cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sd9kmcrxx4.2
title: Mathematics at the Core: Longitudinal Network Analysis of Executive Functions and Academic Performance in Chinese Children

description: After excluding individuals who failed to complete all assessments, the final valid sample at time-point 1 (T1) comprised 863 students (436 boys, 427 girls) aged 9–13 years (M = 10.43, SD = 1.19). The grade-specific breakdown at T1 was as follows: grade 3: 282 students (148 boys, 134 girls), M = 9.21 years (SD = 0.52); grade 4: 293 students (145 boys, 148 girls), M = 10.33 years (SD = 0.63); grade 5: 288 students (143 boys, 145 girls), M = 11.74 years (SD = 0.64). Six months later at time-point 2 (T2), 788 participants were successfully retested (393 boys, 395 girls), M = 10.93 years (SD = 1.18).
DOI: 10.17632/yyjczm4pwg
title: Enterprise Annuity Purchasing Decisions in China: A Structural Equation Modeling Analysis of Determinants

description: The empirical analysis of the paper 《Enterprise Annuity Purchasing Decisions in China: A Structural Equation Modeling Analysis of Determinants》 is based on cross-sectional survey data. Collected in February 2025, the data were obtained through an online questionnaire survey conducted among formally employed workers from most provinces in China, with a total of 394 valid questionnaires retrieved. The survey adopted a 7-point Likert scale to measure core constructs including occupational context, individual attributes, family background, socio-institutional drivers, and corporate annuity purchase decisions. The dataset is provided in Microsoft Excel format.
DOI: 10.17632/yyjczm4pwg.1
title: Enterprise Annuity Purchasing Decisions in China: A Structural Equation Modeling Analysis of Determinants

description: The empirical analysis of the paper 《Enterprise Annuity Purchasing Decisions in China: A Structural Equation Modeling Analysis of Determinants》 is based on cross-sectional survey data. Collected in February 2025, the data were obtained through an online questionnaire survey conducted among formally employed workers from most provinces in China, with a total of 394 valid questionnaires retrieved. The survey adopted a 7-point Likert scale to measure core constructs including occupational context, individual attributes, family background, socio-institutional drivers, and corporate annuity purchase decisions. The dataset is provided in Microsoft Excel format.
DOI: 10.17632/w8tpwwwjt4.1
title: Strengthening Protection, Weakening Jobs? The Social Insurance Law and Firm Employment Decisions in China

description: This replication package provides all the code, and instructions required to reproduce the main empirical results of the above-mentioned research paper.
DOI: 10.17632/9r73y2rmyp
title: Raw Data for Physiological and Metabolic Responses of Wild Tomatoes to Combined Drought and Salinity Stress

description: This dataset contains raw physiological, biochemical, and metabolic measurements from an experiment evaluating the responses of tomato (Solanum lycopersicum) and two wild relatives, Solanum habrochaites LA1223 and Solanum galapagense LA1403, to drought, salinity, and combined drought–salinity stress. The dataset includes measurements of plant growth and biomass, pigment content, gas-exchange parameters, and dynamic photosynthetic responses. It also provides raw values for primary metabolites, amino acids, polyamines, and phytohormones obtained from leaf and root tissues. These variables were recorded to characterize differences in osmotic adjustment, nitrogen metabolism, and stress-related signaling among genotypes. All data are presented at the individual-plant level. This dataset supports comparative analyses of physiological and molecular stress responses in cultivated and wild tomato species and enables reuse for meta-analyses, trait mining, and further studies on abiotic stress tolerance.
DOI: 10.17632/9r73y2rmyp.1
title: Raw Data for Physiological and Metabolic Responses of Wild Tomatoes to Combined Drought and Salinity Stress

description: This dataset contains raw physiological, biochemical, and metabolic measurements from an experiment evaluating the responses of tomato (Solanum lycopersicum) and two wild relatives, Solanum habrochaites LA1223 and Solanum galapagense LA1403, to drought, salinity, and combined drought–salinity stress. The dataset includes measurements of plant growth and biomass, pigment content, gas-exchange parameters, and dynamic photosynthetic responses. It also provides raw values for primary metabolites, amino acids, polyamines, and phytohormones obtained from leaf and root tissues. These variables were recorded to characterize differences in osmotic adjustment, nitrogen metabolism, and stress-related signaling among genotypes. All data are presented at the individual-plant level. This dataset supports comparative analyses of physiological and molecular stress responses in cultivated and wild tomato species and enables reuse for meta-analyses, trait mining, and further studies on abiotic stress tolerance.
DOI: 10.17632/pdzcx2zyt8
title: Mapping glocalized

description: For research article
DOI: 10.17632/pdzcx2zyt8.1
title: Mapping glocalized

description: For research article
DOI: 10.17632/s384w7kv78
title: Gleeson 2019 Automatic Gleason grading of prostate cancer in digital histopathology

description: These files are an Archive of the "Gleason 2019 Challenge". Please cite the original sources material and literature for the purpose of publication, and please use the original source download if/while it remains online.
Original Source: https://gleason2019.grand-challenge.org/Home/

Data used in this challenge consists of a set of tissue micro-array (TMA) images. Each TMA image is annotated in detail by several expert pathologists.

References

If you use this dataset, please cite the following:

Nir G, Hor S, Karimi D, Fazli L, Skinnider BF, Tavassoli P, Turbin D, Villamil CF, Wang G, Wilson RS, Iczkowski KA. Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. Medical image analysis. 2018 Dec 1;50:167-80.

Karimi D, Nir G, Fazli L, Black PC, Goldenberg L, Salcudean SE. Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation. IEEE journal of biomedical and health informatics. 2019 Sep 30;24(5):1413-26.
DOI: 10.17632/s384w7kv78.1
title: Gleeson 2019 Automatic Gleason grading of prostate cancer in digital histopathology

description: These files are an Archive of the "Gleason 2019 Challenge". Please cite the original sources material and literature for the purpose of publication, and please use the original source download if/while it remains online.
Original Source: https://gleason2019.grand-challenge.org/Home/

Data used in this challenge consists of a set of tissue micro-array (TMA) images. Each TMA image is annotated in detail by several expert pathologists.

References

If you use this dataset, please cite the following:

Nir G, Hor S, Karimi D, Fazli L, Skinnider BF, Tavassoli P, Turbin D, Villamil CF, Wang G, Wilson RS, Iczkowski KA. Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. Medical image analysis. 2018 Dec 1;50:167-80.

Karimi D, Nir G, Fazli L, Black PC, Goldenberg L, Salcudean SE. Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation. IEEE journal of biomedical and health informatics. 2019 Sep 30;24(5):1413-26.
DOI: 10.17632/jwkgr5xkn4
title: Kinetically controlled hetero-fusion is a systems-level behaviour of polymer nanoparticle populations

description: Supplementary Data for 'Kinetically controlled hetero-fusion is a systems-level behaviour of polymer nanoparticle populations'
DOI: 10.17632/jwkgr5xkn4.1
title: Kinetically controlled hetero-fusion is a systems-level behaviour of polymer nanoparticle populations

description: Supplementary Data for 'Kinetically controlled hetero-fusion is a systems-level behaviour of polymer nanoparticle populations'
DOI: 10.17632/tsnn66yv8j
title: Replication Files for the Monopoly Project

description: This package provides the data and code required to replicate the results in Cai, Liu, and Xiong (2025), “Reexamining the Effects of FinTech on Household Consumption: A Perspective on Monopoly Alleviation.”
DOI: 10.17632/tsnn66yv8j.1
title: Replication Files for the Monopoly Project

description: This package provides the data and code required to replicate the results in Cai, Liu, and Xiong (2025), “Reexamining the Effects of FinTech on Household Consumption: A Perspective on Monopoly Alleviation.”
DOI: 10.17632/77jmzhcssr.4
title: Replication Folder for "Impact of pension insurance and health insurance on pension savings: Evidence from China"

description: This replication folder contains the necessary codes to replicate the quantitative results of the paper.
DOI: 10.15468/dl.79hsqk
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Synsepalum dulcificum"
 ]
}

 The dataset includes 267 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009816-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4bxhwhcy7v
title: Dataset project CLEANERGY (PID2021-123351OB-I00)

description: Dataset for project Development of a oxy-fuel powerplant with carbon capture for clean energy production (CLEANERGY, PID2021-123351OB-I00) funded by Agencia Estatal de Investigación (Spain, MICIU/AEI/10.13039/501100011033/) and ERDF-A way of making Europe.
DOI: 10.17632/4bxhwhcy7v.1
title: Dataset project CLEANERGY (PID2021-123351OB-I00)

description: Dataset for project Development of a oxy-fuel powerplant with carbon capture for clean energy production (CLEANERGY, PID2021-123351OB-I00) funded by Agencia Estatal de Investigación (Spain, MICIU/AEI/10.13039/501100011033/) and ERDF-A way of making Europe.
DOI: 10.17632/sdz48p9j5m
title: Laser ablation of CFRP with copper- and calcium-hydroxyapatites dataset

description: This is the data of the laser ablation experiments performed on carbon fiber reinforced plastics (CFRP). Several percentages of copper- and calcium-hydroxyapatites were added into epoxy resin and laser ablation efficiencies were compared for these samples.
DOI: 10.17632/sdz48p9j5m.1
title: Laser ablation of CFRP with copper- and calcium-hydroxyapatites dataset

description: This is the data of the laser ablation experiments performed on carbon fiber reinforced plastics (CFRP). Several percentages of copper- and calcium-hydroxyapatites were added into epoxy resin and laser ablation efficiencies were compared for these samples.
DOI: 10.17632/mdj84btpsf
title: Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks

description: Data from a laboratory experiment, in which participants had to complete an investment task in which one option in each decision may offer a higher expected return but carries an explicit probability that selected financial information (income, wealth, debt, and related indicators) could be revealed to peers, while the alternative option is privacy‐safe.
DOI: 10.17632/mdj84btpsf.1
title: Trading Returns for Privacy: Experimental Evidence from Financial Data Leaks

description: Data from a laboratory experiment, in which participants had to complete an investment task in which one option in each decision may offer a higher expected return but carries an explicit probability that selected financial information (income, wealth, debt, and related indicators) could be revealed to peers, while the alternative option is privacy‐safe.
DOI: 10.17632/kpg5yz77gj
title: Detection of Pneumonia Disease using Chest Radiograph Image Dataset

description: The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification. This dataset contains 504 primary chest X-ray images collected from various pathology labs of the Bhopal area into two classes:
(1) Normal: 204 images
(2) Pneumonia: 300 images
--------------------------------------------
Image Description
Format: JPEG / PNG
Modality: Chest X-ray (CXR)
Color: Grayscale
Status: Primary dataset (raw and unprocessed)
-----------------------------------------------
Applications:
• Binary classification for Pneumonia vs. Normal chest X-ray
• Train Deep learning models to automate diagnosis
• Develop a mechanism for Computer-aided diagnosis (CAD)
• Medical image processing, academic research
----------------------------------------------------------
Category:
Artificial Intelligence, Deep Learning, Computer Vision, Clustering, Image processing, CNN, Classification, Medical Imaging, Pneumonia, Chest X-ray
DOI: 10.17632/kpg5yz77gj.1
title: Detection of Pneumonia Disease using Chest Radiograph Image Dataset

description: The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification. This dataset contains 504 primary chest X-ray images collected from various pathology labs of the Bhopal area into two classes:
(1) Normal: 204 images
(2) Pneumonia: 300 images
--------------------------------------------
Image Description
Format: JPEG / PNG
Modality: Chest X-ray (CXR)
Color: Grayscale
Status: Primary dataset (raw and unprocessed)
-----------------------------------------------
Applications:
• Binary classification for Pneumonia vs. Normal chest X-ray
• Train Deep learning models to automate diagnosis
• Develop a mechanism for Computer-aided diagnosis (CAD)
• Medical image processing, academic research
----------------------------------------------------------
Category:
Artificial Intelligence, Deep Learning, Computer Vision, Clustering, Image processing, CNN, Classification, Medical Imaging, Pneumonia, Chest X-ray
DOI: 10.17632/y5w9h9mh3k
title: Dataset of the Randomized Controlled Trial on a Mindfulness and Self-Compassion Online Intervention in University Students
DOI: 10.17632/y5w9h9mh3k.1
title: Dataset of the Randomized Controlled Trial on a Mindfulness and Self-Compassion Online Intervention in University Students
DOI: 10.17632/vd69wxg5ww
title: Acute exposures to thermal stress with large variations affect secondary stress response in ornamental fish Koi carp (Cyprinus carpio var koi)

description: The study reports secondary stress response in Koi due to acute temperature disturbances in a domesticated environment. Aim is to understand their physiological responses in short-term exposure to thermal stress. Sustainability of domesticated ornamental fish species, due to temperature has long been a subject of interest because of its commercial importance. Presumably, the study will amplify the physiological data resources pertaining to Koi carp and give a boost to aquarists for their cultivation.
DOI: 10.17632/vd69wxg5ww.1
title: Acute exposures to thermal stress with large variations affect secondary stress response in ornamental fish Koi carp (Cyprinus carpio var koi)

description: The study reports secondary stress response in Koi due to acute temperature disturbances in a domesticated environment. Aim is to understand their physiological responses in short-term exposure to thermal stress. Sustainability of domesticated ornamental fish species, due to temperature has long been a subject of interest because of its commercial importance. Presumably, the study will amplify the physiological data resources pertaining to Koi carp and give a boost to aquarists for their cultivation.
DOI: 10.17632/w8dx9nfn27
title: Compilation of iodine-129 data for the Arctic Ocean

description: This dataset includes the iodine-129 and apparent oxygen utilization data of the 8th CHINARE-Arctic cruise, and also particulate organic carbon export flux data compiled from previous Arctic Ocean cruises since 1993. Information about the coordinate, ocean depth of sampling sites and sources of data are provided as well.
DOI: 10.17632/w8dx9nfn27.2
title: Compilation of iodine-129 data for the Arctic Ocean

description: This dataset includes the iodine-129 and apparent oxygen utilization data of the 8th CHINARE-Arctic cruise, and also particulate organic carbon export flux data compiled from previous Arctic Ocean cruises since 1993. Information about the coordinate, ocean depth of sampling sites and sources of data are provided as well.
DOI: 10.15468/dl.mcx4zw
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is one of (Italy, Türkiye)",
 "TaxonKey is Lynx lynx"
 ]
}

 The dataset includes 53 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6fx8345zvd
title: Data omens

description: Data paper Traditional Ecological Knowledge and Symbolic Perceptions of Wildlife: Implications for Conservation in Urban and Rural Areas of the Colombian Andes
DOI: 10.17632/6fx8345zvd.1
title: Data omens

description: Data paper Traditional Ecological Knowledge and Symbolic Perceptions of Wildlife: Implications for Conservation in Urban and Rural Areas of the Colombian Andes
DOI: 10.17632/mx3g9mfkhp
title: Multi-Level Integration for Predictive Inference: mPFC Connectivity in Action Anticipation Across Representational Profiles

description: This dataset contains behavioral and neuroimaging data from a table tennis serve anticipation study investigating how different training pathways (observation-based vs. execution-based) shape neural connectivity architecture supporting predictive inference.

 Behavioral data includes pre-post training accuracy, kinematic encoding model outputs (overlap and alignment coefficients), and raw kinematic feature data for individual participants across point-light and full-body video conditions.

 fMRI data comprises first-level contrast images and second-level statistical maps from whole-brain activation analyses (including conjunction and interaction effects), alongside Dynamic Causal Modeling (DCM) results with ROI masks, extracted time-series, and estimated connectivity parameters for all three groups.

 Analysis code provides Python scripts for behavioral modeling (kinematic encoding/readout models, statistical analyses, and visualization) and MATLAB scripts for fMRI analyses (second-level GLM, group comparisons, DCM model specification and estimation).

 All data are organized by analysis type (Behavioral data/code, fMRI data/code) to facilitate reproducibility of the reported findings.
DOI: 10.17632/mx3g9mfkhp.1
title: Multi-Level Integration for Predictive Inference: mPFC Connectivity in Action Anticipation Across Representational Profiles

description: This dataset contains behavioral and neuroimaging data from a table tennis serve anticipation study investigating how different training pathways (observation-based vs. execution-based) shape neural connectivity architecture supporting predictive inference.

 Behavioral data includes pre-post training accuracy, kinematic encoding model outputs (overlap and alignment coefficients), and raw kinematic feature data for individual participants across point-light and full-body video conditions.

 fMRI data comprises first-level contrast images and second-level statistical maps from whole-brain activation analyses (including conjunction and interaction effects), alongside Dynamic Causal Modeling (DCM) results with ROI masks, extracted time-series, and estimated connectivity parameters for all three groups.

 Analysis code provides Python scripts for behavioral modeling (kinematic encoding/readout models, statistical analyses, and visualization) and MATLAB scripts for fMRI analyses (second-level GLM, group comparisons, DCM model specification and estimation).

 All data are organized by analysis type (Behavioral data/code, fMRI data/code) to facilitate reproducibility of the reported findings.
DOI: 10.60893/figshare.apl.30510701
title: Supplemental material

description: Additional and supporting measurements and data
DOI: 10.60893/figshare.apl.30510701.v1
title: Supplemental material

description: Additional and supporting measurements and data
DOI: 10.15468/dl.zng3se
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan, China, India)",
 "TaxonKey is Meandrusa lachinus"
 ]
}

 The dataset includes 67 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009822-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahmp5e
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6_1",
 "TaxonKey is Calidris tenuirostris"
 ]
}

 The dataset includes 93 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009823-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcrbca
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Synsepalum dulcificum"
 ]
}

 The dataset includes 267 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009829-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30721205
title: datasets of "<b>Tunable magnetic field architecture for bioinspired magnetic pressure sensors featuring low detection limits and wide sensing range</b>"

description: the original dataset of the manuscript, including the figures in the main text and the supplementary materials.
DOI: 10.6084/m9.figshare.30721205.v1
title: datasets of "<b>Tunable magnetic field architecture for bioinspired magnetic pressure sensors featuring low detection limits and wide sensing range</b>"

description: the original dataset of the manuscript, including the figures in the main text and the supplementary materials.