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.
942
datasets available to search
ShareScore release 0.9.0
Dataset results
942 results for “Scenarios”
FIGURE 5 in A new species of Deltamys Thomas, 1917 (Rodentia: Cricetidae) endemic to the southern Brazilian Araucaria Forest and notes on the expanded phylogeographic scenario of D. kempi
FIGURE 5. Dorsal (upper), ventral (middle) and flank (bottom) views of skins of Deltamys araucaria sp. n. (holotype, FURB 20296; above) and Deltamys kempi (FURB 20308). Bar = 20 mm.
Artifacts for the paper "Automated and Complete Generation of Traffic Scenarios at Road Junctions Using a Multi-level Danger Definition"
<div> <div> <div>This deposit contains measurement data and additional artifacts pertaining to the "<em>Automated and Complete Generation of Traffic Scenarios at Road Junctions Using a Multi-level Danger Definition</em>" paper. The deposit is structured as follows:</div> <br> <div>Data pertaining to <strong>RQ1</strong> is found in the <em>baseline-comparison/</em> directory, which contains (1) statistics measured during scenario generation and (2) data analysis results for both our proposed approach (which we name <em>complete</em>) and the baseline <em>Scenic</em> approach, including statistical significance data.</div> <br> <div>Data pertaining to <strong>RQ2-4</strong> and to the following <strong>Discussion</strong> is found in the following three directories.</div> </div> </div> <div> </div> <ul> <li><em>0-generated-scenarios/ </em>contains (1) the generated abstract scenario specifications (i.e. maneuver instance and path region assignments) and (2) concrete scenarios represented in an `xml` format that are executable through the <a href="https://github.com/carla-simulator/scenario_runner">CARLA Scenario Runner</a> framework.</li> <li><em>1-simulation-results/ </em>contains the simulation results for our measurement runs. We include simulation traces, which show the exact position of each actor at each frame, in a human-readable, textual format. We also include result analysis (i.e. pertaining to simulation runtime, outcome, preventive maneuvers, etc.) within `measurements.json` files.</li> <li><em>2-generated-figures/ </em>contains figures derived from the contents of <em>1-simulation-results/</em> (including additional figures not included in the publication).</li> </ul> <div>All the code of the proposed scenario generation approach is implemented as extensions to the <a href="https://github.com/ArenBabikian/concretize">Concretize</a> framework (for scenario generation and analysis), and to the <a href="https://github.com/ArenBabikian/transfuser/tree/complete-gen">Transfuser</a> repository (for simulation). <a href="https://github.com/ArenBabikian/concretize">Concretize</a> is available under the <a href="https://www.eclipse.org/legal/epl-2.0/">Eclipse Public License - v 2.0</a>, while <a href="https://github.com/autonomousvision/transfuser">Transfuser</a> is available under the <a href="https://opensource.org/license/mit">MIT License</a>.</div>
Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 9 for Filament
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 7 for Southern Hemisphere Winter
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 4 for Volcanic Eruption
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 5 for Stratospheric Sudden Warming
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 3 for Biomass Burning for Limb Nadir application
Open the record for dataset details and reuse information.
Case Study Scenarios (CSS) 1 for OSSE of tropopause fold
<p>These are the simulated CAIRT ozone profiles for the period 15/Nov/2021-1/Feb/2022 using, in the following order:</p><ul><li>CAMS hlqd control run simulation as reference ozone field</li><li>sim_CAIRT_grid.py to generate CAIRT retrieval grid (i.e. the geolocation of the CAIRT profiles)</li><li>BASCOE_MAO to interpolate CAMS hlqd 3-hourly output at CAIRT geolocation</li><li>FL2S to perturb CAMS@CAIRT ozone according to CAIRT expected performences (using the AK, the systematic and the random error) and add error bar to the ozone profiles.</li></ul><p>These are the ozone profiles assimilated by BASCOE for the Observing System Simulation Experiment (OSSE) discussed in CAIRT Report for Assessment (RfA).</p>
Event-based vision datasets for pedestrian detection in urban scenarios
<p>Datasets supporting the Spiking Perception and processing for Intelligent Detection of pEdestrians on urban Roads (SPIDER) Project. The codebase is available on Gihub at <a href="https://github.com/th-nuernberg/spider">https://github.com/th-nuernberg/spider</a>.<br><br>In Project SPIDER, we propose a novel solution for urban road surveillance using event-based neuromorphic cameras (i.e. Dynamic Vision Sensors – DVS), neural algorithms, and embedded neuromorphic computing platforms (i.e. Brainchip Akida). The solution is described by rapid detection and identification of abnormal activities, typically describing roadside pedestrian and bicyclist dynamics.<br><br>In order to train the detection system, we decided to use DVS camera events. To also obtain ground truth information we added a traditional CMOS camera on the mount with a preset offset capturing the same field of view. The CMOS frames were only used as support in the labeling process and were not included in the training of the system, the testing, or the evaluation, respectively. We have chosen two locations with different properties of the road, the number of pedestrians and bicyclists, and overall different traffic properties. </p><p><strong>The SPIDER project is an award-winning edge solution for the </strong><a href="https://www.tinyml.org/event/tinyml-hackathon-2023-pedestrian-detection/"><strong>TinyML Vision Zero San Jose Hackathon</strong></a><strong>. The project placed 2nd among 29 teams in the world in the final. The final pitch is available at </strong><a href="https://www.youtube.com/watch?v=ZhBCtfalcOk&t=2872s">https://www.youtube.com/watch?v=ZhBCtfalcOk&t=2872s</a></p><p> </p><p><i>Dataset archive content:</i></p><p> </p><p><strong>Dataset location 1</strong></p><p>• 4 lanes (4 per direction) wide street</p><p>• Location: https://goo.gl/maps/JaYGwaTaBHj5H6SL9</p><p>• 50 kmh (urban) speed limit</p><p>• Near the university campus with Pedestrians (people walking) and bicyclists (people biking, scooting, rolling, etc.)</p><p>• Ideal Operating Environment<br> </p><p><br><strong>Dataset location 2</strong></p><p>• 8 lanes (4 per direction) wide street</p><p>• Location: https://goo.gl/maps/jar6AjysZiM2LP5S7</p><p>• 50 kmh (urban) speed limit</p><p>• Near the main train stations of the city and a location with Pedestrians (people walking, running, or jogging), and cyclists (people biking, scooting, rolling, etc.)<br><br> </p><p><strong>Dataset location 3</strong></p><p>• 6 lanes (3 per direction) wide street on the bridge</p><p>• Location: https://goo.gl/maps/SEEsmpgmLPcD8fG7A</p><p>• 50 kmh (urban) speed limit</p><p>• Near ring street of Munich and a location with Pedestrians (people walking, running, or jogging) and bicyclists (people biking, scooting, rolling, etc.)</p><p>• Night-time data acquisition <br><br> </p>
NEUMOBACT checklist about infection-prevention performance of intensive care nurses in simulation-based scenarios
<p>To design, develop and validate a new tool, called NEUMOBACT, to evaluate critical care nurses' knowledge and skills in ventilator-associated pneumonia (VAP) and catheter-related bacteraemia (CRB) prevention through simulation scenarios involving central venous catheter (CVC), endotracheal suctioning (ETS) and mechanically ventilated patient care (PC) stations.</p>
CAIRT/IASI-NG+S5/CAIRT+IASI-NG+S5 FL2S results of Case Study Scenario (CSS) 9 for filament for limb-nadir application
<p>Results of the fast level-2 simulator (FL2S) for Case Study Scenarios 9 (only Ozone files) for limb-nadir application. 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') and additional application of noise ('_aknoi') for CAIRT alone, IASI-NG + Sentinel 5 (Sentinel 5 only during day time), and the combined product CAIRT+IASI-NG+Sentinel 5.</p>
Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming
<p>This dataset supports the original research article on “<strong>Framework for comparing urban emissions and land use efficiency scenarios to avoid increments of global warming</strong>” (Kılkış, forthcoming). <br><br>A total of 28 datasheets are involved in this dataset that is organised into four main domains as follows: </p> <ol> <li>The first domain with 3 datasheets contains urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) on an annual basis. The data is summed to obtain cumulative urban emissions between 2020 and 2050 per urban area for 465 urban areas.</li> <li>The second domain with 9 datasheets provides the quantification of the original parameter on contributions to increments of global warming based on cumulative urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) between 2020 and 2050. The best estimate of the transient climate response to cumulative carbon dioxide (CO<sub>2</sub>) emissions (TCRE) and its 5-95th percentile range are considered within the quantifications of this analysis.</li> <li>The third domain with 4 datasheets has the annual CO<sub>2</sub> sequestration penalties of four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best). Data is summed for cumulative CO<sub>2</sub> sequestration penalties between 2020 and 2050 per urban area for 135 urban areas.</li> <li>The fourth domain with 12 datasheets contains the quantification of the original parameter on contributions to increments of global warming based on CO<sub>2</sub> sequestration penalties for four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best) between 2020 and 2050. The analysis is based on the best estimate of TCRE as well as its 5-95th percentile range.</li> </ol> <p>The data structure is described in the information sheet and the 28 datasheets contain 292,100 cells in total. The method and results that utilise the data are described in the original article submitted to <em>Energy</em>. The dataset of this research article should be cited as: Kılkış (2023), Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming (v1.0.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.10407848">https://doi.org/10.5281/zenodo.10407848</a></p>
Data from: Effects of mixing litter on decomposition under three exposure scenarios
<p>The effect of mixing litter on decomposition has received considerable attention in terrestrial and aquatic (but rarely in both) ecosystems, with a striking lack of consensus in the obtained results. We studied the decomposition of a mixture of poplar and alder in three terrestrial:aquatic exposures to determine (1) if the effect of mixing litter on mass loss, associated decomposers (fungal biomass, sporulation rates, and richness) and detritivores (abundance, biomass, and richness of invertebrate shredders) differs between the stream (fully aquatic exposure) and when litter is exposed to a period of terrestrial exposure prior to immersion and (2) the effect of the mixture across exposure scenarios. The effect of the mixture was additive on mass loss and synergistic on decomposers and detritivores across exposure scenarios. Within scenarios, mass loss and decomposers showed synergistic effects only in the fully aquatic exposure, detritivores showed synergistic effects only when the period of terrestrial was shorter than the period of aquatic exposure, and when the period of terrestrial was equal to the period of aquatic exposure the effect of the mixture was additive on mass loss, decomposers, and detritivores. The species-specific effects also differed among exposure scenarios. Alder affected poplar only when there was a period of terrestrial exposure, with increased sporulation rates and fungal richness in exposure 25:75, and increased mass loss in exposure 50:50. Poplar affected alder only under fully aquatic exposure, with increased mass loss. In conclusion, the synergistic effects of the mixture changed with a period of terrestrial exposure prior to immersion. These results provide a cross-boundary perspective on the effect of mixing litter, showing a legacy effect of exposure to terrestrial decomposition on the fate of plant litter in aquatic ecosystems and highlighting the importance of assessing the effect of mixing litter on the associated biota and not only on mass loss.</p>
Dataset on Electric Road Mobility: Historical and Evolution Scenarios until 2050
<p><span>The Electric Road Mobility Evolution Scenarios were performed considering different EVs technologies related to the current and future EV market (stock, sales, battery demand, electricity demand, and public charging points) in the context of worldwide, European, Portuguese, Danish, Greek and Slovenian on electric vehicle penetration.</span></p>
Flexibility Matters: Assessing the Flexibility Impact of Small and Medium Enterprises on the German Energy Transition: Dataset for Reference Scenario
<p>This repo contains the dataset for reference scenario for the paper</p> <p><strong><em>Flexibility Matters: Assessing the Flexibility Impact of Small and Medium Enterprises on the German Energy Transition</em></strong></p> <p>More information can be found here: https://github.com/AnasAbuzayed/SME_Flexibility</p> <p> </p>
Dataset for Nigeria clean cooking scenarios and impacts study
<p>This is the dataset and tool used for analysis in the journal article</p> <p>Yetano Roche, M. et al., (2024). Towards clean cooking energy for all in Nigeria: Pathways and impacts. Energy Strategy Reviews, 53, 101366,<br><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.esr.2024.101366" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.esr.2024.101366</span></a></p> <p>Abstract:</p> <p>Over 175 million Nigerians rely on the use of traditional biomass for cooking, and it is estimated that more than 128,000 people died in Nigeria in 2019 from household air pollution related to these fuels. There is currently a gap in the study of possible pathways to meet Nigeria's goals in clean cooking and in understanding the health and climate impacts that different pathways can bring about. We explore clean cooking access scenarios for Nigeria until 2060 under a business-as-usual scenario, a moderate climate mitigation scenario, and an ambitious transformative scenario. We carry out a disaggregation at the state level for the period up to 2030 to better guide shorter-term policy development. Our analysis shows that under an ambitious scenario where 85 million households achieve access to clean cooking by 2060, annual premature deaths due to exposure to household air pollution would decrease by 7 % compared to 2018 levels. A baseline scenario, on the other hand, sees a dramatic 77 % increase, resulting in 209,000 people dying prematurely, of which 94,000 children under 5. Furthermore, we find that woodfuel removals from forestland would lead to a tripling of carbon dioxide emissions from land use change, reaching 602 Mt CO2 by 2060. Our findings stress the vital importance of a clean cooking transition in Nigeria and underline the urgent need for immediate acceleration in national efforts regarding access to clean cooking for all.</p> <p>Keywords: Clean cooking; Climate change; Health; Long-term scenarios; Net-zero; Nigeria</p>
Case study via scenarios for revenue management in a metalmechanic company
Open the record for dataset details and reuse information.
A companion dataset to the paper Scenarios of future climate zone changes in Europe based on EURO-CORDEX regional model ensemble by Holtanová et al., to be submitted to Regional Environmental Change
<p>The content of the dataset is described in the metadata.txt file. </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.