cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rs2pgh8j2y
title: Data set on unravelling the complex interactions among the factors that limits farmers away from adopting sustainable agriculture practices (SAPs): A case of Bangladeshi rice sector

description: This dataset identifies and validates barriers to adopting Sustainable Agricultural Practices (SAPs) in Bangladesh's rice production chain. Starting with a systematic literature review that identified 67 potential factors, it refined this to 35 key barriers through farmer focus groups and validated them with input from 78 multi-stakeholder experts, including NGO managers and policymakers. Insights on the interactions among these barriers were gathered from surveys and brainstorming sessions with 38 experts. The dataset includes a detailed data collection protocol, lists of identified and refined barriers, and methodology, enhancing understanding of obstacles to SAP adoption among smallholder rice farmers in Bangladesh. The findings are currently under review for publication in a peer-reviewed journal.
DOI: 10.5281/zenodo.18590983
title: LINF_320040600

description: Dihydrolipoamide dehydrogenase 1 | GCVL-2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rs2pgh8j2y.3
title: Data set on unravelling the complex interactions among the factors that limits farmers away from adopting sustainable agriculture practices (SAPs): A case of Bangladeshi rice sector

description: This dataset identifies and validates barriers to adopting Sustainable Agricultural Practices (SAPs) in Bangladesh's rice production chain. Starting with a systematic literature review that identified 67 potential factors, it refined this to 35 key barriers through farmer focus groups and validated them with input from 78 multi-stakeholder experts, including NGO managers and policymakers. Insights on the interactions among these barriers were gathered from surveys and brainstorming sessions with 38 experts. The dataset includes a detailed data collection protocol, lists of identified and refined barriers, and methodology, enhancing understanding of obstacles to SAP adoption among smallholder rice farmers in Bangladesh. The findings are currently under review for publication in a peer-reviewed journal.
DOI: 10.5281/zenodo.18590982
title: LINF_320040600

description: Dihydrolipoamide dehydrogenase 1 | GCVL-2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gswxdzt5tv
title: Hipfracturedataset
DOI: 10.17632/gswxdzt5tv.1
title: Hipfracturedataset
DOI: 10.17632/sp5jptvzgk
title: A dataset on comprehending determinants and drivers to the adoption of Sustainable Agricultural Practices (SAPs) in the rice sector of Bangladesh

description: This dataset compiles insights on the determinants and drivers influencing the adoption of Sustainable Agricultural Practices (SAPs) in the rice sector of Bangladesh. It includes 67 identified determinants, validated through expert-driven key informant interviews using a two-tier Delphi method, resulting in 44 key drivers. The dataset analyzes interdependencies among these drivers and reflects diverse stakeholder perspectives, providing a valuable resource for policymakers, NGOs, and researchers focused on enhancing sustainable practices among smallholder farmers.
DOI: 10.17632/sp5jptvzgk.2
title: A dataset on comprehending determinants and drivers to the adoption of Sustainable Agricultural Practices (SAPs) in the rice sector of Bangladesh

description: This dataset compiles insights on the determinants and drivers influencing the adoption of Sustainable Agricultural Practices (SAPs) in the rice sector of Bangladesh. It includes 67 identified determinants, validated through expert-driven key informant interviews using a two-tier Delphi method, resulting in 44 key drivers. The dataset analyzes interdependencies among these drivers and reflects diverse stakeholder perspectives, providing a valuable resource for policymakers, NGOs, and researchers focused on enhancing sustainable practices among smallholder farmers.
DOI: 10.15468/dl.n98bgn
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jacaranda brasiliana",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005089-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jynfx
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piper vicosanum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 322 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005088-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9fxgx59jd7
title: Collagenesis of mouse intervertebral disc contributes to spine stability

description: We discovered that coccygeal discs at the tail base undergo spontaneous collagenesis and experience high mechanical stress during flexion. These discs, termed as type C, differ from traditional discs by exhibiting reduced hydration and stiffening of the extracellular matrix (ECM), without typical degenerative markers. The decrease in notochord cells and increase in chondrogenic and progenitor cells, combined with intensive collagenesis, contribute to ECM remodeling in type C discs. 
The deposited datasets include an RNA-seq expression matrix and Seurat objects of scRNA-seq analysis.
DOI: 10.17632/9fxgx59jd7.2
title: Collagenesis of mouse intervertebral disc contributes to spine stability

description: We discovered that coccygeal discs at the tail base undergo spontaneous collagenesis and experience high mechanical stress during flexion. These discs, termed as type C, differ from traditional discs by exhibiting reduced hydration and stiffening of the extracellular matrix (ECM), without typical degenerative markers. The decrease in notochord cells and increase in chondrogenic and progenitor cells, combined with intensive collagenesis, contribute to ECM remodeling in type C discs. 
The deposited datasets include an RNA-seq expression matrix and Seurat objects of scRNA-seq analysis.
DOI: 10.17632/7pp7jy5zmf
title: A dataset of firm-level geopolitical risk perception for Chinese listed companies

description: This dataset provides firm-level measures of corporate geopolitical risk perception for Chinese A-share listed companies (2010–2024), constructed using NLP techniques applied to Management Discussion and Analysis (MD&A) sections of annual reports.
Methodology:
The index employs TF-IDF weighting based on a hierarchical "Four Pillars, Twelve Dimensions" lexicon containing 449 core terms, expanded via Word2Vec semantic modeling (vector size=300, similarity threshold=0.6). Text preprocessing includes jieba segmentation and stop-word filtering. Scores represent normalized keyword frequency per 100 words, winsorized at 1% and 99% levels.
Theoretical Framework:
Economic & Trade (Econ): Trade Barriers (tariffs, anti-dumping), Green Barriers (CBAM, carbon footprints), Investment & Financial (CFIUS, SWIFT sanctions)
Technology & Innovation (Tech): Sanction Blacklists (Entity List, EAR), Bio/Hard Tech Decoupling (CHIPS Act, biosecurity), Defensive Substitution (IT innovation, domestic substitution)
Supply Chain (Chain): Ethical Compliance (UFLPA, forced labor), Strategic Reconstruction (China Plus One, de-risking), Resource & Logistics (rare earths, energy security)
Macro-Political & Data (Macro_Data): Data Sovereignty (GDPR, cybersecurity), Ideological & Political (systemic rivalry), Regional Stability (geopolitical conflicts)
Data Content:
Primary file: GRPI_China_Firm_Level_2010_2024.csv (54,524 firm-year observations)
Key variables: Stock code (Stkcd), Year, Total_Words, GRPI_Total (aggregate index), four pillar scores (Econ, Tech, Chain, Macro_Data), twelve sub-dimension scores, industry classification (6 sectors), ownership type (Private/SOE)
DOI: 10.17632/7pp7jy5zmf.1
title: A dataset of firm-level geopolitical risk perception for Chinese listed companies

description: This dataset provides firm-level measures of corporate geopolitical risk perception for Chinese A-share listed companies (2010–2024), constructed using NLP techniques applied to Management Discussion and Analysis (MD&A) sections of annual reports.
Methodology:
The index employs TF-IDF weighting based on a hierarchical "Four Pillars, Twelve Dimensions" lexicon containing 449 core terms, expanded via Word2Vec semantic modeling (vector size=300, similarity threshold=0.6). Text preprocessing includes jieba segmentation and stop-word filtering. Scores represent normalized keyword frequency per 100 words, winsorized at 1% and 99% levels.
Theoretical Framework:
Economic & Trade (Econ): Trade Barriers (tariffs, anti-dumping), Green Barriers (CBAM, carbon footprints), Investment & Financial (CFIUS, SWIFT sanctions)
Technology & Innovation (Tech): Sanction Blacklists (Entity List, EAR), Bio/Hard Tech Decoupling (CHIPS Act, biosecurity), Defensive Substitution (IT innovation, domestic substitution)
Supply Chain (Chain): Ethical Compliance (UFLPA, forced labor), Strategic Reconstruction (China Plus One, de-risking), Resource & Logistics (rare earths, energy security)
Macro-Political & Data (Macro_Data): Data Sovereignty (GDPR, cybersecurity), Ideological & Political (systemic rivalry), Regional Stability (geopolitical conflicts)
Data Content:
Primary file: GRPI_China_Firm_Level_2010_2024.csv (54,524 firm-year observations)
Key variables: Stock code (Stkcd), Year, Total_Words, GRPI_Total (aggregate index), four pillar scores (Econ, Tech, Chain, Macro_Data), twelve sub-dimension scores, industry classification (6 sectors), ownership type (Private/SOE)
DOI: 10.15468/dl.eyd959
title: Occurrence Download

description: A dataset containing 4898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "StateProvince is Gelderland",
 "TaxonKey is Silene flos-cuculi",
 "Year 2015-2025"
 ]
}

 The dataset includes 4898 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005091-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4f6ys
title: Occurrence Download

description: A dataset containing 50482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zacco",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50482 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005050-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g77df8pb5v
title: Millimeter-scale iron oxide barrier at the oxic-anoxic soil-water interface controls arsenic sequestration in flooded paddy soils
DOI: 10.17632/g77df8pb5v.1
title: Millimeter-scale iron oxide barrier at the oxic-anoxic soil-water interface controls arsenic sequestration in flooded paddy soils
DOI: 10.17026/ar/w38o0p
title: Utrecht Stichtse Vecht, Nieuwer Ter Aa Een proefsleuf op de Linie ter Aa, Stichtse Vecht, Nieuwer Ter Aa

description: &lt;p&gt;ADC ArcheoProjecten heeft een Inventariserend Veldonderzoek (IVO) in de vorm van proefsleuven uitgevoerd voor het plangebied Nieuwer ter Aa zuidzijde. In het gebied zullen nieuwe woningen worden gebouwd. Vooronderzoek heeft aangetoond dat zich op deze locatie oever- op beddingafzettingen van de Oud-Aa meandergordel bevinden. In de top van de oeverafzettingen bevindt zich een laklaag, een potentieel bewonings- of loopniveau, met houtskoolresten daarin. Deze zou kunnen dateren in de IJzertijd of Romeinse tijd. Daarnaast werden in het noordoosten van het plangebied resten van de Linie Ter Aa verwacht. De voorgenomen bouwplannen zullen deze mogelijke resten verstoren of zelfs geheel vernietigen.&lt;/p&gt;
DOI: 10.17632/vzt878hwdn
title: AgroWinterLeaf-BD: A curated field image dataset of five winter leafy vegetables from Bangladesh

description: This repository contains a field-acquired RGB image dataset of five winter leafy vegetables cultivated in agricultural plots in Cumilla, Bangladesh, captured under natural conditions between November 2025 and January 2026. Images were collected using multiple smartphone devices (e.g., iPhone 15, Redmi Note 14 Pro, vivo Y50i) to introduce sensor variability. The dataset is designed for leafy vegetable image classification and includes natural variation in illumination, leaf pose/orientation, growth stage, and background.

Classes (5)
1) Purslane (Portulaca oleracea) – 231 images
2) Radish Leaves (Raphanus sativus) – 186 images
3) Red Amaranth (Amaranthus tricolor) – 337 images
4) Spinach (Spinacia oleracea) – 342 images
5) Sweet Pumpkin Leaves (Cucurbita moschata) – 248 images
DOI: 10.17632/vzt878hwdn.1
title: AgroWinterLeaf-BD: A curated field image dataset of five winter leafy vegetables from Bangladesh

description: This repository contains a field-acquired RGB image dataset of five winter leafy vegetables cultivated in agricultural plots in Cumilla, Bangladesh, captured under natural conditions between November 2025 and January 2026. Images were collected using multiple smartphone devices (e.g., iPhone 15, Redmi Note 14 Pro, vivo Y50i) to introduce sensor variability. The dataset is designed for leafy vegetable image classification and includes natural variation in illumination, leaf pose/orientation, growth stage, and background.

Classes (5)
1) Purslane (Portulaca oleracea) – 231 images
2) Radish Leaves (Raphanus sativus) – 186 images
3) Red Amaranth (Amaranthus tricolor) – 337 images
4) Spinach (Spinacia oleracea) – 342 images
5) Sweet Pumpkin Leaves (Cucurbita moschata) – 248 images
DOI: 10.15468/dl.6t38f8
title: Occurrence Download

description: A dataset containing 78151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78151 records from 516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005057-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/38dsskhnyw
title: Qom Climate Data from 2015 to 2016

description: The Excel file includes climate data such as temperature, radiation, wind speed, precipitation, and relative humidity for Qom city in Iran, which has an arid to semi-arid climate, for 1 year from 2015 to 2016.
DOI: 10.17632/38dsskhnyw.1
title: Qom Climate Data from 2015 to 2016

description: The Excel file includes climate data such as temperature, radiation, wind speed, precipitation, and relative humidity for Qom city in Iran, which has an arid to semi-arid climate, for 1 year from 2015 to 2016.
DOI: 10.17617/3.ckjwoq
title: Data and Scripts for "Transient deglacial simulations unravel the causes of Mediterranean sapropel formation"

description: This dataset contains all necessary data as well as python scripts to reproduce all figures in the paper entitled: "Transient deglacial simulations unravel the causes of Mediterranean sapropel formation"
DOI: 10.5281/zenodo.18588830
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.18588829
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.17632/nr846swt67
title: Lesion Measurement Tool - Supporting Material for JAAD Technology Pearl

description: Web-based calibration and measurement tool for dermatological photography 
 using reference markers. This HTML application supports the methodology 
 described in "Calibration Markers Enable Lesion Measurement in Total Body 
 Photography" (JAAD Technology Pearl, 2026).
 
 Single-file HTML tool - no installation required. Open in any modern 
 web browser for offline use.
DOI: 10.17632/nr846swt67.1
title: Lesion Measurement Tool - Supporting Material for JAAD Technology Pearl

description: Web-based calibration and measurement tool for dermatological photography 
 using reference markers. This HTML application supports the methodology 
 described in "Calibration Markers Enable Lesion Measurement in Total Body 
 Photography" (JAAD Technology Pearl, 2026).
 
 Single-file HTML tool - no installation required. Open in any modern 
 web browser for offline use.
DOI: 10.15468/dl.e7aqpw
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cereus jamacaru jamacaru",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 347 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005095-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5qrpc
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyphessobrycon stegemanni",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 26 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005092-260208012135463/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.31225405.v4
title: A global dataset of reservoir in-situ water levels for hydrological and remote sensing applications

description: The GROWL dataset provides comprehensive reservoir information, including static attributes and long-term water level or storage time series. The dataset consists of four main components:GROWL_Metadata.csv: Contains static attributes for each of the 4,128 reservoirs in the dataset, including identifiers, names, geographic coordinates, and links to the original data sources.GROWL_Timeseries: A directory containing the complete long-term time series of water level or storage for each reservoir, organized as individual files corresponding to each reservoir.GROWL_Location: A point shapefile showing the geographic locations of stations and reservoirs, referenced to the WGS84 coordinate system (EPSG:4326).README.md: A documentation file summarizing the GROWL dataset structure, contents, and usage, and providing guidance for interpreting metadata and citing the dataset.For an interactive visualization of the dataset (Google Earth Engine App), please visit:<br>https://myzhang.projects.earthengine.app/view/growl
DOI: 10.15468/dl.abezpm
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilosocereus piauhyensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 52 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005094-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zg93th7mhb
title: MangoLeafDiseasesDataset

description: This dataset contains 6 mango leaf disease classes, including healthy, bacterial black spot, sooty mold, white scale, cottony cushion scale, and dieback. This dataset contains 3000 images with annotation files in .txt format. Images were captured from North India, specifically the district of Saharanpur in Uttar Pradesh.
DOI: 10.17632/zg93th7mhb.1
title: MangoLeafDiseasesDataset

description: This dataset contains 6 mango leaf disease classes, including healthy, bacterial black spot, sooty mold, white scale, cottony cushion scale, and dieback. This dataset contains 3000 images with annotation files in .txt format. Images were captured from North India, specifically the district of Saharanpur in Uttar Pradesh.
DOI: 10.17632/9zgkwwv9j8
title: Apple Disease Dataset

description: The dataset used in this study consists of images of apple fruit representing different visual conditions, including healthy fruit and fruit affected by diseases. The data were collected from multiple apple orchards owned by local farmers in major apple production areas. Given the high occurrence of apple fruit diseases in these regions, consultations were conducted with farmers and agricultural experts to identify the most common disease symptoms observed in the field.

The dataset comprises five visual categories, including one healthy fruit class and four major apple fruit disease classes. All images were acquired directly in orchard environments, thereby reflecting real field conditions. Image acquisition was performed across multiple orchard locations under natural lighting conditions.

Images were captured using a combination of digital cameras and smartphone devices with varying camera specifications. Data collection was carried out with the assistance of agricultural experts to ensure the accuracy and reliability of the dataset. This dataset is intended to support computer vision and machine learning research focused on apple fruit disease identification.
DOI: 10.17632/9zgkwwv9j8.3
title: Apple Disease Dataset

description: The dataset used in this study consists of images of apple fruit representing different visual conditions, including healthy fruit and fruit affected by diseases. The data were collected from multiple apple orchards owned by local farmers in major apple production areas. Given the high occurrence of apple fruit diseases in these regions, consultations were conducted with farmers and agricultural experts to identify the most common disease symptoms observed in the field.

The dataset comprises five visual categories, including one healthy fruit class and four major apple fruit disease classes. All images were acquired directly in orchard environments, thereby reflecting real field conditions. Image acquisition was performed across multiple orchard locations under natural lighting conditions.

Images were captured using a combination of digital cameras and smartphone devices with varying camera specifications. Data collection was carried out with the assistance of agricultural experts to ensure the accuracy and reliability of the dataset. This dataset is intended to support computer vision and machine learning research focused on apple fruit disease identification.
DOI: 10.17632/r6z3xydbzz
title: Multilingual Image-Text Dataset for Cross-Lingual NLP and Sentiment Analysis

description: Multilingual Image-Text Dataset for Cross-lingual NLP and Sentiment Analysis has 2,860 images with text in Banglish (Romanised Bangla), Romanised Hindi and English. The records have a combination of visual and textual information, which is best suited to multimodal research.Apply to cross-lingual NLP, sentiment analysis, humor and sarcasm detection, political content and social media research. Text only, image only and multimodal learning Supports binary and multi-class binary and multi-class learning.Images are presented in their original form with no preprocessing or annotations and leave a researcher with absolute freedom to extract features and model them in the way they want. The data set is ethical and there is no personal identifiable information.
It is a highly flexible data set that can be used to learn about multimodal understanding, sentiment prediction, cross-lingual AI models, etc.