cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wcdk8rjdrj.1
title: Supplementary Online Content for - Population differences in Merkel cell carcinoma by virus status and anatomic site: A multi-cohort analysis including institutional, SEER, and NCDB data

description: Supplementary materials including eMethods, eTables, and eFigures related to manuscript to be published in the Journal of the American Academy of Dermatology.
DOI: 10.17632/js4c68t4v6
title: How Décollement Properties Asymmetry Govern Orogenic Wedge Evolution: Insights From Finite-Element Models from the Kuqa Foreland Basin, Central Asia

description: Support information and reference model code of the model result (all models can be modified based on the reference model.). And the model set up and key result figure.
DOI: 10.17632/js4c68t4v6.2
title: How Décollement Properties Asymmetry Govern Orogenic Wedge Evolution: Insights From Finite-Element Models from the Kuqa Foreland Basin, Central Asia

description: Support information and reference model code of the model result (all models can be modified based on the reference model.). And the model set up and key result figure.
DOI: 10.17632/wndbd5r26y
title: A Primary Chest X-ray Dataset of Normal and Pneumonia Cases from Epic Chittagong, Bangladesh

description: 📌 Steps to Reproduce
This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification.
This dataset contains 3,355 primary chest X-ray images collected from Epic Chittagong, Bangladesh, categorized into two classes:
(1) Normal
(2) Pneumonia

📊 Dataset Composition
---------------------------------
Training Data : 
=&gt; Normal: 321 images
=&gt; Pneumonia: 321 images
=&gt; Total Training Samples: 642

Testing Data : 
-------------------
Normal: 1,363 images
=&gt; Pneumonia: 1,350 images
=&gt; Total Testing Samples: 2,713
👉 Grand Total: 3,355 X-ray images

📂 Folder Structure : 
-------------------------
/Chest_Xray_EpicChittagong_Dataset/
├── train/
│ ├── Normal/
│ └── Pneumonia/
├── test/
│ ├── Normal/
│ └── Pneumonia/

📷 Image Details : 
------------------------
Format: JPEG / PNG
Modality: Chest X-ray (CXR)
Color: Grayscale
Source: Epic Chittagong, Bangladesh 2025
Status: Primary dataset (raw and unprocessed)

🧪 Applications : 
---------------------
=&gt; Pneumonia vs. Normal chest X-ray classification
=&gt; Deep learning model training (CNN, transfer learning)
=&gt; Benchmarking medical imaging algorithms
=&gt; Computer-aided diagnosis (CAD)
=&gt; Radiology research and teaching

📬 Contact : 
------------------
For questions or collaboration 
Md Irfanul Kabir Hira
Email: erfanulkabirhira132@gmail.com
🎓 Department of Computer Science and Engineering 

🏛️ Institutions :
--------------------
Epic Chittagong, Bangladesh
National Institute of Textile Engineering and Research
University of Dhaka

📚 Categories : 
----------------------
Computer Science, Radiology, Health Sciences, Artificial Intelligence, Computer Vision, Medical Imaging, Pneumonia, Chest X-ray, Deep Learning, Machine Learning
DOI: 10.17632/wndbd5r26y.2
title: A Primary Chest X-ray Dataset of Normal and Pneumonia Cases from Epic Chittagong, Bangladesh

description: 📌 Steps to Reproduce
This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification.
This dataset contains 3,355 primary chest X-ray images collected from Epic Chittagong, Bangladesh, categorized into two classes:
(1) Normal
(2) Pneumonia

📊 Dataset Composition
---------------------------------
Training Data : 
=&gt; Normal: 321 images
=&gt; Pneumonia: 321 images
=&gt; Total Training Samples: 642

Testing Data : 
-------------------
Normal: 1,363 images
=&gt; Pneumonia: 1,350 images
=&gt; Total Testing Samples: 2,713
👉 Grand Total: 3,355 X-ray images

📂 Folder Structure : 
-------------------------
/Chest_Xray_EpicChittagong_Dataset/
├── train/
│ ├── Normal/
│ └── Pneumonia/
├── test/
│ ├── Normal/
│ └── Pneumonia/

📷 Image Details : 
------------------------
Format: JPEG / PNG
Modality: Chest X-ray (CXR)
Color: Grayscale
Source: Epic Chittagong, Bangladesh 2025
Status: Primary dataset (raw and unprocessed)

🧪 Applications : 
---------------------
=&gt; Pneumonia vs. Normal chest X-ray classification
=&gt; Deep learning model training (CNN, transfer learning)
=&gt; Benchmarking medical imaging algorithms
=&gt; Computer-aided diagnosis (CAD)
=&gt; Radiology research and teaching

📬 Contact : 
------------------
For questions or collaboration 
Md Irfanul Kabir Hira
Email: erfanulkabirhira132@gmail.com
🎓 Department of Computer Science and Engineering 

🏛️ Institutions :
--------------------
Epic Chittagong, Bangladesh
National Institute of Textile Engineering and Research
University of Dhaka

📚 Categories : 
----------------------
Computer Science, Radiology, Health Sciences, Artificial Intelligence, Computer Vision, Medical Imaging, Pneumonia, Chest X-ray, Deep Learning, Machine Learning
DOI: 10.15468/dl.abc8ss
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium cordigerum"
 ]
}

 The dataset includes 182 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009972-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16644068
title: Towards equitable AI for women's health: accessible data as a catalyst for innovation

description: This dataset was produced for a review of accessible datasets for AI research for Women's Health.

Abstract:

Artificial intelligence (AI) is rapidly advancing across health domains, yet its integration into women’s health remains challenged, limited by under-representation in clinical literature and datasets, inconsistent data standards, and a lack of coordinated access to multimodal research-quality data resources. This research maps the current horizon of accessible (i.e. open and accessible on request) data that can contribute to AI development for women’s health. Main resources include clinical data repositories, cancer registries, biobanks and published research studies. We summarise data resources related to cancers (breast, cervical, endometrial, and ovarian), chronic and acute health conditions (cardiovascular), under-diagnosed conditions (endometriosis), wearable and vital sign data from remote health monitoring, and discuss other potential resources, such as the broader healthcare data in community care and pharmacy data. We provide a working definition of ”women’s health”, a table centralising key accessible data sources under the level of resources (national registry/clinical study, single/multimodality), and discuss key challenges and opportunities to advance AI research and innovations in the field. To support accessibility and reuse, we also provide an open-access online repository of curated datasets. This paper thus offers a cornerstone for building an equitable AI for women’s health: it can support future assessments of data completeness, demographic diversity, clinically deployability, methodological benchmarks, licensing, pharmacovigilance, and contributes to highlighting the global AI research in the women’s health ecosystem.

Pre-print paper reference: To be added.
DOI: 10.5281/zenodo.16644069
title: Towards equitable AI for women's health: accessible data as a catalyst for innovation

description: This dataset was produced for a review of accessible datasets for AI research for Women's Health.

Abstract:

Artificial intelligence (AI) is rapidly advancing across health domains, yet its integration into women’s health remains challenged, limited by under-representation in clinical literature and datasets, inconsistent data standards, and a lack of coordinated access to multimodal research-quality data resources. This research maps the current horizon of accessible (i.e. open and accessible on request) data that can contribute to AI development for women’s health. Main resources include clinical data repositories, cancer registries, biobanks and published research studies. We summarise data resources related to cancers (breast, cervical, endometrial, and ovarian), chronic and acute health conditions (cardiovascular), under-diagnosed conditions (endometriosis), wearable and vital sign data from remote health monitoring, and discuss other potential resources, such as the broader healthcare data in community care and pharmacy data. We provide a working definition of ”women’s health”, a table centralising key accessible data sources under the level of resources (national registry/clinical study, single/multimodality), and discuss key challenges and opportunities to advance AI research and innovations in the field. To support accessibility and reuse, we also provide an open-access online repository of curated datasets. This paper thus offers a cornerstone for building an equitable AI for women’s health: it can support future assessments of data completeness, demographic diversity, clinically deployability, methodological benchmarks, licensing, pharmacovigilance, and contributes to highlighting the global AI research in the women’s health ecosystem.

Pre-print paper reference: To be added.
DOI: 10.5281/zenodo.17495048
title: Institutional Heterogeneity in Crisis Response: Mixed-Methods Analysis of  Ukrainian Higher Education Strategic Adaptation During War - Complete  Dataset and Analysis

description: This dataset contains the complete analytical pipeline, results, and supplementary materials for a systematic mixed-methods analysis of strategic adaptation patterns among 135 Ukrainian higher education institution (HEI) experts during the ongoing war (2022-2025).

Key Findings:- Seven distinct institutional clusters (Silhouette coefficient = 0.955)- Three dominant strategic themes: Infrastructure Development (298 mentions),   Educational Excellence (276 mentions), Societal Engagement (211 mentions)- Experience as primary predictor (55.8% feature importance)- High data quality: 97.21% response completeness, MCAR missing mechanism

Original Data Source: Institute of Higher Education, NAES of Ukraine (DOI: 10.5281/zenodo.17357447)

Methods: Three-phase framework including data preprocessing, statistical analysis (PCA, cluster analysis, chi-square tests), and advanced techniques (Ukrainian NLP, topic modeling, machine learning).

See README.md for complete documentation.
DOI: 10.5281/zenodo.17495049
title: Institutional Heterogeneity in Crisis Response: Mixed-Methods Analysis of  Ukrainian Higher Education Strategic Adaptation During War - Complete  Dataset and Analysis

description: This dataset contains the complete analytical pipeline, results, and supplementary materials for a systematic mixed-methods analysis of strategic adaptation patterns among 135 Ukrainian higher education institution (HEI) experts during the ongoing war (2022-2025).

Key Findings:- Seven distinct institutional clusters (Silhouette coefficient = 0.955)- Three dominant strategic themes: Infrastructure Development (298 mentions),   Educational Excellence (276 mentions), Societal Engagement (211 mentions)- Experience as primary predictor (55.8% feature importance)- High data quality: 97.21% response completeness, MCAR missing mechanism

Original Data Source: Institute of Higher Education, NAES of Ukraine (DOI: 10.5281/zenodo.17357447)

Methods: Three-phase framework including data preprocessing, statistical analysis (PCA, cluster analysis, chi-square tests), and advanced techniques (Ukrainian NLP, topic modeling, machine learning).

See README.md for complete documentation.
DOI: 10.17632/fvnrxdfzxw.1
title: Aspect & Target-Aware Contextual Banglai Abusive Content Dataset

description: This dataset represents a context-aware Bengali abusive comment corpus, compiled from publicly available YouTube comments on Bangladeshi news channels such as JamunaTV, SomoyTV, ATN News, RTv, and new65. It consists of 1,500 manually collected andannotated comments, including both abusive and non-abusive instances, to support research in abusive language detection, sentiment analysis, target identification and computational social linguistics in low-resource languages.

Each record in the dataset contains the following fields:
ID, post_title, comment, parent, sequence, aspect, target, and abusive (Yes/No). The inclusion of parent and sequence fields enables contextual linkage between comments and their replies, supporting hierarchical analysis of online interactions.

Comments were categorized across 11 aspect classes (e.g., education, economy, sports political, social and so on) and 4 target types (e.g., individual, group, society, others). To clarify this schema, we provide two representative labeled comments: An abusive comment: “এরা ছাত্র না, এ রাজাকারের বাচ্চা।” → “They are not students; they are the children of the collaborators.” (labeled abusive(yes/no) = yes; aspect: politics; target: group). A non-abusive comment: “বাংলাদেশ দল আজ দারুণ খেলেছে, গর্বিত বোধ করছি।” → “The Bangladesh team played really well today; I feel proud.” (labeled abusive(yes/no) = no; Aspect: sports; Target: group). These paired examples demonstrate how we map Bengali comments to binary abuse labels while capturing aspect and target for richer analysis.
DOI: 10.7910/dvn/kopggl
title: SlFSR Gene Expression in Organic Tomato Breeding Lines CPP

description: qRT-PCR data from SlFSR gene expression testing on raw organic tomato fruit. Utilizing a modified protocol for a commercial RNA extraction kit for plant leaf tissue.
DOI: 10.17632/pjz2xmbfp8
title: Supplementary Tables for JDS.2025-27406.R1

description: Contains 3 tables cited in JDS manuscript [ JDS.2025-27406.R1]
DOI: 10.17632/pjz2xmbfp8.1
title: Supplementary Tables for JDS.2025-27406.R1

description: Contains 3 tables cited in JDS manuscript [ JDS.2025-27406.R1]
DOI: 10.17632/b7rb9r3h2y
title: original microscopy image

description: Hematoxylin and eosin staining of lung tissue sections across different experimental groups
DOI: 10.17632/b7rb9r3h2y.1
title: original microscopy image

description: Hematoxylin and eosin staining of lung tissue sections across different experimental groups
DOI: 10.17632/386vmj2tbk.3
title: Dataset of health insurance portfolio

description: The data is formatted as a spreadsheet, encompassing the primary activities over a span of three full years (2017, 2018 and 2019) concerning non-life health insurance portfolio. This dataset comprises 228,711 rows and 42 columns. Each row signifies a insured (individual) policy, while each column represents a distinct variable.
DOI: 10.5281/zenodo.17495119
title: Bit-Collapse Theory (BCT): Evidence of Original Publication – December 2024

description: Documentation and digital evidence of the first public disclosure of the Bit-Collapse Theory (BCT) by Federico Batori.Includes dated Facebook notifications and WhatsApp screenshots demonstrating the initial articulation of the BCT on December 30, 2024, within an Italian Quantum Mechanics discussion group.The BCT defines consciousness as a discrete informational configuration emerging through the collapse of information states.These materials establish authorship and conceptual priority.
DOI: 10.17632/422ymw4g5k
title: Elevation inversion

description: Inversion data and verification data of forest and construction land
DOI: 10.5281/zenodo.17495118
title: Bit-Collapse Theory (BCT): Evidence of Original Publication – December 2024

description: Documentation and digital evidence of the first public disclosure of the Bit-Collapse Theory (BCT) by Federico Batori.Includes dated Facebook notifications and WhatsApp screenshots demonstrating the initial articulation of the BCT on December 30, 2024, within an Italian Quantum Mechanics discussion group.The BCT defines consciousness as a discrete informational configuration emerging through the collapse of information states.These materials establish authorship and conceptual priority.
DOI: 10.17632/422ymw4g5k.1
title: Elevation inversion

description: Inversion data and verification data of forest and construction land
DOI: 10.6084/m9.figshare.30373504
title: GWinputs Emissions and Export of CO2 in a boreal stream

description: Data used for estimating groundwater CO2 inputs to a boreal stream in Trollberget (northern Sweden)
DOI: 10.6084/m9.figshare.30373504.v1
title: Trollberget data

description: Data used for estimating groundwater CO2 inputs to a boreal stream in Trollberget (northern Sweden)
DOI: 10.6084/m9.figshare.30373504.v2
title: GWinputs Emissions and Export of CO2 in a boreal stream

description: Data used for estimating groundwater CO2 inputs to a boreal stream in Trollberget (northern Sweden)
DOI: 10.17632/6rvykfgxwv
title: Data for figures

description: Original data for Figure 1-6 & 8-9
DOI: 10.17632/6rvykfgxwv.1
title: Data for figures

description: Original data for Figure 1-6 & 8-9
DOI: 10.15468/dl.j26vra
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrathyria artemis"
 ]
}

 The dataset includes 119 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009974-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmdth9
title: Occurrence Download

description: A dataset listing the 42 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de fauna en el bosque seco tropical en la zona de amortiguación del Parque Nacional Natural Tayrona, Santa Marta, Colombia"
 ]
}

 The dataset's 42 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009969-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7h5ygs877b
title: the original blot

description: The regulatory effect of MLJZD on the IL-17 /NF-κB pathways.
DOI: 10.17632/7h5ygs877b.1
title: the original blot

description: The regulatory effect of MLJZD on the IL-17 /NF-κB pathways.
DOI: 10.17632/8z2g8k22zm
title: The Raw Dataset of Raman Spectroscopy, XRD, and EPMA Analyses for Different Mineral Phases in Campo del Cielo IAB Iron Meteorite

description: This dataset provides primary analytical data for a graphite- and silicate-rich Campo del Cielo IAB iron meteorite, including: (1) Raman spectral raw data of three texturally distinct graphite occurrences; (2) Original in-situ XRD patterns and whole-rock X-ray powder diffraction data; (3) Electron probe microanalysis (EPMA) datasets for representative opaque minerals, silicate phases, and oxide minerals. The comprehensive dataset systematically documents the mineralogical characteristics of this special meteorite specimen through multi-method analytical approaches.
DOI: 10.17632/8z2g8k22zm.1
title: The Raw Dataset of Raman Spectroscopy, XRD, and EPMA Analyses for Different Mineral Phases in Campo del Cielo IAB Iron Meteorite

description: This dataset provides primary analytical data for a graphite- and silicate-rich Campo del Cielo IAB iron meteorite, including: (1) Raman spectral raw data of three texturally distinct graphite occurrences; (2) Original in-situ XRD patterns and whole-rock X-ray powder diffraction data; (3) Electron probe microanalysis (EPMA) datasets for representative opaque minerals, silicate phases, and oxide minerals. The comprehensive dataset systematically documents the mineralogical characteristics of this special meteorite specimen through multi-method analytical approaches.
DOI: 10.34810/data1808
title: Replication Data for: "cultivating adolescents’ critical consciousness of physical self-concept through a physical education intervention"

description: A collection of survey participation and assessments on critical consciousness of physical self-concept within an activity in physical education. The survey is based on the Physical Self-Concept Questionnaire (PSCQ) and it includes anonymised responses from 70 students aged 14-15 in a Catalan high school
description: R, 4.4.1
description: ggplot2, 3.3.2
DOI: 10.17632/gxmswb8nbt
title: High-resolution genome topology analysis of human peripheral blood mononuclear cells and osteoclasts.

description: Genome topology analysis of human osteoclasts (Micro-C). In this study we performed Micro-C analysis (Dovetail Genomics) on peripheral blood mononuclear cells and osteoclasts (OC) cultured in vitro, derived from blood samples of 4 healthy human participants. This experiment provided genome topology and chromatin conformation data on these cells to facilitate efficient targeting of ongoing functional genomics studies. We generated a unique high-resolution genome topology dataset for human OC, detecting chromatin loops across the genome. This data should be relevant to studies of the genetics of osteoporosis and to inform future functional studies of osteoclasts. 

Published as: Wilson SG, Campbell PJ, Sooraj D, Leatherbarrow K, Mullin BH, Brown SJ, Zhu K, Mullin S, Ward BK, Zhang J, Torchia J, Dudbridge F, Xu J, Pavlos NJ, Chandler D, Walsh JP. Genome topology analysis and transcriptomics of human osteoclasts reveals enhancer-promoter interactions at loci for bone traits and diseases. JBMR Plus. 2025 Jul 16;9(10):ziaf120. doi: 10.1093/jbmrpl/ziaf120. PMID: 40918604; PMCID: PMC12409414.
DOI: 10.17632/gxmswb8nbt.1
title: High-resolution genome topology analysis of human peripheral blood mononuclear cells and osteoclasts.

description: Genome topology analysis of human osteoclasts (Micro-C). In this study we performed Micro-C analysis (Dovetail Genomics) on peripheral blood mononuclear cells and osteoclasts (OC) cultured in vitro, derived from blood samples of 4 healthy human participants. This experiment provided genome topology and chromatin conformation data on these cells to facilitate efficient targeting of ongoing functional genomics studies. We generated a unique high-resolution genome topology dataset for human OC, detecting chromatin loops across the genome. This data should be relevant to studies of the genetics of osteoporosis and to inform future functional studies of osteoclasts. 

Published as: Wilson SG, Campbell PJ, Sooraj D, Leatherbarrow K, Mullin BH, Brown SJ, Zhu K, Mullin S, Ward BK, Zhang J, Torchia J, Dudbridge F, Xu J, Pavlos NJ, Chandler D, Walsh JP. Genome topology analysis and transcriptomics of human osteoclasts reveals enhancer-promoter interactions at loci for bone traits and diseases. JBMR Plus. 2025 Jul 16;9(10):ziaf120. doi: 10.1093/jbmrpl/ziaf120. PMID: 40918604; PMCID: PMC12409414.
DOI: 10.15468/dl.nuwzwd
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium debile"
 ]
}

 The dataset includes 283 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009977-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dupxqc
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.40557 15.62965,120.67246 15.62965,120.67246 16.58781,119.40557 16.58781,119.40557 15.62965))",
 "HasCoordinate is true",
 "TaxonKey is Thalassia hemprichii"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009978-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.