cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive158376.20201210.5
title: Aminipila butyrica Ueki et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158377.20201210.5
title: Rheinheimera salexigens Hayashi et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158378.20201210.5
title: Trichococcus paludicola Dai et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158379.20201210.5
title: Trichococcus alkaliphilus Dai et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158380.20201210.5
title: Bifidobacterium callitrichidarum Modesto et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158381.20201210.5
title: Alteribacter populi (Liu et al. 2018) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158382.20201210.5
title: Leucobacter triazinivorans Sun et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158383.20201210.5
title: Microbacterium album Yang et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158384.20201210.5
title: Halomonas nigrificans Oguntoyinbo et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158385.20201210.5
title: Streptomyces davaonensis Landwehr et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158386.20201210.5
title: Streptomyces cinnabarigriseus Landwehr et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158387.20201210.5
title: Bifidobacterium catulorum Modesto et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158388.20201210.5
title: Lactococcus reticulitermitis Yuki et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158389.20201210.5
title: Xylanibacillus composti Kukolya et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158390.20201210.5
title: Lactobacillus panisapium Wang et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158391.20201210.5
title: Listeria costaricensis Núñez-Montero et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158392.20201210.5
title: Kocuria uropygialis Braun et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158393.20201210.5
title: Kocuria uropygioeca Braun et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158394.20201210.5
title: Peptoniphilus lacydonensis Beye et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158395.20201210.5
title: Marinicrinis lubricantis Kämpfer et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158396.20201210.5
title: Georgenia deserti Hozzein et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158397.20201210.5
title: Parolsenella catena Sakamoto et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158398.20201210.5
title: Corynebacterium gottingense Atasayar et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158399.20201210.5
title: Rathayibacter agropyri (non O'Gara 1916) Schroeder et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158400.20201210.5
title: Rubneribacter badeniensis Danylec et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158401.20201210.5
title: Enteroscipio rubneri Danylec et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158402.20201210.5
title: Aurantisolimonas haloimpatiens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158403.20201210.5
title: Carnobacterium antarcticum Zhu et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158404.20201210.5
title: Ellagibacter isourolithinifaciens Beltrán et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158405.20201210.5
title: Polynucleobacter campilacus Hahn et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158406.20201210.5
title: Polynucleobacter hirudinilacicola Hahn et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158407.20201210.5
title: Paenibacillus elymi Hwang et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158408.20201210.5
title: Collimonas antrihumi Lee 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158409.20201210.5
title: Photorhabdus laumondii subsp. clarkei Machado et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158410.20201210.5
title: Photorhabdus bodei Machado et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158411.20201210.5
title: Apilactobacillus quenuiae (McFrederick et al. 2018) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158412.20201210.5
title: Apilactobacillus timberlakei (McFrederick et al. 2018) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158413.20201210.5
title: Apilactobacillus micheneri (McFrederick et al. 2018) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158414.20201210.5
title: Streptococcus respiraculi Niu et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158415.20201210.5
title: Cohnella kolymensis Kudryashova et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158416.20201210.5
title: Peribacillus acanthi (Ma et al. 2018) Patel and Gupta 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158417.20201210.5
title: Ezakiella massiliensis Diop et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158418.20201210.5
title: Arachnia rubra (Saito et al. 2018) Tindall 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158419.20201210.5
title: Spirosoma pollinicola Ambika Manirajan et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158420.20201210.5
title: Aestuariimicrobium soli Chen et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158421.20201210.5
title: Acidipropionibacterium virtanenii Deptula et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.14954865
title: The Instances of one research of the author Zhunjun Liu

description: The instances of my research are presented here for further researching
DOI: 10.6084/m9.figshare.14954865.v1
title: The Instances of one research of the author Zhunjun Liu

description: The instances of my research are presented here for further researching
DOI: 10.6084/m9.figshare.14718276.v4
title: Code and Dataset of "Drivers of macroinvertebrate biodiversity in the karst environment"

description: Dataset and R code for "Drivers of macroinvertebrate biodiversity in the karst environment".<br>
DOI: 10.6084/m9.figshare.14718276.v5
title: Code and Dataset of "Drivers of macroinvertebrate biodiversity in the karst environment"

description: Dataset and R code for "Drivers of macroinvertebrate biodiversity in the karst environment".<br>
DOI: 10.15161/oar.it/73920
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14954892
title: Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24

description: Data supporting reported results of "Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24"Authors: Ondé, D., Alvarado, J.M., Sastre, S., Azañedo, C.M.Journal: International Journal of Environmental Research and Public HealthYear: 2021<br>
DOI: 10.6084/m9.figshare.14954892.v1
title: Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24

description: Data supporting reported results of "Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24"Authors: Ondé, D., Alvarado, J.M., Sastre, S., Azañedo, C.M.Journal: International Journal of Environmental Research and Public HealthYear: 2021<br>
DOI: 10.5281/zenodo.5090523
title: Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus

description: Dataset of "Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus" research
DOI: 10.5281/zenodo.5090522
title: Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus

description: Dataset of "Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus" research
DOI: 10.5281/zenodo.5090519
title: WORK-LIFE BALANCE OF THE EMPLOYED POPULATION DURING THE EMERGENCY SITUATION OF COVID-19 IN LATVIA

description: All the employees face the challenge of finding the right work-life balance. The ability of employees to deal with the successful combining of work, family responsibilities, and personal life is crucial for both employers and family members of employees. During the COVID-19 emergency situation, many people around the world were forced to work remotely. Initially, there were observed some certain expectations about the possibility of working from home as a positive factor that will promote work-life balance. However, over time, negative tendencies were also revealed, as employees were only one call or message away from the employer, and uncertainty and leisure time with family often created more stress. As many organizations and individuals were not ready for this sudden change, many mistakes were made, which further raised the issue of work-life balance. The aim of the research was to evaluate the flexibility of reconciling work and private life of Latvian employees in various socio-demographic groups during the COVID-19 emergency situation in spring 2020, to investigate how family life influenced employees’ ability to perform work duties, to find out if employees had any additional housework responsibilities and how their workload changed concerning housework amount during the COVID-19 emergency situation. The research is based on the data obtained in the survey of the Latvian employed population, which was conducted within the framework of the Latvian National Research Programme Project “CoLife” in the second half of 2020. As a result, the hypothesis of the research that all groups of employees experienced work-life balance difficulties during the COVID-19 emergency situation has been partially confirmed, i.e. women in the 18-44 age group and respondents with minor children in the household more likely faced difficulties of work-life balance. The scientific research methods that were used in the research are the monographic method, content analysis, survey, data processing with SPSS to determine the mutual independence of the data from the questionnaires.
description: This research is funded by the Ministry of Education and Science, Republic of Latvia, project "Life with COVID-19: Evaluation of overcoming the coronavirus crisis in Latvia and recommendations for societal resilience in the future", project No. VPP-COVID-2020/1-0013
DOI: 10.5281/zenodo.4593590
title: WORK-LIFE BALANCE OF THE EMPLOYED POPULATION DURING THE EMERGENCY SITUATION OF COVID-19 IN LATVIA

description: All the employees face the challenge of finding the right work-life balance. The ability of employees to deal with the successful combining of work, family responsibilities, and personal life is crucial for both employers and family members of employees. During the COVID-19 emergency situation, many people around the world were forced to work remotely. Initially, there were observed some certain expectations about the possibility of working from home as a positive factor that will promote work-life balance. However, over time, negative tendencies were also revealed, as employees were only one call or message away from the employer, and uncertainty and leisure time with family often created more stress. As many organizations and individuals were not ready for this sudden change, many mistakes were made, which further raised the issue of work-life balance. The aim of the research was to evaluate the flexibility of reconciling work and private life of Latvian employees in various socio-demographic groups during the COVID-19 emergency situation in spring 2020, to investigate how family life influenced employees’ ability to perform work duties, to find out if employees had any additional housework responsibilities and how their workload changed concerning housework amount during the COVID-19 emergency situation. The research is based on the data obtained in the survey of the Latvian employed population, which was conducted within the framework of the Latvian National Research Programme Project “CoLife” in the second half of 2020. As a result, the hypothesis of the research that all groups of employees experienced work-life balance difficulties during the COVID-19 emergency situation has been partially confirmed, i.e. women in the 18-44 age group and respondents with minor children in the household more likely faced difficulties of work-life balance. The scientific research methods that were used in the research are the monographic method, content analysis, survey, data processing with SPSS to determine the mutual independence of the data from the questionnaires.
description: This research is funded by the Ministry of Education and Science, Republic of Latvia, project "Life with COVID-19: Evaluation of overcoming the coronavirus crisis in Latvia and recommendations for societal resilience in the future", project No. VPP-COVID-2020/1-0013
DOI: 10.6084/m9.figshare.14954910.v1
title: Revistas analizadas.docx

description: Revistas científicas españolas del área de Comunicación analizadas en la muestra. Solo se incluyen los datos de indexación específicos del área de comunicación (datos a fecha de 31 de mayo de 2021).<b></b>
DOI: 10.6084/m9.figshare.14954910
title: Revistas analizadas.docx

description: Revistas científicas españolas del área de Comunicación analizadas en la muestra. Solo se incluyen los datos de indexación específicos del área de comunicación (datos a fecha de 31 de mayo de 2021).<b></b>
DOI: 10.6084/m9.figshare.14939325
title: __Supplementary materials Ibrahim Al Lakani Street.pdf

description: This study focuses on data collected from a street in Cairo.
DOI: 10.6084/m9.figshare.14939325.v1
title: __Supplementary materials Ibrahim Al Lakani Street.pdf

description: This study focuses on data collected from a street in Cairo.
DOI: 10.5281/zenodo.5090536
title: UAV bugs dataset and taxonomy

description: This data set contains 569 real world bugs, 168 UAV-specific bugs and their taxonomy. Our replication package consists of two maim folders:bugSet and bugTaxonomy bugSet In this folder we have placed all the bugs that we have indentified from PX4 and Ardupilot on GitHub. Data collection process is explained in detail in Section 3.1 of the paper. Each line in bugSet.xlsx provides project name and the link of 569 real-world bugs. bugTaxonomy Our manual analysis was conducted in 3 iterations(Section 3.2 in the paper). In each file(3 iterations) we provide the following information: (a) Project name;(b)Bug link; (c)bug label or bug description.
DOI: 10.5281/zenodo.4898868
title: UAV bugs dataset and taxonomy

description: This data set contains 569 real world bugs, 168 UAV-specific bugs and their taxonomy. Our replication package consists of two maim folders:bugSet and bugTaxonomy bugSet In this folder we have placed all the bugs that we have indentified from PX4 and Ardupilot on GitHub. Data collection process is explained in detail in Section 3.1 of the paper. Each line in bugSet.xlsx provides project name and the link of 569 real-world bugs. bugTaxonomy Our manual analysis was conducted in 3 iterations(Section 3.2 in the paper). In each file(3 iterations) we provide the following information: (a) Project name;(b)Bug link; (c)bug label or bug description.
DOI: 10.6084/m9.figshare.14954907
title: Predictive biomarkers of ICU and mechanical ventilation duration in critically-ill COVID19 patients

description: Serum metabolomics data of 39 critically-ill COVID-19 patients at day one (S1) and day seven (S2) post admission at intensive care unit. Phenotypes include age, gender, body mass index (BMI), intubation days, days at ICU and length of stay (LOS).<br>
DOI: 10.6084/m9.figshare.14954907.v1
title: Predictive biomarkers of ICU and mechanical ventilation duration in critically-ill COVID19 patients

description: Serum metabolomics data of 39 critically-ill COVID-19 patients at day one (S1) and day seven (S2) post admission at intensive care unit. Phenotypes include age, gender, body mass index (BMI), intubation days, days at ICU and length of stay (LOS).<br>
DOI: 10.6084/m9.figshare.14954922
title: Pruebas de normalidad.docx

description: Pruebas de normalidad aplicadas a todas las variables del estudio.<b></b>
DOI: 10.6084/m9.figshare.14954922.v1
title: Pruebas de normalidad.docx

description: Pruebas de normalidad aplicadas a todas las variables del estudio.<b></b>
DOI: 10.6084/m9.figshare.14954937
title: Chi cuadrado.docx

description: <b>Pruebas de chi-cuadrado aplicadas a todas las variables del estudio.</b><b></b>
DOI: 10.6084/m9.figshare.14954937.v1
title: Chi cuadrado.docx

description: <b>Pruebas de chi-cuadrado aplicadas a todas las variables del estudio.</b><b></b>
DOI: 10.5517/ccdc.csd.cc124h0q
title: CCDC 987412: Experimental Crystal Structure Determination

description: Related Article: Yude Thio, Jagadese J. Vittal|2021|Inorg.Chim.Acta|526|120502|doi:10.1016/j.ica.2021.120502
DOI: 10.5517/ccdc.csd.cc23lgjq
title: CCDC 1954163: Experimental Crystal Structure Determination

description: Related Article: N. Afsar, D. Reuben Jonathan, B.K. Revathi, Dhurairaj Satheesh, S. Manivannan|2021|J.Mol.Struct.|1244|130967|doi:10.1016/j.molstruc.2021.130967
DOI: 10.5517/ccdc.csd.cc24309l
title: CCDC 1969098: Experimental Crystal Structure Determination

description: Related Article: Mimi Simmons, Kayla Cummings Premack, E. Danae Guerra, Maeve J. Bohle, Kristopher A. Rosadiuk, D. Scott Bohle|2021|Inorg.Chem.|60|9621|doi:10.1021/acs.inorgchem.1c00844