Find research datasets worth reusing

opencc-by-4.0Oct 2021View details →

Data files for the publication "Charge transfer across C-H---O hydrogen bonds stabilizes oil droplets in water"

This dataset includes text/dat files for all the data included in the manuscript " Charge transfer across C-H---O hydrogen bonds stabilizes oil droplets in water".

opencc-by-4.0Apr 2022View details →

Data Sets for "Online Charge Measurement for Petawatt Laser-Driven Ion Acceleration" (submitted manuscript)

The data presented in the paper titled  "Online Charge Measurement for Petawatt Laser-Driven Ion Acceleration" is provided in this data repository. The data is sorted into subfolders according to their presentation in the figures of the paper.

opencc-by-4.0Apr 2024View details →

Data in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations"

Data and codes to replicate the results and the figures presented in "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations"

restrictedcc-by-4.0Jul 2024View details →

Raw Data files for publication: " A matter of design and coupling: High indoor charging efficiencies with organic solar modules direct coupled to a sodium ion battery"

Supporting raw data for the publication linked below:  Inclusive of <ul> <li>spectral data of light sources </li> <li>LED calibration data </li> <li>PV characterization data under LED and AM1.5 </li> <li>battery characterization data and charge-discharge data</li> </ul>

opencc-by-4.0Nov 2019View details →

Numerical simulations on electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma

Numerical and observational data presented in Miyake et al. (2019): Electron wing-like structures formed at a negatively-charged spacecraft moving in a magnetized plasma. The format of the dataset is described in the PDF document (2019JA027379_supporting_information.pdf).

restrictedcc-by-4.0Aug 2024View details →

X-ray Diffraction Data Investigating Charge Density Waves in CsV3Sb5

<h1>## Description of DFXM data on CsV3Sb5 collected at 6 ID-C of the Advanced Photon Source of Argonne National Lab ##</h1> <h2>Overview</h2> This repository contains darkfield X-ray microscopy images of CsV3Sb5 collected at the (1/2 1/2 1/4), (1/2 1/2 1/2), (1 1 2), and (2 2 0) Bragg peaks. The experiment was conducted at Sector 6-ID-C of the Advanced Photon Source (APS) at Argonne National Laboratory in March of 2023.  Corresponding APS beamline scientist: Zahir Islam <h1># Data Structure</h1> The data is labeled with a prefix to establish the author, experiment type, and experiment date:     JPlumb-DFXM-Mar2023 Within each experimental folder, there are several subdirectories that contain relevant experimental files:     "data" Folder:         Contains subfolders labeled by scan numbers in the format S### (e.g., S001, S002).         Raw data is collected and stored as 16-bit grayscale TIFF images.         Each scan represents either a single rocking curve imaging (RCI) scan, with a stack of images that were taken at various theta positions for a given sample location and two theta Bragg angle, or a time series scan that contains a stack of images taken over time, at a static theta position, and with variying sample temperature.      See Scan Group description below to learn which type of scan each folder represents.     "logs" Folder:         Contains experimental logbooks.     "structureFiles" Folder:         Contains .cif files with lattice parameters of different material structures (alpha and beta phases of NaMnO2).     "referenceImages" Folder:         Includes optical microscope images of the sample in the as-measured state for reference.     "motors" Folder:         Contains CSV files corresponding to each scan folder. These files include motor positions (theta, two-theta, XYZ) and other relevant experimental parameters.     "scripts" Folder:         Contains basic analysis scripts for different scan groupings. Scans are grouped based on similarities and the intent behind their measurements.     "cryostatData" Folder:         Contains data from the cryostat, recording sample temperature at various times throughout the experiment.     "results" Folder:         Contains pre-processed maximum intensity projection images for each scan, providing a quick overview of the collected data. December 2023 Experiment Scan Groups Scan Group A:     hkl - (0.5, 0.5, 0.25)     # of Scans - 1     Scan #s - 1     Temperature - 3.2 K     Exposure Time - 10 seconds     X-ray Energy - 20 keV     Total Magnification - 26x     Effective Pixel Size - 2.115 um/pixel     Description - Single scan used for quick code testing. Scan Group B:     hkl - (0.5, 0.5, 0.25)     # of Scans - 121     Scan #s - 1 to 121     Temperature - 3.2 K     Exposure Time - 10 seconds     X-ray Energy - 20 keV     Total Magnification - 26x     Effective Pixel Size - 2.115 um/pixel     Description - 0.25L peak RCI scans collected over an array of sample locations  Scan Group C:     hkl - (0.5, 0.5, 0.5)     # of Scans - 121     Scan #s - 122 to 242     Temperature - 3.2 K     Exposure Time - 10 seconds     X-ray Energy - 20 keV     Total Magnification - 26x     Effective Pixel Size - 2.115 um/pixel     Description - 0.5L peak RCI scans collected over an array of sample locations Scan Group D:     hkl - (1, 1, 2)     # of Scans - 1     Scan #s - 243     Temperature - 3.2 K     Exposure Time - 25 seconds     X-ray Energy - 20 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - High-resolution, fine RCI of structural peak Scan Group E:     hkl - (2, 2, 0)     # of Scans - 1     Scan #s - 244     Temperature - 3.2 K     Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - High-resolution, fine RCI of structural peak Scan Group F:     hkl - (2, 2, 0)     # of Scans - 3     Scan #s - 245 to 247     Temperature - 3.2 K     Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Coarse RCI of structural peak taken at 3 x positions at 3.2 K Scan Group G:     hkl - (2, 2, 0)     # of Scans - 3     Scan #s - 248 to 250     Temperature - 87 K     Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Coarse RCI of structural peak taken at 3 x positions at 87 K Scan Group H:     hkl - (2, 2, 0)     # of Scans - 3     Scan #s - 251 to 253     Temperature - 120 K     Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Coarse RCI of structural peak taken at 3 x positions at 120 K Scan Group I:     hkl - (2, 2, 0)     # of Scans - 6     Scan #s - 254 to 259     Temperature - 93 K, 94 K, 94.1 K, 94.2 K, 94.3 K, 94.4 K     Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Coarse RCI taken at various temperatures through the transition (warming) Scan Group J:     hkl - (2, 2, 0)     # of Scans - 1     Scan #s -      Temperature -      Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Static theta images taken continuously during warming from 89.4 K and up Scan Group K:     hkl - (2, 2, 0)     # of Scans - 1     Scan #s -      Temperature -      Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Static theta images taken continuously during warming from 96 K and up Scan Group L:     hkl - (2, 2, 0)     # of Scans - 1     Scan #s -      Temperature -      Exposure Time - 5 seconds     X-ray Energy - 22 keV     Total Magnification - 130x     Effective Pixel Size - 0.050 um/pixel     Description - Static theta images taken continuously during warming from 126 K and up <h2># Data Processing and Analysis</h2> Standard DFXM data processing involves fitting a Gaussian curve to the theta-dependent intensity curve of each pixel in a rocking curve imaging scan. Plotting various gaussian fit parameters for each pixel creates parameter maps that highlight different sources of contrast. Basic analysis scripts (ex. MR23_SGA_basicAnalysis.py) are included for all scan groups in this repository. All analysis is done in Python 3, using various free packages and self-defined scripts are stored in a sub folder named DiffractionMaster. The code is updated as of June 2024. <h2># Contact Information</h2> For any questions or further information, please contact:     Jayden C. Plumb: jaydencplumb@gmail.com This dataset and associated documentation are part of research conducted at the Advanced Photon Source, Argonne National Laboratory and funded through the National Science Foundation and Department of Energy and under the supervision of host institution UC Santa Barbara. Please cite appropriately if used in your work.   <h1>## Description of HDRM data on CsV3Sb5 collected at ID4B QM2 of the Cornell High Energy Synchrotron Source ##</h1> <h2>Overview</h2> This repository also contains high dynamic range mapping analysis data of CsV3Sb5 collected in the 35 K to 300 K range at different cooling rates. The experiment was conducted at the QM2 beamline of the Cornell High Energy Synchrotron Source (CHESS) in February of 2023. Corresponding CHESS beamline scientist: Suchi Sarker. X-TEC machine learning algorithm was perform by Krishnanand  Mallayya. Magnetic characterization accompaning the diffraction data on three samples of the batch was performed by Andrea Capa Salinas at the Materials Research Lab's Low Temperature facilities at UC Santa Barbara. <h1># Data structure and analysis</h1> "HDRM_Repository_Data" folder contains both: X-TEC analysis of HDRM data, and magnetization data. .txt files have the naming: "CrystalX_Fast/Slow_cool_CDW" and correspond to X-TEC analysis data with straightforward naming. Each can have up to four columns. Column objects are: T (K): Temperature 2x2x2:  Cluster average intensity for a half-type peaks whose average intensity tracks a similar temperature-dependent trajectory 2x2x2+2x2x4: Cluster average intensity for a half-type peaks mixed with quarter-type peaks whose average intensity tracks a similar temperature-dependent trajectory. .dat files have the naming: "GP-CVS-1-X-mass(mg)_FC/ZFC-field(Oe)" and have the standard Quantum Design MPMS3 data file format. We extract "Temperature (K)", "Magnetic Field (Oe)" and "Moment (emu)" to calculate magnetic susceptibility and volumetric susceptibility of three samples in the batch used for HDRM and DFXM experiments.

openAug 2024View details →

Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations"

Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations", including data, codes and figures.

SPARCS_WP4_Leipzig_Baumwollspinnerei_EV Peak Charging Loads

Sum of the peak loads for EV charging from the two Waltherwerke wallboxes and the Kostal wallboxes

SPARCS_WP4_Leipzig_City_Number of bidirectional EV charging points

Number of bidirectional EV charging points in the city of Leipzig with annually captured data for the period between 2017 and 2024

SPARCS_WP4_Leipzig_City_Number of smart EV charging points

Number of smart EV charging points in the city of Leipzig with annually captured data for the period between 2019 and 2024

SPARCS_WP3_Espoo_Sello_Charging stations at Sello shopping centre

Number of charging stations for private vehicles at Sello shopping centre

SPARCS-WP3_Espoo_City_Number of (semi)public EV charging points in Espoo area

Number of (semi)public EV charging points in Espoo area.

openAug 2024View details →

Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations"

Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations", including data, codes and figures.

Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)

Data set containing molecular dynamics (MD) simulations performed with <a href="https://www.gromacs.org/">Gromacs</a> to investigate the effect of salt concentration on the atomistic structure and dynamics of tetraglyme-LiTFSI liquid electrolytes in the vicinity of charged, graphite-like model electrodes. The model electrodes carry a surface charge of +/- 1.00 e/nm². LiTFSI = Lithium bis(trifluoromethanesulfonyl)imide, sometimes also abbreviated as Li[NTf2]. The data set contains: <ul> <li>Gromacs input and output files (except trajectories due to their huge filesize)</li> <li>Processed data</li> </ul>

Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)

Data set containing molecular dynamics (MD) simulations performed with <a href="https://www.gromacs.org/">Gromacs</a> to investigate the effect of salt concentration on the atomistic structure and dynamics of monoglyme-LiTFSI liquid electrolytes in the vicinity of charged, graphite-like model electrodes. The model electrodes carry a surface charge of +/- 1.00 e/nm². LiTFSI = Lithium bis(trifluoromethanesulfonyl)imide, sometimes also abbreviated as Li[NTf2]. The data set contains: <ul> <li>Gromacs input and output files (except trajectories due to their huge filesize)</li> <li>Processed data</li> </ul>

Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths and Salt Concentrations Confined Between Charged Electrodes With Various Surface Charges: Plots

Plots of the data contained in the data sets <ul> <li>Uncharged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13164944">https://doi.org/10.5281/zenodo.13164944</a>: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165450">https://doi.org/10.5281/zenodo.13165450</a>: Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165725">https://doi.org/10.5281/zenodo.13165725</a>: Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13166024">https://doi.org/10.5281/zenodo.13166024</a>: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> </ul> </li> <li>Charged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13166152">https://doi.org/10.5281/zenodo.13166152</a>: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167128">https://doi.org/10.5281/zenodo.13167128</a>: Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167338">https://doi.org/10.5281/zenodo.13167338</a>: Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167551">https://doi.org/10.5281/zenodo.13167551</a>: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167614">https://doi.org/10.5281/zenodo.13167614</a>: Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes With Various Surface Charges</li> </ul> </li> </ul>

Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes With Various Surface Charges

Data set containing molecular dynamics (MD) simulations performed with <a href="https://www.gromacs.org/">Gromacs</a> to investigate the effect of polymer chain length and electrode surface charge on the atomistic structure and dynamics of PEO-LiTFSI polymer electrolytes in the vicinity of charged, graphite-like model electrodes. The model electrodes carry a surface charge of +/- 0.25 e/nm², +/- 0.50 e/nm² and +/- 0.75 e/nm². Data for surface charges of +/- 0.00 e/nm² and +/- 1.00 e/nm² are contained in <a href="https://doi.org/10.5281/zenodo.13164944">https://doi.org/10.5281/zenodo.13164944</a> and <a href="https://doi.org/10.5281/zenodo.13166152">https://doi.org/10.5281/zenodo.13166152</a>, respectively. PEO = Methoxy-terminated poly(ethylene oxide), sometimes also abbreviated as PEGDME for polyethylene glycol dimethyl ether LiTFSI = Lithium bis(trifluoromethanesulfonyl)imide, sometimes also abbreviated as Li[NTf2]. The data set contains: <ul> <li>Gromacs input and output files (except trajectories due to their huge filesize)</li> <li>Processed data</li> </ul>

Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes (+/- 1.00 e/nm²)

Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)

Data set containing molecular dynamics (MD) simulations performed with <a href="https://www.gromacs.org/">Gromacs</a> to investigate the effect of salt concentration on the atomistic structure and dynamics of PEO-LiTFSI polymer electrolytes in the vicinity of charged, graphite-like model electrodes. The model electrodes carry a surface charge of +/- 1.00 e/nm². PEO = Methoxy-terminated poly(ethylene oxide), sometimes also abbreviated as PEGDME for polyethylene glycol dimethyl ether LiTFSI = Lithium bis(trifluoromethanesulfonyl)imide, sometimes also abbreviated as Li[NTf2]. The data set contains: <ul> <li>Gromacs input and output files (except trajectories due to their huge filesize)</li> <li>Processed data</li> </ul>