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229 results for “Energy use”
METADATA for results of irradiation-induced complex DNA damage measurements using plasmid pBR322 along a typical Proton Treatment Plan at the MedAustron proton and carbon beam therapy facility (energy 137–198 MeV and Linear Energy Transfer (LET) range 1–9 keV/μm), by means of Agarose Gel Electrophoresis and DNA fragmentation using Atomic Force Microscopy (AFM)
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Data used in "The Backscatter Gating method for time, energy, and position resolution characterization of long form factor organic scintillators" by Hunter N. Ratliff et al.
<p>This repository contains the raw experimental and PHITS-simulated data used in the JINST article “The Backscatter Gating method for time, energy, and position resolution characterization of long form factor organic scintillators” by Hunter N. Ratliff et al., available at <a href="https://doi.org/10.1088/1748-0221/19/07/P07002">https://doi.org/10.1088/1748-0221/19/07/P07002</a> (the accepted manuscript can also be found at <a href="https://hdl.handle.net/11250/3145287">https://hdl.handle.net/11250/3145287</a> and <a href="https://hratliff.com/publications/">https://hratliff.com/publications/</a>).</p> <p> </p> <p>The data consists of three top-level directories, each with various subdirectories. Within the “PHITS-simulated-data” directory are the PHITS simulations (including input and output files) used in producing Figures 4 and 5 in the manuscript, showing energy spectra in the bar for BSG events from a Cs-137 emission for placement of the source on the bar and on the BSG detector and with spacings between the bar and BSG detector of 20, 80, and 150 mm, along with the energy-dependent spatial distribution of these recoil electrons in the bar.</p> <p> </p> <p>The other two top-level directories contain raw data produced by the CAEN CoMPASS software when acquiring data experimentally. In the analysis for each measurement, the contents of the “RAW” folders were used. The “Energy-calibrations-of-CeBr3” directory contains the energy spectra of the CeBr3 detector (used as the BSG detector) when exposed to a variety of radioactive sources, used together to energy-calibrate the CeBr3 detector. The “Backscatter-gating-measurements” directory contains all of the list-mode data acquired with CoMPASS used for all of the other experimental measurements presented in the manuscript. It contains subdirectories for varied sources, source positions along the bar, distances between the bar and BSG detector, measurements with the source affixed to the BSG detector instead, and a few miscellaneous measurements. The “images” directories within each measurement’s directory (at the same level as the “RAW” folders) contain images produced by the analysis script written for this work used for diagnostics and presenting analyzed data.</p> <p> </p>
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 2. Energy-VAS subjective measures for the participants (n=12) under two conditions (control and exercise involved cognitive task).
<p>As shown in Figure 2, it was found that there was a statistically significant interaction in the<br> percentage of mental fatigue between the condition type and time-on-task factor times (F(6, 22) =<br> 492.19, p < 0.001) as well as there was a significant main effect of time-on-task (time5 to time30)<br> (F(5, 22) = 463.794, p < 0.001). In addition, there was also a significant main effect in the condition type (F (1, 22) = 713.133, p < 0.001) which represented a large effect size. For the physical fatigue<br> subjective measure, there was a significant difference between the two experimental conditions (p <<br> 0.001), and within the subject test times (p < 0.001). However, there was no significant difference<br> between the means of the concentration visual analogue scale for these two experimental conditions<br> (p = 0.057) despite a significant difference (p < 0.001) in the time-on-task repeated measures.</p>
BRAIN Journal-An Energy-Saving Concept of the Smart Building Power Grid with Separated Lines for Standby Devices-Figure 5. An example of smart lighting using NodeMcu Lua ESP8266 ESP-12 WiFi board
<p> for different purposes together with switching on/off relays, e.g. to control the motors, to acquire the data from sensors. It allows developing multifunctional smart systems. For instance, the smart lighting unit is created using NodeMcu Lua ESP8266 ESP-12 WiFi board, Arduino light sensor, and relay SRD-05VDC-SL-C, which controls the power supply of the lamp. Figure 5 shows a simplified example of smart lighting, where the lamp is represented by eight 5 mm light-emitting diodes (LEDs).</p>
Data set used in the Article "Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches"
<p>Data used for the Relativistic Runaway Electron Avalanches (RREA) simulations of the Article : "Evaluation of Monte Carlo tools for high energy atmospheric physics II: relativistic runaway electron avalanches" by D. Sarria et al.</p> <p>Includes two set of results : The Probability of Generating RREAs, and the Characterizations of RREAs.</p> <p>Link to the article : <a href="https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html">https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html</a></p> <p>DOI of the article: 10.5194/gmd-2018-119</p>
Hit Expansion using Substructure Search, Virtual Screening & Free Energy Perturbation
<p>Identification of commercially available chemical analogs of primary hits previously crystallized in complex with the zinc finger ubiquitin binding domain (Zf-UBD) of USP5 and prioritization of chemical analogues by free energy perturbation (FEP). </p>
In-house high energy remote SAD-phasing using the magic triangle: how to tackle the P1 low symmetry using multiple orientations on the same human IBA57 crystal to increase multiplicity.
<p>The dataset named IBA57-I3C.zip contains pck diffraction images of 9 runs (orientations) of a human IBA57 crystal soaked with 5-amino-2,4,6-triiodoisophthalic acid (I3C) collected on an in-house source. Multiple orientations (runs) of the very same triclinic crystal have been exploited to acquire sufficient real data multiplicity for SAD-phasing. Each folder named run* contains the pck images and the relevant XDS.INP file for processing. The file runs.txt in the top directory gives the phi, kappa, omega and theta details on each of the 9 runs.</p> <p>The dataset named IBA57-native.zip contains pck images of 1 run (360 images around phi only) of a native human IBA57 crystal collected on the same in-house source and the relevant XDS.INP file for processing; this dataset is needed for SIRAS along with the I3C dataset.</p> <p> </p>
Hourly U.S. Building Electricity Use, Cost, and Emissions Baselines to Support Time-Sensitive Analyses of Energy Efficiency and Flexibility Measures
<p>These data underpin an analysis of the time-sensitive impacts of energy efficiency and flexibility measures in the U.S. building sector using Scout (<a href="https://scout.energy.gov">scout.energy.gov</a>), a reproducible and granular model of U.S. building energy use developed by the U.S. national labs for the U.S. Department of Energy's Building Technologies Office.</p> <p>The analysis applies sub-annual adjustments to U.S. baseline building energy use, cost, and emissions in order to characterize how these metrics vary across hour of the day, season, and geographic region in the U.S. building sector. These adjustments are based on daily energy load, price, and emissions shapes from various data sources and are used to re-apportion baseline energy, cost, and emissions totals from <a href="https://www.eia.gov/outlooks/aeo/data/browser/%20/%20%7b%20/%20# \ }/?id=2-AEO2018 \ { \ & \ }cases=r ef2018 \ { \ & \ }sourcekey=0">EIA's Annual Energy Outlook (AEO) Reference Case projections</a> across all hours of a year. The resulting sub-annual baselines are specified by building sector, end use, region, and season and can be used in analyses of building efficiency and flexibility measures to quantify their time-sensitive impacts at the national scale. Analyses of these data demonstrate that energy efficiency measures continue to show strong value under a time-sensitive framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.</p> <p>The data uploaded below include CSV files that show hourly energy use, cost, and emissions totals for the U.S. building sector as well as by end-use, region, and season. An additional CSV includes residential and commercial price intensities (USD/quad) for all hours of the day based on different time-of-use (TOU) rate data from the U.S. Utility Rate Database (URDB). Further detail on each of these CSVs is given below:</p> <ul> <li>'TSV_baseline_totals.csv': this file shows hourly total energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030. It presents these estimates in Quads (source), Quads (site), and TWh (site). For the cost totals, it presents two estimates for each year and building sector, including one using the median TOU rate from the URDB and one using the average retail rate for the corresponding building sector. For converting source energy to site, total delivered electricity and electricity-related losses data for the residential and commercial sector are drawn from <a href="https://www.eia.gov/outlooks/aeo/data/browser/#/?id=2-AEO2018&sourcekey=0">AEO Summary Table A2</a>.</li> <li>'TSV_baseline_end-use.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030 broken out by building end-use. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.</li> <li>'TSV_baseline_region.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential space heating and cooling end uses in 2018 and 2030 for each <a href="https://www.eia.gov/consumption/residential/maps.php">American Institute of Architects (AIA) climate zone</a>. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.</li> <li>'TSV_baseline_region_season.csv': this file shows a similar disaggregation of the data as ‘TSV_baseline_region.csv’, but it further disaggregates results by season. The seasonal definitions are as follows: 'intermediate' (October to November; March to April), 'winter' (November to February), and 'summer' (May to September).</li> <li>'TSV_annual_price_intensities.csv': this file presents annual hourly price intensities for the commercial and residential building sectors in 2018 and 2030 based on different TOU rate data from the URDB. Three different rate structures are included for each building sector, and these are the 5th, 50th, and 95th percentile of all existing commercial and residential TOU rates in the URDB in terms of their peak to off-peak price ratio.</li> </ul>
Dataset related to the publication "Measurement and assignment of J = 5 to 9 rotational energy levels in the 9070-9370 cm-1 range of methane using optical frequency comb double-resonance spectroscopy"
<p>The files contain the normalized interleaved double-resonance spectra recorded with four different pump transitions, indicated in the file name. The first column is the wavenumber, the second column is the transmission intensity.</p>
Data sets accompanying "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning"
<p>This data sets accompany the publication "Methodological and reporting inconsistencies in land-use requirements misguide future renewable energy planning" in One Earth.</p> <ul> <li>lur-db-output-zenodo.xlsx: contains all land use requirement estimates for renewable energies reviewed in the publication. Meta-data is reported in one sheet, the other sheet contains the original data.</li> <li>authorship-tree-zenodo.xlsx: contains the information necessary to derive the authorship tree shown in the supplementary information. Meta-data is reported in one sheet, the other sheet contains the original data.<br><br><br></li> </ul>
Protein engineering using variational free energy approximation
<p>Data generated by PREVENT model and used in manuscript "Protein engineering using variational free energy approximation". Contains raw input data, R scripts and Jupyter Notebooks to process data and output figures used in the main text and supplementary materials of the manuscripts.</p>
Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (Full dataset)
<p>This dataset contains research data and software (re)use indications (formal citations, informal mentions) in scholarly works related to High Energy Physics. 1,411 research and software indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. The dataset contains indications by what approach the (re)use indications were found. 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>
Identification of Research Data and Software (re)Use Indications in High Energy Physics related Scholarly Works (1951 - 2018)
<p>This dataset contains research data and software (re)use indications in High Energy Physics related scholarly works. A minimal random sample of scholarly works that contain highly processed research data was taken from HEPData and manually read for research data and software (re)use indications. The sample contains 368 works, which were published between 1951 and 2018.</p> <p>The data was collected in 2019 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays
<p>Dear reader,</p> <p> </p> <p>Please find attached the input files (.xml) and their corresponding outputs for the Exciting calculations of the imaginary component of the dielectric tensor ("XAS".dat) for: InP, GaP, red P and InPO4 which have been used in our publication:"Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X rays". </p>
Predicting Pulsed Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - sample treated_213nm
<p>RHEED intensity image dataset of sample "<strong>treated_213nm"</strong> in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Core-Hole Spectroscopy of Energy Conversion and Storage-Related Phosphorus Compounds Using Soft and Hard X rays (Experimental XANES dataset)
<p>Dear readers,</p> <p>In the following, we provide the complete experimental X-ray absorption near-edge structure (XANES) spectroscopy dataset given in our investigation of: "Core-Hole Spectroscopy of Energy Conversion and Storage Related-Phosphorus Compounds Using Soft and Hard X-rays". This dataset includes partial fluorescence yield (PFY)-XANES at P <em>K</em>-edge and P <em>L</em><sub>2,3</sub>-edge of 9 solid P-containing compounds with different chemical environments and oxidation states ranging from P(-III) to P(V), namely: GaP, InP, red phosphorus (Red-P), H<sub>3</sub>PO<sub>3</sub>, Na<sub>2</sub>H<sub>2</sub>P<sub>2</sub>O<sub>6</sub>, H<sub>3</sub>PO<sub>4</sub>, KH<sub>2</sub>PO<sub>4</sub>, Na<sub>2</sub>HPO<sub>4</sub>, InPO<sub>4</sub>. Additionally, P <em>K</em>-edge XANES spectra of aqueous P-containing acids: 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>, 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub>, as well as the solution mixture of 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub> + 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>, and 0.1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>3</sub> + 1 mol dm<sup>-3</sup> H<sub>3</sub>PO<sub>4</sub>.</p>
Data Sources for Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries
<p><strong>Dataset Name:</strong><br> <em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries</em>.</p> <p><strong>Description:</strong><br> This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries' residential dwelling typologies.</p> <p><strong>Files:</strong><br> The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li> <em>[CountryName]_Schedules.xlsx:</em> Excel sheet containing the operation schedules for countries. The sheet is compiled from literature sources and reorganized by expert consensus and given in Designbuilder input format,</li> <li> <em>[CountryName]_Stock.xlsx:</em> Excel sheet containing additional data on the building stock,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> </ul> <p><strong>Usage:</strong><br> The dataset is intended for researching and analyzing the GCC countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br> The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br> If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. “Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.” Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.</p> <p><strong>Contact:</strong><br> The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"
<p>RHEED raw dataset and Gaussia fitting parameter dataset for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Fish can use coordinated fin motions to recapture their own vortex wake energy
<p>This data repository includes all the fish swimming data and metadata used to investigate how fish can recapture their own wake to improve swimming efficiency. Custom Matlab scripts developed to compute kinematics, pressure fields, and forces are available here.</p> <p><strong>Matlab scripts:</strong> The custom Matlab scripts developed to compute and analyze kinematics, velocimetry, pressure, and force data are in separate folders, including the master script and secondary functions. Pressure calculations from PIV data use the queen2 Matlab package available at ( <a href="http://dabirilab.com/software">http://dabirilab.com/software</a>).</p> <p><strong>Respirometry data (supplementary data): </strong>We provide the oxygen consumption data used in statistical analysis of the COT of each specimen in separate sheets in a single xlsx file. In addition to raw oxygen consumption data, each sheet includes metadata relative to experimental conditions and the magnitude of the relative flow speeds in body length per second tested during steady swimming trials. We also provide the rpm to flow velocity calibration used with our flume. Scaled original pictures of the fish used for respirometry experiments are available in .jpg format and include morphological information such as standard body length (BL) and fork length.</p> <p><strong>PIV data:</strong> High-resolution videos and velocity fields computed using DaVis are sorted by fish specimen and swimming speed. Additional metadata relative to the fish and experimental parameters (i.e., salinity, temperature) are included. Scaled original pictures of the fish used to conduct top-down PIV experiments are available in .jpg format and include morphological information such as standard body length (BL) and fork length.</p>
Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations
<p>Code and data to reproduce results in the EGU Ocean Science journal paper, entitled 'Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations'.</p> <p>The data and corresponding scripts in this repository are:</p> <ul> <li>MITgcm simulation data for an anticyclone and cyclone under absolute and relative wind stress. <ul> <li>ACE_eta_{absolute or relative}_10km_A25_v2_ext.nc</li> <li>ACE_tau_{absolute or relative}_10km_A25_v2_ext.nc</li> <li>ACE_temp_{absolute or relative}_10km_A25_v2_ext.nc</li> <li>CE_eta_{absolute or relative}_10km_A25_v2.nc</li> <li>CE_tau_{absolute or relative}_10km_A25_v2.nc</li> <li>CE_temp_{absolute or relative}_10km_A25_v2.nc</li> </ul> </li> <li>Mean energetics computed using eddy_energy_mean.m. User may need to comment out lines of code relating to wvel. This also requires geostrophic_uv.m, rho_ref.mat, and ocean_vertical_grid.nc. <ul> <li>{ACE or CE}_energy_{absolute or relative}_total_10km_A25_mean.nc</li> </ul> </li> <li>Predicted eddy energy computed using predict_*.m scripts. n.b. viscous term left in absolute scripts, though we only need the first index of total eddy energy in abs cases. The abs cases are really just making the abs.mat files, see time_series_plots.py.</li> <li>Time-series figures (3 and 5) produced using time_series_plots.py.</li> <li>Initial figures (1 and 2) produced using initial_plots.py.</li> <li>Relative vorticity in Fig. 4 computed and plotted using eddy_evolution_plot.py.</li> <li>Dissipation rates computed in calc_dissipation_rate.m. Requires dynmodes.m and GSW toolbox to run. Also needs data Chelton2011_Le.csv and Chelton2011_Rd.csv. <ul> <li>diss_rate*.nc</li> </ul> </li> <li>Dissipation rate and climatology figures (6, 7, 8, and 9) made in diss_rate_plot.py</li> </ul> <p>Information and data needed to run the MITgcm can be found <a href="https://github.com/thomaswilder/jpo_eddy-scripts">here</a>.</p>
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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.