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.
858
datasets available to search
ShareScore release 0.9.0
Dataset results
858 results for “Energy Data”
Energy consumption and PV generation data of 15 prosumers (15 minute resolution)
<p><strong>Energy consumption and PV generation data of 15 prosumers (15 minute resolution)</strong></p> <p>Sérgio Ramos, João Soares, Zahra Foroozandeh, Inês Tavares, Zita Vale</p> <p><strong>Paper title: (All papers)</strong></p> <p>Type: Energy consumption and PV generation data</p> <p>Duration: Year 2019 (15 minute – 35 040 periods)</p> <p>Resolution: 15 minutes</p> <p>Application: Paper submitted on</p> <p>Sheets description:</p> <ul> <li>Total PV production: Contains the generation of the PV panels;</li> <li>Common services: Contains information of the energy consumption of the common services of the building;</li> <li>Consumer 1-15: Contains the information of the energy consumption of each consumer.</li> </ul>
Data files for "Estimating a Social Cost of Carbon for Global Energy Consumption"
<p>Data files for "Estimating a Social Cost of Carbon for Global Energy Consumption".</p> <p>Findings of the paper can be replicated using these data files, along with code at https://github.com/ClimateImpactLab/energy-code-release-2020/.</p> <p> </p>
Data and code archive for Andrews et al. 'Exposure to food insecurity increases energy storage and reduces somatic maintenance in European starlings'
<p>Data and code archive for Andrews et al. 'Exposure to food insecurity increases energy storage and reduces somatic maintenance in European starlings'</p> <p>The archive contains one R script and three .Rdata data files, relating to the mass data, the telomere data, and the food consumption data respectively.</p>
(re)Use Indications of High Energy Physics related Research Data and Software in Zenodo
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from Zenodo. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Cleaned data from Supplementary Table S1 from "Temperature-Dependent Estimation of Gibbs Energies Using an Updated Group-Contribution Method"
<p>This data is derived from <a href="https://doi.org/10.5281/zenodo.5277805">https://doi.org/10.5281/zenodo.5277805</a>. As of 2021-09-08, <a href="https://doi.org/10.5281/zenodo.5277805">https://doi.org/10.5281/zenodo.5277805</a> contained an Excel file with md5:8907e7444f49d02d58fdef9fb2a1089a and filename "TableS1.xlsx"; the file was licensed under <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a>.</p> <p>In "TableS1.xlsx" there were, among others, worksheets with the names "Table S1. TECRDB Keqs" and "Table S2. TECRDB ΔrH data".</p> <p>Worksheet "Table S1. TECRDB Keqs" was exported as a csv with filename "TableS1_Keq.csv". A column "id" was added with a persistent identifier created in w3id.org.</p> <p>Worksheet "Table S2. TECRDB ΔrH data"" was exported as a csv with filename "TableS1_deltaH.csv". A column "id" was added with a persistent identifier created in w3id.org.</p> <p>No other corrections were made.</p>
Data for the Eastern African power pool's energy systems model, developed in OSeMOSYS
<p>This repository consists of the following datasets</p> <p>1. EAPP_reference scenario_datafile.DD- This dataset is a model file that needs to be used with the code available in this <a href="https://github.com/KTH-dESA/OSeMOSYS/blob/master/OSeMOSYS_GNU_MathProg/osemosys_short.txt">GitHub</a> link. This data file (in concurrence with the OSeMOSYS code) can be used to create a linear programming file (LP file) to be solved using any mathematical optimisation solver like GLPSOL/C-PLEX/GUROBI/CBC.</p> <p>2. Main article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the main article.</p> <p>3. Supplementary article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the supplementary article.</p>
Electron energy loss spectroscopy (EELS) and energy dispersive spectroscopy (EDS) data from two pyroxene grains from Apollo 17 soil 71501
<p>This dataset contains hyperspectral EELS and EDS data for two pyroxene grains from Apollo 17 soil 71501 as well as iron oxidation state standards used in the original article "Detection of ferric iron in an exsolved lunar pyroxene using electron energy loss spectroscopy (EELS): Implications for space weathering and redox conditions on the Moon" by Brittany Cymes, Katherine Burgess, and Rhonda Stroud. (doi: 10.1111/maps.13941). The purpose of this dataset is to document chemical characteristics of lunar pyroxenes that can be used to interpret conditions of formation and evaluate chemical changes resultant from the process of space weathering.</p>
Data for LEELO-LA (Long-term Energy Expansion Linear Optimization - Latin America)
<p>This repository contains the data for LEELO-LA (Long-term Energy Expansion Linear Optimization - Latin America)</p>
Simulation and calculation data for the Lorenz energy cycle
<p>The data are for the article "Lorenz Energy Cycle: Another Way to Understand the Atmospheric Circulation on Tidally Locked Terrestrial Planets". The data are simulated by the general circulation model ExoCAM. The horizontal resolution is 4<span>°x5°.</span></p> <p><strong><span>Note: ST: in standard coordinates; TL: in the tidally locked coordinates.</span></strong></p> <ol> <li><span>The simulation data is daily-mean (i.e., '<strong>*.daily.nc</strong>'), including: </span><strong>ST_5d_tidally_locked.cam.daily.nc, ST_60d_tidally_locked.cam.daily.nc </strong>(in the standard coordinates), and <strong>TL_60d_tidally_locked.cam.daily.nc</strong> (in the tidally locked coordinates). </li> <li>The LEC data are calculated by the LEC code released at <em>https://doi.org/10.5281/zenodo.7472396</em>, including:</li> </ol> <ul> <li>Earth: <strong>LEC_energy.1979-*.nc</strong> and <strong>LEC_converse_rate.1979-*.nc</strong></li> <li>Rapidly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_5d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_5d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in tidally locked coordinates): <strong>TL_LEC_energy_60d_tidally_locked.nc</strong> and <strong>TL_LEC_conv-rate_60d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_60d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_60d_tidally_locked.nc</strong> </li> </ul> <p> </p> <p> </p>
Micro data from the 2012 Greek Household Energy Consumption survey
<p>The dataset is a cleaned and modified version of the microdata from the 2012 Greek Household Energy Consumption survey</p>
Data for: Causal mechanisms for negative impacts of energy development inform management triggers for sagebrush birds
<p>Estimated population trends can identify declining species to focus biological conservation, but monitoring may fail to illuminate causes of population change and strategies for reversing declines. Monitoring programs can relate trends with environmental attributes to test causal hypotheses, but typical analytical approaches do not explicitly support causal inference, diluting available data for informing conservation. The U.S. Bureau of Land Management (BLM) extended Integrated Monitoring in Bird Conservation Regions with a quasi-experimental sampling design over a 10-year period (2010–2019) to evaluate impacts of oil and gas development on sagebrush birds within the Atlantic Rim Natural Gas Development Project in southern Wyoming. We analyzed resulting data using a multi-scale community occupancy model to estimate trends in species occupancy and richness relevant to management triggers. Additionally, we employed path analysis to evaluate mechanisms underlying observed trends to inform potential management responses. Fine-scale occupancy for sage thrasher (<em>Oreoscoptes montanus</em>) declined within the high-development stratum at a rate sufficient to meet an<em> a priori</em> management trigger established by the BLM. Two additional sagebrush-associated species, Brewer's (<em>Spizella breweri</em>) and sagebrush sparrow (<em>Artemisiospiza nevadensis</em>), exhibited negative development relationships with trend, as did overall species richness, and richness of grassland, sagebrush, and generalist guilds. We identified well pad density and invasive plants associated with energy development as causal factors contributing to these negative development impacts. We demonstrate an analytical approach for both estimating occupancy trends and identifying underlying causes to inform conservation action. Reducing the development footprint, including well pad density and associated invasive plants, could help reduce or limit impacts on birds within this landscape.</p>
Data of Energy mechanism of atmospheric boundary layer development over the Tibetan Plateau
<p>Processed data of Energy mechanism of atmospheric boundary layer development over the Tibetan Plateau</p>
Appendix Data for Manuscript : Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy
<p>Appendix Data for Manuscript 'Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'.</p>
Data for: Ambient and substrate energy influence decomposer diversity differentially across trophic levels
<p><span>The species-energy hypothesis predicts increasing biodiversity with increasing energy in ecosystems. Proxies for energy availability are often grouped into ambient energy (i.e., solar radiation) and substrate energy (i.e., non-structural carbohydrates or nutritional content). The relative importance of substrate energy is thought to decrease with increasing trophic level from primary consumers to predators, with reciprocal effects of ambient energy. Yet, empirical tests are lacking. We compiled data on 332,557 deadwood-inhabiting beetles of 901 species reared from wood of 49 tree species across Europe. Using host-phylogeny-controlled models, we show that the relative importance of substrate energy versus ambient energy decreases with increasing trophic levels: the diversity of zoophagous and mycetophagous beetles was determined by ambient energy, while non-structural carbohydrate content in woody tissues determined that of xylophagous beetles. Our study thus overall supports the species-energy hypothesis and specifies that the relative importance of ambient temperature increases with increasing trophic level with opposite effects for substrate energy.</span></p>
Output data: China's energy-water-land system co-evolution under carbon neutrality goal and climate impacts
<p>Outputs for Wang, J., Duan, Y., Wang, C., 2023. China’s energy-water-land system co-evolution under carbon neutrality goal and climate impacts. (In progress)</p> <p>Folder demeter contains the spatially downscaled land use/land cover datasets.<br> Folder tethys contains the spatially downscaled water withdrawal datasets.</p> <p>The sub-folder names correspond to the scenarios described in the paper.</p> <p>For landcover datasets, land type ratios in each grid are presented. Land types include water, forest, shrub, grass, urban, snow, sparse and crops.</p> <p>For water withdrawal datasets, “wd” = “water withdrawal spatially downscaled”, “twd” = “water withdrawal spatially and temporally downscaled”, “dom”=”domestic/municipal sector”, “elec”=”electricity sector”, ”irr”=”irrigation sector”, “liv”=”livestock sector”, “mfg”=”manufacturing/industry sector”, “min”=”mining/primary energy sector”, “nonag”=”non-agricultural sector”, “total”=”all sectors”.<br> </p>
Case study result data set for Energy Systems (submitted) article "Influence of hydrogen import prices on hydropower systems in climate-neutral Europe"
<p>The data set contains result data for the European system in a long term climate-neutral European energy system (scenario year 2050) as described in the publication "Influence of hydrogen import prices on hydropower systems in climate-neutral Europe". The results have been generated with the model SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. </p> <p><strong>Abbreviations:</strong></p> <ul> <li>BEV - Battery Electric Vehicles</li> <li>CCGT - Combined Cycle Gas Turbine</li> <li>CHP - Combined heat and power</li> <li>con - consumption</li> <li>gen - generation</li> <li>HighCLEQ - High import prices / clustered-equivalent hydropower units</li> <li>HighEQ - High import prices / equivalent hydropower units</li> <li>LowCLEQ - Low import prices / clustered-equivalent hydropower units</li> <li>LowEQ - Low import prices / equivalent hydropower units</li> <li>MedCLEQ - Medium import prices / clustered-equivalent hydropower units</li> <li>MedEQ - Medium import prices / equivalent hydropower units</li> <li>OCGT - Open Cycle Gas Turbine</li> <li>PHEV - Plug-In Hybrid Vehicles</li> <li>PS - Pumped Storage</li> <li>w/ - with</li> <li>w/o - without</li> <li>yr - year</li> </ul>
Supplementary data for the manuscript titled 'Energy metabolism and aerobic respiratory chain of Vitreoscilla sp. C1: Comparison with beta-proteobacteria'
<p>This dataset contains the supplementary data files for the manuscript titled, 'Energy metabolism and aerobic respiratory chain of Vitreoscilla sp. C1: Comparison with beta-proteobacteria.' </p>
Supporting Data and Guidance: Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS
<p>This repository contains data files and guidance documents that are supplementary materials to accompany the policy paper "Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS" available on Research Square here: <a href="https://www.researchsquare.com/article/rs-2702275/v1">https://www.researchsquare.com/article/rs-2702275/v1</a></p>
Data for Process Design and Energy Assessment of an Onboard Carbon Capture System with Boilers or Heat Pumps for Additional Steam Generation
<p>1. Supporting file includes main stream information used in Aspen HYSYS model, process simulations of boiler and heat pump for model construction.<br> 2. Supporting file also includes main information used in ProMAX model, process simulations of carbon capture process for model construction.</p>
Available Community Energy Transition Plan Data
<p>This is the extracted data for 186 communities that have made a pledge to be 100% renewable. A Systematic online search was conducted to find current plans and assess the gaps in community energy transitions. Please cite and reference the manuscript "<strong>Ready or not, here it comes: Assessing the gaps in community plans for renewable energy transitions</strong><strong> within the United States" </strong>published in Energy Research and Social Science </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.