cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r5ctmw7kmj
title: Iron_oxides_Luvisol

description: Manuscript databases "Genesis and characterization of pedogenic iron oxides from Chromic Luvisols from a Semiarid region (Pernanbuco State, Brazil)".
DOI: 10.17632/r5ctmw7kmj.1
title: Iron_oxides_Luvisol

description: Manuscript databases "Genesis and characterization of pedogenic iron oxides from Chromic Luvisols from a Semiarid region (Pernanbuco State, Brazil)".
DOI: 10.17632/5bzy89brkv.2
title: A Real-World Hibiscus and Tea Leaf Image Dataset for Classification

description: The Combined Hibiscus and Tea Leaf Image Dataset is a comprehensive and well-balanced collection comprising 1,413 original high-quality leaf images captured under natural outdoor conditions across various regions of Bangladesh using a SONY α7 II DSLR camera and a OnePlus 7T smartphone. The dataset includes two major plant species—Hibiscus and Tea—and aims to facilitate research in plant disease detection, agricultural image analysis, and computer vision–based crop health monitoring. The Hibiscus subset consists of 1,165 images categorized into eight distinct classes: Healthy (473 images), Mild Edge Damage (226 images), Citruspot (150 images), Slightly Diseased (109 images), Early Mild Spotting (83 images), Wrinkled (56 images), Senescent (40 images), and Fungal Infected (28 images). The Tea subset contains 248 images divided into five disease categories: Algal Leaf Spot (54 images), Brown Blight (48 images), Grey Blight (53 images), Healthy (49 images), and Red Leaf Spot (44 images). These class distributions capture a diverse range of leaf conditions, disease severities, and environmental variations, providing a realistic foundation for machine learning and deep learning applications. To overcome class imbalance and enrich the dataset, extensive image augmentation was performed using both PIL and OpenCV techniques, including brightness and contrast adjustment, color enhancement, rotation, flipping, scaling, cropping, shifting, zooming, and Gaussian noise addition. Through this process, each class was expanded to 1,000 images, resulting in a total of 13,000 augmented images evenly distributed across the 13 classes. All images are stored in .JPG format and organized into separate folders per class, maintaining a consistent structure and naming convention. Overall, this dataset offers a rich and diverse resource for developing robust models for leaf disease classification, precision agriculture, and automated plant health monitoring, making it a valuable contribution to the fields of computer vision and agricultural research.
DOI: 10.17632/x66jfgthxd
title: Instances and codes for "Dynamic Stochastic Parcel Locker Assignment with Uncertain Pick-Up Times"

description: Instances and codes for "Dynamic Stochastic Parcel Locker Assignment with Uncertain Pick-Up Times"
DOI: 10.15468/dl.c6hkjk
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex brachycalama"
 ]
}

 The dataset includes 55 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053939-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x66jfgthxd.1
title: Instances and codes for "Dynamic Stochastic Parcel Locker Assignment with Uncertain Pick-Up Times"

description: Instances and codes for "Dynamic Stochastic Parcel Locker Assignment with Uncertain Pick-Up Times"
DOI: 10.17632/hfnksntd5h
title: Three-Dimensional Assessment of Unerupted Mandibular Second Premolar using CBCT Technique

description: Purpose To assess unerupted mandibular second premolar (UMSP) position using CBCT technique.
Methods Thirty-four CBCT images of pediatric patients from the Egyptian population, ranging between 13- and 16-year-old, were included in this study. The CBCT images were assessed for the presence of unilateral or bilateral impaction, root resorption of adjacent teeth, root dilacerations, residual deciduous teeth, pathology incidence, type and depth of impaction, and distance relative to important anatomical structures. The collected data were statistically analyzed using SPSS v.23 at a p-value  0.05.
Results From the assessment of 45 unerupted mandibular second premolars featured important differences related to gender and age. Unilateral impactions were found to be more common in males (p = 0.022). Aspects such as root dilaceration with an angle greater than 45° (0.026), presence of pathological lesions (0.003), and retained primary teeth (0.03) have a greater incidence in the older age group. The relative three-dimensional positioning of UMSP indicated 46.7%, 31.1%, and 13.3% for disto-angular, vertical, and mesio-angular type, respectively. With respect to depth, 55.6% of cases were classified as severely deep from the bony crest. Proximity to critical structures ranked UMSP as follows; N3 (31.1%), followed by N2 (26.7%), N1 (22.2%), and N4 (20.0%).
Conclusion The identified percentage of unerupted mandibular second premolars was 1.59% with significant male predilection for unilateral impactions. Older age group (16-18 years), were more frequently associated with root dilaceration. Most UMSPs were disto-angular or vertical, with over half positioned at severe depth and nearly one-third in proximity to inferior alveolar canal.
DOI: 10.17632/hfnksntd5h.1
title: Three-Dimensional Assessment of Unerupted Mandibular Second Premolar using CBCT Technique

description: Purpose To assess unerupted mandibular second premolar (UMSP) position using CBCT technique.
Methods Thirty-four CBCT images of pediatric patients from the Egyptian population, ranging between 13- and 16-year-old, were included in this study. The CBCT images were assessed for the presence of unilateral or bilateral impaction, root resorption of adjacent teeth, root dilacerations, residual deciduous teeth, pathology incidence, type and depth of impaction, and distance relative to important anatomical structures. The collected data were statistically analyzed using SPSS v.23 at a p-value  0.05.
Results From the assessment of 45 unerupted mandibular second premolars featured important differences related to gender and age. Unilateral impactions were found to be more common in males (p = 0.022). Aspects such as root dilaceration with an angle greater than 45° (0.026), presence of pathological lesions (0.003), and retained primary teeth (0.03) have a greater incidence in the older age group. The relative three-dimensional positioning of UMSP indicated 46.7%, 31.1%, and 13.3% for disto-angular, vertical, and mesio-angular type, respectively. With respect to depth, 55.6% of cases were classified as severely deep from the bony crest. Proximity to critical structures ranked UMSP as follows; N3 (31.1%), followed by N2 (26.7%), N1 (22.2%), and N4 (20.0%).
Conclusion The identified percentage of unerupted mandibular second premolars was 1.59% with significant male predilection for unilateral impactions. Older age group (16-18 years), were more frequently associated with root dilaceration. Most UMSPs were disto-angular or vertical, with over half positioned at severe depth and nearly one-third in proximity to inferior alveolar canal.
DOI: 10.17632/s7g4yh37yz
title: Stakeholder Priorities for Sustaining Operations and Maintenance of School Sanitation Facilities in Kampala City, Uganda

description: Title: Stakeholders’ Prioritization of Operation and Maintenance Domains by AHP and Indicator Weights by SWING:
Description: This dataset presents the results of a participatory multi-criteria analysis conducted with 35 experts representing five stakeholder groups—researchers, regulators, practitioners, head teachers, and sanitation teachers. Using the Analytic Hierarchy Process (AHP) and SWING weighting method, participants prioritized six key domains and 33 indicators influencing the operation and maintenance (O&M) of school sanitation facilities in Kampala, Uganda. The Excel file contains three sheets: (i) Domain Weights by AHP Method, (ii) Indicator Weights by SWING, and (iii) Global Indicator Weights. The data support evidence-based decision-making for sustainable sanitation service delivery and can be used for comparative studies, framework calibration, or decision-support modeling in WASH system research. Key Words: School sanitation; Operation and maintenance; Analytic Hierarchy Process; SWING method; Sustainability. To maintain anonymity, participants were coded by stakeholder group and sequence number as follows: RG = Regulators, P = Practitioners , R= Researchers, HT = Head Teacher, ST = Sanitation Teachers. Each participant contributed weighting scores for the AHP and/or SWING exercises according to their professional perspective.
DOI: 10.17632/s7g4yh37yz.1
title: Stakeholder Priorities for Sustaining Operations and Maintenance of School Sanitation Facilities in Kampala City, Uganda

description: Title: Stakeholders’ Prioritization of Operation and Maintenance Domains by AHP and Indicator Weights by SWING:
Description: This dataset presents the results of a participatory multi-criteria analysis conducted with 35 experts representing five stakeholder groups—researchers, regulators, practitioners, head teachers, and sanitation teachers. Using the Analytic Hierarchy Process (AHP) and SWING weighting method, participants prioritized six key domains and 33 indicators influencing the operation and maintenance (O&M) of school sanitation facilities in Kampala, Uganda. The Excel file contains three sheets: (i) Domain Weights by AHP Method, (ii) Indicator Weights by SWING, and (iii) Global Indicator Weights. The data support evidence-based decision-making for sustainable sanitation service delivery and can be used for comparative studies, framework calibration, or decision-support modeling in WASH system research. Key Words: School sanitation; Operation and maintenance; Analytic Hierarchy Process; SWING method; Sustainability. To maintain anonymity, participants were coded by stakeholder group and sequence number as follows: RG = Regulators, P = Practitioners , R= Researchers, HT = Head Teacher, ST = Sanitation Teachers. Each participant contributed weighting scores for the AHP and/or SWING exercises according to their professional perspective.
DOI: 10.17632/j3bn63t4sp
title: SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part2)

description: Dataset Overview:
This dataset contains images of mango leaves collected from various mango orchards to aid in deep learning-based disease detection. The images have been categorized into healthy and diseased classes. The dataset aims to support research on plant disease detection, particularly for mango orchards.

This dataset is divided into two parts due to file size constraints. This dataset is Part-2 of the full dataset and contains additional images of mango leaves affected by various diseases.

🔗 Related Datasets:
👉 Part-1 Dataset doi: 10.17632/sd8hzpg69b.3 

Reference: Awoal, Robiul; Islam, Zubair; Sarower, Afjal (2025), “SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part1)”, Mendeley Data, V3, doi: 10.17632/sd8hzpg69b.4

Please ensure that both Part-1 & Part-2 are downloaded for full dataset access.
DOI: 10.17632/j3bn63t4sp.4
title: SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part2)

description: Dataset Overview:
This dataset contains images of mango leaves collected from various mango orchards to aid in deep learning-based disease detection. The images have been categorized into healthy and diseased classes. The dataset aims to support research on plant disease detection, particularly for mango orchards.

This dataset is divided into two parts due to file size constraints. This dataset is Part-2 of the full dataset and contains additional images of mango leaves affected by various diseases.

🔗 Related Datasets:
👉 Part-1 Dataset doi: 10.17632/sd8hzpg69b.3 

Reference: Awoal, Robiul; Islam, Zubair; Sarower, Afjal (2025), “SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part1)”, Mendeley Data, V3, doi: 10.17632/sd8hzpg69b.4

Please ensure that both Part-1 & Part-2 are downloaded for full dataset access.
DOI: 10.5281/zenodo.17204710
title: NN4NT EM64pr 20250811-13 Meteor Scatter QSO Party

description: NN4NT

Robert Suggs NN4NT

nn4nt@outlook.com

EM64pr

Transmit and Receive

Yaesu FTDX-101D, Elecraft KPA-500 amplifier

Hexbeam, 2 elements

10m

Also operated 6m. WAV files are separate submission
DOI: 10.5281/zenodo.17204711
title: NN4NT EM64pr 20250811-13 Meteor Scatter QSO Party

description: NN4NT

Robert Suggs NN4NT

nn4nt@outlook.com

EM64pr

Transmit and Receive

Yaesu FTDX-101D, Elecraft KPA-500 amplifier

Hexbeam, 2 elements

10m

Also operated 6m. WAV files are separate submission
DOI: 10.13140/rg.2.2.34450.72641
title: Ficha técnica AlProSos de fuentes de proteína regionales y sostenibles - Tenebrio
DOI: 10.15468/dl.n6w76c
title: Occurrence Download

description: A dataset containing 247973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "Year 2023-2025"
 ]
}

 The dataset includes 247973 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053917-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17204792
title: NN4SA EM64pp 20250812-13 Meteor Scatter QSO Party 6m

description: NN4NT

Robert Suggs NN4NT

nn4nt@outlook.com

EM64pr

Receive only on 6m

Elecraft K3

NA

6m squalo antenna

6m

10m data submitted separately
DOI: 10.5281/zenodo.17204793
title: NN4SA EM64pp 20250812-13 Meteor Scatter QSO Party 6m

description: NN4NT

Robert Suggs NN4NT

nn4nt@outlook.com

EM64pr

Receive only on 6m

Elecraft K3

NA

6m squalo antenna

6m

10m data submitted separately
DOI: 10.26023/xkzt-4ah9-370s
title: DC3: NASA DC-8 Humidified Dual Single Particle Soot Photometer (HD-SP2) Black Carbon (BC) Mass Detection and Hygroscopicity. Version 1.0

description: This data set contains NASA DC-8 Humidified Dual Single Particle Soot Photometer (HD-SP2) Black Carbon (BC) Mass detection and Hygroscopicity Data collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.5281/zenodo.17204627
title: NN4SA EM64pp 20250812-13 Meteor Scatter QSO Party 6m

description: NN4SA

Rob Suggs NN4NT

nn4nt@outlook.com

EM64pp

Transmit and Receive

Yaesu FTDX-10

100W,

5 element Yagi

6m
DOI: 10.5281/zenodo.17204628
title: NN4SA EM64pp 20250812-13 Meteor Scatter QSO Party 6m

description: NN4SA

Rob Suggs NN4NT

nn4nt@outlook.com

EM64pp

Transmit and Receive

Yaesu FTDX-10

100W,

5 element Yagi

6m
DOI: 10.15468/dl.k6yqtc
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etiella zinckenella",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 156 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053940-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238229v2
title: A Global Voting Advice Application for the US Election Aimed at Foreign Audiences

description: Billions of people outside of the US hold a vested interest in the outcome of US presidential elections, despite not being allowed to vote. We developed 9 Voting Advice Applications (VAAs) for the 2020 elections and 5 VAAs for the 2024 elections in partnership with leading newspapers across Europe, Asia, and Oceania. Across these two elections, the VAA tools offered 724,294 users from 187 countries an issue-based comparison with Biden and Trump in 2020, and with Trump and Harris in 2024. Users answered demographic questions, the issue statements, and additional attitudinal items. These issue statements covered both domestic topics and topics of the US’ foreign policy. The candidates’ positions were coded using robust primary and secondary sources on 29 (2020) and 62 (2024) issue statements. This deposit includes the candidates’ placement data as well as the user data generated by these VAAs, offering an unprecedented opportunity to analyze global perceptions of US politics and the election’s far-reaching influence on international relations.
description: It is highly advisable to consult the associated publication in Nature Scientific Data for a comprehensive explanation of the data collection procedures, measures, and analytical framework.
DOI: 10.15468/dl.5puw8r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Moenkhausia celibela, Otocinclus hoppei, Poecilia minor, Rineloricaria melini, Rineloricaria teffeana, Taeniacara candidi, Apionichthys asphyxiatus, Chaetobranchopsis orbicularis, Pimelodella steindachneri, Chilodus gracilis, Leporinus klausewitzi, Hyphessobrycon amaronensis, Hyphessobrycon oritoensis, Anablepsoides jucundus, Anablepsoides monticola, Platysilurus olallae, Anablepsoides derhami, Anablepsoides peruanus, Astyanax poetzschkei, Curimata inornata, Anadoras insculptus, Crenicara latruncularium, Centrodoras hasemani, Creagrutus tuyuka, Hemigrammus melanochrous, Hypostomus varimaculosus, Pseudacanthicus spinosus, Plectrochilus machadoi, Centrodoras brachiatus, Creagrutus runa, Liosomadoras oncinus, Hemigrammus coeruleus, Hemigrammus pretoensis, Hyphessobrycon melazonatus, Apteronotus macrolepis, Hypoptopoma bianale, Hyphessobrycon tukunai, Pterygoplichthys weberi, Hoplomyzon papillatus, Bryconamericus carlosi, Farlowella gracilis, Tahuantinsuyoa chipi, Bryconamericus macrophthalmus, Ancistrus dubius, Hypopygus benoneae, Loricaria pumila, Gymnotus capanema, Pariosternarchus amazonensis, Propimelodus eigenmanni, Roeboides oligistos, Myloplus arnoldi, Lycengraulis figueiredoi, Microglanis lundbergi, Leporinus arimaspi, Eleotris macrolepis, Andeancistrus eschwartzae, Ompok karunkodu, Heteropneustes longipectoralis, Ancistrus amaris, Characidium borellii, Trichomycterus oroyae, Cordylancistrus setosus, Astroblepus prenadillus, Astroblepus cajamarcaensis, Astroblepus chinchaoensis, Astroblepus floridaensis, Astroblepus hidalgoi, Astroblepus huallagaensis, Astroblepus moyanensis, Astroblepus tamboensis, Gogo arcuatus, Haplochromis schwetzi, Petrocephalus cunganus, Haplochromis humilis, Labeobarbus clarkeae, Alestes ansorgii, Pachypanchax sparksorum, Akysis vespertinus, Erethistoides vesculus, Psilorhynchus melissa, Psilorhynchus pavimentatus, Bedotia alveyi, Pseudoqolus koko, Kryptolebias marmoratus, Apistogramma caetei, Paralithoxus boujardi, Astyanax leopoldi, Leporinus melanostictus, Guianacara geayi, Peckoltia capitulata, Telestes comes, Apteronotus magoi, Spectrolebias costai, Pituna poranga, Farlowella henriquei, Hemigrammus filamentosus, Henonemus intermedius, Hyphessobrycon amandae, Ituglanis macunaima, Melanocharacidium auroradiatum)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053892-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jkkwjd
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex monodynama"
 ]
}

 The dataset includes 27 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053941-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8z472
title: Occurrence Download

description: A dataset containing 15544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "OccurrenceStatus is Present",
 "TaxonKey is Hamearis lucina"
 ]
}

 The dataset includes 15544 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053944-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prfzmt
title: Occurrence Download

description: A dataset containing 3596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boletus edulis",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "Country is one of (Austria, Germany)",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 2000"
 ]
}

 The dataset includes 3596 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053942-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44zk6k
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pterocarpus indicus",
 "Year 1970-2025"
 ]
}

 The dataset includes 773 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053943-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.