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116 results for “surface scanning”
Terrestrial Laser Scans of surface deformation associated with the 11/11/2019 Mw 4.7 Le Teil earthquake (SE France)
<p>Terrestrial Laser Scans of surface deformation produced by the 11/11/2019 Mw 4.7 Le Teil earthquake in SE France.</p> <p>All scans were produced with a Faro X330 equipment at 1/2 resolution, low laser power, with in-field filters (lost points). Processing includes import and registration with Faro Scene software, export as LAS files, manual editing of noise, vegetation and scattered points with CloudCompare software and rasterization with universal kriging with Golden Software Surfer software.</p>
Text-fig. 5. Anacardiaceae (a–m), Burseraceae (n–q). Scale bars = 1 cm. a–f: Pentoperculum sp. a–c: USNM PAL 772360. a: Lateral view of endocarp, apex up; three germination valves visible, the central clearly displaying the bipartite nature of the valve, reflected light, palladium coated. b: Apical view displaying six locules, with two preserved germination valves at the lower left, reflected light, palladium coated. c: Basal view of the endocarp, the locules suggested by swellings; note point of attachment, micro-CT scan surface rendering. d–f: Pentoperculum sp. USNM PAL 772359, reflected light, palladium coated. d: Lateral view of a probable 6-loculed endocarp, apex up; a single intact germination valve in the center, displaying the central lineation that divides it in two. e: Apical view; two bi-partite germination valves are visible, indicated by arrows to the middle cleavage line of two of the valves. f: Basal view, the locules suggested by the undulations in the margin. g–i: Indet. Spondioideae. USNM PAL 772358, reflected light, palladium coated. g: Lateral view of multi-locular endocarp, apex up. h: Apical view showing finely punctuate surface and peripheral locule cavities. i: Basal view. j–m: Cf. Pleiogynium USNM PAL 772357. j: Lateral view of the multi-locular endocarp, apex up; note intact germination valve on left and exposed locule facing the viewer, micro-CT scan surface rendering. k: Lateral view, rotated about 30° from (j), showing three exposed locules, reflected light, palladium coated; note bipartite locule lining at center. l: Apical view of the multilocular endocarp; the locule with intact germination valve at the upper right, reflected light, palladium coated. Arrows to each locule. m: Basal view showing central point of attachment and prominent radiating ridges aligned with the locules, micro-CT scan surface rendering. n–q: Canarium, USNM PAL 772361. Scale bar = 1 cm. n: Lateral view of endocarp directly facing one germination valve flanked by two strong ridges; apex up; specimen coated in sodium nitrate and photographed by R. A. Scott. o: Lateral view facing one of the three pronounced ridges, flanked to the left and right by two germination valves; apex up. p: Apical view displaying the three strong ridges, arching over the apex and flanking three deep embayments, covered with germination valves. q: Basal view, the three ridges being less pronounced. o–q: Reflected light, palladium coated. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 5. Anacardiaceae (a–m), Burseraceae (n–q). Scale bars = 1 cm. a–f: Pentoperculum sp. a–c: USNM PAL 772360. a: Lateral view of endocarp, apex up; three germination valves visible, the central clearly displaying the bipartite nature of the valve, reflected light, palladium coated. b: Apical view displaying six locules, with two preserved germination valves at the lower left, reflected light, palladium coated. c: Basal view of the endocarp, the locules suggested by swellings; note point of attachment, micro-CT scan surface rendering. d–f: Pentoperculum sp. USNM PAL 772359, reflected light, palladium coated. d: Lateral view of a probable 6-loculed endocarp, apex up; a single intact germination valve in the center, displaying the central lineation that divides it in two. e: Apical view; two bi-partite germination valves are visible, indicated by arrows to the middle cleavage line of two of the valves. f: Basal view, the locules suggested by the undulations in the margin. g–i: Indet. Spondioideae. USNM PAL 772358, reflected light, palladium coated. g: Lateral view of multi-locular endocarp, apex up. h: Apical view showing finely punctuate surface and peripheral locule cavities. i: Basal view. j–m: Cf. Pleiogynium USNM PAL 772357. j: Lateral view of the multi-locular endocarp, apex up; note intact germination valve on left and exposed locule facing the viewer, micro-CT scan surface rendering. k: Lateral view, rotated about 30° from (j), showing three exposed locules, reflected light, palladium coated; note bipartite locule lining at center. l: Apical view of the multilocular endocarp; the locule with intact germination valve at the upper right, reflected light, palladium coated. Arrows to each locule. m: Basal view showing central point of attachment and prominent radiating ridges aligned with the locules, micro-CT scan surface rendering. n–q: Canarium, USNM PAL 772361. Scale bar = 1 cm. n: Lateral view of endocarp directly facing one germination valve flanked by two strong ridges; apex up; specimen coated in sodium nitrate and photographed by R. A. Scott. o: Lateral view facing one of the three pronounced ridges, flanked to the left and right by two germination valves; apex up. p: Apical view displaying the three strong ridges, arching over the apex and flanking three deep embayments, covered with germination valves. q: Basal view, the three ridges being less pronounced. o–q: Reflected light, palladium coated.
Text-fig. 16. Scanning electron microscope (SEM) images of "Stamen fragments with in situ Clavatipollenites- or Asteropollis-type pollen" (sp. 1: a–c; sp. 2: d–f; sp. 3: g–i); Catefica locality, Portugal. a) Stamen fragment showing pollen sacs; b) Distal view of pollen grain from (a) showing semitectate-reticulate tectum; c) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered, columellae supporting muri with fine pits and rounded supratectal ornamentation; note orbiculae with a finely spiny surface (arrows); d) Stamen showing very short filament, lateral pollen sacs and short apical extension of the narrow connective; e) Folded pollen grain from (d) showing semitectate-reticulate tectum; f) Detail of pollen wall from (d) showing the semitectatereticulate tectum and muri with fine rounded ornamentation; g) Stamen fragment; h, i) Detail of pollen grains from (g) showing the semitectate-reticulate tectum with smooth muri, long scattered columellae and tiny scattered orbicules (arrow). Specimens, Catefica 50-S170395 (a–c), Catefica 49-S172561 (d–f), Catefica 50-S170390 (g–i). Scale bars = 600 Μm (a, d, g), 6 Μm (b, e, h), 1.5 Μm (c, f, i). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 16. Scanning electron microscope (SEM) images of "Stamen fragments with in situ Clavatipollenites- or Asteropollis-type pollen" (sp. 1: a–c; sp. 2: d–f; sp. 3: g–i); Catefica locality, Portugal. a) Stamen fragment showing pollen sacs; b) Distal view of pollen grain from (a) showing semitectate-reticulate tectum; c) Detail of pollen wall showing the semitectate-reticulate tectum and long, scattered, columellae supporting muri with fine pits and rounded supratectal ornamentation; note orbiculae with a finely spiny surface (arrows); d) Stamen showing very short filament, lateral pollen sacs and short apical extension of the narrow connective; e) Folded pollen grain from (d) showing semitectate-reticulate tectum; f) Detail of pollen wall from (d) showing the semitectatereticulate tectum and muri with fine rounded ornamentation; g) Stamen fragment; h, i) Detail of pollen grains from (g) showing the semitectate-reticulate tectum with smooth muri, long scattered columellae and tiny scattered orbicules (arrow). Specimens, Catefica 50-S170395 (a–c), Catefica 49-S172561 (d–f), Catefica 50-S170390 (g–i). Scale bars = 600 Μm (a, d, g), 6 Μm (b, e, h), 1.5 Μm (c, f, i).
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 31. Scanning electron microscope (SEM) images of isolated pollen of Piercipollis sp. (a, b) and Teebacia sp. (c–e); Catefica locality, Portugal. a) Isolated pollen grain (arrow) adhering to the much larger pollen of Araucariacites sp. in fragment of a conifer cone; note the size difference between the angiosperm and conifer pollen that is typical in Early Cretaceous floras; b) Pollen grain in (a) enlarged showing the extended aperture and homobrochate reticulum with smooth muri supported by long, scattered, columellae; c) Isolated pollen grains adhering to the outer surface of a Saportanthus parvus flower; d) Pollen grain in (c) enlarged showing the open reticulum and muri ornamented by fine transverse ribs; e) Detail of pollen grain in (d) showing the muri supported by long, scattered columellae; note the fine transverse ribs on the muri. Specimens, Catefica 49-S170139-01 (a, b), Catefica 361-S174322-01 (c–e). Scale bars = 50 Μm (a), 20 Μm (c), 6 Μm (b, d), 1.5 Μm (e).
VSDFullBodyBoneReconstruction: Segmentations and surface models of bones of the entire lower body created from cadaver CT scans from the VSDFullBody collection
<p>The segmentations and models of the bones of the lower extremities were created from anonymized postmortem CT scans of the whole body originally published by Michael Kistler in the Swiss Institute for Computer Assisted Surgery Medical Image Repository (<a href="https://www.smir.ch/">smir.ch</a>) as open access Virtual Skeleton Database (VSD). A mirror of the VSD is available at Zenodo: <a href="https://doi.org/10.5281/zenodo.8270364">10.5281/zenodo.8270364</a>. </p><p><strong>However</strong>, this is a stand-alone upload and the full VSD is not required to use this upload. Further information can be found in the following publication:</p><p>Fischer, M. C. M. Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans. <i>Sci. Data</i> <strong>10</strong>, 763; <a href="https://doi.org/10.1038/s41597-023-02669-z">10.1038/s41597-023-02669-z</a> (2023).</p><p>Post-processed 3D surface models stored as MATLAB MAT files were released as Git repository at <a href="https://github.com/MCM-Fischer/VSDFullBodyBoneModels">https://github.com/MCM-Fischer/VSDFullBodyBoneModels</a> and versioned via Zenodo: <a href="https://doi.org/10.5281/zenodo.8316730">10.5281/zenodo.8316730</a>. The use of the MAT files is explained by examples for MATLAB and Python in the Git repository.</p><p><strong>Usage</strong><br>The CT volume data, segmentations, reconstructions and raw PLY mesh files of each subject are linked by a project file (MRML scene file) that can be opened with the open-source medical imaging software 3D Slicer (<a href="https://www.slicer.org/">slicer.org</a>).</p>
Accuracy of Fitting Surface of Orbital Prosthesis Constructed by Photogrammetry Scan
ClinicalTrials.gov study NCT07078162. IPD Sharing: NO. Countries: 1. Publications: 0.
GHRSST Level 3U Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite
The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by "_rt_" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. "Final" data (currently identified by "v7" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.
GHRSST Level 2P Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite
The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by "_rt_" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. "Final" data (currently identified by "v7" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.
GHRSST Level 3U Global Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite
GDS2 Version -The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Golbal Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by "rt" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. "Final" data (currently identified by "v8" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final "v8" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days.
GHRSST Level 2P Global Subskin Sea Surface Temperature version 8.2 (v8.2) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by REMSS
This product provides a “Final” (Refined) Level-2 Sea Surface Temperature (SST) (currently identified by "v8.2" within the file name) for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, which is derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by Remote Sensing Systems (RSS, or REMSS). AMSR2 was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. The “Final” SSTs are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The v8.2 supersedes the previous v8a dataset which can be found at https://www.doi.org/10.5067/GHAM2-2PR8A.
The datasets of line structured light scanning image of aggregate surface.
<p>We provided a dataset of linear structured light scanning road aggregates, with a total of 1267 images and labels of 7 aggregates, which can be used to train the semantic segmentation network.</p>
Evaluation of 3D Surface Scanning for Virtual-CT Based Radiation Therapy Treatment Planning
ClinicalTrials.gov study NCT06409000. IPD Sharing: Not stated. Countries: 1. Publications: 0.
GHRSST Level 2P Global Near-Real-Time Subskin Sea Surface Temperature version 8.2 (v8.2) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) on the GCOM-W satellite by REMSS
This product provides a near-real-time (NRT) Level-2 Sea Surface Temperature (SST) (identified by "_rt_" within the file name) for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, which is derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by Remote Sensing Systems (RSS, or REMSS). AMSR2 was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. The NRT SST is made as available as soon as possible, generally within 3 hours latency. The v8.2 supersedes the previous v8a dataset which can be found at https://www.doi.org/10.5067/GHAM2-2TR8A.
GHRSST Level 3U Global Subskin Sea Surface Temperature version 8.2 from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite by REMSS
This product contains a “Final” (Refined) Level-3U Sea Surface Temperature (SST) (currently identified by "v8.2" within the file name) for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, which is derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by Remote Sensing Systems (RSS, or REMSS). AMSR2 was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. The “Final” SSTs are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final "v8.2" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days. The v8.2 L3U SST supersedes the previous v8a dataset which can be found at https://www.doi.org/10.5067/GHAM2-3UR8A.
GHRSST Level 3U Global Near-Real-Time Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite
GDS2 Version -The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Golbal Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by "rt" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. "Final" data (currently identified by "v8" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final "v8" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days.
GHRSST Level 3U Global Global Near-Real Subskin Sea Surface Temperature version 8.2 (v8.2) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) on the GCOM-W satellite by REMSS
This product contains a near-real-time (NRT) Level-3U Sea Surface Temperature (SST) (identified by "_rt_" within the file name) for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, which is derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by Remote Sensing Systems (RSS, or REMSS). AMSR2 was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. The NRT SST is made as available as soon as possible, generally within 3 hours latency. The v8.2 supersedes the previous v8a dataset which can be found at https://www.doi.org/10.5067/GHAM2-3TR8A.
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.