Tabular datasets containing information related to Dall sheep fecal samples collected as part of the Dall sheep response to fire project at Kenai National Wildlife Refuge. The data contain two related tables, one with the bulk of the information related to the samples (location, date collected, etc.) and a second with information on the substrate types that the samples were collected from used to determine which samples may be best suited for laboratory analysis.

Populations of Dall sheep (Ovis dalli) have been declining in the Chugach Range, Alaska since the 1990s. Past research suggests that fire can increase the carrying capacity of habitat for Dall sheep. To learn more specifically how fire affects Dall sheep in the Kenai Mountains, we conducted a habitat use-availability study within and near the 2019 Swan Lake Fire Burn on the Kenai Peninsula, Alaska. This dataset includes vegetation data collected in 2023 as part of this project.

Populations of Dall sheep (Ovis dalli) have been declining in the Chugach Range, Alaska since the 1990s. Past research suggests that fire can increase the carrying capacity of habitat for Dall sheep. To learn more specifically how fire affects Dall sheep in the Kenai Mountains, we conducted a habitat use-availability study within and near the 2019 Swan Lake Fire Burn on the Kenai Peninsula, Alaska. This dataset includes vegetation data collected in 2023 as part of this project.

Populations of Dall sheep (Ovis dalli) have been declining in the Chugach Range, Alaska since the 1990s. Past research suggests that fire can increase the carrying capacity of habitat for Dall sheep. To learn more specifically how fire affects Dall sheep in the Kenai Mountains, we conducted a habitat use-availability study within and near the 2019 Swan Lake Fire Burn on the Kenai Peninsula, Alaska. This dataset includes vegetation data collected in 2023 as part of this project.

Populations of Dall sheep (Ovis dalli) have been declining in the Chugach Range, Alaska since the 1990s. Past research suggests that fire can increase the carrying capacity of habitat for Dall sheep. To learn more specifically how fire affects Dall sheep in the Kenai Mountains, we conducted a habitat use-availability study within and near the 2019 Swan Lake Fire Burn on the Kenai Peninsula, Alaska. This dataset includes vegetation data collected in 2023 as part of this project.

This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States where hundreds of thousands of acres burn annually as prescribed fire and wildfire. The prairie fire products provide the extent of larger prairie fires in the Flint Hills to record the occurrence of fire and can be used to identify individual burned areas within the perimeters. This product is published to provide fire information of the most fire prone ecosystems to individuals and land management communities for assessing burn extent and impacts on a time sensitive basis. The methods used to produce the prairie fire products from 2019 to present are different than Monitoring Trends in Burn Severity Program (MTBS) methods. The product is developed by running a classification tree model on Landsat and Sentinel imagery for all available image dates with visible fires and without greater than 80 percent cloud cover in the spring of each year. The model takes each image, uses all Landsat bands 2-7 or Sentinel 2b bands 2-4, 8, 11, and 12, and finds thresholds between burnt and unburnt areas to create perimeters. Fire perimeters are created by the model and no manual editing is performed. Thus, these data are 100 percent (model based) auto-generated, however, analysts do review and remove small polygons less than 3 acres. The Prairie Fire dataset will include multi-part polygons and have one record for each source image date. These new methods are optimized to efficiently map and characterize the large number of fires that occur in this region on an annual basis. Prior to 2019, the standard MTBS fire mapping methods were used. Because of the unique frequency and extent of fire in this prairie biome, these fire products are now delivered through the Burn Severity Portal and are no longer included as part of the MTBS products unless a fire is identified in IRWIN, NFPORS or a legacy federal fire occurrence database. The provided data products will vary slightly based on the mapping methodology applied at the time of fire occurrence (pre-2019 or 2019 and later). This map layer is a vector point shapefile of fires occurring three acres and greater in size between calendar year 2009 and 2024 for the Flint Hills Ecoregion.

This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States where hundreds of thousands of acres burn annually as prescribed fire and wildfire. The prairie fire products provide the extent of larger prairie fires in the Flint Hills to record the occurrence of fire and can be used to identify individual burned areas within the perimeters. This product is published to provide fire information of the most fire prone ecosystems to individuals and land management communities for assessing burn extent and impacts on a time sensitive basis. The methods used to produce the prairie fire products from 2019 to present are different than Monitoring Trends in Burn Severity Program (MTBS) methods. The product is developed by running a classification tree model on Landsat and Sentinel imagery for all available image dates with visible fires and without greater than 80 percent cloud cover in the spring of each year. The model takes each image, uses all Landsat bands 2-7 or Sentinel 2b bands 2-4, 8, 11, and 12, and finds thresholds between burnt and unburnt areas to create perimeters. Fire perimeters are created by the model and no manual editing is performed. Thus, these data are 100 percent (model based) auto-generated, however, analysts do review and remove small polygons less than 3 acres. The Prairie Fire dataset will include multi-part polygons and have one record for each source image date. These new methods are optimized to efficiently map and characterize the large number of fires that occur in this region on an annual basis. Prior to 2019, the standard MTBS fire mapping methods were used. Because of the unique frequency and extent of fire in this prairie biome, these fire products are now delivered through the Burn Severity Portal and are no longer included as part of the MTBS products unless a fire is identified in IRWIN, NFPORS or a legacy federal fire occurrence database. The provided data products will vary slightly based on the mapping methodology applied at the time of fire occurrence (pre-2019 or 2019 and later). This map layer is a vector point shapefile of fires occurring three acres and greater in size between calendar year 2009 and 2024 for the Flint Hills Ecoregion.

This terrestrial mammal trapping and spotlighting data package comprises time series data for 11 mammal species at 97 long-term sites in south-eastern Australia. Observations were made between 2003 and 2013. The objectives of this research were to identify which fire regime attributes affect temporal change in the presence and abundance of Australian native mammals. In the associated research publication, the researchers explored how temporal aspects of fire regimes influenced both the presence and the conditional abundance of species. The key fire regime components examined as part of the research were: (i) severity of a major fire in 2003, (ii) the interval between the last major fire (2003) and the fire prior to that, and (iii) number of past fires. This long-term dataset has enabled quantification of the interactions between survey year and each fire regime variable, an ecological relationship notably missing from temporally-restricted studies. In summary, multiple aspects of fire regimes influenced temporal variation in the presence and abundance of mammals. The best models indicated that 6 of the 11 species responded to two or more fire regime variables, with two species influenced by all three fire regime attributes. Almost all species responded to time since fire, either as an interaction with survey year or as a main effect. Fire severity or its interaction with survey year was important for most terrestrial rodents. The number of fires at a site was significant for species of terrestrial rodents and several other species. Key findings contain evidence of the effects on native mammals of heterogeneity in fire regimes. Refer to the relevant research paper for more detail. The Jervis Bay Plot Network study forms part of the collection of data packages by this plot network. A synopsis of related data packages which have been collected as part of the Jervis Bay Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/jervis-bay-booderee-national-park.

The U. S. Fish and Wildlife Service (FWS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a vector Fire Occurrence dataset which contains point locations of all currently inventoried fires occurring between calendar year 1983 and 2014. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

The data are the primary mutagenicity data (revertants/plate) for each dose (ml-equivalent/plate) of organic extract of urine from the firefighters. This dataset is associated with the following publication: Wu, C., S. Warren, D. DeMarini, C. Song, and O. Adetona. Urinary Mutagenicity and Oxidative Status of Wildland Firefighters Working at Prescribed burns in a Midwestern U.S. Forest. OCCUPATIONAL AND ENVIRONMENTAL MEDICINE. BMJ / British Medical Journal Publishing Group, London, UK, 78(5): 315-322, (2021).