cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6833336
title: SuperDARN data in netCDF format (1993-Dec)

description: 1993-Dec SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6833425
title: SuperDARN data in netCDF format (1993-Nov)

description: 1993-Nov SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6833488
title: SuperDARN data in netCDF format (1993-Oct)

description: 1993-Oct SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6832951
title: SuperDARN data in netCDF format (1994-Nov)

description: 1994-Nov SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6818470
title: Modification of the Loss Cone for Energetic Particles in the Earth's Inner Magnetosphere

description: Journal of Geophysical Research Computer generated data to study the shift of the loss cone
description: text files
DOI: 10.5281/zenodo.6832924
title: SuperDARN data in netCDF format (1994-Dec)

description: 1994-Dec SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6818469
title: Modification of the Loss Cone for Energetic Particles in the Earth's Inner Magnetosphere

description: Journal of Geophysical Research Computer generated data to study the shift of the loss cone
description: text files
DOI: 10.6084/m9.figshare.19915000.v1
title: A pharmacophylogenetic study on two Artemisia species (Artemisia argyi and Artemisia indica) via multi-perspective analysis

description: Positive and Negative Ion metabolism datas of <em>Artemisia argyi</em> and <em>Artemisia indica</em> at different stages (LC-MS) . <em>A. argyi</em> and <em>A. indica</em> were collected during the growing season of 2020 from an experimental field in Nanyang County (33°03’6.56” N, 112°49’36.91” E), Henan Province, China. <em>A. argyi</em> and <em>A. indica</em> leaves were obtained at three different growth stages: the early stage (April 6, 2020), middle stage (May 16, 2020), and later stage (June 26, 2020) .Freeze-dried leaves were crushed using a mixer mill for 1.5 min at 30 Hz. Then, 100 mg powder was extracted overnight at 4 °C using 1.0 mL 70% aqueous methanol. The extracts were filtered and analyzed using an ultra-performance liquid chromatography-electrospray ionization tandem mass spectrometry (UPLC-ESI-MS/MS) system (UPLC SHIMADZU Nexera X2; MS, Applied Biosystems 4500 Q TRAP). The analytical conditions were as follows: UPLC column, Agilent SB-C18 (1.8 µm, 2.1 mm×100 mm); solvent system, water (0.1% formic acid), acetonitrile (0.1% formic acid); gradient program, 95:5 v/v at 0 min, 5:95 v/v at 9.0 min, 5:95 v/v at 10.0 min, 95:5 v/v at 10.1 min, 95:5 v/v at 14 min; flow velocity, 0.35 mL/min; column oven, 40 °C; injection volume, 4 μL. The effluent was connected to an ESI-triple quadrupole-linear ion trap (QTRAP)-MS. The ESI source operation parameters were as follows: ion source, turbo spray; temperature, 550 °C; ion spray voltage, 5500 V/-4500 V; ion source gas I, gas II, and curtain gas were set at 50, 60 and 25.0 psi, respectively. Instrument tuning and mass calibration were performed with 10 and 100 μmol/L polypropylene glycol solutions in the triple quadrupole (QQQ) and linear ion trap (LIT) modes, respectively. The declustering potential and collision energy for individual multiple reaction monitoring (MRM) transitions were determined. A specific set of MRM transitions was monitored for each period according to the metabolites eluted during this period. Metabolite analyses were performed according to the reported method.Based on the self-built database MWDB (Metware Biotechnology Co., Ltd. Wuhan, China), and a public database of metabolite information, MS was used for qualitative and quantitative analysis of the samples’ metabolites.
DOI: 10.25405/data.ncl.20418519
title: A National Study of Burnout and Spiritual Health in UK General Practitioners During the COVID-19 Pandemic

description: This is a large (1318 participants) survey of UK General Practitioners during the Covid-19 pandemic via online survey, April/May 2021. This measured Maslach Burnout Inventory Scores and FACIT-Sp-NI scores (a burnout score, and a spiritual health score) as well as gathering data on gender as GMC, ethnicity, religion, number of sessions per week worked, length of service, area of service, and area of training.
DOI: 10.25405/data.ncl.20418519.v1
title: A National Study of Burnout and Spiritual Health in UK General Practitioners During the COVID-19 Pandemic

description: This is a large (1318 participants) survey of UK General Practitioners during the Covid-19 pandemic via online survey, April/May 2021. This measured Maslach Burnout Inventory Scores and FACIT-Sp-NI scores (a burnout score, and a spiritual health score) as well as gathering data on gender as GMC, ethnicity, religion, number of sessions per week worked, length of service, area of service, and area of training.
DOI: 10.6084/m9.figshare.16613527.v7
title: Geomorphology of the southwest Sinus Sabaeus region: evidence for an ancient hydrological cycle on Mars

description: We have produced a 1:650,000 scale geomorphological map of the southwest Sinus Sabaeus, a region of Mars approximately centered at 25.0<sup>°</sup>S and 6.5<sup>°</sup>E and located in the topographic transition between Arabia Terra and Noachis Terra, in the Martian highlands. This heavily cratered region, subjected to extensive surface erosion, shows a complex valley network system known as Marikh Vallis. In this work, we study the history and role of water in and around Marikh Vallis, focusing on the modification and evolution of this area during the earliest Martian times, the Noachian period. The map described in this paper was produced through the analysis of a combination of available imagery data, topography, and thermal inertia, which together allow defining different geomorphological units in this area. This new map provides a basis for identifying the ancient presence of water in the region, both in the liquid state and in the ice phase.
DOI: 10.11588/data/s0ks2i/rvxixi
title: Device-Data.zip

description: :unav
DOI: 10.11588/data/s0ks2i/mtxtnk
title: Pictures of Transistors.zip

description: :unav
DOI: 10.11588/data/s0ks2i/udrrdw
title: README.txt

description: :unav
DOI: 10.11588/data/s0ks2i/gbhs3h
title: NMR-raw data.zip

description: :unav
DOI: 10.6084/m9.figshare.20424951
title: Simulation: PreCracked Plate

description: The results are calculated with the FEM code FEAP 8.6 and an electro-mechanical phase-field element. <br> The result files (*.vtu) are for the Visualization Toolkit library (VTK, https://vtk.org/). The grafical frontend ParaView (https://www.paraview.org/) is used for visualisation and further data processing. <br> The data contain a ParaView state file (*.pvsm) and the field data along a path (*.csv), which are used for Fig. 10b. <br>
DOI: 10.6084/m9.figshare.20424924
title: Plotly.plus

description: Visualization recommendation is a novel and challenging field of study, whose aim is to provide non-expert users with automatic tools for insight discovery from data. Advances in this research area are hindered by the absence of reliable datasets on which to train the recommender systems. To the best of our knowledge, Plotly is the only publicly available dataset, but as complained by many authors and discussed in this article, it contains many labeling errors, which greatly limits its usefulness. We release an improved version of the original dataset, named Plotly.plus, which we obtained through an automated procedure with minimal post-editing. In addition to a manual validation by a group of data science students, we demonstrate that when training two basic classifiers on Plotly.plus, systems’ performance improves more than twice as much as when the original dataset is used, thus proving that models are able to find more regularities in the data.
DOI: 10.34740/kaggle/dsv/4024639
title: COVID Vaccination in World (updated daily)
DOI: 10.14278/rodare.1770
title: Data publication: Application of the Coordinate Transformation in Nodal Diffusion Calculations of Radially Expanding SFR Cores

description: DYN3D calculations (inputs + outputs).
DOI: 10.14278/rodare.1769
title: Data publication: Application of the Coordinate Transformation in Nodal Diffusion Calculations of Radially Expanding SFR Cores

description: DYN3D calculations (inputs + outputs).
DOI: 10.5525/gla.researchdata.1320
title: Experimental observation of violent relaxation and the formation of out-of-equilibrium quasi-stationary states.

description: The data inside the folder allow to reproduce the figures in the paper. It contains the field intensity propagation, the wigner calculated function for different powes of the laser beam and the energy density map.
DOI: 10.13020/xnd3-n131
title: Data for "Stability of Cubic Single Network Phases in Diblock Copolymer Melts"

description: This dataset contains the self-consistent field theory (SCFT) simulation results and data for geometric analysis in "Stability of cubic single networks in diblock copolymer melts" by Chen et. al. (DOI: 10.1002/pol.20220318). SCFT was used to investigate the stability of cubic single and double network phases. Geometric analysis, including the calculations of mean curvatures and interfacial areas per unit volume of the domain interface, was used to understand the metastability of the single network phases. With this dataset, users should be able to regenerate the calculations and figures that appeared in the paper.
DOI: 10.5517/ccdc.csd.cc2bg0tn
title: CCDC 2158431: Experimental Crystal Structure Determination

description: Related Article: M. Szafrański, Z. Tylczyński, M. Wiesner, P. Czarnecki, V.V. Ghazaryan, A.M. Petrosyan|2022|Materials and Design|220|110893|doi:10.1016/j.matdes.2022.110893
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg0vp
title: CCDC 2158432: Experimental Crystal Structure Determination

description: Related Article: M. Szafrański, Z. Tylczyński, M. Wiesner, P. Czarnecki, V.V. Ghazaryan, A.M. Petrosyan|2022|Materials and Design|220|110893|doi:10.1016/j.matdes.2022.110893
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg0wq
title: CCDC 2158433: Experimental Crystal Structure Determination

description: Related Article: M. Szafrański, Z. Tylczyński, M. Wiesner, P. Czarnecki, V.V. Ghazaryan, A.M. Petrosyan|2022|Materials and Design|220|110893|doi:10.1016/j.matdes.2022.110893
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg0xr
title: CCDC 2158434: Experimental Crystal Structure Determination

description: Related Article: M. Szafrański, Z. Tylczyński, M. Wiesner, P. Czarnecki, V.V. Ghazaryan, A.M. Petrosyan|2022|Materials and Design|220|110893|doi:10.1016/j.matdes.2022.110893
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2br419
title: CCDC 2167180: Experimental Crystal Structure Determination

description: Related Article: Megan C. Wasson, Haomiao Xie, Xingjie Wang, Joshua S. Duncan, Omar K. Farha|2022|CrystEngComm|24|5135|doi:10.1039/D2CE00650B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/icpsr38490
title: Data From The Annual University of Michigan Growth Capital Symposium, 1980-2021
title: Archival Version

description: This study contains the digitized content of the program information of the annual Michigan Growth Capital Symposium from 1980 through 2021. The data includes presentations by early stage companies (mostly from Michigan) seeking venture capital from investors (from Michigan and other states) who attended the program.
description: The purpose of this study is to provide information on the annual University of Michigan Growth Capital Symposium.
description: Datasets: DS1: Data From The Annual University of Michigan Growth Capital Symposium, 1980-2021
DOI: 10.3886/icpsr38490.v1
title: Data From The Annual University of Michigan Growth Capital Symposium, 1980-2021
title: Version 1

description: This study contains the digitized content of the program information of the annual Michigan Growth Capital Symposium from 1980 through 2021. The data includes presentations by early stage companies (mostly from Michigan) seeking venture capital from investors (from Michigan and other states) who attended the program.
description: The purpose of this study is to provide information on the annual University of Michigan Growth Capital Symposium.
description: Datasets: DS1: Data From The Annual University of Michigan Growth Capital Symposium, 1980-2021
DOI: 10.17638/datacat.liverpool.ac.uk/1767
title: Supporting Information for Thesis titled "Computational prediction of gel properties"

description: Data to support the findings in the PhD thesis by Jack Simpson entitled "Computational Prediction of Gel Properties"
DOI: 10.14278/rodare.1696
title: Dataset for Diamond formation kinetics in shock-compressed C-H-O samples recorded by small-angle X-ray scattering and X-ray diffraction

description: Dataset for publication "Diamond formation kinetics in shock-compressed C-H-O samples recorded by small-angle X-ray scattering and X-ray diffraction"
DOI: 10.14278/rodare.1695
title: Dataset for Diamond formation kinetics in shock-compressed C-H-O samples recorded by small-angle X-ray scattering and X-ray diffraction

description: Dataset for publication "Diamond formation kinetics in shock-compressed C-H-O samples recorded by small-angle X-ray scattering and X-ray diffraction"
DOI: 10.6084/m9.figshare.16613527.v9
title: Geomorphology of the southwest Sinus Sabaeus region: evidence for an ancient hydrological cycle on Mars

description: We have produced a 1:650,000 scale geomorphological map of the southwest Sinus Sabaeus, a region of Mars approximately centered at 25.0<sup>°</sup>S and 6.5<sup>°</sup>E and located in the topographic transition between Arabia Terra and Noachis Terra, in the Martian highlands. This heavily cratered region, subjected to extensive surface erosion, shows a complex valley network system known as Marikh Vallis. In this work, we study the history and role of water in and around Marikh Vallis, focusing on the modification and evolution of this area during the earliest Martian times, the Noachian period. The map described in this paper was produced through the analysis of a combination of available imagery data, topography, and thermal inertia, which together allow defining different geomorphological units in this area. This new map provides a basis for identifying the ancient presence of water in the region, both in the liquid state and in the ice phase.
DOI: 10.6084/m9.figshare.20425002
title: Simulation: Dogbone Tension

description: The results in the subdirectories are calculated with the FEM code FEAP 8.6 and an electro-mechanical phase-field element. <br> The four subdirectories contain the inputfiles (and associated files) for the simulations as well as - 00_create-parameter-study.sh, - collect-Ogden.py, - state.pvsm, - state2.pvsm. <br> The Linux shell script "00_create-parameter-study.sh" prepares the parameter studies into new subdirectories and drives the simulations. <br> The python script "collect-Ogden.py" collects the force-displacement results from the simulations, determine the critical loads and prepare the data file "Ogden.dat" <br> The ParaView state files (*.pvsm) help to visualise the simulations results (*.vtu) using the Visualization Toolkit library (VTK, https://vtk.org/). <br> <br> The gnuplot file "plot-el-potential.plt" is used to create Fig. 11b out of the parameter studies (http://www.gnuplot.info/). <br>