cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i24212113v11i2p66
title: The impact of multigroup ethnic identity and collective self-esteem on college students' mental health: a structural equation modeling approach

description: This study examines the relationships between Multigroup Ethnic Identity (MEI), Collective Self-Esteem (CSES), and mental health outcomes in a multicultural context. A sample of 305 Indonesian university students was used to explore how MEI influences CSES dimensions—identity-based self-esteem, group membership esteem, private self-regard, and public self-perception—and indirectly affects mental health, measured by the Mental Health Continuum-Short Form (MHC-SF). Validated psychometric tools were used for data collection, and structural equation modeling analyzed relationships and mediating effects. Results showed significant positive correlations between MEI and all CSES dimensions. However, only the public dimension of CSES mediated the relationship between MEI and mental health, emphasizing the role of social validation and public image in psychological well-being. While private, membership, and identity dimensions of CSES were positively linked to MEI, they did not mediate mental health outcomes. These findings highlight MEI as a psychological resource that enhances resilience in diverse intergroup settings. Practical implications suggest fostering MEI in educational and professional environments to promote self-esteem and mental well-being. Limitations, such as reliance on cross-sectional data, are noted, with recommendations for future longitudinal and experimental research to deepen understanding. This study contributes to the literature on the positive impact of ethnic identity in multicultural contexts.
DOI: 10.17632/wyj639rjj7
title: Prevalence of Post‑Traumatic Stress Disorder and Anxiety in Conflict‑Affected Populations of Palestine, Sudan, and Yemen: A Systematic Review and Meta‑Analysis

description: Abstract 
Background: Armed conflict in Palestine, Sudan, and Yemen has displaced millions and exposed civilians to chronic trauma. Post‑traumatic stress disorder (PTSD) and anxiety are among the most common mental health consequences, yet no systematic synthesis has pooled prevalence estimates across these three contexts.

Methods: We conducted a systematic review and meta‑analysis in accordance with PRISMA 2020 guidelines. PubMed, Scopus, PsycINFO, and Web of Science were searched up to September 2025. Eligible studies were observational, English‑language, and reported PTSD or anxiety prevalence among civilians, refugees, or internally displaced persons (IDPs) in Palestine, Sudan, or Yemen. Data were extracted on sample size, instruments, cut‑offs, and outcomes. Risk of bias was assessed using the Joanna Briggs Institute (JBI) checklist. Random‑effects models with logit transformation were used to pool prevalence, with subgroup analyses by country, displacement type, population, and instrument.

Results: Twelve studies (n ≈ 5,700 participants) were included. Pooled PTSD prevalence was 38% (95% CI: 32–44%), with high heterogeneity (I² = 86%). Anxiety prevalence was 34% (95% CI: 27–41%). Subgroup analyses showed higher PTSD prevalence in Yemen (45%) compared to Palestine (37%) and Sudan (33%). IDPs and refugees had higher prevalence than nondisplaced civilians. Children and adolescents exhibited greater PTSD prevalence (42%) than adults (35%). Studies using the Child PTSD Symptom Scale (CPSS) reported higher prevalence than those using the PCL or HTQ. Sensitivity analyses excluding high‑risk studies yielded similar results.

Conclusion: PTSD and anxiety are highly prevalent in conflict‑affected populations of Palestine, Sudan, and Yemen, particularly among displaced groups and children. These findings underscore the urgent need for scalable, culturally adapted mental health interventions and sustained humanitarian support.

Keywords: Post‑traumatic stress disorder; Anxiety; Refugees; Internally displaced persons; Palestine; Sudan; Yemen; Meta‑analysis; Conflict; Mental health
DOI: 10.17632/wyj639rjj7.1
title: Prevalence of Post‑Traumatic Stress Disorder and Anxiety in Conflict‑Affected Populations of Palestine, Sudan, and Yemen: A Systematic Review and Meta‑Analysis

description: Abstract 
Background: Armed conflict in Palestine, Sudan, and Yemen has displaced millions and exposed civilians to chronic trauma. Post‑traumatic stress disorder (PTSD) and anxiety are among the most common mental health consequences, yet no systematic synthesis has pooled prevalence estimates across these three contexts.

Methods: We conducted a systematic review and meta‑analysis in accordance with PRISMA 2020 guidelines. PubMed, Scopus, PsycINFO, and Web of Science were searched up to September 2025. Eligible studies were observational, English‑language, and reported PTSD or anxiety prevalence among civilians, refugees, or internally displaced persons (IDPs) in Palestine, Sudan, or Yemen. Data were extracted on sample size, instruments, cut‑offs, and outcomes. Risk of bias was assessed using the Joanna Briggs Institute (JBI) checklist. Random‑effects models with logit transformation were used to pool prevalence, with subgroup analyses by country, displacement type, population, and instrument.

Results: Twelve studies (n ≈ 5,700 participants) were included. Pooled PTSD prevalence was 38% (95% CI: 32–44%), with high heterogeneity (I² = 86%). Anxiety prevalence was 34% (95% CI: 27–41%). Subgroup analyses showed higher PTSD prevalence in Yemen (45%) compared to Palestine (37%) and Sudan (33%). IDPs and refugees had higher prevalence than nondisplaced civilians. Children and adolescents exhibited greater PTSD prevalence (42%) than adults (35%). Studies using the Child PTSD Symptom Scale (CPSS) reported higher prevalence than those using the PCL or HTQ. Sensitivity analyses excluding high‑risk studies yielded similar results.

Conclusion: PTSD and anxiety are highly prevalent in conflict‑affected populations of Palestine, Sudan, and Yemen, particularly among displaced groups and children. These findings underscore the urgent need for scalable, culturally adapted mental health interventions and sustained humanitarian support.

Keywords: Post‑traumatic stress disorder; Anxiety; Refugees; Internally displaced persons; Palestine; Sudan; Yemen; Meta‑analysis; Conflict; Mental health
DOI: 10.5517/cc5k5pk
title: CCDC 165468: Experimental Crystal Structure Determination

description: Related Article: J.Li Kao, D.Carrillo, A.Vega, M.T.Garland|2002|Bol.Soc.Chil.Quim.|47|5|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/xc6p9j7zwz
title: Mirror Within: Exploring the Impact of Physical Activity in Body Image and Anxiety in Youth

description: The data include demographic information and participants’ responses to the scale.
DOI: 10.5517/cc564wc
title: CCDC 154872: Experimental Crystal Structure Determination

description: Related Article: Ling Ye, Cheng-ling Pan, De-Qing Chu, Li-min Wang, Zhong-cheng Mu, Ji-Qing Xu|2002|Chem.Res.Chin.Univ.|18|474|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/xc6p9j7zwz.1
title: Mirror Within: Exploring the Impact of Physical Activity in Body Image and Anxiety in Youth

description: The data include demographic information and participants’ responses to the scale.
DOI: 10.17632/3hdsjcfdsy
title: China's supply chain digitalization reduces urban air pollutants and carbon emissions locally

description: This study constructs a balanced panel dataset of 279 prefecture-level cities in China from 2005 to 2021 to examine how supply-chain digitalization (SCD) influences urban pollution and carbon reduction (lnPCR). The main independent variable, SCD, is defined as the interaction between a time dummy (policy implementation period) and a policy dummy (pilot vs. non-pilot cities) under the 2018 Supply Chain Innovation and Application Pilot Policy (SCIAPP). The dependent variable, lnPCR, captures the combined effect of urban pollution and carbon emissions, measured as the interaction between an environmental pollution index and carbon emission levels. The control variables include urbanization level (Urban), population size (lnSize), urban economic density (lnEco), financial development level (Finance), fiscal decentralization (Fiscal), and degree of openness (Foreign), all reflecting socioeconomic and institutional characteristics of each city. The mechanism variables—green technological innovation (Green_pat), government innovation support (Inno_support), and energy consumption (lnenergy)—capture potential transmission pathways of SCD’s environmental effects. Data were drawn from national and provincial statistical yearbooks, CEADs, and government databases, ensuring consistency and comparability across cities and years.
DOI: 10.17632/3hdsjcfdsy.3
title: China's supply chain digitalization reduces urban air pollutants and carbon emissions locally

description: This study constructs a balanced panel dataset of 279 prefecture-level cities in China from 2005 to 2021 to examine how supply-chain digitalization (SCD) influences urban pollution and carbon reduction (lnPCR). The main independent variable, SCD, is defined as the interaction between a time dummy (policy implementation period) and a policy dummy (pilot vs. non-pilot cities) under the 2018 Supply Chain Innovation and Application Pilot Policy (SCIAPP). The dependent variable, lnPCR, captures the combined effect of urban pollution and carbon emissions, measured as the interaction between an environmental pollution index and carbon emission levels. The control variables include urbanization level (Urban), population size (lnSize), urban economic density (lnEco), financial development level (Finance), fiscal decentralization (Fiscal), and degree of openness (Foreign), all reflecting socioeconomic and institutional characteristics of each city. The mechanism variables—green technological innovation (Green_pat), government innovation support (Inno_support), and energy consumption (lnenergy)—capture potential transmission pathways of SCD’s environmental effects. Data were drawn from national and provincial statistical yearbooks, CEADs, and government databases, ensuring consistency and comparability across cities and years.
DOI: 10.5517/cc5nn2j
title: CCDC 168797: Experimental Crystal Structure Determination

description: Related Article: C.Bustos, M.Matamala, D.Boys, D.Carrillo|2002|Bol.Soc.Chil.Quim.|47|557|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6gcjj
title: CCDC 192557: Experimental Crystal Structure Determination

description: Related Article: Lai Jin Tian, Zhi Cai Shang, Qing Sen Yu, Wen Na Zhao, Bing Zhang|2002|Chin.Chem.Lett.|13|1168|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5c8vm
title: CCDC 159800: Experimental Crystal Structure Determination

description: Related Article: Yuan-Jian Xu, Z.Imiyabir, Yee-Hing Lai, J.J.Vittal, Swee-Hock Goh|2001|ACGC Chem.Res.Commun.|13|37|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/hb7xnrbp5g
title: Dataset for: Adoption of AI Chatbot in the Banking Sector: Impact on Customer Experience

description: The adoption of AI chatbots in the banking industry has revolutionized consumer relations, providing rapid, efficient, and accessible services. This research examines the effects of AI chatbot adoption on customer experience, emphasizing perceived usefulness, ease of use, risk, and trust. A quantitative study methodology was utilized, employing a standardized questionnaire to collect data from 105 bank clients who have engaged with AI chatbots. The questionnaire had Likert-scale items assessing customer satisfaction, usability, and overall experience with AI chatbot services. The researchers used SmartPLS 4 to analyze the relationship between AI chatbot adoption and customer experience. 
Findings demonstrate a substantial positive association between AI chatbot adoption and customer experience, with perceived ease of use, trust, and risk identified as primary adoption factors. The findings indicate that AI chatbots improve customer interactions by delivering prompt and precise responses, enhancing the banking experience. All participants were informed about the purpose of the study and voluntarily provided consent prior to participation. This study enhances the understanding of AI chatbot integration in banking and offers insights for banks aiming to strengthen customer interaction through AI-driven solutions.
DOI: 10.5517/cc6q2gf
title: CCDC 199964: Experimental Crystal Structure Determination

description: Related Article: M. Camara, C. Daiguebonne, K. Boubekeur, T. Roisnel, Y. Gerault, C. Baux, F. Le Dret, O. Guillou|2003|C.R.Acad.Sci.,Ser.C (Chim)|6|405|
description: Related Article: M.Camara, C.Daiguebonne, K.Boubekeur, T.Roisnel, Y.Gerault, C.Baux, F.Le Dret, O.Guillou|2003|Comptes Rendus Chimie|6|405|doi:10.1016/S1631-0748(03)00057-2
description: Related Article: D.Kustaryono, N.Kerbellec, G.Calvez, S.Freslon, C.Daiguebonne, O.Guillou|2010|Cryst.Growth Des.|10|775|doi:10.1021/cg9011668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/hb7xnrbp5g.1
title: Dataset for: Adoption of AI Chatbot in the Banking Sector: Impact on Customer Experience

description: The adoption of AI chatbots in the banking industry has revolutionized consumer relations, providing rapid, efficient, and accessible services. This research examines the effects of AI chatbot adoption on customer experience, emphasizing perceived usefulness, ease of use, risk, and trust. A quantitative study methodology was utilized, employing a standardized questionnaire to collect data from 105 bank clients who have engaged with AI chatbots. The questionnaire had Likert-scale items assessing customer satisfaction, usability, and overall experience with AI chatbot services. The researchers used SmartPLS 4 to analyze the relationship between AI chatbot adoption and customer experience. 
Findings demonstrate a substantial positive association between AI chatbot adoption and customer experience, with perceived ease of use, trust, and risk identified as primary adoption factors. The findings indicate that AI chatbots improve customer interactions by delivering prompt and precise responses, enhancing the banking experience. All participants were informed about the purpose of the study and voluntarily provided consent prior to participation. This study enhances the understanding of AI chatbot integration in banking and offers insights for banks aiming to strengthen customer interaction through AI-driven solutions.
DOI: 10.5517/cc6q2kj
title: CCDC 199967: Experimental Crystal Structure Determination

description: Related Article: M. Camara, C. Daiguebonne, K. Boubekeur, T. Roisnel, Y. Gerault, C. Baux, F. Le Dret, O. Guillou|2003|C.R.Acad.Sci.,Ser.C (Chim)|6|405|
description: Related Article: M.Camara, C.Daiguebonne, K.Boubekeur, T.Roisnel, Y.Gerault, C.Baux, F.Le Dret, O.Guillou|2003|Comptes Rendus Chimie|6|405|doi:10.1016/S1631-0748(03)00057-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5kfhm
title: CCDC 165710: Experimental Crystal Structure Determination

description: Related Article: Wen-zhen Wang, Xin Liu, Yi Meng, Dai-zheng Liao, Zong-hui Jiang, Shi-ping Yan, Geng-lin Wang|2003|Chem.Res.Chin.Univ.|19|6|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/z6wk2hh826.1
title: Lifetime Accountability and Corporate Investment: Evidence from Chinese State-Owned Enterprises
DOI: 10.5517/cc5nq7r
title: CCDC 168864: Experimental Crystal Structure Determination

description: Related Article: J.K.Maurin, W.Lasek, A.Gorska, T.Switaj, M.Wamil, I.Mlynarczyk, Z.Kazimierczuk|2001|Anti-Cancer Drug Des.|16|73|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7dnkt
title: CCDC 220706: Experimental Crystal Structure Determination

description: Related Article: Zhen Hua Wang, Zhao Long Li, Xiao Yin Hong|2001|Chin.Chem.Lett.|12|1131|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.1285/i24212113v11i2p84
title: Bridging the gap: community engagement as a catalyst for university-community collaboration

description: Community-university engagements are pivotal for addressing societal challenges and cultivating mutual learning and collaboration. Advocating for community engagement as a central strategic element of institutional identity could either align with or differ from community perceptions and expectations, thus potentially leading to disagreements. Embedded within a community-based participatory research approach to community engagement, this study aimed to explore community members' perceptions of what community engagement constitutes, the value they place on this type of interaction, and their expectations from community-university engagements and partnerships. Drawing on a thematic qualitative analysis from four focus group discussions across two communities, the findings highlight that co-construction of knowledge is central to university-community engagement. To bridge the community-expert epistemic gap, academics must adopt epistemic humility and become unbiased, reflexive listeners respecting and valuing community knowledge. This approach is vital for co-creating solutions that address existing local issues and to achieve sustainable, long-term outcomes. The findings offer a pathway for universities to transcend traditional academic silos and urban privilege, facilitating more equitable community-university engagement.
DOI: 10.5517/cc4yx10
title: CCDC 147902: Experimental Crystal Structure Determination

description: Related Article: Bao-long Li, Yan Xu, Yong-jiang Liu, Zheng Xu|2000|Chem.Res.Chin.Univ.|17|237|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18715/ipgp.2025.mh0mem4r
title: ITRF2020-u2023

description: ITRF2020-u2023 is the first ITRF020 update, generated by adding three years (2021.0 – 2024.0) of data after the end of the ITRF2020 input data. The four Technique Centers (IDS, IGS, ILRS, IVS) who provided three years of extended time series of station positions and Earth Orientation Parameters (EOPs) were asked to use the same models and strategies as in their contributions to ITRF2020. ITRF2020-u2023 keeps the same frame parameters (origin, scale and orientation) as ITRF2020. This is intended to avoid any “datum” change in user applications. The computation strategy of ITRF2020-u2023 is identical to that of ITRF2020.
DOI: 10.5517/cc6jh17
title: CCDC 194588: Experimental Crystal Structure Determination

description: Related Article: M.Cindric, N.Strukan, V.Vrdoljak, T.Kajfez, B.Kamenar|2003|Croat.Chem.Acta|76|257|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7h6qm
title: CCDC 223160: Experimental Crystal Structure Determination

description: Related Article: Chen Zhenxia, Zhou Yaming, Weng Linhong, Zhang Haoyu, Zhao Dongyuan|2003|J.Solid State Chem.|173|441|
description: Related Article: Zhenxia Chen, Yaming Zhou, Linhong Weng, Haoyu Zhang, Dongyuan Zhao|2003|J.Solid State Chem.|173|435|doi:10.1016/S0022-4596(03)00139-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc74qqs
title: CCDC 213085: Experimental Crystal Structure Determination

description: Related Article: V.Wing-Wah Yam, Wing-Yin Lo, Nianyong Zhu|2003|Chem.Commun.||2446|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.