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1,826 results for “burn”
Tree regeneration after fire: Delta 1994 burn surveys, pre-fire stem counts and basal areas, for black spruce
Data for this study were collected in 2001 and 2002 by Jill Johnstone (University of Alaska Fairbanks) and Eric Kasischke (University of Maryland). Sites were located within the perimeter of the 1994 burn southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West. Sites were selected from satellite classifications prepared by Eric Kasischke to represent different levels of burn severity and post-fire vegetation canopy greenness (NDVI). Site selection was constrained by road access, and only areas where all trees had been killed by the fire were selected. At each site, a central point was located in an area of visually homogeneous vegetation. Five parallel transects, each 50 m long, were laid out as follows: 1) the first transect started at the central point and followed a randomly-selected compass direction, 2) two additional transects were established parallel to the first, but at a random distance from the central transect up to 25 m distant. Vegetation was sampled in a 2-m wide belt centered on each transect, and soil samples were made at intervals along the transect line. Vegetation measurements included: a) basal diameters of all pre-fire trees greater than 1.3 m in height, b) counts of all post-fire tree seedlings, and c) basal diameters of tree seedlings and willows, measured in a randomly chosen 5x2 m portion of each transect. General notes were made on visual percent cover of different vegetation growth forms at the site. Destructive measurements of tree seedlings and willows made in 2001 were used to develop allometric equations to predict dry biomass from basal diameter. Measurements of soil organic layer depth were made at 5 m intervals with the use of a spade to excavate small chunks of sod. At one randomly-selected sample point per transect, a 10x10 cm sample of the organic layer was collected for bulk density measurements. Bulk density samples were dried in a 60degC oven for 48 hours and then w
Tree regeneration after fire: Delta 1994 burn surveys, Salix live seedling diameters
Data for this study were collected in 2001 and 2002 by Jill Johnstone (University of Alaska Fairbanks) and Eric Kasischke (University of Maryland). Sites were located within the perimeter of the 1994 burn southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West. Sites were selected from satellite classifications prepared by Eric Kasischke to represent different levels of burn severity and post-fire vegetation canopy greenness (NDVI). Site selection was constrained by road access, and only areas where all trees had been killed by the fire were selected. At each site, a central point was located in an area of visually homogeneous vegetation. Five parallel transects, each 50 m long, were laid out as follows: 1) the first transect started at the central point and followed a randomly-selected compass direction, 2) two additional transects were established parallel to the first, but at a random distance from the central transect up to 25 m distant. Vegetation was sampled in a 2-m wide belt centered on each transect, and soil samples were made at intervals along the transect line. Vegetation measurements included: a) basal diameters of all pre-fire trees greater than 1.3 m in height, b) counts of all post-fire tree seedlings, and c) basal diameters of tree seedlings and willows, measured in a randomly chosen 5x2 m portion of each transect. General notes were made on visual percent cover of different vegetation growth forms at the site. Destructive measurements of tree seedlings and willows made in 2001 were used to develop allometric equations to predict dry biomass from basal diameter. Measurements of soil organic layer depth were made at 5 m intervals with the use of a spade to excavate small chunks of sod. At one randomly-selected sample point per transect, a 10x10 cm sample of the organic layer was collected for bulk density measurements. Bulk density samples were dried in a 60degC oven for 48 hours and then w
Post-burn study of herbaceous vegetation at Jacobs Branch and Devils Den burn sites, 1990-1994
Recent declines in the yellow pine component of pine-hardwood stands in the southern Appalachian Mountains has prompted managers to increase the use of fire as a silviculture tool. This project examines the fell and burn treatment which is designed to remove competing vegetation (hardwoods and mountain laurel [Kalmia latifolia]) to ensure successful establishment of planted eastern white pine (Pinus strobus) and how it affects herbaceous vegetation recruitment.
CSM09 Small mammal host-parasite sampling data associated with the Consume herbivore exclusion plots across two burned and native-grazed watersheds at Konza Prairie
Data set contains summaries of the number of individuals of each species of small mammal captured (relative abundance) on each trapping grid. Each record contains date, treatment, grid, trap station, species, specimen number, recapture status, specimen disposition, external body measurements (where applicable), reproductive information, and miscellaneous associated comments. These sampling records are based on nightly captures during one 4-night trapping period in fall (October concurrent with annual bison roundup activites) for each of 4 permanent trapping grids established on two fire/grazing treatments (two grids per treatment). These treatments are both grazed by native grazers (bison) and include one treatment burned annually (N1A) and one treatment burned every 4 years (N4B). In each treatment, sampling grids are arranged as 5 x 10 permanent stakes spaced 10m apart and labeled numerically between 1-50 for grid A and 51-100 for grid B. One grid per treatment (grid A) is sampled using capture-mark-release methods and the other grid in each treatment (grid B) is sampled using specimen removal and subsequent whole body processing and curation.
ABG01 Aboveground and belowground invertebrate biodiversity responses to patch-burn and annual burn grazing management at Konza Prairie (2021–2023)
This dataset contains aboveground invertebrate sampling and herbivory records from tallgrass prairie plots, documenting invertebrates and their chewing herbivory across multiple plots and transects in Patch Burn Grazing and Annual Burn Grazing Watersheds. It includes taxonomic identification to the family level, counts of individuals (by life stage: nymph or adult), percent herbivory on specified plant species, and collection metadata such as date, plot ID, watershed, and transect.
2003 Prescribed Burn Effect on Chihuahuan Desert Grasses and Shrubs at the Sevilleta National Wildlife Refuge, New Mexico: Grass Recovery Study (2003-2018)
The U.S. Fish and Wildlife's plan to apply a prescribed burn to a large portion of McKenzie Flats was deemed an opportunity to study the effects of fire on vegetation at the boundary between shrubland and grassland. This study actually was undertaken on an area that had prescribed fire applied to 8 of 16 (300 m x 300 m) plots 10 years before in 1993. This previous study had also examined the effects of fencing to exclude the indigenous prong-horn antelope. In the 2003 study the prescribed fire was applied to the northeastern half of the 16 plots while the southwestern plots were intentionally protected. Sampling prior to the prescribed burn included quantification of cover of grass species in quadrats within all of the 16 plots. Measurements were made using "niner" quadrat frames that are 30 cm x 30 cm frames that are divided into 9 1-decimeter squares. Counts of grass species were made just prior to the June 2003 burn. Following the prescribed burn, quadrats were remeasured in the fall of 2003 to quantify mortality of grass species. These measurements were taken through the fall of 2012 and the fall of 2018. Measurements were not taken for 2014-2017.
2003 Prescribed Burn Effect on Chihuahuan Desert Grasses and Shrubs at the Sevilleta National Wildlife Refuge, New Mexico: Grass Recovery Study (2003-2018)
The U.S. Fish and Wildlife's plan to apply a prescribed burn to a large portion of McKenzie Flats was deemed an opportunity to study the effects of fire on the vegetation at the boundary between shrubland and grassland. This study actually was undertaken on an area that had prescribed fire applied to 8 of 16 (300 m x 300 m) plots 10 years before in 1993. This previous study had also examined the effects of fencing to exclude the indigenous prong-horn antelope. In the 2003 study the prescribed fire was applied to the northeastern half of the 16 plots while the southwestern plots were intentionally protected. Sampling prior to the prescribed burn included quantification of fuel load (ie. the standing biomass of all grasses and forbs in the area to be burned). These measurements were made using Daubenmire quadrat frames that are 5 cm x 20 cm and delineate a 0.1 square meter area. Four samples were taken adjacent to the six 3 m x 4 m quadrats in each of the eight plots that were to be burned. Quadrat frames were laid down over the vegetation and all vegetation rooted within the frame was clipped at ground level. This material was bagged, oven-dried and weighed. Following the prescribed burn, re-measurements were made every fall of from 2004 until 2012 when vegetation had reached its annual peak biomass. Data were not collected from 2014-2017, but were collected again in 2018.
2003 Prescribed Burn Effect on Chihuahuan Desert Grasses and Shrubs at the Sevilleta National Wildlife Refuge, New Mexico: Species Composition Study (2004-2018)
Disturbance from fire can affect the abundance and distribution of shrubs and grasses in arid ecosystems. In particular, fire may increase grass and forb production while hindering shrub encroachment. Therefore, prescribed fires are a common management tool for maintaining grassland habitats in the southwest. However, Bouteloua eriopoda (black grama), a dominant species in Chihuahuan Desert grassland, is highly susceptible to fire resulting in death followed by slow recovery rates. A prescribed fire on the Sevilleta National Wildlife refuge in central New Mexico in 2003 provided the opportunity to study the effects of infrequent fires on vegetation in this region. This study was conducted along a transition zone where creosote bushes (Larrea tridentata) are encroaching on a black grama grassland. Before and after the fire, above ground plant productivity and composition were monitored from 2003 to present. Following the prescribed fire, there were fewer individual grass clumps and less above ground grass cover in burned areas compared to unburned areas. This decrease in productivity was primarily from a loss of B. eriopoda. Specifically, B. eriopoda density and cover were significantly lower following the fire with a slow recovery rate in the five years following the fire. Other grasses showed no such adverse response to burning. Data were collected from 2004-2013 and 2018. Data were not collected for 2014-2017.
Lidar digital elevation models and topographic change detection results from burned and unburned plots in the Sevilleta LTER.
These data were generated as part of a research project focused on montiroing sediment flux in dryland ecosystems following wildfire. In six separate small plots, three burned and three unburned, we conducted light detection and ranging (lidar) topographic surveys in 2016, 2017, and 2018 to document elevation changes and the volume of sediment deposition and erosion. At the down-wind edge of each plot, we used sediment catchers to trap sediment exiting the plots and thus estimate erosion volumes using in-situ equipment, which provided a secondary measurement of sediment efflux from all sites in addition to the lidar data. We used the geomorphic change detection software (https://gcd.riverscapes.xyz/) to produce maps of topographic change from the lidar digital elevation models for the 2016-2017 and 2017-2018 periods at all plots, burned and unburned. Results from this project may aid in understanding post-fire transport of sediment and nutrients from drylands following wildfire.
HEE Burn-Control Site OTU FASTA
<p>Paper: Diversity and composition of fungal soil communities across prescribed burn areas in temperate hardwood forests</p> <p>Authors: S.D. Russell & M.C. Aime</p> <p>FASTA file containing the sequences of each OTU that was recovered from the burn and control survey areas using the methodology described in the paper above.</p>
Castel Fusano preliminary burned area delineation through Sentinel 2A and Landsat 8
<p>Castel Fusano urban park has been affected by a series of wildfire that have destroyed a vast area of Mediterranean pine forest . The first huge fire started on 17 July 2017.Followed by a new one on 21 July 2017.</p> <p>Sentinel 2A and Landsat 8 data have been used to map burned areas at 20m and 30m respectively by testing NBR and dNBR with available pre and post images. Sentinel 2A - MSI data are dated 20 June 2017 (pre)and 20 July 2017(post). Landsat 8 - OLI data are dated 6 July 2017 (pre) and 22 July 2017 (post). By using both satellites it is possible to map the effects of the two fires in terms of burned areas. At this preliminary stage the perimeters (here available) have been derived manually as further analysis is in progress.</p> <p>Contains modified Copernicus Sentinel data [2017]; Landsat 8-OLI courtesy of the U.S. Geological Survey</p> <p>SNAP and HARRIS- ENVI </p>
CAIRT FL2S Results of Case Study Scenario 3 (CSS3) for Biomass Burning
<p>Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.</p>
Data from: Thinning and prescribed burning increase shade-tolerant conifer regeneration in a fire excluded mixed-conifer forest
<p>Fire exclusion and past management have altered the composition, structure, and function of frequent-fire forests throughout western North America. In mixed-conifer forests of the California Sierra Nevada, fire exclusion has exacerbated the effects of drought and endemic bark beetles, resulting in extensive mortality of fire-adapted pine species. Thinning and prescribed fire are widely used in these forests to reduce fuels, moderate fire behavior, and restore ecosystems. Tree regeneration influences future forest composition and structure, and therefore future resilience to disturbances, but long-term effects of thinning and prescribed burning on tree regeneration after prolonged fire exclusion are poorly understood. We measured tree regeneration one year prior to, and periodically for 16 years following thinning and prescribed burning in a mixed-conifer forest in the Sierra Nevada, California, USA. We asked three questions. How did the composition and density of tree regeneration change after thinning and prescribed burning? Did pretreatment vegetation types influence conifer regeneration density after treatments? Did planting after overstory thinning increase regeneration density of native pine species?</p> <p>Sixteen years after treatments, combined natural regeneration of shade-tolerant white fir (Abies concolor) and incense-cedar (<em>Calocedrus</em> <em>decurrens</em>) averaged 2,032 trees per hectare (tph) after understory thinning, and 7,745 tph after understory thinning combined with prescribed burning, increases of 37% and 146% from pretreatment densities. In contrast, combined natural regeneration of white fir and incense-cedar averaged 497 tph after overstory thinning, 780 tph after overstory thinning with prescribed burning, 113 tph after prescribed burning alone, and 807 tph in untreated controls, all of which were declines from pretreatment densities. Natural regeneration of white fir and incense-cedar was consistently an order of magnitude greater than Jeffrey pine (<em>Pinus</em> <em>jeffreyi</em>) and sugar pine (<em>Pinus</em> <em>lambertiana</em>), whose combined densities 16 years after treatments averaged 37 tph across treatments and did not significantly respond to thinning and/or prescribed burning. Natural conifer regeneration after treatments varied by pre-treatment vegetation type (closed canopy, <em>Ceanothus</em> <em>cordulatus</em> shrub-dominated, and open sparse), with large increases of natural regeneration after understory thinning in closed canopy and <em>Ceanothus</em> shrub vegetation types. Planting increased sugar pine regeneration density after overstory thinning, marginally increased Jeffrey pine regeneration after overstory thinning combined with prescribed burning, and increased white fir regeneration after overstory thinning with and without burning. No treatments reduced white fir and incense-cedar natural regeneration while simultaneously increasing natural pine regeneration, suggesting new thinning, burning, and planting approaches may be required to meet regeneration restoration objectives.</p>
COI metabarcoding data from arthropod pollinator communities in burned and unburned sites of California
<p>Novel wildfire regimes are rapidly changing global ecosystems and pose significant challenges for biodiversity conservation and ecosystem management. In this study, we used DNA metabarcoding to assess the response of arthropod pollinator communities to large-scale wildfires across diverse habitat types in California. We sampled six reserves within the University of California Natural Reserve System (UCNRS), each of which was partially burned in the 2020 Lightning Complex wildfires in California. Using yellow pan traps to target pollinators, we collected arthropods from burned and unburned sites across multiple habitat types including oak woodland, redwood, scrub, chamise, grassland, forest, and serpentine habitats. We found no significant difference in alpha diversity values between burned and unburned sites; instead, seasonal variations played a significant role in arthropod community dynamics, with the emergence of plant species in Spring promoting increased pollinator richness at all sites. When comparing all sites, we found that burn status was not a significant grouping factor. Instead, compositional differences were largely explained by geographic differences, with distinct communities within each reserve. Within a geographic area, the response of arthropods to fire was dependent on habitat type. While communities in grasslands and oak woodlands exhibited recovery following burn, scrublands experienced substantial changes in community composition. Our study highlights the importance of examining community responses to wildfires across broad spatial scales and diverse habitat types. By understanding the nuanced dynamics of arthropod communities in response to fire disturbances, we can develop effective conservation strategies that promote resilience and maintain biodiversity in the face of increasing wildfire frequency and severity driven by climate change.</p>
A seven-Earth-radius helium-burning star inside a 20.5-min detached binary
<p><strong>2024-02-19 updated for including the full MESA inlists of evolutionary models.</strong></p> <p><strong>MESA_inlist.zip</strong> -<strong> </strong>the full MESA inlists of evolutionary models (including evolutions of single stars and binaries).</p> <p>_____________________________________________________________________________________________________________________</p> <p>This record contains the data of spectra, photometries and models used for the paper <em><strong>A seven-Earth-radius helium-burning star inside a 20.5-min detached binary</strong>,<a href="https://www.nature.com/articles/s41550-023-02188-2"> click here</a></em></p> <p><strong>J0526_fchart.png</strong> - the finder chart of J0526;</p> <p><strong>J0526_Keck_[0-5].spec </strong> (in Keck_ori_spectra.zip)<strong> </strong>- Keck I/LRIS spectra of J0526;</p> <p><strong>J0526_GTC_[0-6].spec </strong> (in GTC_ori_spectra.zip)<strong> </strong>- GTC/OSIRIS spectra of J0526;</p> <p><strong>J0526_GTC_syn_[0-6].spec </strong> (in GTC_spectra_models.zip)<strong> </strong>- GTC/OSIRIS spectra and their best-fit TLUSTY/Synspec spectra;</p> <p><strong>J0526_RV_bary_corrected.dat</strong> - the barycenter-corrected radial velocities derived from LRIS and OSIRIS spectra;</p> <p><strong>J0526_SED.dat</strong> - the photometric fluxes in the broad-band SED and corresponding synthetic fluxes from the best-fit model spectrum;</p> <p><strong>ZTF_J0526_[r,g].dat </strong>(in light_curves.zip) - ZTF <em>r</em>-/<em>g</em>-band light cuvrs of J0526, the raw data were provided by NASA/IPAC Infrared Science Archive (<a href="https://irsa.ipac.caltech.edu/">https://irsa.ipac.caltech.edu</a> );</p> <p><strong>Lijiang_J0526_[r,g].dat </strong>(in light_curves.zip) - LJT <em>r</em>-/<em>g</em>-band light cuvrs of J0526;</p> <p><strong>TMTS_J0526_L.dat </strong>(in light_curves.zip) - LJT <em>L</em>-band light cuvrs of J0526;</p> <p><strong>CHeB_c[0.32,0.33,0.34]+H1e-6.track</strong> (in MESA_models.zip) - the evolutionary tracks for core helium-burning stars with He-core mass of [0.32,0.33,0.34] M<sub>sun</sub> and H-envelope mass of 1e-6 M<sub>sun</sub>;</p> <p><strong>ZAHeMS_H0_sequence.dat</strong> (in MESA_models.zip) - the zero-age He-star sequence (without H envelope);</p> <p><strong>ZAHeMS_H1e-6_sequence.dat</strong> (in MESA_models.zip) - the zero-age He-star sequence (with H-envelope mass of 1e-6 M_sun );</p> <p><strong>binary_0.33+0.735.dat </strong> (in MESA_models.zip) - the binary evolutionary track for a core helium-burning star (M<sub>core</sub>=0.33 M_sun, M<sub>env</sub>=1e-6 M_sun ) and a CO WD (M=0.735 M_sun);</p> <p><strong>binary_0.36+0.735.dat </strong> (in MESA_models.zip) - the binary evolutionary track for a core helium-burning star (M<sub>core</sub>=0.36 M_sun, M<sub>env</sub>=1e-6 M_sun ) and a CO WD (M=0.735 M_sun);</p> <p><strong>J0526_[SED, RV, lc]_fit_corner.png</strong> - the corner plots for [SED, RV, light curve] MCMC fit.</p>
Data for fitting a statistical global burned area model for seamless integration into Dynamic Global Vegetation Models
<p>The dataset is a large R data.table object saved in RDS format. It contains global, monthly data spanning the period from 2002 to 2018, with a 0.5 degrees spatial resolution. The dataset is utilized to develop and validate statistical models for predicting global burnt areas resulting from wildfires.</p>
REFIT.AC v22 fire emissions for Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado"
<p>Emissions for Amazon and Cerrado biome areas generated by the Remote sensing based Emission model by FIre types - Amazon and Cerrado (REFIT.AC) for the publication Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado".</p> <p>REFIT.AC is a bookkeeping-based fire model using ESA CCI biomass, LULCC data and MODIS based fire occurrence information (burned area and active fires). </p> <p>Emission information is provided in 0.1 degree spatial resolution for dry matter (DM), CO2, CO, CH4, NOx and PM2.5, in units of g/m2/month.</p>
Data associated with the publication "Multi-decadal increase of forest burned area in Australia is linked to climate change"
<p>Data from various sources related to fires in Australian forests, associated with the publication "Multi-decadal increase of forest burned area in Australia is linked to climate change"</p>
Multidecadal satellite-derived Portuguese Burn Severity Atlas (1984 -2022)
<p>The <strong>Portuguese burn severity atlas (1984 -2022)</strong> provides satellite-derived burn severity estimates of each historical fire with its start and end dates recorded and equal to or larger than<strong>100 ha</strong> for fires from 1984 to 2022 in Portugal. The fire perimeters are provided by the Instituto da Conservação da Natureza e das Florestas (ICNF) (https://sig.icnf.pt/portal/home/item.html?id=983c4e6c4d5b4666b258a3ad5f3ea5af). <strong>Landsat </strong>imagery is applied for the creation of this atlas. The burn severity indices applied within this atlas are differenced Normalized Burn Ratio (<strong>dNBR</strong>), Relative differenced Normalized Burn Ratio (<strong>RdNBR</strong>), Relative Burn Ratio (<strong>RBR</strong>), and index combining dNBR with enhanced vegetation index (<strong>dNBR-EVI</strong>).</p> <p>Since 1984 to 2022, the total burned area recorded in Portugal is 4.85 million ha. Only <strong>valid fires</strong>, which are fires equal to or larger than 100 ha with known dates, were considered for the burn severity estimates. The total area of valid fires is 3.29 million ha. The <strong>Portuguese Burn Severity Atlas</strong> provides estimates for 3.17 million ha, accounting for 65% of all fires and <strong>96% of valid fires</strong>.</p> <p>The <strong>Portuguese burn severity atlas </strong>is organized in subfolders, each entitled as the corresponding year and containing shapefile, maps and a table with details on pairs of images used for burn severity estimates. Within each subfolder, the following data are stored:</p> <ul> <li> the annual fires’ perimeters shapefile (.dbf, .prj, .shp, .shx)</li> <li>dNBR map (.tiff)</li> <li>RdNBR map (.tiff)</li> <li>RBR map (.tiff)</li> <li>dNBR-EVI map (.tiff)</li> <li>confidence map: average “SUITABILITY in each pixel within the area of the fire (.tiff)</li> <li>comma separated value (.csv) file containing details on the pair of images used for burn severity estimates (year, ID, iteration number, pre-fire time lag(day), pre-fire cloud%, pre-fire suitability (%), post-fire time lag (day), post-fire cloud%, post-fire suitability(%), confidence in the iteration(%), area with dNBR estimation(ha), area of fire (ha), fire i number (to refer in GEE code), dNBR offset value, RdNBR offset value, RBR offset value, and dNBR-EVI offset value).</li> </ul> <p>To the best of our knowledge, <strong>Portuguese Burn Severity Atlas </strong>is the first open access atlas providing burn severity estimates of historical fires for an entire European country, in this case, <strong>Portugal</strong>, with 38 years of coverage. Target audience who can benefit from this atlas can be policymakers at national levels, field managers, project managers, and agency and academic researchers.</p> <p><strong>***</strong> The second version of this atlas provides updated fire data and burn severity estimates of fires from 1984 to 2000 with corrected dates area equal or larger than 100 ha. Moreover, for 2012, aside from burn severity estimates provided via imagery from Terra abroad Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat7-derived maps are included. </p>
Agricultural Residue Burning Emissions 2019 v1
<p>The data provides the agricultural residue burning emission estimates over 11 agroclimatic zones of Madhya Pradesh, India, for the 2019 rabi season. It also includes supplementary information used in the emission estimation for the reader's reference. </p> <p>References:</p> <p>1. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual (Volume 3)https://www.ipcc-nggip.iges.or.jp/public/gl/invs6c.html </p> <p>2. Gupta, P. K.; Sahai, S.; Singh, N.; Dixit, C. K.; Singh, D. P.; Sharma, C.; Tiwari, M. K.; Gupta, R. K.; Garg, S. C. Residue Burning in Rice-Wheat Cropping System: Causes and Implications. Curr. Sci. 2004, 87 (12).</p> <p>3. Jain, N.; Bhatia, A.; Pathak, H. Emission of Air Pollutants from Crop Residue Burning in India. Aerosol Air Qual. Res. 2014, 14 (1).<a href="https://doi.org/10.4209/aaqr.2013.01.0031"> https://doi.org/10.4209/aaqr.2013.01.0031</a>.</p> <p>4. Venkatramanan, V.; Shah, S.; Rai, A. K.; Prasad, R. Nexus Between Crop Residue Burning, Bioeconomy and Sustainable Development Goals Over North-Western India. Front. Energy Res. 2021, 8.<a href="https://doi.org/10.3389/fenrg.2020.614212"> https://doi.org/10.3389/fenrg.2020.614212</a>.</p> <p>5. Van Der Werf, G. R.; Randerson, J. T.; Giglio, L.; Collatz, G. J.; Mu, M.; Kasibhatla, P. S.; Morton, D. C.; Defries, R. S.; Jin, Y.; Van Leeuwen, T. T. Global Fire Emissions and the Contribution of Deforestation, Savanna, Forest, Agricultural, and Peat Fires (1997-2009). Atmos. Chem. Phys. 2010, 10 (23). <a href="https://doi.org/10.5194/acp-10-11707-2010">https://doi.org/10.5194/acp-10-11707-2010</a>.</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.