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6 results for “radiolysis”

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zenodo40/100

Data release accompanying JGR publication "Electron-induced radiolysis of water ice and the buildup of oxygen" by Tinner et al.

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opencc-by-4.0Mar 2024View details →
dryad36/100

Alpha: A Fortran program for simulating porewater radiolysis

<p>The radiolysis of porewaters by uranium, thorium, and potassium in mineral grains is a recognised source of molecular hydrogen in rock- and sediment-hosted fluids. This radiolytic hydrogen is of geomicrobiological interest as a potential energy source (electron donor) for microbial metabolism, especially in energy-limited settings such as the marine deep biosphere or the subsurface of Mars. Previous efforts to predict the production of radiolytic hydrogen from columns of rock and sediment have tended to rely upon analytic models that cannot account for the attenuation of mineral radiation by grains larger than ~30 microns. To address this, we have developed a Monte Carlo method to simulate the physics of mineral radiation and evaluate the production of H<sub>2</sub> as a function of mineral grain size and radioisotope composition. The results confirm that grain size is a major control on radiolytic H<sub>2</sub> yield. For example, using the standard geological classification of grain sizes, we find that clay can produce up to an order of magnitude more H<sub>2</sub> per unit time than sand. The magnitude of this effect is illustrated using compositional data from real geological units in order to demonstrate the dependence of radiolytic hydrogen flux on natural radionuclide concentration and bulk porosity.</p>

opencc-zeroMay 2022View details →
zenodo36/100

Data for Observation of the fastest chemical processes in the radiolysis of water

<p>These are the data underlying the figures in the manuscript entitled &quot;Observation of the fastest chemical processes in the radiolysis of water&quot;.&nbsp;</p>

opencc-by-4.0Nov 2019View details →
dryad36/100

Alpha: A Fortran program for simulating porewater radiolysis

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publicMay 2022View details →
dryad32/100

Figure data and analysis for: The effect of grain size on porewater radiolysis

<p>The radiolysis of porewaters by uranium, thorium, and potassium in mineral grains is a recognised source of molecular hydrogen in rock- and sediment-hosted fluids. This radiolytic hydrogen is of geomicrobiological interest as a potential energy source (electron donor) for microbial metabolism, especially in energy-limited settings such as the marine deep biosphere or the subsurface of Mars. Previous efforts to predict the production of radiolytic hydrogen from columns of rock and sediment have tended to rely upon analytic models that cannot account for the attenuation of mineral radiation by grains larger than ~30 microns. To address this, we have developed a Monte Carlo method to simulate the physics of mineral radiation and evaluate the production of H<sub>2</sub> as a function of mineral grain size and radioisotope composition. The results confirm that grain size is a major control on radiolytic H<sub>2</sub> yield. For example, using the standard geological classification of grain sizes, we find that clay can produce up to an order of magnitude more H<sub>2</sub> per unit time than sand. The magnitude of this effect is illustrated using compositional data from real geological units in order to demonstrate the dependence of radiolytic hydrogen flux on natural radionuclide concentration and bulk porosity.</p>

opencc-zeroJun 2022View details →
dryad32/100

Figure data and analysis for: The effect of grain size on porewater radiolysis

Open the record for dataset details and reuse information.

publicJun 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record