cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/npfx2zhb2r
title: data for Stage-Specific Reconfiguration of Dynamic Brain Networks in Acute and Chronic Tinnitus Revealed by EEG Microstates and Dynamic Functional Connectivity

description: Research hypothesis:
Tinnitus progression involves distinct stages: an acute phase of salience-executive imbalance with aberrant high-frequency synchrony, and a chronic phase of compensatory rebalancing via low-frequency oscillatory adaptation, providing a dynamic framework for identifying stage-specific biomarkers.
Data Description: 
This dataset contains neurophysiological and demographic information from three participant groups: Acute Tinnitus (AT), Chronic Tinnitus (CT), and Healthy Controls (HC), with 15 participants in each group. Data are organized into three sheets:
1. Sheet: Microstate: 
Global Explained Variance: Proportion of total EEG variance explained by the four microstates
Microstate Duration (ms): Mean duration of each microstate (A, B, C, D)
Microstate Coverage: Fraction of total time covered by each microstate
Microstate Occurrence: Frequency of occurrence per second for each microstate
Transition Probabilities: Probabilities of transitions between microstates (e.g., A→B, A→C, etc.).
2. Sheet: Global Efficiency
Frequency Bands: δ (delta), θ (theta), αlow (low alpha), αhigh (high alpha), β (beta), γ (gamma)
Global Efficiency (SFN): Whole-brain global efficiency for each frequency band
Microstate-specific Global Efficiency: Global efficiency values associated with each microstate (A, B, C, D) in each frequency band.
3. Sheet: Demographics Characteristics
This sheet provides demographic and clinical information for all participants: Age in years, Duration of tinnitus in months (blank for HC), Side of tinnitus (Left, Right, Bilateral), Visual Analog Scale for tinnitus loudness (0–10), Tinnitus Handicap Inventory total score, THI subscales (Emotional, Functional, Catastrophic), Hearing thresholds at 250–8000 Hz for both ears,Pure Tone Average for right, left, and bilateral ears.
DOI: 10.17632/npfx2zhb2r.1
title: data for Stage-Specific Reconfiguration of Dynamic Brain Networks in Acute and Chronic Tinnitus Revealed by EEG Microstates and Dynamic Functional Connectivity

description: Research hypothesis:
Tinnitus progression involves distinct stages: an acute phase of salience-executive imbalance with aberrant high-frequency synchrony, and a chronic phase of compensatory rebalancing via low-frequency oscillatory adaptation, providing a dynamic framework for identifying stage-specific biomarkers.
Data Description: 
This dataset contains neurophysiological and demographic information from three participant groups: Acute Tinnitus (AT), Chronic Tinnitus (CT), and Healthy Controls (HC), with 15 participants in each group. Data are organized into three sheets:
1. Sheet: Microstate: 
Global Explained Variance: Proportion of total EEG variance explained by the four microstates
Microstate Duration (ms): Mean duration of each microstate (A, B, C, D)
Microstate Coverage: Fraction of total time covered by each microstate
Microstate Occurrence: Frequency of occurrence per second for each microstate
Transition Probabilities: Probabilities of transitions between microstates (e.g., A→B, A→C, etc.).
2. Sheet: Global Efficiency
Frequency Bands: δ (delta), θ (theta), αlow (low alpha), αhigh (high alpha), β (beta), γ (gamma)
Global Efficiency (SFN): Whole-brain global efficiency for each frequency band
Microstate-specific Global Efficiency: Global efficiency values associated with each microstate (A, B, C, D) in each frequency band.
3. Sheet: Demographics Characteristics
This sheet provides demographic and clinical information for all participants: Age in years, Duration of tinnitus in months (blank for HC), Side of tinnitus (Left, Right, Bilateral), Visual Analog Scale for tinnitus loudness (0–10), Tinnitus Handicap Inventory total score, THI subscales (Emotional, Functional, Catastrophic), Hearing thresholds at 250–8000 Hz for both ears,Pure Tone Average for right, left, and bilateral ears.
DOI: 10.17632/6fv9dbh5kr
title: BanglaAccent: Annotated Bangla Dialects with Demographic Metadata

description: Desher Vasha is a curated speech dataset capturing dialectal variation across more than 20 distinct regions of Bangladesh. Designed to support linguistic research, educational tools, and low-resource NLP development, the corpus includes voice recordings annotated with rich metadata such as speaker location, age, gender, and dialectal features.

Use Cases
• Linguistic research: Dialect classification, phoneme variation, sociolinguistic mapping
• Educational tools: Role-based apps for dialect awareness and pronunciation training
• NLP & ASR: Benchmarking for Bangla speech recognition, especially in low-resource and dialect-sensitive contexts
• Cultural preservation: Documenting endangered or underrepresented dialects
DOI: 10.17632/6fv9dbh5kr.3
title: BanglaAccent: Annotated Bangla Dialects with Demographic Metadata

description: Desher Vasha is a curated speech dataset capturing dialectal variation across more than 20 distinct regions of Bangladesh. Designed to support linguistic research, educational tools, and low-resource NLP development, the corpus includes voice recordings annotated with rich metadata such as speaker location, age, gender, and dialectal features.

Use Cases
• Linguistic research: Dialect classification, phoneme variation, sociolinguistic mapping
• Educational tools: Role-based apps for dialect awareness and pronunciation training
• NLP & ASR: Benchmarking for Bangla speech recognition, especially in low-resource and dialect-sensitive contexts
• Cultural preservation: Documenting endangered or underrepresented dialects
DOI: 10.17632/ypz3sdt473.1
title: Population size challenge in endemic freshwater species: Field and spatial modelling of the Idle Crayfish

description: The attached document contains the data required to reproduce the results of the study mentioned in the title. These are provided to ensure transparency and facilitate the independent verification of the statistical findings reported in the article.
DOI: 10.17632/phk8yrfrc4.3
title: STEM Student Course Perception(SSCP) Dataset

description: Investigating STEM Students' Resistance to Non-STEM curricula.
DOI: 10.17632/mtgh5wjymr
title: The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases

description: This dataset compiles the supporting information and evidence base for the comprehensive review entitled "The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases".

What data contains:
The dataset includes curated literature analysis and synthesized data on the characteristics, mechanisms, and clinical applications of circular RNAs (circRNAs) as liquid biopsy biomarkers. It encompasses their roles in non-cancerous diseases, with a focus on Cardiovascular Diseases (e.g., Atherosclerosis, Myocardial Infarction, Heart Failure) and Autoimmune Diseases (e.g., Rheumatoid Arthritis, Systemic Lupus Erythematosus). Data on circRNA biogenesis, stability, function (e.g., as miRNA sponges), and detection technologies (e.g., RNA-Seq, qRT-PCR) are also included.

How data was gathered:
The data were systematically gathered from published peer-reviewed literature. The process involved identifying relevant studies, extracting key findings on circRNA expression, function, and diagnostic/therapeutic potential, and organizing them into a structured format to facilitate the analysis presented in the review.

Why this data is valuable:
This structured dataset provides the empirical foundation for the review's conclusions regarding the significant translational potential of circRNAs in non-cancerous diseases. It highlights the advantages of circRNAs over traditional biomarkers, including their high stability, tissue specificity, and presence in various biofluids. The dataset enables transparency, reproducibility, and serves as a valuable resource for researchers and clinicians interested in the development of novel non-invasive diagnostic and monitoring tools
DOI: 10.17632/mtgh5wjymr.1
title: The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases

description: This dataset compiles the supporting information and evidence base for the comprehensive review entitled "The Translational Potential of Circulating circRNAs as Liquid Biopsy Biomarkers for Non-Cancerous Diseases".

What data contains:
The dataset includes curated literature analysis and synthesized data on the characteristics, mechanisms, and clinical applications of circular RNAs (circRNAs) as liquid biopsy biomarkers. It encompasses their roles in non-cancerous diseases, with a focus on Cardiovascular Diseases (e.g., Atherosclerosis, Myocardial Infarction, Heart Failure) and Autoimmune Diseases (e.g., Rheumatoid Arthritis, Systemic Lupus Erythematosus). Data on circRNA biogenesis, stability, function (e.g., as miRNA sponges), and detection technologies (e.g., RNA-Seq, qRT-PCR) are also included.

How data was gathered:
The data were systematically gathered from published peer-reviewed literature. The process involved identifying relevant studies, extracting key findings on circRNA expression, function, and diagnostic/therapeutic potential, and organizing them into a structured format to facilitate the analysis presented in the review.

Why this data is valuable:
This structured dataset provides the empirical foundation for the review's conclusions regarding the significant translational potential of circRNAs in non-cancerous diseases. It highlights the advantages of circRNAs over traditional biomarkers, including their high stability, tissue specificity, and presence in various biofluids. The dataset enables transparency, reproducibility, and serves as a valuable resource for researchers and clinicians interested in the development of novel non-invasive diagnostic and monitoring tools
DOI: 10.17632/x4myws8fzc
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 5PHOS2
DOI: 10.17632/x4myws8fzc.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 5PHOS2
DOI: 10.15468/dl.7ce9t3
title: Occurrence Download

description: A dataset containing 795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.41.40_1",
 "TaxonKey is Anolis"
 ]
}

 The dataset includes 795 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031903-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mh3r3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbodes binotatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031904-251025141854904/datasets/export for details.
DOI: 10.15468/dl.rt4dgr
title: Occurrence Download

description: A dataset containing 2058 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batrachochytrium dendrobatidis"
 ]
}

 The dataset includes 2058 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031905-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/26812
title: Chandra X-ray Observatory ObsId 26812

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.15468/dl.9hns8b
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is one of (Museum of Comparative Zoology, Harvard University, NMNH Extant Specimen Records (USNM, US), UMZC Zoological Specimens, Royal Ontario Museum - Mammalogy, Observation.org, Nature data from around the World, Natural History Museum (London) Collection Specimens, LSUMZ Mammal Tissues, Field Museum of Natural History (Zoology) Mammal Collection)",
 "TaxonKey is Tupaia montana"
 ]
}

 The dataset's 3 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031898-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xdxkf
title: Occurrence Download

description: A dataset containing 62724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geum urbanum",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 62724 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031882-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ydn4b
title: Occurrence Download

description: A dataset containing 71 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 3139324 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 3139324 OR CAST(occurrence.kingdomkey AS INTEGER) = 3139324 OR CAST(occurrence.phylumkey AS INTEGER) = 3139324 OR CAST(occurrence.classkey AS INTEGER) = 3139324 OR CAST(occurrence.orderkey AS INTEGER) = 3139324 OR CAST(occurrence.familykey AS INTEGER) = 3139324 OR CAST(occurrence.genuskey AS INTEGER) = 3139324 OR CAST(occurrence.specieskey AS INTEGER) = 3139324)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 71 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031891-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.escrqs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbodes rhombeus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031906-251025141854904/datasets/export for details.
DOI: 10.7266/d9xnhqa3
title: Morphometric Data from Deep-Pelagic Fishes collected during the DEEPEND and DSB Research Programs
DOI: 10.15468/dl.anehau
title: Occurrence Download

description: A dataset containing 453981736 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-123.41187 8.83663,-79.30633 8.83663,-79.30633 35.2865,-123.41187 35.2865,-123.41187 8.83663))"
 ]
}

 The dataset includes 453981736 records from 5060 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031855-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15578636
title: ATCCfinder_ZymoMCS_PE_fastq
DOI: 10.5281/zenodo.15578637
title: ATCCfinder_ZymoMCS_PE_fastq
DOI: 10.5281/zenodo.15579025
title: The Open Paradigm: A Systematic Analysis of Evolutionary Frameworks and Cross-Sectoral Applications in Data-Driven Ecosystems

description: This repository contains the full paper The Open Paradigm: A Systematic Analysis of Evolutionary Frameworks and Cross-Sectoral Applications in Data-Driven Ecosystems. The study presents a systematic literature review that critically examines emerging open models — Open Banking, Open Finance, and Open Insurance — through an evolutionary, comparative, and multidisciplinary lens. Drawing from the analysis of 274 peer-reviewed studies published between 2015 and 2024, the paper identifies five foundational pillars that support these models: inclusion, interoperability, innovation, security, and consumer empowerment. Beyond the financial sector, the study demonstrates how open principles are successfully being adapted across domains such as healthcare, education, and public services, indicating a broader paradigm shift in data-driven ecosystems. The paper also introduces methodological contributions by adapting PRISMA guidelines to fast-evolving phenomena regulated by APIs and data protection frameworks. This publication is intended to support researchers, policymakers, and practitioners in designing more inclusive, interoperable, and citizen-centric digital ecosystems.
DOI: 10.5281/zenodo.15579026
title: The Open Paradigm: A Systematic Analysis of Evolutionary Frameworks and Cross-Sectoral Applications in Data-Driven Ecosystems

description: This repository contains the full paper The Open Paradigm: A Systematic Analysis of Evolutionary Frameworks and Cross-Sectoral Applications in Data-Driven Ecosystems. The study presents a systematic literature review that critically examines emerging open models — Open Banking, Open Finance, and Open Insurance — through an evolutionary, comparative, and multidisciplinary lens. Drawing from the analysis of 274 peer-reviewed studies published between 2015 and 2024, the paper identifies five foundational pillars that support these models: inclusion, interoperability, innovation, security, and consumer empowerment. Beyond the financial sector, the study demonstrates how open principles are successfully being adapted across domains such as healthcare, education, and public services, indicating a broader paradigm shift in data-driven ecosystems. The paper also introduces methodological contributions by adapting PRISMA guidelines to fast-evolving phenomena regulated by APIs and data protection frameworks. This publication is intended to support researchers, policymakers, and practitioners in designing more inclusive, interoperable, and citizen-centric digital ecosystems.
DOI: 10.15468/dl.gd7q97
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis Gmelin, 1788",
 "Country is United States of America",
 "StateProvince is New York",
 "StateProvince is New Jersey"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015977-250525065834625/datasets/export for details.
DOI: 10.15468/dl.pzj5q8
title: Occurrence Download

description: A dataset containing 65827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mycobacterium Lehmann & Neumann, 1896"
 ]
}

 The dataset includes 65827 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015972-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29120510
title: Consensus mitochondrial genome (mtGenome) sequences of authenticated samples.

description: Files associated with the publication "Evaluating Non-Destructive Sampling Methods of Parchment for Genomic Sequencing" by Diaz et al. 2025.FASTA file (Authenticated mt genome sequences.fa) - Consensus mitochondrial genome (mtGenome) sequences of authenticated samples. Only samples with consensus sequences with &gt;10 X coverage are included.EXCEL file (Sample Metadata.xlsx) - metadata on the sample ID, parchment ID, non-destructive sampling method along with whether it is included in the FASTA file.
DOI: 10.6084/m9.figshare.29120510.v1
title: Consensus mitochondrial genome (mtGenome) sequences of authenticated samples.

description: Files associated with the publication "Evaluating Non-Destructive Sampling Methods of Parchment for Genomic Sequencing" by Diaz et al. 2025.FASTA file (Authenticated mt genome sequences.fa) - Consensus mitochondrial genome (mtGenome) sequences of authenticated samples. Only samples with consensus sequences with &gt;10 X coverage are included.EXCEL file (Sample Metadata.xlsx) - metadata on the sample ID, parchment ID, non-destructive sampling method along with whether it is included in the FASTA file.
DOI: 10.7934/p5981
title: Earliest gobioid fishes were coral-reef associated dwarfs: New evidence from the Eocene of Monte Bolca, Italy (project)
DOI: 10.15468/dl.xg9h3u
title: Occurrence Download

description: A dataset containing 138123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.75262 43.57513,4.74934 43.56653,4.75528 43.55261,4.82502 43.52916,4.84878 43.56372,4.848 43.58217,4.81736 43.5978,4.76247 43.59905,4.75262 43.57513))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 138123 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.