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6,298 results for “2022”
Raw microclimate data from plots at burned areas from the 2020 Holiday Farm fire in the Andrews Experimental Forest and Hagan Block, 2022-2024
This dataset includes a suite of microclimate sensor data from areas burned by the 2020 Holiday Farm fire within the McKenzie River basin. A total of 42 microclimate sensor suites were installed in July and August of 2022 distributed across RS01, RS08, RS15, WS02, WS09, WS01, HGBK. All sensor locations are within the Holiday Farm Fire footprint and within Permanent Sample Plots (PSPs). An additional sensor was placed within the Primary meteorological station (PRIMET) of the HJ Andrews Experimental Forest for comparison and calibration between open-air measurements. Sites are stratified across three treatment variables including 1) fire severity: high or low; 2) management: managed or unmanaged; 3) water balance: moister or drier topographic positions. This resulted in eight treatment blocks, each with 5 sensor suite replicates. Each microclimate site includes a suite of measurements: Hobo temperature and relative humidity sensor installed at 1.5m within a gill shield (recording at 30 minute interval), one TOMST TMS-4 temperature and soil moisture sensor was located within 1 m of plot center (recording at 15 minute interval). The TOMST sensors include air temperature sensors at 15cm, 2cm, and soil temperature at -6cm in soil near-surface. Soil moisture is measured across the ~10cm near surface zone.
Drought experiment on aquatic vertebrate populations in McRae Creek, HJ Andrews Experimental Forest, 2022
Three distinct reaches in McRae Creek west tributary (MCTW) within the HJ Andrews Experimental Forest in western Oregon were designated for manipulation and data collection. Manipulations included increasing the temperature (T), reducing streamflow (Q), and a reference (R reach). Population estimates of vertebrates, specifically Coastal Cutthroat Trout and Coastal Giant Salamander, were obtained using three-pass depletion methods in each reach. A Before-After-Control-Impact (BACI) design was implemented, distinguishing between the "Before" and "After" periods. "Before" surveys were conducted from July 18th to 20th, 2022, while "After" surveys occurred from September 8th to 9th, 2022. During the surveys, each species was identified, noting life stage, and relevant measurements were taken. For trout, these included the length from the snout to the tail fork (Length_Fork_Vent), the snout to the tail (Length_Tail), and weight. In the "Before" survey, all trout were tagged with elastomer tags: red for the T reach, yellow for the Q reach, and orange for the R reach. Trout larger than 80 mm also received PIT tags in their abdominal cavities. Salamanders were measured similarly, not elastomer or PIT tags were applied. During the "After" survey, no new elastomer or PIT tags were inserted; only previously tagged fish were recorded. Additionally, stream cross-sections were surveyed every 5 meters to document stream dimensions. Recorded data included the location, reach, sample date, BACI status, and distance downstream from the upstream cross-section (0 meters). Measurements at each cross-section included wetted width, bankfull width, and depths at five evenly spaced points. Furthermore, pools were identified and measured in each reach, noting the maximum pool depth, depth at the outflow, width, and length. Temperature sensors were installed in each reach, recording stream temperature every 15 minutes. Sensor locations were recorded as the distance downstream from the top of e
Water chemistry in streams and precipitation samples in the HJ Andrews Experimental Forest, 2022-2023
Water samples have been collected for chemical analysis at various locations in the HJ Andrews Experimental Forest, starting in 2022. The database includes grab samples gathered approximately weekly in selected streams and bulk precipitation collected at the PRIMET meteorological station. Samples were analyzed for cations (Si4+, Ca2+, Mg2+, K+, and Na+) and anions (Cl- and SO42-).
Cone production of upper slope conifers in the Cascade Range of Oregon and Washington, 1959 to 2022
Seed supply is a key feature of tree population dynamics, and seed production may be indicative of environmental and biological drivers. This study examines cone production in upper-slope, true fir-hemlock forests of the Pacific Northwest, starting in 1959 to the present. Annual surveys of cone counts of Abies spp. (A. amabilis, A. concolor, A. grandis, A. lasiocarpa, A. magnifica, A. procera), Pinus spp. (P. engelmannii, P. lamberti, P. monticola), and Tsuga spp. (T mertsiana) have been conducted at sixty-one plots in 37 locations in nine national forests in Washington and Oregon (originally 10 national forests, but Mt. Baker and Snoqualimie were combined). At each site, a visual count is made of cone production in each of a number (20-30) trees in a stand of one tree species. At some plots, additional trees were added in the 1980s. Primary data include numbers of counts per tree per year, periodic measurements of tree diameter, and the names of the sites. These data illustrate the periodicity of cone production cycles, as well as longer trends associated with climate change and variability in the region.
Arctic fish biomarker profiles from Beaufort Sea coastal lagoons, 2017–2022
Fish sampling occurred in three regions across the Beaufort Sea coast: Elson Lagoon in Utqiaġvik, Stefansson Sound in Prudhoe Bay, and Kaktovik and Jago lagoons in Barter Island (city of Kaktovik). Arctic fishes were collected to determine trophic niche overlap by determining stomach contents, bulk carbon and nitrogen stable isotopes (SI), compound specific stable isotopes of carbon in essential amino acids (CSIA-EAA) and their fatty acid (FA) profiles. Fishes were collected in each of the three regions during the open water season in August 2021 and 2022, with supplemental samples collected in 2017 – 2019. The target fish species included three diadromous species: Arctic Cisco (Coregonus autumnalis), Least Cisco (Coregonus sardinella), and Dolly Varden (Salvelinus malma), and three marine fish species: Polar Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), and Fourhorn Sculpin (Myoxocephalus quadricornis). Up to ten individuals per species per region were sampled, but not all species could be collected in all regions. Stomach contents were reported as the total number of individuals per prey category for the following categories: Amphipoda, Polychaeta, Harpacticoidea, Saduria entomon, Nemertea, Priapulida, Cumacea, Mysidacea, Calanoidea, Larval fish, Chironomida, Insecta, Misc. Stable isotope values of δ13C and δ15N are reported as “del_13c” and “del_15n”, respectively. Individual fatty acids are reported as the percent relative to total fatty acids for 35 fatty acids: C8:0, C10:0, C11:0, C12:0, C13:0, C14:0, C14:1n5, C15:0, C15:1, C16:0, C16:1n7, C17:0, C17:1, C18:0, C18:1n9 trans, C18:1n7, C18:2n6 trans, C18:2n6 cis, C18:3n3, C18:3n6, C20:0, C20:1n9, C20:2n6, C21:0, C20:3n6, C22:0, C20:4n6, C20:3n3, C20:5n3, C22:1n9, C22:2n6, C23:0, C24:0, C22:6n3, C24:1n9. Stable isotope values of δ13C are reported in the following essential amino acids: Valine (Val), Leucine (Leu), iLeu (isoleucine), Methionine (Met), Phenylalanine (Phe), Lysine (Lys).
Daily average pCO2, dissolved oxygen, and water quality in Elson Lagoon: 2019, 2021, 2022
pCO2 (partial pressure of carbon dioxide) and other physicochemical parameters were measured during the open water season (July-August) in three years (2019, 2021, 2022) at five sites in Elson Lagoon, a coastal ecosystem near Utqiagvik, AK, as a supplement to the Beaufort Lagoons Ecosystems LTER core sampling program. Locations include three shallow sites (<1 m water depth) at a depth of 0.5 m and two deep sites (up 2 m depth) at a depth of ~1.7m. Data includes daily averages of sensor data for each site of pCO2 (uatm), water temperature (°C), absolute pressure (kPa), salinity (ppt), dissolved oxygen (DO, mg/L), light extinction (Kd; m-1), and water level difference from mean tidal level (m). Discrete laboratory data for dissolved organic carbon (C; umol/L) and turbidity (NTU) are also presented.
Long-term seasonally and annually aggregated climatic variables for the greater Phoenix, Arizona, USA, metropolitan area and the surrounding Sonoran desert, derived from single-day NASA Daymet images, 2000 to 2022
This data package consists of multiple decades of bioclimatic raster data across the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) study area within metropolitan Phoenix, Arizona, USA, temporally aggregated by year and by four meteorological seasons (winter, spring, summer, fall). We sourced each bioclimatic variable from 1-km resolution gridded estimates of daily climatic data from NASA Daymet V4, including daily mean (ppt) and total precipitation (ppt_sum), daily maximum air temperature (temp_max), daily minimum air temperature (temp_min), incident shortwave radiation flux density (srad), and daily average partial pressure of water vapor (vp). For each of these six variables, we created temporally aggregated raster images by calculating mean pixel-values of each for each season and year, as well as producing a seventh variable of seasonally and annually summed precipitation (ppt_sum). Finally, we exported images as individual GeoTIFF raster files, each with five bands corresponding values summarized annually (band 1) and seasonally (bands 2-5). All imagery retrieval and data processing were completed with Google Earth Engine (Gorelick et al. 2017) and program R. A complete description of data processing methods, including the aggregation of imagery by year and season, can be found in the data package metadata (see 'Methods and Protocols') and accompanying Javascript code. ### citations - Gorelick N, Hancher M, Dixon M, et al. (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031
Sediment elevation measurements from the GCE LTER Seawater Addition Long-Term Experiment (SALTEx) sampling sites from July 2013 to August 2022
SALTEx (Seawater Addition Long-Term Experiment) is a field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. We are measuring soil surface elevation tables (SETs) in the plots as one of the response variables for the SALTEx project.
Fall 2022 grasshopper monitoring -- mid-marsh grasshopper abundance and species diversity at eight GCE LTER sampling sites
Grasshopper abundance and species diversity were investigated at eight sampling sites within the Georgia Coastal Ecosystems (GCE) LTER study area in July 2022. Visual surveys were conducted along 8 2m by 10m transects randomly allocated within the mid-marsh zone at each site. All grasshoppers observed within each transect were counted and identified to species, if possible. This survey was conducted as part of the GCE invertebrate monitoring program, and will be performed annually to assess long-term changes in relative species abundances across the GCE study area.
GCE-LTER Altamaha River Plant Community Monitoring Survey in October 2022
A quadrat survey was conducted in October 2022 to measure the species and size distribution of plants at 3 sampling sites on the creekbank of the Altamaha River. The sites were chosen to capture the transition from Spartina alterniflora to Spartina cynosuroides (site SCSA) and the transition from Spartina cynosuroides to Zizaniopsis miliacea (sites ZSC1 and ZSC2). The quadrats were established as permanent plots in October 2012 by placing PVC stakes along the creekbank at each site. Plots were evenly spaced, but were not randomly located because the goal was to start with mixtures of vegetation in most of the plots, and vegetation was distributed in patches along the creekbanks. Therefore, these plots provide useful measures of vegetation change, but are not a random sample of the vegetation at the site. Plots will be replaced each year as necessary to replace any lost to disturbance. The plots were visually surveyed and the species, shoot height, and flowering status was recorded individually for each shoot over 10 cm in height present in each plot. Observations from plots exhibiting signs of disturbance were noted in a separate data set. This survey will be repeated annually to assess changes in plant distribution and biomass in relation to environmental changes documented by other GCE LTER monitoring efforts.
Root Systems of Individual Plants Worldwide 2022
The above- and below-ground sizes and shapes of plants strongly influence plant competition, community structure, and plant-environment interactions, but the plant size and shape across climate regimes remain incompletely understood. In this study I seek to understand how plant geometries respond to varying climates via trade-offs in shoot height and width, and root depth and spread. I more than doubled the Root Systems of Individual Plants (RSIP) database to contain 5,647 observations, to our knowledge the largest database describing the maximum rooting depth, lateral spread, and shoot size of terrestrial plants in the world. Shoot size and root system size strongly covary. Across climatic gradients woody plants show deeper-narrower root systems in arid climates and taller shoots in humid climates. Phylogeny greatly influences shoot size. Rooting depth is primarily influenced by climate seasonality and lateral root spread is strongly influenced by shoot size. Using our newly expanded global database I found that shoot size covaries strongly with rooting system size; however, these relationships are not static across the climate space, as the geometries of plants shift considerably.
Managing Crop Yield Risk at the Kellogg Biological Station, Hickory Corners, MI (2022 to 2023)
Dataset Abstract As farmers adapt to changing climate, they modify practices and technologies to manage evolving risk. Adaptive changes may be as small as adjusting a crop insurance coverage level or as large as investing in an irrigation system. Farmer attitudes toward risk and their subjective perceptions of the evolving probability distributions of crop yields drive adaptation decisions. To understand climate change adaptation behavior by farmers, we undertook the study “Elicitation and Estimation of Risk Preference and Subjective Probabilities to Understand Farmer Decisions on Climate Change Adaptation.” We interviewed 44 Michigan corn and soybean farmers to elicit mathematical expressions of their risk attitudes. During the interviews, each completed two sets of lottery choices, the first using 25 general risky gambles and the second using 18 risky gambles in a crop farming context that enable econometric estimation of risk attitudes (using variants of Expected Utility Theory). Next, they answered questions about corn yield probability distributions over the past ten years and the next ten years (triangular distributions of minimum, most likely, and maximum values) with no water management, irrigation, tile drainage, and drought-resistant seed. After that, they reported on water management investments that they have made in past and intend to make in future. Finally, they provided background information about themselves and their farms. This study (MSU Study ID: STUDY00007871) was submitted to the Michigan State University Institutional Review Board (IRB) by principal investigator Scott Swinton. On July 5, 2022, it was determined to be exempt under 45 CFR 46.104(d) 3(i)(B). Data collection took place during September 2022 through March 2023. Farmer respondents completed the survey instrument on Qualtrics with assistance from graduate students in Agricultural, Food, and Resource Economics at Michigan State University at various MSU Extension offices and restaura
Minneapolis-St. Paul Metro Area Residential Bee Lawn Survey, 2022
We surveyed Minneapolis-St. Paul (MSP) metropolitan region residents who have an interest in pollinators and pollinator habitat (e.g., bee lawns). Potential respondents were recruited from MSP pollinator-friendly email listservs. The survey was open from May 24, 2022 to June 30, 2022, and distributed to 494 individuals. Our final N, accounting for broken email addresses, non-responses, and less than 50% survey completion, is 256. The survey contains six categories of questions along with a set of panel data. Question categories include: home, yard, and lawn characteristics and observations; lawn care responsibilities and opinions; bee and bee lawn knowledge and opinions; formal and informal rules shaping lawn decisions; and lawn information sources, trust, authority, and advocacy. Survey respondents were primarily white, older, wealthy, and well-educated women. Our findings show that values influencing lawn management are primarily environmentally focused (e.g., pollinators, climate) rather than aesthetically focused (e.g., increases property values, fits neighborhood look). Generally, individuals reported that there are no—or they are unsure-- whether there are formal (e.g., ordinances), and informal (e.g., neighbor expectations) rules about lawn management. Respondents overwhelmingly report that University of Minnesota Extension is a highly trusted source of lawn management information. Finally, the majority of respondents promote or encourage alternative lawn management practices (e.g., bee lawns, pollinator gardens), primarily through informal activities (e.g., block parties, word of mouth).
Time-lapse camera (phenocam) imagery of black sand extended growing season length experiment, 2022 - 2023.
As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and potentially earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Black Sand Extended Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows in a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot of each block by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to these plots after snow had naturally melted. This dataset includes phenocam images from 2022-2023.
Lower American River restoration spawning surveys at project and control reaches (2022 - 2024)
Sacramento Water Forum has implemented spawning and rearing habitat enhancement projects on the Lower American River at the Lower Sailor Bar, Nimbus Basin, Upper River Bend and Lower River Bend reaches. Enhancements include installation of gravel to restore over 28 acres of spawning habitat and in-channel/floodplain grading to create over 44 acres of rearing habitat. Construction of Lower Sailor Bar and Nimbus Basin were completed in summer 2022, Upper River Bend was completed in summer 2023, and Lower River Bend was completed in summer 2024. The goal of the projects is to increase existing spawning and rearing habitat for salmonids under typical flows. This work supports effectiveness monitoring for this project, including spawning and rearing (snorkel) surveys before and after restoration. This work also informs performance metrics and adaptive management strategies.
CVPIA Predation Contact Point Study - 2022: The impact of submerged aquatic vegetation removal on fish predation in a tidal river channel
Proliferation of non-native submerged aquatic vegetation (SAV) has the potential to cause widespread ecosystem changes, and has been attributed to declines in native fish populations around the world. One pathway for these declines is non-native SAV may render ecosystems more hospitable to fish predator species by creating habitat structure, by altering lower trophic food webs, or by affecting predator-prey interactions. It is presumed that non-native vegetation removal will generally favor native fish, however, fish community responses to SAV removals are not well understood. Using a field-based Before-After-Control-Impact study design, we measured the impact of manual SAV removals on short-term changes in predator abundance, predation risk on juvenile Chinook salmon ( Oncorhynchus tshawytscha ; a native fish of management concern), and the aerobic scope of predator and prey in California’s Sacramento-San Joaquin Delta. We found that, while SAV removals decreased abundances of the most common SAV-associated predator, largemouth bass ( Micropterus salmoides ), they resulted in higher predation risk of tethered prey, likely due to the removal of refuge habitat and the immigration of an open-water predator, striped bass ( Morone saxatilis ). SAV removals also buffered against a seasonal decline in environmental oxygen supply, increasing the aerobic scope of juvenile Chinook salmon and largemouth bass; whether such gains for prey would outweigh the persistent aerobic advantage of predators is an open question. While limited in spatial and temporal scope, this study has put into question any short-term benefits of small-scale SAV removal efforts for native fish populations, especially in areas where open-water predator species are abundant.
Endurance swimming performance and physiology of juvenile Green Sturgeon (Acipenser medirostris) at different temperatures, CA, 2022
This dataset provides information on the endurance swimming performance and physiological responses of juvenile Green Sturgeon (Acipenser medirostris), reared and tested at the University of California, Davis, in 2022. Fish were acclimated to two temperature treatments (13°C and 18°C) for 14 days prior to swimming trials. Endurance tests were conducted at 47–53 days post-hatch (DPH) in modified swim tunnels at fixed water velocities (25–55 cm s⁻¹) to measure time-to-fatigue (End.min), station-holding behavior (Station_holding), and swimming type (Swim.type). Fish morphometrics (e.g., weight, fork length, total length) were recorded before trials. Post-swim physiological analyses included whole-body measurements of cortisol, glucose, lactate, and protein. Tissue homogenates were processed to determine concentrations normalized to fish weight (e.g., Cortisol_ng_g, Glucose_ug_g, Lactate_ug_g). Standard curves showed high assay linearity (R² > 0.98) and low variability (CV < 10%). This dataset contributes to understanding sturgeon endurance and physiological stress under different environmental conditions, providing insights into their resilience to temperature and flow changes relevant to river management and conservation efforts. Variables include: species, developmental stage (DPH), rearing and trial conditions (tank, temperature, velocity), fish morphometrics (weight, fork length, total length), and physiological metrics (cortisol, protein, glucose, and lactate).
Avian sound propagation in three Michigan Forests, 2022
In three forest types, dry-mesic northern forest, rich conifer swamp, and boreal forest, we recorded pure tones within songbirds’ auditory range (2 to 8 KHz) at 6 different distances along a transect and quantified different aspects of the vegetation through which the pure tones traveled. Four transects per forest type were used and sounds were recorded at two different heights (1 and 5 m). Linear regression analysis was used to determine if the pure tones were attenuated differently along transects, between sampling heights, and across forest types.
Anatoxin concentrations, algal assemblages, and water quality data for the South Fork Eel, Salmon, and Russian Rivers in northern California, 2022-2023
We collected this data to better understand the timing of peak benthic cyanobacterial mat occurrence (specifically taxa associated with anatoxin production, Microcoleus and Anabaena) and mat anatoxin concentrations in rivers. We sampled in northern California on the South Fork Eel, Salmon, and Russian Rivers biweekly in 2022, and the Salmon River biweekly and South Fork Eel weekly in 2023. During each sampling event, we conducted benthic cover surveys, measured in-situ water quality parameters (temperature, pH, dissolved oxygen, conductivity), and collected surface water samples and targeted cyanobacteria samples. In 2022 on all rivers and in 2023 at the Salmon River, we also collected distributed non-targeted periphyton samples to characterize full-reach community compositions. All sampling was completed in 150-m reaches upstream of sensors recording continuous dissolved oxygen, conductivity, and temperature data. We analyzed surface water samples for nitrate, ammonium, soluble reactive phosphate, total dissolved carbon, and dissolved organic carbon. We also analyzed surface water samples from 2022 for major anions (Cl, SO4, Br) and cations (Na, K, Mg, Ca). Targeted-cyanobacteria and non-target periphyton samples were analyzed for anatoxins (and two other classes of toxins, microcystins and cylindrospermopsins), relative abundance of algal taxa (via microscopy), ash-free dry mass, and chlorophyll-a. To estimate mean river depth within the dissolved oxygen footprint upstream of sensors, we kayaked portions of the river and collected river depth measurements. We also measured discharge at each river excluding the Salmon River (due to high discharge) and completed pebble counts at the South Fork Eel River to obtain sediment grain size distributions. Lastly, we estimated daily reach-scale river metabolism (gross primary productivity and ecosystem respiration) using data from dissolved oxygen sensors with the "streamMetabolizer" package in R at all sensor placements.
St. Louis River Estuary Phytoplankton and Water Quality, 2022 - 2024
This data package supports the project Building a Collaborative Water Quality Monitoring Strategy for a Changing St. Louis River Estuary, funded by the National Estuarine Research Reserve System Science Collaborative. Led by the Lake Superior National Estuarine Research Reserve (LSNERR) and University of Minnesota’s Natural Resources Research Institute (NRRI) datasets include 2023–2024 water quality, phytoplankton, and winter dissolved oxygen observations from eight estuary “hotspot” locations. Sampling captured seasonal variability and cyanobacteria bloom events. All samples were collected using standardized field and laboratory protocols. Project details and associated products are available at: https://nerrssciencecollaborative.org/project/Ramage22. This dataset can be used to evaluate spatial and temporal patterns in water quality and phytoplankton dynamics, assess predictors of cyanobacterial blooms, and monitor winter under-ice hypoxia in the St. Louis River Estuary. It is well-suited for research on nutrient-bloom relationships, seasonal ecological shifts, and long-term monitoring strategy development.
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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.