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32
datasets available to search
ShareScore release 0.9.0
Dataset results
32 results for “demand response”
Efficacy of Intracavernosal as add-on Therapy to Sildenafil 100 mg on Demand Compared to Sildenafil 100 mg on Demand for the Treatment of Erectile Dysfunction (ED) Not Sufficiently Responsive to Stand
ClinicalTrials.gov study NCT05196308. IPD Sharing: NO. Countries: 1. Publications: 3.
Nitrogen fixation and gas exchange response to evaporative demand in soybean
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Data from: Urbanization-driven climate change increases invertebrate lipid demand, relative to protein—a response to dehydration
<p>1. Climatic change alters not only animal energy balance, but also water balance, but this latter topic has received less attention. Water can be obtained through consumption of moist food and metabolism of dry food. The breakdown of carbohydrates, lipids, and proteins can produce metabolic water. Metabolism of lipids produces large amounts of water, whereas excretion of nitrogenous waste related to protein metabolism requires water losses.</p> <p>2. Here we tested the hypothesis that climatic shifts associated with urbanization influences animal lipid demand relative to protein, due to shifts in water balance.</p> <p>3. We placed artificial diets high in lipid or protein, and either with or without supplemented water, at 16 pairs of sites along an urbanization gradient in Toledo, OH, USA.</p> <p>4. Lipid consumption, relative to protein, increased with urbanization and mean temperature, but water supplementation reduced the magnitude of this association. Ants were ~50% of the observed consumers.</p> <p>5. These results suggest that shifts in nutritional demand with climatic change are partially predictable from physiological first principles related to water balance and nutrient metabolism. Because ants and other arthropods play key roles in many food webs and ecosystems, increased demand for lipids with urbanization or climate change could have major consequences for ecosystem services (e.g. urban waste removal, seed predation). Overall, our results suggest that warming related to urbanization increases animal demand for lipids, in part to maintain water balance, and this could have important implications for both animal health and ecosystem services.</p>
Raw data belonging to paper “Simulative Evaluation of Demand Response Approaches for Waterbeds”
<p>The Zip file contains the raw data used for drawing conclusions in the paper "Simulative Evaluation of Demand Response Approaches for Waterbeds" published on IEEE ENERGYCON 2016. The paper quantitatively compares demand response approaches for waterbeds using simulation. The raw data was produces from the simulation log files or measurements with a real waterbed. It is described in file readme.pdf contained in the Zip file.</p>
Data from: Urbanization-driven climate change increases invertebrate lipid demand, relative to protein—a response to dehydration
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dsmlib - region4FLEX example (Supplementary Material for the manuscript: Assessment of the regionalised demand response potential in Germany using an open source tool and dataset)
<p>This is the supplementary material for the manuscript:<br> Heitkoetter, Wilko, et al. "Assessment of the regionalised demand response potential in Germany using an open source tool and dataset." <em>Advances in Applied Energy</em> (2020): 100001.<br> Article DOI (open access): <a href="https://doi.org/10.1016/j.adapen.2020.100001">https://doi.org/10.1016/j.adapen.2020.100001</a></p> <p><strong>REPOSITORY CONTENT</strong><br> This repository contains the dsmlib python tool for calculating regionalised load shifting potentials and cost-potential curves.<br> Further, the input data and load shifting potential results of the region4FLEX example are provided (<a href="https://wiki.openmod-initiative.org/wiki/Region4FLEX">region4FLEX model description</a>). In the region4FLEX example dsmlib is applied to the 401 German administrative districts (NUTS-3 regions) considering multiple demand sectors and technologies (see Metadata).</p> <p><strong>quick_start_dsmlib_region4FLEX.zip:</strong><br> This file contains the python dsmlib source code and the resulting average and maximum load shifting potential values per administrative district for all technologies (e.g.: see "/results/2030/extreme_values/av_values_p_max.csv" for average load increase potentials in 2030). Unless otherwise stated the units of the results are in MW for power and MWh for energy. (For more information on the results, please refer to \dsmlib-zenodo\examples\region4FLEX_dsm_potential\README.md --> section Results). The resulting time series and large-scale input data are not contained, to allow for a fast download. </p> <p><strong>full_download_dsmlib_region4FLEX.zip:</strong><br> This file contains the python dsmlib source code and the full set of input and result data.<br> For more information refer to /dsmlib/examples/region4FLEX_dsm_potential/README.md</p> <p><strong>LICENSES</strong><br> The developed source code is licensed under the GPL v3 License. All result data are licensed under the CC-BY 4.0 License.<br> The input data are licensed under different open licenses. For more information refer to the provided README files, LICENSE files and input_data_overview files.</p> <p><strong>METADATA</strong><br> <strong>Demand sectors:</strong> Residential, commercial trade and services, industry, power-to-heat, power-to-gas, e-mobility<br> <strong>Technologies:</strong> Washing, drying, cooling, ventilation, AC, air separation, cement production, pulping, paper production,<br> recycled paper production, process heat, heat pumps, resistive space heating, resistive DHW heating, power-to-heat in district heating,<br> power-to-methane, power-to-hydrogen, e-mobility <br> <strong>Energy sectors:</strong> Electricity (+ interfaces to heat, gas and transport sector)<br> <strong>Geographical scope:</strong> Germany<br> <strong>Geographical resolution:</strong> Administrative districts (NUTS-3)<br> <strong>Temporal scope:</strong> 2018, 2030<br> <strong>Temporal resolution:</strong> 15min</p> <p><strong>NEWS AND CONTACT</strong><br> This dataset will be used as part of the region4FLEX model. If you wish to receive news or have general questions please contact: wheitkoetter(at)gmail.com</p>
SPARCS_WP4_Leipzig_Virtual_Modelled Residential Load for Community Demand Response
<p>modelled Residential Load for the 1000 households participating in the Community Demand Response. 900 are typical private 2-person households (RL1),100 are typical private 2-person households with heat pumps (RL2)</p>
Data for "Response of global forest management to changes in future wood demand"
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Predicting Responses to Exhausting, Prolonged, And Repeated Exercise Demands (PREPARED) for Heat
ClinicalTrials.gov study NCT06475339. IPD Sharing: NO. Countries: 1. Publications: 0.
Diabetes risk gene and Wnt effector Tcf7l2/TCF4 controls hepatic response to perinatal and adult metabolic demand
GEO Series GSE41284. Mus musculus. 22 samples. Type: Expression profiling by array.
mTOR signaling regulates demand-adapted hematopoiesis and metabolic reprogramming required for an effective cellular immune response in Drosophila melanogaster larvae
GEO Series GSE237065. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.
Precisely controlled cell-cell interactions with single-cell transcriptome readout identify a time-demand threshold response of human oncolytic NK cells
GEO Series GSE214129. Homo sapiens. 447 samples. Type: Expression profiling by high throughput sequencing.
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.