cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4td9y2yg4v.1
title: Mahua Leaf Image Dataset

description: The Mahua Leaf Image Dataset is a collection of high-resolution raw images of Mahua (Madhuca longifolia / Madhuca indica) plants captured under natural field conditions. The dataset has been developed under the NMICPS–TiHAN, IIT Hyderabad project, funded by the Department of Science and Technology (DST), Government of India, to support research in computer vision, federated learning, and drone-based precision agriculture.

The current release comprises unannotated raw images collected in real agricultural environments, exhibiting varying illumination conditions, background clutter, soil textures, and natural leaf litter. The images capture Mahua plants at different growth stages and show visible variability in leaf color, texture, and stress symptoms, reflecting realistic field scenarios.

This dataset is intended to serve as an initial open benchmark for research in plant health analysis, image classification, object detection, and decentralized (federated) learning frameworks. Expert-verified annotation and class-labeled versions (e.g., healthy, diseased, weed-affected) are planned as future updates.

The current release comprises unannotated raw images collected in real agricultural environments, exhibiting varying illumination conditions, background clutter, soil textures, and natural leaf litter. The images capture Mahua plants at different growth stages and show visible variability in leaf color, texture, and stress symptoms, reflecting realistic field scenarios.

This dataset is intended to serve as an initial open benchmark for research in plant health analysis, image classification, object detection, and decentralized (federated) learning frameworks. Expert-verified annotation and class-labeled versions (e.g., healthy, diseased, weed-affected) are planned as future updates.
DOI: 10.15468/dl.rcqqpe
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1940",
 "Year is less than or equal to 1944"
 ]
}

 The dataset includes 179 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009429-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqc36h
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.84_1","matchCase":false},{"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 119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009431-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds004666.v1.0.7
title: EDDEN: Evaluation of Diffusion MRI DENoising
DOI: 10.17632/nszmnfcwhs
title: Ophthalmol Sci_Cehofski

description: The files contain proteomics data generated from mass spectrometry-based analysis of aqueous humor samples from patients with diabetic macular edema. Samples from patients with poor response to anti-VEGF therapy vs. patients with full resolution of the macular edema were compared at three consecutive time points as displayed in Supplementary Tables 1-3
DOI: 10.17632/nszmnfcwhs.1
title: Ophthalmol Sci_Cehofski

description: The files contain proteomics data generated from mass spectrometry-based analysis of aqueous humor samples from patients with diabetic macular edema. Samples from patients with poor response to anti-VEGF therapy vs. patients with full resolution of the macular edema were compared at three consecutive time points as displayed in Supplementary Tables 1-3
DOI: 10.17632/vtd3smn7wt
title: Data For : Data for: Transformation of Ministry Competencies of HKBP Church in Digital Era to Increase Congregational Attendance at Sunday Services in the North Sumatra Region

description: This dataset contains the quantitative survey data collected from 120 church ministers across 15 HKBP resorts in North Sumatra. The data measures ministry competencies, digital transformation readiness, and congregational attendance levels. It includes the raw responses used for the PLS-SEM analysis presented in the associated manuscript.
DOI: 10.17632/vtd3smn7wt.1
title: Data For : Data for: Transformation of Ministry Competencies of HKBP Church in Digital Era to Increase Congregational Attendance at Sunday Services in the North Sumatra Region

description: This dataset contains the quantitative survey data collected from 120 church ministers across 15 HKBP resorts in North Sumatra. The data measures ministry competencies, digital transformation readiness, and congregational attendance levels. It includes the raw responses used for the PLS-SEM analysis presented in the associated manuscript.
DOI: 10.3886/e244139
title: DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

description: Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/14/2026)
DOI: 10.3886/e244139v1
title: DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

description: Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey.
Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
Read less
description: (Downloaded 1/14/2026)
DOI: 10.17632/c4kt7xn2b5
title: Velocity datasets of an asymmetric dairy barn model by LDA in BLWT

description: The datasets present high-resolution airflow and turbulence measurements obtained in and around a 1:50 scaled asymmetric dairy barn model using a boundary layer wind tunnel (BLWT), including characterization data of boundary layer profile and airflow measurements at a cross-sectional plane. All instantaneous air velocities were acquired using a two-dimensional Laser Doppler Anemometry (LDA) system. The dataset of 233 point-dataset is primarily designed for validation and refinement of computational fluid dynamics (CFD) models, and includes pointwise instantaneous velocity fluctuations that is ideal for comparing time-series turbulence statistics and transient structures. Researchers in livestock housing design can use this dataset to evaluate and improve ventilation strategies for complex geometries. The spatially resolved measurement points allow for detailed comparisons between experimental and simulated results, supporting robust model calibration and validation efforts. Additionally, the datasets can be employed as references in indoor air quality and emission research, such as assessing ventilation efficacy and studying contaminant transport. The datasets can also serve as a reference for experimental planning and sensor placement optimization in scaled or in-situ airflow studies, enhancing the design of measurement campaigns. In summary, our datasets provide critical references for numerical modelling, and is valuable for further investigations of wind-driven ventilation performance as well as emission characterization in naturally-ventilated livestock buildings.
DOI: 10.5281/zenodo.18247551
title: Baccharis patens Baker in Mart. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247550
title: Baccharis patens Baker in Mart. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/c4kt7xn2b5.3
title: Velocity datasets of an asymmetric dairy barn model by LDA in BLWT

description: The datasets present high-resolution airflow and turbulence measurements obtained in and around a 1:50 scaled asymmetric dairy barn model using a boundary layer wind tunnel (BLWT), including characterization data of boundary layer profile and airflow measurements at a cross-sectional plane. All instantaneous air velocities were acquired using a two-dimensional Laser Doppler Anemometry (LDA) system. The dataset of 233 point-dataset is primarily designed for validation and refinement of computational fluid dynamics (CFD) models, and includes pointwise instantaneous velocity fluctuations that is ideal for comparing time-series turbulence statistics and transient structures. Researchers in livestock housing design can use this dataset to evaluate and improve ventilation strategies for complex geometries. The spatially resolved measurement points allow for detailed comparisons between experimental and simulated results, supporting robust model calibration and validation efforts. Additionally, the datasets can be employed as references in indoor air quality and emission research, such as assessing ventilation efficacy and studying contaminant transport. The datasets can also serve as a reference for experimental planning and sensor placement optimization in scaled or in-situ airflow studies, enhancing the design of measurement campaigns. In summary, our datasets provide critical references for numerical modelling, and is valuable for further investigations of wind-driven ventilation performance as well as emission characterization in naturally-ventilated livestock buildings.
DOI: 10.17632/ytmwsf2997.1
title: Software Projects User Stories Estimates with PRED & MMRE

description: This dataset contains empirical software effort estimation data collected from ten completed industrial web and mobile application projects, comprising over 100 user stories, developed by professional software teams. The data was gathered as part of an empirical study investigating the accuracy of human-based and Generative AI based software effort estimation techniques. The projects span multiple application domains, including finance, healthcare, on-demand services, AI-enabled systems, and design platforms, and represent real-world agile development environments. All projects were completed prior to data collection, allowing the inclusion of actual recorded effort for each user story. For each user story, the dataset includes:

Project and Story Identifiers
Unique identifiers for projects and their corresponding user stories, enabling traceability and project-level aggregation.

Actual Effort
The real development effort spent on each user story, recorded from project logs and expressed in person-hours (PH).

Single-Point Expert Judgment Estimate (EJ(SP))
An effort estimate provided by an experienced practitioner who was directly involved in the corresponding project, serving as an industrial baseline.

Planning Poker Estimate (PP)
Consensus-based effort estimates produced by trained, balanced teams of experienced software professionals using the Planning Poker technique and a modified Fibonacci scale.

Generative AI–Based Estimates
Independent single-point effort estimates generated for each user story using four widely used Generative AI tools:
ChatGPT, DeepSeek, Microsoft Copilot & Google Gemini

All AI tools were prompted using an identical, structured prompt protocol and zero-shot learning setup to ensure fairness and reproducibility.

The dataset is suitable for:
Comparative evaluation of human vs. AI-based effort estimation, Analysis of estimation accuracy using metrics such as MMRE and PRED(25).
Research on agile estimation techniques, large language models, and requirements-based effort prediction, Replication studies and benchmarking of emerging AI estimation approaches. By providing real industrial data with multiple estimation perspectives and ground-truth effort values, this dataset supports reproducible and transparent research in software effort estimation and AI-assisted project planning.
DOI: 10.15468/dl.6ebej6
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - TLS - Toulouse Blagnac-Inventaires Aéro Biodiversité - TLS - Observations opportunistes extérieures"
 ]
}

 The dataset's 6 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009419-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jke2wc
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Picea martinezii"
 ]
}

 The dataset includes 43 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009433-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/x72jol
title: Empowering the elderly in the information society: Redefining digital education for Polish seniors in the age of rapid technological change - data for the article

description: Based on the content of the article, the structure of the data underpinning the analysis and the article can be organised as follows:

1. Demographics of study participants
Age of study participants: Mean age, age range (19-71 years), standard deviation.
Number of participants: 83 participants.
Professional profile: Trainers and potential educators of older adults.
Level of motivation and experience: Interest in digital inclusion of older adults and proficiency in using e-learning platforms.

2. Research questions and categories of analysis
Research questions:
Which life needs of older adults are prioritised in the context of digitalisation?
How are specific life needs linked to digital devices and software?
Which software and websites are most important for the digital inclusion of older adults?
Areas of life analysed in the study:
Daily tasks.
Finances.
Education.
Work and professional development.
Social relationships.
Health.
Entertainment and hobbies.
Civic engagement.
Religion.

3. data based on the digital competences framework
Theoretical source: the digital competence model developed by Jasiewicz et al. (2016).
Links between digital competences and life needs:
Examples of needs (e.g. ‘finding a job’) and assigned functional competences (e.g. using job portals, creating a CV).
Examples of digital tools: List of recommended apps, websites and devices adapted to older adults.

4. Research methodology
Study design: Qualitative analysis based on e-learning course data.
Tools: E-learning platforms (Open UJ, KIRE), MS Forms, MAXQDA Analytics Pro analysis software.
Data collection: Open participant responses on key areas of digital competence.
Data analysis:
Selective coding: Initial categories of activities and life needs.
Axial coding: Organising categories and identifying relationships between them.
Triangulation of researchers to ensure data reliability.
DOI: 10.17632/6snrjwcpkh.1
title: UAV-OBB

description: Dataset Description (≤3000 characters)

UAV-OBB is an aerial urban vehicle dataset designed for rotation-aware object detection and smart-city traffic monitoring using oriented bounding boxes (OBBs). Many UAV/drone datasets annotate vehicles with axis-aligned rectangles that include unnecessary background and do not encode orientation; UAV-OBB provides tight rotated annotations to support accurate localization, orientation estimation, and downstream traffic analysis.

The dataset contains 1,375 RGB images (JPEG) at 1920×1080 resolution captured from predominantly nadir-view UAV imagery over urban roads in Chongqing, Wuhan, and Beijing (China). It provides 35,615 oriented vehicle instances across six classes: bike, bus, car, other_vehicle, taxi, and truck. The data are split into 1,158 training images, 207 validation images, and 10 test images. Collection altitude was approximately 75–108 m under diverse real-world conditions, including morning, midday, evening, rain, and mist/light fog. Both wide field-of-view and zoom settings were used to introduce strong scale variation, ranging from small distant vehicles to large close-up buses and trucks.

Annotations are provided in YOLOv8-OBB label format as plain text files (one per image). Each object is encoded by class id and a rotated rectangle represented by four corner vertices (x1,y1…x4,y4) in normalized image coordinates. All instances were manually annotated with rotation-capable tools and double-checked for quality and consistency. Occluded and truncated vehicles were included when the majority of the object was visible, reflecting realistic urban traffic scenes.

To support practical evaluation beyond static images, UAV-OBB also includes supplementary MP4 video sequences: a short clip with sparsely annotated reference frames for human-verifiable temporal assessment, and a longer unannotated sequence for qualitative evaluation of stability and deployment behavior. UAV-OBB can be used for oriented detection, tracking, counting, density estimation, and traffic-flow analysis in urban UAV surveillance scenarios.
DOI: 10.25345/c5w95123b
title: MassIVE MSV000100478 - Proteomic remodelling of the neurofibrillary tangle from PART to advanced Alzheimers disease
title: Alzheimers disease (AD) is characterised by the intraneuronal aggregation of phosphorylated Tau (pTau) into neurofibrillary tangles and by the extracellular deposition of beta amyloid (Abeta). Tau pathology restricted to the medio temporal lobe is frequently observed in the elderly brain in the absence of any Abeta deposition and considered as primary age related tauopathy (PART). Here, we applied an unbiased proteomic approach to determine if and how concomitant Abeta pathology modifies the neurofibrillary tangle proteome. Neurofibrillary tangles were isolated by laser capture microdissection from hippocampal sections of 17 post mortem brains spanning three groups: PART (n = 5; A0, B1 2, C0 scores), intermediate AD (n = 6; A1 2, B2 3, C1 2 scores) and advanced AD (n = 6; A3, B3, C3 scores). Mass spectrometry identified a conserved core of 63 proteins enriched in tangles across all groups, associated with RNA binding. Group specific signatures were also observed: 33 proteins were significantly enriched only in tangles collected from PART cases and were predominantly linked to structural activity, whereas Abeta positive cases showed specific enrichment of RNA binding and translation pathways with intermediate AD cases displaying a transitional profile. Our findings are consistent with PART having distinct tangle proteomic features that could precede Abeta driven changes; however, the majority of its proteomic signature is in common with tangles within the AD continuum. By addressing how Abeta accumulation alters the tangle proteome, this study provides mechanistic insights into the expansion of Tau pathology, paving the way towards the identification of biomarkers and therapeutic strategies that would allow for stabilisation of Tau pathology in the elderly.
DOI: 10.15468/dl.gvabxq
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.26.19_1","matchCase":false},{"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 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009434-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18247567
title: Baccharis pauciflosculosa DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247566
title: Baccharis pauciflosculosa DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/hx8cydx2b3.1
title: Methylsurfonylmethane use in dermatology: a systematic review

description: Supplementary Materials for "Methylsurfonylmethane use in dermatology: a systematic review " by Abdul-Rahman et al.
DOI: 10.5281/zenodo.18236105
title: Oligomeric assemblies of plant biotin carboxylase: structural coordinates of a cross-linked dimer of dimers

description: Due to the interest in fatty acid synthesis by oilseed crops, we conducted structural studies of the biotin carboxylase (BC) subunit of the plastid acetyl-CoA carboxylase from pennycress. The starting structural model of this study was the dimer of this plant BC, determined by cryo-EM by Madison et al. (2025, DOI 10.64898/2025.12.30.697075) and deposited under PDB 9ZVM. We formed cross-links between dimers of pennycress BC using a cross-linker cleavable in the mass spectrometer (DSBU). Cross-links guided HADDOCK docking calculations suggesting a dimer of dimers of pennycress BC that is asymmetric, staggered, and tilted between dimers, with conservation in the interface (Madison et al., 2025, DOI 10.64898/2025.12.30.697075). These dimer interactions conceivably may contribute to larger oligomers of BC and influence associations with other subunits of the heteromeric acetyl-CoA carboxylase from plants.
description: The file named tetramer_restr_chABCD.tbl contains the seven cross-link-based distance restraints used in the HADDOCK calculations. The restraints are in CNS format, as HADDOCK uses CNS.

The top resulting structural models, described in Madison et al. (2025, DOI 10.64898/2025.12.30.697075), are in the Crystallographic Information File format.