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.
1,989
datasets available to search
ShareScore release 0.9.0
Dataset results
1,989 results for “Fires”
Forest Fire Dataset for Peninsular Malaysia (2001-2023) Extracted from Multiple-Source Remote Sensing Data using Google Earth Engine
<ul> <li>Dataset: Forest Fire data</li> <li>Time Period: 2001 to 2023</li> <li>Location: Peninsular Malaysia</li> <li>Historical Fire Source: MCD64A1 and FIRMS Hotspots</li> <li>Fire Factors Extracted: Global Remote Sensing Data from GEE</li> </ul> <p>The framework extraction process can be reffered from the following publication:</p> <ul> <li>Framework to Create Inventory Dataset for Disaster Behavior Analysis Using Google Earth Engine: A Case Study in Peninsular Malaysia for Historical Forest Fire Behavior Analysis</li> <li>Journal: <em>Forests</em> <strong>2024</strong>, <em>15</em>(6), 923;</li> <li><a href="https://doi.org/10.3390/f15060923">https://doi.org/10.3390/f15060923</a></li> <li>The variables name such as AET (actual evapotranspiration) can be found from the article.</li> </ul> <p>Access the framework code from: </p> <ul> <li><a href="https://github.com/chewyeejian/GEE_FrameworkForestFireDataset">https://github.com/chewyeejian/GEE_FrameworkForestFireDataset</a></li> </ul> <p>The time sequence in the variable indicate whether it's a monthly data / yearly accumulated data / seasonal data, example:</p> <ul> <li>200101_aet (Year 2001, Month 01, value for aet (actual evapotranspiration)</li> <li>2001_aet_DJF (Average of December, January, February)</li> <li>2001_aet_MAM (Seasonal Average of March, April, May)</li> <li>2001_aet_JJA (Seasonal Average of June, July, August)</li> <li>2001_aet_SON (Seasonal Average of September, October, November)</li> <li>2001_aet_annual (Annual average of 2001)</li> </ul>
Quit bugging me: Phorid fly parasitoids affect expression of an immune gene in foraging fire ant workers
<p>This data contains RT-qPCR and diet measurements for quantifying gene expression of red imported fire ant, <em>Solenopsis invicta </em>workers in the presence and absence of the parasitoid fire ant decapitating fly, <em>Pseudacteon curvatus</em>, and assessing the amount of food after exposure to <em>P. curvatus</em>, respectively. The genes investigated were the <em>Solenopsis invicta</em> <em>foraging gene</em> (<em>Sifor</em>), <em>odorant binding protein 11 </em>(<em>OBP-11</em>), <em>abaecin, defensin-2 </em>(<em>Def-2</em>),<em> cytochrome P450 4C1-like </em>(<em>CYP4C1-like</em>), and <em>hymenoptaecin </em>(<em>hym</em>)<em>. Ribosomal Protein 18</em> (<em>RPL18</em>) was used as the reference gene. These genes of <em>S. invicta</em> workers of unknown infection status in fire ant colonies exposed to decapitating flies and control colonies were observed over a 48-h period. Two diets were measured before and after in control and treatment colonies (i.e., colonies exposed to <em>P. curvatus</em>).</p>
Fig. 5 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 5. Invasive fish Perccottus glenii from pond of B.bombina (Ainavas).
Fig. 6. B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 6. B.bombina populations found in Latvia before and after BAP.
Fig. 1. B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 1. B.bombina tadpoles in aquaculture in the Latgales Zoo.
Fig.3 in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig.3. Two new micro-reserves Strauti and Katriniski, established for B.bombina after BAP.
Fig. 4. Optimized pond for B in Action Plan For The Fire-Bellied Toad Bombina Bombina In Latvia: Assessment Of The Implementation For Ten Years, Releasing From Aquaculture And Restoration Of Habitats In 2006-2016
Fig. 4. Optimized pond for B.bombina population in Katriniski.
Figure 2 in The Pantanal is on fire and only a sustainable agenda can save the largest wetland in the world
Figure 2. Wildfire in Pantanal: 1 – firefighter; 2, 3 – burned area; 4, 5, 6 - dead animals.
Figure 1. Pantanal burned area per year until 9 in The Pantanal is on fire and only a sustainable agenda can save the largest wetland in the world
Figure 1. Pantanal burned area per year until 9/25/2020.
Plant trait matrix for fire-prone Mediterranean chronosequences
<p>A database of 23 traits for 117 Mediterranean plant species. It includes three groups of traits: i) four whole-plant traits (bud height, sclerophylly, xerophily and resprouting ability), ii) ten above-ground traits (plant height, flowering time and span, leaf size, area, weight, thickness, specific leaf area, seed size and dispersal distance), and iii) nine below-ground traits (root length, depth, laterality, root depth:laterality ratio, root weight, specific root length, root C and N concentration and the root CN ratio).</p>
Assessment of the Effectiveness of Coarse Resolution Fire Products in Monitoring Long-term Changes in Fire Regime within Protected Areas in South Africa
<p>The dataset includes fire histrory (shapefiles with data perimeters for 2003-2020) within 3 protected areas in South Africa, Blyde, Manyeleti, and Songimvelo.</p>
dataset for: Fire activity and drought increases ozone-plant damage to the Amazon rainforest.
<h3>Abstract</h3> <div> <p><strong>This dataset relates to work undertaken for publication 'Fire activity and drought increases ozone-plant damage to the Amazon rainforest.'</strong></p> <p><strong>Datasets and jupyter notebooks allow the figures and data to be reproduced.</strong></p> <p> </p> <p><strong>ABSTRACT: </strong>Human activity is exposing the Amazon rainforest to increasing stressors, including plant damage due to elevated ozone (O<sub>3</sub>) pollution. O<sub>3</sub>-plant damage reduces plant photosynthesis and the land carbon sink thus increasing atmospheric CO<sub>2</sub>. Factors that control O<sub>3</sub>-plant damage in the Amazon have not been characterised so damage may be exacerbated by recurrent extreme drought and fires. We identify drivers of interannual variability in O<sub>3</sub>-plant damage using a land surface model validated against satellite products. We find that O<sub>3</sub>-plant damage increases with fire activity, with additional interactive effects during major droughts. The indirect increase in atmospheric CO<sub>2</sub> from fire-driven O<sub>3</sub>-plant damage is ~50% the magnitude of direct CO<sub>2</sub> emissions from fires in non-drought years, suggesting the negative impact of fires on the Amazon carbon budget is severely underestimated. During droughts, leaves close their stomata, which reduces O<sub>3</sub> uptake and should protect against O<sub>3</sub> damage. However, due to higher fire activity, and elevated O<sub>3</sub> concentrations, O<sub>3</sub>-plant damage during droughts is up to 77 Tg-C (or over 2 times) greater than average. As droughts are set to become more frequent, our results demonstrate that high fire activity associated with drought increases the O<sub>3</sub>-plant damage risk to the rainforest, especially in remote areas.</p> </div>
IoT Sensor Deployment in the Wildland Urban Interface: Leveraging Fire Risk Analysis
<p>Included here are individual burn maps used for evaluating algorithm results in the paper: IoT Sensor Deployment in the Wildland Urban Interface: Leveraging Fire Risk Analysis. This paper will be presented at the IEEE World Forum on Internet of Things in November 2024 and available on IEEE Xplore after that.</p> <p>Also included are maps of fuel load and elevation (geotifs) and the daily weather (in .csv format) for the region of interest used in the burn probability simulator Burn-P3+ to generate the individual burn maps.</p> <p>This paper investigates various algorithms for distributing Internet of Things sensors within the Wildland-Urban Interface to enhance early wildland fire detection. Utilizing geospatial data analysis and a validated wildland fire growth model burn maps were generated to guide sensor placement strategies across a defined region of interest. The algorithms evaluated include an even grid distribution, random distributions, and genetic algorithm-based methods. Each algorithm was tested against 50,000 selected burn maps to assess detection rates, with sensor counts ranging from 50 to 800 across 500 experimental runs. Results indicate that while the even grid distribution yielded the highest detection rates, the practicality of such a method in real-world applications is limited. Genetic algorithms showed promise, but require further exploration to more accurately simulate random distribution used in field deployment. Surprisingly, weighting sensor placement based on wildland fire growth risk did not significantly impact detection effectiveness, suggesting the need for additional research into the representativeness of selected burn maps.</p> <p>Partial code for the sensor deployment algorithms discussed in the above mentioned paper is <a href="https://github.com/richardjpurcell/sensor-deployment-algorithms">available on GitHub</a>.</p>
Time Allocation for Disinfecting 50 L of Water Over a Traditional Fire vs the InStove Water Purifier in Mbale, Uganda
<p>A chronological time-allocation comparison of tasks performed while disinfecting 50 L of water over a traditional open fire vs the InStove Water Purifier</p>
TGA data for the manuscript "Synergistic fire-retardancy properties of melamine coated ammonium poly(phosphate) in combination with rod-like mineral filler attapulgite for polymer-modified bitumen roofing membranes"
<p>The file "SynergisticFireRetardencyPaper_data" containns the raw data and data tretment used in the manuscript<br> "Synergistic fire-retardancy properties of melamine coated ammonium poly(phosphate) in combination with rod-like mineral filler attapulgite for polymer-modified bitumen roofing membranes" for the the TGA part of the work.<br> The file "TGA_Data_and_Data_treatment.xls" contains the TGA raw data used in the manuscript and the recaluclation to a common temperature scale. The file "TGA_plots_20180611.opju" caontian the contruction of the plots shown in the paper.</p> <p> </p>
Sequencing data: Fungi, fire and insects: Protea infructescences as reservoirs for fungal biodiversity in fire-prone environments
<p>This is the dataset for a submitted manuscript entitled "Fungi, fire and insects: <em>Protea</em> infructescences as reservoirs for fungal biodiversity in fire-prone environments".</p> <p>The upload contains all forward and reverse paired end .fastq files. The files are already demultiplexed. The metadata.xlsx file contains sample information, gps coordinates, etc.</p> <p> </p>
FIRE 2018 IRMiDis track dataset: Fact-checkable tweets posted during disasters
<p>This is the dataset used for the <a href="http://fire.irsi.res.in/fire/2018/home">FIRE 2018</a> track on Information Retrieval from Microblogs during Disasters (IRMiDis). </p> <p>The dataset contains ~50K tweets (microblogs) and ~6.8K news articles posted after the 2015 Nepal earthquake. The dataset can be used for tasks such as: (i) Identifying fact-checkable tweets from among tweets posted during a disaster -- the dataset includes a gold standard set of fact-checkable tweets, (2) Identifying news articles supporting / opposing a fact-checkable tweet, etc. </p>
Datasets for Communicating Wildland Urban Interface Fire Risk
<p>Wind and Fire Danger daily data for years 2007, 2012 and 2017 with relevant MATLAB codes to extract the data.</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.
Figure 1 in Field Test for Repellency of Cedarwood Oil and Cedrol to Little Fire Ants
Figure 1. Treated chopstick placement on a macadamia tree branch.
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.