cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3fttmc
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters is less than or equal to 111.0",
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Novius cardinalis"
 ]
}

 The dataset includes 80 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018898-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520917
title: PEDAGOGICAL AND TECHNOLOGICAL OPPORTUNITIES FOR DEVELOPING INDEPENDENT LEARNING SKILLS THROUGH MOBILE TECHNOLOGIES

description: This article provides a scientific analysis of the pedagogical and technological opportunities for developing the ability of independent knowledge acquisition through mobile technologies. It examines the integration of mobile devices into the educational process, the design of individual learning trajectories, the enhancement of cognitive engagement, and the development of self-regulated learning skills. The study highlights the importance of interactivity and flexibility within mobile learning environments in supporting lifelong education.
DOI: 10.5281/zenodo.18520918
title: PEDAGOGICAL AND TECHNOLOGICAL OPPORTUNITIES FOR DEVELOPING INDEPENDENT LEARNING SKILLS THROUGH MOBILE TECHNOLOGIES

description: This article provides a scientific analysis of the pedagogical and technological opportunities for developing the ability of independent knowledge acquisition through mobile technologies. It examines the integration of mobile devices into the educational process, the design of individual learning trajectories, the enhancement of cognitive engagement, and the development of self-regulated learning skills. The study highlights the importance of interactivity and flexibility within mobile learning environments in supporting lifelong education.
DOI: 10.15468/dl.qnhy7p
title: Occurrence Download

description: A dataset containing 1853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spiranthes spiralis, Spiranthes spiralis, Spiranthes spiralis, Spiranthes autumnalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1853 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018900-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdt743
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hubbardia heptaneuron",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018901-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vr0p-n650
title: "A Solar Power Plant Site Screening Pipeline from Open Satellite Data and Physics Based Reanalysis"

description: "Selecting suitable land is a critical step in developing large-scale solar photovoltaic (PV) plants. Poor site selection can lead to low energy yield, high construction costs, and long-term operational issues. This paper presents \\textbf{Solar Sentinel}, a satellite-based framework that evaluates the suitability of a location for solar power deployment using open-source Earth observation data.} \\textbf{The proposed system combines multiple environmental indicators derived from satellite datasets, including vegetation cover, terrain elevation and slope, soil moisture conditions, and long-term solar irradiance. These parameters are extracted for user-defined geographic coordinates and processed through a unified geospatial pipeline to generate an interpretable suitability profile for each location.}\\textbf{Unlike traditional approaches that rely on regional averages or costly ground surveys, Solar Sentinel enables rapid, location-specific assessment using freely available satellite data. The framework is lightweight, scalable, and designed for early-stage feasibility analysis of solar projects. This work demonstrates how satellite data fusion can support informed decision-making for solar site selection and lays the groundwork for future extensions involving economic analysis and automated suitability scoring."
DOI: 10.5281/zenodo.18520909
title: Legibility, Risk Avoidance, and the Procedural Suppression of Racialized Credibility

description: This paper examines a recurring socio-technical phenomenon in contemporary institutional systems: the withdrawal of engagement following the translation of lived experience into structured, policy-aligned, and legible form. Drawing on scholarship in critical race theory, sociology of bureaucracy, and administrative ethics, the paper argues that such withdrawals are best understood not as responses to content, tone, or technology per se, but as manifestations of institutional risk avoidance triggered by increased legibility.

Particular attention is paid to how racialized subjects, especially Black women, encounter a structural credibility trap wherein emotional expression is discredited as instability, while analytic clarity is reframed as inauthenticity or undue influence. The analysis demonstrates that the denial of translation tools—including AI-mediated articulation—functions as a mechanism for preserving discretionary ambiguity, thereby protecting institutional actors from accountability without requiring explicit discriminatory intent.
DOI: 10.5281/zenodo.18520910
title: Legibility, Risk Avoidance, and the Procedural Suppression of Racialized Credibility

description: This paper examines a recurring socio-technical phenomenon in contemporary institutional systems: the withdrawal of engagement following the translation of lived experience into structured, policy-aligned, and legible form. Drawing on scholarship in critical race theory, sociology of bureaucracy, and administrative ethics, the paper argues that such withdrawals are best understood not as responses to content, tone, or technology per se, but as manifestations of institutional risk avoidance triggered by increased legibility.

Particular attention is paid to how racialized subjects, especially Black women, encounter a structural credibility trap wherein emotional expression is discredited as instability, while analytic clarity is reframed as inauthenticity or undue influence. The analysis demonstrates that the denial of translation tools—including AI-mediated articulation—functions as a mechanism for preserving discretionary ambiguity, thereby protecting institutional actors from accountability without requiring explicit discriminatory intent.
DOI: 10.15468/dl.gprc3k
title: Occurrence Download

description: A dataset containing 291 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 4.045127286108716
 AND decimallatitude &lt;= 8.098015256935714
 AND decimallongitude &gt;= 39.97255587959733
 AND decimallongitude &lt;= 45.17848318098086
 AND GBIF_Within('POLYGON ((45.178483 4.045127, 45.178483 8.098015, 39.972556 8.098015, 39.972556 4.045127, 45.178483 4.045127))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 291 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018892-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a4f7f
title: Occurrence Download

description: A dataset containing 16462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stachys palustris, Stachys palustris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 16462 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018902-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z878cg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hubbardochloa gracilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018903-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520931
title: VIRAL INFECTIONS: COMPREHENSIVE PATHOLOGICAL, CLINICAL,AND SYSTEMIC INSIGHTS INTO COVID-19

description: Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has become one of the most impactful viral pandemics in modern medical history. Although initially described as an acute respiratory illness, COVID-19 is now recognized as a systemic disease associated with immune dysregulation, endothelial injury, and multi-organ involvement. This review provides a comprehensive scientific analysis of COVID-19, focusing on virology, pathogenesis, pathological anatomy, clinical manifestations, diagnostic approaches, therapeutic strategies, and prevention. Particular emphasis is placed on morphological and molecular mechanisms underlying disease severity. Comparative tables are included to ensure compliance with international scientific journal standards.
DOI: 10.5281/zenodo.18520932
title: VIRAL INFECTIONS: COMPREHENSIVE PATHOLOGICAL, CLINICAL,AND SYSTEMIC INSIGHTS INTO COVID-19

description: Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has become one of the most impactful viral pandemics in modern medical history. Although initially described as an acute respiratory illness, COVID-19 is now recognized as a systemic disease associated with immune dysregulation, endothelial injury, and multi-organ involvement. This review provides a comprehensive scientific analysis of COVID-19, focusing on virology, pathogenesis, pathological anatomy, clinical manifestations, diagnostic approaches, therapeutic strategies, and prevention. Particular emphasis is placed on morphological and molecular mechanisms underlying disease severity. Comparative tables are included to ensure compliance with international scientific journal standards.
DOI: 10.15468/dl.tevnk9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyalopoa pontica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018906-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx8c9q
title: Occurrence Download

description: A dataset containing 12972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stachys recta, Stachys recta, Stachys recta, Stachys recta)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12972 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018905-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uapqz6
title: Occurrence Download

description: A dataset containing 47335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stachys sylvatica, Stachys sylvatica, Stachys sylvatica)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 47335 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018907-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnhj26
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrothauma manicatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018908-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520960
title: METHODS OF ENDURANCE DEVELOPMENT FOR SWIMMERS

description: The article discusses how sports swimming uses exercises from various cyclical sports, sports games, and strength training exercises to develop endurance.
DOI: 10.5281/zenodo.18520959
title: METHODS OF ENDURANCE DEVELOPMENT FOR SWIMMERS

description: The article discusses how sports swimming uses exercises from various cyclical sports, sports games, and strength training exercises to develop endurance.
DOI: 10.15468/dl.4uc65t
title: Occurrence Download

description: A dataset containing 11226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stellaria alsine, Stellaria alsine, Stellaria alsine, Stellaria alsine, Stellaria uliginosa, Stellaria uliginosa, Stellaria uliginosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 11226 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018909-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6zpue
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hygrochloa cravenii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 43 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018910-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18419488
title: Machine Learning Analysis of User Sentiments in Tinnitus Management Apps

description: This dataset contains 342,520 English-language user reviews collected from 84 tinnitus management and related wellness mobile applications available on Apple App Store (iOS) and Google Play Store (Android) platforms, spanning the period from 2015 to 2025.

The dataset was created to support large-scale sentiment analysis and feature-level evaluation of mobile health applications for tinnitus management. Reviews were collected from 15 English-speaking regions using custom Python scrapers, followed by extensive deduplication that removed 5,145,978 duplicate entries from an initial collection of 5,488,498 reviews.

DATASET CONTENTS:- Main CSV file: 342,520 unique user reviews with metadata (author, date, rating, comment text, app name, platform)- Aspect keywords file: Predefined keywords used for aspect-based sentiment analysis across 10 feature categories- README file: Complete documentation of dataset structure, collection methodology, and usage guidelines

The dataset supports research in digital health evaluation, sentiment analysis, natural language processing, and mobile health application assessment. It provides unprecedented scale and temporal coverage for understanding user experiences with tinnitus management apps.

This dataset accompanies the research paper: "Graph Neural Network Analysis of User Sentiment in Tinnitus Management Apps: A Large-Scale Study of 342,520 App Store Reviews" by Yousaf et al. (2026), submitted to BMC Medical Informatics and Decision Making.

COLLECTION PERIOD: 2015-2025GEOGRAPHIC COVERAGE: 15 English-speaking regionsTOTAL REVIEWS: 342,520TOTAL APPS: 84
DOI: 10.5281/zenodo.18419487
title: Machine Learning Analysis of User Sentiments in Tinnitus Management Apps

description: This dataset contains 342,520 English-language user reviews collected from 84 tinnitus management and related wellness mobile applications available on Apple App Store (iOS) and Google Play Store (Android) platforms, spanning the period from 2015 to 2025.

The dataset was created to support large-scale sentiment analysis and feature-level evaluation of mobile health applications for tinnitus management. Reviews were collected from 15 English-speaking regions using custom Python scrapers, followed by extensive deduplication that removed 5,145,978 duplicate entries from an initial collection of 5,488,498 reviews.

DATASET CONTENTS:- Main CSV file: 342,520 unique user reviews with metadata (author, date, rating, comment text, app name, platform)- Aspect keywords file: Predefined keywords used for aspect-based sentiment analysis across 10 feature categories- README file: Complete documentation of dataset structure, collection methodology, and usage guidelines

The dataset supports research in digital health evaluation, sentiment analysis, natural language processing, and mobile health application assessment. It provides unprecedented scale and temporal coverage for understanding user experiences with tinnitus management apps.

This dataset accompanies the research paper: "Graph Neural Network Analysis of User Sentiment in Tinnitus Management Apps: A Large-Scale Study of 342,520 App Store Reviews" by Yousaf et al. (2026), submitted to BMC Medical Informatics and Decision Making.

COLLECTION PERIOD: 2015-2025GEOGRAPHIC COVERAGE: 15 English-speaking regionsTOTAL REVIEWS: 342,520TOTAL APPS: 84
DOI: 10.5281/zenodo.18520970
title: DIGITIZATION OF CAR WHEELS AS A MEANS FOR RELIABLE ACCOUNTING OF CAR PARTS IN «UTY» JSC

description: The need for digital marking of wheelsets is to improve the quality of reporting documentation and the reliability of accounting throughout the entire life cycle of the wheelset. The result can be achieved by using part identification systems (wheel sets) operating in automatic mode.
DOI: 10.5281/zenodo.18520971
title: DIGITIZATION OF CAR WHEELS AS A MEANS FOR RELIABLE ACCOUNTING OF CAR PARTS IN «UTY» JSC

description: The need for digital marking of wheelsets is to improve the quality of reporting documentation and the reliability of accounting throughout the entire life cycle of the wheelset. The result can be achieved by using part identification systems (wheel sets) operating in automatic mode.
DOI: 10.5281/zenodo.18520978
title: Credibility Asymmetry and Risk-Avoidance in Socio-Technical Housing Systems

description: Abstract

This document examines a structural asymmetry in how artificial intelligence–assisted communication is treated within public housing administrative processes. Using documentary evidence from Seattle Housing Authority (SHA) correspondence, it demonstrates that AI-mediated synthesis, summarization, and language structuring are universally permitted, normalized, and expected across modern professional, legal, and administrative domains, except when used by a Black woman tenant seeking representation and redress.

While institutional actors and their counterparts routinely employ AI-assisted or AI-equivalent structuring practices without scrutiny, the same tools are framed as disqualifying or illegitimate when used by the tenant. This asymmetry is analyzed through the lens of risk avoidance, racialized credibility control, and procedural harm, showing how ostensibly neutral restrictions function to preserve institutional leverage while foreclosing tenant intelligibility and advocacy.
DOI: 10.5281/zenodo.18520979
title: Credibility Asymmetry and Risk-Avoidance in Socio-Technical Housing Systems

description: Abstract

This document examines a structural asymmetry in how artificial intelligence–assisted communication is treated within public housing administrative processes. Using documentary evidence from Seattle Housing Authority (SHA) correspondence, it demonstrates that AI-mediated synthesis, summarization, and language structuring are universally permitted, normalized, and expected across modern professional, legal, and administrative domains, except when used by a Black woman tenant seeking representation and redress.

While institutional actors and their counterparts routinely employ AI-assisted or AI-equivalent structuring practices without scrutiny, the same tools are framed as disqualifying or illegitimate when used by the tenant. This asymmetry is analyzed through the lens of risk avoidance, racialized credibility control, and procedural harm, showing how ostensibly neutral restrictions function to preserve institutional leverage while foreclosing tenant intelligibility and advocacy.
DOI: 10.15468/dl.z2fuke
title: Occurrence Download

description: A dataset containing 13732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stellaria aquatica, Stellaria aquatica, Stellaria aquatica, Malachium aquaticum, Malachium aquaticum, Myosoton aquaticum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 13732 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018912-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.