cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h3zystx72y.3
title: The program for quantitative analysis of the transmission dynamics of adenovirus outbreak in a training center based on a dynamic social network.

description: The main program of the model.
DOI: 10.17632/brytww66d6.1
title: Sensitivity analysis for the quantitative analysis of the transmission dynamics of adenovirus outbreak in recruits based on a dynamic social network

description: The programme of the sensitivity analysis for the model.
DOI: 10.17632/brytww66d6.2
title: Sensitivity analysis for the quantitative analysis of the transmission dynamics of adenovirus outbreak in recruits based on a dynamic social network

description: The programme of the sensitivity analysis for the model.
DOI: 10.17632/brytww66d6
title: Sensitivity analysis for quantitative analysis of the transmission dynamics of adenovirus outbreak in a training center based on a dynamic social network.

description: The programme of the sensitivity analysis for the model.
DOI: 10.17632/brytww66d6.3
title: Sensitivity analysis for quantitative analysis of the transmission dynamics of adenovirus outbreak in a training center based on a dynamic social network.

description: The programme of the sensitivity analysis for the model.
DOI: 10.5281/zenodo.15040551
title: Studying barotropic instability of the 30 hPa level: unstable eigenmodes

description: This dataset contains the results of a long-term analysis of the unstable eigenmodes of the shallow water system linearized around the 30 hPa zonal mean flow. Such data provides opportunity to study the barotropic instability of the QBO region and the relation between unstable eigenmodes and mixed Rossby-gravity waves. 

We linearize the spherical shallow water equations around the 30 hPa zonal mean zonal wind for 5-day timesteps within the period of 1990-1999, which is followed by the computation of the eigenmodes of the linearized equations  by using the BGHough software, whose description can be found in https://doi.org/10.1175/JAS-D-24-0033.1 (Appendix A therein). The procedure of BGHough is based on the algorithm proposed by https://doi.org/10.1175/1520-0469(1980)037<0917:EOZFOT>2.0.CO;2. We apply 10 km as equivalent depth corresponding to the barotropic vertical mode. The 30 hPa zonal wind field, used for the computations is taken from ERA5 reanalysis (https://doi.org/10.1002/qj.3803).

We compute the background eigenmodes for the zonal wavenumers k=1-12. Among these eigenmodes we take into account only the two most unstable ones, i.e. the modes with the largest imaginary part of the complex eigenfrequency.
DOI: 10.5281/zenodo.15040552
title: Studying barotropic instability of the 30 hPa level: unstable eigenmodes

description: This dataset contains the results of a long-term analysis of the unstable eigenmodes of the shallow water system linearized around the 30 hPa zonal mean flow. Such data provides opportunity to study the barotropic instability of the QBO region and the relation between unstable eigenmodes and mixed Rossby-gravity waves. 

We linearize the spherical shallow water equations around the 30 hPa zonal mean zonal wind for 5-day timesteps within the period of 1990-1999, which is followed by the computation of the eigenmodes of the linearized equations  by using the BGHough software, whose description can be found in https://doi.org/10.1175/JAS-D-24-0033.1 (Appendix A therein). The procedure of BGHough is based on the algorithm proposed by https://doi.org/10.1175/1520-0469(1980)037<0917:EOZFOT>2.0.CO;2. We apply 10 km as equivalent depth corresponding to the barotropic vertical mode. The 30 hPa zonal wind field, used for the computations is taken from ERA5 reanalysis (https://doi.org/10.1002/qj.3803).

We compute the background eigenmodes for the zonal wavenumers k=1-12. Among these eigenmodes we take into account only the two most unstable ones, i.e. the modes with the largest imaginary part of the complex eigenfrequency.
DOI: 10.17632/rwz76wht2j.1
title: Table s1 Distribution of personnel by unit

description: The quantity distribution of various groups within each company/unit
DOI: 10.17632/rwz76wht2j
title: Table s1 Distribution of personnel by unit

description: The quantity distribution of various groups within each company/unit
DOI: 10.17632/rwz76wht2j.2
title: Table s1 Distribution of personnel by unit

description: The quantity distribution of various groups within each company/unit
DOI: 10.17632/mg6gws5dbr.1
title: Table s2 The number of daily contacts between different personnel categories during the day time

description: The frequency of contact between different categories of groups.
DOI: 10.17632/mg6gws5dbr.2
title: Table s2 The median of daily contacts between different personnel categories during the daytime, for all the companies

description: We randomly selected 11 squads from 4 different companies and conducted a sampling survey to investigate the contact frequency among different categories of individuals. Subsequently, we calculated the median contact frequency.
DOI: 10.17632/mg6gws5dbr
title: Table s2 The median of daily contacts between different personnel categories during the daytime, for all the companies

description: We randomly selected 11 classes from 4 different companies and conducted a sampling survey to investigate the contact frequency among different categories of individuals. Subsequently, we calculated the median contact frequency.
DOI: 10.17632/mg6gws5dbr.3
title: Table s2 The median of daily contacts between different personnel categories during the daytime, for all the companies

description: We randomly selected 11 classes from 4 different companies and conducted a sampling survey to investigate the contact frequency among different categories of individuals. Subsequently, we calculated the median contact frequency.
DOI: 10.17632/94mksskbmm.1
title: Table s3 The impact of tiso and rc on the cumulative number of patients

description: The cumulative number of patients resulting from different isolation times and intensities of contact between various companies.
DOI: 10.17632/94mksskbmm
title: Table s3 The impact of tiso and rc on the cumulative number of patients

description: The cumulative number of patients resulting from different isolation times and intensities of contact between various companies.
DOI: 10.17632/94mksskbmm.2
title: Table s3 The impact of tiso and rc on the cumulative number of patients

description: The cumulative number of patients resulting from different isolation times and intensities of contact between various companies.
DOI: 10.17632/9f393k47nk
title: s2. Distribution Characteristics of Case Occurrences and Effective Reproduction Number Over Time as the Number of Simulations Varies, Given rc=0.2 and tinf=20

description: Distribution Characteristics of Case Occurrences and Effective Reproduction Number Over Time as the Number of Simulations Varies, Given rc=0.2 and tinf=20
DOI: 10.17632/9f393k47nk.1
title: s2. Distribution Characteristics of Case Occurrences and Effective Reproduction Number Over Time as the Number of Simulations Varies, Given rc=0.2 and tinf=20

description: Distribution Characteristics of Case Occurrences and Effective Reproduction Number Over Time as the Number of Simulations Varies, Given rc=0.2 and tinf=20
DOI: 10.17632/8scdmfdcfb.1
title: Datasets on CFRP specimens subjected to compression after impact tests

description: This dataset is developed to study carbon fiber reinforced plastics laminates after compression after impact tests. It is related to a Data in Brief article, which describes the experiment in detail, and the main article on how the authors used the datasets. The compression after impact tests were conducted after the low velocity impact testing with various conditions, changing the impactor shape, the impact energy and the stacking sequence, which generates barely visible impact damage. See the other Mendeley data URLs to find the data after the low velocity impact testing.

1_Low velocity impact testing condition
2_Specimen size
3_Specimen image
4_Compression after impact testing raw data
5_Compression after impact strength
DOI: 10.17632/8scdmfdcfb.2
title: Datasets on CFRP specimens subjected to compression after impact tests

description: This dataset is developed to study carbon fiber reinforced plastics laminates after compression after impact tests. It is related to a Data in Brief article, which describes the experiment in detail, and the main article on how the authors used the datasets. The compression after impact tests were conducted after the low velocity impact testing with various conditions, changing the impactor shape, the impact energy and the stacking sequence, which generates barely visible impact damage. See the other Mendeley data URLs to find the data after the low velocity impact testing.

1_Low velocity impact testing condition
2_Specimen size
3_Specimen image
4_Compression after impact testing raw data
5_Compression after impact strength
DOI: 10.17632/8scdmfdcfb.3
title: Datasets on CFRP specimens subjected to compression after impact tests

description: This dataset is developed to study carbon fiber reinforced plastics laminates after compression after impact tests. It is related to a Data in Brief article, which describes the experiment in detail, and the main article on how the authors used the datasets. The compression after impact tests were conducted after the low velocity impact testing with various conditions, changing the impactor shape, the impact energy and the stacking sequence, which generates barely visible impact damage. See the other Mendeley data URLs to find the data after the low velocity impact testing.

1_Low velocity impact testing condition
2_Specimen size
3_Specimen image
4_Compression after impact testing raw data
5_Compression after impact strength
DOI: 10.17632/mj388dcp8j.1
title: The moderating effect of power distance among high-risk groups of stroke on health literacy and self-management behaviors

description: The sample included 612 outpatient patients from four different community hospitals in the Pudong district of Shanghai. The survey utilized the Stroke Self-Management Behavior Scale (SMB), the Health Literacy Measure for Patients with Chronic Diseases (HeLMES), and the Patients’ Power Distance Scale (PPDS). Using the Johnson-Neyman method and SPSS Process Macro, the moderating effect of power distance and its effective value range were explored.
 The average score for high-risk stroke individuals HLM was 2.15±0.40, in SMB was 2.24±0.39, and in PPD was 3.34±0.23. Power distance had a significant negative moderating effect on the relationship between health literacy and self-management behavior (b = -0.05, p &lt; 0.001, 95% CI [-0.06, -0.04]). When the power distance score was in the range of 40 to 56.9, health literacy had a positive impact on self-management behavior.
DOI: 10.17632/j7pc5gh7f3.1
title: Cricket Performance Dataset: Evaluating the Influence of Protective Gear on Agility and Sprint Performance

description: This dataset provides empirical data on the impact of wearing cricket protective gear on agility and sprint performance among competitive cricket players. The study was conducted using two standardized tests: the New Multi-Change of Direction Agility Test (NMAT) and the Bangsbo Sprint Test, with performance recorded both with and without cricket gear. The dataset includes measurements from 72 male cricket players, categorized into three age groups: Under-16 (U16), Under-18 (U18), and Under-23 (U23). Key attributes include demographic details (age, height, weight, BMI), test performance times, and dominant hand preference. This dataset can be used for sports analytics, machine learning-based performance prediction, and optimizing training methodologies for cricket players.

Keywords:
Cricket performance, agility, sprint test, protective gear, NMAT, Bangsbo Sprint Test, machine learning in sports, athlete performance analysis

Dataset Information:
Subjects: 72 male competitive cricket players
Age Groups: U16, U18, U23
Tests Conducted: NMAT (agility), Bangsbo Sprint Test (sprint performance)
Conditions: With and without protective cricket gear
Variables Included: Age, height, weight, BMI, NMAT times, Bangsbo sprint times, dominant hand, and player division

Column Descriptions: 
Age Group: U16, U18, U23 categories

Height (cm): Player's height in centimeters

Weight (kg): Player's weight in kilograms

BMI: Body Mass Index calculated from height and weight

NMATwithout Cricket Gears in sec: Agility test time without gear

NMATwith Cricket Gears in sec: Agility test time with gear

Bangsbo test wihout Cricket Gears in sec: Sprint test time without gear

Bangsbo test With Cricket Gears in sec: Sprint test time with gear

Methodology:
Study Design: Cross-sectional study
Testing Area: Cricket training facility with controlled conditions
Equipment Used:
Standard cricket gear (pads, gloves, helmet)
Electronic timing gates for precise measurements

Procedure:
Players completed NMAT and Bangsbo Sprint Test under both conditions (with/without gear).
Each test was performed after a warm-up, with sufficient recovery time between trials to minimize fatigue.
Performance times were recorded and analyzed.

Potential Research Applications:
Sports Performance Analysis: Evaluating how wearing cricket gear influences speed and agility.
Injury Prevention & Biomechanics: Understanding the potential risk of injury due to restricted mobility.
Sports Equipment Optimization: Informing the development of lighter, performance-friendly cricket gear.
Machine Learning for Sports Analytics: Predicting performance outcomes using AI-driven models.
DOI: 10.17632/j7pc5gh7f3.2
title: Cricket Performance Dataset: Evaluating the Influence of Protective Gear on Agility and Sprint Performance

description: This dataset provides empirical data on the impact of wearing cricket protective gear on agility and sprint performance among competitive cricket players. The study was conducted using two standardized tests: the New Multi-Change of Direction Agility Test (NMAT) and the Bangsbo Sprint Test, with performance recorded both with and without cricket gear. The dataset includes measurements from 72 male cricket players, categorized into three age groups: Under-16 (U16), Under-18 (U18), and Under-23 (U23). Key attributes include demographic details (age, height, weight, BMI), test performance times, and dominant hand preference. This dataset can be used for sports analytics, machine learning-based performance prediction, and optimizing training methodologies for cricket players.

Keywords:
Cricket performance, agility, sprint test, protective gear, NMAT, Bangsbo Sprint Test, machine learning in sports, athlete performance analysis

Dataset Information:
Subjects: 72 male competitive cricket players
Age Groups: U16, U18, U23
Tests Conducted: NMAT (agility), Bangsbo Sprint Test (sprint performance)
Conditions: With and without protective cricket gear
Variables Included: Age, height, weight, BMI, NMAT times, Bangsbo sprint times, dominant hand, and player division

Column Descriptions: 
Age Group: U16, U18, U23 categories

Height (cm): Player's height in centimeters

Weight (kg): Player's weight in kilograms

BMI: Body Mass Index calculated from height and weight

NMATwithout Cricket Gears in sec: Agility test time without gear

NMATwith Cricket Gears in sec: Agility test time with gear

Bangsbo test wihout Cricket Gears in sec: Sprint test time without gear

Bangsbo test With Cricket Gears in sec: Sprint test time with gear

Methodology:
Study Design: Cross-sectional study
Testing Area: Cricket training facility with controlled conditions
Equipment Used:
Standard cricket gear (pads, gloves, helmet)
Electronic timing gates for precise measurements

Procedure:
Players completed NMAT and Bangsbo Sprint Test under both conditions (with/without gear).
Each test was performed after a warm-up, with sufficient recovery time between trials to minimize fatigue.
Performance times were recorded and analyzed.

Potential Research Applications:
Sports Performance Analysis: Evaluating how wearing cricket gear influences speed and agility.
Injury Prevention & Biomechanics: Understanding the potential risk of injury due to restricted mobility.
Sports Equipment Optimization: Informing the development of lighter, performance-friendly cricket gear.
Machine Learning for Sports Analytics: Predicting performance outcomes using AI-driven models.
DOI: 10.17632/j7pc5gh7f3.3
title: Cricket Performance Dataset: Evaluating the Influence of Protective Gear on Agility and Sprint Performance

description: This dataset provides empirical data on the impact of wearing cricket protective gear on agility and sprint performance among competitive cricket players. The study was conducted using two standardized tests: the New Multi-Change of Direction Agility Test (NMAT) and the Bangsbo Sprint Test, with performance recorded both with and without cricket gear. The dataset includes measurements from 144 male cricket players, categorized into three age groups: Under-16 (U16), Under-18 (U18), and Under-23 (U23). Key attributes include demographic details (age, height, weight, BMI), test performance times, and dominant hand preference. This dataset can be used for sports analytics, machine learning-based performance prediction, and optimizing training methodologies for cricket players.

Keywords:
Cricket performance, agility, sprint test, protective gear, NMAT, Bangsbo Sprint Test, machine learning in sports, athlete performance analysis

Dataset Information:
Subjects: 72 male competitive cricket players
Age Groups: U16, U18, U23
Tests Conducted: NMAT (agility), Bangsbo Sprint Test (sprint performance)
Conditions: With and without protective cricket gear
Variables Included: Age, height, weight, BMI, NMAT times, Bangsbo sprint times, dominant hand, and player division

Column Descriptions: 
Age Group: U16, U18, U23 categories

Height (cm): Player's height in centimeters

Weight (kg): Player's weight in kilograms

BMI: Body Mass Index calculated from height and weight

NMATwithout Cricket Gears in sec: Agility test time without gear

NMATwith Cricket Gears in sec: Agility test time with gear

Bangsbo test wihout Cricket Gears in sec: Sprint test time without gear

Bangsbo test With Cricket Gears in sec: Sprint test time with gear

Methodology:
Study Design: Cross-sectional study
Testing Area: Cricket training facility with controlled conditions
Equipment Used:
Standard cricket gear (pads, gloves, helmet)
Electronic timing gates for precise measurements

Procedure:
Players completed NMAT and Bangsbo Sprint Test under both conditions (with/without gear).
Each test was performed after a warm-up, with sufficient recovery time between trials to minimize fatigue.
Performance times were recorded and analyzed.

Potential Research Applications:
Sports Performance Analysis: Evaluating how wearing cricket gear influences speed and agility.
Injury Prevention & Biomechanics: Understanding the potential risk of injury due to restricted mobility.
Sports Equipment Optimization: Informing the development of lighter, performance-friendly cricket gear.
Machine Learning for Sports Analytics: Predicting performance outcomes using AI-driven models.
DOI: 10.5255/ukda-sn-857525
title: Recovery Colleges Characterisation and Testing Programme: Work Package 1, Transcripts and Survey Data, 2021-2022

description: Recovery Colleges are a relatively recent initiative within mental health services. The first opened in 2009 in London and since then numbers have grown both in England and globally. They are based on principles of personal recovery in mental health, co-production between people with lived experience of mental health problems and professionals, and adult learning. Student eligibility criteria vary, but all serve people who use mental health services, with empirical evidence of benefit. Previously we developed a Recovery College fidelity measure and a preliminary change model identifying the mechanisms of action and outcomes for this group, which we refer to as service user students. The Recovery Colleges Characterisation and Testing (RECOLLECT) 2 study is a five-year (2020–2025) programme of research in England. The aim of RECOLLECT 2 is to determine Recovery Colleges’ effectiveness and cost-effectiveness and identify organisational influences on fidelity and improvements in mental health outcomes.
DOI: 10.17632/nv49tb4rgv.1
title: Geochronological and geochemical data of Late Cretaceous Rebang granitic dikes in northern Tibet

description: Table S1. Zircon U–Pb age data for the Rebang granitic dikes in the northern Tibet.
Table S2. Zircon trace element data (ppm) for the Rebang granitic dikes in the northern Tibet.
Table S3. Major (wt.%) and trace (ppm) element data for the Rebang granitic dikes in the northern Tibet.
Table S4. Zircon Hf isotopic data for the Rebang granitic dikes in the northern Tibet.
Table S5. Sr–Nd isotopic compositions of the Rebang granitic dikes in the northern Tibet.
DOI: 10.17632/czm58fp6g7.1
title: Enterobacter hormaechei L710hy

description: Nanopore sequencing data for single colonies obtained after passaging of strain L710hy.
DOI: 10.15468/dl.t9hzm2
title: Occurrence Download

description: A dataset listing the 15487 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Observation, Occurrence evidence, Material citation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata",
 "Year 1980-2023"
 ]
}

 The dataset's 15487 records were derived from 7098 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013110-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15786/20452374
title: Simulation dataset and analysis code for the HPC-driven computational reproducibility in numerical relativity codes: A use case study with IllinoisGRMHD

description: This dataset contains the simulation data performed using the Einstein toolkit on SDSC Expanse and TACC Stampede2 supercomputers, as described in the paper https://arxiv.org/abs/2307.01343
DOI: 10.3535/1fx-law-ltz
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vt0-gsb-2e2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15786/17161328
title: Hidden Barriers: The Experience of Academic Librarians and Archivists with Invisible Illnesses and/or Disabilities Dataset

description: This study seeks to identify barriers to academic librarianship for LIS professionals with invisible illnesses and/or disabilities. A survey of MLIS-holding librarians who live with invisible illness(es) and/or disabilities examined the impact of illness or disability on work, disclosure, and potential stigma within workplace culture. Results indicate cultures do not allow for open disclosure and hinder access to the federally-protected accommodations process, ultimately demonstrating an inequitable and inaccessible field. We can begin to break down these barriers through improved understanding of the diversity of disability and accessibility training geared towards employee inclusion within the LIS field. This dataset features the raw data from the questions. All other and textual answers have been removed to protect participant anonymity.
DOI: 10.3535/4fr-dyb-rwv
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/td8-f36-2hh
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15786/16968028
title: Data from a experiment testing responses of Boechera strict rhizosphere microbes to diel cycling and host genotype

description: Data from an experiment examining the influence of diel cycling on rhizosophere microbes. Data include measurements of DNA extracted, sequence counts, and plant performance metrics.