cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fcp5vy
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera indica",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019095-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdgx3f
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fuchsia encliandra"
 ]
}

 The dataset includes 573 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019096-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4z88dz
title: Occurrence Download

description: A dataset containing 17227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Deyeuxia groenlandica stricta, Deyeuxia hookeri, Deyeuxia micrantha, Deyeuxia micrantha, Deyeuxia neglecta borealis, Deyeuxia neglecta brevifolia, Deyeuxia neglecta gracilis, Deyeuxia poaeoides, Calamagrostis villosa, ? hallieriana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 17227 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019093-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5jwk84pxgg
title: Millets Conjoint Analysis

description: Conjoint Analysis Survey was conducted to assess the consumer preference in millet subscription. The total number of responses is 157. Due to confidentiality, the demographic details of the respondents are not provided in the dataset.
DOI: 10.17632/5jwk84pxgg.1
title: Millets Conjoint Analysis

description: Conjoint Analysis Survey was conducted to assess the consumer preference in millet subscription. The total number of responses is 157. Due to confidentiality, the demographic details of the respondents are not provided in the dataset.
DOI: 10.15468/dl.6u9s8t
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delpinophytum patagonicum"
 ]
}

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019097-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4prx3cr2ss
title: FSD & IQ and Environmental degradation

description: The impact of financial development and institutional quality on the environment
DOI: 10.17632/4prx3cr2ss.2
title: FSD & IQ and Environmental degradation

description: The impact of financial development and institutional quality on the environment
DOI: 10.15468/dl.xeafnw
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glyceria fluitans declinata, Glyceria fluitans pumila, Glyceria fluitans pumila, Glyceria notata declinata, Glyceria plicata declinata, Glyceria plicata declinata, Glyceria plicata declinata, Glyceria plicata littoralis, Glyceria plicata nana, Glyceria elata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019098-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tysmx7wfp3
title: Rheological and Thermal Transition of High Internal Phase Emulsion Gel Structured from Sardine Oil-Based Monostearate Oleogel and Caseinate–Carrageenan Hydrogel

description: This dataset presents rheological and thermal transition data of high internal phase emulsion (HIPE) gels structured from sardine oil-based monostearate oleogel and a combination of caseinate–carrageenan hydrogel. The purpose of this study was to optimize the emulsifier system for structuring HIPE gels that can be applied in food systems, particularly as fat replacers in surimi products. Rheological characterization was performed using a TA Instruments DHR-1 Rheometer with oscillatory frequency sweep analysis at 25°C, evaluating both storage modulus (G′) and loss modulus (G″) across frequencies from 0.1 to 10 Hz. Thermal transition behavior was analyzed by Differential Scanning Calorimetry (DSC), determining melting profiles and thermal stability of the HIPE gels. Data includes: (i) Frequency sweep data (G′ and G″ values) of HIPE gels at varying emulsifier ratios. (ii) Thermal transition profiles from DSC analysis, indicating phase change temperatures. Supporting calculation sheets for OBC and droplet size where applicable. This dataset is useful for researchers studying colloidal fat replacement systems, marine-based oleogels, and the application of protein–polysaccharide hydrogel systems in food products.
DOI: 10.17632/tysmx7wfp3.1
title: Rheological and Thermal Transition of High Internal Phase Emulsion Gel Structured from Sardine Oil-Based Monostearate Oleogel and Caseinate–Carrageenan Hydrogel

description: This dataset presents rheological and thermal transition data of high internal phase emulsion (HIPE) gels structured from sardine oil-based monostearate oleogel and a combination of caseinate–carrageenan hydrogel. The purpose of this study was to optimize the emulsifier system for structuring HIPE gels that can be applied in food systems, particularly as fat replacers in surimi products. Rheological characterization was performed using a TA Instruments DHR-1 Rheometer with oscillatory frequency sweep analysis at 25°C, evaluating both storage modulus (G′) and loss modulus (G″) across frequencies from 0.1 to 10 Hz. Thermal transition behavior was analyzed by Differential Scanning Calorimetry (DSC), determining melting profiles and thermal stability of the HIPE gels. Data includes: (i) Frequency sweep data (G′ and G″ values) of HIPE gels at varying emulsifier ratios. (ii) Thermal transition profiles from DSC analysis, indicating phase change temperatures. Supporting calculation sheets for OBC and droplet size where applicable. This dataset is useful for researchers studying colloidal fat replacement systems, marine-based oleogels, and the application of protein–polysaccharide hydrogel systems in food products.
DOI: 10.17632/9rsgc5s8kg
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 5

description: RNA sequencing raw data
DOI: 10.17632/9rsgc5s8kg.1
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 5

description: RNA sequencing raw data
DOI: 10.17632/8sfbvtn7cr
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 4

description: RNA sequencing raw data
DOI: 10.17632/8sfbvtn7cr.1
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 4

description: RNA sequencing raw data
DOI: 10.17632/7z7mkg5ggv
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 3

description: RNA sequencing raw data
DOI: 10.15468/dl.rswujc
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fuchsia fulgens"
 ]
}

 The dataset includes 262 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019099-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7z7mkg5ggv.1
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 3

description: RNA sequencing raw data
DOI: 10.17632/p2m2kphy6v
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 2

description: RNA sequencing raw data
DOI: 10.17632/p2m2kphy6v.1
title: Engineered Extracellular Phase Separation Accelerates Cell Activation by Triggering Intracellular Phase Separation 2

description: RNA sequencing raw data
DOI: 10.17632/ss63ftnjnh
title: High-Resolution Eggplant Leaf Image Dataset for Plant Disease Classification and Detection

description: The "EggplantLeaf-ImageDataset" is a high-resolution image dataset of eggplant (Solanum melongena) leaves collected to support machine learning and computer vision research in plant disease detection. The dataset contains 1338 original images captured using a Canon EOS 1300D DSLR camera under consistent natural daylight conditions. Image resolution is preserved at 4000 × 6000 pixels (width × height), ensuring high visual quality uncommon in most publicly available plant leaf datasets.

Images were collected over a 5-day period between April 12 and June 27, 2025, in Changao, Savar, Dhaka (23°53′2″N, 90°19′28″E), and Rayerdia, Kaliganj, Gazipur (23°88′2″N, 90°47′1″E), Bangladesh. Each image is labeled with one of six leaf condition classes:

1. Healthy 267 images
2. Insect Pest 189 images
3. Leaf Spot 232 images
4. Mosaic Virus 189 images
5. Small Leaf 225 images
6. Wilt 236 images

All images are original field samples. Class labels were reviewed and validated by agricultural experts. Only image-level annotations (i.e., class labels) are provided.

Files included:
EggplantLeaf-ImageDataset/ — Root directory containing six subfolders named Healthy, Insect Pest, Leaf Spot, Mosaic Virus, Small Leaf, and Wilt; each folder holds the original JPG images for that class.
EggplantLeaf-ImageDataset/Readme.md — Markdown file describing dataset structure, collection protocol, naming conventions, and usage guidelines.
EggplantLeaf-ImageDataset/metadata.csv — CSV file with two columns, filename (for example, Leaf Spot/Leaf Spot 17.jpg) and class (for example, Leaf Spot), mapping each image to its class label.
DOI: 10.15468/dl.48t9ax
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAE5280"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019100-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ss63ftnjnh.6
title: High-Resolution Eggplant Leaf Image Dataset for Plant Disease Classification and Detection

description: The "EggplantLeaf-ImageDataset" is a high-resolution image dataset of eggplant (Solanum melongena) leaves collected to support machine learning and computer vision research in plant disease detection. The dataset contains 1338 original images captured using a Canon EOS 1300D DSLR camera under consistent natural daylight conditions. Image resolution is preserved at 4000 × 6000 pixels (width × height), ensuring high visual quality uncommon in most publicly available plant leaf datasets.

Images were collected over a 5-day period between April 12 and June 27, 2025, in Changao, Savar, Dhaka (23°53′2″N, 90°19′28″E), and Rayerdia, Kaliganj, Gazipur (23°88′2″N, 90°47′1″E), Bangladesh. Each image is labeled with one of six leaf condition classes:

1. Healthy 267 images
2. Insect Pest 189 images
3. Leaf Spot 232 images
4. Mosaic Virus 189 images
5. Small Leaf 225 images
6. Wilt 236 images

All images are original field samples. Class labels were reviewed and validated by agricultural experts. Only image-level annotations (i.e., class labels) are provided.

Files included:
EggplantLeaf-ImageDataset/ — Root directory containing six subfolders named Healthy, Insect Pest, Leaf Spot, Mosaic Virus, Small Leaf, and Wilt; each folder holds the original JPG images for that class.
EggplantLeaf-ImageDataset/Readme.md — Markdown file describing dataset structure, collection protocol, naming conventions, and usage guidelines.
EggplantLeaf-ImageDataset/metadata.csv — CSV file with two columns, filename (for example, Leaf Spot/Leaf Spot 17.jpg) and class (for example, Leaf Spot), mapping each image to its class label.
DOI: 10.17632/n3nbhjjkjr.2
title: AgReview - Hybrid Dataset for NLP-based Price and Sentiment Evaluation in Agri Inputs

description: The primary objective of this collection is to support AI-driven methods for cotton crop disease control and product recommendations. The two key components of dataset are comprehensive product listings and user-generated ratings, and it was selected from BigHaat, one of India's leading digital agri-platforms. The product data includes the product name, company, pricing (MRP, selling price, discounts), and packaging size (in milliliters, grams, LTR, etc.). Each item is categorized as Low, Medium, or High using quantile binning and standard deviation-based methods to allow for price intelligence while accounting for size-normalized pricing. This helps identify trends in market affordability and enables fair comparisons of different product volumes.
The reviews part, which documents real farmer comments, includes review texts and contextual agronomic information, such as dosage, usage instructions, and target diseases or insects. According to Shaver's Emotion Model, NLP techniques were used to classify emotions (satisfied, neutral, sad, and disgust) and sentiments (positive, neutral, and negative) using the CardiffNLP Twitter-RoBERTa model. Examining these results by hand improved accuracy. 
This dataset is designed to support intelligent systems that assist farmers and agri-tech platforms in making informed, cost-effective, and emotionally conscious decisions. It will also significantly advance research on AI-powered product recommendations, price optimization, and user experience in agriculture.
DOI: 10.17632/ygxzb2g23c
title: Legal Frameworks For Integrating Green Hydrogen: A Comparative Analysis Of Legal Framework Of China, US, India And European Union

description: Green Hydrogen related Data
DOI: 10.15468/dl.tqd8fe
title: Occurrence Download

description: A dataset containing 6418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna siamea",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 6418 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019102-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ygxzb2g23c.1
title: Legal Frameworks For Integrating Green Hydrogen: A Comparative Analysis Of Legal Framework Of China, US, India And European Union

description: Green Hydrogen related Data
DOI: 10.17632/d8vcvttx9s
title: LINF_190016500

description: Mitochondrial carrier protein | MCP7; Leishmania infantum (strain JPCM5)
DOI: 10.17632/d8vcvttx9s.2
title: LINF_190016500

description: Mitochondrial carrier protein | MCP7; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r59kcphbw4
title: Pasting Temperature Behavior Derived from Rapid Visco Analyzer (RVA) and Sensory Acceptance Profile of Instant Mashed Potato Fortified with Fish Protein Concentrate and Eucheuma Seaweed Powder

description: This dataset contains Rapid Visco Analyzer (RVA) and sensory evaluation data of instant mashed potato fortified with fish protein concentrate (FPC) and Eucheuma cottonii seaweed powder. The study focuses on the effects of combined seaweed and FPC fortification on pasting behavior and sensory acceptance. Pasting temperature profiles were evaluated to observe changes in gelatinization properties due to the addition of marine-based ingredients. The data indicate that seaweed fortification tends to lower the pasting temperature, reflecting earlier gelatinization, while the addition of fish protein concentrate slightly increases the pasting temperature, likely due to interactions between starch and protein components. Sensory evaluation showed the highest overall liking in the control sample, with a slight decrease observed in fortified formulations, but with acceptable levels maintained in texture and smoothness attributes. The dataset includes raw and processed RVA results and hedonic sensory scores, useful for evaluating the formulation impact of protein and fiber fortification in instant mashed potato products.
DOI: 10.17632/r59kcphbw4.1
title: Pasting Temperature Behavior Derived from Rapid Visco Analyzer (RVA) and Sensory Acceptance Profile of Instant Mashed Potato Fortified with Fish Protein Concentrate and Eucheuma Seaweed Powder

description: This dataset contains Rapid Visco Analyzer (RVA) and sensory evaluation data of instant mashed potato fortified with fish protein concentrate (FPC) and Eucheuma cottonii seaweed powder. The study focuses on the effects of combined seaweed and FPC fortification on pasting behavior and sensory acceptance. Pasting temperature profiles were evaluated to observe changes in gelatinization properties due to the addition of marine-based ingredients. The data indicate that seaweed fortification tends to lower the pasting temperature, reflecting earlier gelatinization, while the addition of fish protein concentrate slightly increases the pasting temperature, likely due to interactions between starch and protein components. Sensory evaluation showed the highest overall liking in the control sample, with a slight decrease observed in fortified formulations, but with acceptable levels maintained in texture and smoothness attributes. The dataset includes raw and processed RVA results and hedonic sensory scores, useful for evaluating the formulation impact of protein and fiber fortification in instant mashed potato products.
DOI: 10.5517/ccdc.csd.cc2myqz9
title: CCDC 2441652: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2myr0c
title: CCDC 2441653: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qu6kk2
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera indica",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019101-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d37jrnfcvb.1
title: Data from: Different abilities within a single plant? The effect of root position along rhizome on fine root traits in herbs

description: We collected rhizomatous plants from the field and measured fine root morphological traits, together with additional data (aboveground biomass, rhizome dry matter content, rhizome length). We tested whether there is a difference between fine root traits in young and old part of rhizome, our goal being to evaluate change of traits during ontogeny. We found small significant effect of root ontogeny (proxied by position along rhizome) on root tissue density. We also found that in species with longer rhizomes, specific root length as well as root diameter varied between young and old roots.
DOI: 10.5517/ccdc.csd.cc2myr1d
title: CCDC 2441654: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2myr2f
title: CCDC 2441655: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/hmjjbkz95g
title: LINF_190014900

description: Peptidyl-prolyl cis-trans isomerase | FKBPL4; Leishmania infantum (strain JPCM5)
DOI: 10.5517/ccdc.csd.cc2myr3g
title: CCDC 2441656: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2myr4h
title: CCDC 2441657: Experimental Crystal Structure Determination

description: Related Article: Togo Anzai, Koh Sugamata, Shogo Morisako, Takahiro Sasamori|2025|Dalton Trans.|54|10667|doi:10.1039/D5DT00966A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/hmjjbkz95g.2
title: LINF_190014900

description: Peptidyl-prolyl cis-trans isomerase | FKBPL4; Leishmania infantum (strain JPCM5)