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

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ficus benjamina",
 "Year 1960-2010"
 ]
}

 The dataset includes 57 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009098-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kj7q3r
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cycas panzhihuaensis"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009099-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvpa7f
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Celmisia lyallii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 113 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009100-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359128
title: Intelligent Algorithmic and Mathematical Modeling

description: README_ZENODO.md
DOI: 10.5281/zenodo.18359129
title: Intelligent Algorithmic and Mathematical Modeling

description: README_ZENODO.md
DOI: 10.5281/zenodo.18359047
title: HoneyNet: A Public Dataset for Binary and Multi-Stage Classification of Wax Moth Pest Infestation in Honeybee Apiaries

description: This dataset provides a publicly available collection of labeled images for the detection and classification of wax moth pest infestation in honeybee apiaries. The dataset supports both binary classification (healthy vs. infested) and multi-stage classification corresponding to different infestation stages. The images were collected under real apiary conditions and manually annotated to facilitate research in computer vision, machine learning, and precision apiculture. The dataset is intended to support automated pest monitoring and early infestation detection.
DOI: 10.15468/dl.azmv53
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea akamantis",
 "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/0009102-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18359189
title: ONKOLOGIK KASALLIKLARNI IMMUN TIZIMIGA TA'SIRI

description: Onkologik kasalliklar organizmning immun tizimi faoliyatiga jiddiy ta'sir ko'rsatadi [1, 2]. O'sma hujayralari immun nazorat mexanizmlaridan qochish, immun hujayralar faolligini susaytirish va yallig'lanish jarayonlarini buzish xususiyatiga ega [3, 4]. Natijada organizmning infeksiyalarga qarshi kurashish qobiliyati pasayadi va kasallikning rivojlanishi tezlashadi [5, 7]. Ushbu maqolada onkologik kasalliklarning immun tizimiga ta'sir mexanizmlari, immunosupressiya jarayonlari hamda zamonaviy immunoterapiya usullarining ahamiyati yoritilgan [3, 5, 8].
DOI: 10.5281/zenodo.18359188
title: ONKOLOGIK KASALLIKLARNI IMMUN TIZIMIGA TA'SIRI

description: Onkologik kasalliklar organizmning immun tizimi faoliyatiga jiddiy ta'sir ko'rsatadi [1, 2]. O'sma hujayralari immun nazorat mexanizmlaridan qochish, immun hujayralar faolligini susaytirish va yallig'lanish jarayonlarini buzish xususiyatiga ega [3, 4]. Natijada organizmning infeksiyalarga qarshi kurashish qobiliyati pasayadi va kasallikning rivojlanishi tezlashadi [5, 7]. Ushbu maqolada onkologik kasalliklarning immun tizimiga ta'sir mexanizmlari, immunosupressiya jarayonlari hamda zamonaviy immunoterapiya usullarining ahamiyati yoritilgan [3, 5, 8].
DOI: 10.15468/dl.jzhhz5
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ficus elastica",
 "Year 1950-2020"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009103-260120142942310/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/14601213
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/14600676
title: LLM Jailbreaks: Prompt Fruit Injection Analysis
DOI: 10.15468/dl.kps8af
title: Occurrence Download

description: A dataset containing 7665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea cyanus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7665 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009104-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uahry5
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ficus pumila",
 "Year 1970-2000"
 ]
}

 The dataset includes 94 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009105-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g722uw
title: Occurrence Download

description: A dataset containing 3773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea stoebe",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3773 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009106-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16842636
title: Multi-OSCC

description: Oral Squamous Cell Carcinoma (OSCC) is a prevalent and aggressive malignancy where deep learning-based computer-aided diagnosis and prognosis can enhance clinical assessments. However, existing publicly available OSCC datasets often suffer from limited patient cohorts and a restricted focus on either diagnostic or prognostic tasks, limiting the development of comprehensive and generalizable models. To bridge this gap, we introduce Multi-OSCC, a new histopathology image dataset comprising 1,325 OSCC patients, integrating both diagnostic and prognostic information to expand existing public resources. Each patient is represented by six high resolution histopathology images captured at 200, 400, and 1000—two per magnification—covering both the core and edge tumor regions. The Multi-OSCC dataset is richly annotated for six critical clinical tasks: recurrence prediction (REC), lymph node metastasis (LNM), tumor differentiation (TD), tumor invasion (TI), cancer embolus (CE), and perineural invasion (PI). We systematically evaluate the impact of different visual encoders, multi-image fusion techniques, stain normalization, and multi-task learning frameworks to benchmark this dataset. To accelerate future research, we publicly release the Multi-OSCC dataset at: https://github.com/guanjinquan/OSCC-PathologyImageDataset.
DOI: 10.5281/zenodo.18357239
title: Multi-OSCC

description: Oral Squamous Cell Carcinoma (OSCC) is a prevalent and aggressive malignancy where deep learning-based computer-aided diagnosis and prognosis can enhance clinical assessments. However, existing publicly available OSCC datasets often suffer from limited patient cohorts and a restricted focus on either diagnostic or prognostic tasks, limiting the development of comprehensive and generalizable models. To bridge this gap, we introduce Multi-OSCC, a new histopathology image dataset comprising 1,325 OSCC patients, integrating both diagnostic and prognostic information to expand existing public resources. Each patient is represented by six high resolution histopathology images captured at 200, 400, and 1000—two per magnification—covering both the core and edge tumor regions. The Multi-OSCC dataset is richly annotated for six critical clinical tasks: recurrence prediction (REC), lymph node metastasis (LNM), tumor differentiation (TD), tumor invasion (TI), cancer embolus (CE), and perineural invasion (PI). We systematically evaluate the impact of different visual encoders, multi-image fusion techniques, stain normalization, and multi-task learning frameworks to benchmark this dataset. To accelerate future research, we publicly release the Multi-OSCC dataset at: https://github.com/guanjinquan/OSCC-PathologyImageDataset.
DOI: 10.15468/dl.g3pa9q
title: Occurrence Download

description: A dataset containing 30857 records in GBIF matching the query:
SELECT
 '274' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= 20.3845909579754
 AND decimalLatitude &lt;= 24.552553756517728
 AND decimalLongitude &gt;= -105.80091890460366
 AND decimalLongitude &lt;= -98.6537462863998
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 30857 records were derived from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009101-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsgzcm
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurothamnus maximus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009107-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.x77xssmh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (230778 records)
DOI: 10.6084/m9.figshare.31143964
title: Supplementary Material for: Participant experience in a study of dietary counselling plus omega-3 supplementation for the treatment of generalized anxiety disorder among women: A focus group study

description: Background: Nutrition is an important determinant of health among people with mental disorders; however, barriers to dietary counselling exist. The Eating and Supplementation for Generalized Anxiety Disorder study (“EASe-GAD”) was the first trial to assess the impact of these interventions on anxiety symptoms. The primary objective of the present companion qualitative study was to gather and analyze qualitative data about the acceptability, participant experience, impact, barriers and facilitators, strengths, and weaknesses of the EASe-GAD program while also identifying opportunities for improvement. 

Methods: Participants were eligible for this study if they participated in the EASe-GAD trial. Data were collected using focus groups which followed a semi-structured interview approach with a set of pre-determined questions. The sessions were recorded and transcribed for data analysis. Data were analyzed by thematic analysis.

Results: Three focus groups were completed, involving a total of 12 women. They reported a range of components that they found helpful, such as increased self-efficacy, as well as positive outcomes that they attributed to the intervention, such as improved mental and physical health. They reported components of the program that were less enjoyable, such as having their body weight measured, and also suggested opportunities for improvement. Many participants reported that cost implications of a diet intervention were an important consideration.
 
Conclusion: This project provided valuable insight into the participant experience and impact of the pilot dietary counselling program. Participants reported benefits and opportunities for improvement for subsequent studies aimed at improving nutrition among people with anxiety disorders.
DOI: 10.6084/m9.figshare.31143964.v1
title: Supplementary Material for: Participant experience in a study of dietary counselling plus omega-3 supplementation for the treatment of generalized anxiety disorder among women: A focus group study

description: Background: Nutrition is an important determinant of health among people with mental disorders; however, barriers to dietary counselling exist. The Eating and Supplementation for Generalized Anxiety Disorder study (“EASe-GAD”) was the first trial to assess the impact of these interventions on anxiety symptoms. The primary objective of the present companion qualitative study was to gather and analyze qualitative data about the acceptability, participant experience, impact, barriers and facilitators, strengths, and weaknesses of the EASe-GAD program while also identifying opportunities for improvement. 

Methods: Participants were eligible for this study if they participated in the EASe-GAD trial. Data were collected using focus groups which followed a semi-structured interview approach with a set of pre-determined questions. The sessions were recorded and transcribed for data analysis. Data were analyzed by thematic analysis.

Results: Three focus groups were completed, involving a total of 12 women. They reported a range of components that they found helpful, such as increased self-efficacy, as well as positive outcomes that they attributed to the intervention, such as improved mental and physical health. They reported components of the program that were less enjoyable, such as having their body weight measured, and also suggested opportunities for improvement. Many participants reported that cost implications of a diet intervention were an important consideration.
 
Conclusion: This project provided valuable insight into the participant experience and impact of the pilot dietary counselling program. Participants reported benefits and opportunities for improvement for subsequent studies aimed at improving nutrition among people with anxiety disorders.
DOI: 10.6084/m9.figshare.31143967
title: Supplementary Material for: Epidemiological trends of idiopathic epilepsy in Asia, 1990-2021: An analysis from the Global Burden of Disease Study 2021

description: Objective: To evaluate the incidence, mortality, and disability-adjusted life years (DALYs) associated with idiopathic epilepsy in Asian region from 1990 to 2021, explore the influencing factors, and assess differences between countries, while also predicting prevalence and incidence trends of idiopathic epilepsy in Asian region up to 2036.
Methods: Based on the Global Burden of Disease (GBD) database, Joinpoint regression was used to analyze temporal trends. The age-period-cohort model was employed to analyze the effects of different factors. Das Gupta's decomposition method was used to evaluate the contributions of demographic and epidemiological factors. Data envelopment analysis was performed to assess the relationship between disease burden and socio-demographic index (SDI). ARIMA and Bayesian APC models were used to predict incidence rates from 2022 to 2036 based on historical trends.
Results: In 2021, the incidence of idiopathic epilepsy in Asia was 1,494,996.042 (95% UI: 1,096,849.405~1,886,986.598), with an age-standardized incidence rate (ASIR) of 34.035/100,000. Saudi Arabia had the highest ASIR (67.05/100,000), while Democratic People's Republic of Korea had the lowest (21.737/100,000). From 1990 to 2021, the global ASIR of idiopathic epilepsy showed an overall increasing trend with fluctuations. The increase in incidence was mainly driven by population growth. The incidence rate was generally higher in males than in females. With increasing SDI, the DALY rate generally decreased, but there is still room for improvement in some countries. The degree of inequality between high and low SDI regions decreased but still exists to some extent. Based on the identified historical patterns and model projections, the incidence rate is expected to continue rising through 2036.
Conclusions: The burden of idiopathic epilepsy in Asia shows an increasing trend with significant regional differences. Attention should be focused on high-risk populations, strengthening the balanced allocation of medical resources between regions, and formulating targeted prevention and control strategies.
DOI: 10.6084/m9.figshare.31143967.v1
title: Supplementary Material for: Epidemiological trends of idiopathic epilepsy in Asia, 1990-2021: An analysis from the Global Burden of Disease Study 2021

description: Objective: To evaluate the incidence, mortality, and disability-adjusted life years (DALYs) associated with idiopathic epilepsy in Asian region from 1990 to 2021, explore the influencing factors, and assess differences between countries, while also predicting prevalence and incidence trends of idiopathic epilepsy in Asian region up to 2036.
Methods: Based on the Global Burden of Disease (GBD) database, Joinpoint regression was used to analyze temporal trends. The age-period-cohort model was employed to analyze the effects of different factors. Das Gupta's decomposition method was used to evaluate the contributions of demographic and epidemiological factors. Data envelopment analysis was performed to assess the relationship between disease burden and socio-demographic index (SDI). ARIMA and Bayesian APC models were used to predict incidence rates from 2022 to 2036 based on historical trends.
Results: In 2021, the incidence of idiopathic epilepsy in Asia was 1,494,996.042 (95% UI: 1,096,849.405~1,886,986.598), with an age-standardized incidence rate (ASIR) of 34.035/100,000. Saudi Arabia had the highest ASIR (67.05/100,000), while Democratic People's Republic of Korea had the lowest (21.737/100,000). From 1990 to 2021, the global ASIR of idiopathic epilepsy showed an overall increasing trend with fluctuations. The increase in incidence was mainly driven by population growth. The incidence rate was generally higher in males than in females. With increasing SDI, the DALY rate generally decreased, but there is still room for improvement in some countries. The degree of inequality between high and low SDI regions decreased but still exists to some extent. Based on the identified historical patterns and model projections, the incidence rate is expected to continue rising through 2036.
Conclusions: The burden of idiopathic epilepsy in Asia shows an increasing trend with significant regional differences. Attention should be focused on high-risk populations, strengthening the balanced allocation of medical resources between regions, and formulating targeted prevention and control strategies.
DOI: 10.6084/m9.figshare.31143970
title: Supplementary Material for: Beyond Ingestion: Nasal Inhalation–Induced Aristolochic Acid Nephropathy from a Traditional Herbal Remedy: A Case Report

description: Introduction: Aristolochic acid nephropathy (AAN), a progressive form of interstitial nephritis, is predominantly associated with the oral ingestion of herbal remedies containing aristolochic acid (AA). 
Case Presentation: This report details a rare case of AAN linked to nasal inhalation of a traditional herbal preparation. An 80-year-old monk with chronic kidney disease (CKD) and rapidly declining kidney function underwent kidney biopsy, revealing severe interstitial fibrosis, tubular atrophy, and the presence of AA-DNA adducts, confirming the diagnosis. Further investigation uncovered prolonged use of a nasal inhalation remedy for alertness and nasal decongestion. Analysis of the preparation using LC-DAD-qTOF identified aristolochic acid I, directly linking the remedy to the renal pathology. 
Conclusion: This case highlights a previously underrecognized route of AA exposure and underscores the critical importance of comprehensive history-taking, increased regulation of alternative medicines, and public awareness to prevent similar cases of nephrotoxicity.
DOI: 10.6084/m9.figshare.31143970.v1
title: Supplementary Material for: Beyond Ingestion: Nasal Inhalation–Induced Aristolochic Acid Nephropathy from a Traditional Herbal Remedy: A Case Report

description: Introduction: Aristolochic acid nephropathy (AAN), a progressive form of interstitial nephritis, is predominantly associated with the oral ingestion of herbal remedies containing aristolochic acid (AA). 
Case Presentation: This report details a rare case of AAN linked to nasal inhalation of a traditional herbal preparation. An 80-year-old monk with chronic kidney disease (CKD) and rapidly declining kidney function underwent kidney biopsy, revealing severe interstitial fibrosis, tubular atrophy, and the presence of AA-DNA adducts, confirming the diagnosis. Further investigation uncovered prolonged use of a nasal inhalation remedy for alertness and nasal decongestion. Analysis of the preparation using LC-DAD-qTOF identified aristolochic acid I, directly linking the remedy to the renal pathology. 
Conclusion: This case highlights a previously underrecognized route of AA exposure and underscores the critical importance of comprehensive history-taking, increased regulation of alternative medicines, and public awareness to prevent similar cases of nephrotoxicity.
DOI: 10.15468/dl.ur3z5p
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ficus racemosa",
 "Year 1960-2010"
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009109-260120142942310/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.30717029
title: Data&Codes

description: Data and codes for manuscript titled `An LLM-Integrated Multi-Layer Framework for Fine-Grained Activity Inference in Human Trajectory Data'.
DOI: 10.6084/m9.figshare.30717029.v2
title: Data&Codes

description: Data and codes for manuscript titled `An LLM-Integrated Multi-Layer Framework for Fine-Grained Activity Inference in Human Trajectory Data'.
DOI: 10.6084/m9.figshare.30717029.v1
title: Data&Codes

description: Data and codes for manuscript titled `An LLM-Integrated Multi-Layer Framework for Fine-Grained Activity Inference in Human Trajectory Data'.