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1,989 results for “Fires”

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zenodo40/100

Figures 11–12 in Sundapyrochroa: A new genus of Fire-Colored Beetles (Coleoptera: Pyrochroidae: Pyrochroinae) from the Sunda Shelf, with a key to the three species

Figures 11–12. Sundapyrochroa sumatrensis (Pic). 11) Head, adult male, dorsal. 12) Habitus, adult female, dorsal.

opencc-by-4.0Jan 2014View details →
zenodo40/100

Figures 13–21 in Sundapyrochroa: A new genus of Fire-Colored Beetles (Coleoptera: Pyrochroidae: Pyrochroinae) from the Sunda Shelf, with a key to the three species

Figures 13–21. Three species of Sundapyrochroa. 13) S. atricolor (Pic), abdominal sternite eight. 14) S. atricolor (Pic), tegmen, dorsal. 15) S. atricolor (Pic), penis, dorsal. 16) S. nigripennis (Pic), abdominal sternite eight. 17) S. nigripennis (Pic), tegmen, dorsal. 18) S. nigripennis (Pic), penis, dorsal. 19) S. sumatrensis (Pic), abdominal sternite eight. 20) S. sumatrensis (Pic), tegmen, dorsal. 21) S. sumatrensis (Pic), penis, dorsal.

opencc-by-4.0Jan 2014View details →
zenodo40/100

Figures 1–3 in Sundapyrochroa: A new genus of Fire-Colored Beetles (Coleoptera: Pyrochroidae: Pyrochroinae) from the Sunda Shelf, with a key to the three species

Figures 1–3. Sundapyrochroa atricolor (Pic). 1) Habitus, adult male, dorsal. 2) Left antenna, lateroventral. 3) Habitus, adult female, dorsal.

opencc-by-4.0Jan 2014View details →
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Figures 22–23 in Sundapyrochroa: A new genus of Fire-Colored Beetles (Coleoptera: Pyrochroidae: Pyrochroinae) from the Sunda Shelf, with a key to the three species

Figures 22–23. Two species of Pyrochroidae. 22) Dendroides canadensis Latreille, habitus adult male, dorsal. 23) Sinodendroides chinensis Young, habitus adult male, dorsal.

opencc-by-4.0Jan 2014View details →
zenodo40/100

Figures 7–8 in Sundapyrochroa: A new genus of Fire-Colored Beetles (Coleoptera: Pyrochroidae: Pyrochroinae) from the Sunda Shelf, with a key to the three species

Figures 7–8. Sundapyrochroa nigripennis (Pic). 7) Head, adult male, dorsal. 8) Left antenna, dorsolateral.

opencc-by-4.0Jan 2014View details →
zenodo40/100

ProbFire: a probabilistic fire early warning system for Indonesia

<p>This repository holds ProbFire model input datasets and pre-trained model weights and feature scaling parameters. Model code and description is available at https://github.com/ToFEWSI/ProbFire.</p>

opencc-by-4.0Aug 2021View details →
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Fig. 4 in Animal use of rehabilitated formerly fire damaged peat-swamp forest in western Sabah, Malaysia

Fig. 4. Temporal activity patters for the nine most frequently photographed animal species in the northern part of Klias Forest Reserve, Sabah, Malaysia. Rehabilitated forest (L); Intact forest (R). Black bars indicate nocturnal activity; dotted bars indicate diurnal activity. Number in parenthesis represents number of independent camera trap records.

opencc-by-4.0Nov 2019View details →
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Fig. 3 in Animal use of rehabilitated formerly fire damaged peat-swamp forest in western Sabah, Malaysia

Fig. 3. The observed species accumulation curves in rehabilitated forest (solid lines) versus intact forest (dashed lines) and their 95% Confidence Intervals for all animals detected (L) and for mammal species only (R) in Klias Forest Reserve. The curves were constructed using an abundance-based rarefaction approach with 100 randomisation runs in EstimateS (Colwell, 2013).

opencc-by-4.0Nov 2019View details →
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Fig. 1 in Animal use of rehabilitated formerly fire damaged peat-swamp forest in western Sabah, Malaysia

Fig. 1. Klias Forest Reserve and Binsulok Forest Reserve located in the Klias Peninsula in south-western Sabah, northern part of Malaysian Borneo (inset).

opencc-by-4.0Nov 2019View details →
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Fig. 2 in Animal use of rehabilitated formerly fire damaged peat-swamp forest in western Sabah, Malaysia

Fig. 2. Maps of the Normalised Difference Vegetation Index (NDVI) of the northern part of Klias Forest Reserve indicating the burnt forest areas (white) in 1998 (L) and the same study area in 2016 including oil palm plantations (white) in the north and eastern part of the reserve (R). Red circles indicate locations of camera trapping points in rehabilitated/burnt areas; Yellow circles indicate locations of camera trapping points in intact/unburnt areas.

opencc-by-4.0Nov 2019View details →
zenodo40/100

MCMC samples from an analysis reported in a paper titled "A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium"

<p>These data are posterior samples from an MCMC used to estimate parameters for a Bayesian state-space time-series regression model. They are products of an analysis reported in &quot;A Song of Neither Ice nor Fire: Temperature extremes had no impact on violent conflict among European societies during the 2nd millennium&quot;, an academic paper that has recently been submitted for peer review. We have archived the MCMC samples here in order to facilitate peer review, replication, and open science.</p> <p>The samples are stored in .RData format (matrices when loaded into an R environment) and the R code used to produce them is provided in a GitHub repo (https://github.com/wccarleton/extreme-conflict). Each .RData file contains a matrix called &quot;samples&quot;. The columns of the matrix are each an MCMC chain for a given (column name) model parameter monitored during the MCMC simulation. See the aforementioned GitHub repo for more details.<br> <br> &nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas

<p>Dataset associated with the manuscript &quot;<strong>Variation in biomass allocation and root functional parameters in response to fire history in Brazilian savannas&quot; </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>&nbsp;</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&ndash;34 years); the number of fires that occurred within the past 34 years (0&ndash;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&ndash;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>

opencc-by-4.0Dec 2020View details →
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Dataset for "Fire in lichen-rich subarctic tundra changes carbon and nitrogen cycling between ecosystem compartments but has minor effects on stocks"

<p>Data that support the findings of the study&nbsp; &quot;Fire disturbance&nbsp;promotes&nbsp;biodiversity of plants, lichens and birds in the Siberian subarctic tundra&quot;.</p>

opencc-by-4.0Oct 2021View details →
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Data and code for: Roost selection by male northern long-eared bats (Myotis septentrionalis) in a managed fire-adapted forest

<p>Data and code for: Roost selection by male northern long-eared bats (<em>Myotis septentrionalis</em>) in a managed fire-adapted forest</p>

opencc-by-4.0May 2019View details →
dryad40/100

Surface measurement data of polished LTCC: Characterization of pores in polished low temperature co-fired glass-ceramic composites for optimization of their micromachining

<p>Pores are intrinsic defects of ceramic composites and influence their functional properties significantly. Their characterization is therefore a pivotal task in material and process optimization. It is demonstrated that polished section analysis allows for obtaining precise information on pore size, shape, area fraction, and homogeneous distribution. It is proven that laser scanning microscopy provides accurate height maps and is thus an appropriate technique for assessing surface features. Such data is used to compare areas with good and poor polishing results, and various surface parameters are evaluated in terms of their informative value and data processing effort. The material under investigation is a low-temperature co-fired ceramic composite. Through statistical analysis of the data, the inclination angle was identified as an appropriate parameter to describe the polishing result. By using masked data, direct conclusions can be drawn about the leveling of load-bearing surface areas, which are crucial in photolithographic processing steps and bonding technology. A broad discussion of different defects based on the results contributes to a critical analysis of the potentials and obstacles of micromachining of low-temperature cofired ceramic substrates.</p>

opencc-zeroNov 2022View details →
zenodo40/100

Data and code for "increasing aridity causes larger and more severe forest fires across Europe"

<p>###&nbsp;Data and code for &quot;increasing aridity causes larger and more severe forest fires across Europe&quot;</p> <p>This repository holds code and data for the publication in GCB entitled: Increasing aridity causes larger and more severe forest fires across Europe (manuscript accepted)</p> <p>&nbsp;</p> <p># scripts</p> <p>all scripts are in the folder &quot;lib&quot;. In order to perform the full analysis, please follow through all scripts.<br> we provide the results of some steps in order to reduce runtime for the user. we indicate this in the headings of the scripts.</p> <p>1. in the first script we prepare the ERA5-Land data. The code for the download is provided.<br> The user needs a CDS API for downloading.</p> <p>2. the data from the ERA5-Land summer VPD is extracted for the fire complexes</p> <p>3. calculation of the maximum fire size to total burned area relationship</p> <p>4. the models are calibrated and compared. In this script the figure 3 and 4 are created&nbsp;</p> <p>5. preparation of the future climate dataset. Again, the script for the download is provided but the user needs an API.</p> <p>6. Extraction of the CMIP6 VPD.</p> <p>7. Future climate analysis</p> <p>8. Plotting of all figures that were not done in the previous scripts</p> <p><br> # data</p> <p>climate: we provide the climate grid. all other climate data can be downloaded following the instructions within the scripts.</p> <p>complexes: we provide the fire complexes of each country. This data contains all information needed for the analysis including year, size, severity and polygon information. The complexes are based on the data from Senf &amp; Seidl, 2021 (https://doi.org/10.1038/s41893-020-00609-y) which can be downloaded here:&nbsp;https://doi.org/10.5281/zenodo.7080016</p> <p>countries: we provide the shapefiles of each country and Europe that are needed for the analysis in this folder.</p> <p>ecoregions: Olson et al. terrestrial ecosystems should be downloaded from: https://www.arcgis.com/home/item.html?id=be0f9e21de7a4a61856dad78d1c79eae</p> <p>models: we provide all final models used for the analysis.</p> <p>results: we provide the results of the individual steps. This should help to reduce the runtime for the user.</p> <p>&nbsp;</p> <p># additional information</p> <p>R version 3.6.3 (2020-02-29)<br> Platform: x86_64-pc-linux-gnu (64-bit)<br> Running under: Ubuntu 18.04.5 LTS</p>

opencc-by-4.0Nov 2022View details →
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Fig. 2 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 2. Changes in the number of salamander larvae and rainfall. The bold black continuous line shows the mean number of salamander larvae detected during the surveys in the three 10 day intervals of months in Hűvös-ér stream, 2011–2014. The bar graph shows the mean amount (and SD) of precipitation (mm) during the three 10-day intervals of months

opencc-by-4.0Oct 2022View details →
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Fig. 3 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 3. Mean density of salamander larvae (number of larvae/m2) detected in the 16 segments during surveys every 10 days in "Hűvös-ér" stream, 2011–2014 (2011: thin line, 2012:

opencc-by-4.0Oct 2022View details →
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Fig. 5 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 5. Mean number of salamander larvae detected per a year in the "releasing" 2–6 upper segments (continuous bold line), in the "strong collector" middle segments: 7–9 (dashed line) and the "weak collector" lower segments: 10–13 (dotted line) during surveys every 10 days in "Hűvös-ér" stream between 2011–2014. Data from segment 1 have not been plotted because larvae were present at only one time point

opencc-by-4.0Oct 2022View details →
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Fig. 1 in Larval Development And Habitat Usage Of Stream-Breeding Fire Salamanders In An Urban Environment

Fig. 1. Segments of "Hűvös-ér" stream, where Salamandra salamandra larvae were surveyed. (Numbers indicate individual stream segments, bold meandering line = main branch of the stream, thin branch- ing line = tributaries of the stream, straight lines = segment boundaries, four-pointed stars at segment boundaries and in the stream bed = water steps, double line = main road between Budapest and Solymár, P = "Paprikás"-stream)

opencc-by-4.0Oct 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record