell), plant gathering (PG) (presence of charred seeds and/or nuts), food processing (FP) (bifaces, scrapers, knives, blades, and other lithic tools, f
Mid-19th Century Land Use on the Southern New England and New York Coasts 1832-1886
The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This data package includes GIS layers digitized by Harvard Forest researchers from copies of the US Coastal Survey “T-Sheet” maps available from the National Archives in College Park, Maryland. The US Coastal Survey, and then the US Coast and Geodetic Survey mapped the region, or specific parts of it, several times between 1832 and the 1960s. In this project we digitized the earliest T-Sheet available for each location. The original maps were surveyed between 1832 and 1886, with most of them made between 1835 to 1855. The original maps showed features such as roads, farm walls, railroads, buildings, some industrial buildings, saltworks, wharfs, and land cover including woodlands,
Land Use on the Southern New England and New York Coasts 1600-2001
The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. Despite the compelling rationale for examining this coastal region as a whole and for comparing its related, though distinctive geographic areas, an integrated and comprehensive study of the region has never been undertaken. We are investigating regional controls over landscape patterns and community distribution and will focus in detail on the dynamics of sandplain communities, including grasslands, heathlands, barrens, and woodlands, which are unique components of this region and high priorities for conservation. In order to determine the historical and modern abundance and distribution of these community types, and to relate these to historical patterns of land use, fire, winds
Soil nitrogen availability vs. acidification: effects on soil respiration, heterotrophic respiration, and soil physicochemical properties in mixed temperate forests in central New York, USA (2019-2022)
In 2011, an experimental nitrogen x pH manipulation study was initiated in mixed temperate forests in central New York, USA to disentangle the often-confounded roles of nitrogen (N) and soil pH in driving various ecosystem processes. This data package contains soil physicochemical properties (soil pH, resin available nitrogen), soil temperature, in situ soil respiration, and heterotrophic respiration measured from laboratory incubations of soils collected from experimental plots. Soil pH was measured both pre-treatment (2009-2010) and after 8 and 11 years of experimental treatment. All other properties were measured between 9 and 12 years after treatment initiation.
Ants in the New York Pine Barrens 2012-2013
Ants are ecologically important, environmentally sensitive, widespread, and abundant, yet ant assemblages of many habitats remain poorly understood. This is true of inland pine barrens in the northeastern United States. In the Northeast, such barrens support uncommon ant species and high species density for the region. Ants in inland barrens of New York State barely have been studied. To increase knowledge of these assemblages, I systematically collected ants from three NY inland barrens and investigated how hiking trails--a common man-made disturbance--may be impacting ant assemblages in these early-successional, disturbance-dependent ecosystems. My data strongly indicate uncommonly high densities of ant species in NY pine barrens, including the most northern known occurrences of two species, and show that hiking trails alter ant assemblage composition and species density.
Beaver Dams in Madison and Oneida Counties, New York State, 1994-2022
This point dataset comprises georeferenced (NAD 1983 Zone 18N) digital markers of beaver dam locations in the Counties of Madison and Oneida in New York State in the years 1994, 2003, 2013, and 2022, as determined manually and retroactively through observation of true-color (rgb) composite aerial imagery from those years. The New York State Orthoimagery Database supplied the relevant imagery, and the years were chosen according to the availability of imagery for both counties at the time of data collection. The approximately 40-inch resolution photographs from 1994 were taken as part of the United States Geological Survey’s National Aerial Photography Program, whereas the 6- to 12-inch resolution images from the subsequent years were taken as part of New York’s GIS Coordinate Program. Each point represents a unique beaver dam determined to be present in one or more of the aforementioned years from such land feature characteristics as curvilinearity, perpendicular orientation to streams, proximity to apparent beaver lodges, and other distinguishing contextual clues. The attribute fields to the point data include the smallest unit of watershed in which the dam in question lies or once lay, the approximate location of the dam in terms of a named geographic feature, and one field for each year with a code indicating whether the dam was found to be present that year (1-yes, 0-no). This inventory has been used thus far in an investigation of the changes in dam abundance and distribution over the past three decades.
High-Frequency and Water Quality Monitoring Data of Long Pond at Grafton Lakes State Park, New York, United States, 2024
This collection of datasets contains high frequency data captured through Hobo, Minidot, and water level sensors, as well as data collected from manual sampling days. Long Pond is located in Grafton New York, USA named for its long shape and shallower depth (max depth is around 8 meters). Using a buoy, sensors were attached to a rope at the deepest point discoverable and deployed. Data covers all information recorded from 2024-04-30 to 2024-10-09. Times are recorded in Eastern Standard Time. Temperature Readings were taken every 10 minutes at 1 meter intervals by both Minidots and hobo sensors (1.52-7.52 m). Dissolved Oxygen was similarly collected every 10 minutes by the Minidots at depths 1.52, 6.52, and 7.52 meters. Manual measurements (YSI and Secchi disk) were recorded on sampling days, as well as water samples that were assessed for water quality parameters from the top and bottom of the lake. Water level data was also collected in 12 hour intervals.
Forest Invasibility in Communities in Southeastern New York
While biological invasions have been the subject of considerable attention both historically and recently the factors controlling the susceptibility of communities to plant invasions remain controversial. In order to examine relationships between plant community characteristics, soil characteristics, and nonnative plant invasion, we surveyed 44 sites in southeastern New York State, USA in the summer of 1998. We examined both plant community characteristics (diversity and species membership) and soil characteristics (litter depth, pH, nitrogen, calcium, magnesium, cation exchange capacity, phosphorus, and soil texture). The data collected was then used to study patterns of invasion both within and among broad forest community types, in order to determine what factors were most closely associated with the success of invasive plants
Quantitative Content Analysis Data for Hand Labeling Road Surface Conditions in New York State Department of Transportation Camera Images
<p><strong>Foundational Codebook and Data: </strong></p> <p>Traffic camera images from the New York State Department of Transportation (511ny.org) are used to create a hand-labeled dataset of images classified into to one of six road surface conditions: 1) severe snow, 2) snow, 3) wet, 4) dry, 5) poor visibility, or 6) obstructed. Six labelers (authors Sutter, Wirz, Przybylo, Cains, Radford, and Evans) went through a series of four labeling trials where reliability across all six labelers were assessed using the Krippendorff’s alpha (KA) metric (Krippendorff, 2007). The online tool by Dr. Freelon (Freelon, 2013; Freelon, 2010) was used to calculate reliability metrics after each trial, and the group achieved inter-coder reliability with KA of 0.888 on the 4th trial. This process is known as quantitative content analysis, and three pieces of data used in this process are shared, including: 1) a PDF of the codebook which serves as a set of rules for labeling images, 2) images from each of the four labeling trials, including the use of New York State Mesonet weather observation data (Brotzge et al., 2020), and 3) an Excel spreadsheet including the calculated inter-coder reliability (ICR) metrics and other summaries used to asses reliability after each trial. The data are included in NYSDOT_quantitative_content_analysis.zip.</p> <p>The broader purpose of this work is that the six human labelers, after achieving inter-coder reliability, can then label large sets of images independently, each contributing to the creation of larger labeled dataset used for training supervised machine learning models to predict road surface conditions from camera images. The xCITE lab (xCITE, 2023) is used to store camera images from 511ny.org, and the lab provides computing resources for training machine learning models.</p> <p><strong>Obstructed Class Variation: </strong></p> <p>There are many applications for labeling roadside camera images, and as a variation of the foundational codebook, an addendum codebook provides another version of labeling the obstructed class. Specifically, this variation prioritizes labeling an image as “obstructed” only in extreme circumstances where there is a camera- or image- specific problem that prevents the assessment of any road surfaces. For labelers who want to use this version of the obstructed class (in this document) and also the other five weather-related classes (in the foundational codebook), the guidance is to use both documents in tandem, making sure to use the obstructed rules/definitions in this document while disregarding the obstructed rules/definitions in the foundational codebook. Alternatively, this codebook may be used alone in applications where the goal is to solely classify obstructed vs not obstructed. To ensure reliability and quality of this variation, quantitative content analysis was conducted on this addendum codebook, just as it was for the foundational codebook. Two labelers were tested with a sample of 30 images and achieved inter-coder reliability with Krippendorff's Alpha of 0.934 after one trial. The data, including the addendum codebook and labeling trial data (images and results) are included in ObstructedVariation_quantitative_content_analysis.zip.</p> <p>This material is based upon work supported by the U.S. National Science Foundation under Grant No. RISE-2019758.</p>
Law Indexes: New York (Local Laws)
<p>Under <a href="https://www.nysenate.gov/legislation/laws/CNS/A9">Article IX (Local Governments) of the Constitution of the State of New York</a>, adopted in 1963, local governments in the State of New York have the power to adopt local laws. To effectuate the article, the Legislature enacted the <a href="https://www.nysenate.gov/legislation/laws/MHR/">Municipal Home Rule Law</a> (<a href="https://hdl.handle.net/2027/uc1.a0001834712?urlappend=%3Bseq=893%3Bownerid=113368669-899">1963 N.Y. Laws 2697, Ch. 843</a>), which outlines the process that local governments must follow to adopt local laws. <a href="https://www.nysenate.gov/legislation/laws/MHR/27">Section 27 of the Law</a> requires local governments to file local laws with the Secretary of State before they can become effective.</p> <p>This data set contains index records for over 130,000 local laws filed with the Secretary of State, mostly between 1969 and 2003. Pursuant to Freedom of Information Law (FOIL) Request No. DOS-22-02-052, a copy of the index database, created using DataPerfect, was released by the State on March 17, 2022. These records were requested in an effort to expand the geographic scope and detail of information in the Local Geohistory Project, which aims to educate users and disseminate information concerning the geographic history and structure of political subdivisions and local government.</p> <p>This data set complements local law volumes published with session laws through 1973, along with printed indexes covering the years 1974 through 1982. Original local law filings for this time period have been accessioned by the New York State Archives as part of <a href="https://iarchives.nysed.gov/xtf/view?docId=ead/findingaids/13241.xml;query=">Series Number 13241</a>.</p>
Air Quality and Exposure Disparity Results for the Bronx, New York City
<p>This is the dataset accompanying the publication "Big Mobility Data Reveals Hyperlocal Air Pollution Exposure Disparities in the Bronx, New York". It contains mainly three parts: 1. day-to-day air quality prediction maps for exposure estimation; 2. street-level PM2.5 exposure and its disparity modeling results for all populations and for socio-demographic groups; 3. residence- and mobility-based exposure calculation for a sample of Bronx residents.</p>
Block-group level mode choice parameters for New York City and New York State
<p>We provide two datasets of census block group-level mode choice parameters for New York City and New York State. The parameters are estimated by GLAM logit model using Replica's synthetic population datasets (For details of the GLAM logit model, please refer to <a href="https://github.com/BUILTNYU/GLAM-Logit">BUILTNYU/GLAM-Logit (github.com)</a>). Each row contains a set of mode choice parameters for each block-group OD pair and one of the four population segments (low-income, not low-income, students, and senior population). Six trip modes are considered: private auto, public transit (such as buses, light rail, and subways), on demand auto (taxi or TNC services such as Uber or Lyft), biking (including e-bike), walking, and carpool. Parameters of twelve mode attributes are estimated, including, auto travel time, transit in-vehicle time, transit access time, transit egress time, number of transit transfers, non-vehicle travel time, trip cost, and five alternative specific constants (setting carpool as the reference level).</p> <p>In New York City, the average value of time (VOT) of low-income population is 21.67$/hour, the average VOT of not low-income population is 28.05$/hour, the average VOT of student population is 10.96$/hour, and the average VOT of senior population is 10.93$/hour. In New York State, the average value of time (VOT) of low-income population is 9.63$/hour, the average VOT of not low-income population is 13.95$/hour, the average VOT of student population is 7.40$/hour, and the average VOT of senior population is 6.26$/hour. </p> <p>The empirical distribution of agent-level parameters is neither Gumbel nor Gaussian, which reveals a regional divergence of the value of time and mode preference, indicating potential inequity issues in the transportation system. This is infeasible for conventional discrete choice models (DCMs) to capture. </p>
Block-group level predicted mode share for New York City and New York State
<p>We provide two datasets of predicted mode share, one for New York City and another for New York State. Each row contains the mode proportion of trips along a census block group-level OD pair made by one of the four population segments: low-income, not low-income, students, and senior population. Six trip modes are considered: private auto, public transit (such as buses, light rail, and subways), on demand auto (taxi or TNC services such as Uber or Lyft), biking (including e-bike), walking, and carpool.</p> <p>The prediction is based on GLAM logit model calibrated with Replica's statewide synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City. For more details of the model, please refer to our Github repository: <a href="https://github.com/BUILTNYU/GLAM-Logit">BUILTNYU/GLAM-Logit (github.com)</a></p>
2021 New York City Daily Residential Parcel Volume and Stops
<p>These datasets give <strong>2021 NYC residential parcel volume and stops </strong>information. The four datasets represent the estimated volume and stops served by Amazon, FedEx, UPS, and USPS respectively.</p> <p>The dataset is generated by using the Pluto 2021, 2020 census, 2020 USPS postal diary, and the market share among the four companies in 2021. In total,1.92 million daily residential parcels are estimated in the whole NYC area. Each row represents a unique stop. It contains the census tract ID the stop belongs to, its coordinates, and the delivery (FTA) and pickup (FTP) volume. We assume that no pickup volume is assigned to Amazon and USPS due to their service characteristics. In the case of USPS, no direct pickup service will be provided. Instead, the parcel will be directly handed to post offices for pickup. The pickup volume proportional to Amazon's market share is evenly distributed to FedEx and UPS pickup services.</p> <p>"myGraph.pickle": pickle file storing the NYC OSM network graph.</p> <p>"Shapfile.zip": Shapefiles containing different geographic features of NYC.</p> <p>"Centroid_OSM.zip": OSM maps storing the centroid of NYC census tracts.</p> <p>"NTA_dist.zip": VKT result based on NTA. </p> <p>"Service Zone": facility locations represented by OSM node ID and the service areas defined by census tracts</p>
Adirondack Public Good Events Database: Natural Resource, Environmental, Economic and Recreation Policy and Common Pool Resources for a Social-Ecological System in Adirondack Park, New York, USA, 1760-2020.
I assembled this dataset from various published sources to evaluate how the social-ecological system (SES) in Adirondack Park, New York changed through time and the interplay of public goods (Common Pool Resources, CPRs), public land rules and private land rights, and related concepts over 260 years (1760-2020). The database was the basis for a doctoral dissertation titled "Blue Lining: Assessing the Resilience of Adirondack Park, New York Using Polycentricity and Panarchy Frameworks." The goal of the dissertation was to assess patterns and changes in institutional rules, actors and arrangements before and after establishment of the public Adirondack Forest Preserve in 1885 and Adirondack Park in 1892 as those actors and rules were modified and as both internal and external events influenced the SES as it moved through different phases of the adaptive cycle through space and time (see panarchy). Using the database, I identified which organizations and events contributed to natural resource and CPR policy. The dissertation can be downloaded here: https://experts.esf.edu/esploro/outputs/99917370604826.
Harmful Algal Bloom Reports for 405 lakes in New York State (USA), with antecedent weather conditions and trophic status for each lake.
Cyanobacterial harmful algal blooms (cyanoHABs) are often associated with warm water temperatures and low wind speeds, but quantifying thresholds in meteorological conditions is challenging. In an attempt to better quantify antecedent weather conditions associated with cyanoHABs, we assembled a dataset to include cyanoHAB reports from individual lakes, as well as air temperature and wind speed data on the day of, and 5 days preceding each cyanoHAB report. CyanoHAB reports were provided by the New York State Department of Environmental Conservation (NYSDEC) for 405 lakes for an 11 year period spanning 2012-2023. We used 4km gridded surface meteorological data to calculate antecedent weather conditions leading up to each report. The resulting dataset includes 4,208 cyanoHAB reports from lakes of varying trophic states in New York State (USA). We calculated anomalies in daily wind speed and air temperature for each report and the five days preceding it. The dataset is formatted as a wide table, with individual cyanoHAB reports listed by row. Each row provides report-specific data to include the date, site, trophic state of the lake, and the cyanoHAB report status. Each row contains weather data specific to the date and location of each report, with weather variables calculated from the closest grid point for each lake site. We provide 36 columns containing weather variables for each report to include air temperature and wind speed for the day of the HAB as well as the 5 days preceding it. We also provide a 24-year mean value for the day of the year (DoY), as well as the calculated difference between the day in question and the 24-year mean for the DoY.
Lake ice surveys, 1874-2022, Adirondack Long-Term Ecological Monitoring Program Project No. 8 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.
The objective of this dataset is to document ice-in and ice-out dates on several lakes on the State University of New York College of Environmental Science and Forestry's Huntington Wildlife Forest (HWF). Lakes include: Arbutus, Catlin, Deer, Military, Rich, Wolf and Lodo Pond; some records exist for Long Pond and other water bodies but they are not included here except in some comment fields.
Socioeconomic disparities in subway use and COVID-19 outcomes in New York City
<p>Using data from New York City, we found that there was an estimated 28-day lag between the onset of reduced subway use and the end of the exponential growth period of SARS-CoV-2 within New York City boroughs. We also conducted a cross-sectional analysis of the associations between human mobility (i.e., subway ridership), sociodemographic factors, and COVID-19 incidence as of April 26, 2020. Areas with lower median income, a greater percentage of individuals who identify as non-white and/or Hispanic/Latino, a greater percentage of essential workers, and a greater percentage of healthcare essential workers had greater mobility during the pandemic. When adjusted for the percent of essential workers, these associations do not remain, suggesting essential work drives human movement in these areas. Increased mobility and all sociodemographic variables (except percent older than 75 years old and percent of healthcare essential workers) was associated with a higher rate of COVID-19 cases per 100k, when adjusted for testing effort. Our study demonstrates that the most socially disadvantaged are not only at an increased risk for COVID-19 infection, but lack the privilege to fully engage in social distancing interventions.</p>
Dataset supplementing Marx, S., Gruenhage, G., Walper, D., Rutishauser, U., Einhäuser, W. (2015). Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory. Annals of the New York Academy of Sciences. 1339, 138-153.
<p>Data supplementing the paper Marx, S., Gruenhage, G., Walper, D., Rutishauser, U., Einhäuser, W. (2015). Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory. <em>Annals of the New York Academy of Sciences. 1339, </em>138-153. doi: 10.1111/nyas.12575 The files can be freely used for scientific purposes, provided this reference is appropriately cited.</p> <p>Files contain the behavioral data, the model can be found at https://doi.org/10.5281/zenodo.573026</p> <p> </p> <p>The following files are contained in this folder:</p> <p>dataExp1.mat contains the data of experiment 1</p> <p>The variables durationLeft and durationRight contain 5 x 6 x 6 cell arrays with the dominance durations for the left and right grating, respectively. Dimensions are subject x contrast level left x contrast level right.</p> <p><br> dataExp2.mat contains the data of experiment 2</p> <p>Variables buttonStart, buttonEnd and whichButton contain 3x4x5 (contrast levels x blank duration levels x subjects) cell arrays that contain the start time and end time of each button press, and which button (1/2) was pressed, respectively.</p> <p>Variables presStart and presEnd contain 3x4x5 (contrast levels x blank duration levels x subjects) cell arrays that contain start and end of each blank period. All time stamps refer to the onset of the first blanking trial (end of continuous presentation)</p> <p>Variable prevPerz contains the percept (button) that was pressed at the end of the continuous presentation period.</p> <p><br> figure3_human.m, figure4_human.m and figure6_human.m exemplify the usage of the data by re-plotting the figures containing human data of the aforementioned paper</p>
Urban Redevelopment by Census Tract in New York City (2000 -2020)
<p>The annual urban redevelopment map for NYC was produced using the classification method proposed in this experiment to highlight the spatial and temporal distribution of urban reconstructions. The time-series gentrification risk maps illustrate areas that have faced gentrification risk since 2000. The data was aggregated to the Census tract level for displaying a visually friendly result. The raw building-level data is also provided.</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.