Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
41
datasets available to search
ShareScore release 0.7.1
Dataset results
41 results for “fire history”
KFH01 Konza prairie fire history
The Konza burn history data is downloadable by year. Watershed names and codes listed are the current watershed designations (2010). Please note that several watershed designations have changed over the history of Konza. This is inevitable due to changes in research objectives but is problematic for those wanting to discover the full burn history of a given area. In some cases watersheds have simply been renamed to reflect changes in experimental burn treatments (e.g. R20A was formerly 1A). In other cases watersheds have been subdivided or aggregated from smaller watersheds (eg. in 1994 3B3UA was added to 20A (currently R1A) to form a larger watershed). In a few cases watershed names have been moved to new areas (e.g. 1D was moved from its original location in 1978 after the acquisition of new property. The original 1D watershed is now part of WB and 20C). Investigators should consult the proper watershed map for a given year to see watershed designations at the time of burning.
Scaling landscape fire history in sagebrush: Wildfires not historically frequent in the main population of threatened Gunnison Sage-grouse
<p>The main population of ∼5,000 Threatened Gunnison sage-grouse (GUSG; Centrocercus minimus) in Colorado depends on sagebrush that are killed by wildfires, with recovery taking decades, so frequent fire is a threat, but did it occur historically? Early land surveys showed that the historical (preindustrial) fire rotation (FR), the expected period to burn area equal to a focal land area, was 90-143 years in GUSG ranges, which is not frequent fire (≤25 years). However, recent research, based on fire scars on trees at ten sites near sagebrush, suggested some frequent fire historically in the main population. That study was not spatial, essential to estimate FR, so spatial data were created in GIS with land-survey reconstructions, survey dates, fire-scar sites, Thiessen polygons around sites, and sagebrush. The previous study assumed fires that burned 2+ sites likely burned across sagebrush. Historical FRs were calculated several ways over a common period. A recovery estimate of FR was 90-135 years, a land-survey estimate 82-131 years, and three spatial scar-based estimates 93-107 years, showing agreement. However, comparing land-survey and fire-scar results showed that using fire scars spatially only 43% matched land surveys. Detailed analysis showed that 10 fire-scar sites were insufficient to detect historical fire sizes and distributions across the large 168,753 ha sagebrush area. An adequate historical fire reconstruction could require ∼45-60 fire-scar sites, making only ∼30,000 ha of sagebrush feasible. Using the two remaining methods, which cross-validate, showed frequent fire did not occur historically in the study area, as historical FRs were 82-135 years. </p>
Precipitation and fire history at landslide sites
<p>These data include precipitation and burned area histories for events listed in the NASA Global Landslide Catalog. Each landslide includes a location uncertainty estimate. Precipitation values are the mean of all values within the uncertainty radius, while the fraction burned is computed for burned area.</p> <p>These data are intended to be used with the an RMarkdown notebook available at <a href="http://doi.org/10.5281/zenodo.7653683">this GitHub repository</a></p>
Dendrochronology study of fire history, Andrews Experimental Forest and central western Cascades, Oregon, 1482-1952
Fire history is documented for an 11,000 hectare (27,110 acre) area in the western Oregon Cascades , including H. J. Andrews Experimental Forest. Fire scar and tree origin data were collected mainly from stumps at 359 sites. Thirty-five fire events are mapped from 1482 to 1952. Mean fire return intervals are derived from data at individual sites, about 5 hectares in size, rather than from the corrected master fire chronology.
Fire history database of the western United States, 1994
To create a database of existing published and unpublished tree-ring reconstructions of fire regimes in forested areas, before circa 1900, west of 100 W longitude in the continental United States, exclusive of Alaska. The studies included in the database are restricted to tree-ring reconstructions of fire history and the information extracted includes citations to the data sources, site information, estimated fire regimes, and information on individual fire events (when readily available). Fire regimes vary greatly across short distances in the western United States, so that a reconstruction of fire history over a small area may not represent the history of a larger area. Therefore, we extracted information on the size of the study area and the amount of fire evidence (number of trees scarred and/or number of tree origin dates) used in computing the fire regimes to allow the user to gauge the applicability of each reconstruction to larger areas.
Fire history reconstruction (1482 - 1952), Andrews Experimental Forest and vicinity
Fire History - H J Andrews and Vicinity (1482 - 1952) individual fires and fire frequency. Fire history studies by Peter Teensma provide the base information for this layer. Individual fire episodes were manuscripted onto HJA base maps and digitized. Fire episodes were maintained in thirty one separate polygon coverages, until Arc/Info Version 7 provided the region feature class to accomodate overlapping polygons. REGIONPOLY was used to create regions for each fire episode and then the 31 episode regions were combined using UNION. The field "AGE" = 0 means that a fire occured in the polygon. AGE = 1 means that fire was absent
Fire history dendrochronology study, super old growth data, central western Cascades, Oregon, 2002 (Giglia thesis)
The primary objectives of this study were to assay where super old-growth (SOG) persists on the landscape, what factors enabled it to survive for more than 550 years, and to develop a predictive model for the occurrence of SOG. To meet these objectives, data were synthesized from prior fire history work done in the central western Cascades of Oregon (Morrison and Swanson unpublished; Teensma 1987; Morrison and Swanson 1990; Weisberg 1998). The study involved the following steps: (1) the collection of primary data and maps from each study, (2) the creation of a master database, and (3) analysis of the synthesized data.
Plant life history data as evidence of an historical mixed-severity fire regime in Banksia woodlands
<p><i><strong>Context:</strong></i> The concept of the fire regime serves as an agreed upon template by which to inform understanding and management of fire-prone ecosystems globally. While observations from satellite imagery or palaeoecological proxy data can provide direct evidence of past fire regimes, they may be limited in temporal and/or spatial scale and are not available for all ecosystems. However, fire-related plant trait and demographic data offers an alternative approach to understand species-fire regime associations at the ecosystem scale. </p><p><i><strong>Aims:</strong></i> We aimed to quantify the life history strategies and associated fire regimes for six co-occurring shrub and tree species from fire-prone, Mediterranean climate Banksia woodlands in southwestern Australia. </p><p><i><strong>Methods:</strong></i> We collected static demographic data on size structure, seedling recruitment, and plant mortality across sites of varying time since last fire. We combined demographic data with key fire-related species traits to define plant life history strategies. We then compared observed life histories with <i>a priori</i> expectations for surface, stand-replacing, and mixed-severity fire regime types to infer historical fire regime associations.</p><p><i><strong>Key results:</strong></i> Fire-killed shrubs and weakly serotinous trees had abundant post-fire seedling recruitment, but also developed multi-cohort populations during fire-free periods via inter-fire seedling recruitment. Resprouting shrubs had little seedling recruitment at any time, even following fire, and showed no signs of decline in the long absence of fire likely due to their very long lifespans. </p><p><i><strong>Conclusions:</strong></i> The variation in life history strategies for these six co-occurring species is consistent with known ecological strategies to cope with high variation in fire intervals in a mixed-severity fire regime. While resprouting and strong post-fire seedling recruitment indicate a tolerance of frequent fire, inter-fire recruitment and weak serotiny is interpreted as a bet-hedging strategy to cope with occasional long fire-free periods that may otherwise exceed adult and seed bank lifespans. </p><p><i><strong>Implications:</strong></i> Our findings suggest that Banksia woodlands have evolved with highly variable fire intervals in a mixed-severity fire regime. Further investigations of species adaptations to varying fire size and patchiness can help extend our understanding of fire regime tolerances.</p>
Forty-year fire history reconstruction from Landsat data in Mediterranean ecosystems of Algeria (1984–2023)
<p>We present the <strong>North Eastern ALGeria Burned Area (NEALGEBA) </strong>product—a high-resolution (30 m) BA dataset spanning 40 years (1984–2023) of fire history in typical Mediterranean Ecosystems of NE Algeria. Spatially explicit annual BA maps were systematically generated from Landsat collection 2 surface reflectance product (LC2SR) using the Burned Area Mapping Tools (BAMTs V1.7) (Roteta et al., 2021). This work is part of an urgent project to create a reliable and accurate country-level BA product for Algeria.<br><br><strong>Data files<br></strong>The NEALGEBA product is provided as 40 ESRI shapefile layers in the folder with the following attributes:</p> <ul> <li>Year: burn year in YYYY;</li> <li>BAMTs_date: burn detection date in MM/DD/YYYY, where DD is the day, MM is the month, and YYYY is the year. Note that this date is determined<br>based on the most frequently occurring date (the mode) for all pixels in each detected burned patch in the Landsat post-fire composite and does<br>not imperatively correspond to the effective date of burn;</li> <li>BA_ha: burned area in hectares;</li> <li>ADM_1: Wilaya (first-order administrative division);</li> <li>ADM_2: Baladiyah (second-order administrative division).</li> </ul> <p><strong>Geographical coverage</strong><br>Top: 37.088698° N, Bottom: 36.218533° N, Left: 3.717039° E, Right: 8.683105° E</p> <p><strong>Spatial reference system</strong><br>EPSG: 4326 (WGS 1984)</p>
Figure 1 in The History of Little Fire Ant Wasmannia auropunctata Roger in the Hawaiian Islands: Spread, Control, and Local Eradication
Figure 1. Number of known locations infested with Wasmannia auropunctata on Hawaii island between 1999 and 2007. Data sourced from Conant and Hirayama (2000); Motoki et al. (Motoki et al. 2013), P. Conant (pers. com.) and informal reports from Hawaii Department of Agriculture.
Figure 4 in The History of Little Fire Ant Wasmannia auropunctata Roger in the Hawaiian Islands: Spread, Control, and Local Eradication
Figure 4. Map of Kauai showing location infested by Wasmannia auropuntata (2012). Currently this site is putatively ant free.
Figure 2 in The History of Little Fire Ant Wasmannia auropunctata Roger in the Hawaiian Islands: Spread, Control, and Local Eradication
Figure 2. Location of properties infested with Wasmannia auropunctata in January 2007 prepared by Hawaii Department of Agriculture.
Figure 6 in The History of Little Fire Ant Wasmannia auropunctata Roger in the Hawaiian Islands: Spread, Control, and Local Eradication
Figure 6. Locations of known sites on Oahu infested with Wasmannia auropunctata. (currently the infestation in Mililani and the original infestation in Waimanalo are putatively ant-free)
Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas
<p>Dataset associated with the manuscript "<strong>Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas" </strong> (Le Stradic et al.). It includes 5 different datasets and for each one we provided metadata.</p> <p>above_below_b_SBI: it includes data related to aboveground and belowground biomass. Aboveground data were collected in circular plots of 0.5m2 and belowground biomass was collected using an auger of 5cm of diameter, every 10cm up to 40cm and every 20cm up to 1m depth. See the method section in the manuscript for full details.</p> <p>below_b_wet_all_SBII: it includes data related to belowground biomass (collected in the first 1m of soil, during the wet season, January-February 2018), including values for each soil depth.</p> <p>root_trait_SBI: it includes all root functional parameters for samples collected in the first 10 cm of soil.</p> <p>Sampling_data: it includes information associated with sampling areas (localization, GPS point, fire history).</p> <p>soil.expand.SBI: it includes all soil data.</p> <p> </p> <p><strong>Abstract</strong></p> <ol> <li>Fire is a fundamental ecological factor in savannas because it affects vegetation dynamics and ecosystem functioning. However, the effects of fire on belowground compartments, including biomass and root traits, and their regeneration remain poorly understood. In this study, we assess the variation of above- and belowground plant components along fire-history gradients in Brazilian open savannas and investigate whether vegetation and soil composition changes are associated with the responses of belowground biomass and root traits.</li> <li>The study was conducted in eight sampling areas of open savanna (<em>campo sujo</em>) the Cerrado (Brazilian savannas), located along a gradient of time since the last fire (1–34 years); the number of fires that occurred within the past 34 years (0–9 fires) varied by sampling area. In each sampling area, we measured above- and belowground biomass, root depth distribution, root functional parameters, and nutrient levels in the upper soil layers (0–10 cm).</li> <li>Rapid recovery of aboveground live biomass after a fire was primarily due to resprouting of graminoids. This recovery was associated with an increase in absorptive root biomass in the upper soil layer in the most recently burnt sites, whereas root biomass was unaffected in deeper layers. Root parameters remained constant regardless of fire history but responded to variations in vegetation structure and soil resources. Specific root length (SRL) decreased with K, Mg<sup>2+</sup>, Al<sup>3+</sup>, N, and C and increased with P concentration. In contrast, root tissue density (RTD) and absorptive root proportion were negatively correlated with soil P. RTD was strongly associated with the aboveground biomass of graminoids. Soil texture impacted the root system: the proportion of absorptive root increased with fine sand content in the soil, inversely to transport root biomass. The relationship between fire and soil composition was insignificant.</li> <li><em>Synthesis</em>. In savannas, fire stimulates absorptive root biomass in response to the higher demand for belowground resources. This response is correlated with shoot regrowth after a fire. Variations in morphological root parameters are not directly associated with fire history; instead, they reflect differences in soil chemistry, especially soil P and graminoid biomass changes.</li> </ol>
Relationships of climate, human activity, and fire history to spatiotemporal variation in annual fire probability across California: Source Code and Core Data
Open the record for dataset details and reuse information.
Recent fire history enhances semi-arid conifer forest drought resistance
Open the record for dataset details and reuse information.
Archival records of fire history, 1910-1977, central western Cascades, Oregon
Historical wild fire records for the central western Cascades of Oregon are summarized here for the period from 1910 to 1977. Data records are obtained and summarized from historical statistical reports that were generated by the U.S. Forest Service and exist in various forms including fire maps, summary tables, and individual fire reports. The location, cause of the fire, its size class, and the source of information regarding each fire are included.
Data from: fire in the rainforest: a 3,200-year history of fire in a West Kalimantan, Indonesia tropical rainforest
<p>Despite its perceived historical rarity, fire is an important disturbance in tropical rainforests. Very large rainforest fires have been observed multiple times in recent decades, often during years of strong El Niño-Southern Oscillation droughts. Fire in rainforest has major short-term consequences for humans and wildlife by converting forest to fire-prone fern, shrub, and grass, but the long-term effects remain to be seen. Borneo's indigenous groups have been using fire to clear land for centuries, yet the prevalence and spatial patterns of pre-modern fire across forest types in Borneo is not well understood. This research set out to reconstruct fire in a 1500-ha primary rainforest spanning 800 m of elevation in Indonesian Borneo with the goal of elucidating the role humans have played in rainforest fire. We found that humans played an important role in the occurrence of fire in recent centuries. Evidence of fire—charcoal >2 mm—is more abundant in forest types where humans would be more likely to live and/or practice swidden agriculture. However, pyrogenic material is ubiquitous across the study area, showing that all forest types have experienced fire. A set of 50 radiocarbon dates showed that in lowland areas—where human-caused fire is most likely—fire occurred throughout the last 3,200 years, peaking 1300-1600 CE. The upland areas lacked evidence of fire before 1250 CE but otherwise had a similar pattern to the lowlands. The period of high fire coincides with regional demographic changes as well as regional droughts documented elsewhere in Southeast Asia. In upland areas, fires likely burned only under regional drought when fires could more easily spread upslope. Although forest plot studies at this site show little structural evidence of past fires, tree diversity is lower than expected in the most burned areas (alluvial benches). Thus, our results suggest that land clearance was a major source of fire, but the current intact state of these rainforests indicates that they were largely resilient to fires and land use hundreds of years ago. Recent fires mirror patterns of fire spread that occurred hundreds of years ago, though their severity and extent is likely much greater.</p>
Figure 5 in The History of Little Fire Ant Wasmannia auropunctata Roger in the Hawaiian Islands: Spread, Control, and Local Eradication
Figure 5. Locations of all known sites on Maui infested with Wasmannia auropunctata.
Short spatiotemporal fire history explains the occurrence of beetles favoured by fire
<p>This data set belongs to a study of density of firest fires and occurrence of pyrophilic beetles in southern Sweden. </p> <p>The number and area of forest fires in northern Europe has been dramatically reduced during the last century and several fire-favoured species are now threatened. To promote recovery of these species, prescribed burning is often used as a conservation measure, and to optimise the use of these conservation burns, knowledge is needed on suitable fire frequency, size, and placement in the landscape. The aim of this study was to analyse the effect of recent fire history (12 yrs) on beetles sampled using smoke attraction traps at 21 forest sites in a 10.000 km<sup>2</sup> region. We analysed the odds of finding a fire-favoured beetle species or individual among the beetles in each trap using a new spatiotemporal connectivity measure and compared the results to non-fire-favoured and saproxylic species. For fire-favoured beetles, both species and individuals significantly increased with connectivity to previous fires, while the other two groups did not. The spatiotemporal connectivity that best explained the patterns suggests that fire-favoured beetles mainly respond to fires within a 2 km range up to 2-3 years after fire. Hence, to preserve fire-favoured insects, prescribed fires must be close in space and time to other fires – whether prescribed or natural.</p> <p>https://doi.org/10.3390/insects15100775</p>
ScienceDex guides
Understand access before you commit
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.