cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28740134.v2
title: <b>Gender Differences in Personality Traits and Mental Health Challenges of Early-Career Doctoral Faculty Members</b>

description: This study explores the relationship between personality traits and mental health among early-career doctoral faculty members in China, with an emphasis on gender-specific patterns. Aiming to address a gap in academic mental health research, particularly within the context of faculty psychological well-being, the study examines how distinct personality profiles may relate to mental health outcomes differently for men and women. Participants were drawn from universities in southwestern China and completed two standardized assessments: the Symptom Checklist-90 (SCL-90), which evaluates a broad range of psychological symptoms, and the Sixteen Personality Factor Questionnaire (16PF), which measures a comprehensive spectrum of personality traits. Statistical methods, including norm-referenced comparisons, gender-stratified analyses, and canonical correlation analysis, were used to assess the interplay between personality and mental health. Results indicated notable gender-based differences in both personality profiles and psychological symptom patterns, underscoring the need for more personalized, gender-responsive approaches to mental health support in academia. The accompanying dataset comprises anonymized, item-level responses from both psychological instruments, along with relevant demographic information such as gender and academic discipline. It allows for detailed secondary analyses of the psychological landscape of early-career faculty members, supports research on individual differences in mental health risk, and serves as a resource for developing targeted prevention and intervention strategies informed by personality. This dataset offers a rich foundation for future longitudinal and cross-cultural studies examining the dynamic interrelations between personality structure and psychological well-being in academic professionals.
DOI: 10.6084/m9.figshare.28740134.v1
title: <b>Gender Differences in Personality Traits and Mental Health Challenges of Early-Career Doctoral Faculty Members</b>

description: This study explores the relationship between personality traits and mental health among early-career doctoral faculty members in China, with an emphasis on gender-specific patterns. Aiming to address a gap in academic mental health research, particularly within the context of faculty psychological well-being, the study examines how distinct personality profiles may relate to mental health outcomes differently for men and women. Participants were drawn from universities in southwestern China and completed two standardized assessments: the Symptom Checklist-90 (SCL-90), which evaluates a broad range of psychological symptoms, and the Sixteen Personality Factor Questionnaire (16PF), which measures a comprehensive spectrum of personality traits. Statistical methods, including norm-referenced comparisons, gender-stratified analyses, and canonical correlation analysis, were used to assess the interplay between personality and mental health. Results indicated notable gender-based differences in both personality profiles and psychological symptom patterns, underscoring the need for more personalized, gender-responsive approaches to mental health support in academia. The accompanying dataset comprises anonymized, item-level responses from both psychological instruments, along with relevant demographic information such as gender and academic discipline. It allows for detailed secondary analyses of the psychological landscape of early-career faculty members, supports research on individual differences in mental health risk, and serves as a resource for developing targeted prevention and intervention strategies informed by personality. This dataset offers a rich foundation for future longitudinal and cross-cultural studies examining the dynamic interrelations between personality structure and psychological well-being in academic professionals.
DOI: 10.15468/dl.tk3fnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Myosorex sclateri Thomas & Schwann, 1905",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028893-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.12603757
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation data for India. The dataset contains 30 ensembles every day for the period of 1991 to 2020 at 0.1°.
DOI: 10.5281/zenodo.13739337
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation data for India. The dataset contains the mean and standard deviation of the 30 ensembles every day from 1991 to 2020 at 0.1° resolution.
DOI: 10.5281/zenodo.14934690
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation data for India. The dataset contains the mean and standard deviation of the 30 ensembles every day from 1991 to 2023 at 0.1° resolution.
DOI: 10.5281/zenodo.14935780
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation data for India. The dataset contains the mean and standard deviation of the 30 ensembles every day from 1991 to 2023 at 0.1° resolution. 

The dataset contains two folders:



IPED Ensemble's Standard Deviation

IPED Ensemble's Mean
DOI: 10.5281/zenodo.14954964
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation dataset for India. It includes the mean and standard deviation of 30 ensembles daily from 1991 to 2023 at a resolution of 0.1°.

The dataset contains two folders:



IPED Ensemble's Mean

IPED Ensemble's Standard Deviation


For detailed information about this dataset and its development, please refer to the original research article published in the Scientific Data:

Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Disclaimer

When using the IPED dataset, users must cite it along with the associated research article published in "Scientific Data". 

To Be Cited:



Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Anagha P, & Manabendra Saharia. (2025). Indian Precipitation Ensemble Dataset (IPED) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8199138
DOI: 10.5281/zenodo.15618220
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation dataset for India. It includes the mean and standard deviation of 30 ensembles daily from 1991 to 2023 at a resolution of 0.1°.

The dataset contains two folders:



IPED Ensemble's Mean

IPED Ensemble's Standard Deviation


For detailed information about this dataset and its development, please refer to the original research article published in the Scientific Data:

Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Disclaimer

When using the IPED dataset, users must cite it along with the associated research article published in "Scientific Data". 

To Be Cited:



Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Anagha P, & Manabendra Saharia. (2025). Indian Precipitation Ensemble Dataset (IPED) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8199138
DOI: 10.5281/zenodo.8199138
title: Indian Precipitation Ensemble Dataset (IPED)

description: The Indian Precipitation Ensemble Dataset (IPED) is the first observation-based ensemble gridded precipitation dataset for India. It includes the mean and standard deviation of 30 ensembles daily from 1991 to 2023 at a resolution of 0.1°.

The dataset contains two folders:



IPED Ensemble's Mean

IPED Ensemble's Standard Deviation


For detailed information about this dataset and its development, please refer to the original research article published in the Scientific Data:

Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Disclaimer

When using the IPED dataset, users must cite it along with the associated research article published in "Scientific Data". 

To Be Cited:



Peringiyil, A., Saharia, M., O. P., S. et al. A station-based 0.1-degree daily gridded ensemble precipitation dataset for India. Sci Data 12, 333 (2025). https://doi.org/10.1038/s41597-025-04474-2

Anagha P, & Manabendra Saharia. (2025). Indian Precipitation Ensemble Dataset (IPED) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8199138
DOI: 10.5281/zenodo.8199139
title: Indian Meteorological Ensemble Dataset (IMED)

description: The Indian Meteorological Ensemble Dataset (IMED) is the first observation-based ensemble gridded precipitation data for India. The dataset contains 30 ensembles every day for the period of 1991 to 2020 at 0.25°.
DOI: 10.5281/zenodo.15618357
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608j Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15618358
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608j Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.7gp2dh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Myosorex tenuis Thomas & Schwann, 1905",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028894-250525065834625/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12096108
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.9bjrhg
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Myosorex varius (Smuts, 1832)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 209 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028895-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpsbb5
title: Occurrence Download

description: A dataset containing 5723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Arcellinida"
 ]
}

 The dataset includes 5723 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028896-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15426790
title: The effect of sampling protocol on spatial patterns in marine bivalve diversity along the eastern coast of India

description: This dataset was used as raw data for the manuscript. The manuscript is currently under revision.
DOI: 10.5281/zenodo.15426791
title: The effect of sampling protocol on spatial patterns in marine bivalve diversity along the eastern coast of India

description: This dataset was used as raw data for the manuscript. The manuscript is currently under revision.
DOI: 10.15468/dl.vc68uy
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Myosorex zinki Heim de Balsac & Lamotte, 1956",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028897-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhjjj3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Paracrocidura graueri Hutterer, 1986",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028898-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15618377
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608j Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608j Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15618378
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250608j Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250608j Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.s46swh
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Paracrocidura maxima Heim de Balsac, 1959",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028899-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13947723
title: LanguageStructure/Etnobotanica-Bororo: Versão inicial

description: Versão inicial para construção do aplicativo web.
DOI: 10.5281/zenodo.14024990
title: Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring

description: This dataset accompanies the study "Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring." It provides resources supporting a novel approach to plant biomass measurement using smartphone-based 3D scanning. The following materials are included:





Scaniverse.zip: Raw 3D scan data obtained using the Scaniverse app on an iPhone 15 Pro. These unprocessed scans represent the initial point cloud data as captured in the field.




Scaniverse_clipped.zip: Preprocessed datasets where the raw point clouds have been clipped to the extent of the vegetation, removing extraneous elements using CloudCompare's clipping tools. This ensures a focus on the relevant plant data for subsequent analyses.




Point2Voxel.ipynb: A Jupyter Notebook automating the transformation of preprocessed point clouds into a voxel-based representation. This pipeline includes volume calculation and other analyses. Additionally, a "Colab-ready" version of the notebook is provided to facilitate accessible execution and adaptation of the workflow.



These materials, processed and documented under a CC BY 4.0 license, aim to foster reproducibility and wider adoption of smartphone-based 3D scanning in ecological research, enabling non-destructive, cost-effective, and high-resolution monitoring of vegetation structure and biomass.
DOI: 10.5281/zenodo.14024991
title: Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring

description: This dataset accompanies the study "Advancing Plant Biomass Measurements: Integrating Smartphone-based 3D Scanning Techniques for Enhanced Ecosystem Monitoring." It provides resources supporting a novel approach to plant biomass measurement using smartphone-based 3D scanning. The following materials are included:





Scaniverse.zip: Raw 3D scan data obtained using the Scaniverse app on an iPhone 15 Pro. These unprocessed scans represent the initial point cloud data as captured in the field.




Scaniverse_clipped.zip: Preprocessed datasets where the raw point clouds have been clipped to the extent of the vegetation, removing extraneous elements using CloudCompare's clipping tools. This ensures a focus on the relevant plant data for subsequent analyses.




Point2Voxel.ipynb: A Jupyter Notebook automating the transformation of preprocessed point clouds into a voxel-based representation. This pipeline includes volume calculation and other analyses. Additionally, a "Colab-ready" version of the notebook is provided to facilitate accessible execution and adaptation of the workflow.



These materials, processed and documented under a CC BY 4.0 license, aim to foster reproducibility and wider adoption of smartphone-based 3D scanning in ecological research, enabling non-destructive, cost-effective, and high-resolution monitoring of vegetation structure and biomass.
DOI: 10.15468/dl.39xz2k
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Paracrocidura schoutedeni Heim de Balsac, 1956",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 511 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028900-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vxanx
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Paraechinus aethiopicus (Ehrenberg, 1832)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028901-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxj26z
title: Occurrence Download

description: A dataset containing 33607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.8788 43.21698,-1.92297 43.17209,-2.13205 43.27474,-2.22712 43.11461,-2.37856 43.12723,-2.53074 43.05194,-2.60099 43.17939,-2.74961 43.18273,-2.79952 43.07027,-2.93855 43.14498,-3.10876 43.14348,-3.14558 43.00749,-2.8833 42.90226,-2.61807 42.92215,-2.42748 42.85703,-2.38236 42.74861,-2.13454 42.65782,-1.70256 42.61134,-1.51702 42.41318,-1.42803 42.42516,-1.23044 42.27169,-1.09761 42.32512,-1.02854 42.18944,-0.98039 42.26609,-0.76192 42.23133,-0.68697 42.36289,-0.43693 42.28463,-0.26487 42.23078,-0.07923 42.09024,-0.01835 42.09864,0.10763 42.11603,0.32014 42.04721,0.25753 41.95252,0.46597 41.93325,0.55233 41.84874,0.92705 41.83068,1.16321 41.78141,1.38506 41.92663,1.49872 41.90322,1.50272 41.78759,1.66379 41.9624,1.8865 41.93704,2.29332 42.04903,2.36627 41.97694,2.59653 42.04045,2.66636 42.17585,2.77116 42.18961,2.71366 42.29479,2.87118 42.28243,2.95133 42.35573,3.17413 42.35414,3.13204 42.51715,3.04449 42.59343,2.86297 42.4889,2.8269 42.59451,2.68611 42.59722,2.63453 42.705,2.79576 42.81969,2.89804 43.02051,2.78432 43.12425,2.6162 43.1458,2.33922 43.13388,2.2125 43.12843,1.94889 43.0817,1.98788 42.95285,1.82769 42.95535,1.83593 43.06023,1.53306 43.0595,1.30468 43.1955,1.2228 43.08601,0.97538 43.17967,0.90558 43.10461,0.51593 43.21227,0.08094 43.12543,-0.01931 43.16317,-0.17646 43.11161,-0.25115 43.17044,-0.46802 43.16668,-0.59041 43.28188,-0.76488 43.26057,-1.20722 43.29614,-1.27432 43.44627,-1.51717 43.30789,-1.84888 43.32486,-1.8788 43.21698))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (ada19a05-4216-44c7-aa4f-6e7177bcb0ac, 7b4f2f30-a456-11d9-8049-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, e2e717bf-551a-4917-bdc9-4fa0f342c530, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, da86174a-a605-43a4-a5e8-53d484152cd3, 823818f6-0696-4e29-bc4c-b6f3817535a7, 2d1fabab-9504-4cd8-aa19-79627dd3b010)",
 "Year is greater than or equal to 2025"
 ]
}

 The dataset includes 33607 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028902-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12096174
title: Forex Exchange Rates Since 2004 (Updated Daily)