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”
An amphioxus neurula stage cell atlas supports a complex scenario for the emergence of vertebrate head mesoderm
GEO Series GSE255742. Branchiostoma lanceolatum. 6 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Grape berry response to heatwaves in a climate change scenario: a physiological, transcriptional, and metabolic overview
GEO Series GSE206753. Vitis vinifera. 66 samples. Type: Expression profiling by high throughput sequencing.
Pearl River Delta FVCOM model sea level rise scenarios
<p>Model data presented in: De Dominicis, M., Wolf, J., Jevrejeva, S., Zheng, P., Hu. Z. "Future interactions between sea level rise, tides and storm surges in the world's largest urban area", Geophysical Research Letters (2020).</p> <p>An FVCOM (Finite Volume Community Ocean Model) implementation for the South China Sea and the Pearl River Delta is used to understand how future sea level rise, tides and typhoon storm surges can interact and affect coastal inundation. Four future sea level rise scenarios have been analyzed: 0.3 m, 0.5 m, 0.9 m and 2.1 m. Two typhoons that impacted the PRD have been modelled: Hato (2017) and Mangkhut (2018).</p> <p>The dataset consists of water elevation data for 40 model experiments:</p> <ul> <li>EXP01-10 allow to study tide and sea level rise interactions. The Pearl River Delta model has been run for 1 month forced only by tides and sea level rise at the model boundary.</li> <li>EXP11-15 (for Hato) and EXP26-30 (for Mangkhut) allow the study of tide, surge and sea level rise interactions; in these experiments the model has been fully forced by atmospheric forcing, tides and sea level rise.</li> <li>EXP16-20 (for Hato) and EXP31-35 (for Mangkhut) allow the study of tide and sea level rise interactions and are needed for the calculation of the surge, the model has been forced by tides and sea level rise only at the model boundary. The surge can be calculated as the difference between the fully forced run (EXP11-15 and EXP26-30) and the corresponding tide-only forced run (EXP16-20 and EXP31-35) for a given sea level rise.</li> <li>EXP21-25 (for Hato) and EXP35-40 (for Mangkhut) allow the study of the surge and sea level rise interactions only (no tides); for these experiments the model has been forced by atmospheric forcing and sea level rise at the model boundary.</li> </ul>
Gamification scenario: Foodwheel
<p>These materials are part of the Gamification Scenario in the context of the exploreAT! project</p>
CD-LINKS Scenario Explorer and Data hosted by IIASA
<p>This scenario set of consistent national and global low-carbon development pathways, developed as part of the <a href="https://www.cd-links.org">CD-LINKS project</a>, takes current national policies and the Nationally Determined Contributions (NDCs) as an entry point for short-term climate action, then transitioning to the long-term temperature goals of 1.5 and 2°C as defined by the Paris Agreement. The scenarios explore the complex interplay between climate action and development, while simultaneously taking both global and national perspectives and thereby informing the design of complementary climate-development policies. The CD-LINKS consortium brought together national and global integrated assessment modeling teams from Europe, China, India, Brazil, Russia, Japan and the USA as well as domain experts in the areas of human development, climate adaptation, economics, energy geopolitics, atmospheric chemistry, human health, land use, agriculture, and water.</p> <p>The data is available for download at the<em> </em><a href="https://data.ene.iiasa.ac.at/cd-links/">CD-LINKS Scenario Explorer</a>. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and <a href="https://data.ene.iiasa.ac.at/cd-links/#/license">legal code</a> for more information.</p>
Modelled spatiotemporally explicit fish densities at different fisheries management scenarios
<ol> <li>Conflicts of interest between resource extraction and conservation are widespread, and negotiating such conflicts or trade-offs is a key issue for ecosystem managers. One such trade-off is resource competition between fisheries and marine top predators. Managing this trade-off has so far been difficult due to a lack of knowledge regarding the amount and distribution of prey required by top predators.</li> <li>Here, we develop a framework that can be used to address this gap: a bio-energetic model linking top predator breeding biology and foraging ecology with forage fish ecology and fisheries management.</li> <li>We apply the framework to a Baltic Sea colony of common guillemots <i>Uria aalge</i> and razorbills <i>Alca torda</i>, two seabird species sensitive to local prey depletion, and show that densities of forage fish (sprat <i>Sprattus sprattus</i> and herring <i>Clupea harengus</i>) corresponding to the current fisheries management target B<sub>MSY</sub> are sufficient for successful breeding. A previously proposed fisheries management target for conserving seabirds, 1/3 of historical maximum prey biomass (B<sub>1/3</sub>), was also sufficient.</li> <li>However, the results highlight the importance of maintaining sufficient prey densities in the vicinity of the colony, suggesting that fine-scale spatial fisheries management is necessary to maintain high seabird breeding success.</li> <li>Despite foraging on the same prey, razorbills could breed successfully at lower prey densities than guillemots but needed higher densities for self-maintenance, emphasizing the importance of considering species-specific traits when determining sustainable forage fish densities for top predators.</li> <li> <i>Synthesis and application.</i> Our bio-energetic modelling framework provides spatially explicit top predator conservation targets that can be readily integrated with current fisheries management. The framework can be combined with existing management approaches such as Dynamic Ocean Management, Marine Spatial Planning and Management Strategy Evaluation to inform ecosystem-based management of marine resources.</li> </ol>
Characterising Pythonic Data Structure Usage Scenarios in Textbooks
Open the record for dataset details and reuse information.
Dynamic semantic publishing: four use case scenarios
<p><span>This presentation discusses: 1) How to benefit from semantic technology along the content life cycle. 2) How to implement a learning system, in which knowledge graphs evolve over time. 3) How to integrate semantic technology in a CMS. 4) How taxonomies can build the backbone of a linked data infrastructure.</span></p>
VariCity: Visualizing Object-Oriented Variability Implementations as Cities — Scenarios projects
<p>This archive contains the sources for the three projects used in the scenarios presented in the paper "VariCity: Visualizing Object-Oriented Variability Implementations as Cities", along with the plugin configurations.</p> <pre>- <a href="https://github.com/jfree/jfreechart/tree/v1.5.0/">JFreeChart 1.5.0</a> - <a href="https://github.com/apache/netbeans/tree/12.2/">NetBeans 12.2</a> - <a href="https://github.com/NationalSecurityAgency/ghidra/tree/Ghidra_10.0.4_build/">Ghidra 10.0.4</a> </pre> <p>The plugin configuration consists in a hidden .varicity directory, placed at the root of each project.<br> It contains a JSON being the variation points and variants identified by symfinder, as well as the VariCity configuration to display the city with the parameters given in the paper.</p>
Population scenarios derived for the FSEC MAgPIE scenarios
<p>Population scenarios for SSP1 and SSP2, derived using the `calcGridPop_new` function in the `mrmagpie` package (version 1.23.15). Underlying this function is the population scenarios of Jones and O'Neill (2016). This data set is archived for use in the MAgPIE scenario analyses, which were derived by the Food System Economics Commission.</p> <p>-- References</p> <p>B Jones and B C O'Neill 2016 <em>Environ. Res. Lett.</em> <strong>11</strong> 084003</p> <p>Karstens K, Dietrich J, Chen D, Windisch M, Alves M, Beier F, v. Jeetze P, Mishra A, Humpenoeder F (2022). <em>mrmagpie: madrat based MAgPIE Input Data Library</em>. doi: 10.5281/zenodo.4319612 (URL: <a href="https://doi.org/10.5281/zenodo.4319612">https://doi.org/10.5281/zenodo.4319612</a>), R package version 1.23.15, <URL: <a href="https://github.com/pik-piam/mrmagpie%3E">https://github.com/pik-piam/mrmagpie></a>.</p>
An updated metal-dependent theoretical scenario for Classical Cepheids (full sample of theoretical light curves converted in Johnsons, Gaia and HST-WFC3 filters))
<p>Converted_light_curves --> Main directory containing 4 subdirectories Z0p004, Z0p008, Z0p02, and Z0p03 for the four different analyzed chemical compositions</p> <p> </p> <p>Z0p004--> directory containing results for a metallicity Z=0.004 and Helium content Y=0.25</p> <p>Z0p008--> directory containing results for a metallicity Z=0.008 and Helium content Y=0.25</p> <p>Z0p02--> directory containing results for a metallicity Z=0.02 and Helium content Y=0.28</p> <p>Z0p03--> directory containing results for a metallicity Z=0.03 and Helium content Y=0.28</p> <p>Inside each of these 4 subdirectories are two subdirectories 'curves_F' and 'curves_FO' for the two analyzed pulsational modes, fundamental (F) and first overtone (FO).</p> <p>Inside 'curves_F' and 'curves_FO' are the files of the bolometric light curves converted into the Gaia EDR3 filters, G, GBP, and GRP, the HST WFC3 filters F110W, F160W, F814W, F125W, F475W, F606W and F555W and the Johnson-Cousins bands U, B, V, R, J, H, K.</p> <p>The file names are tokenized as follows.</p> <p>curves_token1_token2_token3_token4_token5_token6_token7_token8_token9.csv'</p> <p> </p> <p>where</p> <p>token1 is the effective temperature in Kelvin</p> <p>token2 is the logarithmic luminosity in solar units</p> <p>token3 is the stellar mass in solar units</p> <p>token4 is the mixing length value</p> <p>token5 is the ML relation assumption (See text for more details)</p> <p>token6 is the period in days</p> <p>token7 is the chemical composition</p> <p>token8 is the pulsational mode</p> <p>token9 is the photometric passband</p> <p> </p> <p>Inside each curves’ file, the various columns represent the time in seconds, the bolometric magnitude, and the converted magnitudes in the aforementioned bands.</p>
Implementation of Inverse Model Policy based on KineNN in Physical Robot for Pick and Place Scenario
<p>Inverse Model Policy based on KineNN was trained in a simulation. After that, the policy is evaluated with the physical robot. The policy is used to drive the robot to specific target such as: Pick Position, Safe Pick Position, Place Position, Safe Place Position. </p>
User story, acceptance scenarios and prompts for LLM
<p>User story data, acceptance scenarios and prompts used for research into LLM adoption in Portuguese.</p>
Raw data from Car scenario from "Perils of Zero-Interaction Security in the Internet of Things"
<p>This deposit contains the raw data from the Car scenario in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1. See the <a href="https://dx.doi.org/10.5281/zenodo.2537721">index of all related datasets</a> for more details on the paper, and see the included README for details on this dataset.</p>
Raw data from Office scenario from "Perils of Zero-Interaction Security in the Internet of Things"
<p>This deposit contains the raw data from the Office scenario in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1. See the <a href="https://dx.doi.org/10.5281/zenodo.2537721">index of all related datasets</a> for more details on the paper, and see the included README for details on this dataset.</p>
Processed data from Car scenario from "Perils of Zero-Interaction Security in the Internet of Things"
<p>This deposit contains the processed data from the Car scenario in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1. See the <a href="https://dx.doi.org/10.5281/zenodo.2537721">index of all related datasets</a> for more details on the paper, and see the included README for details on this dataset.</p>
Processed data from Mobile scenario from "Perils of Zero-Interaction Security in the Internet of Things"
<p>This deposit contains the processed data from the Mobile scenario in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1. See the <a href="https://dx.doi.org/10.5281/zenodo.2537721">index of all related datasets</a> for more details on the paper, and see the included README for details on this dataset.</p>
First responders' mobile phone traces during a flood exercise scenario
<p>This dataset is collected during a flood exercise scenario in the framework of the ARTION project. </p> <p>The operation took place on the 21st of February 2021 on the shore of an artificial lake in Achna, in Cyprus (coordinates: 35.055556, 33.812222), in order to simulate a realistic flood management scenario. The operations included: water pumping, establishment and operation of an emergency operation center and first aid station, and search and rescue of thee missing persons (one found in the water).</p> <p>The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the KIOS Research and Innovation Center of Excellence of the University of Cyprus. </p> <p>The dataset consists of .csv files, each containing a trace, that is, the location of the mobile phone captured by the built-in GPS receiver of the phone approximately every one second. The mobile phones were held by first responders during their operation. </p> <p> </p>
Figure 2 from: Watts CHS, Hendrich L, Balke M (2016) A new interstitial species of diving beetle from tropical northern Australia provides a scenario for the transition of epigean to stygobitic life (Coleoptera, Dytiscidae, Copelatinae). Subterranean Biology 19: 23-29. https://doi.org/10.3897/subtbiol.19.9513
Figure 2 - Habitus of Exocelina species: Exocelina australis (A), Exocelina abdita (B).
Scenarios Nigeria SAND files
<p>Models (Data sets) built during the EMP-A 2023 training on energy modelling using OSeMOSYS & FLEXTOOL with focus on Nigeria. The models translate the various emission reduction policies of Nigeria to data sets that can be analysed.</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.