Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
274
datasets available to search
ShareScore release 0.9.0
Dataset results
274 results for “Understory”
Peeking under the canopy: anomalously short fire-return intervals alter subalpine forest understory plant communities
Changing climate and fire regimes are profoundly affecting temperate coniferous forests, driving greatly reduced tree cover postfire. However, whether similar changes are present in the understory of these forests remains less well-understood. We sampled understory plant communities in 20 plot pairs across Greater Yellowstone (Wyoming, USA) in July and August 2021, with each including one plot burned at short (<30 year) fire-return interval and one plot burned in the same most recent fire but not burned previously for >125 years. We also included 11 plot pairs meeting our definition of short- and long-interval fire that were sampled 12 years after the 1988 Yellowstone fires in summer 2000. We also used previously collected published and unpublished data to compare understory communities following recent (2016) short-interval fires to those following the previous long-interval fire in the same general area. In each plot, percent cover of understory plant species was estimated in 0.25-m2 quadrats, and species richness determined via a whole-plot sweep. Understory plant community cover, richness, and diversity did not differ by interval class, but species able to persist in drier conditions and in lower vegetation zones became more abundant following shot interval fire. Further, previously distinct understory communities following long-interval fire in two regions of Greater Yellowstone became slightly more similar following recent short-interval fire. Dissimilarity between plot pairs increased with greater historical snowfall and decreased with time since fire and postfire winter snowfall. These changes to understory plant communities may continue with ongoing shifts in climate and fire across temperate and boreal forests.
Variation in the Composition of Understory Vegetation in a Tropical Rain Forest as a Function of Soil and Topographic Position. 1986 - 1990
Understory plants are a major contribution to the high plant species diversity of Neotropical rain forests. Shrubs, understory trees, saplings of overstory trees, and herbs occupy a habitat of generally low light levels and high humidity in which there seem to be few obvious mechanisms to support habitat partitioning. Moreover several plant families are characterized by a high number of co-occurring understory species. In 1987-1989 we sampled understory vegetation in 18 sites at the La Selva Biological Station of the Organization for Tropical Studies in Heredia Province, Costa Rica. At each site we used 20 nested quadrats to investigate the effects of soil type on replicated sites of mapped alluvial and residual volcanic soils (5 map units) and topographic positions (ridges, midslopes and flats) on composition, density and diversity of small (1m tall to 5cm dbh, 25 m2 quadrat) and large(5-10cm dbh, 100 m2 quadrat) understory plants. We also measured fine litter dry mass, extractable P, total organic matter, percent slope and percent incident light radiation in each quadrat.
Species and height of understory trees and shrubs in a chronosequence of reforested urban sites, Lexington, KY USA.
This dataset contains information on soil physical and chemical characteristics across twenty urban reforestation sites planted as part of the Reforest the Bluegrass program in Lexington, KY. Urban reforested areas located in Lexington, Kentucky were evaluated over the course of summer 2020. At least three plots (and up to nine plots) were established in each site, with additional plots added if forested patches were sufficiently large. At each plot, we established a 0.002-ha (0.005-ac) circular sampling plot to survey woody understory species, respectively. Height and species of all woody plants <2.5 cm DBH and ≥30 cm tall were tallied to the nearest 0.5 cm with a telescoping height pole. These data will contribute to understanding of understory stand dynamics in developing urban forests.
Alaskan Peatland Experiment: Community structure and productivity data for 2007-2010 III - Understory Biomass
This dataset contains understory aboveground biomass data from a destructive harvest performed in 2009 at the Alaskan peatland experiment. Two peatland types are included, a bog site and a fen site. Within the fen site a water table manipulation has been ongiong since 2005, with control, lowered and raised water table treatment plots. Samples at the bog were collected in a plot established within the lowland black spruce permafrost plateau (permafrost), and two plots established within collapse scars embedded within the plateau. One collapse scar formed ~ 45 years ago (old collapse) and the other formed ~ 25 years ago based upon aerial photography provided by the BCEF LTER. The data provided in this data set can be sorted by site and plot.
Alaskan Peatland Experiment: Community structure and productivity data for 2007-2010 IV - Understory Vascular ANPP
This dataset contains net primary productivity (NPP, g/m2/yr) measurements for understory vascular components of the plant community collected at peak biomass in the summer of 2009 at the Alaskan peatland experiment. Two peatland types are included, a bog site and a fen site. Within the fen site a water table manipulation has been ongiong since 2005, with control, lowered and raised water table treatment plots. Samples at the bog were collected in a plot established within the lowland black spruce permafrost plateau (permafrost), and two plots established within collapse scars embedded within the plateau. One collapse scar formed ~ 45 years ago (old collapse) and the other formed ~ 25 years ago based upon aerial photography provided by the BCEF LTER. The data provided in this data set can be sorted by site and plot.
Measurement of Fuel load (organic biomass) Quantities of Organic Soils, Understory Plants and Trees at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains fuel load measurements for a subset of the BNZ LTER's RSN sites (n = 28). The data for each site separted by 16 fuel types (or plant functional types) including organic soil layers (fibric, mesic), vascular understory (evergreen shrub, short deciduous shrub, graminoid, forb, tall deciduous shrub, tree seedling/sapling, dead-downed wood), nonvascular understory (feather moss, Sphagnum moss, colonizer moss, lichen) and trees (evergreen tree, deciduous tree).
SBC LTER: Reef: Understory and phytoplankton production at cleared and control plots, Mohawk Reef, 2007-2008
These data are described in: Miller, R. J., D. C. Reed and M. A. Brzezinski. 2011. Partitioning of primary production among giant kelp ( Macrocystis pyrifera ), understory macroalgae, and phytoplankton on a temperate reef. Limnology and Oceanography, 56: 119-132
Dataset on light measuments in the understory of a Tropical forest restoration submitted to four thinning intensities through chemical management
<p>The lack of information on the management of light in tropical forests causes a technical constraint for timber production in restoration sites, especially given the light restrictions for timber production. This issue could be amended with the development of methods to easily manage and estimate light availability, targeting practices that balance restoration success and productivity. We conducted the study that gathered this data in an area within the Atlantic Forest, Brazil, where we tested the efficiency of chemical thinning fast-growing species to increase light availability in the understory of a five-year-old restoration planting. Our goal was to increase the growth rates of desirable timber species in the understory of the restoration site. <br>Moreover, we tested the viability of using hemispherical photography taken with a smartphone to assess light incidence and assist restoration management practices. We calculated the percentage of photosynthetically active radiation (PAR) using a ceptometer in four different thinning intensities and compared them to the smartphone measures using correlation analysis and generalized mixed models. Chemical thinning increased light incidence in the understory Light management through PAR and canopy opening were highly correlated overall, especially after three months of management and above 60% of the basal area thinned. Data demonstrates the potential of chemical thinning as a management practice to enhance light availability in the understory of tropical forest restoration sites and highlights the value of using smartphones and fisheye clips for the indirect assessment of light conditions. </p>
Feral pig (Sus scrofa) disturbance facilitates establishment of resource-acquisitive species in Hawaiian forest understories
<p>In this study, we quantify the effects of leaf traits and dispersal attributes on species responses to pig soil disturbance at two spatial scales – 0.5 m<sup>2</sup> patches embedded along 20 m transects within sites – across a gradient of pig density in a Hawaiian montane wet forest using Bayesian mixed models. </p> <p>Native and non-native species demonstrated divergent responses, with increasing presence and abundance of non-native species in the understory as soil disturbance within patches and sites increased. Dominant patterns in measured traits tracked the leaf economic spectrum (LES), with non-native species tending toward resource-acquisitive traits. Species with resource-acquisitive traits, regardless of identity, were favored with disturbance and responded positively to light availability in disturbed sites. Models showed species primarily dispersed by wind were more prevalent in disturbed patches and sites than those dispersed by endozoochory, while seed mass had no effect.</p>
Dataset for: Climate and shared evolutionary history drive trait variation among species of Neotropical understory monocots
<p>Dataset and p-values form phylogenetically generalized least square models accompanying the manuscript "Climate and shared evolutionary history drive trait variation among species of Neotropical understory monocots".</p>
Data set for "Drought response of the boreal forest carbon sink is driven by understory-tree composition"
<p>This data set is a compilation of 1) environmental conditions, 2) biometric- and chamber-based annual CO<sub>2</sub> fluxes, 3) vegetation phenological greenness, and 4) forest-floor environmental conditions, all measured over the Krycklan Catchment Study (KCS, <a href="https://www.slu.se/Krycklan">https://www.slu.se/Krycklan</a>), a multi-scale long-term monitored boreal catchment spanning 68 km<sup>2</sup> in northern Sweden.</p> <p>The environmental measurements cover the period 1991–2020. Specifically, meteorological conditions measured close to the central part of the KCS at the Svartberget reference climate station (64°14′N, 19°46′E, 225 m.a.s.l.) included air temperature at 1.7 m above ground (Ta, °C), global radiation at 1.7 m above ground (Rg, MJ m<sup>-2</sup>), and precipitation (P, mm). Drought conditions were characterized by the Standardized Precipitation Evapotranspiration Index (SPEI) computed at 3-month time scale. SPEI was retrieved from the 0.5° gridded dataset supplied in the Global SPEI Database (SPEIbase v2.8, <a href="https://spei.csic.es/database.html">https://spei.csic.es/database.html</a>). The data set comprises monthly values obtained during the long-term reference period 1991–2020 (LT<sub>91–20</sub>), the baseline period 2016–2017 (BL<sub>16–17</sub>), and the drought year 2018 (D<sub>18</sub>). The standardized anomaly (ɀ-score) was used to identify extreme environmental measurements during both the BL<sub>16–17 </sub>and D<sub>18</sub> periods relative to the LT<sub>91–20 </sub>period.</p> <p>Annual CO<sub>2</sub> flux estimates were collected in 50 forest stands located across the KCS during the period 2016–2018 using biometric- and chamber-based methods. However, to prevent confounding effects, one forest stand that was subjected to thinning operations in spring 2018 was excluded from the analysis. The selected forest stands encompassed different landscape attributes such as 1) soil type (i.e., sediment and till), 2) dominant tree species (i.e., pine and spruce), and 3) stand age classes (i.e., initiation, young, middle-aged, mature, and old-growth stands). The annual CO<sub>2</sub> fluxes included the net ecosystem production (NEP) and its component fluxes, i.e., net primary production (NPP), total heterotrophic respiration (RH), net primary production of trees (NPP<sub>t</sub>) and its above- and belowground components (ANPP<sub>t</sub> and BNPP<sub>t</sub>, respectively), and net primary production of understory (NPP<sub>u</sub>) and its above- and belowground components (ANPP<sub>u</sub> and BNPP<sub>u</sub>, respectively). The impact of drought on annual CO<sub>2</sub> fluxes was evaluated by calculating both the absolute and relative anomalies (∆X and δX, respectively) of D<sub>18</sub> relative to BL<sub>16–17</sub>. To identify the temporal shift of the dominant contributor to ∆NEP, a moving-window correlation was conducted between the absolute anomaly of NEP (∆NEP) and the absolute anomalies of understory and tree NPP (∆NPP<sub>u</sub> and ∆NPP<sub>t</sub>, respectively), using a 7-forest-stand window with 1-forest-stand step.</p> <p>The study assessed the phenological greenness of the understory and trees in a ⁓110 years-old mixed-species forest stand in the central part of the KCS from 2016 to 2018. The greenness index (gcc) was derived from hourly images collected through digital repeat photography at the Integrated Carbon Observation System (ICOS) Svartberget ecosystem station (SE-Svb, 64°15′N, 19°46′E, 270 m.a.s.l., <a href="https://www.icos-sweden.se/svartberget">https://www.icos-sweden.se/svartberget</a>). Web cameras were used to capture images below- and above-tree canopy to define the gcc index for understory (gcc<sub>u</sub>) and trees (gcc<sub>t</sub>), respectively. The gcc<sub>u</sub> and gcc<sub>t</sub> values were then normalized (0–1) to describe the seasonal minimum and maximum of vegetation biomass development. A locally estimated scatterplot smoothing (loess) curve fit was then used through the normalized data points to improve visualization. The impact of drought on mean estimates of gcc<sub>u</sub> and gcc<sub>t</sub> during the growing season was evaluated by calculating the absolute and relative anomalies (∆X and δX, respectively) of D<sub>18</sub> relative to BL<sub>16–17</sub>.</p> <p>Environmental conditions at the forest-floor interface were measured in each of the 50 forest stands located across the KCS during the period 2016–2018. As before, one forest stand that was subjected to thinning operations in spring 2018 was excluded from the analysis to prevent confounding effects. The measured conditions included the below-canopy air temperature (Ta<sub>bc</sub>, °C), soil temperature at 10 cm depth (Ts, °C), and soil volumetric water content at 5 cm depth (SWC, %). The data set includes mean monthly and mean May-August values estimated during the BL<sub>16–17</sub> and D<sub>18</sub> periods, for which the absolute and relative anomalies (∆X and δX, respectively) were calculated.</p> <p>This data set consists of four Microsoft Excel workbooks:</p> <p>1_dataset_environmental_conditions.xlxs</p> <p>2_dataset_biometric_&_chamber-based_CO2_fluxes.xlxs</p> <p>3_dataset_vegetation_phenological_greenness.xlxs</p> <p>4_dataset_forest-floor_environmental_conditions.xlxs</p> <p>Further details can be found in Martínez-García et al. “Drought response of the boreal forest carbon sink is driven by understory-tree composition” (Nature Geoscience, <a href="https://doi.org/10.1038/s41561-024-01374-9" target="_blank" rel="noopener noreferrer">https://doi.org/10.1038/s41561-024-01374-9</a>).</p> <p>Contact information:</p> <p>Ph.D. Eduardo Martínez García<sup>1,2</sup> (<a href="mailto:eduardo.martinez@slu.se">eduardo.martinez@slu.se</a>, <a href="eduardo.martinezgarcia@luke.fi">eduardo.martinezgarcia@luke.fi</a>, <a href="mailto:edu.martinez.garcia@gmail.com">edu.martinez.garcia@gmail.com</a>)</p> <p>Professor Matthias Peichl<sup>1</sup> (<a href="mailto:matthias.peichl@slu.se">matthias.peichl@slu.se</a>)</p> <p><sup>1</sup> Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden</p> <p><sup>2</sup> Natural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790, Helsinki, Finland</p>
Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability
<p>Datasets used for the analysis done for the paper "Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability".</p> <p>Files present are:</p> <p>-Species x Plot (vegetation releveés).</p> <p>-Plot x Environment.</p> <p>-Plot x CWM_inter for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.</p> <p>-Plot x CWM_intra for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.</p> <p>-Plot x SES-FD_inter (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.</p> <p>-Plot x SES-FD_intra (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.</p> <p>All analysis were carried out using the software R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria, <a href="http://www.R-project.org">http://www.R-project.org</a>) and can be consulted on GitHub https://github.com/AriannaFerrara/Elevation-and-Intraspecific-trait-variability.git</p>
Variation in the location and timing of experimental severing demonstrates that the persistent rhizome serves multiple functions in a clonal forest understory herb
<p>1. In clonal plants, persistent rhizomes can serve multiple purposes, including resource storage, modulation of heterogenous resource distributions, maintenance of bud banks and promotion of recovery from disturbance. Clonal plants are commonly long-lived and, in temperate zones, often exhibit organ preformation. Thus, investigations of how the timing of disturbance to the rhizome affects plant performance must occur over multiple growing seasons, but these types of studies are rare.</p> <p>2. We conducted a field experiment to examine how the persistent rhizome supports the existing shoot, new ramet production, and recovery from damage using mayapple (<i>Podophyllum peltatum</i>; Berberidaceae), a common herbaceous perennial of low-light forest understories in Eastern North America. Mayapple maintains a long-lived rhizome and exhibits a developmentally-programmed seasonal pattern of resource transport and new ramet initiation. We varied both the position and timing of rhizome severing in rhizome systems with terminal sexual or vegetative shoots, and tracked plants for two years following severing.</p> <p>3. The location and timing of severing affected both plant persistence (production of new shoots) and performance (leaf area), with effects differing for new shoots at the front vs. the back of the rhizome system. Across years, severing location and past years' shoot size influenced plant persistence and performance, while the effect of timing of severing diminished; initial sexual status had little effect on rhizome system response that was not accounted for by initial leaf area. Severing generally led to the establishment of two independent rhizome systems. Relative to unmanipulated control systems, these two systems had more total leaf area, but less average leaf area per system.</p> <p>4. Synthesis. Our results point to the rhizome as a resource integrator that affects plant responses to disturbance immediately following damage and in subsequent growing seasons. Rhizome bud age and/or subtending rhizome size, and developmental program influence responses to disturbance. While the effects of experimental disturbance on plant performance decreased two years after disturbance, further long-term investigation is needed to fully understand the demographic consequences of damage to persistent rhizomes. </p>
Tower-based remote sensing data for understory vegetation at Delta Junction, Alaska 2019-2020
<p> Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2020. We provide daily averaged vegetation indices for a mix of understory lichen and moss species in a black spruce dominated forest. We compute near-infrared vegetation index (NIRv), normalized difference vegetation index (NDVI), photochemical reflectance index (PRI), and chlorophyll-carotenoid index (CCI) averaged for three understory targets at NEON Delta Junction. We also provide daily averaged photosynthetically active radiation (PAR) and solar zenith angle (SZA). Finally, we provide the average diurnal profiles of all the aforementioned metrics for 4 20-day windows in winter, spring, summer, and fall. </p>
Piñon and Juniper Tree Removal Increases Available Soil Water, Driving Understory Response in a Sage-Steppe Ecosystem
<p>This posting includes the dataset and accompanying metadata (variable definitions) used for analyses in the paper entitled, 'Pinon and Juniper Tree Removal Increases Available Soil Water, Driving Understory Response in a Sage-Steppe Ecosystem, to be published in Ecosphere, as part of the 'SageSTEP' Special Feature.</p>
Increased water use by sugar maple trees in the presence of a dense beech understory layer
<p>The formation of a recalcitrant understory vegetation layer is a phenomenon observed in various forests around the world, which can limit tree regeneration and in the long term, modify the composition, succession process and water balance of forests. In temperate forests of southern Quebec (Canada), the proliferation of American beech (<em>Fagus grandifolia</em>) in stands dominated by sugar maple (<em>Acer saccharum</em>) can be related to the recalcitrant vegetation phenomenon. With a projected increase in the severity and duration of droughts, a better understanding of its effect on water fluxes is crucial to understand the trajectory of impacted forests. The objective of this study was to understand how recalcitrant-type vegetation, in this case beech proliferation in sugar maple stands, influence tree water use. We compared transpiration i) by overstory trees (i.e. sugar maples) and ii) by understory saplings (i.e. American beech) in sites with and without beech understory dominance. At each of the six sites, we measured sap flux density (F<sub>d</sub>) of two sugar maple trees (diameter at breast height > 9 cm) and one beech sapling (1 cm < diameter at breat height ≤ 9 cm) with thermal dissipation sensors during the growing season. At tree level, F<sub>d</sub> of sugar maple trees was significantly larger in beech-dominated sites compared to control ones, indicating greater water consumption by sugar maple when understory is dominated by beech. At stand scale, total transpiration varied between 140 and 296 mm for the study period, with no significant difference between beech-dominated and control sites. We provide two hypotheses to explain our results at tree scale: i) reduced cover by forest floor vegetation would limit transpiration through this layer, thus allowing increased availability of water resources to supply tree transpiration or ii) increased tree transpiration rate would be a mechanism to satisfy nutrient requirements in beech-dominated stands often associated with lower soil fertility. Further research is needed to better understand the mechanisms explaining tree water use given beech proliferation.</p>
Silvicultural regime shapes understory functional structure in European forests
<p>This is the dataset used for the article "Silvicultural regime shapes understory functional structure in European forests" by Francesco Chianucci, Francesca Napoleone et al., which has been accepted in Journal of Applied Ecology.</p> <p>Attached is also an R code to illustrate the statistical analyses performed in the study.</p>
Understory and canopy phenology, I/Io, solar radiation, and temperature related to Trelease Woods, Urbana, IL, USA from 1995–2022
<p>This study used phenological field observations made year-round for 15 dominant canopy tree species (1995-2022), understory saplings of three species (1995-2022), and 33 herb species (1995-2017) in Trelease Woods, a mature old-growth deciduous forest remnant near Urbana, Illinois, USA. The phenological data sets are paired with basal-area data, mid-day light transmission data from 21 days in 2002, daily solar radiation data from a NOAA (SURFRAD) site at Bondville, Illinois, and daily temperature data from a nearby weather station in Champaign, Illinois. These datasets were used to parameterize models of canopy light transmittance and understory plant light interception.</p> <p>These data sets were used to test the mismatch hypothesis, viz, whether canopy trees or understory plants are more sensitive to climate change, thus changing through time the relative amount of transmitted light understory species intercept. We estimated how four factors (understory phenology, cold temperatures, canopy phenology, and sunlight) individually limit the potential light interception of each understory species.</p>
Data from: Species-soil relationships across Amazonia: niche specificity and consistency in understory ferns
<p>One of the two data files contains occurrence and abundance information for Adiantum and Lindsaea fern species in 1215 sampling units distributed across Amazonia. The other data file contains metadata and soil base cation concentration values. Explanations of the data columns are in the README.txt file.</p>
Soil and understory CO2 respiration, CH4, and N2O fluxes, tree biomass and litter, and soil carbon stock after a long-term N fertilization of a Scots pine forest in Finland
<p>Data of forest soil respiration, soil and undestory respiration, CH4, and N2O fluxes, soil temperature and volumetric water content (Data_Karstula_GHG_temp.swc.csv), continuous soil temperature and moisture data (Data_Karstula_measured_temperature_2021_2023.csv, Data_Karstula_measured_moisture_2021_2023.csv), forest biomass and litter (Data_Karstula_total_biomass_litter.csv, Data_Karstula_measured_litter_2021_2023.csv), and soil C stocks (Data_Karstula_soc.csv) from the boreal Scots pine forest site Karstula after a long-term N fertilization in Finland (62°54'43.343"N; 24°34'16.021"E).</p> <p>The dataset is used for the publication "Tupek et al. : <strong>Lower sensitivity of microbial respiration to soil moisture after long-term N fertilization increases soil carbon retention in a Scots pine forest</strong>. 2024".</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.