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92 results for “Energy surface”
Supplementary Data for Manuscript : "Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'
<p>Contains all supplementary works mentioned in the manuscript.</p>
Data for "Energy Surplus and Atmosphere – Land-Surface "Tug of War" Induced by Climate Change Control Future Evapotranspiration"
<p>USGS gauges used in manuscript "<strong>Energy Surplus and An Atmosphere-Land-Surface “Tug of War” Control Future Evapotranspiration"</strong>. USGS_CTL15_Gage.mat contains the USGS gauge ID, and one can use retrieve_daily_streamflow.m to download the corresponding streamflow time series. </p>
Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces
<p>Computational dataset for our research papers on energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces:<br><br></p> <p>N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl<br><em>Dynamic friction unraveled by observing an unexpected intermediate state in controlled molecular manipulation</em><br><a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.131.148001">Phys. Rev. Lett. <strong>131</strong>, 148001 (2023)</a></p> <p>N. Okabayashi, T. Frederiksen, A. Liebig, and F. J. Giessibl<br><em>Energy dissipation of a carbon monoxide molecule manipulated using a metallic tip on copper surfaces</em><br><a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.108.165401">Phys. Rev. B <strong>108</strong>, 165401 (2023)</a></p>
Au catalyzed energy release in a molecular solar thermal (MOST) system: A combined liquid-phase and surface science study
<p>Raw Data, evaluated files and a list of experiments is provided.</p>
Data from: Eye region surface temperature reflects both energy reserves and circulating glucocorticoids in a wild bird
Open the record for dataset details and reuse information.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 COG19um R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 COG19um (PREFIRE_SAT2_2B-SFC_COG19um) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-SFC_COG19um contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved surface emissivity values for channel 21 (centered at about 18.6 µm). Those surface emissivity data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask), and PREFIRE_SAT2_AUX-MET. The retrieved surface emissivity values are only available for clear-sky conditions. As part of the rendering process, mean retrieved surface emissivity values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started June 29, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar surface emissivity GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-SFC_COG19um collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 COG11um R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 COG11um (PREFIRE_SAT1_2B-SFC_COG11um) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-SFC_COG11um contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved surface emissivity values for channel 14 (centered at about 11.4 µm). Those surface emissivity data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask), and PREFIRE_SAT1_AUX-MET. The retrieved surface emissivity values are only available for clear-sky conditions. As part of the rendering process, mean retrieved surface emissivity values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started July 24, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar surface emissivity GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-SFC_COG11um collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 (PREFIRE_SAT1_2B-SFC) contains surface emissivity derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-SFC contains surface spectral emissivity for all available TIRS-PREFIRE channels as derived from PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from the PREFIRE_SAT1_AUX-MET (Auxiliary Meteorology) and PREFIRE_SAT1_2B-MSK (cloud mask) collections. The purpose of this collection is to assess surface emissivity over the polar regions to better quantify the polar radiative budget in those regions. Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The surface emissivity data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-SFC collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity Sorted All-sky Climatology from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity Sorted All-sky Climatology from PREFIRE Satellite 2 (PREFIRE_SAT2_3-SFC-SORTED=ALLSKY) contains monthly climatologies of the Level 2 PREFIRE Surface Emissivity from the PREFIRE Satellite 2 collection (PREFIRE_SAT2_2B_SFC), which is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_3-SFC-SORTED-ALLSKY climatologies include 1) gridded, time-averaged spectral emissivity sorted by surface type, and 2) gridded standard deviations of time-averaged spectral emissivity sorted by surface type. The grids are 1°x1° and time averaging is currently monthly. Spatially, the cross-track dimension is retained, which consists of 8 distinct tracks. Full swath climatologies will be generated in addition to ascending- and descending-only subsets to account for diurnal variability. The purpose of this collection is to identify surface emissivity behaviors based on surface type and to assimilate PREFIRE surface emissivity data into climate models to further understand and more accurately predict future climates.The data format is NetCDF4.The sorted surface emissivity climatologies for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_3-SFC-SORTED-ALLSKY collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 COG19um R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 1 COG19um (PREFIRE_SAT1_2B-SFC_COG19um) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-SFC_COG19um contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved surface emissivity values for channel 22 (centered at about 18.2 µm). Those surface emissivity data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask), and PREFIRE_SAT1_AUX-MET. The retrieved surface emissivity values are only available for clear-sky conditions. As part of the rendering process, mean retrieved surface emissivity values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started July 24, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar surface emissivity GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-SFC_COG19um collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 (PREFIRE_SAT2_2B-SFC) contains surface emissivity derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-SFC contains surface spectral emissivity for all available TIRS-PREFIRE channels as derived from PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from the PREFIRE_SAT2_AUX-MET (Auxiliary Meteorology) and PREFIRE_SAT2_2B-MSK (cloud mask) collections. The purpose of this collection is to assess surface emissivity over the polar regions to better quantify the polar radiative budget in those regions. Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The surface emissivity data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-SFC collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 COG11um R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity from PREFIRE Satellite 2 COG11um (PREFIRE_SAT2_2B-SFC_COG11um) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-SFC_COG11um contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved surface emissivity values for channel 12 (centered at about 11.0 µm). Those surface emissivity data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask), and PREFIRE_SAT2_AUX-MET. The retrieved surface emissivity values are only available for clear-sky conditions. As part of the rendering process, mean retrieved surface emissivity values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started June 29, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar surface emissivity GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-SFC_COG11um collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity Sorted All-sky Climatology from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Surface Emissivity Sorted All-sky Climatology from PREFIRE Satellite 1 (PREFIRE_SAT1_3-SFC-SORTED=ALLSKY) contains monthly climatologies of the Level 2 PREFIRE Surface Emissivity from the PREFIRE Satellite 1 collection (PREFIRE_SAT1_2B_SFC), which is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_3-SFC-SORTED-ALLSKY climatologies include 1) gridded, time-averaged spectral emissivity sorted by surface type, and 2) gridded standard deviations of time-averaged spectral emissivity sorted by surface type. The grids are 1°x1° and time averaging is currently monthly. Spatially, the cross-track dimension is retained, which consists of 8 distinct tracks. Full swath climatologies will be generated in addition to ascending- and descending-only subsets to account for diurnal variability. The purpose of this collection is to identify surface emissivity behaviors based on surface type and to assimilate PREFIRE surface emissivity data into climate models to further understand and more accurately predict future climates.The data format is NetCDF4.The sorted surface emissivity climatologies for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_3-SFC-SORTED-ALLSKY collection
Supplemental information for "Creating thin magnetic layers at the surface of 2 Sb2Te3 topological insulators using a low-energy chromium ion beam"
<p>A test upload of the data repository to Zenodo</p>
Supporting model data for paper: Measuring the impact of a new snow model using surface energy budget process relationships
<p>Supporting model data for paper: Measuring the impact of a new snow model using surface energy budget process relationships which has been submitted to the Journal of Advances in Modelling Earth Systems: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020MS002144</p> <p>The experiment id h3hh corresponds to simulations with the ECMWF IFS with a single layer snow model. h3eg corresponds to the experimental 5-layer snow model.</p> <p>The timeseries are made by concatenating hourly data from day2 of forecasts initialised at 00UTC each day between Dec 1st 2013 and 1 June 2014.</p>
Data from: Grazing effects on surface energy fluxes in a desert steppe on the Mongolian Plateau
Quantifying the surface energy fluxes of grazed and ungrazed steppes is essential to understand the roles of grasslands in local and global climate and in land use change. We used paired eddy-covariance towers to investigate the effects of grazing on energy balance (EB) components: net radiation (Rn), latent heat (LE), sensible heat (H), and soil heat (G) fluxes on adjacent grazed and ungrazed areas in a desert steppe of the Mongolian Plateau for a two-year period (2010-2012). Near 95% of Rn was partitioned as LE and H, whereas the contributions of G and other components of the EB were 5% at an annual scale. H dominated the energy partitioning and shared ~50% of Rn. When comparing the grazed and the ungrazed desert steppe, there was remarkably lower Rn and a lower H, but higher G at the grazed site than at the ungrazed site. Both reduced available energy (Rn˗G) and H through grazing indicated a "cooling effect" feedback onto the local climate. Grazing reduced the dry year LE but enhanced the wet year LE. Energy partitioning of LE/Rn was positively correlated with the canopy conductivity, leaf area index, and soil moisture. H/Rn was positively correlated with the vapor pressure deficit but negatively correlated with the soil moisture. Boosted regression tree results showed that LE/Rn was dominated by soil moisture in both years and at both sites, while grazing shifted the H/Rn domination from temperature to soil moisture in the wet year. Grazing not only caused a LE shift between the dry and the wet year, but also triggered a decrease in the H/Rn because of changes in vegetation and soil properties, indicating that the ungrazed area had a greater resistance while the grazed area had a greater sensitivity of EB components to the changing climate.
code, scripts and data for "Energy transfers in surface wave-averaged equations" by L. Czeschel and C. Eden
Open the record for dataset details and reuse information.
Simulation data for "Tuning Adhesion and Energy Dissipation in Polymer Films between Solid Surfaces via Grafting and Cross-Linking"
<p>LAMMPS input and data files, Jupyter notebooks used for the analysis of the MD simulations.</p>
Data included in "Sea surface energy fluxes' response to the Quasi-Biweekly Oscillation: A case study in the South China Sea"
<p>Underway observed sea surface energy fluxes data in 2019 and 2021 over the summer South China Sea.</p>
Data from: Surface energies of elemental crystals
Open the record for dataset details and reuse information.
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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.