cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18650622
title: SYSTEMIC-LINGUISTIC CHARACTERISTICS OF TEMPORALITY AND ASPECTUALITY IN PUBLICISTIC TEXTS

description: This article investigates the systemic-linguistic characteristics of temporality and aspectuality in publicistic texts from the perspective of functional and text linguistics. Temporality and aspectuality are treated not merely as grammatical categories but as text-forming mechanisms that organize the representation of events, processes, and states within media discourse. The study demonstrates that in publicistic texts these categories function on multiple levels — grammatical, lexical, syntactic, and discourse-structural — contributing to textual cohesion, information structuring, and pragmatic impact. Through qualitative discourse analysis, the research identifies the dominant temporal and aspectual patterns that characterize news reporting, analytical articles, and opinion journalism. The findings show that temporality ensures chronological structuring and referential anchoring, while aspectuality shapes the dynamic or static presentation of events, influencing readers’ perception of actuality, urgency, and continuity. The article argues that temporality and aspectuality operate as systemic features of publicistic discourse, forming part of its linguistic architecture.
DOI: 10.5281/zenodo.18650623
title: SYSTEMIC-LINGUISTIC CHARACTERISTICS OF TEMPORALITY AND ASPECTUALITY IN PUBLICISTIC TEXTS

description: This article investigates the systemic-linguistic characteristics of temporality and aspectuality in publicistic texts from the perspective of functional and text linguistics. Temporality and aspectuality are treated not merely as grammatical categories but as text-forming mechanisms that organize the representation of events, processes, and states within media discourse. The study demonstrates that in publicistic texts these categories function on multiple levels — grammatical, lexical, syntactic, and discourse-structural — contributing to textual cohesion, information structuring, and pragmatic impact. Through qualitative discourse analysis, the research identifies the dominant temporal and aspectual patterns that characterize news reporting, analytical articles, and opinion journalism. The findings show that temporality ensures chronological structuring and referential anchoring, while aspectuality shapes the dynamic or static presentation of events, influencing readers’ perception of actuality, urgency, and continuity. The article argues that temporality and aspectuality operate as systemic features of publicistic discourse, forming part of its linguistic architecture.
DOI: 10.17632/nr2vfrhygd
title: Policy Suitability, Intercity Networks, and Green Economic Efficiency: A Planning Perspective from Chinese Cities

description: This repository provides the data and code necessary to reproduce the empirical results and figures presented in the associated article on policy suitability networks and green economic efficiency in Chinese cities.

The contents of the repository are organized into two main components, corresponding to the network analysis and econometric analysis conducted in the study.
DOI: 10.17632/nr2vfrhygd.1
title: Policy Suitability, Intercity Networks, and Green Economic Efficiency: A Planning Perspective from Chinese Cities

description: This repository provides the data and code necessary to reproduce the empirical results and figures presented in the associated article on policy suitability networks and green economic efficiency in Chinese cities.

The contents of the repository are organized into two main components, corresponding to the network analysis and econometric analysis conducted in the study.
DOI: 10.15468/dl.gnf4m8
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Inga insignis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 420 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020728-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fptp44fvjv.1
title: PQIR

description: The code and data of PQIR
DOI: 10.17632/yc4bb78yrv
title: MR-SNWDP

description: Data used for studying the impact of the Middle Route Project of the South-to-North Water Diversion on air pollution including the processing of PM2.5 data and Stata code
DOI: 10.17632/yc4bb78yrv.2
title: MR-SNWDP

description: Data used for studying the impact of the Middle Route Project of the South-to-North Water Diversion on air pollution including the processing of PM2.5 data and Stata code
DOI: 10.17632/t9d9zs3bmb
title: DefectDet: An Annotated Dataset of Printed Circuit Boards with Surface Defects

description: The following dataset provides a collection of 268 annotated high-resolution images of manufactured double-layer PCBs, produced via standardised manufacturing protocols. Surface defects were intentionally introduced during the design phase through precise vector-level modifications of SVG and Gerber files and were physically realised during manufacturing. Five common surface defect categories are included: short circuit, open circuit, spurious copper, spur, and missing pad. 

Image resolutions range from approximately 1000 × 1000 to 2400 × 2400 pixels, providing full-board coverage for each PCB. Detailed bounding box annotations were generated for all visible defect instances using the Roboflow tool, resulting in approximately 1300 annotations with an average of 5 defect instances per image. All annotations follow the COCO (Common Objects in Context) JSON format.
DOI: 10.17632/t9d9zs3bmb.1
title: DefectDet: An Annotated Dataset of Printed Circuit Boards with Surface Defects

description: The following dataset provides a collection of 268 annotated high-resolution images of manufactured double-layer PCBs, produced via standardised manufacturing protocols. Surface defects were intentionally introduced during the design phase through precise vector-level modifications of SVG and Gerber files and were physically realised during manufacturing. Five common surface defect categories are included: short circuit, open circuit, spurious copper, spur, and missing pad. 

Image resolutions range from approximately 1000 × 1000 to 2400 × 2400 pixels, providing full-board coverage for each PCB. Detailed bounding box annotations were generated for all visible defect instances using the Roboflow tool, resulting in approximately 1300 annotations with an average of 5 defect instances per image. All annotations follow the COCO (Common Objects in Context) JSON format.
DOI: 10.17632/5nzzb6m4pv
title: Files_for_Replication

description: This repository contains the complete replication package for the article titled "Investigating the Relationship Between Fiscal Deficit and Economic Growth: A Cointegration and VECM Approach for the Indian Economy." The archive Files_for_Replication.zip includes the processed dataset used for estimation (Final_Data.xlsx), the dataset used to generate Figure 1 (For_Figure1.xlsx), and a detailed README file providing step-by-step instructions to reproduce all empirical results, tables, and figures using EViews 12. The original data are publicly available from the RBI (Database on Indian Economy, https://www.rbi.org.in); the authors do not claim ownership of the primary data but provide the compiled dataset solely for replication purposes.
DOI: 10.17632/5nzzb6m4pv.1
title: Files_for_Replication

description: This repository contains the complete replication package for the article titled "Investigating the Relationship Between Fiscal Deficit and Economic Growth: A Cointegration and VECM Approach for the Indian Economy." The archive Files_for_Replication.zip includes the processed dataset used for estimation (Final_Data.xlsx), the dataset used to generate Figure 1 (For_Figure1.xlsx), and a detailed README file providing step-by-step instructions to reproduce all empirical results, tables, and figures using EViews 12. The original data are publicly available from the RBI (Database on Indian Economy, https://www.rbi.org.in); the authors do not claim ownership of the primary data but provide the compiled dataset solely for replication purposes.
DOI: 10.17632/99xpjdww8s
title: An empirical study on air transport promoting the coordinated regional economic development: A perspective of spatial interaction

description: The impact of China's civil aviation on Coordinated Regional Economic Development (CRED) is becoming increasingly significant. Constructing and validating the mechanism and effects of air transport on CRED constitutes fundamental theoretical research underpinning the strategic position of air transport. This research can provide policy implications for promoting CRED. Based on the exploratory construction of the "logical mechanism of air transport influencing CRED," this paper empirically tests theoretical hypotheses using panel data of "region-pairs" among the seven major civil aviation regions from 2008 to 2023. The results indicate that: (1) Air transport significantly promotes CRED. This conclusion remains robust after addressing endogeneity and conducting robustness checks. (2) "Spatial interactions" act as a mediating variable and represent the primary pathway for this effect. (3) Air transport significantly strengthens the diffusion effects of factor flows between regions, narrowing disparities in resource endowments. Consequently, this exerts a positive moderating effect on the relationship between air transport and CRED. (4) Regional and temporal heterogeneity analyses reveal that air transport exerts a more pronounced positive effect on CRED between the Northeast, Central-South, North China, and East China regions and other regions. However, the role of air transport in promoting CRED exhibits a gradual decline over time.
DOI: 10.17632/99xpjdww8s.2
title: An empirical study on air transport promoting the coordinated regional economic development: A perspective of spatial interaction

description: The impact of China's civil aviation on Coordinated Regional Economic Development (CRED) is becoming increasingly significant. Constructing and validating the mechanism and effects of air transport on CRED constitutes fundamental theoretical research underpinning the strategic position of air transport. This research can provide policy implications for promoting CRED. Based on the exploratory construction of the "logical mechanism of air transport influencing CRED," this paper empirically tests theoretical hypotheses using panel data of "region-pairs" among the seven major civil aviation regions from 2008 to 2023. The results indicate that: (1) Air transport significantly promotes CRED. This conclusion remains robust after addressing endogeneity and conducting robustness checks. (2) "Spatial interactions" act as a mediating variable and represent the primary pathway for this effect. (3) Air transport significantly strengthens the diffusion effects of factor flows between regions, narrowing disparities in resource endowments. Consequently, this exerts a positive moderating effect on the relationship between air transport and CRED. (4) Regional and temporal heterogeneity analyses reveal that air transport exerts a more pronounced positive effect on CRED between the Northeast, Central-South, North China, and East China regions and other regions. However, the role of air transport in promoting CRED exhibits a gradual decline over time.
DOI: 10.48580/d3m6h.v83
title: FAMILY STREBLIDAE
DOI: 10.17632/gfkwnz58nc
title: Data Availability - Wu and Xie. (2026, JGR-Planets)

description: This dataset supports the article by Wu and Xie. (Journal of Geophysical Research: Planets,2026) and is necessary to represent the results presented in the figures of the articles.
DOI: 10.17632/gfkwnz58nc.3
title: Data Availability - Wu and Xie. (2026, JGR-Planets)

description: This dataset supports the article by Wu and Xie. (Journal of Geophysical Research: Planets,2026) and is necessary to represent the results presented in the figures of the articles.
DOI: 10.20383/103.01417
title: Project_02 Q45 StudyTitle Probing the neurochemistry of sensitization and compulsive checking: dopamine and serotonin systems

description: This study (Q45) is one of a series of studies performed in the Szechtman lab at McMaster University and deposited in the FRDR public repository as a collection under the name "A Digital Library of Behavioural Performance in Standardized Conditions - Szechtman Lab Collection". This collection as a whole constitutes a big dataset containing raw data objects of video, track, and path plot records of rats exploring for 55 minutes a large testing environment in a standardized paradigm during chronic treatment with psychostimulant drugs; for details of this big dataset see, https://www.frdr-dfdr.ca/repo/collection/szechtmanlab. The historical context for study Q45 was Project_02 entitled: "Probing the neurochemistry of sensitization and compulsive checking". Title of experiment in Q45 was "Effect of a low dose of 8OHDPAT (0.0625) co-injected with a threshold dose of QNP (0.0625 mg/kg) on the development of sensitization and compulsive checking".
DOI: 10.20383/103.01419
title: Project_03 Q35 StudyTitle Pharmacology of sensitization and compulsive checking: dose-response profile of 8OHDPAT (0 0.03 0.125 0.25 and 1 mg/kg)

description: This study (Q35) is one of a series of studies performed in the Szechtman lab at McMaster University and deposited in the FRDR public repository as a collection under the name "A Digital Library of Behavioural Performance in Standardized Conditions - Szechtman Lab Collection". This collection as a whole constitutes a big dataset containing raw data objects of video, track, and path plot records of rats exploring for 55 minutes a large testing environment in a standardized paradigm during chronic treatment with psychostimulant drugs; for details of this big dataset see, https://www.frdr-dfdr.ca/repo/collection/szechtmanlab. The historical context for study Q35 was Project_03 entitled: "Pharmacology of sensitization and compulsive checking". Title of experiment in Q35 was "Effect of 8OHDPAT dose (0 0.03 0.125 0.25 and 1 mg/kg) on the development of sensitization and compulsive checking". Study Q35 was part also of a second project, Project_04 entitled: "Probing for drugs that mitigate sensitization and compulsive checking" where title of the experiment was "Effect of acute escitalopram on the expression of sensitization and compulsive checking".
DOI: 10.15468/dl.pb6wuj
title: Occurrence Download

description: A dataset containing 22547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.5_1",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Pituophis catenifer"
 ]
}

 The dataset includes 22547 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020729-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn9x8p
title: Occurrence Download

description: A dataset containing 6184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Inga marginata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 6184 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020730-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18650648
title: STATISTICAL ASSESSMENT OF THE COMPETITIVENESS OF FARMS IN THE REPUBLIC OF UZBEKISTAN BASED ON THE VALUE ADDED CHAIN

description: The article examines the issues of applying the value added chain concept in assessing the competitiveness of farming enterprises in the Republic of Uzbekistan. During the research, the value added created at the stages of production, processing, and marketing in farming enterprises was analyzed based on statistical indicators. The results scientifically substantiate that the level of development of the value added chain is one of the key factors determining the competitiveness of farming enterprises, and proposals for improving the methodology of statistical assessment were developed.
DOI: 10.5281/zenodo.18650647
title: STATISTICAL ASSESSMENT OF THE COMPETITIVENESS OF FARMS IN THE REPUBLIC OF UZBEKISTAN BASED ON THE VALUE ADDED CHAIN

description: The article examines the issues of applying the value added chain concept in assessing the competitiveness of farming enterprises in the Republic of Uzbekistan. During the research, the value added created at the stages of production, processing, and marketing in farming enterprises was analyzed based on statistical indicators. The results scientifically substantiate that the level of development of the value added chain is one of the key factors determining the competitiveness of farming enterprises, and proposals for improving the methodology of statistical assessment were developed.
DOI: 10.17632/t8hnnyr5ph
title: Diabetes Diagnosis Dataset for Predictive Modeling and Machine Learning

description: This dataset contains clinical and demographic information of patients collected for the purpose of diabetes prediction and analysis using machine learning techniques. The dataset is structured in CSV format and includes several key medical attributes that are widely used in diabetes diagnosis and research studies.

The primary objective of this dataset is to facilitate binary classification of diabetes status and support research in medical data analysis, predictive modeling, feature selection, and explainable artificial intelligence (XAI). It can be effectively utilized for developing, training, validating, and benchmarking machine learning and deep learning models for early-stage diabetes detection.

Dataset Structure
Each row in the dataset represents a single patient record, while each column corresponds to a clinical or physiological feature. The dataset includes the following attributes:

1. Pregnancies – Number of times pregnant
2. Glucose – Plasma glucose concentration
3. BloodPressure – Diastolic blood pressure (mm Hg)
4. SkinThickness – Triceps skin fold thickness (mm)
5. Insulin – 2-Hour serum insulin (mu U/ml)
6. BMI – Body Mass Index (weight in kg / height in m²)
7. DiabetesPedigreeFunction – A function indicating hereditary influence
8. Age – Age of the patient (years)
9. Outcome – Diabetes status (0 = Non-diabetic, 1 = Diabetic)

Key Features
1. Clean tabular structure suitable for supervised learning tasks
2. Balanced numerical attributes for classification modeling
3. Supports feature selection, optimization, and explainable AI analysis
4. Applicable for academic research, teaching, and benchmarking
5. Potential Applications
6. Diabetes risk prediction
7. Medical decision support systems
8. Machine learning classification experiments
9. Feature importance analysis
10. Explainable AI (XAI) studies using SHAP, LIME, Grad-CAM (for hybrid models)

File Format
CSV (.csv)

Usage Rights
This dataset is shared for research and educational purposes only.
DOI: 10.17632/t8hnnyr5ph.1
title: Diabetes Diagnosis Dataset for Predictive Modeling and Machine Learning

description: This dataset contains clinical and demographic information of patients collected for the purpose of diabetes prediction and analysis using machine learning techniques. The dataset is structured in CSV format and includes several key medical attributes that are widely used in diabetes diagnosis and research studies.

The primary objective of this dataset is to facilitate binary classification of diabetes status and support research in medical data analysis, predictive modeling, feature selection, and explainable artificial intelligence (XAI). It can be effectively utilized for developing, training, validating, and benchmarking machine learning and deep learning models for early-stage diabetes detection.

Dataset Structure
Each row in the dataset represents a single patient record, while each column corresponds to a clinical or physiological feature. The dataset includes the following attributes:

1. Pregnancies – Number of times pregnant
2. Glucose – Plasma glucose concentration
3. BloodPressure – Diastolic blood pressure (mm Hg)
4. SkinThickness – Triceps skin fold thickness (mm)
5. Insulin – 2-Hour serum insulin (mu U/ml)
6. BMI – Body Mass Index (weight in kg / height in m²)
7. DiabetesPedigreeFunction – A function indicating hereditary influence
8. Age – Age of the patient (years)
9. Outcome – Diabetes status (0 = Non-diabetic, 1 = Diabetic)

Key Features
1. Clean tabular structure suitable for supervised learning tasks
2. Balanced numerical attributes for classification modeling
3. Supports feature selection, optimization, and explainable AI analysis
4. Applicable for academic research, teaching, and benchmarking
5. Potential Applications
6. Diabetes risk prediction
7. Medical decision support systems
8. Machine learning classification experiments
9. Feature importance analysis
10. Explainable AI (XAI) studies using SHAP, LIME, Grad-CAM (for hybrid models)

File Format
CSV (.csv)

Usage Rights
This dataset is shared for research and educational purposes only.
DOI: 10.17632/sgchhsycv7
title: Genetic_analysis_of_Mycobacterium_abscessus_reveals_genomic_diversity_linked_to_global_plasmid_distribution_Ohse_et_al

description: We analyzed the clinical isolates of Mycobacterium abscesssus.
DOI: 10.17632/sgchhsycv7.1
title: Genetic_analysis_of_Mycobacterium_abscessus_reveals_genomic_diversity_linked_to_global_plasmid_distribution_Ohse_et_al

description: We analyzed the clinical isolates of Mycobacterium abscesssus.
DOI: 10.17632/wmc2ffp366
title: Westerning blot and Histopathology data

description: data about western blotting and histopathology of the findings
DOI: 10.17632/wmc2ffp366.1
title: Westerning blot and Histopathology data

description: data about western blotting and histopathology of the findings
DOI: 10.17632/4sm62ztzfp
title: Red boat spirit

description: Social entrepreneurship a desirable method for addressing social and environmental problems.
DOI: 10.17632/4sm62ztzfp.2
title: Red boat spirit

description: Social entrepreneurship a desirable method for addressing social and environmental problems.
DOI: 10.17632/z2mvcy2wcm
title: Submarine mooring and tide gauge data

description: Sea water velocity and temperature observed by submarine mooring, and water elevation data observed by tide gauges in the South China Sea.
DOI: 10.17632/z2mvcy2wcm.1
title: Submarine mooring and tide gauge data

description: Sea water velocity and temperature observed by submarine mooring, and water elevation data observed by tide gauges in the South China Sea.