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Dataset results
228 results for “Volumetric”
Data from: The tendinopathic Achilles tendon does not remain iso-volumetric upon repeated loading: insights from 3D ultrasound
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Data from: An advanced shape-fitting algorithm applied to quadrupedal mammals: improving volumetric mass estimates
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Data from: Mapping and analysis of the connectome of sympathetic premotor neurons in the rostral ventrolateral medulla of the rat using a volumetric brain atlas
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Data from: Experience, but not age, is associated with volumetric mushroom body expansion in solitary alkali bees
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AirMOSS: L4 Modeled Volumetric Root Zone Soil Moisture, 2012-2015
This data set provides hourly gridded soil moisture estimates derived from hydrologic modeling at nine AirMOSS sites across North America. The AirMOSS L4 RZSM product represents a temporal interpolation of intermittent AirMOSS L2/3 RZSM retrievals into a temporally-continuous, multi-layer, hourly soil moisture product. The L4 RZSM data have the same spatial resolution (3-arcsecs or ~100 m), and the same temporal coverage (generally Fall 2012 through Fall 2015), as the underlying L2/3 RZSM data. The L4 RZSM data were produced by the integration of the Level 2/3 product and other ancillary information into the Penn State Integrated Hydrologic Model (PIHM). Many key applications for AirMOSS data products, including the calculation of net ecosystem exchange (NEE), require temporally continuous RZSM estimates such as those provided here.
AirMOSS: L2/3 Volumetric Soil Moisture Profiles Derived From Radar, 2012-2015
This data set provides level 2/3 root zone soil moisture (RZSM) estimates at multiple depths at 90-m spatial resolution from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over ten sites across North America. AirMOSS produces estimates of RZSM with data from a P-band synthetic aperture radar (SAR) flown on a NASA Gulfstream-III aircraft. The resulting soil moisture estimates capture the effects of gradients of soil, topography, and vegetation heterogeneity over an area of approximately 100km x 25km at each of the study sites. AirMOSS flight campaigns took place at least biannually from 2012 to 2015 at each site.
LBA-ECO ND-02 Soil Volumetric Water Content, Tapajos National Forest, Brazil
This data set reports monthly measured soil volumetric water content (VWC) from a rainfall exclusion experiment that was conducted from 1999-2001 at the km 67 Seca Floresta site, Tapajos National Forest, Brazil. The purpose was to observe the potential effects of severe water stress on a humid Amazonian forest (Nepstad 2002). There are two ASCII comma delimited files with measured VWC, one for the control plot and one for the rainfall exclusion plot.These measured values were used by the authors to develop a model of daily changes in the distribution of water through the soil layers. The simulated daily VWC values are also provided in the file with the measured VWC. For comparison, results of VWC simulation for the control and treatment plots using a STELLA model which incorporates rainfall and plant water uptake are provided. There are two ASCII comma delimited files of simulated results. See Belk et. al., 2007 for details.
BOREAS HYD-01 Volumetric Soil Moisture Data
The BOREAS HYD-01 team made measurements of volumetric soil moisture at the SSA and NSA tower flux sites in 1994 and at selected tower flux sites in 1995-97. Different methods were used to collect these measurements, including neutron probe and manual and automated TDR. In 1994, the measurements were made every other day at the NSA-OJP, NSA-YJP, NSA-OBS, NSA-Fen, SSA-OJP, SSA-YJP, SSA-Fen, SSA-YA, and SSA-OBS sites. In 1995-97, when automated equipment was deployed at NSA-OJP, NSA-YJP, NSA-OBS, SSA-OBS, and SSA-OA, the measurements were made as often as every hour.
Multiscale analysis of a regenerative therapy for treatment of volumetric muscle loss injury
GEO Series GSE114799. Rattus norvegicus. 138 samples. Type: Expression profiling by high throughput sequencing.
Perfusable adipose decellularized extracellular matrix biological scaffoldco-recellularizedwith adipose-derived stem cellsand L6 promotes functional skeletal muscle regeneration following volumetric m
GEO Series GSE247751. Rattus norvegicus. 2 samples. Type: Expression profiling by high throughput sequencing.
Unwavering Pathobiology of Volumetric Muscle Loss Injury
GEO Series GSE114798. Sus scrofa domesticus. 12 samples. Type: Expression profiling by high throughput sequencing.
Local IL-10 delivery modulates the immune response and enhances repair of volumetric muscle loss muscle injury
GEO Series GSE206823. Rattus norvegicus. 12 samples. Type: Expression profiling by high throughput sequencing.
Adaptation to Volumetric Compression Drives an Apoptosis-Resistant and Invasive Phenotype in Liver Cancer
GEO Series GSE231717. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Maresin 1 Repletion Improves Muscle Regeneration After Volumetric Muscle Loss
GEO Series GSE215808. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Temporal Dynamics of Gene and Protein Expression Follow Volumetric Muscle Loss
GEO Series GSE281962. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Volumetric Quality Control Phantom Acquisition on the GE SIGNA PET/MR
<p>This is a Volumetric quality control (VQC) phantom dataset acquired on the GE SIGNA PET/MR Scanner at Invicro, London. This dataset comprises of :</p> <p>1. LST : Uncompressed PET listmode file</p> <p>2. MR: Reconstructed MRI images of the acquisition over 146 slices</p> <p>3. MRRAW: Raw MR '.p' files</p> <p>4. PT: Reconstructed PET images over 89 slices</p> <p>5. PTRAW: Uncompressed raw emission and normalisation sinograms</p> <p>README.txt contains additional information of the dataset.</p>
Data from: High-throughput synapse-resolving two-photon fluorescence microendoscopy for deep-brain volumetric imaging in vivo
Optical imaging has become a powerful tool for studying brains in vivo. The opacity of adult brains makes microendoscopy, with an optical probe such as a gradient index (GRIN) lens embedded into brain tissue to provide optical relay, the method of choice for imaging neurons and neural activity in deeply buried brain structures. Incorporating a Bessel focus scanning module into two-photon fluorescence microendoscopy, we extended the excitation focus axially and improved its lateral resolution. Scanning the Bessel focus in 2D, we imaged volumes of neurons at high-throughput while resolving fine structures such as synaptic terminals. We applied this approach to the volumetric anatomical imaging of dendritic spines and axonal boutons in the mouse hippocampus, and functional imaging of GABAergic neurons in the mouse lateral hypothalamus in vivo.
Automatic Volumetric Temperature Regulation During In Vivo MRI-guided Laser-Induced Thermotherapy (MRg-LITT) with multiple laser probes
<p>This dataset is associated with the article.</p> <p>An example of automatic regulation with three laser probes used corresponding to <strong>Experiment A</strong> of the article is provided in this dataset with :</p> <ul> <li>dataset generated from the<strong> initial low power shot</strong> containing:<br> <ul> <li>'Data' : reconstructed data of the MRI thermometry sequence (magnitude, phase, temperature) ;</li> <li>'ROIs': the three masks of ROIs that are used for regulation and are generated from this low power shot ;</li> <li>'Sources' : matrices of heating distributions of the three laser probes used for regulation and computed from this low power shot.</li> </ul> </li> <li>dataset generated from the<strong> regulation</strong> : <ul> <li>'Data': reconstructed data of the MRI thermometry sequence (magnitude, phase, temperature, thermal dose) ;</li> <li>'Curves': regulation curves (target temperature, regulated temperature and baseline);</li> <li>'Coord_regulated_points': position [slice, X,Y] in thermometry images of points used for regulation (showing maximal temperature at each repetition) for each ROI and each repetition.</li> </ul> </li> </ul>
Visualization of the Multidimensional Volumetric Data-base by Video - Mapping Technology in field of Operational Oceanography (Algerian basin) (zooplankton expressed as carbon in sea water - mass concentration of chllorophyl a in sea water,Wekeo Data ) During 2022 year : (educational support resource in space oceanography)
<p>The multidimensional view of the Earth and its immediate environment that is provided by space borne sensors, operating at many wavelengths and directed at many different phenomena, has revolutionized man's understanding of his planet and the surrounding space environment.<strong>(John H. McElroy.,1985)</strong>,</p> <p>Earth observation satellites measuring in the visible and infrared spectral domain provide a global perspective for many required to determine the role of the ocean in the global climate system, as well as the effects on the ocean of a changing climate <strong>(James A. Yoder and all.,2014)</strong>.</p> <p>Data visualization by video graphics technology is a digital modeling technique also a description or analogy used to help visualize something that cannot be observed directly which exploits the bases of scientific knowledge in a data processing system by the use of mathematical and statistical tools and analysis and forecasting methods to visualize what is hidden behind the data. This work is inspired by the general principle of numerical modeling and data processing, which takes into consideration (the observation of natural phenomena, and the statistical processing of scientific data, which are at the base of the functioning of natural variation)</p> <p> </p> <p><strong>Bibliographic reference:</strong><br> <strong>-Monitoring Earth's Ocean, Land, and Atmosphere from Space-Sensors, Systems, and Applications, edited by Abraham Schnapf, American Institute of Aeronautics and Astronautics, 1985<br> -Optical Radiometry for Ocean Climate Measurements, Elsevier Science & Technology, 2014</strong></p> <p> </p>
3D VOLUMETRIC CHANGE OF THE PALATAL DONOR REGION IN WOUND HEALING
ClinicalTrials.gov study NCT06250179. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
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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.