cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25949/24145362
title: The survey copy that was used in a Ph.D. project to examine potential changes in children's outdoor activity in Australian early childhood education and care centres due to COVID-19 restrictions and to measure educators' tolerance of risk in children's play.

description: The survey was developed as part of a Ph.D. project investigating potential changes in children’s outdoor activity in Australian early childhood education and care centres during the pandemic and measuring educators’ tolerance of risk. The survey was developed from surveys identified in a systematic review (Liu et al., 2022) and a validated teacher tolerance of risk scale(T-TRiPS) (Ihrig, 2020), which was modified for the purpose of the study. The survey was designed for online delivery using LimeSurvey as the platform. The use of the survey was approved by the Macquarie University Human Ethics Committee (Reference No: 520221188140234).References:Ihrig, K. (2020). <i>Teacher tolerance of risk in play scale (T-TRiPS): evaluating the psychometric properties of a new measure</i> (Doctoral dissertation, Colorado State University).Liu, J., Wyver, S., & Chutiyami, M. (2022). Impacts of COVID-19 Restrictions on Young Children’s Outdoor Activity: A Systematic Review. <i>Children</i>, <i>9</i>(10), 1564. https://doi.org/10.3390/children9101564
DOI: 10.6084/m9.figshare.24189021
title: Data for the artical "Relationship between self-neglect and depression in community-dwelling older adults: The mediation role of attitudes toward aging and sleep quality"

description: Cross-sectional research was conducted in communities in Chengdu area of China. A stratified cluster random sampling method was adopted to divide the entire Chengdu area into three major regions according to the south, middle, and north positions. Then, three communities were randomly selected in each region. Shuangliu Jiang 'an community, Chenghua Qinglong community and Xindu Tuojiang community were chosen for questionnaire investigation. The data were collected between March and May 2022. A total of 617ques-tionnaires were distributed and 555 were returned (a recovery rate of 89.95%).Geriatric Depression Scale, Older adults’ Self-neglect Scale,Attitudes to Aging Questionnaire and Pittsburgh Sleep Quality Index were used in the surey.
DOI: 10.6084/m9.figshare.24189021.v1
title: Data for the artical "Relationship between self-neglect and depression in community-dwelling older adults: The mediation role of attitudes toward aging and sleep quality"

description: Cross-sectional research was conducted in communities in Chengdu area of China. A stratified cluster random sampling method was adopted to divide the entire Chengdu area into three major regions according to the south, middle, and north positions. Then, three communities were randomly selected in each region. Shuangliu Jiang 'an community, Chenghua Qinglong community and Xindu Tuojiang community were chosen for questionnaire investigation. The data were collected between March and May 2022. A total of 617ques-tionnaires were distributed and 555 were returned (a recovery rate of 89.95%).Geriatric Depression Scale, Older adults’ Self-neglect Scale,Attitudes to Aging Questionnaire and Pittsburgh Sleep Quality Index were used in the surey.
DOI: 10.6084/m9.figshare.23574855
title: Arctic cyclones have become more intense and longer-lived over the past seven decades

description: Datasets created and used for the paper:Zhang, X., Tang, H, Zhang, J., Walsh, J. E., Roesler, E. L., Hillman, B., Ballinger, T. J. & Weijer, W. Arctic cyclones have become more intense and longer-lived over the past seven decades. Commun. Earth Environ. https://doi.org/10.1038/s43247-023-01003-0 (2023).<br>EnCAI-Jan1950-Dec2021.txt: Monthly Energy-based Arctic Cyclone Activity (EnCAI) Index from January 1950 – December 2021.Count_SLP_Bins_Winter.dat: The Arctic cyclone count anomalies for winter (October – March) from 1950/51 – 2020/21.Count_SLP_Bins_Summer.dat: The Arctic cyclone count anomalies for summer (April – September) from 1950 – 2021.Duration_SLP_Bins_Winter.dat: The Arctic cyclone duration anomalies for winter (October – March) from 1950/51 – 2020/21.Duration_SLP_Bins_Summer.dat: The Arctic cyclone duration anomalies for summer (April – September) from 1950 – 2021.Freq_Winter_1985-86-2020_21.dat: Spatial frequencies of strong cyclones during winter (October – March) from 1985/86 – 2020/21.Freq_Winter_1950-51-1984-85.dat: Spatial frequencies of strong cyclones during winter (October – March) from 1950/51 – 1984/85.Freq_Winter_Diff.dat: Differences of the spatial frequencies of winter strong cyclones between 1985/86 – 2020/21 and 1950/51 - 1984/85.Freq_Summer_1986-2021.dat: Spatial frequencies of strong cyclones during summer (April - September) from 1986 – 2021.Freq_Summer_1950-1985.dat: Spatial frequencies of strong cyclones during summer (April - September) from 1950 – 1985.<br>Freq_Summer_Diff.dat: Differences of the spatial frequencies of summer strong cyclones between 1986 – 2021 and 1950 - 1985.EGR.nc: Climatological mean Maximum Eady Growth Rate (EGR) for winter (October - March) from 1950/51 - 1984/85 and from 1985/86 - 2020/21; Climatological mean Maximum Eady Growth Rate (EGR) for summer (April - September) from 1950 - 1985 and from 1986 - 2021; Differences of winter and summer EGRs between the two multidecadal time periods.z500.nc: Climatological mean 500 hPa Goepotential Height (GHT) for winter (October - March) from 1950/51 - 1984/85 and from 1985/86 - 2020/21; Climatological mean 500 hPa Goepotential Height (GHT) for summer (April - September) from 1950 - 1985 and from 1986 - 2021; Differences of winter and summer 500 hPa GHTs between the two multidecadal time periods.z300.nc: The same as z500.nc, but for 300 hPa.z50.nc: The same as z500.nc, but for 50 hPa.PV300.nc: Climatological mean 300 hPa Geopotential Vorticity (PV) for winter (October - March) from 1950/51 - 1984/85 and from 1985/86 - 2020/21; Climatological mean 300 hPa Goepotential Vorticity (PV) for summer (April - September) from 1950 - 1985 and from 1986 - 2021; Differences of winter and summer 300 hPa PVs between the two multidecadal time periods.<br>Note: the data files ending with "txt" and "dat" are in ascii format and with "nc" are in NetCDF format.<br>
DOI: 10.6084/m9.figshare.24188487
title: The Data of Artefacts in satellite observations bias forest resilience assessment

description: This is data from Artefacts in satellite observations bias forest resilience assessment.
DOI: 10.6084/m9.figshare.24188487.v1
title: Fig2 Data

description: This is data from Artefacts in satellite observations bias forest resilience assessment. The .mat is Kndvi Gap-filled by ST-Tensor from 2000-2020 with spatial resolution of 0.05 degree.
DOI: 10.6084/m9.figshare.24188487.v2
title: The Data of Artefacts in satellite observations bias forest resilience assessment

description: This is data from Artefacts in satellite observations bias forest resilience assessment.
DOI: 10.57841/casdc.0002518
title: 纸基摩擦材料与不同含碳量钢配副之间的摩擦学性能及其失效机理研究
DOI: 10.5281/zenodo.7395800
title: Solutions to achieve net-zero emissions in irrigated agriculture

description: The original geospatial data of the figure.S5-9. The dataset contains: -Global energy consumption and carbon emissions from irrigation . Units: Terajoule/year and Million tonnes CO2/year. -Energy consumption and carbon emissions with different irrigation systems. Units: Terajoule/year and Million tonnes CO2/year. -Global energy consumption under drip and sprinkler scenarios. Units: Terajoule/year
DOI: 10.5281/zenodo.7395799
title: Solutions to achieve net-zero emissions in irrigated agriculture

description: The original geospatial data of the figure.S5-9. The dataset contains: -Global energy consumption and carbon emissions from irrigation . Units: Terajoule/year and Million tonnes CO2/year. -Energy consumption and carbon emissions with different irrigation systems. Units: Terajoule/year and Million tonnes CO2/year. -Global energy consumption under drip and sprinkler scenarios. Units: Terajoule/year
DOI: 10.5281/zenodo.8374695
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by André Cardinal, http://www.wikidata.org/entity/Q38843436. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q38843436
DOI: 10.5281/zenodo.8374694
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by André Cardinal, http://www.wikidata.org/entity/Q38843436. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q38843436
DOI: 10.57841/casdc.0002519
title: 核环境下的摩擦、磨损与润滑
DOI: 10.5517/ccdc.csd.cc2gydhb
title: CCDC 2292372: Experimental Crystal Structure Determination

description: Related Article: Ahmed Fathy|2023|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.cc2gydjc
title: CCDC 2292373: Experimental Crystal Structure Determination

description: Related Article: Ahmed Fathy|2023|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.cc2gydkd
title: CCDC 2292374: Experimental Crystal Structure Determination

description: Related Article: Ahmed Fathy|2023|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: 10.34740/kaggle/dsv/6534579
title: BART Ridership
DOI: 10.18112/openneuro.ds004771.v1.0.0
title: EEG/ERP data from a Python Reading Task
DOI: 10.57841/casdc.0002520
title: 硅碳氢润滑油的空间长寿命润滑性能分析
DOI: 10.5281/zenodo.8374689
title: Legacy_2022_REM

description: REM for the full Legacy 1 site, 2022
DOI: 10.5281/zenodo.8374688
title: Legacy_2022_REM

description: REM for the full Legacy 1 site, 2022
DOI: 10.6084/m9.figshare.24189243.v1
title: Biogeographic regionalization of the Amazon using highly diverse horse flies (Diptera: Tabanidae): insights from three decades of data

description: Delimiting biogeographic regions based on occurrence data is an interesting approach to investigating processes behind biodiversity distribution patterns. Comparing spatial scales and identifying predictor variables of biogeographic regions have wide application for biodiversity conservation. In this study we used a comprehensive database containing more than thirty years of horse fly records to estimate species richness, endemism, and species composition, and regionalize the Amazon biogeographically. We compared five spatial scales defined by grid size (1–5º), and test five hypotheses (elevation, climate, vegetation cover, and two regionalizations from the literature) to identify predictors of the biogeographic regions. Endemism, species richness and composition were predicted by different sets of predictor variables, although the models were highly dependent on spatial scale. We identified three well-defined biogeographic regions, which have been formed by a combination of geographic distance, climate and historical factors converging with some theories proposed for mammals. Our models indicated dispersal as a key factor for regionalization, as it can be constrained by a combination of climate and historical processes changing habitats over time, although this finding was highly dependent on spatial scale. We showed that horse flies are interesting models for biogeography although they have been historically neglected.
DOI: 10.57841/casdc.0002521
title: 蛇纹石矿物作为润滑油添加剂对锡青铜摩擦学行为的影响
DOI: 10.6084/m9.figshare.24123474
title: Genome assembly and annotations of <i>Dorcus hopei</i> (Coleoptera: Lucanidae)

description: The chromosome-level genome assembly file (.fasta) and annotation file (.gff) of the stag beetle <i>Dorcus hopei.</i>
DOI: 10.6084/m9.figshare.24123474.v1
title: Assembly and annotation of the stag beetle <i>Dorcus hopei</i>

description: The chromosome-level genome assembly file (.fasta) and annotation file (.gff) of the stag beetle <i>Dorcus hopei.</i>
DOI: 10.26179/214t-mq24
title: Gravity Survey Results, Wilkes Ice Cap, 1964-65
DOI: 10.6084/m9.figshare.24189246
title: Publication Bias: Evidence from a Comparative Study between Results-Blind Review and Transparent Peer Review

description: Publication Bias: Evidence from a Comparative Study between Results-Blind Review and Transparent Peer Review
DOI: 10.6084/m9.figshare.24189246.v1
title: Publication Bias: Evidence from a Comparative Study between Results-Blind Review and Transparent Peer Review

description: Publication Bias: Evidence from a Comparative Study between Results-Blind Review and Transparent Peer Review
DOI: 10.5281/zenodo.8374731
title: Comprehensive analysis of the cuproptosis-related gene glutaminase across cancers: a potential prognostic therapeutic target for gliomas

description: <strong>Supplementary Table S1</strong> Clinical information of glioma patients. <strong>Supplementary Table S2</strong> Top 100 genes associated with GLS. <strong>Supplementary Table S3</strong> GO enrichment analysis data for GLS-associated genes. <strong>Supplementary Table S4</strong> KEGG enrichment analysis data for GLS-associated genes. <strong>Supplementary Table S5</strong> Antineoplastic drugs significantly associated with GLS.
DOI: 10.5281/zenodo.8374730
title: Comprehensive analysis of the cuproptosis-related gene glutaminase across cancers: a potential prognostic therapeutic target for gliomas

description: <strong>Supplementary Table S1</strong> Clinical information of glioma patients. <strong>Supplementary Table S2</strong> Top 100 genes associated with GLS. <strong>Supplementary Table S3</strong> GO enrichment analysis data for GLS-associated genes. <strong>Supplementary Table S4</strong> KEGG enrichment analysis data for GLS-associated genes. <strong>Supplementary Table S5</strong> Antineoplastic drugs significantly associated with GLS.
DOI: 10.6084/m9.figshare.24188892
title: Global ERA5 monthly averaged reanalysis Tmax data on single levels from 1940 to 2022 (0.25 degree)

description: Global ERA5 monthly averaged reanalysis Tmax data on single levels from 1940 to 2022 (0.25 degree)Please cite
DOI: 10.6084/m9.figshare.24188919
title: Global ERA5 monthly averaged reanalysis Tmin data on single levels from 1940 to 2022 (0.25 degree)

description: Global ERA5 monthly averaged reanalysis Tmin data on single levels from 1940 to 2022 (0.25 degree)
DOI: 10.6084/m9.figshare.24188919.v1
title: Global ERA5 monthly averaged reanalysis Tmin data on single levels from 1940 to 2022 (0.25 degree)

description: Global ERA5 monthly averaged reanalysis Tmin data on single levels from 1940 to 2022 (0.25 degree)
DOI: 10.6084/m9.figshare.24049779.v2
title: An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios

description: A total of 20 participants completed this driving simulator experiment. This study complied with the Declaration of Helsinki and was approved by the Institutional Review Board of Tsinghua University, China(Approval number: 20210102). Participants were voluntary after the task and informed consent had been explained, they also were informed that they may terminate this experiment at any time without any type of penalty, and the informed consent includes the notice that the results associated with this work might be published in academic journals or books.This dataset containsthe raw data of ΔHbOand ΔHbR, the preprocessing data of ΔHbOand ΔHbRby Homer3 and driving scenario data, and the driving scenario data is compose of the position, velocity and acceleration of ego vehicle and target vehicle (or pedestrian).They were stored in the folders of "RawfNIRSDataset", "PreprocessingfNIRSDataset", and "VehicleStatusDataset" respectively in Figshare. The data of twenty participants in same highly automated driving scenario was stored in a same folder, and the shorthand of scenario name is named as the folder name. Besides, The codes of preprocessing functions and procedures of validation mentioned in the technical validation section and a brief description(readme.docx) have been uploaded in the folder “code”in Figshare.
DOI: 10.6084/m9.figshare.24049779.v1
title: An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios

description: A total of 20 participants completed this driving simulator experiment. This study complied with the Declaration of Helsinki and was approved by the Institutional Review Board of Tsinghua University, China. Participants were voluntary after the task and informed consent had been explained, and they also were informed that they may terminate this experiment at any time without any type of penalty. This experiment need participants focus on the front scenarios, so few random stimulating sounds are added in each VTD segment. When doing experiment, participant sits in this driving simulator and looks at the front screen. When he feels dangerous or hears a stimulating sound, he is asked to press the keyboard.This dataset is collected using a human factor signal acquisition system, and it includes a hardware-in-loop equipment, some peripheral equipments, and a host computer. This hardware-in-loop equipment is a real-time system(Redhawk system, and runs Virtual Test Drive (VTD) software; The host computer is a window system and runs Matlab/Simulink, Python module and Oxysoft software. The functions of Matlab/Simulink include the communication between hardware-in-loop equipment and host computer by using User Datagram Protocol (UDP) and the communication between host computer and Oxysoft software. Python module will record the time when they press a keyboard. Oxysoft software and blood oxygen monitoring device work together for acquiring cerebral oxy-haemoglobin change ΔHbO and deoxy-haemoglobin change ΔHbR of passengers. When Matlab/Simulink receives the data about position, velocity and acceleration of ego vehicle and target vehicle (or pedestrian), the raw data of ΔHbO and ΔHbR and participant status, and Matlab/Simulink will joint those data with current time, then compose a new data.When all participants finish this experiment, the new data in same highly automated driving scenario is extracted based on time, and those data is considered as a group. The data of each participant in a highly automated driving scenario is considered as a sample data, and the sample data contains the information of position, velocity acceleration about ego vehicle and target vehicle (or pedestrian) and the raw data of ΔHbO and ΔHbR. Besides, the sample data also contains a kinetic energy field and a flag bit, the kinetic energy field may indicate a danger degree of driving scenario, and it involves relative longitudinal distance and the speed of target vehicle (or pedestrian); The flag bit indicates that whether or not the period in a sample time contains a stimulating sound, if it is true, then the period contains a stimulating sound, or not.<br>
DOI: 10.26179/hc0d-bn57
title: Oxygen Isotope Analysis for Law Dome Ice Cores, 1974-75
DOI: 10.6084/m9.figshare.12807032
title: MPF_Kobe_2.0: Genome assembly and gene-model of ferret (Mustela putorius furo)

description: The genome library was constructed using the Chromium Genome Reagent Kit v1 Chemistry (10x Genomics), and sequencing was performed with an Illumina HiSeq X to obtain paired-end 151 nt-long reads. De novo genome assembly using the Chromium linked-reads was performed with Supernova ver. 2.0.0 (10x Genomics). <br> Gene model ver. 2.7 was constructed in the three following steps. First, ab initio gene prediction was performed by BRAKER. Second, the information of RNA-seq alignment was directly incorporated into the gene models to improve the coverage of the 3' UTR region of each gene which is not reliably predicted in ab initio gene prediction. Finally, the existing transcript sequences of MusPutFur1.0 available at NCBI RefSeq (GCF_000215625.1) was incorporated into the gene models by mapping their sequences. The gene name was adopted from the annotation in RefSeq, and the gene name of a newly predicted locus was assigned according to the results of a BLASTX search against the UniProtKB Swiss-Prot database. <br> - Genome assembly used in the article and related gene-model Article_MPF_Kobe_2.0.fasta.gz Article_MPF_Kobe_2.0_26.gtf.gz <br> - Genome assembly deposited in DDBJ and related gene-model DDBJ_MPF_Kobe_2.0.fasta.gz DDBJ_MPF_Kobe_2.0_27.gtf.gz <br> BioProject: PRJDB9960 BioSample: SAMD00229826 DRA: DRA010274 <br>
DOI: 10.6084/m9.figshare.12807032.v1
title: MPF_Kobe_2.0: Genome assembly and gene-model of ferret (Mustela putorius furo)

description: The genome library was constructed using the Chromium Genome Reagent Kit v1 Chemistry (10x Genomics), and sequencing was performed with an Illumina HiSeq X to obtain paired-end 151 nt-long reads. De novo genome assembly using the Chromium linked-reads was performed with Supernova ver. 2.0.0 (10x Genomics). <br> Gene model ver. 2.7 was constructed in the three following steps. First, ab initio gene prediction was performed by BRAKER. Second, the information of RNA-seq alignment was directly incorporated into the gene models to improve the coverage of the 3' UTR region of each gene which is not reliably predicted in ab initio gene prediction. Finally, the existing transcript sequences of MusPutFur1.0 available at NCBI RefSeq (GCF_000215625.1) was incorporated into the gene models by mapping their sequences. The gene name was adopted from the annotation in RefSeq, and the gene name of a newly predicted locus was assigned according to the results of a BLASTX search against the UniProtKB Swiss-Prot database. <br> - Genome assembly used in the article and related gene-model Article_MPF_Kobe_2.0.fasta.gz Article_MPF_Kobe_2.0_26.gtf.gz <br> - Genome assembly deposited in DDBJ and related gene-model DDBJ_MPF_Kobe_2.0.fasta.gz DDBJ_MPF_Kobe_2.0_27.gtf.gz <br> BioProject: PRJDB9960 BioSample: SAMD00229826 DRA: DRA010274 <br>
DOI: 10.26179/jf3c-bn42
title: SGA and BHC Grid Strain and Accumulation Measurements, Law Dome 1981-82
DOI: 10.6084/m9.figshare.24189894
title: <b>NOT JUST MOTIVATION, BUT ALSO SELF-REGULATED LEARNING AFFECTED</b><b> </b><b>THE ACADEMIC ACHIEVEMENT OF INDONESIAN MEDICAL STUDENTS</b>

description: This is the first study that explores about the relation about motivation and Self Regulated Learning in Undegraduate Medical Students in Indonesia
DOI: 10.6084/m9.figshare.24189894.v1
title: <b>NOT JUST MOTIVATION, BUT ALSO SELF-REGULATED LEARNING AFFECTED</b><b> </b><b>THE ACADEMIC ACHIEVEMENT OF INDONESIAN MEDICAL STUDENTS</b>

description: This is the first study that explores about the relation about motivation and Self Regulated Learning in Undegraduate Medical Students in Indonesia
DOI: 10.6084/m9.figshare.24189888
title: Assessment of LLINs.sav

description: Assessment of Long-Lasting Insecticide Nets Coverage, Utilization, And Associated Factors Among Households in Malaria Elimination Districts of Arsi Zone, Oromia Region, Ethiopia