cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5529671
title: Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity

description: Simulation data to accompany the journal article "Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity" by Rettinger et al. (2021). The data set features the four simulation setups with varying degrees of polydispersity, denoted as mono, poly10, poly50, and poly100. Each setup has two subfolders: 'particle' and 'fluid'. The 'particle' folder contains files with particle-related quantities. The name of the file indicates the simulation time step. Each file contains seven columns of data: the x-, y-, and z-coordinate of the particle's center of mass, followed by its radius and the three translational velocity components <strong>u</strong><sub>p</sub> = (u<sub>x</sub>, u<sub>y</sub>, u<sub>z</sub>). Each row thus contains the instantaneous properties of a single particle. Additionally, the row-ordering between time steps remains the same, i.e., the x-th row always denotes the same particle. The 'fluid' folder contains files with fluid-related quantities. Again, the name denotes the simulation time step. Each file contains three columns of data: the three velocity components <strong>u</strong><sub>f</sub> = (u<sub>x</sub>,u<sub>y</sub>,u<sub>z</sub>) of the horizontally averaged flow field. Each row corresponds to a particular vertical (z-) coordinate, denoting the height above the bottom plane. This coordinate is given in the additional file 'height.txt'. All data is given in simulation units where the lattice Boltzmann unit system is used. Updated version: Added a jupyter notebook (in python) that exemplifies how vertical profiles, e.g., of solid volume fraction and fluid velocity, can be extracted from the provided data. Fix in fluid height profiles (height.txt).
DOI: 10.5281/zenodo.7857291
title: Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity

description: Simulation data to accompany the journal article "Rheology of mobile sediment beds in laminar shear flow: effects of creep and polydispersity" by Rettinger et al. (2022) in Journal of Fluid Mechanics. The data set features the four simulation setups with varying degrees of polydispersity, denoted as mono, poly10, poly50, and poly100. Each setup has two subfolders: 'particle' and 'fluid'. The 'particle' folder contains files with particle-related quantities. The name of the file indicates the simulation time step. Each file contains seven columns of data: the x-, y-, and z-coordinate of the particle's center of mass, followed by its radius and the three translational velocity components <strong>u</strong><sub>p</sub> = (u<sub>x</sub>, u<sub>y</sub>, u<sub>z</sub>). Each row thus contains the instantaneous properties of a single particle. Additionally, the row-ordering between time steps remains the same, i.e., the x-th row always denotes the same particle. The 'fluid' folder contains files with fluid-related quantities. Again, the name denotes the simulation time step. Each file contains three columns of data: the three velocity components <strong>u</strong><sub>f</sub> = (u<sub>x</sub>,u<sub>y</sub>,u<sub>z</sub>) of the horizontally averaged flow field. Each row corresponds to a particular vertical (z-) coordinate, denoting the height above the bottom plane. This coordinate is given in the additional file 'height.txt'. All data is given in simulation units where the lattice Boltzmann unit system is used. Updated version 1: Added a jupyter notebook (in python) that exemplifies how vertical profiles, e.g., of solid volume fraction and fluid velocity, can be extracted from the provided data. Fix in fluid height profiles (height.txt). Updated version 2: Added missing last column (z-velocity) to the particle data. Maintained consistent ordering of entries in particle data throughout all time steps.
DOI: 10.5281/zenodo.7425438
title: Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)

description: The dataset for the article:<br> Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs) Authors:<br> Anne P. Rasmussen, Gabi Wenzel, Liv Hornekær, and Lars H. Andersen DOI:<br> 10.1051/0004-6361/202346003 Journal:<br> A&A #-------------------------------------------------------------------------------------- Folders:<br> - Fig3_action_spectra contains the action spectra data for all five molecules (Fig. 3)<br> - Fig4_histograms contains the histograms for all five molecules (Fig. 4)<br> - Fig5_daughtermass_spectra contains the daughter mass data for pentacenequinone and phenanthrenequinone (Fig. 5)<br> - FigB1_photon_dependence contains the photon dependence data for all five molecules (Fig. B1) #-------------------------------------------------------------------------------------- This work has been supported by the Danish National Research Foundation through the Center of Excellence “InterCat” (Grant Agreement no.: DNRF150).
DOI: 10.5281/zenodo.7425437
title: Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)

description: The dataset for the article:<br> Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs) Authors:<br> Anne P. Rasmussen, Gabi Wenzel, Liv Hornekær, and Lars H. Andersen DOI:<br> 10.1051/0004-6361/202346003 Journal:<br> A&A #-------------------------------------------------------------------------------------- Folders:<br> - Fig3_action_spectra contains the action spectra data for all five molecules (Fig. 3)<br> - Fig4_histograms contains the histograms for all five molecules (Fig. 4)<br> - Fig5_daughtermass_spectra contains the daughter mass data for pentacenequinone and phenanthrenequinone (Fig. 5)<br> - FigB1_photon_dependence contains the photon dependence data for all five molecules (Fig. B1) #-------------------------------------------------------------------------------------- This work has been supported by the Danish National Research Foundation through the Center of Excellence “InterCat” (Grant Agreement no.: DNRF150).
DOI: 10.5281/zenodo.7857307
title: wine data records

description: A lot of wine data records
DOI: 10.5281/zenodo.7857306
title: wine data records

description: A lot of wine data records
DOI: 10.6084/m9.figshare.22680436
title: Monte Carlo Simulation Results

description: This repository includes detailed results from Monte Carlo simulations carried out as part of the final year project entitled "Generation Adequacy in a Highly Renewable Power System". Each file contains a "Case" column which describes the scenario investigated, indicating the variation in each scenario relative to the reference case (REF).
DOI: 10.5281/zenodo.5642868
title: AirQualityCOVID-dataset

description: This repository contains all the data used for the article "Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain", submitted to Environmental Software & Modelling by J. González-Pardo et al. (2022) published in Science of the Total Environment (STOTEN). For the sake of reproducibility, it includes Jupyter notebooks with worked examples which allow to reproduce the results shown in that paper. Contact: jaime.diez.gp@gmail.com During the course of this research the pyaemet python library has been developed in order to download daily meteorological observations from the Spanish Met Service (AEMET) via its OpenData API REST and it is needed to perform the data curation process. This research was developed in the framework of the project “Contaminación atmosférica y COVID-19: ¿Qué podemos aprender de esta pandemia?”, selected in the Extraordinary BBVA Foundation grant call for SARS-CoV-2 and COVID-19 research proposals, within the area of ecology and veterinary science.
DOI: 10.5281/zenodo.5642867
title: AirQualityCOVID-dataset

description: This repository contains all the data used for the article "Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain", submitted to Environmental Software & Modelling by J. González-Pardo et al. (2022) published in Science of the Total Environment (STOTEN). For the sake of reproducibility, it includes Jupyter notebooks with worked examples which allow to reproduce the results shown in that paper. Contact: jaime.diez.gp@gmail.com During the course of this research the pyaemet python library has been developed in order to download daily meteorological observations from the Spanish Met Service (AEMET) via its OpenData API REST and it is needed to perform the data curation process. This research was developed in the framework of the project “Contaminación atmosférica y COVID-19: ¿Qué podemos aprender de esta pandemia?”, selected in the Extraordinary BBVA Foundation grant call for SARS-CoV-2 and COVID-19 research proposals, within the area of ecology and veterinary science.
DOI: 10.6084/m9.figshare.22680508
title: Scripts for running HDMKPRF

description: Scripts and parameters to run HDMKPRF
DOI: 10.6084/m9.figshare.3761562.v2565
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc2c02r7
title: CCDC 2174828: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Takegasa, Ming Min Lee, Kei Tokuhiro, Ryo Nakano, Makoto Yamashita|2022|Chem.-Eur.J.|28|e202201870|doi:10.1002/chem.202201870
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.cc2c02t9
title: CCDC 2174830: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Takegasa, Ming Min Lee, Kei Tokuhiro, Ryo Nakano, Makoto Yamashita|2022|Chem.-Eur.J.|28|e202201870|doi:10.1002/chem.202201870
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.cc2c02vb
title: CCDC 2174831: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Takegasa, Ming Min Lee, Kei Tokuhiro, Ryo Nakano, Makoto Yamashita|2022|Chem.-Eur.J.|28|e202201870|doi:10.1002/chem.202201870
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.cc2c02wc
title: CCDC 2174832: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Takegasa, Ming Min Lee, Kei Tokuhiro, Ryo Nakano, Makoto Yamashita|2022|Chem.-Eur.J.|28|e202201870|doi:10.1002/chem.202201870
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.cc2c02xd
title: CCDC 2174833: Experimental Crystal Structure Determination

description: Related Article: Shinnosuke Takegasa, Ming Min Lee, Kei Tokuhiro, Ryo Nakano, Makoto Yamashita|2022|Chem.-Eur.J.|28|e202201870|doi:10.1002/chem.202201870
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.cc2c036q
title: CCDC 2174842: Experimental Crystal Structure Determination

description: Related Article: Martina Landrini, Elena De Paolis, Alceo Macchioni, Leonardo Tensi, Peter Hrobárik, Luca Rocchigiani|2022|Eur.J.Inorg.Chem.|2022|e202200373|doi:10.1002/ejic.202200373
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.cc2c037r
title: CCDC 2174843: Experimental Crystal Structure Determination

description: Related Article: Martina Landrini, Elena De Paolis, Alceo Macchioni, Leonardo Tensi, Peter Hrobárik, Luca Rocchigiani|2022|Eur.J.Inorg.Chem.|2022|e202200373|doi:10.1002/ejic.202200373
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.cc2bkd3f
title: CCDC 2161664: Experimental Crystal Structure Determination

description: Related Article: Michał Tryniszewski, Michał Barbasiewicz|2022|CSD Communication|||
description: Related Article: Damian Antoniak, Bartosz Pałuba, Tymoteusz Basak, Kacper Błaziak, Michał Barbasiewicz|2022|Chem.-Eur.J.|28|e202201153|doi:10.1002/chem.202201153
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.cc2bkd4g
title: CCDC 2161665: Experimental Crystal Structure Determination

description: Related Article: Michał Tryniszewski, Michał Barbasiewicz|2022|CSD Communication|||
description: Related Article: Damian Antoniak, Bartosz Pałuba, Tymoteusz Basak, Kacper Błaziak, Michał Barbasiewicz|2022|Chem.-Eur.J.|28|e202201153|doi:10.1002/chem.202201153
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.cc2bkd5h
title: CCDC 2161666: Experimental Crystal Structure Determination

description: Related Article: Michał Tryniszewski, Michał Barbasiewicz|2022|CSD Communication|||
description: Related Article: Damian Antoniak, Bartosz Pałuba, Tymoteusz Basak, Kacper Błaziak, Michał Barbasiewicz|2022|Chem.-Eur.J.|28|e202201153|doi:10.1002/chem.202201153
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.cc2bkd6j
title: CCDC 2161667: Experimental Crystal Structure Determination

description: Related Article: Michał Tryniszewski, Michał Barbasiewicz|2022|CSD Communication|||
description: Related Article: Damian Antoniak, Bartosz Pałuba, Tymoteusz Basak, Kacper Błaziak, Michał Barbasiewicz|2022|Chem.-Eur.J.|28|e202201153|doi:10.1002/chem.202201153
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.cc2c07xk
title: CCDC 2174988: Experimental Crystal Structure Determination

description: Related Article: Hao Deng, Marco Bengsch, Nico Tchorz, Constanze N. Neumann|2022|Chem.-Eur.J.|28|e202202074|doi:10.1002/chem.202202074
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.cc2c07yl
title: CCDC 2174989: Experimental Crystal Structure Determination

description: Related Article: Hao Deng, Marco Bengsch, Nico Tchorz, Constanze N. Neumann|2022|Chem.-Eur.J.|28|e202202074|doi:10.1002/chem.202202074
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.cc2c07zm
title: CCDC 2174990: Experimental Crystal Structure Determination

description: Related Article: Hao Deng, Marco Bengsch, Nico Tchorz, Constanze N. Neumann|2022|Chem.-Eur.J.|28|e202202074|doi:10.1002/chem.202202074
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.cc2c0crj
title: CCDC 2175107: Experimental Crystal Structure Determination

description: Related Article: Jingjing Tong, Yue Cao, Yi‐Wen Zhang, Peng Wang, Penglong Wang, Xiang‐Ji Liao, Weigang Zhang, Yi Wang, You‐Xuan Zheng, Jun‐Jie Zhu, Yi Pan|2022|Angew.Chem.,Int.Ed.|61|e202209438|doi:10.1002/anie.202209438
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.cc2c0hnk
title: CCDC 2175228: Experimental Crystal Structure Determination

description: Related Article:  Peng‐Fei Yang, Wei Shu|2022|Angew.Chem.,Int.Ed.|61|e202208|doi:10.1002/anie.202208018
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.cc2bmdky
title: CCDC 2163600: Experimental Crystal Structure Determination

description: Related Article: Hongtao Cheng, Qian Wang, Junfeng Bai|2023|Chem.-Eur.J.|29|e202202047|doi:10.1002/chem.202202047
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.cc2c0j64
title: CCDC 2175245: Experimental Crystal Structure Determination

description: Related Article: Jingjing Tong, Yue Cao, Yi‐Wen Zhang, Peng Wang, Penglong Wang, Xiang‐Ji Liao, Weigang Zhang, Yi Wang, You‐Xuan Zheng, Jun‐Jie Zhu, Yi Pan|2022|Angew.Chem.,Int.Ed.|61|e202209438|doi:10.1002/anie.202209438
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.cc2c0j75
title: CCDC 2175246: Experimental Crystal Structure Determination

description: Related Article: Jingjing Tong, Yue Cao, Yi‐Wen Zhang, Peng Wang, Penglong Wang, Xiang‐Ji Liao, Weigang Zhang, Yi Wang, You‐Xuan Zheng, Jun‐Jie Zhu, Yi Pan|2022|Angew.Chem.,Int.Ed.|61|e202209438|doi:10.1002/anie.202209438
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.cc2c0jhf
title: CCDC 2175254: Experimental Crystal Structure Determination

description: Related Article: Jingjing Tong, Yue Cao, Yi‐Wen Zhang, Peng Wang, Penglong Wang, Xiang‐Ji Liao, Weigang Zhang, Yi Wang, You‐Xuan Zheng, Jun‐Jie Zhu, Yi Pan|2022|Angew.Chem.,Int.Ed.|61|e202209438|doi:10.1002/anie.202209438
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.cc2c0kgf
title: CCDC 2175284: Experimental Crystal Structure Determination

description: Related Article: Felix Full, Quentin Wölflick, Krzysztof Radacki, Holger Braunschweig, Agnieszka Nowak‐Król|2022|Chem.-Eur.J.|28|e202202280|doi:10.1002/chem.202202280
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: 10.34740/kaggle/ds/3173481
title: Semantic Substation - Reclosers
DOI: 10.34740/kaggle/dsv/5500570
title: #ChatGPT 1000 Daily 🐦 Tweets