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626 results for “Methanation”
Data from: Positron-emitting radiotracers spatially resolve unexpected biogeochemical relationships linked with methane oxidation in Arctic soils
<p><span>Arctic soils are marked by cryoturbic features, which impact soil-atmosphere methane (CH<sub>4</sub>) dynamics vital to global climate regulation. Cryoturbic diapirism alters C/N chemistry within frost boils by introducing soluble organic carbon and nutrients, potentially influencing microbial CH<sub>4</sub> oxidation. CH<sub>4</sub> oxidation in soils, however, requires a spatio-temporal convergence of ecological factors to occur. Spatial delineation of microbial activity with respect to these key microbial and biogeochemical factors at relevant scales is experimentally challenging in inherently complex and heterogeneous natural soil matrices. This work aims to overcome this barrier by spatially linking microbial CH<sub>4 </sub>oxidation with C/N chemistry and metagenomic characteristics. This is achieved by using positron-emitting radiotracers to visualize millimeter-scale active CH<sub>4</sub> uptake areas in Arctic soils with and without diapirism. X-ray absorption spectroscopic speciation of active and inactive areas shows CH<sub>4</sub> uptake spatially associates with greater proportions of inorganic N in diapiric frost boils. Metagenomic analyses reveal <em>Ralstonia pickettii</em> associates with CH<sub>4</sub> uptake across soils along with pertinent CH<sub>4</sub> and inorganic N metabolism associated genes. This study highlights the critical relationship between CH<sub>4</sub> and N cycles in Arctic soils, with potential implications for better understanding future climate. Furthermore, our experimental framework presents a novel, widely applicable strategy for unraveling ecological relationships underlying greenhouse gas dynamics under global change.</span></p>
Graminoids vary in functional traits, carbon dioxide and methane fluxes in a restored peatland: implications for modeling carbon storage
<p>1. One metric of peatland restoration success is the re-establishment of a carbon sink, yet considerable uncertainty remains around the timescale of carbon sink trajectories. Conditions post-restoration may promote the establishment of vascular plants such as graminoids, often at greater density than would be found in undisturbed peatlands, with consequences for carbon storage. Although graminoid species are often considered as a single plant functional type (PFT) in land-atmosphere models, our understanding of functional variation among graminoid species is limited, particularly in a restoration context.</p> <p>2. We used a traits-based approach to evaluate graminoid functional variation and to assess whether different graminoid species should be considered a single PFT or multiple types. We tested hypotheses that greenhouse gas fluxes (CO<sub>2</sub>, CH<sub>4</sub>) would vary due to differences in plant traits among five graminoid species in a restored peatland in central Alberta, Canada. We further hypothesized that species would form two functionally distinct groupings based on taxonomy (grass, sedge).</p> <p>3. Differences in gas fluxes among species were primarily driven by variation in leaf physiology related to photosynthetic efficiency and resource-use, and secondarily by plant size. Multivariate analyses did not reveal distinct functional groupings based on taxonomy or environmental preferences. Rather, we identified functional groups defined by plant traits and carbon fluxes that are consistent with ecological strategies related to differences in growth rate, resource-acquisition, and leaf economics, representing plants with either a strategy to grow quickly and invest in resource capture or to prioritize structural investment and resource conservation. These functional groups displayed larger average carbon fluxes compared to graminoid PFTs currently used in modeling.</p> <p>4. Existing PFT designations in peatland models may be more appropriate for pristine or high-latitude systems than those under restoration. Although replacing PFTs with plant traits remains a challenge in peatlands, traits related to leaf physiology and growth rate strategies offer a promising avenue for future applications.</p>
Species-level termite methane production rates
<p>Termites consume substantial amounts of plant material across tropical and subtropical ecosystems. During the process of lignocellulose digestion, the symbiotic methanogenesis within termites' guts produces the potent greenhouse gas methane (CH4). Termites contribute an estimated 1-5% of global CH4 emissions, with these estimates derived from the product of termite biomass and termite CH4 production rate per unit of termite biomass. However, termite CH4 production rates vary significantly across species, genus, family, and feeding group, yet our understanding of this variation remains poor. Here, we reviewed papers published from 1975 to 2021 to create a single consistently derived list of species-level termite CH4 production rates. We searched Google Scholar using two key words: termite AND methane. We only included studies that had measured termite CH4 production rates using the incubation method. For each eligible study, we extracted and tabulated termite CH4 production rates and other relevant variables (e.g., feeding groups). We used μg CH4 g-1(termite) h-1 as the standardized unit, and if other units were presented, we converted them into this standardized unit. Overall, These data include 134 termite species from 65 genera and 5 families. Termite CH4 production rates ranged from 0 to 25.26 μg CH4 g-1(termite) h-1, with an average rate of 3.74 (standard deviation = 4.08, n = 251). Reported CH4 production rates were largely concentrated in the family Termitidae. Across feeding groups, soil feeders tended to have higher CH4 production rates than wood feeders. However, published data represent fewer than 5% of described termite species, and therefore we hope that our study will initiate a community-wide effort to fill data gaps and advance our understanding of the role of termites in critical biogeochemical cycles and other ecosystem processes.</p>
dataset How does the balance of metal and acid functions on the benchmark Mo/ZSM-5 catalyst drive the Methane dehydroaromatization reaction
<p>dataset How does the balance of metal and acid functions on the benchmark Mo/ZSM-5 catalyst drive the Methane dehydroaromatization reaction</p>
Potential Methane Production and Oxidation Rates and Porewater Chemistry Across Peatland Hummocks and Lawns
<p>This dataset contains potential methane (CH<sub>4</sub>) production and oxidation rates and porewater chemistry (dissolved oxygen, pH, redox potential, dissolved CH<sub>4</sub>, and CH<sub>4</sub> stable isotopes) measurements collected from hummocks and lawns in a poor fen in New Hampshire, USA. Potential CH<sub>4</sub> production and oxidation rates determined via incubations and dissolved oxygen measurements were collected in July 2018. Porewater CH<sub>4</sub> concentration, δ<sup>13</sup>C-CH<sub>4</sub> and δD-CH<sub>3</sub>D, and Eh/pH were collected in July/August 2020. The data file contains a "README" tab with a guide for variable units and descriptions. </p>
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle
<p><span>High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH4) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and microbial production/consumption balance. Holistic studies are mandatory to capture CH4 cycling complexity. Here, we report a large set of integrated microbial and biogeochemical data from 396 samples, using a concerted sampling strategy and experimental protocols. The study followed international standards to ensure inter-comparisons of data amongst three high-latitude regions: Alaska, Siberia and Patagonia. The dataset encompasses different representative environmental features (e.g. lake, wetland, tundra, forest soil) of these high-latitude sites and their respective heterogeneity (e.g. characteristic microtopographic patterns). The data included physicochemical parameters, greenhouse gas concentrations and emissions, organic matter characterization, trace elements and nutrients, isotopes, microbial quantification and composition. This dataset addresses the need for a robust physicochemical framework to conduct and contextualize future research on the interactions between climate change, biogeochemical cycles and microbial communities at high-latitudes.</span></p>
Biochemical methane potential tests amended with graphene oxide and organic micropollutants: Methane production
<p>The spreadsheet comprises measurements of methane production of biochemical methane potential (BMP) assays amended with graphene oxide and organic micropollutants.</p> <p>A total of six sheets are present.</p> <p>“DOE (VS)” contains the design of the experiment with the initial set-up value for the different conditions tested.</p> <p>“Stock solution” where the concentrations of the added contaminants are calculated.</p> <p>“Inoculum-substrate” stores the characterization of the inoculum and the substrate used (i.e., microcrystalline cellulose).</p> <p>“Final_Character” contains the characterization measurements carried out at the end of the experiment.</p> <p>“Data” envelops the periodic (mostly daily) measurements used to calculate methane production via a manometric procedure.</p> <p>“Calculation” has the final calculation reporting the specific methane production (SMP) for the different conditions.</p>
Methane production data for fed-batch assays amended with graphene oxide and two standard substrates
<p>The spreadsheet contains all the data generated using the Automatic Methane Potential Tests System (AMPTS) for fed-batch experiments containing graphene oxide (GO) at 0, 5, 10, and 20 mg of GO per g of volatile solids (VS).</p> <p>Also, the dataset is divided accordingly to the two substrates used, i.e., glucose (G) and microcrystalline cellulose (C).</p>
Dataset of publication: Deposit-feeding of Nonionellina labradorica (foraminifera) from an Arctic methane seep site and possible association with a methanotroph
<p>This file contains all TEM (Transmission Electron Microscopy) images of the foraminifera <em>N. labradorica </em>(foraminifera)<em> </em>used in a feeding experiment for the publication DOI: https://doi.org/10.5194/bg-2021-284</p> <p>Samples were collected at Gas Hydrate Pingo 3 (GHP3), app. 50 km south of Svalbard at 382m water depth at the mouth of Storfjordrenna, Barents Sea. Blade corer (BLC18) used for sampling was taken at following location 76°6'23.7"N 15°58'1.7"E.</p> <p> </p> <p> </p> <p>After sampling a feeding experiment was performed using the marine methanothroph<em> Methyloprofundus sedimenti</em>. More details can be fount in the methods paper. The file contains</p>
In-vitro gas production kinetics and methane emission potential of selected indigenous legume fodder tree and shrubs in the semi-humid condition of the southern Ethiopia
<p>The data is about the gas production production characteristics and methane emission potential of the selected eleven species of indigenous legume fodder tree and shrubs in the semi-humid condition of the southern Ethiopia. </p>
Methane plumes from airborne surveys
<p>Plume_attribution_july2020_aug2021 -> plume list with source IDs, source attribution from July 2020 to Aug 2021</p> <p>Plume_attribution_sep2021_dec2021 -> plume list with source IDs, source attribution from September 2020 to December 2021</p> <p>Plumes_jan2022_may2022 -> plume list with source IDs for Jan-May 2022 </p> <p>Source_List_2019_2021 -> source list with source IDs that match the 2020-2021 data</p> <p>Source_jan2022_may2022 -> source IDs that match the 2022 data</p>
Stem methane emissions and wood methane production
<p>The dataset contains net stem <span class="jlqj4b">CH<sub>4</sub></span> emissions measured <em>in situ</em> <span class="q4iawc"><span>during the snow-free period and </span></span>potential CH<sub>4</sub> production in wood core segments incubated under anoxic conditions. The study was conducted in 2020 and 2021 on five tree species in the Ashiu Experimental Forest of Kyoto University. The study site is located in the upper Yura River watershed around Chojidani (35.34 N, 135.76 E) at an altitude of 630–660 m. Individuals<span class="q4iawc"><span> of different sizes were studied at different heights along their stems.</span></span></p>
Dissolved methane in the Chukchi Sea during 2017-2020
<p>Methane (CH<sub>4</sub>) is one of the important greenhouse gases. CH<sub>4</sub> dry mole fractions in the atmosphere have increased continuously since the onset of the industrial revolution, contributing to more than 20% of the anthropogenic radiative forcing in the lower atmosphere since 1750. In addition, the ice-covered parts of the Arctic are now known to be a reservoir of organic carbon, suggesting that the coastal areas in the Arctic may be a neglected but essential component of the global CH<sub>4</sub> budget.</p> <p>Seawater samples for CH<sub>4</sub> analysis were collected onboard R/V “Xuelong 1”, “Xuelong 2”, and “Xiangyanghong 3” during the 8-11th Chinese Arctic Research Expedition (CHINARE) to the Chukchi Sea during 2017-2020.</p> <p>1. Equipment:</p> <ul> <li>Name gas chromatography</li> <li>Model: Agilent 7890A</li> <li>Method: purge-and-trap</li> <li>Calibration: CH<sub>4</sub>:N<sub>2</sub> mixtures, China Institute of Metrology</li> </ul> <p>2 Sampling and analysis</p> <p>The samples were collected with a rosette water sampler equipped with Niskin bottles. Briefly, seawater was transferred to biochemical-oxygen-demand bottles (one for each depth), which were stored in the dark at 4 °C after adding 180 μL of saturated HgCl<sub>2</sub>.</p> <p>3 Location</p> <p>The Chukchi Sea.</p>
Kinematic viscosity of gas phase methane at different temperatures and pressures
<p><strong>Kinematic viscosity of gas phase methane at different temperatures and pressures</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>For some applications the kinematic viscosity is more useful than the absolute, or dynamic, viscosity. Kinematic viscosity is the absolute viscosity of a fluid divided by its mass density. (Mass density is the mass of a substance divided by its volume.) The dimensions of kinematic viscosity are area divided by time; the appropriate units are metre squared per second. The unit of kinematic viscosity in the centimetre-gram-second system, called the stokes in Britain and the stoke in the U.S., is named for the British physicist Sir George Gabriel Stokes. The stoke is defined as one centimetre squared per second.</p> <p>Temperature (degrees kelvin), Temperature (degrees Celsius), Temperature (degrees Fahrenheit), Pressure (bars), Pressure (pound-force per square inch), Kinematic viscosity (centistokes)</p> <p>90.694 -182.46 -296.42 0.1170 1.696 14.51</p> <p>100 -173 -280 0.3438 4.986 5.926</p> <p>110 -163 -262 0.8813 12.78 2.751</p> <p>120 -153 -244 1.914 27.76 1.475</p> <p>130 -143 -226 3.673 53.28 0.8782</p> <p>140 -133 -208 6.412 93.00 0.5640</p> <p>150 -123 -190 10.40 150.8 0.3830</p> <p>160 -113 -172 15.92 230.9 0.2706</p> <p>170 -103 -154 23.28 337.7 0.1963</p> <p>180 -93.2 -136 32.85 476.5 0.1438</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Absolute viscosity of liquid phase methane at different temperatures and pressures
<p><strong>Absolute viscosity of liquid phase methane at different temperatures and pressures</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Methane, is a colourless, odourless gas that occurs abundantly in nature. Methane is the simplest member of the paraffin series of hydrocarbons and is among the most potent of the greenhouse gases. Methane is lighter than air, having a specific gravity of 0.554. It is only slightly soluble in water. It burns readily in air, forming carbon dioxide and water vapour; the flame is pale, slightly luminous, and very hot. Methane in general is very stable, but mixtures of methane and air, with the methane content between 5 and 14 percent by volume, are explosive. Explosions of such mixtures have been frequent in coal mines and collieries and have been the cause of many mine disasters. Methane is an important source of hydrogen and some organic chemicals.</p> <p>Temperature (degrees kelvin), Temperature (degrees Celsius), Temperature (degrees Fahrenheit), Pressure (bars), Pressure (pound-force per square inch), Absolute viscosity (micro-pascals-seconds), Absolute viscosity (centipoises)</p> <p>90.694 -182.46 -296.42 0.1170 1.696 204.5 0.2045</p> <p>100 -173 -280 0.3438 4.986 155.8 0.1558</p> <p>110 -163 -262 0.8813 12.78 121.3 0.1213</p> <p>120 -153 -244 1.914 27.76 97.43 0.09743</p> <p>130 -143 -226 3.673 53.28 79.87 0.07987</p> <p>140 -133 -208 6.412 93.00 66.33 0.06633</p> <p>150 -123 -190 10.40 150.8 55.44 0.05544</p> <p>160 -113 -172 15.92 230.9 46.27 0.04627</p> <p>170 -103 -154 23.28 337.7 38.12 0.03812</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Absolute viscosity of gas phase methane at different temperatures and pressures
<p><strong>Absolute viscosity of gas phase methane at different temperatures and pressures</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Methane reacts with steam at high temperatures to yield carbon monoxide and hydrogen; the latter is used in the manufacture of ammonia for fertilizers and explosives. Other valuable chemicals derived from methane include methanol, chloroform, carbon tetrachloride, and nitromethane. The incomplete combustion of methane yields carbon black, which is widely used as a reinforcing agent in rubber used for automobile tires.</p> <p>Temperature (degrees kelvin), Temperature (degrees Celsius), Temperature (degrees Fahrenheit), Pressure (bars), Pressure (pound-force per square inch), Absolute viscosity (micro-pascals-seconds), Absolute viscosity (centipoises)</p> <p>90.694 -182.46 -296.42 0.1170 1.696 3.639 0.00364</p> <p>100 -173 -280 0.3438 4.986 3.998 0.00400</p> <p>110 -163 -262 0.8813 12.78 4.396 0.00440</p> <p>120 -153 -244 1.914 27.76 4.812 0.00481</p> <p>130 -143 -226 3.673 53.28 5.252 0.00525</p> <p>140 -133 -208 6.412 93.00 5.725 0.00573</p> <p>150 -123 -190 10.40 150.8 6.253 0.00625</p> <p>160 -113 -172 15.92 230.9 6.869 0.00687</p> <p>170 -103 -154 23.28 337.7 7.652 0.00765</p> <p>180 -93.2 -136 32.85 476.5 8.825 0.00883</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
How much methane removal is required to avoid overshooting 1.5°C?
<p>This repository reproduces the results from Smith & Mathison, submitted. Code is available from GitHub at <a href="https://github.com/chrisroadmap/methane-mitigation">https://github.com/chrisroadmap/methane-mitigation</a>. The Zenodo version includes the <code>results</code> directory, which are datasets that are too large for GitHub.</p> <h2>Reproduction steps</h2> <h3>Set up conda repository</h3> <p>This assumes that you are using <code>anaconda</code> and <code>python</code>. Currently, <code>fair</code> and <code>fair-calibrate</code> appear to be most stable with <code>python</code> versions 3.8, 3.9, 3.10 and 3.11. Others may work, but these ones are tested.</p> <p>1. Create your environment:</p> <p><code>$ conda env create -f environment.yml</code><br><br>2. If you want to make nice version-control friendly notebooks, which will remove all output and data upon committing, run</p> <p><code>$ nbstripout --install</code></p> <h3>Run and reproduce results</h3> <p>1. Fire up jupyter notebook</p> <p><code>$ jupyter notebook</code></p> <p>2. Inside <code>notebook</code>, navigate to <code>notebooks</code> directory. Run the notebooks in this order:<br> - <code>adaptive-removal-1.4.0.ipynb</code>: this does the data crunching. It will likely take between 6 and 24 hours, depending on your machine.<br> - <code>zec-1.4.0.ipynb</code>: calculate ZEC and carbon cycle metrics<br> - <code>analyse-1.4.0.ipynb</code>: produce the results and plots reported in the paper</p> <p>3. As a sensitivity case we run 10 MtCH4 removal steps (default 20); the results are almost identical but runtime is slower. These are in the files <code>adaptive-removal-1.4.0-10Mt.ipynb</code> and <code>analyse-1.4.0-10Mt.ipynb</code>.</p>
Emission Scenarios used for: Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020
<p>CH<sub>4</sub> emission scenarios, based on bottom-up emission estimates (Chandra et al., CEE, 2024; Fig 2) for simulating the long-term trends and latitudinal gradients of CH<sub>4</sub> and <em>δ</em><sup>13</sup>C-CH<sub>4</sub>. The details can be found at </p> <p>Chandra, N., Patra, P.K., Fujita, R. <em>et al.</em> Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020. <em>Commun Earth Environ</em> <strong>5</strong>, 147 (2024). https://doi.org/10.1038/s43247-024-01286-x</p>
A temporally consistent spatial gradient in methane ebullition from a eutrophic lake
<p>CH4 ebullition rates from lake Alstasjö (<a href="../api/records/11205773/draft/files/CH4Ebullition.xlsx/content" target="_blank" rel="noopener noreferrer">CH4Ebullition.xlsx</a>)</p> <p>CH4 ebullition rates from lake Alstasjö related to sediment temperature (<a href="../api/records/11205773/draft/files/CH4_Ebullition_Site_SedT.csv/content" target="_blank" rel="noopener noreferrer">CH4_Ebullition_Site_SedT.csv</a>)</p> <p>CH4 and gas ebullition rates and sedment characteristics (<a href="../api/records/11205773/draft/files/CH4_GS_update5.csv/content" target="_blank" rel="noopener noreferrer">CH4_GS_update5.csv</a>)</p> <p>Supplementary information <a href="../api/records/11205773/draft/files/SupportingInfo.pdf/content" target="_blank" rel="noopener noreferrer">SupportingInfo.pdf</a> </p> <p>Oxygen levels at lake Alstasjö between 2020-2021 (<a href="../api/records/11205773/draft/files/O2_Alsta_DailyMean.csv/content" target="_blank" rel="noopener noreferrer">O2_Alsta_DailyMean.csv</a>)</p> <p>Sediment dating from sediment cores collected at Alstasjö near bubble traps (<a href="../api/records/11205773/draft/files/CH4_SedimentDating.csv/content" target="_blank" rel="noopener noreferrer">CH4_SedimentDating.csv</a> and </p> <p><a href="../api/records/11205773/draft/files/CH4_SedimentDating_Cs.csv/content" target="_blank" rel="noopener noreferrer">CH4_SedimentDating_Cs.csv</a>)</p> <p>Results of lake Alstasjö thermal dynamics using lake analyzer (<a href="../api/records/11205773/draft/files/results_rLakeAnalyzer_Alsta.csv/content" target="_blank" rel="noopener noreferrer">results_rLakeAnalyzer_Alsta.csv</a>)</p> <p>Water level and discharge from Alstasjö (<a href="../api/records/11205773/draft/files/WaterLevelvsDischarge.xlsx/content" target="_blank" rel="noopener noreferrer">WaterLevelvsDischarge.xlsx</a>)</p>
Combined data file for Jokinen et al. "Depth and intensity of the sulfate-methane transition zone control sedimentary molybdenum and uranium sequestration in a eutrophic low-salinity setting", Applied Geochemistry 122, 2020
<p>The datafile contains all the new raw data presented in the figures in the publication.</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.