cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7904011
title: Scenario Configurations for Simulating Organic Aerosol in Delhi using WRF-Chem and a VBS Approach

description: Parameter configuration files for a study into the sensitivity of model predictions (in this case WRF-Chem) of organic aerosol mass loadings, and composition, to organic aerosol production processes. The production processes for both anthropogenic (ANTH) and biomass burning (BB) generated organic aerosols are investigated. 5 production processes are perturbed for each, making a total of 10 parameters for the whole study. The production processes are: VBS aging rate (VBS_AGERATE): the reaction rate of VBS compounds with OH. Expressed as a reaction rate in cm<sup>3</sup> molec.<sup>-1</sup> s<sup>-1</sup>. SVOC volatility distribution (SVOC_VOLDIST): expressed in terms of an equivalent age (dimensionless between 0-1). This is translated using a simple aging model into a volatility distribution for the emitted VBS compounds. SVOC oxidation rate (SVOC_OXRATE): the degree of oxidation that occurs with, or is induced by, each reaction with an OH molecule. Range is 0.075 (one extra oxygen atom) to 0.45 (six extra oxygen atoms). IVOC scaling (IVOC_SC): scaling factor for emissions of IVOC's alongside the SVOC's. Initial IVOC emitted amount is taken to be x1.5 the non-volatile OA mass in the emission inventory. This scaling factor, ranging from 0 to 3, modifies that initial emitted amount, to give the final IVOC fraction to add. SVOC scaling (SVOC_SC): scaling factor for emissions of SVOCs. This applied to the volatility distribution generated from the SVOC volatility distribution. For anthropogenic emissions this ranges from 0.1 to 4. For biomass burning emissions this ranges from 0.5 to 4. SVOC_VOLDIST, IVOC_SC, and SVOC_SC combine to give the VBS_FRAC_[X] fractional volatility distributions. These volatility bins start at Ci*=-2 , and increase decadally to Ci*=6. The template namelist into which these parameters are inserted is included too. This is for a modified version of WRF-Chem 3.8.1 - it will not work with the standard WRF-Chem model.
DOI: 10.6084/m9.figshare.22776776
title: Test dataset

description: Test dataset for a manuscript: <em><strong>"Parvalbumin-expressing basal forebrain neurons mediate learning from negative experience"</strong></em> from Hegedüs et al (https://doi.org/10.1101/2023.03.31.535018). <br> This dataset contains a folder structure with tetrode recording, behavioral and fiber photometry data to test functions in <em><strong>https://github.com/hangyabalazs/PV_Pavlovian_analysis</strong></em> GitHub repository
DOI: 10.6084/m9.figshare.22776776.v1
title: Test dataset

description: Test dataset for a manuscript: <em><strong>"Parvalbumin-expressing basal forebrain neurons mediate learning from negative experience"</strong></em> from Hegedüs et al (https://doi.org/10.1101/2023.03.31.535018). <br> This dataset contains a folder structure with tetrode recording, behavioral and fiber photometry data to test functions in <em><strong>https://github.com/hangyabalazs/PV_Pavlovian_analysis</strong></em> GitHub repository
DOI: 10.6084/m9.figshare.22776803
title: Supplementary Tables for NPEPPS manuscript (Jones, Scholtes, Goodspeed, et al.)

description: Supplementary Tables for NPEPPS manuscript (Jones, Scholtes, Goodspeed, et al.)
DOI: 10.6084/m9.figshare.22776803.v1
title: Supplementary Tables for NPEPPS manuscript (Jones, Scholtes, Goodspeed, et al.)

description: Supplementary Tables for NPEPPS manuscript (Jones, Scholtes, Goodspeed, et al.)
DOI: 10.5281/zenodo.7905346
title: Processed GPR data of Mosvatnet, Norway

description: SEG-Y files corresponding to the processed GPR data collected on- and offshore Mosvatnet, Stavanger, Norway. In the GPR radargram is possible to identify and map Quaternary glacial and post-glacial sediments and non-natural infill materials.
DOI: 10.5281/zenodo.7905345
title: Processed GPR data of Mosvatnet, Norway

description: SEG-Y files corresponding to the processed GPR data collected on- and offshore Mosvatnet, Stavanger, Norway. In the GPR radargram is possible to identify and map Quaternary glacial and post-glacial sediments and non-natural infill materials.
DOI: 10.6084/m9.figshare.22731665
title: <strong>Lower diversity in benthic macrofaunal assemblages associated with increasing riparian deforestation in first order lowland tropical streams</strong>

description: Environmental data and macrofauna from lowland streams in eastern Amazonia.
DOI: 10.6084/m9.figshare.3761562.v2579
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: 10.6084/m9.figshare.22776818
title: LASSI_Project_Raw_Data.xlsx

description: This data set contains anonymized demographic and academic information from the University of Texas Southwestern medical class of 2022.
DOI: 10.6084/m9.figshare.22776818.v1
title: LASSI_Project_Raw_Data.xlsx

description: This data set contains anonymized demographic and academic information from the University of Texas Southwestern medical class of 2022.
DOI: 10.5281/zenodo.7905293
title: Discrete Feature Representations of CHO Reaction Mechanisms as Quasireaction Subgraphs

description: This data set contains 194778 quasireaction subgraphs extracted from CHO transition networks with 2-6 non-hydrogen atoms (CxHyOz, 2 &lt;= x + z &lt;= 6). The complete table of subgraphs (including file locations) is in CHO-6-atoms-subgraphs.csv file. The subgraphs are in GraphML format (http://graphml.graphdrawing.org) and are compressed using bzip2. All subgraphs are undirected and unweighted. The reactant and product nodes (initial and final) are labeled in the "type" node attribute. The nodes are represented as multi-molecule SMILES strings. The edges are labeled by the reaction rules in SMARTS representation. The forward and backward reading of the SMARTS string should be considered equivalent. The generation and analysis of this data set is described in<br> D. Rappoport, Statistics and Bias-Free Sampling of Reaction Mechanisms from Reaction Network Models, 2023, submitted. Preprint at ChemrXiv, DOI: 10.26434/chemrxiv-2023-wltcr Simulation parameters<br> - CHO networks constructed using polar bond break/bond formation rule set for CHO.<br> - High-energy nodes were excluded using the following rules:<br> (i) more than 3 rings, (ii) triple and allene bonds in rings, (iii) double bonds at<br> bridge atoms,(iv) double bonds in fused 3-membered rings.<br> - Neutral nodes were defined as containing only neutral molecules.<br> - Shortest path lengths were determined for all pairs of neutral nodes.<br> - Pairs of neutral nodes with shortest-path length &gt; 8 were excluded.<br> - Additionally, pairs of neutral nodes connected only by shortest paths passing through<br> additional neutral nodes (reducible paths) were excluded. For background and additional details, see paper above.
description: This work was supported in part by the National Science Foundation under Grant No. CHE-2227112.
DOI: 10.6084/m9.figshare.22776830.v1
title: Raw data set for <em><strong>How Learning Strategies and Academic Parameters Predict Medical Student Success.</strong></em>

description: This data set contains anonymized demographic and academic information from the University of Texas Southwestern medical class of 2022.
DOI: 10.34740/kaggle/dsv/5627997
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.25345/c5125qk73
title: MassIVE MSV000091876 - Francisella Tularensis MassSpec Data title to be determined
title: Mass spec data for four strains of Francisella Tularensis
DOI: 10.6084/m9.figshare.22776833
title: Zucchelli2023

description: Results of ChIPseq in bigWig format ready for Genome Browser
DOI: 10.6084/m9.figshare.22776833.v1
title: Zucchelli2023

description: Results of ChIPseq in bigWig format ready for Genome Browser
DOI: 10.7910/dvn/sxgfzw
title: Replication Data for: Beyond Group Membership: New Way of Measuring Environmental Interest Group Strength in the American States

description: There are three datasets: 1. Aggregated state level dataset for table and maps 2. Aggregated state level dataset for model analysis 3. New measures average over 20 years for ranking There are three documents: 1. txt file : readme as required with all files included and steps to recreate maps/tables/models. 2. code book: with variable definitions for all variables in the analysis dataset(s) and value labels for categorical variables. 3. instructions for recreating maps, tables and model results with detailed instruction including screenshots demonstrations. The last file is zipfile for US state map shapefile, which was already explained in readme about how to download but we provide the shapefile for making the maps in our paper.ata includes
DOI: 10.6084/m9.figshare.21280104
title: emission images defect samples

description: The emission images are manually inspected in order to select 150 images as defected samples and used to create a dataset considered as the ground truth for machine learning <br> Acknowledgement : Thanks to Denis Dowling from I-Form Advanced Manufacturing Research Centre and his team member Darragh Egan based in University College Dublin for the provision of this data
DOI: 10.6084/m9.figshare.21280173
title: emission images normal samples

description: emission images samples were manually inspected in order to select 150 images as normal samples. These were labeled and used to create a dataset considered as the ground truth in the tests. <br> Acknowledgement : Thanks to Denis Dowling from I-Form Advanced Manufacturing Research Centre and his team member Darragh Egan based in University College Dublin for the provision of this data
DOI: 10.48610/0714890
title: CICFlowMeter Datasets

description: The CICFlowMeter format of the datasets is made up of 83 network features.

     CIC-ToN-IoT                            CIC-BoT-IoT

The details of the datasets are published in:

M. Sarhan, S. Layeghy, and M. Portmann, An explainable machine learning-based network intrusion detection system for enabling generalisability in securing IoT networks, 2021. arXiv:2104.07183 [cs.CR] https://arxiv.org/abs/2104.07183

The use of the datasets for academic research purposes is granted in perpetuity after citing the above papers. For commercial purposes, it should be agreed upon by the authors.

Please get in touch with the author Mohanad Sarhan for more details.
DOI: 10.5517/ccdc.csd.cc2f65f8
title: CCDC 2240259: Experimental Crystal Structure Determination

description: Related Article: Francisco Garnes-Portolés, Sergio Sanz-Navarro, Jordi Ballesteros-Soberanas, Ana Collado-Pérez, Jorge Sánchez-Quesada, Estela Espinós-Ferri, Antonio Leyva-Pérez|2023|J.Org.Chem.|88|5962|doi:10.1021/acs.joc.3c00314
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.cc2dypnq
title: CCDC 2233074: Experimental Crystal Structure Determination

description: Related Article: Debashis Basu, S. M. Supundrika Subasinghe, Neal P. Mankad|2023|Inorg.Chem.|62|6332|doi:10.1021/acs.inorgchem.3c00086
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.cc2f65g9
title: CCDC 2240260: Experimental Crystal Structure Determination

description: Related Article: Francisco Garnes-Portolés, Sergio Sanz-Navarro, Jordi Ballesteros-Soberanas, Ana Collado-Pérez, Jorge Sánchez-Quesada, Estela Espinós-Ferri, Antonio Leyva-Pérez|2023|J.Org.Chem.|88|5962|doi:10.1021/acs.joc.3c00314
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.cc2dyppr
title: CCDC 2233075: Experimental Crystal Structure Determination

description: Related Article: Debashis Basu, S. M. Supundrika Subasinghe, Neal P. Mankad|2023|Inorg.Chem.|62|6332|doi:10.1021/acs.inorgchem.3c00086
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.cc27k97c
title: CCDC 2072202: Experimental Crystal Structure Determination

description: Related Article: Xiangyu Zhuang, Chenghong Sun, Pengzhen Fu, Changhai Yu, Jie Jiang, Shuangshuang Wang, Xuefeng Xiao, Bin Wang|2023|J.Org.Chem.|88|5844|doi:10.1021/acs.joc.3c00253
description: Related Article: Shuangshuang  Shuangshuang Wang|2021|CSD Communication|||
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.cc2dypqs
title: CCDC 2233076: Experimental Crystal Structure Determination

description: Related Article: Debashis Basu, S. M. Supundrika Subasinghe, Neal P. Mankad|2023|Inorg.Chem.|62|6332|doi:10.1021/acs.inorgchem.3c00086
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.cc2c01zf
title: CCDC 2174804: Experimental Crystal Structure Determination

description: Related Article: Bo-Chen Chen, Cheng-Quan Xiao, Jun-Jie Hu, Yan Peng, He-Rui Wen, Sui-Jun Liu|2023|Inorg.Chem.|62|6255|doi:10.1021/acs.inorgchem.2c04060
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: 10.6084/m9.figshare.16786517.v1
title: Estimation of lurasidone hydrochloride equilibrium solubility in a polymeric solid dispersion using thermal analysis and thermodynamic modeling

description: Information on drug equilibrium solubility is crucial in producing a stable drug product, prolonging its shelf-life and maintaining its reported properties. Such data regarding the antipsychotic drug lurasidone hydrochloride (LRS HCl), were non-existent up to this date. We have presented results that could facilitate the formation of stable LRS HCl solid dispersions using amorphous poly(vinyl-pyrrolidone) (PVP) as a carrier. For the purpose of drug solubility enhancement, solid dispersions with different drug loads were prepared by solvent evaporation method and characterized by thermogravimetric analysis, differential scanning calorimetry, and Fourier-transform infrared spectroscopy (FT-IR). Thermal analysis has been used to detect the changes in heat capacity (<i>c<sub>p</sub></i>) occuring upon formation of a binary drug-polymer solid dispersion. Thermodynamic model accounting for those <i>c<sub>p</sub></i> changes is used to estimate the Gibbs free energy of mixing (<i>G</i><sup>M</sup>) and thus the equilibrium solubility of LRS HCl in PVP solid dispersions.
DOI: 10.6084/m9.figshare.16786517
title: Estimation of lurasidone hydrochloride equilibrium solubility in a polymeric solid dispersion using thermal analysis and thermodynamic modeling

description: Information on drug equilibrium solubility is crucial in producing a stable drug product, prolonging its shelf-life and maintaining its reported properties. Such data regarding the antipsychotic drug lurasidone hydrochloride (LRS HCl), were non-existent up to this date. We have presented results that could facilitate the formation of stable LRS HCl solid dispersions using amorphous poly(vinyl-pyrrolidone) (PVP) as a carrier. For the purpose of drug solubility enhancement, solid dispersions with different drug loads were prepared by solvent evaporation method and characterized by thermogravimetric analysis, differential scanning calorimetry, and Fourier-transform infrared spectroscopy (FT-IR). Thermal analysis has been used to detect the changes in heat capacity (<i>c<sub>p</sub></i>) occuring upon formation of a binary drug-polymer solid dispersion. Thermodynamic model accounting for those <i>c<sub>p</sub></i> changes is used to estimate the Gibbs free energy of mixing (<i>G</i><sup>M</sup>) and thus the equilibrium solubility of LRS HCl in PVP solid dispersions.
DOI: 10.6084/m9.figshare.16826114
title: Synergistic effects of Ag inclusion in titania on its photocatalytic activity for the removal of methyl orange

description: Uniformly distributed Ag nanoparticles are successfully loaded on TiO<sub>2</sub> nanoparticles with different Ag concentration through hydrothermal method. X-ray diffraction pattern and Raman spectra demonstrate the anatase phase of both TiO<sub>2</sub> and Ag/TiO<sub>2</sub>. Loading of Ag on the surface of TiO<sub>2</sub> shifts the wavelength of absorption edge to visible light resulting the narrow energy band gap. The photoluminescence intensity decreases with an increase in the concentration of Ag revealing a decrease in the recombination of electron-hole pairs. In order to test them in the photocatalysis, the degradation of textile dye methyl orange is used as a standard. Ag loaded TiO<sub>2</sub> shows better photocatalytic performance than pure TiO<sub>2</sub> because the higher surface area of the nanoparticles enabled them to function as good electron acceptors, delayed the electron-hole pair recombination and surface plasmon resonance of the silver particles. Moreover, 0.1 M of Ag/TiO<sub>2</sub> nanoparticles (AT3) showed higher photocatalytic efficiency of 98.40% within 240 min light irradiation. The superior photocatalytic activity of Ag/TiO<sub>2</sub> is attributed to the interactive effect caused by smaller crystallite size, narrow band gap, large surface area, and also enhancement in the charge separation.
DOI: 10.6084/m9.figshare.16826114.v1
title: Synergistic effects of Ag inclusion in titania on its photocatalytic activity for the removal of methyl orange

description: Uniformly distributed Ag nanoparticles are successfully loaded on TiO<sub>2</sub> nanoparticles with different Ag concentration through hydrothermal method. X-ray diffraction pattern and Raman spectra demonstrate the anatase phase of both TiO<sub>2</sub> and Ag/TiO<sub>2</sub>. Loading of Ag on the surface of TiO<sub>2</sub> shifts the wavelength of absorption edge to visible light resulting the narrow energy band gap. The photoluminescence intensity decreases with an increase in the concentration of Ag revealing a decrease in the recombination of electron-hole pairs. In order to test them in the photocatalysis, the degradation of textile dye methyl orange is used as a standard. Ag loaded TiO<sub>2</sub> shows better photocatalytic performance than pure TiO<sub>2</sub> because the higher surface area of the nanoparticles enabled them to function as good electron acceptors, delayed the electron-hole pair recombination and surface plasmon resonance of the silver particles. Moreover, 0.1 M of Ag/TiO<sub>2</sub> nanoparticles (AT3) showed higher photocatalytic efficiency of 98.40% within 240 min light irradiation. The superior photocatalytic activity of Ag/TiO<sub>2</sub> is attributed to the interactive effect caused by smaller crystallite size, narrow band gap, large surface area, and also enhancement in the charge separation.
DOI: 10.17909/x49n-d207
title: El Gordo data from paper
DOI: 10.6084/m9.figshare.22777040
title: 2023-05-06-CRISPRi_Source Data.xlsx

description: CRISPRi in Post-Differentiated Human iPSC-Cardiomyocytes - Source Data
DOI: 10.6084/m9.figshare.22777040.v1
title: 2023-05-06-CRISPRi_Source Data.xlsx

description: CRISPRi in Post-Differentiated Human iPSC-Cardiomyocytes - Source Data
DOI: 10.6084/m9.figshare.14210576
title: (SOFTCOM'22) On the Assessment of Continuous Detection of Code Smells: An Empirical Study

description: (EASE'21) On the Assessment of Continuous Detection of Code Smells: An Empirical Study
DOI: 10.6084/m9.figshare.14210576.v1
title: (EASE'21) On the Assessment of Continuous Detection of Code Smells: An Empirical Study

description: (EASE'21) On the Assessment of Continuous Detection of Code Smells: An Empirical Study
DOI: 10.6084/m9.figshare.14210576.v2
title: (SOFTCOM'22) On the Assessment of Continuous Detection of Code Smells: An Empirical Study

description: (EASE'21) On the Assessment of Continuous Detection of Code Smells: An Empirical Study
DOI: 10.6084/m9.figshare.22777067.v1
title: [Focus Group] Validação da Proposta de Abordagem DI integrada ao Scrum

description: Material Suplementar - Validação da Abordagem DI Integrada ao Processo Ágil
DOI: 10.6084/m9.figshare.22777067
title: [Focus Group] Validação da Proposta de Abordagem DI integrada ao Scrum

description: Material Suplementar - Validação da Abordagem DI Integrada ao Processo Ágil
DOI: 10.5281/zenodo.7860585
title: A Compact and Efficient fNIRS Design - Repository

description: This repository contains the data needed to fully recreate the work performed as part of my Master's Thesis at Villanova University. The thesis, titled "A Compact and Efficient fNIRS Design", was submitted to the faculty of the Department of Electrical and Computer Engineering at Villanova University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering in May 2023.
DOI: 10.5281/zenodo.7860586
title: A Compact and Efficient fNIRS Design - Repository

description: This repository contains the data needed to fully recreate the work performed as part of my Master's Thesis at Villanova University. The thesis, titled "A Compact and Efficient fNIRS Design", was submitted to the faculty of the Department of Electrical and Computer Engineering at Villanova University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering in May 2023.
DOI: 10.5281/zenodo.7884891
title: A Compact and Efficient fNIRS Design - Repository

description: This repository contains the data needed to fully recreate the work performed as part of my Master's Thesis at Villanova University. The thesis, titled "A Compact and Efficient fNIRS Design", was submitted to the faculty of the Department of Electrical and Computer Engineering at Villanova University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering in May 2023.