cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e131301
title: Race, Climate, and Turnover: An Examination of the Teacher Labor Market in Rural Georgia

description: Teacher turnover across the country presents a persistent and growing challenge for schools and districts, with the highest rates of turnover geographically concentrated in the American South. Research on teacher staffing and turnover problems consistently highlights two subsets of schools as struggling to attract and retain well-credentialed, effective educators—predominantly Black schools and rural schools. However, research has rarely explicitly examined the schools that meet both these criteria. We use administrative records and unique climate survey data from Georgia to examine how the intersecting roles of race, money, and school climate shape evolving teacher turnover patterns in rural schools. Findings suggest that while teacher mobility is generally less common in rural schools, considerable inequities exist within the rural space, with majority Black rural schools bearing far more of the brunt of rural teacher turnover. Among rural teachers, Black teachers have higher mobility rates—more likely to make inter-district moves and to exit rural settings for teaching opportunities in urban and suburban contexts. However, in majority-Black rural schools, higher salaries and school climate factors, such as relational climate and parental involvement, were strong predictors of retention, even after controlling for a rich set of covariates.
DOI: 10.3886/e131301v1
title: Race, Climate, and Turnover: An Examination of the Teacher Labor Market in Rural Georgia

description: Teacher turnover across the country presents a persistent and growing challenge for schools and districts, with the highest rates of turnover geographically concentrated in the American South. Research on teacher staffing and turnover problems consistently highlights two subsets of schools as struggling to attract and retain well-credentialed, effective educators—predominantly Black schools and rural schools. However, research has rarely explicitly examined the schools that meet both these criteria. We use administrative records and unique climate survey data from Georgia to examine how the intersecting roles of race, money, and school climate shape evolving teacher turnover patterns in rural schools. Findings suggest that while teacher mobility is generally less common in rural schools, considerable inequities exist within the rural space, with majority Black rural schools bearing far more of the brunt of rural teacher turnover. Among rural teachers, Black teachers have higher mobility rates—more likely to make inter-district moves and to exit rural settings for teaching opportunities in urban and suburban contexts. However, in majority-Black rural schools, higher salaries and school climate factors, such as relational climate and parental involvement, were strong predictors of retention, even after controlling for a rich set of covariates.
DOI: 10.3886/e120321v6-79680
title: Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. As strong concerns and emotions are expressed in the publicly available tweets, we annotated seventeen latent semantic attributes for each public tweet using natural language processing techniques and machine-learning based algorithms. The latent semantic attributes include: 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.5281/zenodo.4553767
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.4553770
title: Fitofaladoiro IES Castro da Uz. As Pontes de García Rodríguez (A Coruña)

description: Datos recollidos nos cursos 2017-2018 e 2018-2019
DOI: 10.5281/zenodo.4553773
title: Fitofaladoiro do IES San Rosendo. Mondoñedo (Lugo)

description: Web de acceso aos datos recollidos nos cursos 2015-2016 e 2016-2017
DOI: 10.5281/zenodo.4542458
title: Fitofaladoiro do IES San Rosendo. Mondoñedo (Lugo)

description: Web de acceso aos datos recollidos nos cursos 2015-2016 e 2016-2017
DOI: 10.6084/m9.figshare.14061398
title: Numerical simulation and the underlying mechanism of a severe hail-producing convective system in East China

description: This is the simulation results of a severe hailstorm that occurred in east China by WRF model with the spectural bin microphysics scheme. The dataset includes the regional average results of mixing ratio and number concentration of hydrometeors during 05-13 UTC and 07-09 UTC, the regional average results of mixing ratio and number concentration for 22-33 hail bins, the microphysical production rates related to graupel and hail and trajectory results calculated by the hail growth model.
DOI: 10.6084/m9.figshare.14061398.v1
title: Numerical simulation and the underlying mechanism of a severe hail-producing convective system in East China

description: This is the simulation results of a severe hailstorm that occurred in east China by WRF model with the spectural bin microphysics scheme. The dataset includes the regional average results of mixing ratio and number concentration of hydrometeors during 05-13 UTC and 07-09 UTC, the regional average results of mixing ratio and number concentration for 22-33 hail bins, the microphysical production rates related to graupel and hail and trajectory results calculated by the hail growth model.
DOI: 10.6084/m9.figshare.14069147
title: Ribosomal protein database of Proteus penneri ATCC 35198

description: This work presents the ribosomal protein database of <i>Proteus penneri </i>ATCC 35198<i>. </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14069147.v1
title: Ribosomal protein database of Proteus penneri ATCC 35198

description: This work presents the ribosomal protein database of <i>Proteus penneri </i>ATCC 35198<i>. </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.21227/x59b-f647
title: Supplementary material for submission "Roubst Tuning of Active Disturbance Rejection Controller for SOPTD Model with Application to A Factual Electrostatic Precipitator"

description: This paper contains two animations and a figure in the supplementary material for submission "Roubst Tuning of Active Disturbance Rejection Controller for SOPTD Model with Application to A Factual Electrostatic Precipitator".
DOI: 10.6084/m9.figshare.14016632.v3
title: Spatial downscaling of PISCOt v1.1: maximum temperature

description: The downscaled version of PISCOt v1.1 for maximum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.6084/m9.figshare.14016632.v2
title: Spatial downscaling of PISCOt: maximum temperature

description: Downscaled version of PISCOt v1.1 for maximum temperature
DOI: 10.5281/zenodo.2603319
title: Data for "Genomic Epidemiology of Gonococcal Resistance to Extended-Spectrum Cephalosporins, Macrolides, and Fluoroquinolones in the United States, 2000-2013"

description: Assemblies from https://www.ncbi.nlm.nih.gov/pubmed/27638945.
DOI: 10.5281/zenodo.4553798
title: Building Occupancy Type Classification Model

description: RES1: Single-Family Building RES3: Multi-Family Building COM: Commercial Building
DOI: 10.6084/m9.figshare.14069180
title: Astraeus_phylogenomics_FigShare

description: This batch of data contains raw protein sequences, trimmed alignments and files used for phylogenomic reconstruction of Astraeus odoratus. In this study, we generated the draft genome for this ectomycorrhizal fungus, representing the first reference genome for Diplocystidiaceae, Boletales, Basidiomycota. We attempted to perform phylogenomic analyses to verify the phylogenetic placement of this fungus whether it matches the current taxonomy. More details about datasets and phylogenetic reconstruction can be found in README file.
DOI: 10.5281/zenodo.4553803
title: Building Occupancy Type Classification Model

description: RES1: Single-Family Building RES3: Multi-Family Building COM: Commercial Building
DOI: 10.6084/m9.figshare.14069189
title: Sandwich Drilling DAS.pdf

description: The data is acquired after drilling into the specimen and also by performing non-destructive testing. The results can be used to optimize the process of drilling composites in the industry.<br>
DOI: 10.6084/m9.figshare.14069204
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.14069204.v1
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.14069246
title: Additional file 2 of Next-generation diagnostics: virus capture facilitates a sensitive viral diagnosis for epizootic and zoonotic pathogens including SARS-CoV-2

description: Additional file 1. Baits; all baits including the GenBank accession number of the respective virus genomes are provided (fasta format, 26 kb).
DOI: 10.6084/m9.figshare.14069246.v1
title: Additional file 2 of Next-generation diagnostics: virus capture facilitates a sensitive viral diagnosis for epizootic and zoonotic pathogens including SARS-CoV-2

description: Additional file 1. Baits; all baits including the GenBank accession number of the respective virus genomes are provided (fasta format, 26 kb).
DOI: 10.6084/m9.figshare.14069249.v1
title: Additional file 3 of Next-generation diagnostics: virus capture facilitates a sensitive viral diagnosis for epizootic and zoonotic pathogens including SARS-CoV-2

description: Additional file 2: Table S1. Coverage statistics of genomes of the viruses in all samples generated in this study with enrichment approach (VirBaits) after reference mapping using the Genome Sequencer software suite, including used references, number of baits in the VirBaits panel and enrichment factor of virus reads.
DOI: 10.6084/m9.figshare.14069245
title: Additional file 3 of Glutaminase isoforms expression switches microRNA levels and oxidative status in glioblastoma cells

description: Additional file 3: TableS1. Steep-loop sequences, mature sequences and probe sequences of the one thousand microRNAs used for microarray experiments.
DOI: 10.6084/m9.figshare.14069248
title: Additional file 4 of Glutaminase isoforms expression switches microRNA levels and oxidative status in glioblastoma cells

description: Additional file 4: TableS2. The microRNAs ratio list was determined for T98G-GAB(+) vs. T98G(T98G-pcDNA), depicted at column F, and for LN229-GLS(−) vs. LN229 (LN229-GFP) cells, depicted at column G.
DOI: 10.6084/m9.figshare.14069248.v1
title: Additional file 4 of Glutaminase isoforms expression switches microRNA levels and oxidative status in glioblastoma cells

description: Additional file 4: TableS2. The microRNAs ratio list was determined for T98G-GAB(+) vs. T98G(T98G-pcDNA), depicted at column F, and for LN229-GLS(−) vs. LN229 (LN229-GFP) cells, depicted at column G.
DOI: 10.6084/m9.figshare.14069249
title: Additional file 3 of Next-generation diagnostics: virus capture facilitates a sensitive viral diagnosis for epizootic and zoonotic pathogens including SARS-CoV-2

description: Additional file 2: Table S1. Coverage statistics of genomes of the viruses in all samples generated in this study with enrichment approach (VirBaits) after reference mapping using the Genome Sequencer software suite, including used references, number of baits in the VirBaits panel and enrichment factor of virus reads.
DOI: 10.6084/m9.figshare.14069245.v1
title: Additional file 3 of Glutaminase isoforms expression switches microRNA levels and oxidative status in glioblastoma cells

description: Additional file 3: TableS1. Steep-loop sequences, mature sequences and probe sequences of the one thousand microRNAs used for microarray experiments.
DOI: 10.25345/c57v3f
title: MassIVE MSV000086919 - GNPS MASS cannabis data for MSMS study
title: cannabis MSMS data asdasacaxcczxczxczxcacasdasdasdaczxcxzcacascascaxcascascascadaxczxczxcascasca
DOI: 10.25345/c5449j
title: MassIVE MSV000086920 - GNPS_exampledata_CANNABIS_QC20210221
title: the qc data of cannabis.hewcfup9qnxu9wnccrxcwqexcqxweqcxwqxdeq
DOI: 10.6084/m9.figshare.13969931
title: Impact of Reflective Writings data

description: 9 Interview transcripts<br><br><br>
DOI: 10.6084/m9.figshare.13969931.v3
title: Impact of Reflective Writings data

description: 9 Interview transcripts<br><br><br>
DOI: 10.6084/m9.figshare.13969931.v2
title: Impact of Reflecting Writing data

description: 9 Interview transcripts<br><br><br>
DOI: 10.6084/m9.figshare.14069369
title: Impact of Reflective Writings data

description: 9 interview transcripts
DOI: 10.6084/m9.figshare.5446420
title: Dados para realização de crossover métrico

description: Base de dados para a construção de um crossover métrico para a área da Ciência da Informação<br>
DOI: 10.6084/m9.figshare.12912146
title: Matrisome genes and their category..xlsx

description: Matrisome genes and their category
DOI: 10.6084/m9.figshare.12912146.v3
title: Matrisome genes and their category..xlsx

description: Matrisome genes and their category
DOI: 10.5517/ccdc.csd.cc2536fy
title: CCDC 1999079: Experimental Crystal Structure Determination

description: Related Article: Ranjit Singh, Abhishek Kumar Gupta, Chullikkattil P. Pradeep|2021|Cryst.Growth Des.|21|1062|doi:10.1021/acs.cgd.0c01392
DOI: 10.5517/ccdc.csd.cc2536gz
title: CCDC 1999080: Experimental Crystal Structure Determination

description: Related Article: Ranjit Singh, Abhishek Kumar Gupta, Chullikkattil P. Pradeep|2021|Cryst.Growth Des.|21|1062|doi:10.1021/acs.cgd.0c01392
DOI: 10.5517/ccdc.csd.cc2536h0
title: CCDC 1999081: Experimental Crystal Structure Determination

description: Related Article: Ranjit Singh, Abhishek Kumar Gupta, Chullikkattil P. Pradeep|2021|Cryst.Growth Des.|21|1062|doi:10.1021/acs.cgd.0c01392
DOI: 10.5517/ccdc.csd.cc2536j1
title: CCDC 1999082: Experimental Crystal Structure Determination

description: Related Article: Ranjit Singh, Abhishek Kumar Gupta, Chullikkattil P. Pradeep|2021|Cryst.Growth Des.|21|1062|doi:10.1021/acs.cgd.0c01392
DOI: 10.5517/ccdc.csd.cc2536k2
title: CCDC 1999083: Experimental Crystal Structure Determination

description: Related Article: Ranjit Singh, Abhishek Kumar Gupta, Chullikkattil P. Pradeep|2021|Cryst.Growth Des.|21|1062|doi:10.1021/acs.cgd.0c01392
DOI: 10.5517/ccdc.csd.cc25k2rl
title: CCDC 2012419: Experimental Crystal Structure Determination

description: Related Article: Paul Massé, Sabine Choppin, Lucia Chiummiento, Françoise Colobert, Gilles Hanquet|2021|J.Org.Chem.|86|3033|doi:10.1021/acs.joc.0c02489
DOI: 10.5517/ccdc.csd.cc25kb14
title: CCDC 2012645: Experimental Crystal Structure Determination

description: Related Article: Yan Gu, Lei Dai, Jinghang Zhang, Xinchi Lu, Xiaoqin Liu, Chang Wang, Jinpeng Zhang, Liangce Rong|2021|J.Org.Chem.|86|2173|doi:10.1021/acs.joc.0c02275
DOI: 10.5517/ccdc.csd.cc25kb25
title: CCDC 2012646: Experimental Crystal Structure Determination

description: Related Article: Yan Gu, Lei Dai, Jinghang Zhang, Xinchi Lu, Xiaoqin Liu, Chang Wang, Jinpeng Zhang, Liangce Rong|2021|J.Org.Chem.|86|2173|doi:10.1021/acs.joc.0c02275
DOI: 10.5517/ccdc.csd.cc25mhy8
title: CCDC 2014750: Experimental Crystal Structure Determination

description: Related Article: Sanja Burazer, Koen Robeyns, Laure Guénée, Gregor Mali, Fabrice Morelle, Voraksmy Ban, Teodoro Klaser, Yaroslav Filinchuk, Radovan Černý, Jasminka Popović|2021|Cryst.Growth Des.|21|770|doi:10.1021/acs.cgd.0c01006
DOI: 10.5517/ccdc.csd.cc25thwd
title: CCDC 2020514: Experimental Crystal Structure Determination

description: Related Article: Tomoaki Inukai, Taichi Kano, Keiji Maruoka|2021|Org.Lett.|23|792|doi:10.1021/acs.orglett.0c04022
DOI: 10.5517/ccdc.csd.cc25ysyw
title: CCDC 2024639: Experimental Crystal Structure Determination

description: Related Article: Chao Che, Yi-Nan Li, Xiang Cheng, Yi-Nan Lu, Chun-Jiang Wang|2021|Angew.Chem.,Int.Ed.|60|4698|doi:10.1002/anie.202012909
DOI: 10.5517/ccdc.csd.cc25yszx
title: CCDC 2024640: Experimental Crystal Structure Determination

description: Related Article: Chao Che, Yi-Nan Li, Xiang Cheng, Yi-Nan Lu, Chun-Jiang Wang|2021|Angew.Chem.,Int.Ed.|60|4698|doi:10.1002/anie.202012909
DOI: 10.5517/ccdc.csd.cc260vqt
title: CCDC 2026616: Experimental Crystal Structure Determination

description: Related Article: Zhi-Long Jia, Xian-Tao An, Yu-Hua Deng, Lin-Han Pang, Chun-Fang Liu, Le-Le Meng, Jia-Kun Xue, Xian-He Zhao, Chun-An Fan|2021|Org.Lett.|23|745|doi:10.1021/acs.orglett.0c03963
DOI: 10.5517/ccdc.csd.cc260vrv
title: CCDC 2026617: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc260vsw
title: CCDC 2026618: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc261pqp
title: CCDC 2027422: Experimental Crystal Structure Determination

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title: CCDC 2040954: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26hs8s
title: CCDC 2040955: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26qj2k
title: CCDC 2047428: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26qj3l
title: CCDC 2047429: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26qj4m
title: CCDC 2047430: Experimental Crystal Structure Determination

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