cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/92jc6w6mcy
title: RiceSeg-5932: Complete Pixel-Level Segmentation Masks for Rice Leaf Disease Images Samples

description: This dataset provides expert-annotated, pixel-level segmentation masks for the publicly available collection of 5,932 rice leaf images originally released by Sethy et al. (2020). The images cover four major rice leaf diseases: Bacterial Blight, Leaf Blast, Brown Spot, and Tungro, representing diverse disease manifestations.

Each image has a corresponding manual segmentation mask in JPG format, created using "Label Studio" to precisely delineate diseased regions at the pixel level. These ground-truth masks enable supervised training, evaluation, and benchmarking of semantic segmentation models for plant disease detection, supporting reproducible research in agricultural computer vision.

This dataset represents the first publicly available, complete set of pixel-level segmentation masks for all images in the original collection, providing a valuable resource for machine learning, computer vision research, and quantitative disease-region analysis in rice crops.

❗ IMPORTANT: How to Use This Dataset

This dataset contains only the segmentation masks. To use it correctly:

- Download the original images from:
sethy, prabira Kumar (2020), “Rice Leaf Disease Image Samples”, Mendeley Data, V1, doi: 10.17632/fwcj7stb8r.1
- Pair masks and images using exact filename correspondence with Version 1 or Vesion 2 of the dataset.
DOI: 10.17632/92jc6w6mcy.1
title: RiceSeg-5932: Complete Pixel-Level Segmentation Masks for Rice Leaf Disease Images Samples

description: This dataset provides expert-annotated, pixel-level segmentation masks for the publicly available collection of 5,932 rice leaf images originally released by Sethy et al. (2020). The images cover four major rice leaf diseases: Bacterial Blight, Leaf Blast, Brown Spot, and Tungro, representing diverse disease manifestations.

Each image has a corresponding manual segmentation mask in JPG format, created using "Label Studio" to precisely delineate diseased regions at the pixel level. These ground-truth masks enable supervised training, evaluation, and benchmarking of semantic segmentation models for plant disease detection, supporting reproducible research in agricultural computer vision.

This dataset represents the first publicly available, complete set of pixel-level segmentation masks for all images in the original collection, providing a valuable resource for machine learning, computer vision research, and quantitative disease-region analysis in rice crops.

❗ IMPORTANT: How to Use This Dataset

This dataset contains only the segmentation masks. To use it correctly:

- Download the original images from:
sethy, prabira Kumar (2020), “Rice Leaf Disease Image Samples”, Mendeley Data, V1, doi: 10.17632/fwcj7stb8r.1
- Pair masks and images using exact filename correspondence with Version 1 or Vesion 2 of the dataset.
DOI: 10.15468/dl.4956gz
title: Occurrence Download

description: A dataset listing the 72 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is one of (Vernonia zollingerianoides, Vernonia wetarensis, Vernonia walshae, Vernonia timorensis, Vernonia tengwallii, Vernonia sumbavensis, Vernonia subtilis, Vernonia subdentata, Vernonia rupicola, Vernonia reinwardtiana, Vernonia pulgarensis, Vernonia phanerophlebia dulitensis, Vernonia phanerophlebia, Vernonia patentissima, Vernonia moluccensis, Vernonia mindanaensis, Vernonia luxuriosa, Vernonia lancifolia, Vernonia lamii, Vernonia kabaensis, Vernonia junghuhniana, Vernonia glandulifolia, Vernonia forbesii, Vernonia fimbrillata, Vernonia elmeri, Vernonia durifolia, Vernonia cymosa teysmanniana, Vernonia cymosa tenggerensis, Vernonia cymosa incana, Vernonia cymosa eupatorioides, Vernonia cymosa, Vernonia coerulea glabrata, Vernonia coerulea, Vernonia cinerea obtusa, Vernonia bontocensis, Vernonia benguetensis, Vernonia apoensis, Vernonia amboinensis, Vernonia albifolia, Vernonia actaea, Tarlmounia elliptica, Struchium sparganophorum, Strobocalyx vidalii, Strobocalyx solanifolia, Strobocalyx arborea, Stokesia laevis, Rolandra fruticosa, Pseudelephantopus spicatus, Phyllocephalum frutescens, Vernonia curtisii, Koyamasia curtisii, Gymnanthemum grande, Gymnanthemum coloratum, Ethulia triflora, Ethulia megacephala, Ethulia luzonica, Ethulia conyzoides, Elephantopus tomentosus, Elephantopus scaber, Elephantopus mollis, Decaneuropsis vagans, Decaneuropsis philippinensis, Decaneuropsis obovata, Decaneuropsis cumingiana, Decaneuropsis blanda, Cyanthillium patulum, Cyanthillium montanum, Cyanthillium cinereum parviflorum, Cyanthillium cinereum linifolium, Cyanthillium cinereum lanatum, Cyanthillium maritimum, Cyanthillium conyzoides, Cyanthillium cinereum, Centratherum punctatum)"
 ]
}

 The dataset's 72 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6mr659tkz2
title: MonteCarlo_Sobol_Analysis_Code

description: This file contains the Python code used to implement the Monte Carlo simulations (20,000 iterations) and the Sobol sensitivity analysis for the carbon footprint assessment.
DOI: 10.17632/6mr659tkz2.1
title: MonteCarlo_Sobol_Analysis_Code

description: This file contains the Python code used to implement the Monte Carlo simulations (20,000 iterations) and the Sobol sensitivity analysis for the carbon footprint assessment.
DOI: 10.17632/rp6382tw47
title: CF_OnlineMultiplayerGames_ParametersAndCalculations

description: This dataset contains all input parameters and intermediate calculations used to estimate the 2024 carbon footprint of the online multiplayer games Counter-Strike and Dota 2.
DOI: 10.17632/rp6382tw47.1
title: CF_OnlineMultiplayerGames_ParametersAndCalculations

description: This dataset contains all input parameters and intermediate calculations used to estimate the 2024 carbon footprint of the online multiplayer games Counter-Strike and Dota 2.
DOI: 10.17632/xhdkmnxmrd
title: Does Forthcomingness Matter

description: This data summarizes results of an experiment with regard to manager reporting credibility for different investor types. The results summarize whether short-horizon investors differ from long-horizon investors in their sensitivity to truthful disclosure regarding negative earnings news.
DOI: 10.6084/m9.figshare.30819605
title: Supplementary Data Tables from Partner cues and individual variation underlie sex-reversed parental care in poison frogs

description: Tables S8-19
DOI: 10.6084/m9.figshare.30819605.v1
title: Supplementary Data Tables from Partner cues and individual variation underlie sex-reversed parental care in poison frogs

description: Tables S8-19
DOI: 10.17632/xhdkmnxmrd.5
title: Does Forthcomingness Matter

description: This data summarizes results of an experiment with regard to manager reporting credibility for different investor types. The results summarize whether short-horizon investors differ from long-horizon investors in their sensitivity to truthful disclosure regarding negative earnings news.
DOI: 10.17632/v9mf6gsk27
title: Annexes

description: Tomato plant metabolomics LC-MS analysis.
DOI: 10.17632/v9mf6gsk27.1
title: Annexes

description: Tomato plant metabolomics LC-MS analysis.
DOI: 10.15468/dl.gm9atb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bylgides acutisetis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037341-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrapu2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((119.402 -1.088818, 119.331724 -1.094384, 119.263178 -1.110945, 119.198048 -1.138094, 119.137938 -1.175162, 119.084328 -1.221237, 119.038536 -1.275185, 119.00169 -1.335678, 118.974699 -1.401226, 118.958227 -1.470217, 118.952681 -1.540952, 118.958198 -1.61169, 118.974643 -1.680687, 119.001614 -1.746246, 119.038446 -1.806752, 119.084233 -1.860715, 119.137848 -1.906804, 119.197972 -1.943885, 119.263122 -1.971044, 119.331695 -1.987612, 119.402 -1.99318, 119.472305 -1.987612, 119.540878 -1.971044, 119.606028 -1.943885, 119.666152 -1.906804, 119.719767 -1.860715, 119.765554 -1.806752, 119.802386 -1.746246, 119.829357 -1.680687, 119.845802 -1.61169, 119.851319 -1.540952, 119.845773 -1.470217, 119.829301 -1.401226, 119.80231 -1.335678, 119.765464 -1.275185, 119.719672 -1.221237, 119.666062 -1.175162, 119.605952 -1.138094, 119.540822 -1.110945, 119.472276 -1.094384, 119.402 -1.088818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037342-251120083545085/datasets/export for details.
DOI: 10.15468/dl.drbh9f
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Smutsia temminckii",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 170 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037343-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jgwg6
title: Occurrence Download

description: A dataset containing 82479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Numenius madagascariensis"
 ]
}

 The dataset includes 82479 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037285-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f9dyc2pjbr
title: Application of Optical Reflecting Prism for Better Ergonomics Posture in Dermatologic Surgery.

description: This video demonstrates our innovative technique using a clip-on optical reflecting prism during dermatologic surgery. By redirecting the wearer's line of sight through optical principles, the prism eliminates the need for the surgeon to bend the neck downward when directly viewing the inferior surgical field. Instead, it was able to clearly observe the anteroinferior visual field while maintaining a neutral frontal head position in direct line of sight. This simple and ergonomic intervention is effective in reducing stress on the neck musculoskeletal system and is expected to reduce the incidence of neck-related MSDS.
DOI: 10.17632/f9dyc2pjbr.1
title: Application of Optical Reflecting Prism for Better Ergonomics Posture in Dermatologic Surgery.

description: This video demonstrates our innovative technique using a clip-on optical reflecting prism during dermatologic surgery. By redirecting the wearer's line of sight through optical principles, the prism eliminates the need for the surgeon to bend the neck downward when directly viewing the inferior surgical field. Instead, it was able to clearly observe the anteroinferior visual field while maintaining a neutral frontal head position in direct line of sight. This simple and ergonomic intervention is effective in reducing stress on the neck musculoskeletal system and is expected to reduce the incidence of neck-related MSDS.
DOI: 10.17632/vkjwwb8zsh.1
title: Binhai/BH-CPTU/10-44

description: The Binhai/BH-CPTU/10-44 database compiles 44 CPTU soundings, 10 borehole records, and associated laboratory test results from the Binhainan offshore wind farm in the Yellow Sea.
DOI: 10.17632/nxvj976x3f
title: Annexes

description: Tomato plant metabolomics GS-MS analysis.
DOI: 10.17632/nxvj976x3f.1
title: Annexes

description: Tomato plant metabolomics GS-MS analysis.
DOI: 10.17632/88p32wtcrb
title: Annexes

description: Essential oils composition identified by GC-MS Analysis.
DOI: 10.17632/88p32wtcrb.1
title: Annexes

description: Essential oils composition identified by GC-MS Analysis.
DOI: 10.17632/rw7f6h27t6
title: The Effect of Fiber Type and Usage Ratio on the Physical, Mechanical, and Microstructural Properties of Low Molarity Ceramic Waste Powder Based Geopolymer Composites

description: Unit weight, Water absorption, Void ratio, Ultrasonic pulse velocity (UPV), Abrasion, Toughness, Flexural strength (FS), Compressive strength (CS), High temperature, Freeze-thaw cycles test Results
DOI: 10.17632/rw7f6h27t6.1
title: The Effect of Fiber Type and Usage Ratio on the Physical, Mechanical, and Microstructural Properties of Low Molarity Ceramic Waste Powder Based Geopolymer Composites

description: Unit weight, Water absorption, Void ratio, Ultrasonic pulse velocity (UPV), Abrasion, Toughness, Flexural strength (FS), Compressive strength (CS), High temperature, Freeze-thaw cycles test Results
DOI: 10.17632/nbmys7wnm2
title: OPINAR: A Multi-Source Arabic Opinion Dataset with Keywords, 2004–2025

description: OPINAR is a large-scale Arabic opinion-article dataset covering 2004–2025, containing 280,890 articles, approximately X million tokens, and Y million unique word types, collected from 85 news websites across 21 countries (15 Arab and 6 non-Arab). Sources were selected primarily for providing keyword metadata. Each article includes publication date, source, ownership country, keywords/topics when available, and source URL.

OPINAR is a large-scale Arabic opinion-article dataset covering 2004–2025, containing 280,885 articles, approximately 181 million tokens, and 3.1 million unique word types, collected from 84 news websites across 22 countries (16 Arab and 6 non-Arab). Sources were selected primarily for providing keyword metadata. Each article includes publication date, source, ownership country, keywords/topics when available, and source URL.

The dataset is organized hierarchically by country → source → year → month, and each article is assigned a unique global identifier (OPN_XXXXXXXX). OPINAR supports research in opinion mining, sentiment analysis, discourse analysis, media studies, and Arabic NLP, offering extensive multi-source opinion content with transparent metadata.
DOI: 10.17632/nbmys7wnm2.1
title: OPINAR: A Multi-Source Arabic Opinion Dataset with Keywords, 2004–2025

description: OPINAR is a large-scale Arabic opinion-article dataset covering 2004–2025, containing 280,890 articles, approximately X million tokens, and Y million unique word types, collected from 85 news websites across 21 countries (15 Arab and 6 non-Arab). Sources were selected primarily for providing keyword metadata. Each article includes publication date, source, ownership country, keywords/topics when available, and source URL.

OPINAR is a large-scale Arabic opinion-article dataset covering 2004–2025, containing 280,885 articles, approximately 181 million tokens, and 3.1 million unique word types, collected from 84 news websites across 22 countries (16 Arab and 6 non-Arab). Sources were selected primarily for providing keyword metadata. Each article includes publication date, source, ownership country, keywords/topics when available, and source URL.

The dataset is organized hierarchically by country → source → year → month, and each article is assigned a unique global identifier (OPN_XXXXXXXX). OPINAR supports research in opinion mining, sentiment analysis, discourse analysis, media studies, and Arabic NLP, offering extensive multi-source opinion content with transparent metadata.
DOI: 10.17632/nry4p7yy8k
title: Narrowly and Broadly Tuned Peripheral Gustatory Neurons Cooperate to Encode Three Behaviorally Relevant Stimulus Categories

description: Peripheral taste neurons vary in tuning breadth, some respond selectively to a single stimulus (narrowly tuned) and others respond to multiple stimuli (broadly tuned). How these differences contribute to taste coding remains unclear. We recorded calcium responses from 280 geniculate ganglion neurons in response to five or seven taste stimuli. Using five stimuli, 47% of neurons were narrowly tuned, while 53% responded to multiple stimuli. Hierarchical cluster analysis revealed five functional groups with five stimuli and six with seven stimuli, suggesting cluster number depends on the stimulus set rather than intrinsic neuron types. However, principal component analysis (PCA) revealed three consistent stimulus categories: (1) bitter, sour, and non-sodium salts (aversive), (2) sucrose and umami (caloric/appetitive), and (3) sodium salts (sodium-specific). Both narrowly tuned neurons and those broadly tuned within a single category contributed to this categorization. In contrast, 40% of neurons were broadly tuned across categories and did not cluster with specific stimulus types. These cross-category neurons were more likely to exhibit mixture suppression—lower than additive responses to stimulus combinations—suggesting they could have a distinct role in encoding intensity or chemical context. Lastly, we show Type II taste bud cells are required for representing these categories and mediating mixture suppression between sweet and sour stimuli. These results suggest peripheral gustatory neurons primarily function to categorize stimuli based on into three groups, rather than five basic taste qualities. Furthermore, differing roles for narrowly tuned and broadly tuned neurons may be a key organizing principle of peripheral taste coding.
DOI: 10.17632/nry4p7yy8k.1
title: Narrowly and Broadly Tuned Peripheral Gustatory Neurons Cooperate to Encode Three Behaviorally Relevant Stimulus Categories

description: Peripheral taste neurons vary in tuning breadth, some respond selectively to a single stimulus (narrowly tuned) and others respond to multiple stimuli (broadly tuned). How these differences contribute to taste coding remains unclear. We recorded calcium responses from 280 geniculate ganglion neurons in response to five or seven taste stimuli. Using five stimuli, 47% of neurons were narrowly tuned, while 53% responded to multiple stimuli. Hierarchical cluster analysis revealed five functional groups with five stimuli and six with seven stimuli, suggesting cluster number depends on the stimulus set rather than intrinsic neuron types. However, principal component analysis (PCA) revealed three consistent stimulus categories: (1) bitter, sour, and non-sodium salts (aversive), (2) sucrose and umami (caloric/appetitive), and (3) sodium salts (sodium-specific). Both narrowly tuned neurons and those broadly tuned within a single category contributed to this categorization. In contrast, 40% of neurons were broadly tuned across categories and did not cluster with specific stimulus types. These cross-category neurons were more likely to exhibit mixture suppression—lower than additive responses to stimulus combinations—suggesting they could have a distinct role in encoding intensity or chemical context. Lastly, we show Type II taste bud cells are required for representing these categories and mediating mixture suppression between sweet and sour stimuli. These results suggest peripheral gustatory neurons primarily function to categorize stimuli based on into three groups, rather than five basic taste qualities. Furthermore, differing roles for narrowly tuned and broadly tuned neurons may be a key organizing principle of peripheral taste coding.
DOI: 10.17632/rjft6srb6z
title: Reference Data for "Towards maritime transport decarbonisation in developing countries: A systematic literature review"

description: This dataset supports the systematic literature review (SLR) entitled "Towards maritime transport decarbonisation in developing countries: A systematic literature review" It includes two files:

SLR Reference - Selected Studies.xml — an EndNote-compatible XML file containing the 55 studies that were selected for full review and synthesis. These references represent peer-reviewed publications relevant to maritime decarbonisation in the context of developing countries, retrieved and curated according to the Critical Appraisal Skills Programme.

Retrieved Literature from Protocol-Driven Search - No Duplicates.csv — a CSV file listing all 787 records, excluding duplicates, initially retrieved through the protocol-driven database search. The search was conducted across four scholarly databases: Scopus, Web of Science, ProQuest, and Compendex, using structured keyword combinations and Boolean operators. The file includes bibliographic metadata such as titles, authors, sources, abstracts (where available), and source database identifiers.

These files allow full transparency and reproducibility of the literature selection process and co-occurence mapping using the VosViewer application. No proprietary or full-text content is included—only bibliographic metadata.
DOI: 10.17632/rjft6srb6z.3
title: Reference Data for "Towards maritime transport decarbonisation in developing countries: A systematic literature review"

description: This dataset supports the systematic literature review (SLR) entitled "Towards maritime transport decarbonisation in developing countries: A systematic literature review" It includes two files:

SLR Reference - Selected Studies.xml — an EndNote-compatible XML file containing the 55 studies that were selected for full review and synthesis. These references represent peer-reviewed publications relevant to maritime decarbonisation in the context of developing countries, retrieved and curated according to the Critical Appraisal Skills Programme.

Retrieved Literature from Protocol-Driven Search - No Duplicates.csv — a CSV file listing all 787 records, excluding duplicates, initially retrieved through the protocol-driven database search. The search was conducted across four scholarly databases: Scopus, Web of Science, ProQuest, and Compendex, using structured keyword combinations and Boolean operators. The file includes bibliographic metadata such as titles, authors, sources, abstracts (where available), and source database identifiers.

These files allow full transparency and reproducibility of the literature selection process and co-occurence mapping using the VosViewer application. No proprietary or full-text content is included—only bibliographic metadata.
DOI: 10.5523/bris.md1upto2lx8x2u1iu64x2k9sz
title: Chronic and acute modulator treatment restore wild-type-like activity and stability to the primary cystic fibrosis-causing CFTR variant
title: Elexacaftor-tezacaftor-ivacaftor restores activity and stability to F508del-CFTR

description: This is the data set for a manuscript reporting the action of elexacaftor-tezacaftor-ivacaftor on the channel function of the predominant cystic fibrosis-causing CFTR variant F508del-CFTR.
DOI: 10.17632/ygzg4rdxs8
title: ComposiLator

description: This repository contains all datasets and Python source code used to develop, train, and validate ComposiLator, a hybrid AI–mechanistic framework for experiment-free prediction of elastic, shear, and bulk moduli of polymer composites. It includes literature-derived experimental data, descriptor files, preprocessing scripts, and the full prediction workflow accompanying the associated manuscript. A few shear and bulk moduli in this dataset were calculated from reported Young’s modulus and Poisson’s ratio using standard isotropic elasticity relations.