cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30563024.v1
title: <b>Sinomenine</b><b> Attenuates Angiotensin II-Induced Ferroptosis in Renal Tubular Epithelial Cells via the Sirt1/SLC7A11 Pathway</b>

description: the supplementary files
DOI: 10.5281/zenodo.15335870
title: SAAINT-DB: a comprehensive structural antibody database for antibody modeling and design

description: This repository includes SAAINT-parser-processed structure models and unprocessed PDB mmcifs for SAAINT-DB.

processed_pdb_models.tar.gz: the SAAINT-parser-processed structure models (in the PDB format)

unprocessed_mmcifs.tar.gz: the original, unprocessed PDB structures (in the mmCIF format)
DOI: 10.5281/zenodo.18439125
title: SAAINT-DB: a comprehensive structural antibody database for antibody modeling and design

description: This repository includes SAAINT-parser-processed structure models and unprocessed PDB mmcifs for SAAINT-DB.

processed_pdb_models.tar.gz: the SAAINT-parser-processed structure models (in the PDB format)

unprocessed_mmcifs.tar.gz: the original, unprocessed PDB structures (in the mmCIF format)
DOI: 10.5281/zenodo.18441964
title: BIOLOGICALFOUNDATIONSOFTHEIMMUNESYSTEMANDITSROLEINPROTECTIONAGAINSTDISEASES

description: This article examines the biological foundations of the immune system, its structural and functional characteristics, and its role in protecting the body against various diseases. The immune system is a complex defense mechanism of the human body that forms specific cellular and humoral responses against microorganisms, viruses, and toxins entering from the external environment. The article scientifically analyzes innate (natural) and adaptive (specific) types of immunity, their interrelationship, and the stages of the immune response. In addition, immune system disorders such as immunodeficiency, autoimmune diseases, and allergic reactions are discussed. The results of the study substantiate the crucial role of a healthy immune system in maintaining human health and resistance to diseases.
DOI: 10.5281/zenodo.18441963
title: BIOLOGICALFOUNDATIONSOFTHEIMMUNESYSTEMANDITSROLEINPROTECTIONAGAINSTDISEASES

description: This article examines the biological foundations of the immune system, its structural and functional characteristics, and its role in protecting the body against various diseases. The immune system is a complex defense mechanism of the human body that forms specific cellular and humoral responses against microorganisms, viruses, and toxins entering from the external environment. The article scientifically analyzes innate (natural) and adaptive (specific) types of immunity, their interrelationship, and the stages of the immune response. In addition, immune system disorders such as immunodeficiency, autoimmune diseases, and allergic reactions are discussed. The results of the study substantiate the crucial role of a healthy immune system in maintaining human health and resistance to diseases.
DOI: 10.5281/zenodo.18442012
title: CHARACTERISTICSOFENGLISHDISCOURSEINMASSMEDIA

description: This scientific article analyzes the linguistic, pragmatic, and sociocultural characteristics of English discourse used in mass media. In the global information space, English is widely used as a leading language and exerts a strong influence on public consciousness through mass media. The study examines the main features of English media discourse found in newspapers, magazines, television, and online publications, including simplified language units, evaluative vocabulary, metaphors, stylistic devices, and manipulative strategies. In addition, the role of the author’s position, audience orientation, and social context in mass media discourse is highlighted. The article reveals the significance of English media discourse not only in conveying information but also in shaping public opinion and influencing social and political processes. The research findings are of theoretical and practical importance for the study of English discourse, media text analysis, and the use of authentic materials in foreign language teaching.
DOI: 10.5281/zenodo.18442011
title: CHARACTERISTICSOFENGLISHDISCOURSEINMASSMEDIA

description: This scientific article analyzes the linguistic, pragmatic, and sociocultural characteristics of English discourse used in mass media. In the global information space, English is widely used as a leading language and exerts a strong influence on public consciousness through mass media. The study examines the main features of English media discourse found in newspapers, magazines, television, and online publications, including simplified language units, evaluative vocabulary, metaphors, stylistic devices, and manipulative strategies. In addition, the role of the author’s position, audience orientation, and social context in mass media discourse is highlighted. The article reveals the significance of English media discourse not only in conveying information but also in shaping public opinion and influencing social and political processes. The research findings are of theoretical and practical importance for the study of English discourse, media text analysis, and the use of authentic materials in foreign language teaching.
DOI: 10.6084/m9.figshare.31220857
title: CSL-Web482: A web-collected Chinese sign language image dataset of 482 isolated words(37200)

description: Chinese Sign Language is an important communication tool for people with hearing impairments, but the development of automatic sign language recognition systems is limited by the lack of high-quality datasets. Existing Chinese sign language datasets are mostly collected in laboratory settings, with uniform backgrounds and a limited number of presenters, making it difficult to reflect the complexity of real-world applications. Sign language recognition systems deployed in practice need to handle diverse backgrounds, different performance styles, and complex lighting conditions. To fill this gap, we collected and constructed the CSL-Web482 dataset. Based on the "Chinese Sign Language" standard manual, this dataset systematically collects sign language images for 482 commonly used isolated words, all extracted from publicly available online videos, retaining the diversity and complexity of the real world. This dataset aims to provide authentic, diverse, and standardized image data for research in Chinese sign language recognition, promoting the development of robust sign language recognition algorithms.
DOI: 10.6084/m9.figshare.31220857.v1
title: CSL-Web482: A web-collected Chinese sign language image dataset of 482 isolated words(37200)

description: Chinese Sign Language is an important communication tool for people with hearing impairments, but the development of automatic sign language recognition systems is limited by the lack of high-quality datasets. Existing Chinese sign language datasets are mostly collected in laboratory settings, with uniform backgrounds and a limited number of presenters, making it difficult to reflect the complexity of real-world applications. Sign language recognition systems deployed in practice need to handle diverse backgrounds, different performance styles, and complex lighting conditions. To fill this gap, we collected and constructed the CSL-Web482 dataset. Based on the "Chinese Sign Language" standard manual, this dataset systematically collects sign language images for 482 commonly used isolated words, all extracted from publicly available online videos, retaining the diversity and complexity of the real world. This dataset aims to provide authentic, diverse, and standardized image data for research in Chinese sign language recognition, promoting the development of robust sign language recognition algorithms.
DOI: 10.15468/dl.5v9mqb
title: Occurrence Download

description: A dataset containing 329764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-58.69862 -34.09748,-56.85616 -34.13396,-56.81967 -32.19116,-58.73511 -32.20029,-58.69862 -34.09748))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 329764 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003383-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x97dfv
title: Occurrence Download

description: A dataset containing 5186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.44.237_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 5186 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003389-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18441778
title: nerodia_erythrogaster_spades_01.fasta.gz
DOI: 10.5281/zenodo.18441779
title: nerodia_erythrogaster_spades_01.fasta.gz
DOI: 10.15468/dl.39s5ch
title: Occurrence Download

description: A dataset containing 5628 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Hawaii, United States (ver.2.0, 2022)"
 ]
}

 The dataset includes 5628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003390-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujv2w3
title: Occurrence Download

description: A dataset listing the 924 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.44.237_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset's 924 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003388-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18442087
title: THE PHENOMENON OF WORD FORMATION AND ITS SCHOLARLY INTERPRETATION IN THE WORK MIFTAH AL-ULUM
DOI: 10.5281/zenodo.18442088
title: THE PHENOMENON OF WORD FORMATION AND ITS SCHOLARLY INTERPRETATION IN THE WORK MIFTAH AL-ULUM
DOI: 10.15468/dl.3wefby
title: Occurrence Download

description: A dataset containing 114160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx"
 ]
}

 The dataset includes 114160 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003385-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14688349
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.21227/0dzc-eb60
title: "Security Mobile App User Reviews Classification"

description: "Mobile app user reviews contain valuable feedback about software functionality, quality, and security. Existing approaches for analyzing security-related reviews often rely on traditional feature extraction methods, limiting their ability to detect nuanced security concerns. This study aims to develop an automated framework for classifying mobile app user reviews into security-related and non-security-related categories. The framework leverages semantic representations and an iterative active learning process to improve annotation efficiency and model performance, while a web-based graphical user interface (GUI) with an integrated large language model (LLM) provides interpretable explanations, supporting both software engineers and end-users in evaluating mobile app security. We collected over one million reviews from multiple sources and applied a three-stage annotation pipeline: keyword-based filtering, expert validation, and iterative active learning that combines sentence-transformer embeddings with multiple machine learning classifiers. Using the resulting labeled dataset, two transformer-based models (SBERT and Paraphrase) were fine-tuned for binary classification, with the GUI+LLM providing explanations for predicted labels.  On 10-fold cross-validation, SBERT achieved 88.57\\% accuracy and 88.65\\% F1-score, while Paraphrase reached 90.38\\% accuracy and 90.40\\% F1-score. On the held-out test set, SBERT obtained 74.11\\% accuracy and 73.94\\% F1-score, whereas Paraphrase achieved 88.39\\% accuracy and 88.38\\% F1-score. Transformer-based models with sentence embeddings can effectively classify security-related user reviews, with Paraphrase outperforming SBERT. The integrated GUI and LLM enhance interpretability, providing a practical tool for supporting security assessment in mobile applications."
DOI: 10.15468/dl.mdxasr
title: Occurrence Download

description: A dataset containing 5938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balantiopteryx plicata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 5938 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003392-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18442045
title: THEFUTUREOFTRADEANDINVESTMENTRELATIONSBETWEENCENTRALASIAANDTHEUNITEDSTATES

description: This article examines the future of trade and investment relations between Central Asia and the United States, highlighting economic opportunities, structural challenges, and geopolitical considerations. Central Asia, comprising Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, offers abundant natural resources, strategic geographic positioning, and emerging markets that present significant potential for U.S. engagement. The study discusses historical trends, sectoral investment patterns, regional integration initiatives, and governance issues that influence bilateral economic cooperation. Furthermore, it emphasizes the importance of sustainable investment practices, adherence to Environmental, Social, and Governance (ESG) criteria, and alignment with regional connectivity projects. The analysis reveals that effective collaboration requires addressing institutional inefficiencies, promoting transparency, and fostering public-private partnerships, while navigating competition from other global powers. Ultimately, the study provides a forward-looking framework to strengthen mutually beneficial trade and investment relations, ensuring long-term economic growth, regional stability, and technological development.
DOI: 10.5281/zenodo.18442046
title: THEFUTUREOFTRADEANDINVESTMENTRELATIONSBETWEENCENTRALASIAANDTHEUNITEDSTATES

description: This article examines the future of trade and investment relations between Central Asia and the United States, highlighting economic opportunities, structural challenges, and geopolitical considerations. Central Asia, comprising Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, offers abundant natural resources, strategic geographic positioning, and emerging markets that present significant potential for U.S. engagement. The study discusses historical trends, sectoral investment patterns, regional integration initiatives, and governance issues that influence bilateral economic cooperation. Furthermore, it emphasizes the importance of sustainable investment practices, adherence to Environmental, Social, and Governance (ESG) criteria, and alignment with regional connectivity projects. The analysis reveals that effective collaboration requires addressing institutional inefficiencies, promoting transparency, and fostering public-private partnerships, while navigating competition from other global powers. Ultimately, the study provides a forward-looking framework to strengthen mutually beneficial trade and investment relations, ensuring long-term economic growth, regional stability, and technological development.
DOI: 10.5281/zenodo.18442097
title: Impacto comercial
DOI: 10.5281/zenodo.18442096
title: Impacto comercial
DOI: 10.15468/dl.6zwexy
title: Occurrence Download

description: A dataset containing 6827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peropteryx macrotis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 6827 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003393-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzuse5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ochlerotatus terrens)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003394-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmhnm3
title: Occurrence Download

description: A dataset containing 5428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhynchonycteris naso",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 5428 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003395-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9jgf5
title: Occurrence Download

description: A dataset containing 28544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "TaxonKey is Mammalia",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 28544 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003397-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18441995
title: Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation Data Set

description: This repository contains the datasets used in the study “Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation.” Specifically, it includes:





The original (standard) dataset,




A rule-based augmented dataset generated through refactoring transformations,




An LLM-based augmented dataset created using large language models.



The primary purpose of this repository is to publicly release these datasets in order to support reproducibility, enable rigorous benchmarking, and facilitate future research in code smell classification and software quality assessment.
DOI: 10.5281/zenodo.18441994
title: Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation Data Set

description: This repository contains the datasets used in the study “Enhancing Code Smell Classification with Code Refactoring-Based Data Augmentation.” Specifically, it includes:





The original (standard) dataset,




A rule-based augmented dataset generated through refactoring transformations,




An LLM-based augmented dataset created using large language models.



The primary purpose of this repository is to publicly release these datasets in order to support reproducibility, enable rigorous benchmarking, and facilitate future research in code smell classification and software quality assessment.
DOI: 10.15468/dl.ex8pa9
title: Occurrence Download

description: A dataset containing 1659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taphozous mauritianus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 1659 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003398-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18442053
title: Materials for "Complex Electrical Conductivity of Fractured Rocks: Insights into the Aperture Size from Theory, Simulations, and Experiments"

description: These files are for the work "Complex Electrical Conductivity of Fractured Rocks: Insights into the Aperture Size from Theory, Simulations, and Experiments".

They include two parts of Experiments and Simulations, where each file bears self-explanatory name.

Through these materials, results presented in this work can be independently validated.
DOI: 10.5281/zenodo.18442054
title: Materials for "Complex Electrical Conductivity of Fractured Rocks: Insights into the Aperture Size from Theory, Simulations, and Experiments"

description: These files are for the work "Complex Electrical Conductivity of Fractured Rocks: Insights into the Aperture Size from Theory, Simulations, and Experiments".

They include two parts of Experiments and Simulations, where each file bears self-explanatory name.

Through these materials, results presented in this work can be independently validated.
DOI: 10.5281/zenodo.18442124
title: SMARTGLASSES"-ASOCIALASSISTANTDEVICEBASEDONARTIFICIALINTELLIGENCEANDSENSORTECHNOLOGIES

description: This article examines the development of smart glasses as a social assistive device based on artificial intelligence and advanced sensor technologies. The proposed approach integrates computer vision, natural language processing, and sensor fusion to deliver real-time environmental awareness, navigation assistance, and support for social interaction. By employing on-device intelligence and adaptive feedback mechanisms, smart glasses are designed to enhance independence and quality of life for individuals with visual impairments, cognitive challenges, and age-related functional decline. The article analyzes system architecture, core functionalities, and ethical considerations, emphasizing the importance of human-centered design and privacy-preserving solutions.
DOI: 10.5281/zenodo.18442125
title: SMARTGLASSES"-ASOCIALASSISTANTDEVICEBASEDONARTIFICIALINTELLIGENCEANDSENSORTECHNOLOGIES

description: This article examines the development of smart glasses as a social assistive device based on artificial intelligence and advanced sensor technologies. The proposed approach integrates computer vision, natural language processing, and sensor fusion to deliver real-time environmental awareness, navigation assistance, and support for social interaction. By employing on-device intelligence and adaptive feedback mechanisms, smart glasses are designed to enhance independence and quality of life for individuals with visual impairments, cognitive challenges, and age-related functional decline. The article analyzes system architecture, core functionalities, and ethical considerations, emphasizing the importance of human-centered design and privacy-preserving solutions.
DOI: 10.15468/dl.t23y9y
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ochlerotatus dorsalis)"
 ]
}

 The dataset includes 241 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003399-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18442130
title: Impacto político
DOI: 10.5281/zenodo.18442131
title: Impacto político
DOI: 10.13140/rg.2.2.12972.73609
title: Histogram for Lipid and Fiber in different Group