cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10565032
title: Model configuration and data used in "The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier"

description: This folder contains the output point data (*.csv) and namelist used in the paper: “The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier”

The modifications to the WRF-Hydro/Glacier model used in the paper can be found on GitHub:

https://github.com/tpletzer/wrf_hydro_nwm_coldglacier
DOI: 10.5517/ccdc.csd.cc2h8nct
title: CCDC 2302226: Experimental Crystal Structure Determination

description: Related Article: Zhipeng Lin, João C. A. Oliveira, Alexej Scheremetjew, Lutz Ackermann|2023|J.Am.Chem.Soc.|146|228|doi:10.1021/jacs.3c08479
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: 10.6084/m9.figshare.25058654.v2
title: case

description: Asynchronous observations collected in wildfire will bring errors when performing data assimilation. This method can extrapolate the asynchronous fire fronts to the same moment.
DOI: 10.6084/m9.figshare.25058654.v1
title: ETKF-centralized case data

description: Asynchronous observations collected in wildfire will bring errors when performing data assimilation. This method can extrapolate the asynchronous fire fronts to the same moment.
DOI: 10.6084/m9.figshare.25058654.v3
title: ETKF-centralized case

description: Asynchronous observations collected in wildfire will bring errors when performing data assimilation. This method can extrapolate the asynchronous fire fronts to the same moment.
DOI: 10.6084/m9.figshare.25058654
title: ETKF-centralized case

description: Asynchronous observations collected in wildfire will bring errors when performing data assimilation. This method can extrapolate the asynchronous fire fronts to the same moment.
DOI: 10.6084/m9.figshare.25058690
title: MMOTU dataset

description: The MMOTU dataset consists of ovarian ultrasound images collected from Beijing Shijitan Hospital, Capital Medical University. The dataset is divided into two subsets: OTU 2D and OTU CEUS. The OTU 2D subset contains ultrasound images.The OTU CEUS subset consists of 170 images extracted from CEUS sequences.The MMOTU ovarian tumor ultrasound dataset used in the paper titled "PMFFNet: A hybrid network based on feature pyramid for ovarian tumor segmentation" is stored here. If needed, you can download and access it yourself. The dataset we employed in our study is sourced from the MMOTU image dataset, which comprises ovarian ultrasound images collected from Beijing Shijitan Hospital, Capital Medical University.If you would like to access the original MMOTU dataset, please click on the following link: https://drive.google.com/drive/folders/1c5n0fVKrM9-SZE1kacTXPt1pt844iAs1
DOI: 10.34740/kaggle/dsv/7475335
title: FutureFlow: Navigating Tomorrow's Urban Traffic
DOI: 10.13026/6149-mb25
title: Annotation dataset of social determinants of health from MIMIC-III Clinical Care Database

description: Social determinants of health (SDoH) have an important impact on patient
outcomes but are incompletely collected from the electronic health records
(EHR). This study researched the ability of large language models to extract
SDoH from free text in EHRs, where they are most commonly documented, and
explored the role of synthetic clinical text for improving the extraction of
these scarcely documented, yet extremely valuable, clinical data. We developed
annotation guidelines for sentence-level annotation of SDoH that are not
reliably available as structured data in the EHR: employment, housing,
transportation, parental status, relationship, and social support. Sentences
were labeled for both the presence of an SDoH mention and the presence of an
adverse SDoH mention. After finalizing the annotation guidelines, two
annotators manually annotated a separate corpus, which cannot be released due
to PHI. A total of 300/800 (37.5%) of these notes underwent dual annotation.
Before adjudication, dually-annotated notes had a Krippendorf's alpha
agreement of 0.86 and Cohen's Kappa of 0.86 for any SDoH mention categories.
For adverse SDoH mentions, notes had a Krippendorf's alpha agreement of 0.76
and Cohen's Kappa of 0.76. As an external validation, 200 notes from MIMIC-III
written by physicians, social workers, and nurses were manually annotated by a
single annotator. Here, we release this manually annotated corpus of 200 MIMC-
III notes.
DOI: 10.13026/p8zc-cs44
title: Annotation dataset of social determinants of health from MIMIC-III Clinical Care Database

description: Social determinants of health (SDoH) have an important impact on patient
outcomes but are incompletely collected from the electronic health records
(EHR). This study researched the ability of large language models to extract
SDoH from free text in EHRs, where they are most commonly documented, and
explored the role of synthetic clinical text for improving the extraction of
these scarcely documented, yet extremely valuable, clinical data. We developed
annotation guidelines for sentence-level annotation of SDoH that are not
reliably available as structured data in the EHR: employment, housing,
transportation, parental status, relationship, and social support. Sentences
were labeled for both the presence of an SDoH mention and the presence of an
adverse SDoH mention. After finalizing the annotation guidelines, two
annotators manually annotated a separate corpus, which cannot be released due
to PHI. A total of 300/800 (37.5%) of these notes underwent dual annotation.
Before adjudication, dually-annotated notes had a Krippendorf's alpha
agreement of 0.86 and Cohen's Kappa of 0.86 for any SDoH mention categories.
For adverse SDoH mentions, notes had a Krippendorf's alpha agreement of 0.76
and Cohen's Kappa of 0.76. As an external validation, 200 notes from MIMIC-III
written by physicians, social workers, and nurses were manually annotated by a
single annotator. Here, we release this manually annotated corpus of 200 MIMC-
III notes.
DOI: 10.13026/zsgv-8w31
title: Annotation dataset of social determinants of health from MIMIC-III Clinical Care Database

description: Social determinants of health (SDoH) have an important impact on patient
outcomes but are incompletely collected from the electronic health records
(EHR). This study researched the ability of large language models to extract
SDoH from free text in EHRs, where they are most commonly documented, and
explored the role of synthetic clinical text for improving the extraction of
these scarcely documented, yet extremely valuable, clinical data. We developed
annotation guidelines for sentence-level annotation of SDoH that are not
reliably available as structured data in the EHR: employment, housing,
transportation, parental status, relationship, and social support. Sentences
were labeled for both the presence of an SDoH mention and the presence of an
adverse SDoH mention. After finalizing the annotation guidelines, two
annotators manually annotated a separate corpus, which cannot be released due
to PHI. A total of 300/800 (37.5%) of these notes underwent dual annotation.
Before adjudication, dually-annotated notes had a Krippendorf's alpha
agreement of 0.86 and Cohen's Kappa of 0.86 for any SDoH mention categories.
For adverse SDoH mentions, notes had a Krippendorf's alpha agreement of 0.76
and Cohen's Kappa of 0.76. As an external validation, 200 notes from MIMIC-III
written by physicians, social workers, and nurses were manually annotated by a
single annotator. Here, we release this manually annotated corpus of 200 MIMC-
III notes.
DOI: 10.5281/zenodo.10565698
title: replication-kuramoto2024emse

description: # Replication-Kuramoto2024EMSE

This repository contains the resources used in our EMSE project (details can be found in the paper).

 

## Overview

The package includes the following components:

 

- GithubIssues Dataset:

    The GithubIssues dataset consists of GitHub issues obtained from popular projects between 2017 and 2022.06. We selected 34 publicly available projects that have more than 10,000 closed issues since 2017. The data collection was performed using PyGitHub and GitHub API v3.

 

- Script:

    The get_attribute.py script is provided to retrieve metrics from the dataset. You have the flexibility to customize it according to your requirements. Please refer to the Requirements section below for information on the necessary libraries.

 

- Manual Coding Results:

    The results of our manual coding can be found in the manualCoding directory.

 

## GithubIssues Dataset Structure

The GithubIssues dataset has the following structure:

```

- GithubIssues/

    - Project/_issues.json/

        - issue#:

            - created_at // refers to the time at the issue creation.

            - closed_at // refers to the time at the issue closure.

            - user // includes the reporter info, we use "login" element.

            - body // refers to the issue description.

            - labels // includes issue tags info, we use "name" element.

            - images // refers to the number of images in the issue description.

            - videos // refers to the number of videos in the issue description.

            - ...

            - comments_dict:

                - comment#:

                    - created_at // refers to the time at the comment.

                    - user // includes the commenter info, we use "login" element.

                    - body // refers to the comment description.

                - ...

        - ...

    - ...

```

More metadata info can be found in https://pygithub.readthedocs.io/en/latest/.

 

## Requirements

Our replication package make use of the list of bots (i.e., groundtruthbots.csv) available at https://github.com/mehdigolzadeh/IdentifyBots_ReplicationPackage.

Please download the file and place it directly under clone with the name groundtruthbots.csv.

 

To run the get_attribute.py script and work with the GithubIssues dataset, the following libraries are required:

 

- git-lfs (Note: This library is required before downloading this repository.)

- fasttext

- markdown

- py_gfm

- nltk

 

Please ensure that these libraries are installed in your Python environment before running the script.

 

For more detailed information on the project and its findings, please refer to the paper.
DOI: 10.5281/zenodo.10565699
title: replication-kuramoto2024emse

description: # Replication-Kuramoto2024EMSE

This repository contains the resources used in our EMSE project (details can be found in the paper).

 

## Overview

The package includes the following components:

 

- GithubIssues Dataset:

    The GithubIssues dataset consists of GitHub issues obtained from popular projects between 2017 and 2022.06. We selected 34 publicly available projects that have more than 10,000 closed issues since 2017. The data collection was performed using PyGitHub and GitHub API v3.

 

- Script:

    The get_attribute.py script is provided to retrieve metrics from the dataset. You have the flexibility to customize it according to your requirements. Please refer to the Requirements section below for information on the necessary libraries.

 

- Manual Coding Results:

    The results of our manual coding can be found in the manualCoding directory.

 

## GithubIssues Dataset Structure

The GithubIssues dataset has the following structure:

```

- GithubIssues/

    - Project/_issues.json/

        - issue#:

            - created_at // refers to the time at the issue creation.

            - closed_at // refers to the time at the issue closure.

            - user // includes the reporter info, we use "login" element.

            - body // refers to the issue description.

            - labels // includes issue tags info, we use "name" element.

            - images // refers to the number of images in the issue description.

            - videos // refers to the number of videos in the issue description.

            - ...

            - comments_dict:

                - comment#:

                    - created_at // refers to the time at the comment.

                    - user // includes the commenter info, we use "login" element.

                    - body // refers to the comment description.

                - ...

        - ...

    - ...

```

More metadata info can be found in https://pygithub.readthedocs.io/en/latest/.

 

## Requirements

Our replication package make use of the list of bots (i.e., groundtruthbots.csv) available at https://github.com/mehdigolzadeh/IdentifyBots_ReplicationPackage.

Please download the file and place it directly under clone with the name groundtruthbots.csv.

 

To run the get_attribute.py script and work with the GithubIssues dataset, the following libraries are required:

 

- git-lfs (Note: This library is required before downloading this repository.)

- fasttext

- markdown

- py_gfm

- nltk

 

Please ensure that these libraries are installed in your Python environment before running the script.

 

For more detailed information on the project and its findings, please refer to the paper.
DOI: 10.5281/zenodo.10565702
title: Observation of vortex-string chiral modes in metamaterials - source data

description: This is the experimental source data of the results published in "Observation of vortex-string chiral modes in metamaterials". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information.
DOI: 10.5281/zenodo.10565703
title: Observation of vortex-string chiral modes in metamaterials - source data

description: This is the experimental source data of the results published in "Observation of vortex-string chiral modes in metamaterials". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information.
DOI: 10.5281/zenodo.10565708
title: The influencing factors of anxiety and depression related to cervical lesions during pregnancy
DOI: 10.5281/zenodo.10565709
title: The influencing factors of anxiety and depression related to cervical lesions during pregnancy
DOI: 10.25946/24718257
title: My Research Data Management Plan-Diakite Mory

description: Primary and secondary data were collected from both participants and the case study site to populate the research with context-specific and nuanced information. The field survey reflects the responses of 511 participants from mining-affected community groups and government officials across the study scope region. The survey was conducted using interview questions and survey questionnaires, and a total of 411 interviews and 100 surveys were held in person. Fieldwork was completed between November 2016 and August 2017.
DOI: 10.25946/24718257.v1
title: My Research Data Management Plan-Diakite Mory

description: Primary and secondary data were collected from both participants and the case study site to populate the research with context-specific and nuanced information. The field survey reflects the responses of 511 participants from mining-affected community groups and government officials across the study scope region. The survey was conducted using interview questions and survey questionnaires, and a total of 411 interviews and 100 surveys were held in person. Fieldwork was completed between November 2016 and August 2017.
DOI: 10.6084/m9.figshare.25059092
title: An evaluation of the effect of childbirth education on self-efficacy and birth experience

description: A study assessing the effect of an internet based childbirth education course on childbirth self-efficacy and birth related posttraumatic stress disorder (PTSD) symptoms.
DOI: 10.6084/m9.figshare.25059092.v1
title: An evaluation of the effect of childbirth education on self-efficacy and birth experience

description: A study assessing the effect of an internet based childbirth education course on childbirth self-efficacy and birth related posttraumatic stress disorder (PTSD) symptoms.
DOI: 10.5519/qd.pslsq04o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25946/24779958
title: The Role of High Performance Work Systems and Guanxi: the case of the Chinese Construction Industry

description: Employees are regarded as a source of competitive advantage, and high performance work systems (HPWS) can contribute to sustaining or improving this advantage. However, the concept of HPWS originated in western organisations and academic literature. The applicability of HPWS in non-Western contexts remains underexplored.

While human resources management (HRM) practices are generally understood to be culturally sensitive, HPWS research tends to neglect cultural factors such as Guanxi, a feature of Chinese culture which is still pervasive in Chinese workplaces. This mixed-method case study examines HPWS and Supervisor-Subordinate Guanxi (SSG) in the Chinese construction industry. It explores the relationship between HPWS, SSG, employee voice and employee performance.

This study was conducted in two stages. First, a qualitative study explored employees’ perceptions of HPWS and SSG. Interviews were conducted across four organisations, and the resulting data were subjected to thematic analysis. In the second stage, employees and supervisors were surveyed to test the relationships between SSG, perceived HPWS, employee voice and performance. Hypothesis testing was conducted using structural equation modelling with AMOS 26. It was found that SSG positively predicts perceived HPWS, promotive voice and employee performance. Specifically, perceived HPWS mediates the relationship between SSG and prohibitive voice but does not mediate the link between SSG and promotive voice. Moreover, employee voice, both promotive and prohibitive, significantly affects employee performance. 

This research contributes to theory by expanding the body of knowledge on HPWS, primarily by incorporating cultural context considerations on the role of Guanxi and promotive and prohibitive employee voice. In the Chinese construction industry, the Chinese culture in the form of SSG influences the operation of HPWS and employee performance. This research also contributes to practice by demonstrating that western HRM practices such as HPWS can operate in conjunction with traditional values to contribute to employee performance in Chinese organisations.
DOI: 10.25946/24779958.v1
title: The Role of High Performance Work Systems and Guanxi: the case of the Chinese Construction Industry

description: Employees are regarded as a source of competitive advantage, and high performance work systems (HPWS) can contribute to sustaining or improving this advantage. However, the concept of HPWS originated in western organisations and academic literature. The applicability of HPWS in non-Western contexts remains underexplored.

While human resources management (HRM) practices are generally understood to be culturally sensitive, HPWS research tends to neglect cultural factors such as Guanxi, a feature of Chinese culture which is still pervasive in Chinese workplaces. This mixed-method case study examines HPWS and Supervisor-Subordinate Guanxi (SSG) in the Chinese construction industry. It explores the relationship between HPWS, SSG, employee voice and employee performance.

This study was conducted in two stages. First, a qualitative study explored employees’ perceptions of HPWS and SSG. Interviews were conducted across four organisations, and the resulting data were subjected to thematic analysis. In the second stage, employees and supervisors were surveyed to test the relationships between SSG, perceived HPWS, employee voice and performance. Hypothesis testing was conducted using structural equation modelling with AMOS 26. It was found that SSG positively predicts perceived HPWS, promotive voice and employee performance. Specifically, perceived HPWS mediates the relationship between SSG and prohibitive voice but does not mediate the link between SSG and promotive voice. Moreover, employee voice, both promotive and prohibitive, significantly affects employee performance. 

This research contributes to theory by expanding the body of knowledge on HPWS, primarily by incorporating cultural context considerations on the role of Guanxi and promotive and prohibitive employee voice. In the Chinese construction industry, the Chinese culture in the form of SSG influences the operation of HPWS and employee performance. This research also contributes to practice by demonstrating that western HRM practices such as HPWS can operate in conjunction with traditional values to contribute to employee performance in Chinese organisations.
DOI: 10.5281/zenodo.10146088
title: Dynamic behaviour restructuring mediates dopamine-dependent credit assignment

description: Source Data for Nature manuscript: Dynamic behaviour restructuring mediates dopamine-dependent credit assignment
DOI: 10.5281/zenodo.10146089
title: Dynamic behaviour restructuring mediates dopamine-dependent credit assignment

description: Source Data for Nature manuscript: Dynamic behaviour restructuring mediates dopamine-dependent credit assignment
DOI: 10.6084/m9.figshare.25059480
title: Additional file 1 of Colony level fitness analysis identifies a trade-off between population growth rate and dauer yield in Caenorhabditis elegans

description: Additional file 1. Supplemental Dataset 1. Raw data corresponding to parts of Figures 2 and 3.
DOI: 10.6084/m9.figshare.25059480.v1
title: Additional file 1 of Colony level fitness analysis identifies a trade-off between population growth rate and dauer yield in Caenorhabditis elegans

description: Additional file 1. Supplemental Dataset 1. Raw data corresponding to parts of Figures 2 and 3.
DOI: 10.6084/m9.figshare.25059560
title: Relative importance of affordable housing CSCs for various beneficiary groups

description: The purpose of the data is to explore the relative importance given to various affordable housing CSC by different beneficiary groups.- An Indian (Gujarat) Case-study
DOI: 10.6084/m9.figshare.25059560.v1
title: Relative importance of affordable housing CSCs for various beneficiary groups

description: The purpose of the data is to explore the relative importance given to various affordable housing CSC by different beneficiary groups.- An Indian (Gujarat) Case-study
DOI: 10.6084/m9.figshare.25059634.v1
title: Supplementary Table 6: from The source of microbial transmission influences niche colonization and microbiome development

description: Indicator analysis adult_gravity stages
DOI: 10.6084/m9.figshare.25059634
title: Supplementary Table 6: from The source of microbial transmission influences niche colonization and microbiome development

description: Indicator analysis adult_gravity stages
DOI: 10.6084/m9.figshare.25059643
title: Supplementary Table 2: from The source of microbial transmission influences niche colonization and microbiome development

description: alpha diversity indices adult, ASV level
DOI: 10.6084/m9.figshare.25059652
title: Supplementary Table 8: from The source of microbial transmission influences niche colonization and microbiome development

description: alpha diversity indices juvenile development, genera level
DOI: 10.6084/m9.figshare.25059661.v1
title: Supplementary Table 4. from The source of microbial transmission influences niche colonization and microbiome development

description: β-diversity vertical adult, ASV level
DOI: 10.6084/m9.figshare.25059667.v1
title: Supplementary Table 13: from The source of microbial transmission influences niche colonization and microbiome development

description: Indicator analysis juvenile development; timepoints
DOI: 10.6084/m9.figshare.25059643.v1
title: Supplementary Table 2: from The source of microbial transmission influences niche colonization and microbiome development

description: alpha diversity indices adult, ASV level