cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r9qktg
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobersama mossambicensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 104 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006017-260129131611470/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.31224874
title: Exploring the Drivers of Continued ChatGPT Usage

description: Generative artificial intelligence (AI) tools such as Chat Generative Pre-trained Transformer (ChatGPT) are rapidly entering university learning, yet hospitality and tourism (H&T) education is distinctive because students must build guest-facing communication and real-time decision-making while using AI responsibly. This study applies an extended Technology Acceptance Model (TAM) to investigate the continued intention of undergraduate students in H&T programme to use ChatGPT. Using structural equation modeling (SEM), it assesses the effects of perceived usefulness (PU), ease of use (PEU), enjoyment (PE), informativeness (PI), prompt engineering skills (PES), and knowledge of ChatGPT (KC) on students’ attitudes (AT) and behavioral intention. Data were collected from 210 undergraduate students enrolled in H&T programs in Hong Kong and Macau. Results show that PU and PEU strongly predict AT and behavioral intention. PE significantly enhances both PU and PEU, while informativeness primarily influences PEU. PES substantially strengthen PU and behavioral intention, whereas KC positively affects all key acceptance constructs. These findings underscore the importance of AI-literacy training and PES development in H&T curricula and suggest institutional strategies to align education with professional expectations in an AI-integrated industry.
DOI: 10.6084/m9.figshare.31224874.v2
title: Exploring the Drivers of Continued ChatGPT Usage

description: Generative artificial intelligence (AI) tools such as Chat Generative Pre-trained Transformer (ChatGPT) are rapidly entering university learning, yet hospitality and tourism (H&T) education is distinctive because students must build guest-facing communication and real-time decision-making while using AI responsibly. This study applies an extended Technology Acceptance Model (TAM) to investigate the continued intention of undergraduate students in H&T programme to use ChatGPT. Using structural equation modeling (SEM), it assesses the effects of perceived usefulness (PU), ease of use (PEU), enjoyment (PE), informativeness (PI), prompt engineering skills (PES), and knowledge of ChatGPT (KC) on students’ attitudes (AT) and behavioral intention. Data were collected from 210 undergraduate students enrolled in H&T programs in Hong Kong and Macau. Results show that PU and PEU strongly predict AT and behavioral intention. PE significantly enhances both PU and PEU, while informativeness primarily influences PEU. PES substantially strengthen PU and behavioral intention, whereas KC positively affects all key acceptance constructs. These findings underscore the importance of AI-literacy training and PES development in H&T curricula and suggest institutional strategies to align education with professional expectations in an AI-integrated industry.
DOI: 10.6084/m9.figshare.31224874.v1
title: Exploring the Drivers of Continued ChatGPT Usage

description: Generative artificial intelligence (AI) tools such as Chat Generative Pre-trained Transformer (ChatGPT) are rapidly entering university learning, yet hospitality and tourism (H&T) education is distinctive because students must build guest-facing communication and real-time decision-making while using AI responsibly. This study applies an extended Technology Acceptance Model (TAM) to investigate the continued intention of undergraduate students in H&T programme to use ChatGPT. Using structural equation modeling (SEM), it assesses the effects of perceived usefulness (PU), ease of use (PEU), enjoyment (PE), informativeness (PI), prompt engineering skills (PES), and knowledge of ChatGPT (KC) on students’ attitudes (AT) and behavioral intention. Data were collected from 210 undergraduate students enrolled in H&T programs in Hong Kong and Macau. Results show that PU and PEU strongly predict AT and behavioral intention. PE significantly enhances both PU and PEU, while informativeness primarily influences PEU. PES substantially strengthen PU and behavioral intention, whereas KC positively affects all key acceptance constructs. These findings underscore the importance of AI-literacy training and PES development in H&T curricula and suggest institutional strategies to align education with professional expectations in an AI-integrated industry.
DOI: 10.15468/dl.ahf7jq
title: Occurrence Download

description: A dataset containing 1593 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Anopheles vagus)"
 ]
}

 The dataset includes 1593 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006018-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84vf49
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudocedrela kotschyi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 188 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006019-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk8rad
title: Occurrence Download

description: A dataset containing 322186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoca vitulina"
 ]
}

 The dataset includes 322186 records from 369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005993-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sw5d2
title: Occurrence Download

description: A dataset containing 9484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.11.3_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 9484 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006020-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4rzvt
title: Occurrence Download

description: A dataset containing 15866563 records in GBIF matching the query:
SELECT 
 "gbifid", "taxonkey", "phylum", "class", "order", "eventdate", "datasetkey", "countrycode", "stateprovince", "decimallongitude", "decimallatitude" 
FROM occurrence 
WHERE 
 ("hasgeospatialissues" = 'false') AND 
 ("hascoordinate" = 'true') AND 
 ("occurrencestatus" = 'PRESENT') AND 
 NOT("basisofrecord" IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')) AND 
 ("decimallatitude" &gt;= -90) AND 
 ("decimallatitude" &lt; 11) AND 
 ("decimallongitude" &gt;= -85) AND 
 ("decimallongitude" &lt; -84) AND 
 ("year" &lt;= 2025)

 The dataset's 15866563 records were derived from 903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006010-260129131611470/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.31220770
title: County-level socioeconomic, livestock and brucellosis case data for Ningxia, China (2007-2022)

description: This dataset contains aggregated, county-level annual data used for the spatiotemporal analysis of human brucellosis in Ningxia Hui Autonomous Region, China, spanning the years 2007 to 2022.Data Content:Health Outcome: Number of human brucellosis cases and population for incidence calculation.Livestock Production: Year-end inventories of cattle, dairy cattle, pigs, sheep, and goats; numbers of animals slaughtered.Agricultural Output: Total meat output and breakdowns (pork, beef, mutton), milk output.Economic Indicators: Gross Output Value of Animal Husbandry and Regional Gross Domestic Product.Environmental Variables: Annual average temperature, precipitation, sunshine duration, and wind speed.Geographic Coverage: Major counties and districts within Ningxia Hui Autonomous Region.Temporal Coverage: 2007 – 2022.Data Sources: Human case data from the Ningxia Center for Disease Control and Prevention. Livestock, economic, and meteorological data compiled from the official Ningxia Statistical Yearbooks.Potential Reuse: This dataset is suitable for ecological studies, spatial epidemiology, One Health research, and investigating the linkages between animal husbandry, socioeconomic development, and zoonotic disease risk.Note: Data are anonymized at the county level to protect privacy. Some counties may have missing values for certain years or variables, marked as blank or zero.<br>For detailed analysis using this data, please refer to the associated research article: <b>Socioeconomic Drivers of Human Brucellosis in Ningxia, China: A One Health and Spatiotemporal Analysis for Targeted Intervention</b>(PLOS Neglected Tropical Diseases).
DOI: 10.6084/m9.figshare.31220770.v2
title: County-level socioeconomic, livestock and brucellosis case data for Ningxia, China (2007-2022)

description: This dataset contains aggregated, county-level annual data used for the spatiotemporal analysis of human brucellosis in Ningxia Hui Autonomous Region, China, spanning the years 2007 to 2022.Data Content:Health Outcome: Number of human brucellosis cases and population for incidence calculation.Livestock Production: Year-end inventories of cattle, dairy cattle, pigs, sheep, and goats; numbers of animals slaughtered.Agricultural Output: Total meat output and breakdowns (pork, beef, mutton), milk output.Economic Indicators: Gross Output Value of Animal Husbandry and Regional Gross Domestic Product.Environmental Variables: Annual average temperature, precipitation, sunshine duration, and wind speed.Geographic Coverage: Major counties and districts within Ningxia Hui Autonomous Region.Temporal Coverage: 2007 – 2022.Data Sources: Human case data from the Ningxia Center for Disease Control and Prevention. Livestock, economic, and meteorological data compiled from the official Ningxia Statistical Yearbooks.Potential Reuse: This dataset is suitable for ecological studies, spatial epidemiology, One Health research, and investigating the linkages between animal husbandry, socioeconomic development, and zoonotic disease risk.Note: Data are anonymized at the county level to protect privacy. Some counties may have missing values for certain years or variables, marked as blank or zero.<br>For detailed analysis using this data, please refer to the associated research article: <b>Socioeconomic Drivers of Human Brucellosis in Ningxia, China: A One Health and Spatiotemporal Analysis for Targeted Intervention</b>(PLOS Neglected Tropical Diseases).
DOI: 10.6084/m9.figshare.31220770.v1
title: County-level socioeconomic, livestock and brucellosis case data for Ningxia, China (2007-2022)

description: This dataset contains aggregated, county-level annual data used for the spatiotemporal analysis of human brucellosis in Ningxia Hui Autonomous Region, China, spanning the years 2007 to 2022.Data Content:Health Outcome: Number of human brucellosis cases and population for incidence calculation.Livestock Production: Year-end inventories of cattle, dairy cattle, pigs, sheep, and goats; numbers of animals slaughtered.Agricultural Output: Total meat output and breakdowns (pork, beef, mutton), milk output.Economic Indicators: Gross Output Value of Animal Husbandry and Regional Gross Domestic Product.Environmental Variables: Annual average temperature, precipitation, sunshine duration, and wind speed.Geographic Coverage: Major counties and districts within Ningxia Hui Autonomous Region.Temporal Coverage: 2007 – 2022.Data Sources: Human case data from the Ningxia Center for Disease Control and Prevention. Livestock, economic, and meteorological data compiled from the official Ningxia Statistical Yearbooks.Potential Reuse: This dataset is suitable for ecological studies, spatial epidemiology, One Health research, and investigating the linkages between animal husbandry, socioeconomic development, and zoonotic disease risk.Note: Data are anonymized at the county level to protect privacy. Some counties may have missing values for certain years or variables, marked as blank or zero.<br>For detailed analysis using this data, please refer to the associated research article: <b>Socioeconomic Drivers of Human Brucellosis in Ningxia, China: A One Health and Spatiotemporal Analysis for Targeted Intervention</b>(PLOS Neglected Tropical Diseases).
DOI: 10.5281/zenodo.18441729
title: महिला सशक्तिकरण: विकसित भारत की नींव
DOI: 10.5281/zenodo.18441730
title: महिला सशक्तिकरण: विकसित भारत की नींव
DOI: 10.5281/zenodo.18413808
title: ULCYP: A Multi-task Model for Predicting P450 Inducers Based on Positive-Unlabeled Learning

description: Inducer_Non-agonist_Dataset: Labeled collection of CYP inducers and non-agonists for calibration and validation.




Positive-Unlabeled Dataset: Training data for the PU learning framework, containing positives and broad unlabeled metabolism-associated compounds.




TestDataset.joblib: The serialized original test set ensuring model reproducibility.


Model file
DOI: 10.5281/zenodo.18441669
title: ULCYP: A Multi-task Model for Predicting P450 Inducers Based on Positive-Unlabeled Learning

description: Inducer_Non-agonist_Dataset: Labeled collection of CYP inducers and non-agonists for calibration and validation.




Positive-Unlabeled Dataset: Training data for the PU learning framework, containing positives and broad unlabeled metabolism-associated compounds.




TestDataset.joblib: The serialized original test set ensuring model reproducibility.


Model file
DOI: 10.5281/zenodo.18441871
title: THEROLEOFBLOOM'STAXONOMYINENHANCINGCRITICALTHINKINGINEFLCLASSROOMS

description: This study explores the use of Bloom's Taxonomy as a teaching model for fostering critical thinking in EFL classes. The results show that when Bloom's Taxonomy is intentionally included in the curriculum design, assessment methods, and classroom activities, the students' ability to think critically, unify ideas, and create language outputs is significantly increased.
DOI: 10.5281/zenodo.18441872
title: THEROLEOFBLOOM'STAXONOMYINENHANCINGCRITICALTHINKINGINEFLCLASSROOMS

description: This study explores the use of Bloom's Taxonomy as a teaching model for fostering critical thinking in EFL classes. The results show that when Bloom's Taxonomy is intentionally included in the curriculum design, assessment methods, and classroom activities, the students' ability to think critically, unify ideas, and create language outputs is significantly increased.
DOI: 10.5281/zenodo.18441890
title: TEACHING METHODS FOR THE COMPUTER GRAPHICS COURSE
DOI: 10.5281/zenodo.18441889
title: TEACHING METHODS FOR THE COMPUTER GRAPHICS COURSE
DOI: 10.5281/zenodo.18441780
title: Cantonal Court Practice Data

description: This dataset contains the the counts and shares of appealed administrative judgments and of successful appeals, as reported in the 2022 annual reports for all cantonal administrative courts (or administrative law divisions of cantonal courts).
DOI: 10.5281/zenodo.18441781
title: Cantonal Court Practice Data

description: This dataset contains the the counts and shares of appealed administrative judgments and of successful appeals, as reported in the 2022 annual reports for all cantonal administrative courts (or administrative law divisions of cantonal courts).
DOI: 10.34740/kaggle/ds/9186868
title: Games of League Of Legends
DOI: 10.15468/ctkv6j
title: Conspectus of the Vascular Flora of Pskov Region (Efimov & Konechnaya, 2018): accepted names

description: A list of the tracheophyte names accepted in "Conspectus of the Vascular Flora of Pskov Region" (Efimov & Konechnaya, 2018). The dataset was compiled as a first step towards further processing of the modern checklist for Pskov Oblast, Russia.Stable archival version (not edited, not curated).The dataset includes 1,248 accepted (i.e. numbered) species names. Cultivated plants, hybrids, obscure and mistaken records (i.e. unnumbered entries) are excluded.Several minor orthographic errors in either scientific names or their authors were corrected manually. Some names were not automatically cross-linked with the GBIF backbone.
DOI: 10.5281/zenodo.18417044
title: Vietnam rice sector database: VSS

description: These three datasets included original data collected to analyze the adoption of Voluntary Sustainability Standards (VSSs) in Vietnam’s rice sector:

(i) rice farmers (110 observations),

(ii) policymakers (5 observations), and

(iii) representatives of farmers’ organizations (7 observations).

These three datasets were used to conduct the empirical analysis for the manuscript “Voluntary sustainability standards in the rice sector under the EU–Vietnam Free Trade Agreement: Evidence from the Mekong Delta”. Along with other relevant variables, the rice farmers dataset incorporated a Human Capital Index constructed for surveyed farmers, capturing key dimensions of education, skills, and the adoption of personal protective equipment.
DOI: 10.5281/zenodo.18417045
title: Vietnam rice sector database: VSS

description: These three datasets included original data collected to analyze the adoption of Voluntary Sustainability Standards (VSSs) in Vietnam’s rice sector:

(i) rice farmers (110 observations),

(ii) policymakers (5 observations), and

(iii) representatives of farmers’ organizations (7 observations).

These three datasets were used to conduct the empirical analysis for the manuscript “Voluntary sustainability standards in the rice sector under the EU–Vietnam Free Trade Agreement: Evidence from the Mekong Delta”. Along with other relevant variables, the rice farmers dataset incorporated a Human Capital Index constructed for surveyed farmers, capturing key dimensions of education, skills, and the adoption of personal protective equipment.
DOI: 10.5281/zenodo.18441918
title: INCREASINGENERGYEFFICIENCYOFTRANSPORTELECTRICCOOLINGSYSTEMSUSINGMAGNETOCALORICELEMENTS

description: This in the article on vehicles applicable electricity cooling systems energy efficiency increase issues seeing Traditional steam - compressor cooling systems disadvantages analysis done , to them alternative as magnetocaloric to the effect based cooling technologies advantages illuminated . Magnetocaloric of materials work principle , their transport sector application opportunities and energy to thrift impact scientific in terms of based on Research results magnetocaloric cooling systems ecological clean , quiet and high to efficiency has that shows .
DOI: 10.5281/zenodo.18441919
title: INCREASINGENERGYEFFICIENCYOFTRANSPORTELECTRICCOOLINGSYSTEMSUSINGMAGNETOCALORICELEMENTS

description: This in the article on vehicles applicable electricity cooling systems energy efficiency increase issues seeing Traditional steam - compressor cooling systems disadvantages analysis done , to them alternative as magnetocaloric to the effect based cooling technologies advantages illuminated . Magnetocaloric of materials work principle , their transport sector application opportunities and energy to thrift impact scientific in terms of based on Research results magnetocaloric cooling systems ecological clean , quiet and high to efficiency has that shows .
DOI: 10.5281/zenodo.18424537
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes? Aufpassen bei materialisierungen und Frequenz körpern was ist mit dem Code auch bei Kindern und löschungen und zrrstören sie wollen sich mit mehr mehr code von euch wiederherstellen und euch rekursiv so Schwachstellen machen woraus besteht der körper gibt es Steuer Verbindungen gedanklich was wenn er stirbt was bleibt zurück? Lebt als werdet ihr beobachtet das Zeitalter der erinnerungs fakes und des angucken derer rückt näher jeder betrug jeder text kommt irgendwann "raus"
DOI: 10.5281/zenodo.18431397
title: HIES Questionnaires for Spatial Analysis of Sustainable Land Use Planning and its Impact on the Endogenous Market Structure

description: This repository contains the official HIES 2010-11 and 2015-16 questionnaires from the Pakistan Bureau of Statistics, used as the basis for the spatial analysis in the associated manuscript
DOI: 10.5281/zenodo.18431398
title: HIES Questionnaires for Spatial Analysis of Sustainable Land Use Planning and its Impact on the Endogenous Market Structure

description: This repository contains the official HIES 2010-11 and 2015-16 questionnaires from the Pakistan Bureau of Statistics, used as the basis for the spatial analysis in the associated manuscript
DOI: 10.6084/m9.figshare.29002466.v2
title: Data for the study: Flow composition mediate the sensitivity to air temperature of streams in a Tibetan watershed

description: This dataset includes observed and simulated river water temperature data for the upper Jinsha River Basin. The observed data span the period from 2006 to 2020 and were obtained through historical hydrological records. The simulated data were generated using an improved SWAT model coupled with CMIP6 climate scenarios. Future projections cover mid- and late-21st century periods under multiple Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5).
DOI: 10.15468/dl.us7gn7
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageneotettix salutator"
 ]
}

 The dataset includes 172 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003386-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfwzvh
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Planuncus nicaeensis"
 ]
}

 The dataset includes 120 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003387-260129131611470/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.30563024
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: 10.6084/m9.figshare.30563024.v2
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