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431 results for “EVs”
Energy Levels of ThII in the range of 7 to 10 eV
<p>Data is presented on 166 previously unknown energy levels of Th+ ions, observed using resonant two-step laser excitation of trapped ions. The levels are of even parity and within the energy range from 7.8 to 9.8 eV. Observed lines are listed.<br> The observed levels can be relevant for the excitation or decay of the Th-229m isomeric nuclear state which lies in this energy range.</p>
EV Charging Schedules (V1G, V2G)
<p>This dataset is related to the application of different EV charging policies by a smart charging software application. The dataset consists of the following three files: charging_requests.xlsx, dynamic_prices.csv, and charging_results.xlsx.</p> <p>charging_requests: This is an input file, which contains characteristics of five EV charging sessions, related to arrival time, session duration and EV battery capacity and requested energy.</p> <p>dynamic_prices: This is an input file, which contains simulated dynamic electricity prices for a specific day. Data are used for calculating cost and applying cost-based policies.</p> <p>charging_results: This is the output file that contains the derived 15-min interval schedules for the five sessions after applying four different policies, namely, cost-optimal, time-optimal, multi-objective, and V2G. The time series consists of the amount of power (Watt) which is delivered to the EVs or provided by the EVs, at each timestamp.</p>
Diffuse reflectance spectra of coated plates and corresponding plots transformed Kubelka-Munk function versus the energy of light (eV)
<p>The link contains UV-DRS results of TiO<sub>2</sub>/Fe<sub>2</sub>O<sub>3</sub> layered composites (from commercial nanoparticles) and corresponding bandgap energies</p>
Analysis of EV Fires from Accesible Public Domain Data
<p>The incidents of EV fires have been collated from publicly accessible data, aiming to offer insights into potential EV fires in the future. The dataset also includes causes as determined from the reports analyzed.</p>
ePSproc: CH3I wavefn test run, orb 30 ioinzation (pi anti-bonding), 1 - 60 eV
CH3I wavefn test run, orb 30 ioinzation (pi anti-bonding), 1 - 60 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb30_E.html">https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb30_E.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: CH3I wavefn test run, orb 29 ioinzation (sigma bonding, A1), 1 - 60 eV
CH3I wavefn test run, orb 29 ioinzation (sigma bonding, A1), 1 - 60 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb29_A1.html">https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb29_A1.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: xef2 wavefn run, orb 12 ioinzation (Iodine 3d, A1G/SG), 1-60eV
xef2 wavefn run, orb 12 ioinzation (Iodine 3d, A1G/SG), 1-60eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb12_A1G.html">https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb12_A1G.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: xef2 wavefn run, orb 13 ioinzation (Iodine 3d, E1G/PG), 1-60eV
xef2 wavefn run, orb 13 ioinzation (Iodine 3d, E1G/PG), 1-60eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb13_E1G.html">https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb13_E1G.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Naphthalene HOMO Orb 34 (Au) ionization, 1.0 - 30.1 eV
Naphthalene HOMO Orb 34 (Au) ionization, 1.0 - 30.1 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-30.1eV_orb34.html">https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-30.1eV_orb34.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Naphthalene HOMO Orb 34 (Au) ionization, 1-10eV
Naphthalene HOMO Orb 34 (Au) ionization, 1-10eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-10.1eV_orb34.html">https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-10.1eV_orb34.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Naphthalene S1 component Orb 34 > 42 (B3u) ionization, 1.0 - 30.1 eV
Naphthalene S1 component Orb 34 > 42 (B3u) ionization, 1.0 - 30.1 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-30.1eV_orb34-42_S1.html">https://phockett.github.io/ePSdata/naphthalene/naphthalene_wf_1.0-30.1eV_orb34-42_S1.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
EV UAV
<p>Event Videos of Unmanned Aerial Vehicles (UAVs) with RGB camera recording.</p><p>Recordings of Quadcopter drones using a Dynamic Vision Sensor camera with 1280x720p resolution.</p><p> </p><p> </p>
Equitable Access to Residential (EQUATOR) EV Charging: Optimal Investments in EV charging
<p>This folder comprises Julia codes produced to determine optimal investments in EV charging for Equitable Access to Residential (EQUATOR) EV Charging project. The file descriptions are below:</p> <p> </p> <p>1. Generator.csv: contains generator data for all the generators in the Manhattan power network</p> <p>2. Node.csv: contains the load data for each bus in the Manhattan power network</p> <p>3. Line.csv: contains technical line parameters for all the lines in the Manhattan power network</p> <p>4. NetworkDataType.jl and NetworkLoad.jl: Julia files to process csv data and design the Manhattan power grid</p> <p>5. Justice_LL.jl: Justice modeling of the power utility</p> <p>6. Justice_Case1_fixed.jl: Julia file for determining optimal investments in EV charging in Manhattan.</p>
Dataset: Lobo EV Technologies Ltd. (LOBO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Elastic electron scattering cross sections of ethanol in the energy range 30 eV to 800 eV: Differential (DCS), Integral (ICS) and Momentum Transfer Cross Sections (MTCS)
<h3>Cross section datasets on the elastic electron scattering of ethanol from our publication Eur. Phys. J. D 77, 52 (2023)</h3> <p>The elastic differential cross sections (DCS) are given in the energy range 30-800 eV in the full angular range: 30°-150° experimental, 0°-25° and 155°-180° extrapolated experimental data using the IAM-SCAR+I model.</p> <p>The integral elastic (ICS) and momentum transfer cross sections (MTCS) are given for energies 60-800 eV.</p> <p>Additional information can be found in the README.txt or the publication.</p>
Differential elastic and ionization cross sections of electron - N2O scattering in the energy range 30 - 800 eV
<h2>Datasets on the electron- elastic and electron-impact ionization cross sections of N2O</h2> <h3>Elastic Cross Sections</h3> <p>Elastic differential (DCS) as well as integral (ICS) and momentum transfer (MTCS) cross sections are given in the energy range 30-800eV and angular range 20°-150° (experimental), 0°-20° and 155°-180° (extrapolated experimental data using the IAM-SCAR+I model)</p> <h3>Ionization Cross Sections</h3> <p>Doubly differential electron-impact ionization cross sections (DDCS) are given for primary energies T=30-800 eV and secondary energies up to (T-I)/2, where I is the ionization threshold. The angular range of the measurements is 30°-150°.</p> <p>The singly differential cross sections (SDCS) and total ionization cross sections (TICS) were numerically integrated from the DDCS.</p> <p> </p> <p>Additional Information can be found in the README.</p>
EV Data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.