cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.1254
title: แนวทางการจัดสวัสดิการสังคมสำหรับ generation Y เพื่อรองรับสังคมผู้สูงอายุ: กรณีศึกษาเขตพื้นที่กรุงเทพมหานคร

description: การศึกษาแนวทางการจัดสวัสดิการสังคมสำหรับ Generation Y เพื่อรองรับสังคมผู้สูงอายุ กรณีศึกษาเขตพื้นที่กรุงเทพมหานคร มีวัตถุประสงค์ในการศึกษาเพื่อศึกษาลักษณะสวัสดิการสังคม ที่เหมาะสมสำหรับผู้สูงอายุ Generation Y เขตพื้นที่กรุงเทพมหานคร และเพื่อเสนอแนะแนวทางการจัดสวัสดิการสังคมสำหรับ Generation Y เพื่อรองรับสังคมผู้สูงอายุ ในเขตพื้นที่เมือง โดยผลการศึกษาที่ได้จะทำให้เข้าใจถึงลักษณะเฉพาะของสวัสดิการสังคมผู้สูงอายุที่ Generation Y เขตพื้นที่กรุงเทพมหานครต้องการ และสามารถนำผลการศึกษาเป็นแนวทางการจัดสวัสดิการสังคมสำหรับGeneration Y เพื่อรองรับสังคมผู้สูงอายุ ในเขตพื้นที่เมืองได้ ซึ่งการศึกษาครั้งนี้ใช้วิธีการศึกษาวิจัยเชิงคุณภาพ โดยการศึกษาข้อมูลการศึกษาวิจัยจากเอกสาร (Documentary Research) ผ่านการทบทวนแนวคิด ทฤษฎี ผลงานวิจัยที่เกี่ยวข้อง และสื่ออิเล็กทรอนิกส์ที่มีความเกี่ยวข้องกับประเด็นการศึกษา และใช้วิธีการสัมภาษณ์แบบสนทนากลุ่ม (Focus Group Discussion) เก็บข้อมูลความเห็นของ Generation Y สุ่มตัวอย่างแบบเฉพาะเจาะจง ได้ผู้มีเข้าร่วมการสนทนากลุ่ม จำนวน 20 คน ประกอบด้วย 3 กลุ่ม ได้แก่ 1) กลุ่ม Generation Y ที่ทำงานในภาครัฐ 2) กลุ่ม Generation Y ที่ทำงานในภาคเอกชน และ 3) กลุ่ม Generation Y ที่ประกอบธุรกิจส่วนตัวหรือประกอบอาชีพอิสระ ผลการศึกษา พบว่า Generation Y มีลักษณะความต้องการที่โดดเด่นเฉพาะ ได้แก่ ความยืดหยุ่น ความหลากหลาย ความเป็นอิสระ ต้องการเทคโนโลยี ต้องการความมั่นคง และการมีส่วนร่วมในสังคม ซึ่งลักษณะพิเศษดังกล่าวส่งผลโดยตรงต่อการออกแบบแนวทางการจัดสวัสดิการสังคมในอนาคต 7 ด้านหลัก ได้แก่ ด้านการศึกษา ด้านที่อยู่อาศัย ด้านสุขภาพอนามัย ด้านการทำงานและการมีรายได้ ด้านความมั่นคงทางสังคม ด้านบริการสังคม และด้านนันทนาการ ซึ่งมีความจำเป็นในการออกแบบนโยบายสาธารณะรูปแบบใหม่ให้เหมาะสมและสอดคล้องกับลักษณะประชากร Generation Y ที่จะเป็นผู้สูงอายุในอนาคต เพื่อรองรับสังคมสูงวัย ข้อเสนอแนะในการศึกษาครั้งนี้ คือ ภาครัฐควรมีแนวทางจัดการสังคมสำหรับ Generation Y ในลักษณะการพัฒนาระบบสวัสดิการแบบ “เลือกได้” (Modular Welfare Model) จัดให้มีการสร้างกลไก “สะสมสิทธิ” ตั้งแต่วัยทำงานเพื่อใช้ในวัยสูงอายุ และพัฒนาเมืองมุ่งไปสู่การเป็น “Smart Aging City” ที่ให้ความสำคัญกับการใช้เทคโนโลยีเพื่อเสริมสร้างคุณภาพชีวิตผู้สูงอายุ รวมถึงพัฒนาระบบร่วมลงทุนทางสังคม ระหว่างรัฐ เอกชน และประชาชน และสุดท้ายควรมีการจัดตั้ง “ศูนย์วางแผนชีวิตและเตรียมความพร้อมสูงวัย” โดยเป็นการเตรียมตัวตั้งแต่ปัจจุบัน เพื่อเป็นเครื่องมือช่วยวางแผนชีวิตรองรับการเป็นผู้สูงอายุในอนาคต
DOI: 10.34740/kaggle/dsv/14341424
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.47r7kz
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus rehderiana"
 ]
}

 The dataset includes 413 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069082-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5hm52z71
title: MassIVE MSV000100356 - Liquid chromatography-mass spectrometry (LC-MS) analysis of intratumoral DOX and DiD concentrations
title: Samples were analyzed using an ACQUITY Premier UPLC system coupled to a Shimadzu LC-MS-8050 mass spectrometer. Separation was achieved on an ACQUITY UPLC C18 column at a flow rate of 0.3 mL/min.
DOI: 10.17632/h3yyt237x7
title: Data for "Strategic Modesty in Conspicuous Consumption, but Not Conspicuous Conservation: Anticipated Future Interactions" Limit Costly Signals

description: Data for "Strategic Modesty in Conspicuous Consumption, but Not Conspicuous Conservation: Anticipated Future Interactions Limit Costly Signals"
Three data files: one for each DV (attitudes and buying intent) of the main study, and one file for the pilot data.
One R file for the analyses of the main study.
DOI: 10.17632/h3yyt237x7.1
title: Data for "Strategic Modesty in Conspicuous Consumption, but Not Conspicuous Conservation: Anticipated Future Interactions" Limit Costly Signals

description: Data for "Strategic Modesty in Conspicuous Consumption, but Not Conspicuous Conservation: Anticipated Future Interactions Limit Costly Signals"
Three data files: one for each DV (attitudes and buying intent) of the main study, and one file for the pilot data.
One R file for the analyses of the main study.
DOI: 10.17632/y9bj7734vf
title: AI-Generated Scientific Text Dataset (AIGTxt)

description: The AI-Generated Scientific Text dataset (AIGTxt) is a collection of scientific texts generated by ChatGPT, designed to support the improvement of AI-generated text detection methods. AIGTxt comprises texts from published academic articles across ten domains. The selected research articles met three main criteria: 
(1) They are written in English. 
(2) Published before 2022 to ensure ChatGPT did not generate them.
(3) Fall within at least one of the following ten domains: computer science and artificial intelligence, natural language processing, medical research and healthcare, materials science and engineering, neuroscience and psychology, genetics and genomics, climate science and environmental studies, mathematics and statistics, astrophysics and astronomy, and social sciences and humanities.
 
The current AIGTxt version contains 10821 records spanning three classes: Human-written, ChatGPT-generated, and Mixed text, with 3607 samples per class. Human-written texts were manually selected from one to three paragraphs located in the introduction, background, or literature review sections of academic papers. The ChatGPT-generated texts were produced by rephrasing the original human-written content. Mixed texts were constructed by combining 50% human-written content with 50% ChatGPT-generated content, providing a balanced representation of blended authorship. The average paragraph length is approximately 168 words, and the dataset contains a rich vocabulary of more than 57,398 unique words (computed after excluding stopwords and citations). Domain-specific statistics reveal that the Computer Science & Artificial Intelligence domain has the highest number of records (1,644), while the Mathematics & Statistics domain has the fewest (645). 

Column Descriptions:
(1) Human text written: Extracted paragraphs from the scientific publications.
(2) ChatGPT text written: Manual interaction with ChatGPT to rewrite the extracted human paragraphs.
(3) Mixed text written: Mixed paragraphs from human text written and ChatGPT text written.
(4) Domain: which identifies the paragraph topic.

** This dataset is associated with the research article: Alhijawi, Bushra, Rawan Jarrar, Aseel AbuAlRub, and Arwa Bader. "Deep learning detection method for large language models-generated scientific content." Neural Computing and Applications 37, no. 1 (2025): 91-104.
DOI: 10.17632/y9bj7734vf.1
title: AI-Generated Scientific Text Dataset (AIGTxt)

description: The AI-Generated Scientific Text dataset (AIGTxt) is a collection of scientific texts generated by ChatGPT, designed to support the improvement of AI-generated text detection methods. AIGTxt comprises texts from published academic articles across ten domains. The selected research articles met three main criteria: 
(1) They are written in English. 
(2) Published before 2022 to ensure ChatGPT did not generate them.
(3) Fall within at least one of the following ten domains: computer science and artificial intelligence, natural language processing, medical research and healthcare, materials science and engineering, neuroscience and psychology, genetics and genomics, climate science and environmental studies, mathematics and statistics, astrophysics and astronomy, and social sciences and humanities.
 
The current AIGTxt version contains 10821 records spanning three classes: Human-written, ChatGPT-generated, and Mixed text, with 3607 samples per class. Human-written texts were manually selected from one to three paragraphs located in the introduction, background, or literature review sections of academic papers. The ChatGPT-generated texts were produced by rephrasing the original human-written content. Mixed texts were constructed by combining 50% human-written content with 50% ChatGPT-generated content, providing a balanced representation of blended authorship. The average paragraph length is approximately 168 words, and the dataset contains a rich vocabulary of more than 57,398 unique words (computed after excluding stopwords and citations). Domain-specific statistics reveal that the Computer Science & Artificial Intelligence domain has the highest number of records (1,644), while the Mathematics & Statistics domain has the fewest (645). 

Column Descriptions:
(1) Human text written: Extracted paragraphs from the scientific publications.
(2) ChatGPT text written: Manual interaction with ChatGPT to rewrite the extracted human paragraphs.
(3) Mixed text written: Mixed paragraphs from human text written and ChatGPT text written.
(4) Domain: which identifies the paragraph topic.

** This dataset is associated with the research article: Alhijawi, Bushra, Rawan Jarrar, Aseel AbuAlRub, and Arwa Bader. "Deep learning detection method for large language models-generated scientific content." Neural Computing and Applications 37, no. 1 (2025): 91-104.
DOI: 10.17632/84hjf8xgff
title: Neural Network-Informed Optimal Water Flow Problem: Modeling, Algorithm, and Benchmarking

description: This dataset accompanies the article “Neural Network-Informed Optimal Water Flow Problem: Modeling, Algorithm, and Benchmarking” and is intended to support full reproducibility of the numerical experiments. It provides all data needed to (i) construct the two benchmark water distribution networks (NET1 and Anytown), (ii) formulate the associated Optimal Water Flow (OWF) problems, and (iii) train the ICNN and IC2N surrogate models used to approximate pipe friction losses and pump energy consumption. The repository is organized so that researchers can directly reuse the network inputs and training datasets to implement, validate, and extend the proposed neural network-informed optimization framework.

The repository is organized into two main folders, NET1 and Anytown, each corresponding to one case study. Within each of these folders, the Water_network_input subdirectory contains all data needed to build the water network and formulate the OWF problem (including topology, hydraulic parameters, demand profiles, and electricity price profiles), while the Training_data subdirectory contains the supervised learning datasets used to train the neural networks: ICNN for pipe friction losses and IC2N for pump energy consumption.
DOI: 10.17632/84hjf8xgff.1
title: Neural Network-Informed Optimal Water Flow Problem: Modeling, Algorithm, and Benchmarking

description: This dataset accompanies the article “Neural Network-Informed Optimal Water Flow Problem: Modeling, Algorithm, and Benchmarking” and is intended to support full reproducibility of the numerical experiments. It provides all data needed to (i) construct the two benchmark water distribution networks (NET1 and Anytown), (ii) formulate the associated Optimal Water Flow (OWF) problems, and (iii) train the ICNN and IC2N surrogate models used to approximate pipe friction losses and pump energy consumption. The repository is organized so that researchers can directly reuse the network inputs and training datasets to implement, validate, and extend the proposed neural network-informed optimization framework.

The repository is organized into two main folders, NET1 and Anytown, each corresponding to one case study. Within each of these folders, the Water_network_input subdirectory contains all data needed to build the water network and formulate the OWF problem (including topology, hydraulic parameters, demand profiles, and electricity price profiles), while the Training_data subdirectory contains the supervised learning datasets used to train the neural networks: ICNN for pipe friction losses and IC2N for pump energy consumption.
DOI: 10.17632/3j4dyz2xdc
title: Depreciating Rollercoasters and Rhinoceroses

description: The efficacy of the case was evaluated using two IRB approved sources of evidence: 1) a post implementation survey administered to all students after completing the case and 2) questions embedded in the case itself that students completed while interacting with GenAI. Both instruments contained Likert-scale questions, the data of which is openly stored here.
DOI: 10.17632/3j4dyz2xdc.1
title: Depreciating Rollercoasters and Rhinoceroses

description: The efficacy of the case was evaluated using two IRB approved sources of evidence: 1) a post implementation survey administered to all students after completing the case and 2) questions embedded in the case itself that students completed while interacting with GenAI. Both instruments contained Likert-scale questions, the data of which is openly stored here.
DOI: 10.17632/kjh95n54f8
title: HumanVSAI_CodeDataset

description: This repository provides a labeled dataset and accompanying machine learning workflows designed for the binary classification of code snippets based on their provenance: Human-written or AI-generated. The primary objective is to facilitate research of the detection of machine-generated source code.
DOI: 10.17632/kjh95n54f8.1
title: HumanVSAI_CodeDataset

description: This repository provides a labeled dataset and accompanying machine learning workflows designed for the binary classification of code snippets based on their provenance: Human-written or AI-generated. The primary objective is to facilitate research of the detection of machine-generated source code.
DOI: 10.17632/hx9ppv4s38
title: Supplemental Methods for “Variation in Patient Evaluations by Dermatologist Gender: Indication of Gender Bias in Online Reviews”

description: Supplemental Methods for “Variation in Patient Evaluations by Dermatologist Gender: Indication of Gender Bias in Online Reviews”
DOI: 10.17632/hx9ppv4s38.2
title: Supplemental Methods for “Variation in Patient Evaluations by Dermatologist Gender: Indication of Gender Bias in Online Reviews”

description: Supplemental Methods for “Variation in Patient Evaluations by Dermatologist Gender: Indication of Gender Bias in Online Reviews”
DOI: 10.17632/f7gcn8v5rr
title: Supplemental Methods for “Physician Age and Practicing Region Influence Patient Reviews of Dermatologists: Evidence of Bias in Online Reviews”

description: Supplemental Methods for “Physician Age and Practicing Region Influence Patient Reviews of Dermatologists: Evidence of Bias in Online Reviews”
DOI: 10.17632/f7gcn8v5rr.2
title: Supplemental Methods for “Physician Age and Practicing Region Influence Patient Reviews of Dermatologists: Evidence of Bias in Online Reviews”

description: Supplemental Methods for “Physician Age and Practicing Region Influence Patient Reviews of Dermatologists: Evidence of Bias in Online Reviews”
DOI: 10.15468/dl.vnpzbk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acipenser chinensis)",
 "HasCoordinate is true",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069083-251120083545085/datasets/export for details.
DOI: 10.17632/k43x8thkyn.1
title: Aspartate availability drives differential engagement of the malate-aspartate shuttle. Brunner et al
DOI: 10.17632/v6hwp285hx
title: Data Insights on Postpartum Depression Among Women in Niger State, Nigeria

description: This dataset provides comprehensive insights into the influence of information sources and social factors on postpartum depression (PPD) awareness and help-seeking behavior among women in Northern Nigeria. Collected through a cross-sectional survey of 384 women aged 18-49 in Niger State, the data captures demographic profiles, preferred communication channels (interpersonal, electronic, and print media), and their impact on PPD knowledge and health-seeking actions. 
Key features of the dataset include: 
Demographic details: Age, education, employment, marital status, religion, and parity, highlighting disparities in access to information and support. 
Measurement models: Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (PLS-SEM) results validate the reliability and validity of constructs like PPD knowledge and help-seeking behaviour. 
Path analysis: Reveals significant relationships, such as interpersonal and electronic media's strong influence on PPD awareness (β = 0.525–0.551), compared to print media's marginal impact (β = 0.200–0.225). 
Methodological rigor: Multistage stratified sampling ensured urban-rural representation, while SmartPLS-SEM and bootstrapping tested theoretical frameworks like the Theory of Planned Behaviour. 
The dataset, hosted on the Mendeley Data repository, supports the development of customised maternal mental health interventions, policy design, and cross-cultural research in low-resource settings. Its granularity enables replication, secondary analysis, and comparative studies on health communication efficacy. 
Keywords: Postpartum depression, help-seeking behaviour, information sources, SmartPLS-SEM, Northern Nigeria.
DOI: 10.17632/v6hwp285hx.1
title: Data Insights on Postpartum Depression Among Women in Niger State, Nigeria

description: This dataset provides comprehensive insights into the influence of information sources and social factors on postpartum depression (PPD) awareness and help-seeking behavior among women in Northern Nigeria. Collected through a cross-sectional survey of 384 women aged 18-49 in Niger State, the data captures demographic profiles, preferred communication channels (interpersonal, electronic, and print media), and their impact on PPD knowledge and health-seeking actions. 
Key features of the dataset include: 
Demographic details: Age, education, employment, marital status, religion, and parity, highlighting disparities in access to information and support. 
Measurement models: Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (PLS-SEM) results validate the reliability and validity of constructs like PPD knowledge and help-seeking behaviour. 
Path analysis: Reveals significant relationships, such as interpersonal and electronic media's strong influence on PPD awareness (β = 0.525–0.551), compared to print media's marginal impact (β = 0.200–0.225). 
Methodological rigor: Multistage stratified sampling ensured urban-rural representation, while SmartPLS-SEM and bootstrapping tested theoretical frameworks like the Theory of Planned Behaviour. 
The dataset, hosted on the Mendeley Data repository, supports the development of customised maternal mental health interventions, policy design, and cross-cultural research in low-resource settings. Its granularity enables replication, secondary analysis, and comparative studies on health communication efficacy. 
Keywords: Postpartum depression, help-seeking behaviour, information sources, SmartPLS-SEM, Northern Nigeria.
DOI: 10.17632/5xt8bzz2nb
title: Transitional Management Strategies and Sustainable Power Sector Development in South East Nigeria

description: Ordinal logistics regression for the following: Risk Management and Sustainable Energy Security, Project Management and Sustainable Supply Chain and Leadership Transition and Environmental Responsibility
DOI: 10.17632/5xt8bzz2nb.1
title: Transitional Management Strategies and Sustainable Power Sector Development in South East Nigeria

description: Ordinal logistics regression for the following: Risk Management and Sustainable Energy Security, Project Management and Sustainable Supply Chain and Leadership Transition and Environmental Responsibility
DOI: 10.15468/dl.gvmhmf
title: Occurrence Download

description: A dataset containing 241694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acer negundo"
 ]
}

 The dataset includes 241694 records from 1622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069071-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2pg49
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dosinia ponderosa (J.E.Gray, 1838)"
 ]
}

 The dataset includes 939 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133333-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy64h4
title: Occurrence Download

description: A dataset containing 42018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 42018 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004418-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11406489
title: DHI-DHICA-MTX-charg
DOI: 10.5281/zenodo.11406490
title: DHI-DHICA-MTX-charg
DOI: 10.15468/dl.gqdxls
title: Occurrence Download

description: A dataset containing 3516 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Khaya senegalensis (Desv.) A.Juss.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3516 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013201-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ojrayc
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Solenopsis molesta (Say, 1836)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 480 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7ar4e
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "StateProvince is Almería",
 {
 "or" : [
 "TaxonKey is Gymnosporia senegalensis var. europaea (Boiss.) Jahand. & Maire",
 "TaxonKey is Maytenus senegalensis subsp. europaeus (Boiss.) Rivas Mart. ex Güemes & M.B.Crespo"
 ]
 }
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003083-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lbzeql
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avifauna do Parque Nacional da Quiçama"
 ]
}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003084-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.