cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18723495
title: KINO SANOATIDA SUN'IY INTELLEKT TEXNOLOGIYALARINING AMALIY QO'LLANILISHI VA RIVOJLANISH TENDENSIYALARI

description: Mazkur tezis maqolada kino sanoatida sun’iy intellekt (AI) texnologiyalarining qo‘llanilish yo‘nalishlari, amaliy ahamiyati va istiqbolli rivojlanish tendensiyalari tahlil qilinadi. Sun’iy intellekt ssenariy yaratish, post-prodakshn, vizual effektlar, marketing va distribyutsiya jarayonlarida muhim rol o‘ynayotgani ko‘rsatib beriladi. Tadqiqot natijalari AI texnologiyalarining kino industriyasida samaradorlikni oshirish, xarajatlarni kamaytirish hamda kreativ jarayonlarni qo‘llab-quvvatlash imkoniyatlarini tasdiqlaydi.
DOI: 10.5281/zenodo.18723496
title: KINO SANOATIDA SUN'IY INTELLEKT TEXNOLOGIYALARINING AMALIY QO'LLANILISHI VA RIVOJLANISH TENDENSIYALARI

description: Mazkur tezis maqolada kino sanoatida sun’iy intellekt (AI) texnologiyalarining qo‘llanilish yo‘nalishlari, amaliy ahamiyati va istiqbolli rivojlanish tendensiyalari tahlil qilinadi. Sun’iy intellekt ssenariy yaratish, post-prodakshn, vizual effektlar, marketing va distribyutsiya jarayonlarida muhim rol o‘ynayotgani ko‘rsatib beriladi. Tadqiqot natijalari AI texnologiyalarining kino industriyasida samaradorlikni oshirish, xarajatlarni kamaytirish hamda kreativ jarayonlarni qo‘llab-quvvatlash imkoniyatlarini tasdiqlaydi.
DOI: 10.15468/dl.jny3z6
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gallinula chloropus"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033825-260208012135463/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.31384540
title: Supplementary Material for: Deep brain stimulation for intractable hiccups due to diaphragmatic dystonia: first reported case

description: Inroduction: Chronic hiccups (singultus) are involuntary diaphragmatic contractions that, when persistent, can cause severe physical and psychological distress. While most cases are benign and self-limited, intractable hiccups may rarely indicate underlying neurological dysfunction. One exceptionally rare cause is diaphragmatic dystonia—a condition for which no established diagnostic criteria or treatment guidelines exist, and which has been described only in isolated case reports. This is the first reported case of diaphragmatic dystonia treated with deep brain stimulation (DBS) targeting the internal (GPi) and external (GPe) segments of the globus pallidus, thereby expanding the scientific understanding of its management.
Case Presentation: We present the first known case of deep brain stimulation of the internal and external globus pallidus used to treat chronic, treatment-resistant hiccups. A 70-year-old woman experienced two years of continuous hiccups unresponsive to multiple pharmacologic and surgical interventions. Extensive diagnostics excluded metabolic, neurological, gastrointestinal, and psychiatric causes. Diaphragmatic dystonia was suspected. Bilateral octa-contact DBS electrodes were implanted targeting the GPi and GPe.Intraoperative monopolar stimulation (1.5 mA, 90 µs, 130 Hz) was initiated on day of surgery. Electrodes were accurately placed without complications.
Results: Near-complete resolution of hiccups occurred immediately postoperatively. Quality of life significantly improved: Numerical Rating Scale (NRS) from 8 to 0, EQ-5D-3L from 0.530 to 1.0, Fahn-Marsden Dystonia Scale from 13 to 0, and PHQ-9 from 16 to 4. At the 14-month follow-up, the improvement was fully maintained.
Conclusion: DBS targeting the globus pallidus may represent a novel and effective intervention for refractory chronic hiccups, particularly in cases suspected to involve diaphragmatic dystonia.
DOI: 10.6084/m9.figshare.31384540.v1
title: Supplementary Material for: Deep brain stimulation for intractable hiccups due to diaphragmatic dystonia: first reported case

description: Inroduction: Chronic hiccups (singultus) are involuntary diaphragmatic contractions that, when persistent, can cause severe physical and psychological distress. While most cases are benign and self-limited, intractable hiccups may rarely indicate underlying neurological dysfunction. One exceptionally rare cause is diaphragmatic dystonia—a condition for which no established diagnostic criteria or treatment guidelines exist, and which has been described only in isolated case reports. This is the first reported case of diaphragmatic dystonia treated with deep brain stimulation (DBS) targeting the internal (GPi) and external (GPe) segments of the globus pallidus, thereby expanding the scientific understanding of its management.
Case Presentation: We present the first known case of deep brain stimulation of the internal and external globus pallidus used to treat chronic, treatment-resistant hiccups. A 70-year-old woman experienced two years of continuous hiccups unresponsive to multiple pharmacologic and surgical interventions. Extensive diagnostics excluded metabolic, neurological, gastrointestinal, and psychiatric causes. Diaphragmatic dystonia was suspected. Bilateral octa-contact DBS electrodes were implanted targeting the GPi and GPe.Intraoperative monopolar stimulation (1.5 mA, 90 µs, 130 Hz) was initiated on day of surgery. Electrodes were accurately placed without complications.
Results: Near-complete resolution of hiccups occurred immediately postoperatively. Quality of life significantly improved: Numerical Rating Scale (NRS) from 8 to 0, EQ-5D-3L from 0.530 to 1.0, Fahn-Marsden Dystonia Scale from 13 to 0, and PHQ-9 from 16 to 4. At the 14-month follow-up, the improvement was fully maintained.
Conclusion: DBS targeting the globus pallidus may represent a novel and effective intervention for refractory chronic hiccups, particularly in cases suspected to involve diaphragmatic dystonia.
DOI: 10.6084/m9.figshare.31384543
title: Supplementary Material for: Peripheral expression of dopamine genes as a biomarker for cocaine addiction in humans

description: Introduction: Objective measures for severity of addiction are needed to identify and appropriately stratify patients into effective treatment groups for intervention and recovery. Our aim was to determine if blood-derived, dopamine-related biomarkers hold predictive validity in patients with cocaine use disorder.

Methods: 349 participants [163 patients with moderate-to-severe cocaine use disorder (CUD), 186 healthy control participants without a history of substance use disorder] were recruited for a cross-sectional case-control study in the East of England, UK. Data on individual differences in cocaine use disorder-related traits, e.g., impulsivity, sensation-seeking, were collected. Measurements included mRNA transcription of dopamine-related genes (DRD2, DRD3, DRD4, and COMT) and risk alleles (rs6277, rs1800497, rs12364283, rs6280, and rs4680).

Results: CUD patients showed elevated DRD2 mRNA in peripheral blood (B0=0.43, 95% CI [0.13, 0.73], pFDR=0.020) and the DRD2-related rs6277 risk allele was associated with CUD diagnosis (Odds ratio [OR]= 2.16, 95% CI [1.15, 4.17], p=0.02). DRD2 mRNA levels related to self-reported impulsivity (B0=−0.17, 95% CI [−0.32, −0.03], p=0.013).

Conclusions: Blood-based expression of DRD2 may be a useful biomarker related to CUD diagnosis and related traits.
DOI: 10.6084/m9.figshare.31384543.v1
title: Supplementary Material for: Peripheral expression of dopamine genes as a biomarker for cocaine addiction in humans

description: Introduction: Objective measures for severity of addiction are needed to identify and appropriately stratify patients into effective treatment groups for intervention and recovery. Our aim was to determine if blood-derived, dopamine-related biomarkers hold predictive validity in patients with cocaine use disorder.

Methods: 349 participants [163 patients with moderate-to-severe cocaine use disorder (CUD), 186 healthy control participants without a history of substance use disorder] were recruited for a cross-sectional case-control study in the East of England, UK. Data on individual differences in cocaine use disorder-related traits, e.g., impulsivity, sensation-seeking, were collected. Measurements included mRNA transcription of dopamine-related genes (DRD2, DRD3, DRD4, and COMT) and risk alleles (rs6277, rs1800497, rs12364283, rs6280, and rs4680).

Results: CUD patients showed elevated DRD2 mRNA in peripheral blood (B0=0.43, 95% CI [0.13, 0.73], pFDR=0.020) and the DRD2-related rs6277 risk allele was associated with CUD diagnosis (Odds ratio [OR]= 2.16, 95% CI [1.15, 4.17], p=0.02). DRD2 mRNA levels related to self-reported impulsivity (B0=−0.17, 95% CI [−0.32, −0.03], p=0.013).

Conclusions: Blood-based expression of DRD2 may be a useful biomarker related to CUD diagnosis and related traits.
DOI: 10.15468/dl.xz83cp
title: Occurrence Download

description: A dataset containing 858676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "Country is Viet Nam",
 "OccurrenceStatus is Present",
 "Year 2000-2026"
 ]
}

 The dataset includes 858676 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033802-260208012135463/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.31384546
title: Supplementary Material for: Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach

description: Introduction: Early identification for preventing drug misuse among adolescents and young adults (AYAs) is more cost-effective than drug treatment. However, there is a lack of scientific and comprehensive risk models for early identification. This study aimed to construct risk models and association pathways that integrate psychosocial factors influencing drug misuse in AYAs using a machine learning approach.
Methods: This cross-sectional study included 1,012 Chinese AYAs aged 14-35 years and was conducted from June to December 2023. Key psychosocial factors for drug misuse were identified using the least absolute shrinkage and selection operator and Boruta. A voting classifier combining logistic regression, K-Nearest Neighbors, support vector machine, and 5-fold cross-validation was used for model training and bootstrapping method wan applied for testing. Shapley additive explanation was used to determine the importance of each risk factor. A Bayesian network (BN) model was constructed to explore possible association pathways for drug misuse. 
Results: A total of 3.85% of participants reported drug misuse. Significant risk factors included environmental exposure to drug misusers, working in nightlife venues, cognition of traditional drug types, perceived risks of drug misuse, permissive attitude towards drug misuse, refusal self-efficacy of drug misuse, externalizing problem behavior, sensation-seeking, and adverse childhood experiences (ACEs). The voting model showed strong performance (recall: 94.10%; area under the curve: 98.11%; accuracy: 92.63%; precision: 34.15%; F-score: 49.68%). The BN model revealed that ACEs played a central role in risk assessment of drug misuse. AYAs working in nightlife venues, with low refusal self-efficacy of drug misuse, and exposure to drug misusers, had exceeding 90% probability of drug misuse.
Conclusion: ACEs serve as a primary risk factor, with a significant impact on social environmental influences. AYAs with ACEs and those working in nightlife venues require targeted and early interventions to prevent drug misuse.
DOI: 10.6084/m9.figshare.31384546.v1
title: Supplementary Material for: Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach

description: Introduction: Early identification for preventing drug misuse among adolescents and young adults (AYAs) is more cost-effective than drug treatment. However, there is a lack of scientific and comprehensive risk models for early identification. This study aimed to construct risk models and association pathways that integrate psychosocial factors influencing drug misuse in AYAs using a machine learning approach.
Methods: This cross-sectional study included 1,012 Chinese AYAs aged 14-35 years and was conducted from June to December 2023. Key psychosocial factors for drug misuse were identified using the least absolute shrinkage and selection operator and Boruta. A voting classifier combining logistic regression, K-Nearest Neighbors, support vector machine, and 5-fold cross-validation was used for model training and bootstrapping method wan applied for testing. Shapley additive explanation was used to determine the importance of each risk factor. A Bayesian network (BN) model was constructed to explore possible association pathways for drug misuse. 
Results: A total of 3.85% of participants reported drug misuse. Significant risk factors included environmental exposure to drug misusers, working in nightlife venues, cognition of traditional drug types, perceived risks of drug misuse, permissive attitude towards drug misuse, refusal self-efficacy of drug misuse, externalizing problem behavior, sensation-seeking, and adverse childhood experiences (ACEs). The voting model showed strong performance (recall: 94.10%; area under the curve: 98.11%; accuracy: 92.63%; precision: 34.15%; F-score: 49.68%). The BN model revealed that ACEs played a central role in risk assessment of drug misuse. AYAs working in nightlife venues, with low refusal self-efficacy of drug misuse, and exposure to drug misusers, had exceeding 90% probability of drug misuse.
Conclusion: ACEs serve as a primary risk factor, with a significant impact on social environmental influences. AYAs with ACEs and those working in nightlife venues require targeted and early interventions to prevent drug misuse.
DOI: 10.15468/dl.qh3tmv
title: Occurrence Download

description: A dataset containing 8410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cistenides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8410 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033826-260208012135463/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.31368250
title: THE FOREST CARBON PARADOX: NOVEL INSIGHTS INTO CHINA’S FOREST-ECONOMY-EMISSIONS RELATIONSHIPS

description: dataset and code for THE FOREST CARBON PARADOX: NOVEL INSIGHTS INTO CHINA’S FOREST-ECONOMY-EMISSIONS RELATIONSHIPS. <br>Original data was set tain_data in the files.
DOI: 10.6084/m9.figshare.31368250.v1
title: THE FOREST CARBON PARADOX: NOVEL INSIGHTS INTO CHINA’S FOREST-ECONOMY-EMISSIONS RELATIONSHIPS

description: dataset and code for THE FOREST CARBON PARADOX: NOVEL INSIGHTS INTO CHINA’S FOREST-ECONOMY-EMISSIONS RELATIONSHIPS. <br>Original data was set tain_data in the files.
DOI: 10.15468/dl.9adtqc
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fulica atra"
 ]
}

 The dataset includes 180 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033829-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18723531
title: PEDAGOGIK FIKRDA MAHORAT TARIXI VA MAKTAB AMALIYOTIDA O'QITUVCHI MAHORATI PEDAGOGIK IMKONIYATLAR

description: Mazkur maqolada pedagogik fikr taraqqiyoti jarayonida o‘qituvchi mahorati tushunchasining shakllanishi va rivojlanish bosqichlari tahlil qilinadi. Sharq va G‘arb mutafakkirlarining pedagogik qarashlari asosida o‘qituvchi shaxsiga qo‘yilgan talablar yoritiladi. Shuningdek, zamonaviy maktab amaliyotida o‘qituvchi mahoratining ta’lim sifati va samaradorligini oshirishdagi pedagogik imkoniyatlari ko‘rsatib beriladi. Maqolada o‘qituvchining kasbiy kompetensiyasi, metodik tayyorgarligi, muloqot madaniyati va ijodiy yondashuvining o‘quvchi shaxsini rivojlantirishdagi o‘rni ilmiy-nazariy jihatdan asoslanadi.
DOI: 10.5281/zenodo.18723530
title: PEDAGOGIK FIKRDA MAHORAT TARIXI VA MAKTAB AMALIYOTIDA O'QITUVCHI MAHORATI PEDAGOGIK IMKONIYATLAR

description: Mazkur maqolada pedagogik fikr taraqqiyoti jarayonida o‘qituvchi mahorati tushunchasining shakllanishi va rivojlanish bosqichlari tahlil qilinadi. Sharq va G‘arb mutafakkirlarining pedagogik qarashlari asosida o‘qituvchi shaxsiga qo‘yilgan talablar yoritiladi. Shuningdek, zamonaviy maktab amaliyotida o‘qituvchi mahoratining ta’lim sifati va samaradorligini oshirishdagi pedagogik imkoniyatlari ko‘rsatib beriladi. Maqolada o‘qituvchining kasbiy kompetensiyasi, metodik tayyorgarligi, muloqot madaniyati va ijodiy yondashuvining o‘quvchi shaxsini rivojlantirishdagi o‘rni ilmiy-nazariy jihatdan asoslanadi.
DOI: 10.15468/dl.kbutx7
title: Occurrence Download

description: A dataset containing 2446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, South America)",
 "TaxonKey is Remiz coronatus"
 ]
}

 The dataset includes 2446 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033830-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17043/oden-geoeo-2024-bathymetry-1
title: High-resolution bathymetry data from expedition GEOEO, North of Greenland, 2024
DOI: 10.15468/dl.3tws33
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Himantopus himantopus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033832-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkk725
title: Occurrence Download

description: A dataset containing 93822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera japonica"
 ]
}

 The dataset includes 93822 records from 995 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033787-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/8vfsm
title: The Impact of Events Scale-Revised (IES-R): Validation of the Ukrainian Version

description: Impact of Events Scale – Revised, traumatic stress, trauma assessment, Russo-Ukrainian war, war trauma.
DOI: 10.15468/dl.7bjm45
title: Occurrence Download

description: A dataset containing 5373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cochlodesma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5373 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033833-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nput7g
title: Occurrence Download

description: A dataset containing 22710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year is 2026",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 22710 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033827-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptytvx
title: Occurrence Download

description: A dataset containing 336391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Year is 2025",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 336391 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033828-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18723576
title: Evaluation Results for ShExpose Approach

description: This dataset contains the evaluation results of the batch_benchmark.py script. This script benchmarked the performance of ShExpose's CRUD operations (create, read, update, delete) across different batch sizes. The evaluation script can be found at https://purl.org/shexpose/code
DOI: 10.5281/zenodo.18723577
title: Evaluation Results for ShExpose Approach

description: This dataset contains the evaluation results of the batch_benchmark.py script. This script benchmarked the performance of ShExpose's CRUD operations (create, read, update, delete) across different batch sizes. The evaluation script can be found at https://purl.org/shexpose/code
DOI: 10.15468/dl.djk7k3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Recurvirostra avosetta"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033834-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18723324
title: Evaluation Results for SBAC (Shape-based Access Control) Approach

description: This dataset contains the results for the run of the following evaluation scripts:

- `policy.js` - for policy performance evaluation- `kgsizes.js` - for query execution time for a specific knowledge graph (LUBM queries)

The evaluation scripts can be found at https://purl.org/sbac/code
DOI: 10.5281/zenodo.18723323
title: Evaluation Results for SBAC (Shape-based Access Control) Approach

description: This dataset contains the results for the run of the following evaluation scripts:

- `policy.js` - for policy performance evaluation- `kgsizes.js` - for query execution time for a specific knowledge graph (LUBM queries)

The evaluation scripts can be found at https://purl.org/sbac/code
DOI: 10.6084/m9.figshare.31384501
title: Data for "Anomalous terahertz nonlinearity in disordered s-wave superconductor close to the superconductor-insulator transition"

description: This dataset was used in the article <i>“Anomalous terahertz nonlinearity in disordered s-wave superconductor close to the superconductor-insulator transition.”</i> The data are stored in Origin project files (<code>.opju</code>). If you are unable to open the files due to an older version of Origin, please update to the latest version of Origin to access the data.