cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gfdzys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holocentrus leopardus Lacepède, 1802",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004616-250123221155621/datasets/export for details.
DOI: 10.17632/2nc2m253pm.1
title: Data of Safety attitudes in General Practice Nurses

description: This study aimed to investigate the safety attitudes of general practice nurses (GPNs). Data analysis was conducted to examine the effects of demographic factors—such as length of work experience and the number of general practitioners (GPs) or GPNs in the practice—on safety attitudes.

The findings indicated a positive relationship between safety attitudes and length of work experience and a negative relationship between safety attitudes and the number of GPs or GPNs in the practice. These relationships were measured using independent sample t-tests, ANOVA, and the Kruskal-Wallis H test.

Additionally, open-ended questions were employed to identify the safety-related concerns faced by GPNs and their needs regarding current practices. Data collection was conducted via a questionnaire comprising 34 items on a 5-point Likert scale and 8 open-ended questions. Quantitative data were analysed using SPSS, whilst qualitative data were analysed using NVivo.

One of the authors, a practising GPN, facilitated participant recruitment through professional connections. Invitations and survey links were distributed via designated gatekeepers.
DOI: 10.17632/2nc2m253pm.2
title: Data of Safety attitudes in General Practice Nurses

description: This study aimed to investigate the safety attitudes of general practice nurses (GPNs). Data analysis was conducted to examine the effects of demographic factors—such as length of work experience and the number of general practitioners (GPs) or GPNs in the practice—on safety attitudes.

The findings indicated a positive relationship between safety attitudes and length of work experience and a negative relationship between safety attitudes and the number of GPs or GPNs in the practice. These relationships were measured using ANOVA and the Kruskal-Wallis H test.

Question 11 was administered only to participants who responded with 'Strongly Agree' or 'Agree a little' to Question 10.

Responses to Question 10 were divided into 'Positive' and 'Negative' groups, and the impact of regular operational meetings on safety attitudes was analysed using a T-test.

Additionally, open-ended questions were employed to identify the safety-related concerns faced by GPNs and their needs regarding current practices. Data collection was conducted via a questionnaire comprising 34 items on a 5-point Likert scale and 8 open-ended questions. Quantitative data were analysed using SPSS, whilst qualitative data were analysed using NVivo.
DOI: 10.17632/gxbx2fthvt.1
title: "Access_Rent_over_1991_2021"

description: This chronological dataset presents information of the impact of oil revenues on access to electricity in Cameroon for the period 1991-2021. The data come from six different official sources: (1) World Bank (2) World Bank Development Indicator (3) National Hydrocarbons Corporation (4) https://EconPapers.repec.org/RePEc:oxf:oxcrwp:038 (5) https://onlinelibrary.wiley.com/doi/abs/10.1111/1467-8268.12182 (6) https://www.sciencedirect.com/science/article/pii/S0301420723006025. In addition to oil revenues and access to electricity, the data set includes three other variables (the price of crude oil, corruption and population growth) which make it easier to understand the key variables. Data analysis was carried out using Eviews. Using the ARDL and NARDL models, we find this set of interpretations of the data. For example, electricity access is negatively impacted by rent from oil in the near- and long term. In addition, long-term electricity access is negatively affected by a positive oil rent shock. A negative oil rent shock has an adverse effect negative on electricity access in the near- and long term. This data could help policymakers in their decision-making. Indeed, the negative effect of oil rent on electricity access could prompt governments to review their policies by controlling corruption and fluctuations in crude oil prices, for example. This data could enable governments to plan investments in electricity infrastructure using oil revenues, taking into account fluctuations in oil prices and the dynamics of corruption. The results of this data can be used to encourage discussions on the importance of electricity access and the economic implications of oil revenues with stakeholders, including policy-makers and researchers. Finally, we could identify gaps in data and analysis to guide future research, for example by exploring other variables that may influence electricity access.
DOI: 10.17632/hh5n9frpb5
title: First-principles investigations of diffusion of hydrogen in $\alpha$-Y and $\delta$-YH$_{2}$

description: The original input and output files of the calculations using VASP. The OUTCAR and POTCAR have been deleted to reduce the file size. The structures have been optimized(relaxed). The meaning of the files can be guessed easily based on the file/folder names.
DOI: 10.17632/hh5n9frpb5.1
title: First-principles investigations of diffusion of hydrogen in $\alpha$-Y and $\delta$-YH$_{2}$

description: The original input and output files of the calculations using VASP. The OUTCAR and POTCAR have been deleted to reduce the file size. The structures have been optimized(relaxed). The meaning of the files can be guessed easily based on the file/folder names.
DOI: 10.17632/f8xrgg9xjx.1
title: TAČR_project_management_key_competencies

description: The results of the questionnaire sent to 120 practising project managers in the Czech Republic regarding their competencies.
DOI: 10.17632/pjxp3d2vcj.1
title: results for the mutiple linear odering problem

description: Results of the \delta and Maxdiff measures for the m-farthest-sum, m-farthest min and VNS
DOI: 10.17632/pjxp3d2vcj.2
title: results for the mutiple linear odering problem

description: Results of the \delta and Maxdiff measures for the m-farthest-sum, m-farthest min and VNS
DOI: 10.5519/qd.n3jszw79
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (638 records)
DOI: 10.15468/dl.gnkp59
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenella coeruleoalba (Meyen, 1833)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004617-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nvkc4sgj6m.1
title: Spreadsheet Implementation for an Interactive Simulation of the Monty Hall Problem

description: The Monty Hall Problem (Three-Door Problem) is a well-known example for a counterintuitive problem in probability theory. This site provides a VBA-based spreadsheet (Excel) implementation for an interactive simulation of the Monty Hall Problem using Zoom or any other video conference software that enables group rooms. The game process and the associated simulation based on this Excel file are deliberately not fully automated; rather, the participants in the role of hosts and contestants should carry out essential steps themselves, interact with each other, and thus become an active part of the simulation. The settings allow for different assumptions regarding, among other things, the random or conscious nature of decisions. This allows a range of different game situations to be mapped - from a purely random game (based solely on Excel’s random number generator) on the one hand to a purely conscious game (based on possibly tactical decisions and expectations of the participants) on the other.

The simulation tool can be used in online teaching. Carrying out the interactive simulation provides data in the form of absolute and relative frequencies for wins and losses depending on whether the contestant switches doors or not. The results can then be discussed.
DOI: 10.17632/nvkc4sgj6m.2
title: Spreadsheet Implementation for an Interactive Simulation of the Monty Hall Problem

description: The Monty Hall Problem (Three-Door Problem) is a well-known example for a counterintuitive problem in probability theory. This site provides a VBA-based spreadsheet (Excel) implementation for an interactive simulation of the Monty Hall Problem using Zoom or any other video conference software that enables group rooms. The game process and the associated simulation based on this Excel file are deliberately not fully automated; rather, the participants in the role of hosts and contestants should carry out essential steps themselves, interact with each other, and thus become an active part of the simulation. The settings allow for different assumptions regarding, among other things, the random or conscious nature of decisions. This allows a range of different game situations to be mapped - from a purely random game (based solely on Excel’s random number generator) on the one hand to a purely conscious game (based on possibly tactical decisions and expectations of the participants) on the other.

The simulation tool can be used in online teaching. Carrying out the interactive simulation provides data in the form of absolute and relative frequencies for wins and losses depending on whether the contestant switches doors or not. The results can then be discussed.
DOI: 10.17632/nvkc4sgj6m.3
title: Spreadsheet Tool for an Interactive and Automatic Simulation of the Monty Hall Problem

description: The Monty Hall Problem (Three-Door Problem) is a well-known example for a counterintuitive problem in probability theory. This site provides a VBA-based spreadsheet implementation in Excel for an interactive and automatic simulation of the Monty Hall Problem.

The interactive simulation mode is carried out using Zoom or any other video conferencing software that enables group rooms. In this mode, the game process and the associated simulation based on the Excel tool provided here are deliberately not fully automated; rather, the participants in the role of hosts and contestants should carry out essential steps themselves, interact with each other, and thus become an active part of the simulation. The settings allow for different assumptions regarding, among other things, the random or conscious nature of decisions. This allows a range of different game situations to be mapped - from a purely random game (based solely on Excel’s random number generator) on the one hand to a purely conscious game (based on possibly tactical decisions and expectations of the participants) on the other. The results template can be used to aggregate the results of the interactive simulation of the breakout rooms, e.g. in combination with Moodle.

The automatic mode enables fully automatic simulation with different speed and display options, e.g. successive chart creation during simulation. Finally, both modes allow for different assumptions regarding the probabilities for the car location, the contestant’s first choice and the door opened by the host.

The simulation tool can be used in online teaching. Carrying out the interactive and automatic simulation provides data in the form of absolute and relative frequencies for wins and losses depending on whether the contestant switches doors or not. The results can then be discussed.

Versions of the simulation tool:

 - for Windows: Monty Hall Problem Simulation 4.0 (Win)
 - for Mac: Monty Hall Problem Simulation 4.0 (Mac) 

Please note: Some functions are not available in the Mac version of the simulation tool provided here.
DOI: 10.17632/9422c9xy5r.1
title: Dataset for event-based suspended sediment budget from Oreti River

description: High frequency sediment concentration and flow data collected from four monitoring sites down the Oreti River network, Southland, New Zealand. The data are from a series of flood events collected between 2017 and 2020.
DOI: 10.6084/m9.figshare.28284848
title: Urban birds FID and observers sex

description: Dataset with information regarding the escape behaviour of urban birds, measured as the flight initiation distance, in seven cities from five European countries. The dataset contains descriptive information regarding the urban areas where FID was collected, as well as the sex of human observers approaching avian species.
DOI: 10.6084/m9.figshare.28284848.v1
title: Urban birds FID and observers sex

description: Dataset with information regarding the escape behaviour of urban birds, measured as the flight initiation distance, in seven cities from five European countries. The dataset contains descriptive information regarding the urban areas where FID was collected, as well as the sex of human observers approaching avian species.
DOI: 10.15468/dl.26zrjn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinus coeruleoalbus Meyen, 1833",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004618-250123221155621/datasets/export for details.
DOI: 10.5281/zenodo.14745438
title: Psychometric Properties of the Renewable Energies Survey in Italian University Students

description: This dataset is associated with the article titled Psychometric Properties of the Renewable Energies Survey in Italian University Students, which is currently under submission.
DOI: 10.5281/zenodo.14745439
title: Psychometric Properties of the Renewable Energies Survey in Italian University Students

description: This dataset is associated with the article titled Psychometric Properties of the Renewable Energies Survey in Italian University Students, which is currently under submission.
DOI: 10.25345/c5f47h61z
title: MassIVE MSV000096966 - Subsynaptic Rps6ka1 controls muscle fiber identity and ameliorates cancer cachexia
title: The neuromuscular junction (NMJ), a specialized synapse connecting motor neurons and muscle fibers, is essential for muscle contraction and exhibits distinct functional properties across muscle fiber types. Curiously, fast-twitch fibers, crucial for rapid and powerful movements, are disproportionately vulnerable to wasting in pathologies like sarcopenia or cancer cachexia. However, the molecular basis underlying both the functional differences and selective disease susceptibility among muscle fiber types remain unclear. Here, we define the fiber type-specific transcriptomic signatures of NMJs, uncovering Rps6ka1 (encoding RSK1) as a fast-twitch myofiber-specific regulator essential for motor function and neuromuscular integrity. Mechanistically, RSK1 maintains fast-twitch fiber identity through mTORC1-dependent and -independent pathways. Notably, Rps6ka1 is consistently downregulated in muscle wasting conditions, and restoring its expression in a cancer cachexia mouse model ameliorates neuromuscular function, muscle mass loss, synaptic disruption and molecular cachexia signatures on a multi-omics level. This work establishes RSK1 as a key regulator of fast-twitch motor units in health and disease.
DOI: 10.15468/dl.tccqxc
title: Occurrence Download

description: A dataset containing 857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lateolabrax japonicus (Cuvier, 1828)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 857 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004619-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/znj4vhjs7h.1
title: Career and Job Engagement of National Service Persons

description: This data was obtained from national service persons (NSPs) in Ghana to examine the influence of organizational and personal resources on their career and job engagement. Using PLS-SEM procedures, it was established that job support (organizational resource) influences career planning, career engagement and career orientation. Career planning and career orientation (personal resources) influenced career engagement and job engagement. additionally, career engagement influenced job engagement and played a mediating role. An IPMA showed career engagement and job support as the two most important factors in the job engagement of NSPs, but the best performing factor was career orientation.
DOI: 10.17632/7fvgj4jsp7.1
title: BUS-UCLM: Breast ultrasound lesion segmentation dataset

description: The proposed dataset is comprised of breast ultrasound images from 38 patients. It consists of 683 images, of which 174 are benign, 90 are malignant, and 419 are normal. Scans were obtained with a Siemens ACUSON S2000TM Ultrasound System between 2022 and 2023. The ground truth is presented in separate files as RGB segmentation masks where green denotes benign lesions, red denotes malignant lesions, and black denotes the background or normal breast tissue. This dataset constitutes a valuable resource for research in breast cancer diagnosis, lesion detection, medical imaging, and health care applications. It facilitates researchers and practitioners to develop and examine machine learning models for the identification of benign and malignant lesions across full real cases. The segmentation annotations made by expert radiologists enable precise model training and evaluation, making this dataset a benefit in the field of computer vision and public health.
DOI: 10.17632/7fvgj4jsp7.2
title: BUS-UCLM: Breast ultrasound lesion segmentation dataset

description: The proposed dataset is comprised of breast ultrasound images from 38 patients. It consists of 683 images, of which 174 are benign, 90 are malignant, and 419 are normal. Scans were obtained with a Siemens ACUSON S2000TM Ultrasound System between 2022 and 2023. The ground truth is presented in separate files as RGB segmentation masks where green denotes benign lesions, red denotes malignant lesions, and black denotes the background or normal breast tissue. This dataset constitutes a valuable resource for research in breast cancer diagnosis, lesion detection, medical imaging, and health care applications. It facilitates researchers and practitioners to develop and examine machine learning models for the identification of benign and malignant lesions across full real cases. The segmentation annotations made by expert radiologists enable precise model training and evaluation, making this dataset a benefit in the field of computer vision and public health.
DOI: 10.5281/zenodo.8055449
title: PRECOM-SM Corpus

description: The PRECOM-SM Corpus is part of the PRECOM Project. PRECOM stands for "PREdicción de COMportamiento" ("Behavioral Prediction"), which is a project with the aim of early detection of gambling from social media writings. The SM part corresponds to "Social Media", as the sources of the compilation have been the online platforms Telegram, Twitch and Reddit.
DOI: 10.15468/dl.zkztnx
title: Occurrence Download

description: A dataset containing 50063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia L."
 ]
}

 The dataset includes 50063 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004620-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zzb7jyy8w8.1
title: SDFVD2.0: Extension of Small Scale Deep Fake Video Dataset

description: The SDFVD 2.0 is an augmented extension of the original SDFVD dataset, which originally contained 53 real and 53 fake videos. This new version has been created to enhance the diversity and robustness of the dataset by applying various augmentation techniques like horizontal flip, rotation, shear, brightness and contrast adjustment, additive gaussian noise, downscaling and upscaling to the original videos. These augmentations help simulate a wider range of conditions and variations, making the dataset more suitable for training and evaluating deep learning models for deepfake detection. This process has significantly expanded the dataset resulting in 461 real and 461 forged videos, providing a richer and more varied collection of video data for deepfake detection research and development. 
Dataset Structure
The dataset is organized into two main directories: real and fake, each containing the original and augmented videos. Each augmented video file is named following the pattern: 
‘__aug_.mp4’
where is either real or fake and ranges from 0 to 7 corresponding to the different augmentation techniques applied.
DOI: 10.15468/dl.6p53hm
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lates calcarifer (Bloch, 1790)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004621-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6wn5w
title: Occurrence Download

description: A dataset containing 192271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinca tinca (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 192271 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004613-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63p7x6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria kambanguensis R.Wilczek"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011933-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o6zw6r
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Japan",
 "HasCoordinate is true",
 "TaxonKey is Huperzia serrata (Thunb.) Trevis.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 128 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj9vv8
title: Occurrence Download

description: A dataset containing 98249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Country is Japan"
 ]
}

 The dataset includes 98249 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241466-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.