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Dataset results
117 results for “Burn severity”
Microbiome Changes in Severe Burns
ClinicalTrials.gov study NCT03130868. IPD Sharing: NO. Countries: 1. Publications: 8.
Proline Metabolism in Severely Burned Patients: Effect of Modulated Parenteral Feeding
ClinicalTrials.gov study NCT00216983. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Efficacy and Safety for Different Regimen of VTE Pharmacoprophylaxis Among Severely Burn Patients
ClinicalTrials.gov study NCT05237726. IPD Sharing: NO. Countries: 1. Publications: 1.
Relationship between c-reactive protein-albumin ratio and prognosis in pediatric patients with severe burns
Open the record for dataset details and reuse information.
Data from: Warmer and drier fire seasons contribute to increases in area burned at high severity in western US forests from 1985-2017
<p>Increases in burned area across the western US since the mid-1980's have been widely documented and linked partially to climate factors, yet evaluations of trends in <i>fire severity</i> are lacking. Here, we evaluate fire severity trends and their interannual relationships to climate for western US forests from 1985-2017. Significant increases in annual area burned at high severity (AAB<sub>hs</sub>) were observed across most ecoregions, with an overall eight-fold increase in AAB<sub>hs</sub> across all western US forests. The relationships we identified between the annual fire severity metrics and climate, as well as the observed and projected trend toward warmer and drier fire seasons, suggest that climate change will contribute to increased fire severity in future decades where fuels remain abundant. The growing prevalence of high-severity fire in western US forests has important implications to forest ecosystems, including an increased probability of fire-catalyzed conversions from forest to alternative vegetation types.</p>
Evaluation of Hand Assessments in Children With Severe Hand Burns
ClinicalTrials.gov study NCT00363675. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of Tolerability and Efficacy of BVS857 in Severe Burn Subjects
ClinicalTrials.gov study NCT02074995. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Early Fluid Resuscitation With Balanced HES 130/0.4 [6%] in Severe Burn Injury
ClinicalTrials.gov study NCT01012648. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Fibrinogen Metabolism During Severe Trauma and Burns
ClinicalTrials.gov study NCT00588796. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Xbox Kinect Promote Physical Fitness and Lean Mass in Severely Burned Children
ClinicalTrials.gov study NCT04350034. IPD Sharing: YES. Countries: 0. Publications: 4.
Data from: Warmer and drier fire seasons contribute to increases in area burned at high severity in western US forests from 1985-2017
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Fire Intensity and Burn Severity Metrics for Circumpolar Boreal Forests, 2001-2013
This data set provides products characterizing immediate and longer-term ecosystem changes from fires in the circumpolar boreal forests of Northern Eurasia and North America. The data include fire intensity (fire radiative power; FRP), increase in spring albedo, decrease in tree cover, normalized burn ratio, normalized difference vegetation index, and land surface temperature, as well as three derived fire metrics: crown scorch, vegetation destruction, and fire-induced tree mortality. Longer-term changes are indicated by mean albedo determined 5-12 years after fires, mean percent decrease in tree cover 5-7 years after fires, and mean annual burned percentage. The data cover the period 2001-2013 and are provided at quarter, half, and one degree resolutions for boreal forests within the 40 to 80 degree North circumpolar region. The data were derived from a variety of sources including MODIS products, climate reanalysis data, and forest inventories. A data file with identified boreal forest area (pixels), as defined by climate and vegetation type, and a file with the defined North American and Eurasian boreal forest study regions are included.
ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015
This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Plains and a second for the Shield ecoregion. Field observations were used to estimate area burned in each of five severity classes (unburned, singed, light, moderate, severely burned) in six stratified randomly selected plots of 10 x 10-m in size across a 1-ha site. Using this five class scale a burn severity index (BSI) for each 1-ha site was calculated using multiple weighted and averaged field parameters. Pre- and post-fire phenologically paired Landsat 8 images were used to model the five discrete severity classes using midpoints as breaks.
NACP Peatland Landcover Type and Wildfire Burn Severity Maps, Alberta, Canada
This data set provides landcover maps of (1) peatland type (bog, fen, marsh, swamp) with levels of biomass (open, forested) and (2) Burn Severity Index (BSI) (Dyrness and Norum, 1983) for four wildfire areas in northern Alberta, Canada. The four wildfire sites include the Utikuma fire site of 2011, Kidney Lake fire site of 2011, Fort McMurray west fire site of 2009, and Fort McMurray east fire site of 2009. The peatland classification at 12.5-m resolution (fen vs. bog including treed vs. open vs. shrubby) at each wildfire site was based on a pre-burn 2007 multi-date, multi-sensor fusion (Optical-IR, C-band and L-band SAR) approach. Over 350 field locations were sampled in central Alberta to train and validate the peatland type maps. The additional site, Wabasca, was an unburned site. Burn severity was measured in the field using the Burn Severity Index (BSI) (Dyrness and Norum 1987), a qualitative assessment of burnt moss that uses a 1-5 scale, with 1 being unburnt and 5 being severely burnt. The field data of ground consumption were correlated with Landsat pre- and post-burn imagery, specific to peatlands, to develop multivariate models for calculating burn severity and %-not-sphagnum-moss. These models were used to generate the Burn Severity Maps at 30-m resolution (percent unburned moss, and the burn severity index (BSI)). All sites were visited in 2013 for field measurements and the Utikuma site was also visited in 2012 for field measurements. Additional biophysical data for the various peatlands (aboveground biomass – tree and shrub, plant heights, density, etc. were collected and will be provided in another data set.
ABoVE: Burn Severity, Fire Progression, and Field Data, NWT, Canada, 2015-2016
This data set provides a fire progression map for year 2015 and measures of burn severity and vegetation community biophysical data collected from areas that were burned by wildfires in 2014 and 2015 in the Northwest Territories, Canada. Field data collected in 2016 include an estimate of burn severity, woody seedling/sprouting data, soil moisture, peat depth, thaw depth, and vegetation cover for selected sites.
ABoVE: Burn Severity, Fire Progression, Landcover and Field Data, NWT, Canada, 2014
This data set provides peatland landcover classification maps, fire progression maps, and vegetation community biophysical data collected from areas that were burned by wildfire in 2014 in the Northwest Territories, Canada. The peatland maps include peatland type (bog, fen, marsh, swamp) and level of biomass (open, forested). The fire progression maps enabled an assessment of wildfire progression rates at a daily time scale. Field data, collected in 2015, include an estimate of burn severity, woody seedling/sprouting data, soil moisture, and tree diameter and height of burned sites and similar vegetation characterization at landcover validation sites.
Early Transcriptomic Response to Burn injury: Severe Burns are Associated with Immune Pathway Shutdown
GEO Series GSE182616. Homo sapiens. 785 samples. Type: Expression profiling by array.
Non-severe thermal burn injuries induce long lasting gene expression changes in specific cortical neuron and glia cell types
GEO Series GSE229384. Mus musculus. 63 samples. Type: Expression profiling by high throughput sequencing.
Skeletal Muscle Transcriptome Is Affected By Age In Severely Burned Mice
GEO Series GSE208548. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
A Global Forest Burn Severity Dataset from Landsat Imagery (2003–2016)
<p>Global Forest Burn Severity database provides information on the amounts of biomass that are consumed by wildfire between 2003 and 2016. Based on the Global Fire Atlas product, when and where forest fires occurred during that period are firstly determined and then overlay the available Landsat surface reflectance products to obtain pre-fire and post-fire normalized burn ratios (NBRs) for each burned pixel, designating the difference between pre-fire NBR and post-fire NBR as dNBR and the relative difference as RdNBR. The dNBR and RdNBR for each individual forest fire are saved as GeoTiff file.</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.