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1,826 results for “burn”
Modeling actinic flux and photolysis frequencies in dense biomass burning plumes - Data asset
<p>Dataset is related to the paper by Tirpitz et al.: Modeling actinic flux and photolysis frequencies in dense biomass burning plumes</p> <p>Contains the preprocessed model input data and the modeling results (actinic fluxes and photolysis frequencies) for the Shady wildfire on July 25, 2019. The VPC model is on a private Github-Repository. Access is provided by the authors on request. See paper and INFO.txt in Data.zip for more information.</p> <p>Correspondence:<br> Jan-Lukas Tirpitz: jltirpitz@atmos.ucla.edu<br> Jochen Stutz: jochen@atmos.ucla.edu</p> <p>Other contributors:<br> Santo Fedele Colosimo<br> Nathaniel Brockway<br> Robert Spurr<br> Matthew Christi<br> Samuel Hall<br> Kirk Ullmann <br> Johnathan Hair<br> Taylor Shingler<br> Rodney Weber<br> Jack Dibb<br> Richard Moore<br> Elizabeth Wiggins<br> Vijay Natraj<br> Nicolas Theys</p>
Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density in Population dynamics of small mammals after spring fires in steppe pine forest
Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density
Convective boundary mixing in a post-He core burning massive star model: Collapse and starlog data
<p>The starlog data and collapse profiles from the publication, Convective boundary mixing in a post-He core burning massive star model. </p> <p>The full directories including the MESA profiles can be found here: http://www.canfar.net/storage/list/nugrid/data/projects/Davis2019_CBM_M25</p>
Figure 3 in Effect of reed burning and precipitation on the breeding success of Great Reed Warbler, Acrocephalus arundinaceus, on a mining pond
Figure 3. Correlation between amount of precipitation and breeding success at Bager Pond, 2008–2011. Data points are Early and Late groups in 4 years.
BAMS map: 2023 Canadian forest burned area dataset
<p><span>The BAMS map is a 2023 Canadian forest burned area dataset with a 10-meter resolution. It uses an unsigned integer data type, where a pixel value of 1 represents burned forest, while 0 indicates unburned areas, non-forest, or no data.</span> <span>The map is provided in the WGS 1984 coordinate system (EPSG:4326), covering the region from 145°W to 50°W longitude and from 40°N to 85°N latitude.</span></p>
Three-Dimensional Hydrodynamic Simulations of Convective Nuclear Burning In Massive Stars Near Iron Core Collapse
<p>Data products from ApJ article Three-Dimensional Hydrodynamic Simulations of Convective Nuclear Burning In Massive Stars Near Iron Core Collapse, 2021. Four 3D core-collapse supernova progenitor models. Works that utilize these progenitor models are required to cite article. The models were evolved to times listed in Table 1 of the article, the collapse time according to the 1D MESA model. All 3D data are in FLASH4 format using the HDF5 data structure. </p>
BurnCare Physiology Data: Burn with Resuscitation and Escharotomy
<p>A standard male patient with burns from 20-40% TBSA (incrementing at 5%) were simulated through 24 hours with intervention and state files were generated every hour. In these resuscitation protocols, we opt to use only lactated ringers, and no colloid compounds. The data includes a log and csv results file for each simulation. The "golden path" of treatment starts the resuscitation pathway with fluids being given at a rate of 10xTBSA (then titrated up or down each hour based on urine output). The naming structure for each state consists of tbsa, simulation time, current ringers lactate infusion rate, and colloid infusion rate (for future treatment protocols).</p> <p> </p> <p>Additionally, we include checks on the hour for compartment syndrome and relieve it with an escharotomy if one is present. </p>
Water level data from the Tarland Burn, Aberdeenshire, Scotland (2013-2022)
<p>Water level was recorded, in hourly intervals, at four locations on the Tarland Burn, Aberdeenshire, Scotland between 2013 and 2022. Measurements were made using pressure transducers and logging equipment supplied by Campbell Scientific. Rating curves have also been derived using a Valeport electromagnetic flow meter (801 model), or ADCP "boat" at higher water level. This data is provided so that level data can be converted to flow data using stage discharge relationships. Station latitude and longitude are provided. Blank cells in the data sheets are due to instrument failure or temporary loss of power.</p> <p>This work has been funded by the Scottish Government as part of the strategic research programme and provides empirical data which underpins research on natural flood management, water quality, and biodiversity.</p> <p> </p>
Effects of nurse shrubs and biochar on planted conifer seedling survival and growth in a high-severity burn patch in New Mexico, USA
<p>The synergistic effects of widespread high-severity wildfire and anthropogenic climate change are driving large-scale vegetation conversion. In the southwestern United States, areas that were once dominated by conifer forests are now shrub- or grasslands after high-severity wildfire, an ecosystem conversion that could be permanent without human intervention. Yet, the reforestation of these landscapes is rarely successful, with a mean planted seedling survival of just 25 %. Given these low rates, we carried out a planting experiment to quantify the impacts of biochar as a soil amendment and shrubs as nurse plants on planted conifer seedling survival and growth following high-severity wildfire. We planted 1200 seedlings of three species (<em>Pinus</em> <em>ponderosa</em>, <em>P. strobiformis</em>, and <em>Pseudotsuga</em> <em>menziesii</em>) in a 2-ha area within the footprint of the Las Conchas fire in New Mexico, USA. We used four treatments: under shrubs, or in the open and with or without biochar in a full-factorial design. We found that planting tree seedlings underneath shrubs increased tree seedling survival by 46 % after 3 years, with some marginal evidence that shrubs inhibited seedling diameter growth (mean <em>R<sup>2</sup></em> = 0.08). The addition of biochar increased seedling survival by 11 % but had no effect on seedling growth. Our study suggests that planted seedling survival in post-wildfire areas can be increased by planting under shrubs in soil amended with biochar. The widespread adoption of these methods may improve the success rates of post-wildfire reforestation efforts in semi-arid areas, regaining some of the ecosystem services lost to high-severity wildfire.</p>
GloCAB: Global Cropland Area Burned
<p>Please note this dataset is undergoing peer review and may be subject to changes. </p> <p>The Global Cropland Area Burned (GloCAB) dataset represents the first attempt at a global cropland-focused burned area product. The dataset provides monthly, cropland burned area files at 0.25-degree spatial resolution from July 2002 - December 2020 for our upper (high) and lower (low) estimates. The data is provided in annual GeoTIFF stacks, where the 2002 tiff file only contains 6 layers (July - December), compared to 12 layers for 2003 - 2020 (January - December). </p> <p>Please refer to the readme file for more details about the dataset. </p> <p> </p>
Supporting code and data for: Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
<p>This is the R code and shapefiles of the coniferous HUC-12 watersheds and their western US boundary for the publication, "Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds" </p>
Moderate Spatial Resolution Burned Area Atlas for the Mau Forest Reserve in Kenya (2012 - 2017)
<p>This dataset contains moderate spatial resolution annual burned area records over the Mau Forest Reserve in Kenya. The dataset was derived from VIIRS Active Fire Detections (AFDs) and Landsat 7 & 8 Atmospherically Corrected Surface Reflectance, applying the ST-DBSCAN (Spatio-Temporal Density-Based Spatial Clustering of Applications with Noise) algorithm and the differenced Normalized Burn Ratio (dNBR) for burned area identification.</p> <p>Please consider that the dataset is still subject to revision to address inaccuracies associated with the spatial extent of derived burned areas.</p> <p>Further documentation and related resources can be found at: https://github.com/StefMeh/Burned-Area-Estimation.git</p>
District-level Agricultural Residue Burning Emissions (DARBE) in India 2011-2020 v1.3
<p>The data provides satellite-based estimates of agricultural burned area, crop residue dry matter burned and agricultural residue burning emissions across India from 2011-2020. It also includes visualisation tools used in the emission estimation and visualisation of the data for the reader's reference.</p> <p>References: </p> <p>1. IPCC 1996, Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual (Volume 3) https://www.ipcc-nggip.iges.or.jp/public/gl/invs6c.html (accessed May 04, 2023)</p> <p>2. Jain M, Mondal P, DeFries RS, Small C, Galford GL. Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors. Remote Sens Environ 2013;134:210–23. https://doi.org/10.1016/j.rse.2013.02.029.</p> <p>3. Deshpande MV, Pillai D, Jain M. Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data. Int J Appl Earth Obs Geoinf 2022a;108:1–10. https://doi.org/10.1016/j.jag.2022.102761.</p> <p>4. Deshpande MV, Pillai D, Jain M. Agricultural burned area detection using an integrated approach utilizing multi spectral instrument based fire and vegetation indices from Sentinel-2 satellite. MethodsX 2022b;9. https://doi.org/10.1016/j.mex.2022.101741.</p> <p>5. Sahu SK, Mangaraj P, Beig G, Samal A, Chinmay Pradhan, Dash S, et al. Quantifying the high resolution seasonal emission of air pollutants from crop residue burning in India. Environ Pollut 2021;286:117165. https://doi.org/10.1016/j.envpol.2021.117165.</p>
Estimation of biomass combustion carbon emissions data for 2016 in Africa based on GABAM burned area products.
<p>Estimated biomass combustion carbon emissions data for the African region in 2016, based on the GABAM 30m burned area product.The product is geographically (latitude/longitude) projected with a resolution of 0.00025° (approximately 30 meters) using the WGS84 horizontal datum and the EGM96 vertical datum, and consists of 10° x 10° tiles covering the entire African region.</p>
Estimation of biomass combustion carbon emissions data for 2015 in Africa based on GABAM burned area products.
<p>Estimated biomass combustion carbon emissions data for the African region in 2015, based on the GABAM 30m burned area product.The product is geographically (latitude/longitude) projected with a resolution of 0.00025° (approximately 30 meters) using the WGS84 horizontal datum and the EGM96 vertical datum, and consists of 10° x 10° tiles covering the entire African region.</p>
Use of Autologous Platelet-Rich Plasma to Treat Hypertrophic Burn Scars
ClinicalTrials.gov study NCT03935594. IPD Sharing: NO. Countries: 1. Publications: 5.
Data from: Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest
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Effects of nurse shrubs and biochar on planted conifer seedling survival and growth in a high-severity burn patch in New Mexico, USA
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COI metabarcoding data from arthropod pollinator communities in burned and unburned sites of California
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Data from: Pyrophilic plants respond to post-fire soil conditions in a frequently burned longleaf pine savanna
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