cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cgrzvk5dmt
title: Evaluation of the Value Network Reference Model in 48 small restaurants in Bogotá (survey results)

description: This dataset shows the primary data obtained through the application of the Value Network Reference Model (VNRM) [1] survey in 48 small restaurants in Bogotá. This model allows determining the Value Network Level as a measure of business competitiveness in supply chain environments. The VNRM survey consists of 121 questions categorized on a five (5) point Likert scale. From these primary data, a neural network model was defined and trained to predict this indicator directly from the seven (7) most significant predictors.
[1] J. A. Acevedo-Suárez et al., "Integrated supply chain management model," Anales de la Academia de Ciencias de Cuba, Article vol. 5, no. 3, 2015. https://www.scopus.com/inward/record.uri?eid=2-s2.0- 5197238723&partnerID=40&md5=b41fedcad504df014852eba440a9dbb7
DOI: 10.17632/cgrzvk5dmt.3
title: Evaluation of the Value Network Reference Model in 48 small restaurants in Bogotá (survey results)

description: This dataset shows the primary data obtained through the application of the Value Network Reference Model (VNRM) [1] survey in 48 small restaurants in Bogotá. This model allows determining the Value Network Level as a measure of business competitiveness in supply chain environments. The VNRM survey consists of 121 questions categorized on a five (5) point Likert scale. From these primary data, a neural network model was defined and trained to predict this indicator directly from the seven (7) most significant predictors.
[1] J. A. Acevedo-Suárez et al., "Integrated supply chain management model," Anales de la Academia de Ciencias de Cuba, Article vol. 5, no. 3, 2015. https://www.scopus.com/inward/record.uri?eid=2-s2.0- 5197238723&partnerID=40&md5=b41fedcad504df014852eba440a9dbb7
DOI: 10.17632/xvwm4f2wgs
title: Supplementary Materials

description: This is the supplementary material for the paper titled "Global Burden and Persistent Inequalities of Oral Conditions: A GBD 2021 Analysis"
DOI: 10.5281/zenodo.17454525
title: Dataset for "Minimizing aviation lighting duration reduces bat attraction to wind turbines"

description: Data used in the study "Minimizing aviation lighting duration reduces bat attraction to wind turbines" (Larnoy et al., 2025).

 

ID = ID attributed to the observation (i.e., one site sampled one night);

site = ID attributed to the sampling site;

night = date of the sampling (DD/MM/YYYY);

data = sampling in open habitats at the base of the turbines (OH-10m) or at wooded edges between 150 and 300 meters from the nearest wind turbine (WH-250m);

triplet = ID attributed to the triplet (three sampling sites monitored simulateously with minimized variations in surrounding landscape and wind turbine characteristics); 

WT_lighting_modality = sampling site near a wind turbine illuminated throughout the night (Constant_WT), near a wind turbine partially illuminated (ADLS_WT) or without a wind turbine within a radius of 2 km (control); 

SM4 = ID attributed to the recorder; 

wind_farm = ID attributed to the studied wind farm; 

ID_nearest_WT = ID attributed to the nearest wind turbine;

Field 10 to 105 = Number of bat passes for each taxon and guild (_tot suffix = all bat passes, _05 suffix = only bat passes with a automatic identification confidence score > 0.5, _09 suffix = only bat passes with a automatic identification confidence score > 0.9);

Field 106 to 138 = Proportion (in %) of habitat type (arable_land, forest, grasslands, water, urban), length of hedgerows or forest edge (hedgerow_length or forest_edge_length), density of hedgerows or forest edge (hedgerow_length_density or forest_edge_density) and number of total wind turbines or wind turbine illuminated throughout the night (WT or constant_WT), computed in a buffer around the site (_200 suffix = 200m radius buffer, _500 suffix = 500m radius buffer, _1000 suffix = 1000m radius buffer);

Field 139 to 147 = Distance (in meters) to the nearest landscape feature or habitat type.
DOI: 10.5281/zenodo.17454526
title: Dataset for "Minimizing aviation lighting duration reduces bat attraction to wind turbines"

description: Data used in the study "Minimizing aviation lighting duration reduces bat attraction to wind turbines" (Larnoy et al., 2025).

 

ID = ID attributed to the observation (i.e., one site sampled one night);

site = ID attributed to the sampling site;

night = date of the sampling (DD/MM/YYYY);

data = sampling in open habitats at the base of the turbines (OH-10m) or at wooded edges between 150 and 300 meters from the nearest wind turbine (WH-250m);

triplet = ID attributed to the triplet (three sampling sites monitored simulateously with minimized variations in surrounding landscape and wind turbine characteristics); 

WT_lighting_modality = sampling site near a wind turbine illuminated throughout the night (Constant_WT), near a wind turbine partially illuminated (ADLS_WT) or without a wind turbine within a radius of 2 km (control); 

SM4 = ID attributed to the recorder; 

wind_farm = ID attributed to the studied wind farm; 

ID_nearest_WT = ID attributed to the nearest wind turbine;

Field 10 to 105 = Number of bat passes for each taxon and guild (_tot suffix = all bat passes, _05 suffix = only bat passes with a automatic identification confidence score > 0.5, _09 suffix = only bat passes with a automatic identification confidence score > 0.9);

Field 106 to 138 = Proportion (in %) of habitat type (arable_land, forest, grasslands, water, urban), length of hedgerows or forest edge (hedgerow_length or forest_edge_length), density of hedgerows or forest edge (hedgerow_length_density or forest_edge_density) and number of total wind turbines or wind turbine illuminated throughout the night (WT or constant_WT), computed in a buffer around the site (_200 suffix = 200m radius buffer, _500 suffix = 500m radius buffer, _1000 suffix = 1000m radius buffer);

Field 139 to 147 = Distance (in meters) to the nearest landscape feature or habitat type.
DOI: 10.17632/xvwm4f2wgs.1
title: Supplementary Materials

description: This is the supplementary material for the paper titled "Global Burden and Persistent Inequalities of Oral Conditions: A GBD 2021 Analysis"
DOI: 10.17632/wm7f7zc9yj
title: Effects of Crumb Rubber Leachate across Ecosystems

description: Created one leachate for planaria and worms. Using the same rubber crumbs, made another leachate for marine dinoflagellates. Measured a number of biological outcomes
DOI: 10.17632/wm7f7zc9yj.1
title: Effects of Crumb Rubber Leachate across Ecosystems

description: Created one leachate for planaria and worms. Using the same rubber crumbs, made another leachate for marine dinoflagellates. Measured a number of biological outcomes
DOI: 10.15468/dl.aas9fd
title: Occurrence Download

description: A dataset containing 316774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Quercus muehlenbergii Engelm., Quercus muehlenbergii Engelm., Quercus nigra L., Quercus palustris Münchh., Quercus phellos L., Quercus rubra L., Quercus shumardii Buckley, Quercus stellata Wangenh., Quercus velutina Lam., Quercus virginiana Mill., Quercus minima (Sarg.) Small, Sassafras albidum (Nutt.) Nees, Ulmus americana L., Ulmus americana L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Literature Occurrence)",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Specimen, Fossil)"
 ]
 }
 },
 "Country is one of (United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1995"
 ]
}

 The dataset includes 316774 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006725-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kgcvfv63h2
title: Jackfruit Leaf Disease Image Dataset: Four-Class Classification (Burn, Healthy, Red Rust, and Spot)

description: This is the JackfruitVision Dataset, a comprehensive collection of 9,949 annotated images of jackfruit leaves and trees for machine learning-based disease detection. The dataset is organized into four distinct categories: Healthy Leaf, Red Rust (caused by Cephaleuros sp.), Spot Disease (caused by multiple fungi including Colletotrichum orbiculare) and burn.

The collection includes an Original Set (approximately 2,020 images) and an Augmented Set (approximately 8,340 files) of resized images, making it immediately suitable for Deep Learning, Computer Vision, and transfer learning tasks like automated disease classification and image segmentation in agricultural AI applications.

Dataset BreakDown:
Original dataset:

- burn leaf: 547 files
- healthy leaf: 443 files
- red rust: 503 files
- spot: 569 files

Augmented Data

- burn resize: 2188 files
- healthy resize: 1748 files
- red rust resize: 2012 files
- spot resize: 2392 files
DOI: 10.17632/kgcvfv63h2.3
title: Jackfruit Leaf Disease Image Dataset: Four-Class Classification (Burn, Healthy, Red Rust, and Spot)

description: This is the JackfruitVision Dataset, a comprehensive collection of 9,949 annotated images of jackfruit leaves and trees for machine learning-based disease detection. The dataset is organized into four distinct categories: Healthy Leaf, Red Rust (caused by Cephaleuros sp.), Spot Disease (caused by multiple fungi including Colletotrichum orbiculare) and burn.

The collection includes an Original Set (approximately 2,020 images) and an Augmented Set (approximately 8,340 files) of resized images, making it immediately suitable for Deep Learning, Computer Vision, and transfer learning tasks like automated disease classification and image segmentation in agricultural AI applications.

Dataset BreakDown:
Original dataset:

- burn leaf: 547 files
- healthy leaf: 443 files
- red rust: 503 files
- spot: 569 files

Augmented Data

- burn resize: 2188 files
- healthy resize: 1748 files
- red rust resize: 2012 files
- spot resize: 2392 files
DOI: 10.17632/xz3tmfj7tz.2
title: Real-world evaluation of bimekizumab in patients with moderate-to-severe hidradenitis suppurativa: A nationwide retrospective cohort study on behalf of the HS-SIDeMaST task force - Supplementary Materials

description: Supplementary material
Supplementary Material 1: Statistical methods
Supplementary Material 2 - Table 1: Data stratified according to bimekizumab dose regimen
Supplementary Material 3 - Table 2: Data stratified according to bimekizumab bio-naïve status
Supplementary Material 4 - Figure 1: A 67-year-old woman with long-standing hidradenitis suppurativa, refractory to adalimumab, was switched to bimekizumab. (A) (C) show the baseline clinical presentation prior to bimekizumab initiation, with numerous draining fistulous lesions and severe skin pain. (B) (D) demonstrate the marked clinical improvement achieved after 36 weeks of treatment, characterised by a substantial reduction in purulent discharge and an overall improvement in patient-reported quality of life scores.
DOI: 10.13020/y9hn-0v73
title: Data for the Analysis of Rdr6 ('Morden Blush' x G168-2) via Linkage Analysis and BSA-seq

description: The data and scripts presented here represents the process for creating a linkage map and mapping rose a black spot resistance quantitative trait locus in a tetraploid garden rose population. Included are the raw data files (.CEL, zipped folder) from genotyping via the rose WagRhSNP 68k Axiom Array. The scripts (.R) included are for filtering, linkage map construction, and locus mapping. Additional data files include the required input and output files from each mapping step, the phenotyping file used for linkage analysis and the gene mining file (both as .csv). Also included are the .sh script and additional materials for marker filtering. Finally, raw data files for BSA-seq are included for the BSA-seq analysis presented in the manuscript. This data is released due to the publishing of a manuscript detailing the work using this data.
description: See README file for more information. 
Files included are: 
Raw data files from the 68k Rose WagRhSNP Axiom Array
Log file from Axiom Analysis Suite to repeat parameters from initial filtering
Marker filtration R project, necessary scripts, and files for examples
Necessary files and scripts for filtering using FitPoly
Map construction R project, necessary scripts, and files for examples
Locus mapping R project, necessary scripts, and files for examples
Gene mining files
DOI: 10.15468/dl.egs99d
title: Occurrence Download

description: A dataset containing 667033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Pseudotsuga macrocarpa (Vasey) Mayr, Pseudotsuga menziesii (Mirb.) Franco, Pseudotsuga menziesii (Mirb.) Franco, Taxodium distichum (L.) Rich., Thuja plicata Donn ex D.Don, Tsuga canadensis (L.) Carrière, Tsuga heterophylla (Raf.) Sarg., Tsuga mertensiana (Bong.) Carrière, Acer rubrum L., Acer saccharum Marshall, Ailanthus altissima (Mill.) Swingle, Ailanthus altissima (Mill.) Swingle, Betula papyrifera Marshall, Betula papyrifera Marshall, Fagus grandifolia Ehrh., Fraxinus americana L., Fraxinus latifolia Benth., Fraxinus nigra Marshall, Fraxinus pennsylvanica Marshall, Fraxinus pennsylvanica Marshall, Fraxinus profunda (Bush) Bush, Fraxinus quadrangulata Michx., Fraxinus velutina Torr., Fraxinus caroliniana Mill., Persea borbonia (L.) Spreng., Populus balsamifera L., Populus deltoides W.Bartram ex Marshall, Populus deltoides W.Bartram ex Marshall, Populus grandidentata Michx., Populus tremuloides Michx., Populus tremuloides Michx., Populus balsamifera L., Populus fremontii S.Watson, Populus angustifolia E.James, Prunus serotina Ehrh., Quercus agrifolia Née, Quercus alba L., Quercus bicolor Willd., Quercus chrysolepis Liebm., Quercus coccinea Münchh., Quercus ellipsoidalis E.J.Hill, Quercus falcata Michx., Quercus imbricaria Michx., Quercus kelloggii Newb., Quercus laevis Walter, Quercus laurifolia Michx., Quercus lyrata Walter, Quercus macrocarpa Michx., Quercus marilandica (L.) Münchh., Quercus michauxii Nutt.)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Literature Occurrence)",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Specimen, Fossil)"
 ]
 }
 },
 "Country is one of (United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1995"
 ]
}

 The dataset includes 667033 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006723-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17458240
title: IODP Expedition 317 Section-half images

description: Digital section images were taken of the flat face of split cores on the Section Half Imaging Logger (SHIL) using a linescan camera at a resolution of 20 lines/mm (50 micron pixels). Cores were imaged as soon as possible after splitting to minimize color changes that occur through oxidation and drying. The SHIL produces TIF files as well as reduced-size JPG files. The TIF files are not kept online but users may request them from the IODP-JRSO Data Librarian.
DOI: 10.5281/zenodo.17477041
title: IODP Expedition 317 Section-half images

description: Digital section images were taken of the flat face of split cores on the Section Half Imaging Logger (SHIL) using a linescan camera at a resolution of 20 lines/mm (50 micron pixels). Cores were imaged as soon as possible after splitting to minimize color changes that occur through oxidation and drying. The SHIL produces TIF files as well as reduced-size JPG files. The TIF files are not kept online but users may request them from the IODP-JRSO Data Librarian.
DOI: 10.25625/o95f9s
title: Sensorimotor environment but not task rule reconfigures population dynamics in rhesus monkey posterior parietal cortex

description: The dataset consists of several hundred single-neuron recordings from multiple rhesus monkeys performing visually guided reaching tasks. It was designed to test whether changes in the environment (sensorimotor feedback) and changes in abstract rule context engage shared or distinct population-level neural mechanisms in the PPC. Detailed Information about the data fields in this publication: DovePrism_: numT: number of trials, matrix of size unit*condition psthTT: trial-by-trial psth, cell of size unit*condition, in each cell, trial*time psthTA: trial-averaged psth, matrix of size unit*time*condition sequence of task conditions: normal left, normal right, prism left, prism right Prism+Anti_: same as DovePrism_ sequence of task conditions: normal pro left, normal pro right, prism pro left, prism pro right, normal anti left, normal anti right, prism anti left, prism anti right PA_: numT: number of trials, matrix of size unit*direction*mapping*cuing psthTT: trial-by-trial psth, cell of size unit*direction*mapping*cuing, in each cell, trial*time psthTA: trial-averaged psth, matrix of size unit*time*direction*mapping*cuing sequence of direction: left right up down sequence of mapping: pro anti sequence of cuing: ECES LCLS ECLS LCES _g20psth datasets: bin: 10 ms kernel: 20 ms The analysis time window is [-800 800] ms aligned to onset of the visual cue. _g50psth datasets: bin: 10 ms kernel: 50 ms The analysis time window is [-200 800] ms aligned to onset of the visual cue.
DOI: 10.17632/8nd5dm446g
title: Examining (illicit) business practices of digital entrepreneurs in the ‘Uber-for-tractors’ network: Implications for Sustainability
DOI: 10.17632/8nd5dm446g.1
title: Examining (illicit) business practices of digital entrepreneurs in the ‘Uber-for-tractors’ network: Implications for Sustainability
DOI: 10.17632/5xm5hjssvc
title: Addressing Dermatological Conditions among Adolescents in Residential Schools

description: This study introduces validated tools for assessing and improving adolescent skin health management in resource-limited settings, showing that blended interventions can bridge knowledge gaps and enhance practices. It highlights the need for integrated approaches to support global adolescent well-being, particularly in underserved communities.
DOI: 10.17632/5xm5hjssvc.1
title: Addressing Dermatological Conditions among Adolescents in Residential Schools

description: This study introduces validated tools for assessing and improving adolescent skin health management in resource-limited settings, showing that blended interventions can bridge knowledge gaps and enhance practices. It highlights the need for integrated approaches to support global adolescent well-being, particularly in underserved communities.
DOI: 10.18144/fa8480d0-c8d2-43c1-8635-7f7745406dc2
title: Données traitées de sismique réflexion 2D - campagne 24IDF du programme Géoscan Île-de-France

description: Résultats du traitement de la campagne de sismique réflexion 2D 24IDF dans le cadre du programme d'exploration des ressources géothermales profonde de l'ouest et du sud de l'Île-de-France (Géoscan IDF). Le jeu de données est composé des stacks (PSTM brut _PSTM_Stack_Raw.segy et après traitement _Stack_PostStackProcessing-TraceBalance.segy), du modèle de vitesses (_migr_PSTM_vel_field_datum.segy) pour l'ensemble des lignes traitées, d'un shapefile des positions des sources et récepteurs et du rapport décrivant le processus de traitement mis en place.
La campagne 24IDF comprend 8 lignes 2D pour un total de 280 km de linéaire. Elle a été réalisée par des camions vibreurs de type Thomas 65, avec un balayage aléatoire de 48 sec, une vibration tous les 10 mètres et des capteurs positionnées tous les 20 mètres. La fréquence du sweep est entre 2 et 96 Hz

Le jeu de données est composé des lignes suivantes : 24IDF-001, 24IDF-002, 24IDF-003, 24IDF-004, 24IDF-005, 24IDF-006, 24IDF-007, 24IDF-008
DOI: 10.17866/rd.salford.30136501
title: 1. <i>Oden</i> - 300 Word Statement

description: This 300 word statement outlines the multi-component collection: '<i>Oden:</i> <i>Composing with the Landscape - Strategies for Achieving Integration, Multimodal Perception, Intimacy, and Immersion'</i>. The document introduces the practice-based research project, including research questions and findings.
DOI: 10.17866/rd.salford.30136501.v1
title: 1. <i>Oden</i> - 300 Word Statement

description: This 300 word statement outlines the multi-component collection: '<i>Oden:</i> <i>Composing with the Landscape - Strategies for Achieving Integration, Multimodal Perception, Intimacy, and Immersion'</i>. The document introduces the practice-based research project, including research questions and findings.
DOI: 10.17632/cyhhvb4gd8
title: Entrepreneurial Orientation RAC

description: A survey of 155 SMEs operating in the state of Rio de Janeiro, regarding entrepreneurial orientation, performance, and innovation.
DOI: 10.17632/cyhhvb4gd8.2
title: Entrepreneurial Orientation RAC

description: A survey of 155 SMEs operating in the state of Rio de Janeiro, regarding entrepreneurial orientation, performance, and innovation.
DOI: 10.15468/dl.7dhu9r
title: Occurrence Download

description: A dataset containing 1296468335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "DecimalLatitude is greater than or equal to 15.0",
 "DecimalLatitude is less than or equal to 85.0",
 "DecimalLongitude is greater than or equal to -170.0",
 "DecimalLongitude is less than or equal to -50.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 }
 ]
}

 The dataset includes 1296468335 records from 481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4ptb8
title: Occurrence Download

description: A dataset containing 43578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pimephales promelas)"
 ]
}

 The dataset includes 43578 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062475-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmsneg
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sacciolepis leptorrhachis Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 100 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005398-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/cwjhvq
title: msXL_334v_22_66.tif
DOI: 10.25346/s6eecgix/uugmzc
title: msXL_334v_22_65.tif
DOI: 10.25346/s6eecgix/wizuyz
title: msXL_334v_22_64.tif
DOI: 10.25346/s6eecgix/kkh5cr
title: msXL_334v_22_63.tif
DOI: 10.25346/s6eecgix/o33lvb
title: msXL_334v_22_62.tif
DOI: 10.25346/s6eecgix/yfxk4i
title: msXL_334v_15_12.tif
DOI: 10.25346/s6eecgix/qjiip2
title: msXL_334v_15_11.tif
DOI: 10.25346/s6eecgix/dfg7ko
title: msXL_334v_15_10.tif
DOI: 10.25346/s6eecgix/3mw7gh
title: msXL_334v_15_09.tif
DOI: 10.25346/s6eecgix/yhgswq
title: msXL_334v_15_08.tif
DOI: 10.6084/m9.figshare.30334252.v9
title: Federal University Dutsin-Ma,2025/2026 1st And 2nd Batch Admission List Is Out Now Call Admin Office Call 09024168245, (09024168245) To Check And Further Admission Assistance Call +2349024168245.

description: Federal University Dutsin-Ma,2025/2026 1st And 2nd Batch Admission List Is Out Now Call Admin Office Call 09024168245, (09024168245) To Check And Further Admission Assistance Call +2349024168245.
DOI: 10.25346/s6eecgix/xh3f42
title: msXL_334v_15_07.tif
DOI: 10.25346/s6eecgix/nqbvq7
title: msXL_334v_15_06.tif
DOI: 10.25346/s6eecgix/b3yava
title: msXL_334v_15_05.tif