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40 results for “respiration rates”
Soil respiration rates, biogeochemical pools, and mineral-associated organic matter from high organic matter and high mineral content coastal wetland soils in Apalachicola, Florida, 2022
This data set was used to observe how the application of dredged sediment would impact soil respirations rates, biogeochemical pools, mineral associated organic matter of coastal wetland soils from Apalachicola, Florida. To achieve this, a combination of intact core and bottle incubations were used, comparing a high organic matter coastal wetland soil to a high mineral content wetland soil which were collected in June, 2022. All laboratory analysis was conducted at the University of Central Florida in Orlando, Florida.
Light-saturated photosynthetic rate, dark respiration, stomatal conductance and ratio of internal to external carbon dioxide concentration from the 1980-82 Eriophorum vaginatum reciprocal transplant plots from Eagle Creek to Prudhoe Bay, Alaska, 2010
In 1980-1982, six transplant gardens were established along a latitudinal gradient in interior Alaska from Eagle Creek, AK, in the south to Prudhoe Bay, AK, in the north (Shaver et al. 1986) .Three sites, Toolik Lake (TL), Sagwon (SAG), and Prudhoe Bay (PB) are north of the continental divide and the remaining three, Eagle Creek (EC), No Name Creek (NN), and Coldfoot (CF), are south of the continental divide. Each garden consisted of 10 individual tussocks transplanted back to their home-site, as well as 10 individuals from each of the other transplant sites. Data were collected in July 2010 for tussocks transplanted in 1980-82 in a reciprocal transplant experiment and then harvested in 2011. Important variables are garden name, source population, light-saturated photosynthetic rate, dark respiration, stomatal conductance and ratio of internal to external carbon dioxide concentration.
Periphyton Net Primary Productivity and Respiration Rates from the Taylor Slough, just outside Everglades National Park (FCE), South Florida from December 1998 to December 2004
Periphyton metabolism is being measured at TS/Ph1b, TS/Ph2, TS/Ph3, TS/Ph4, and TS/Ph5 every 6-8 weeks during the wet season. We quantify metabolic rates of periphyton assemblages using standard oxygen change techniques in 300mL light and dark BOD bottles in triplicate. Using YSI dissolved oxygen probes and meters, we measure dissolved oxygen change as the difference of initial and final oxygen concentrations during a two hour incubation period. We calculate net primary productivity and respiration rates in units of oxygen and carbon, then normalize to the organic content (ash free dry weight) of the incubated periphyton.
Periphyton Net Primary Productivity and Respiration Rates from the Taylor Slough, just outside Everglades National Park, South Florida (FCE) from December 1998 to August 2002
Once per year, at TS/Ph-4 and TS/Ph-5 we incubate periphyton from each site in water from each site in a complete factorial design. We quantify metabolic rates of periphyton assemblages using standard oxygen change techniques in 300mL light and dark BOD bottles in triplicate. Using YSI dissolved oxygen probes and meters, we measure dissolved oxygen change as the difference of initial and final oxygen concentrations over a two hour incubation. We calculate net primary productivity and respiration rates in units of oxygen and carbon, then normalize to the organic content (ash free dry weight) of the incubated periphyton.
SBC LTER: Beach: CO₂ flux, wrack subsidies, invertebrate community, and consumer respiration rates for Channel Islands sandy beaches
These data result from surveys of 14 sandy beach sites on four of California’s Channel Islands from 2016 to 2018. We quantified marine macrophyte wrack subsidies, macroinvertebrates, beach physical parameters, and sediment CO2 flux at each site in order to elucidate the role of marine wrack subsidies and wrack consumers on sandy beach sediment CO2 flux. We also measured the respiration rates of the six most common wrack consumer species in the laboratory. Data are contained in two tables: 1) Mean wrack cover, invertebrate community composition (species richness, abundance, and biomass), beach physical parameters, and sediment CO2 flux, and 2) respiration rates and biomass of each replicate individual for each of the six species.
PsPM-PCF2: PSR, SCR, ECG, respiration and startle-eyeblink EMG measurements in a delay fear conditioning task with 4 CS and different reinforcement rates
<p>This dataset includes eyetracker, skin conductance response (SCR), electrocardiogram (ECG), respiration, electromyogram (EMG), and auditory startle output (snd, as delivered by sound card) measurements. Also included are CS and US information, keypress responses and keypress response times for 19 healthy unmedicated participants (5 males and 14 females aged 24.68 +/- 3.65 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS were 4 coloured rectangles. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 500 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. In the last learning block, an auditory startle probe (ST) and no US was delivered 3.5 s after CS onset via headphones (100 dB, 50 ms duration with 2ms on- and offset ramp). The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
Fig. 1 in Cadmium (Cd) affects the gill structure and respiration rate of Common Carp (Cyprinus carpio L.)
Fig. 1. Histological alteration in common carp gills (H&E) after Cd exposure. A - normal gill histological structure, x200; B - lamellar lifting (), proliferation of filamentous epithelium (), fusion of secondary lamellae (), x400; C - proliferation of filamentous () and secondary lamellae epithelium (), x400; D - degenerative changes, x400; E - vasodilatation in blood vessels of secondary lamellae () and gill filament (), x400; F - vasodilatation in gill filament blood vessels, x400.
Single nematode respiration rates
<p>Single nematode respiration rates measured using a method presented in <em>Methods in Ecology and Evolution</em> article, archived in Zenodo, and therefore associated with a digital object identifier.</p> <p> </p>
McMurdo Dry Valleys Community Respiration Rates : Quantifying the Activity of the Electron Transport System (ETS)
An important part of the McMurdo Long Term Ecological Research (LTER) is monitoring of spatial and temporal patterns, and processes that control net primary production (carbon dynamics) in perennial ice-covered lakes. One of the primary losses of carbon fixed by phytoplankton is through respiration, directly by the phytoplankton themselves and secondarily through the metabolic contributions of heterotrophic organisms such as bacterioplankton and protozoa. The coupling of low metabolic activity and supersaturated gases in the water column prohibits a direct measurement of respiration. Therefore, we measure the respiratory electron transport system (ETS) activity which drives oxidative phosphorylation, and hence oxygen consumption in all aerobic organisms (Packard 1985). This data set addresses this core area of research and estimates a community-wide respiration rate at specific depths in McMurdo Dry Valley lakes (Hoare, Fryxell and Bonney).
Data from: Additive effects of pCO2 and temperature on respiration rates of the Antarctic pteropod Limacina helicina antarctica
The Antarctic pteropod, Limacina helicina antarctica, is a dominant member of the zooplankton in the Ross Sea and supports the vast diversity of marine megafauna that designates this region as an internationally protected area. Here, we observed the response of respiration rate to abiotic stressors associated with global change – environmentally relevant temperature (-0.8˚C, 4˚C) and pH treatments reflecting current-day and future modeled extremes. Sampling repeatedly over a 14-day period in laboratory experiments and using microplate respirometry techniques, we found that the metabolic rate of juvenile pteropods increased in response to high pCO2 exposure (920 µatm) at -0.8˚C, a near-ambient temperature. Similarly, metabolic rate increased when pteropods were exposed simultaneously to multiple stressors, elevated pCO2 conditions (960 µatm) and a high temperature (+4˚C). Overall, the results showed that pCO2 and temperature interact additively to affect metabolic rates in pteropods. Furthermore, we found that L. h. antarctica can tolerate acute exposure to temperatures far beyond its maximal habitat temperature. Overall, L. h. antarctica appears to be susceptible to pH and temperature stress, two abiotic stressors which are expected to be especially deleterious for ectothermic marine metazoans in polar seas.
Data for: Non-invasive measurements of respiration and heart rate across wildlife species using Eulerian Video Magnification of infrared thermal imagery
<p><strong>Background</strong>: An animal's metabolic rate, or energetic expenditure, both impacts and is impacted by interactions with its environment. However, techniques for obtaining measurements of metabolic rate are invasive, logistically difficult, and costly. Red-green-blue (RGB) imaging tools have been used in humans and select domestic mammals to accurately measure heart and respiration rate, as proxies of metabolic rate. The purpose of this study was to investigate if infrared thermography (IRT) coupled with Eulerian video magnification (EVM) would extend the applicability of imaging tools towards measuring vital rates in exotic wildlife species with different physical attributes.</p> <p><strong>Results</strong>: We collected IRT and RGB video of 52 total species (39 mammalian, 7 avian, 6 reptilian) from 36 taxonomic families at zoological institutions and used EVM to amplify subtle changes in temperature associated with blood flow for respiration and heart rate measurements. IRT-derived respiration and heart rates were compared to 'true' measurements determined simultaneously by expansion of the ribcage/nostrils and stethoscope readings, respectively. Sufficient temporal signals were extracted for measures of respiration rate in 36 species (85% success in mammals; 50% success in birds; 100% success in reptiles) and heart rate in 24 species (67% success in mammals; 33% success in birds; 0% success in reptiles) using IRT-EVM. Infrared-derived measurements were obtained with high accuracy (respiration rate, mean absolute error: 1.9 breaths per minute, average percent error: 4.4%; heart rate, mean absolute error: 2.6 beats per minute, average percent error: 1.3%). Thick integument and animal movement most significantly hindered successful validation.</p> <p><strong>Conclusion</strong>: The combination of IRT with EVM analysis provides a non-invasive method to assess individual animal health in zoos, with great potential to monitor wildlife metabolic indices in situ.</p>
Data from: Additive effects of pCO2 and temperature on respiration rates of the Antarctic pteropod Limacina helicina antarctica
Open the record for dataset details and reuse information.
Data for: Non-invasive measurements of respiration and heart rate across wildlife species using Eulerian Video Magnification of infrared thermal imagery
Open the record for dataset details and reuse information.
SGS-LTER Graduate Student Research: Soil Respiration Rates as Biochemical Responses of US Great Plains Grasslands to Regional and Interannual Variability in Precipitation (1999-2001)
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/85531. Carbon (C) sequestration potential in grasslands is thought to be high due to the large soil organic carbon pools characteristic of these ecosystems. Inputs of C (aboveground net primary productivity) are highly correlated to precipitation across the Great Plains region; however, changes in C pool size at a specific site are governed by the relative input and output rates across time. Our objective was to quantify the ecosystem C response of three grassland community types (shortgrass steppe, mixed grass and tallgrass prairie) to interannual variation in precipitation. At five sites across a precipitation gradient in the Great Plains, we measured net primary production (NPP), soil respiration (SRESP), and litter decomposition rates for three consecutive years. NPP, SRESP, and litter decomposition increased from shortgrass steppe (175, 454, and 47 g C m-2 yr-1) to tallgrass prairie (408, 1221, and 348 g C m-2 yr-1 for NPP, SRESP, and litter decomposition respectively). Increased growing season precipitation between study years resulted in increased NPP, SRESP, and litter decomposition at almost all sites. However, the regional patterns of the interannual NPP, SRESP, and lit
Respiration rate measurements for antipatharians (black corals; Stichopathes gracilis and Antipathella wollastoni) from the Canary Islands Archipelago.
<p>Row data for respiration rate measurements used in the manuscript entitled "Higher daily temperature range at depth is linked with higher thermotolerance in Antipatharians from the Canary Islands". </p> <p>Ramp experiments were performed with coral fragments from the three populations (<em>Antipathella wollastoni </em>from 25 m and 40 m and <em>Stichopathes gracilis</em> from 80 m). Each ramp was divided in two legs, respectively called 'hot ramp' and 'cold ramp', both starting at the acclimation temperature. Here, we define 'ramp experiment', as the progressive increase/decrease (hot/cold ramp) by gradual steps of temperature. The minimum temperature tested corresponded to the lower seasonal temperature experienced by the organism in its environment. The maximum temperature tested was the highest seasonal temperature experienced by the organism in its environment +3°C. Each time, one fragment of a colony was used for the hot ramp and the second fragment, from the same colony, was used for the cold ramp. This allowed every fragment to be used only in a single ramp (and not reused), as well as to have paired replicates (fragments from the same colony) between hot and cold ramps.</p> <p>Each ramp proceeded identically for specimens from the three populations. Seven fragments from different colonies were moved from their acclimation tank to one of the eight respirometry chambers held in the experimental tank. They were first left to acclimate for 1 hour in darkness and then the chambers were closed, and oxygen consumption was measured for 40 min in darkness, starting at the acclimation temperature. After this period of stable temperature, the chambers were opened in the experimental tank (allowing water exchange between the water in the chambers and in the experimental tank) and temperature was increased/decreased for 30 min to the next step of temperature. Once reached, the fragments were left 30 more min in their open chambers to acclimate to the new temperature, before starting a new 40 min measurement period (with closed chambers). Oxygen saturation in the chambers was always above 80%. This procedure was repeated for each step of temperature. At the end of the last respiration rate measurement, chambers were opened, temperature was decreased back to the acclimation temperature and new measurements of respiration rate were taken after 2.5 hours and 12 hours, to evaluate whether the fragments were able to recover from the heat stress (recovery capacity). The recovery capacity was only assessed at the end of the hot ramp (not at the end of the cold ramp). During all ramps, one chamber was left free from any fragment (blank/control chamber) to account for background respiration (i.e., part of the respiration attributed to seawater microbes and/or instrument drift).</p> <p>Respiration rates were calculated by measuring the oxygen consumption (expressed in oxygen saturation) of the fragments through time, for the eight respirometry chambers simultaneously. One measure was recorded every 5 s on each chamber using fibre-optic oxygen sensors connected to two 4-channel Fibre Optic Oxygen Transmitter (OXY-4 SMA G2 and OXY-4 SMA G3, Pre-Sens Precision Sensing GmbH, Germany). The volume and shape of the chambers changed based on the morphology of the species: fragments of <em>A. wollastoni </em>(bushy) were placed in 400 mL cylindrical plastic chambers and fragments of <em>S. gracilis</em> (unbranched, long and thin corallum) in 50 mL Falcon tubes. A new oxygen sensor spot (PreSens SP-PSt3-NAU-D5-YOP-SA) was glued in every chamber and calibrated according to the supplier’s manual. A magnetic stir bar, separated from the fragment by a mesh, allowed to maintain constant homogenization of the dissolved gas in the chambers.</p>
Reassure Device: Measurement Accuracy of Continuous Respiration Rate
ClinicalTrials.gov study NCT02740478. IPD Sharing: NO. Countries: 0. Publications: 1.
Reassure Spot Respiration Rate Accuracy Compared to SOMNOScreen
ClinicalTrials.gov study NCT02740504. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: A comprehensive study of respiration rates in dairy cattle
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Soil microbial respiration rate:Dimensions of Biodiversity - Genetic, Phylogenetic, Functional, and Remotely Sensed Diversity
Novel remote sensing methods for monitoring the Earth's biodiversity will be applied to experimental manipulations of plant diversity - allowing scientists to examine the linkages between plant biodiversity, soil microbe diversity and ecosystem function at multiple scales of spatial resolution. Specifically, we propose to link remotely sensed optical diversity to plant functional, phylogenetic and genotypic diversity aboveground and to net primary production (NPP), and soil properties and microbial processes belowground, as a basis for predicting ecosystem processes with remote sensing. Our central hypothesis is that i) biodiversity (genotypic, functional and phylogenetic diversity) at one trophic level (plants) drives genetic and functional diversity in other trophic levels (soil microbes) with consequences for ecosystem function and ii) that such diversity can be detected remotely at multiple scales of spatial resolution. We propose to test this hypotheses within the long-term prairie biodiversity experiment (e120 Big Bio), the newly established Forest and Biodiversity (e271 FAB 1) experiment, and the Biodiversity of Willows and Poplars (e277 BiWaP) experiment. We will measure optical properties of these plots at the leaf level, 1 m above the plant canopy and from aircraft. Leaf level sampling and percent cover estimates will be non-destructive. Biomass sampling in Big Bio will follow standard protocol for the long-term experiment. Biomass estimates in FAB and BiWaP will use non-destructive methods. Below ground sampling in BigBio will be taken within the clip strip for biomass harvest. The proposed research involves researchers at the University of Minnesota, the University of Alberta, the University of Nebraska Lincoln, the University of Wisconsin, and Appalachian State University.
Investigating the relationship between tree stem respiration and growth rate
<b>Description: </b><p>This study was conducted at the Maliau Basin Conservation area (4.747°, 116.970°) in an old-growth forest, the Belian plot. The sample consisted of ten trees of variety of species and a range of growth rates. Sampling took place over 3 consecutive days (18/02/2020 - 20/02/2020) to compile a 24-hour cycle due to logistical constrains impeding continuous measurement. Stem Respiration was measured hourly using a closed chamber EGM-4 Infrared Gas Analyser. Each tree has a 5cm long PVC collar with a 10.6cm internal diameter sealed with glue at 1.1m height. For each measurement, the chamber was flushed and collar fanned to remove stagnant air. The chamber was then sealed onto the PVC collar and Rs measured for 120 seconds. The raw measurements provides CO2 concentration (ppm), the results were then downloaded and filtered to remove initial stabilisation period and outliers using the R package "egm_r_tools" (see https://github.com/davidorme/egm_r_tools), with the ideal measurement being a linear slope with minimal residuals. The filtered efflux slope for each tree was then scaled to hourly and summed to give a daily total per tree. Out of the 24-hour period, two hour slots were missing (14:00 and 04:00) due to logistical constraints .</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/152"><b>MRes Tropical Forest Ecology Field Course</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=3952832">here</a></p><p><b>Files: </b>This consists of 1 file: Stem_Resp_TFE2020.xlsx</p><p><b>Stem_Resp_TFE2020.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Respiration_data_corrected</b> (described in worksheet Respiration_data_corrected)</p><p>Description: 24 hour observations of CO2 flux patterns corrected using egm-r-tools R package</p><p>Number of fields: 7</p><p>Number of data rows: 240</p><p>Fields: </p><ul><li><b>date</b>: Calendar date (Field type: date)</li><li><b>hour</b>: Hour in which the measurement was taken and represents (Field type: time)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>corrected_flux</b>: EGM corrected flux using egm_r_tools R package (Field type: numeric)</li><li><b>subplot</b>: Subplot number within Belian Plot (Field type: id)</li><li><b>Subplot_code</b>: Subplot (Field type: location)</li><li><b>EGM_unit</b>: Number of EGM unit used (Field type: id)</li></ul></li><li><p><b>Respiration_data_uncorrected</b> (described in worksheet Respiration_data_uncorrected)</p><p>Description: Raw uncorrected 24 hour observations of CO2 flux patterns from EGM machine</p><p>Number of fields: 5</p><p>Number of data rows: 219</p><p>Fields: </p><ul><li><b>date</b>: Calendar date (Field type: date)</li><li><b>Time</b>: time respiration measurement was taken (Field type: time)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>EGM_Record_No</b>: file number of measurement taken on EGM (Field type: numeric)</li><li><b>CO2_Concentration</b>: Measured CO2 (Field type: numeric)</li></ul></li><li><p><b>Tree_data</b> (described in worksheet Tree_data)</p><p>Description: Description of tree information for sampled trees</p><p>Number of fields: 10</p><p>Number of data rows: 10</p><p>Fields: </p><ul><li><b>Plot</b>: SAFE Project plot code (Field type: location)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>Species</b>: Species of tree (Field type: taxa)</li><li><b>WoodDensity</b>: Estimated wood density of tree (Field type: numeric)</li><li><b>Census_date1</b>: Calendar date of most recent census (Field type: date)</li><li><b>D.POM_cm1</b>: Diamater of tree at measurement point at census 1 (Field type: numeric)</li><li><b>Height_m</b>: Height of tree (Field type: numeric)</li><li><b>H.POM_m</b>: Height at which tree diameter is measured (Field type: numeric)</li><li><b>Census_date2</b>: Calendar date of previous census (Field type: date)</li><li><b>D.POM_cm2</b>: Diamater of tree at measurement point at census 2 (Field type: numeric)</li></ul></li><li><p><b>Hourly_data</b> (described in worksheet Hourly_data)</p><p>Description: Hourly records of temperature and weather observations during the study</p><p>Number of fields: 4</p><p>Number of data rows: 24</p><p>Fields: </p><ul><li><b>Date</b>: Calendar date (Field type: date)</li><li><b>Hour</b>: Hour of which measurments were taken (Field type: time)</li><li><b>Temperature (DegC)</b>: Air temperature (Field type: numeric)</li><li><b>Weather_Observations</b>: weather observations (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2018-08-21 to 2020-02-20</p><p><b>Latitudinal extent: </b>4.7467 to 4.7480</p><p><b>Longitudinal extent: </b>116.9693 to 116.9706</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> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Ericales <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  -  -  -  <i>Diospyros pilosanthera</i> <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Payena</i> <br> -  -  -  -  -  -  -  <i>Payena microphylla</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Eusideroxylon</i> <br> -  -  -  -  -  -  -  <i>Eusideroxylon zwageri</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Dryobalanops</i> <br> -  -  -  -  -  -  -  <i>Dryobalanops lanceolata</i> <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  -  <i>Shorea faguetiana</i> <br> -  -  -  -  Magnoliales <br> -  -  -  -  -  Annonaceae <br> -  -  -  -  -  -  <i>Maasia</i> <br> -  -  -  -  -  -  -  <i>Maasia sumatrana</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Meliaceae <br> -  -  -  -  -  -  <i>Aglaia</i> <br> -  -  -  -  -  -  -  <i>Aglaia odoratissima</i> <br> -  -  -  -  -  -  -  <i>Aglaia silvestris</i> <br></div><p></p>
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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.