cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vwbfwmmbkz.1
title: Dataset on Informal Recyclable Waste Aggregator (‘Đồng nát’) in Hanoi, Vietnam

description: This dataset was compiled based on the working hypothesis that Informal Recyclable Waste Aggregators (IRWAs), commonly referred to as part of the large-scale informal collection and recycling system known as “đồng nát”, constitute a long-established and spatially differentiated component of Hanoi’s waste management system, with observable variations between urban and rural administrative contexts. The objective of the data collection was to document these variations using standardized indicators, without presuming performance, efficiency, or policy-related outcomes.
The dataset documents the temporal development, sociodemographic characteristics of IRWA owners, and physical and architectural attributes of IRWA sites across Hanoi. Establishment-period data show that most surveyed IRWAs were founded after 2006, while a smaller proportion predate 1990, indicating long-term continuity rather than recent emergence. IRWAs are present in both urban wards and rural communes, with higher absolute numbers recorded in rural areas.
Sociodemographic data indicate that IRWA ownership includes both men and women, with a slight predominance of female owners. Most owners are between 30 and 50 years old, and a substantial proportion originate from provinces outside Hanoi, notably Nam Dinh, a former province that was merged with other provinces effective July 1, 2025, to form the current Ninh Binh Province. Residence data further indicate that many owners live on-site, particularly in rural areas.
Spatial and architectural variables reveal substantial heterogeneity in ground area, storage capacity, mezzanine presence, and building materials. Urban IRWAs are more frequently associated with smaller plots and permanent materials such as brick and concrete, while rural IRWAs tend to occupy larger areas and display a wider range of construction types, including semi-temporary structures.
The dataset provides a descriptive empirical basis for reuse in urban studies, informal economy research, spatial analysis, and comparative or longitudinal studies of informal recycling systems. It is not intended to directly evaluate environmental impacts or policy effectiveness but can support such analyses when combined with complementary datasets.
DOI: 10.17632/dfm3zy7h8z.2
title: KRT17 Promotes Ovarian Cancer Stemness，Progression, and Resistance to Platinum via Stabilization of EPN1 and Activation of the Wnt/β-catenin Pathway----PART1
DOI: 10.17632/r7tcjmb3nt.2
title: KRT17 Promotes Ovarian Cancer Stemness，Progression, and Resistance to Platinum via Stabilization of EPN1 and Activation of the Wnt/β-catenin Pathway------ PARTII
DOI: 10.17632/xz2238cy5h
title: Critical Evaluation of Grammar and Multimedia Test Items in Higher Vocational Education: Validation and Pedagogical Insights

description: The data is related to the Rasch Model result
DOI: 10.17632/xz2238cy5h.1
title: Critical Evaluation of Grammar and Multimedia Test Items in Higher Vocational Education: Validation and Pedagogical Insights

description: The data is related to the Rasch Model result
DOI: 10.15468/dl.g7n7sh
title: Occurrence Download

description: A dataset containing 41871 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phenology and biological traits of migrating eels sampled by trapping in the survey in the Bresle river (France)"
 ]
}

 The dataset includes 41871 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/htf337t49x
title: Prefabricated Vertical Drains (PVD) for Soft Ground Improvement

description: A comprehensive dataset was generated from an automated simulation. The input parameters consisted of geometric variables (soft soil thickness, d0; drain length, d1; smear extent, d7; PVD radius, d8), soil properties (modified compressibility indices λ*, d2 and κ*, d3; horizontal permeability, d4; smear zone permeability, d5), and loading conditions (surcharge, d6). The primary output was the final settlement, denoted as Y.
DOI: 10.17632/htf337t49x.1
title: Prefabricated Vertical Drains (PVD) for Soft Ground Improvement

description: A comprehensive dataset was generated from an automated simulation. The input parameters consisted of geometric variables (soft soil thickness, d0; drain length, d1; smear extent, d7; PVD radius, d8), soil properties (modified compressibility indices λ*, d2 and κ*, d3; horizontal permeability, d4; smear zone permeability, d5), and loading conditions (surcharge, d6). The primary output was the final settlement, denoted as Y.
DOI: 10.17632/sx9hnmkh4f
title: Dataset on Social Capital and Agritourism

description: This dataset contains 634 journal articles on social capital, community participation, and agritourism, published between 1976 and 2025. The data were retrieved from Scopus and Web of Science and processed using Bibliometrix and VOSviewer for bibliometric analysis.
DOI: 10.17632/sx9hnmkh4f.1
title: Dataset on Social Capital and Agritourism

description: This dataset contains 634 journal articles on social capital, community participation, and agritourism, published between 1976 and 2025. The data were retrieved from Scopus and Web of Science and processed using Bibliometrix and VOSviewer for bibliometric analysis.
DOI: 10.17632/79bggkk6xs
title: Identification of MMP14 and FOS as Key Regulators of Vascular Smooth Muscle Cell Senescence in Diabetic Kidney Disease: A Combined Bioinformatics and Experimental Study

description: To investigate vascular smooth muscle cell (VSMC) senescence in diabetic kidney disease (DKD), this study integrated bioinformatics and machine learning to analyze DKD and VSMC aging transcriptomic datasets. Key genes MMP14 and FOS were identified through differential expression, WGCNA, and random forest analyses. They were significantly associated with cellular senescence and immune infiltration, demonstrating diagnostic value. Regulatory network analysis suggested potential ceRNA mechanisms and transcription factors. In a hyperglycemia-induced VSMC senescence model, experimental validation showed that overexpressing MMP14 or suppressing FOS promoted cell proliferation and alleviated senescence and apoptosis. This study identifies MMP14 and FOS as crucial regulators of VSMC senescence, providing new potential targets for DKD diagnosis and therapy.
DOI: 10.17632/79bggkk6xs.1
title: Identification of MMP14 and FOS as Key Regulators of Vascular Smooth Muscle Cell Senescence in Diabetic Kidney Disease: A Combined Bioinformatics and Experimental Study

description: To investigate vascular smooth muscle cell (VSMC) senescence in diabetic kidney disease (DKD), this study integrated bioinformatics and machine learning to analyze DKD and VSMC aging transcriptomic datasets. Key genes MMP14 and FOS were identified through differential expression, WGCNA, and random forest analyses. They were significantly associated with cellular senescence and immune infiltration, demonstrating diagnostic value. Regulatory network analysis suggested potential ceRNA mechanisms and transcription factors. In a hyperglycemia-induced VSMC senescence model, experimental validation showed that overexpressing MMP14 or suppressing FOS promoted cell proliferation and alleviated senescence and apoptosis. This study identifies MMP14 and FOS as crucial regulators of VSMC senescence, providing new potential targets for DKD diagnosis and therapy.
DOI: 10.17632/vf3txm2c4y
title: Drought prediction data for IoT

description: Title: Synthetic Daily Drought Prediction Dataset (2-Year)

Description:
This dataset contains synthetic daily measurements of soil and rainfall conditions for 2 years (730 days) designed for drought prediction research and IoT applications. It includes continuous and binary features that simulate realistic environmental conditions, along with a binary drought label.

Features:

date – Daily date (YYYY-MM-DD)

soilMoisture – Soil moisture percentage (continuous, 5–80%)

soilDigitalWet – Soil wetness indicator (binary: 1 = wet, 0 = dry)

rainPercent – Daily rainfall percentage/probability (continuous, 0–100%)

rainDetected – Rain presence (binary: 1 = yes, 0 = no)

drought – Drought label (binary: 1 = drought, 0 = no drought)

How it was created:

Soil moisture and rainfall were simulated using seasonal sinusoidal patterns and random noise to reflect realistic environmental variability.

Binary features were derived from thresholds on soil moisture and rainfall.

Drought labels were generated using rule-based conditions combining low soil moisture, absence of rain, and dry soil.

Additional random noise was added to introduce realistic uncertainty, making the dataset suitable for training machine learning and deep learning models.

Usage:

Can be used for training sequence-based models like GRU/LSTM or classical ML models for drought prediction.

Ideal for IoT simulations, educational purposes, and experimentation with real-time drought detection systems.
DOI: 10.17632/vf3txm2c4y.1
title: Drought prediction data for IoT

description: Title: Synthetic Daily Drought Prediction Dataset (2-Year)

Description:
This dataset contains synthetic daily measurements of soil and rainfall conditions for 2 years (730 days) designed for drought prediction research and IoT applications. It includes continuous and binary features that simulate realistic environmental conditions, along with a binary drought label.

Features:

date – Daily date (YYYY-MM-DD)

soilMoisture – Soil moisture percentage (continuous, 5–80%)

soilDigitalWet – Soil wetness indicator (binary: 1 = wet, 0 = dry)

rainPercent – Daily rainfall percentage/probability (continuous, 0–100%)

rainDetected – Rain presence (binary: 1 = yes, 0 = no)

drought – Drought label (binary: 1 = drought, 0 = no drought)

How it was created:

Soil moisture and rainfall were simulated using seasonal sinusoidal patterns and random noise to reflect realistic environmental variability.

Binary features were derived from thresholds on soil moisture and rainfall.

Drought labels were generated using rule-based conditions combining low soil moisture, absence of rain, and dry soil.

Additional random noise was added to introduce realistic uncertainty, making the dataset suitable for training machine learning and deep learning models.

Usage:

Can be used for training sequence-based models like GRU/LSTM or classical ML models for drought prediction.

Ideal for IoT simulations, educational purposes, and experimentation with real-time drought detection systems.
DOI: 10.17632/vpvk9snzcf
title: TRATAMENTO PREVENTIVO DA TUBERCULOSE NAS PESSOAS VIVENDO COM HIV/ TUBERCULOSIS PREVENTIVE TREATMENT ON PEOPLE LIVING WITH HIV

description: KNOWLEDGE, ATTITUDES AND PRACTICES (KAP) OF HEALTH PROFESSIONALS ON TUBERCULOSIS PREVENTIVE TREATMENT ON PEOPLE LIVING WITH HIV DATA SET
DOI: 10.17632/vpvk9snzcf.1
title: TRATAMENTO PREVENTIVO DA TUBERCULOSE NAS PESSOAS VIVENDO COM HIV/ TUBERCULOSIS PREVENTIVE TREATMENT ON PEOPLE LIVING WITH HIV

description: KNOWLEDGE, ATTITUDES AND PRACTICES (KAP) OF HEALTH PROFESSIONALS ON TUBERCULOSIS PREVENTIVE TREATMENT ON PEOPLE LIVING WITH HIV DATA SET
DOI: 10.17632/xkz4hzchkr
title: The Atlas of Early Modern Wildlife

description: This file is the basis of The Atlas of Early Modern Wildlife (Pelagic Publishing, 2023). It includes thousands of historical records of wildlife from Britain and Ireland. The records have been extracted from over 400 primary texts (esp. books) written between the year 1519 CE and the year 1772 CE. 

This version of the database includes a single table with over 11,000 rows. Each row provides all the locations where a single species was listed in a single source, so that for example one record lists that the Swordfish (Xiphias gladius) was recorded as present on Shetland in an early modern source called Atlas Maior, and another record labelled lists that the Gannet (Morus bassanus) was recorded as present on both Godrevy Island and Bass Rock in the Itineraries of John Ray. Identifying species and locations in older texts is complicated and where the record is uncertain, this is indicated by adding ?s in the "Present?" field.

Explanation for third version of the Atlas of Early Modern Wildlife Database (December 2025).
Over the last year I have been making many visits to county archives, local collections and national libraries. These include:
The Bodleian Library, Bristol Archives, the British Library, Essex Record Office, the Institute for Historical Research, Lancashire Archives, National Archives, National Library of Scotland, National Library of Wales, North East Wales Archives, Royal College of Physicians of Edinburgh Archives, Shropshire Archives, Wiltshire & Swindon Archives, and MORE. I've tried to go through all of the main natural history texts, local descriptions and travelogues held by each institution. This has resulted in many more incidental records of wildlife. The number of travelogues in particular consulted was increased through use of Robin Gard's The Observant Traveller, which has an appendix listing early travel sources. 
Please consult previous versions of this dataset for further history.

Finding all these records required years of work. If you are a researcher and find additional sources here, please cite this database or the parent publication (which includes in-depth analysis and historical distribution maps) - see link at bottom of page: 
Raye, L. (2023) The Atlas of Early Modern Wildlife, London, Pelagic Publishing.
DOI: 10.17632/xkz4hzchkr.3
title: The Atlas of Early Modern Wildlife

description: This file is the basis of The Atlas of Early Modern Wildlife (Pelagic Publishing, 2023). It includes thousands of historical records of wildlife from Britain and Ireland. The records have been extracted from over 400 primary texts (esp. books) written between the year 1519 CE and the year 1772 CE. 

This version of the database includes a single table with over 11,000 rows. Each row provides all the locations where a single species was listed in a single source, so that for example one record lists that the Swordfish (Xiphias gladius) was recorded as present on Shetland in an early modern source called Atlas Maior, and another record labelled lists that the Gannet (Morus bassanus) was recorded as present on both Godrevy Island and Bass Rock in the Itineraries of John Ray. Identifying species and locations in older texts is complicated and where the record is uncertain, this is indicated by adding ?s in the "Present?" field.

Explanation for third version of the Atlas of Early Modern Wildlife Database (December 2025).
Over the last year I have been making many visits to county archives, local collections and national libraries. These include:
The Bodleian Library, Bristol Archives, the British Library, Essex Record Office, the Institute for Historical Research, Lancashire Archives, National Archives, National Library of Scotland, National Library of Wales, North East Wales Archives, Royal College of Physicians of Edinburgh Archives, Shropshire Archives, Wiltshire & Swindon Archives, and MORE. I've tried to go through all of the main natural history texts, local descriptions and travelogues held by each institution. This has resulted in many more incidental records of wildlife. The number of travelogues in particular consulted was increased through use of Robin Gard's The Observant Traveller, which has an appendix listing early travel sources. 
Please consult previous versions of this dataset for further history.

Finding all these records required years of work. If you are a researcher and find additional sources here, please cite this database or the parent publication (which includes in-depth analysis and historical distribution maps) - see link at bottom of page: 
Raye, L. (2023) The Atlas of Early Modern Wildlife, London, Pelagic Publishing.
DOI: 10.17632/7kpbd5vcg9
title: Zircon U-Pb ages of samples from the Zhusileng region

description: These data are zircon U-Pb ages of granite, volcanic rocks and detriatal zircon from Traissic sedements from the Zhusileng region, northwest Alxa.
DOI: 10.17632/7kpbd5vcg9.1
title: Zircon U-Pb ages of samples from the Zhusileng region

description: These data are zircon U-Pb ages of granite, volcanic rocks and detriatal zircon from Traissic sedements from the Zhusileng region, northwest Alxa.
DOI: 10.17632/p4rsrrmyg8
title: PierceDisease: Xylella fastidiosa affected Grape Leaves comprehensive image dataset

description: Xylella fastidiosa is a great threat to the agricultural society which affects fruits, such as, grape, almond, olives, citrus, etc. This bacterial effect causes pierce’s disease in grapes leaves which leads to leaf scorch, reduced fruit set and vine decline. Total more than 50 diseased trees were under observation to take the dataset. There are total 3types of dataset, such as, raw dataset, processed dataset and augmented dataset. A csv file is included, comprising the weather information when collecting the dataset. Each type of dataset has 4classes: fresh leaves, initial stage, mid stage and final stage of disease. Each class consists 1000 real dataset, and total is 4000 images. The size of every image is 900*1200 pixels. The augmentation applied in various aspects, for instance, horizontal flip (50%), rotation (-25° to +25°), brightness adjusted (0.8 to 1.2), gaussian blur (sigma between 0 and 1.5) and gaussian noise. Augmented image size is 512*512 and the no. of augmented Images are total 40,000. Processed image size is 2024*224 and no. of processed dataset is 4,000. All the images have same white background to reduce noise from dataset.
DOI: 10.17632/p4rsrrmyg8.1
title: PierceDisease: Xylella fastidiosa affected Grape Leaves comprehensive image dataset

description: Xylella fastidiosa is a great threat to the agricultural society which affects fruits, such as, grape, almond, olives, citrus, etc. This bacterial effect causes pierce’s disease in grapes leaves which leads to leaf scorch, reduced fruit set and vine decline. Total more than 50 diseased trees were under observation to take the dataset. There are total 3types of dataset, such as, raw dataset, processed dataset and augmented dataset. A csv file is included, comprising the weather information when collecting the dataset. Each type of dataset has 4classes: fresh leaves, initial stage, mid stage and final stage of disease. Each class consists 1000 real dataset, and total is 4000 images. The size of every image is 900*1200 pixels. The augmentation applied in various aspects, for instance, horizontal flip (50%), rotation (-25° to +25°), brightness adjusted (0.8 to 1.2), gaussian blur (sigma between 0 and 1.5) and gaussian noise. Augmented image size is 512*512 and the no. of augmented Images are total 40,000. Processed image size is 2024*224 and no. of processed dataset is 4,000. All the images have same white background to reduce noise from dataset.
DOI: 10.3886/e241265v1
title: Navigating the Politics of Race, Research, and Role in a University-School District Research-Practice Partnership

description: <b>Open Practices: </b>study instrumentation for the following article, "Navigating the Politics of Race, Research, and Role in a University-School District Research-Practice Partnership," can be found here.
DOI: 10.17632/9w6hzzznp8.1
title: Breaking the Therapeutic Depth Barrier: Single-session Intralesional ALA-PDT versus Topical ALA-PDT Combined with CO2 Laser for Refractory Verruca Vulgaris —A Randomized Controlled Pilot Study

description: Abstract
Background: Topical photodynamic therapy (PDT) exhibits suboptimal efficacy in the management of proliferative cutaneous diseases.
Objective: To evaluate the efficacy of single-session intralesional 5-aminolevulinic acid PDT (iALA-PDT) for refractory verruca vulgaris.
Methods: Eligible participants were randomly assigned to the following two groups. iALA-PDT group: 10% ALA saline solution was administered via intralesional injection. tALA-PDT + CO₂ laser group: Superpulsed CO₂ laser was used to ablate the wart before 10% ALA cream applied topically. All lesions were irradiated with a 633-nm LED red light after a 2-hour incubation. The primary outcome measure was the Total Wart Volume Regression Rate at Week 16 post-treatment, whereas the key secondary outcome measure was the Complete Subject Cure Rate.
Results: A total of 40 verruca vulgaris were included. The median Total Wart Volume Regression Rate in the iALA-PDT group was 100%, which was significantly higher than the 41.7% in the tALA-PDT + CO₂ laser group (p &lt; 0.1). The Complete Subject Cure Rate was 55% in the iALA-PDT group, also significantly superior to the 20% in the tALA-PDT + CO₂ laser group (p &lt; 0.1). 
Limitations: Pilot study lacking big sample size.
Conclusion: iALA-PDT is an effective therapeutic modality for refractory verruca vulgaris.
DOI: 10.17632/44rrmmpr33
title: Good and Bad classification of Cucumber ( Cucumis Sativus)

description: Good and Bad Classification of Cucumber:-

1. Introduction

This section introduces cucumber quality assessment and its importance in agriculture, food processing, and market distribution. It explains how manual inspection is time-consuming and subjective, and highlights the need for an automated image-based classification system to distinguish between good and bad cucumbers.

2. Objective of the Study

The main objective of this research is to develop a system that classifies cucumbers into good and bad categories using digital images. The study aims to improve accuracy and efficiency in quality evaluation by analyzing visual characteristics.

3. Dataset Description

A dataset of 1000 cucumber images was used in this research, consisting of 500 good-quality images and 500 bad-quality images.

Good cucumber images show fresh cucumbers with uniform green color, firm texture, smooth surface, and no visible defects.

Bad cucumber images include cucumbers with discoloration, deformation, surface damage, softness, mold, or signs of spoilage.
The balanced dataset helps reduce bias during model training and evaluation.

4. Image Preprocessing

All images were resized to a uniform resolution to maintain consistency. Noise removal and normalization techniques were applied to enhance image quality. These preprocessing steps help improve feature extraction and classification accuracy.

5. Feature Extraction

Important visual features such as color distribution, texture patterns, and shape characteristics were extracted from the images. These features play a key role in distinguishing good cucumbers from bad ones.

6. Classification Methodology

A classification model was trained using the extracted features and labeled images. The model learns quality-related patterns from the training data and predicts whether a cucumber image belongs to the good or bad class.

7. Performance Evaluation

The classification system was evaluated using standard performance metrics such as accuracy, precision, recall, and F1-score. These metrics help measure the effectiveness of the proposed method.

8. Results and Discussion

This section analyzes the classification results and discusses how well the system identifies quality differences between good and bad cucumbers. Observations related to misclassification and model performance are also presented.

9. Conclusion

The study concludes that image-based classification can effectively distinguish between good and bad cucumbers. The proposed approach reduces manual inspection effort and supports automated quality assessment.

10. Future Scope

Future work may include increasing the dataset size, applying deep learning techniques, or extending the approach to classify other vegetables and fruits.