cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8yxrztg233.2
title: Depression as a Longitudinal Modulator of Physical–Verbal Aggression in Early Adolescence: Trajectories and Sex Comparisons

description: Background: Early adolescence represents a critical period for the emergence and consolidation of both depressive symptoms and aggressive behavior, yet the developmental interplay between these phenomena remains insufficiently understood. While previous research has established cross‑sectional associations between depression and aggression, longitudinal evidence that captures their temporal dynamics and potential sex‑specific patterns is scarce.

Objective: This study examined (a) the longitudinal effect of depression on physical–verbal aggression from ages 10.8 to 12.8, and (b) whether sex moderates this association.

Method: A three wave longitudinal design was conducted with 251 adolescents (66.5% girls) recruited from public and private schools in Madrid. Depression and physical–verbal aggression were measured using validated self‑report instruments. Repeated Measures ANOVA (RM‑ANOVA) was employed to assess within‑ and between‑subject effects, and a clinically significant cut‑off score for aggression (≥21.5) was determined through ROC‑based procedures to strengthen diagnostic interpretation across waves.

Results: Depression significantly shaped the trajectory of aggression, producing a quadratic pattern characterized by an initial rise between ages 10.8 and 11.8 followed by a decline at age 12.8, yet remaining above clinically significant levels throughout. No sex-by-depression interaction emerged; however, depressed boys exhibited notably higher and more persistent aggression than girls, with smaller declines across time. In contrast, girls with depression approached the clinical threshold at age 12.8.

Conclusion: Depression acts as a robust longitudinal modulator of physical–verbal aggression in early adolescence. Findings underscore the importance of developmentally sensitive assessment, early screening, and sex‑informed prevention strategies to detect high‑risk trajectories before they consolidate.
DOI: 10.5281/zenodo.18376537
title: Kultura sławy w porozbiorowej Polsce (c. 1795-1831)
title: The Culture of Fame in Post-Partition Poland

description: Baza obejmuje notki z badań nad materiałami prasowymi i publikacyjnymi ze wskazanego okresu. Notatki dotyczą pojęcia, praktyki oraz przykładów działania sławy, rozumianej jako społeczny mechanizm wyróżniania jednostek, szczególnie pod kątem jej modernizacji oraz l'histoire de la célébrité.
DOI: 10.5281/zenodo.18376536
title: Kultura sławy w porozbiorowej Polsce (c. 1795-1831)
title: The Culture of Fame in Post-Partition Poland

description: Baza obejmuje notki z badań nad materiałami prasowymi i publikacyjnymi ze wskazanego okresu. Notatki dotyczą pojęcia, praktyki oraz przykładów działania sławy, rozumianej jako społeczny mechanizm wyróżniania jednostek, szczególnie pod kątem jej modernizacji oraz l'histoire de la célébrité.
DOI: 10.5281/zenodo.18376608
title: MALDI-TOF-MS_rawdata_HS_bas_5h_24h

description: Human serum

N-glycoprofile

Raw data

.r
DOI: 10.5281/zenodo.18376609
title: MALDI-TOF-MS_rawdata_HS_bas_5h_24h

description: Human serum

N-glycoprofile

Raw data

.r
DOI: 10.17632/p398kdw9nj
title: two-dimensional soot morphology and nanostruture in AcoF

description: The research data of the article of 'An Experimental Investigation on the Two-dimensional Distribution of Soot Morphology and Nanostructure in Axisymmetric co-flow Flames'
DOI: 10.17632/p398kdw9nj.1
title: two-dimensional soot morphology and nanostruture in AcoF

description: The research data of the article of 'An Experimental Investigation on the Two-dimensional Distribution of Soot Morphology and Nanostructure in Axisymmetric co-flow Flames'
DOI: 10.17632/gmsxtcrfgt
title: Data for “From Oil to Carbon: Structural Breaks and Risk Transmission in Carbon and Energy Futures”

description: Overview
This dataset contains daily price and return series for three key markets over December 1, 2008 to December 31, 2020: Brent crude oil futures (fossil energy benchmark), European Renewable Energy Index (ERIX) (clean energy performance proxy), and EU Allowance (EUA) carbon futures (European carbon market benchmark). The data are used to examine time-varying dependence, tail dependence, and volatility spillovers across the carbon–oil–clean energy system.
Data sources
Brent crude oil futures: collected from the U.S. Energy Information Administration (EIA) petroleum price database.
Clean energy market (ERIX): retrieved from Bloomberg. ERIX tracks renewable energy firms with substantial exposure to at least one of the following clusters: marine, geothermal, wind, water, biofuels, and solar. Constituents are selected among the largest and most liquid eligible firms, and weights combine fixed component weights with market-value-based weights.
Carbon market (EUA): the EUA futures contract is used (rather than spot) and collected from Wind (sourced from ECX/ICE listings).
Contract and sample construction
Why EUA futures instead of spot: spot prices can be more volatile and reflect short-term supply-demand conditions, while futures incorporate forward-looking price discovery and can better represent the market’s valuation of carbon scarcity.
Sample window choice: the sample starts on December 1, 2008 to avoid the EU ETS Phase I, whose EUA return dynamics differ materially from later phases due to regulatory and trading mechanism changes, and to maintain data availability consistency across series. The sample covers EU ETS Phases II and III.
Continuous EUA series: a continuous carbon futures price series is constructed using daily settlement prices from December-expiry EUA contracts (Dec08 through Dec20). For each calendar year, the settlement prices of the corresponding December delivery contract are used to form a continuous daily series.
Data processing and variables
Frequency: daily observations.
How to interpret and use the dataset
Brent represents the global fossil-energy benchmark widely used in pricing and risk management.
ERIX captures market valuation of listed renewable energy firms and can be used as a clean-energy proxy.
EUA futures represent the forward price of carbon allowances in the European emissions trading system and are suitable for analyses that require forward-looking carbon pricing information.
Researchers can use these series to replicate dependence and spillover analyses, test alternative models (e.g., different copulas, regime definitions, or volatility specifications), or extend the system with additional assets and macro factors.
DOI: 10.17632/gmsxtcrfgt.2
title: Data for “From Oil to Carbon: Structural Breaks and Risk Transmission in Carbon and Energy Futures”

description: Overview
This dataset contains daily price and return series for three key markets over December 1, 2008 to December 31, 2020: Brent crude oil futures (fossil energy benchmark), European Renewable Energy Index (ERIX) (clean energy performance proxy), and EU Allowance (EUA) carbon futures (European carbon market benchmark). The data are used to examine time-varying dependence, tail dependence, and volatility spillovers across the carbon–oil–clean energy system.
Data sources
Brent crude oil futures: collected from the U.S. Energy Information Administration (EIA) petroleum price database.
Clean energy market (ERIX): retrieved from Bloomberg. ERIX tracks renewable energy firms with substantial exposure to at least one of the following clusters: marine, geothermal, wind, water, biofuels, and solar. Constituents are selected among the largest and most liquid eligible firms, and weights combine fixed component weights with market-value-based weights.
Carbon market (EUA): the EUA futures contract is used (rather than spot) and collected from Wind (sourced from ECX/ICE listings).
Contract and sample construction
Why EUA futures instead of spot: spot prices can be more volatile and reflect short-term supply-demand conditions, while futures incorporate forward-looking price discovery and can better represent the market’s valuation of carbon scarcity.
Sample window choice: the sample starts on December 1, 2008 to avoid the EU ETS Phase I, whose EUA return dynamics differ materially from later phases due to regulatory and trading mechanism changes, and to maintain data availability consistency across series. The sample covers EU ETS Phases II and III.
Continuous EUA series: a continuous carbon futures price series is constructed using daily settlement prices from December-expiry EUA contracts (Dec08 through Dec20). For each calendar year, the settlement prices of the corresponding December delivery contract are used to form a continuous daily series.
Data processing and variables
Frequency: daily observations.
How to interpret and use the dataset
Brent represents the global fossil-energy benchmark widely used in pricing and risk management.
ERIX captures market valuation of listed renewable energy firms and can be used as a clean-energy proxy.
EUA futures represent the forward price of carbon allowances in the European emissions trading system and are suitable for analyses that require forward-looking carbon pricing information.
Researchers can use these series to replicate dependence and spillover analyses, test alternative models (e.g., different copulas, regime definitions, or volatility specifications), or extend the system with additional assets and macro factors.
DOI: 10.17632/5jm2v6hgxn.1
title: Data for “Detection of geospatial Anomalies and structural risks in geological layers through 3D gradient analysis using Machine Learning”
DOI: 10.6084/m9.figshare.31098316.v1
title: Detecting Black Hole and Volcano Tidal Patterns in Free-floating Bike-sharing Systems

description: This file contains the code and data for the two-stage detection method of FFBS (free-floating bike sharing) tidal patterns (i.e., management subzone division and tidal pattern detection).
DOI: 10.17632/xxcwx6g4bx
title: Experimental data for Cu(II) adsorption on chitosan–alginate–CaCO₃ biocomposites

description: This dataset contains the experimental adsorption isotherms and kinetic data for Cu(II) removal using hierarchically porous chitosan–alginate–CaCO₃ biocomposites. Data include equilibrium adsorption capacities and adsorption kinetics obtained using different copper counter-ions under controlled experimental conditions.
DOI: 10.17632/xxcwx6g4bx.1
title: Experimental data for Cu(II) adsorption on chitosan–alginate–CaCO₃ biocomposites

description: This dataset contains the experimental adsorption isotherms and kinetic data for Cu(II) removal using hierarchically porous chitosan–alginate–CaCO₃ biocomposites. Data include equilibrium adsorption capacities and adsorption kinetics obtained using different copper counter-ions under controlled experimental conditions.
DOI: 10.17632/ntfdb4xgh8
title: Volcanic risk, uncertainty and destination image: Media narratives of the El Hierro eruption_NEWSPAPERS DATASET

description: This database contains 2,073 press articles and news items published between July 22nd and December 31st, 2011, related to the submarine volcano eruption that occurred in El Hierro Island (Canary Islands). It includes a diverse range of journalistic pieces, including news articles, editorials, interviews, records, reports, reviews and opinion pieces, sourced from both regional and national newspapers. The period under analysis coincided with the initial appearance of press articles on the subject and extends through the entire time of the underwater eruption. The database was compiled with Microsoft Excel. The analysis of the journalistic records was conducted in RStudio using various packages.
DOI: 10.17632/ntfdb4xgh8.1
title: Volcanic risk, uncertainty and destination image: Media narratives of the El Hierro eruption_NEWSPAPERS DATASET

description: This database contains 2,073 press articles and news items published between July 22nd and December 31st, 2011, related to the submarine volcano eruption that occurred in El Hierro Island (Canary Islands). It includes a diverse range of journalistic pieces, including news articles, editorials, interviews, records, reports, reviews and opinion pieces, sourced from both regional and national newspapers. The period under analysis coincided with the initial appearance of press articles on the subject and extends through the entire time of the underwater eruption. The database was compiled with Microsoft Excel. The analysis of the journalistic records was conducted in RStudio using various packages.
DOI: 10.17632/6t7syspcbw
title: Cyclic Voltammetry Data of Esterase functionalized Screen Printed Electrodes for Quantification of Methyl Paraben

description: The data submitted the Cyclic Voltammetry analysis of Esterase activated SPE for detection of Methylparaben
DOI: 10.17632/6t7syspcbw.1
title: Cyclic Voltammetry Data of Esterase functionalized Screen Printed Electrodes for Quantification of Methyl Paraben

description: The data submitted the Cyclic Voltammetry analysis of Esterase activated SPE for detection of Methylparaben
DOI: 10.17632/5c5p49w6n7
title: Major element, trace element and Ti isotope data

description: This dataset contains major and trace element compositions, as well as Ti isotope data, measured on lunar basalts from the Chang’e-5 landing site. Analyses were performed using TIMA, EPMA, LA-Q-ICP-MS, and LA-MC-ICP-MS techniques. The dataset provides key geochemical constraints on the petrogenesis and mantle source characteristics of young (&lt;2 Ga) mare basalts on the Moon.
DOI: 10.17632/5c5p49w6n7.3
title: Major element, trace element and Ti isotope data

description: This dataset contains major and trace element compositions, as well as Ti isotope data, measured on lunar basalts from the Chang’e-5 landing site. Analyses were performed using TIMA, EPMA, LA-Q-ICP-MS, and LA-MC-ICP-MS techniques. The dataset provides key geochemical constraints on the petrogenesis and mantle source characteristics of young (&lt;2 Ga) mare basalts on the Moon.
DOI: 10.17632/33hbpvd2mz
title: Grapevine vs. Open-Network Information Diffusion: Risk Dynamics and Thresholds in the SGIR Framework

description: This dataset and code (Matlab) are associated with the article "Grapevine vs. Open-Network Information Diffusion: Risk Dynamics and Thresholds in the SGIR Framework".
DOI: 10.17632/33hbpvd2mz.1
title: Grapevine vs. Open-Network Information Diffusion: Risk Dynamics and Thresholds in the SGIR Framework

description: This dataset and code (Matlab) are associated with the article "Grapevine vs. Open-Network Information Diffusion: Risk Dynamics and Thresholds in the SGIR Framework".
DOI: 10.17172/nomad/2026.01.26-1
title: NOMAD dataset: Cao et al. Sodiated 2D TMDs
DOI: 10.17632/dgd3nn3fy9
title: Verbal Language Dysfunction in People with Schizophrenia: Implications for Psychotherapy and Mental Health

description: Abstarct: 
Purpose. This article aims to analyze the forms of verbal language dysfunction in patients with schizophrenia and their relative dominance, thereby identifying factors influencing these differences in dominance.
Methods. This study used data from verbal interactions with schizophrenia patients in the residual and hebephrenic phases who were treated at two psychiatric hospitals, namely RSJ Prof. H.B. Saanin, Padang, and RS Dr. Soeharto Heerdjan, Jakarta. These two hospitals represent the contexts of regional and urban areas. The data were analyzed using theories of language dysfunction in psycholinguistics by Andreasen, Nugroho, as well as the semantic theory by Cruse.
Result. The results of the study show ten forms of verbal language dysfunction in patients with schizophrenia, namely incoherence, blocking (Hemmung), Sperrung, neologism, repetition, word salad, and language anomalies including improbability, dissonance, and pleonasm. The most dominant form of verbal language dysfunction in both hospitals was incoherence. In addition, improbability was more noticeable at RSJ Prof. H.B. Saanin, while neologism was more dominant at RS Dr. Soeharto Heerdjan. This difference in dominance is influenced by patients’ social, environmental, and linguistic backgrounds.
Conclusions. Verbal language dysfunction in patients with schizophrenia is not only related to disturbances in thought content but also reflects disruptions in the language system at the semantic, lexical, and grammatical levels, which interact with the patients’ socio-cultural context.
DOI: 10.17632/dgd3nn3fy9.2
title: Verbal Language Dysfunction in People with Schizophrenia: Implications for Psychotherapy and Mental Health

description: Abstarct: 
Purpose. This article aims to analyze the forms of verbal language dysfunction in patients with schizophrenia and their relative dominance, thereby identifying factors influencing these differences in dominance.
Methods. This study used data from verbal interactions with schizophrenia patients in the residual and hebephrenic phases who were treated at two psychiatric hospitals, namely RSJ Prof. H.B. Saanin, Padang, and RS Dr. Soeharto Heerdjan, Jakarta. These two hospitals represent the contexts of regional and urban areas. The data were analyzed using theories of language dysfunction in psycholinguistics by Andreasen, Nugroho, as well as the semantic theory by Cruse.
Result. The results of the study show ten forms of verbal language dysfunction in patients with schizophrenia, namely incoherence, blocking (Hemmung), Sperrung, neologism, repetition, word salad, and language anomalies including improbability, dissonance, and pleonasm. The most dominant form of verbal language dysfunction in both hospitals was incoherence. In addition, improbability was more noticeable at RSJ Prof. H.B. Saanin, while neologism was more dominant at RS Dr. Soeharto Heerdjan. This difference in dominance is influenced by patients’ social, environmental, and linguistic backgrounds.
Conclusions. Verbal language dysfunction in patients with schizophrenia is not only related to disturbances in thought content but also reflects disruptions in the language system at the semantic, lexical, and grammatical levels, which interact with the patients’ socio-cultural context.
DOI: 10.5281/zenodo.18217336
title: Datasets for "Day-night cloud aqueous chemistry diverges organic molecules pathways and health implications"
DOI: 10.5281/zenodo.18376708
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.
DOI: 10.5517/ccdc.csd.ccrj3jw
title: CCDC 700678: Experimental Crystal Structure Determination

description: Related Article: Jorge A. Tovilla, Simón Hernández-Ortega, Jesús Valdés-Martínez|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m366|doi:10.1107/S1600536809006898
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/ccdc.csd.ccw1djt
title: CCDC 805706: Experimental Crystal Structure Determination

description: Related Article: Guan-E Wang, Ming-Sheng Wang, Xiao-Ming Jiang, Guang-Ning Liu, Li-Zhen Cai, Guo-Cong Guo, Jin-Shun Huang|2011|Scientia Sinica Chimica|41|717|doi:10.1360/032010-958
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/ccrj3hv
title: CCDC 700677: Experimental Crystal Structure Determination

description: Related Article: Jorge A. Tovilla, Simón Hernández-Ortega, Jesús Valdés-Martínez|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m366|doi:10.1107/S1600536809006898
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/ccdc.csd.ccw1dgr
title: CCDC 805704: Experimental Crystal Structure Determination

description: Related Article: Guan-E Wang, Ming-Sheng Wang, Xiao-Ming Jiang, Guang-Ning Liu, Li-Zhen Cai, Guo-Cong Guo, Jin-Shun Huang|2011|Scientia Sinica Chimica|41|717|doi:10.1360/032010-958
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/ccdc.csd.ccw1dhs
title: CCDC 805705: Experimental Crystal Structure Determination

description: Related Article: Guan-E Wang, Ming-Sheng Wang, Xiao-Ming Jiang, Guang-Ning Liu, Li-Zhen Cai, Guo-Cong Guo, Jin-Shun Huang|2011|Scientia Sinica Chimica|41|717|doi:10.1360/032010-958
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/ccdc.csd.cc12vsnc
title: CCDC 1008853: Experimental Crystal Structure Determination

description: Related Article: Júlia Cisilotto, Misael Ferreira, Fabíola Branco Filippin-Monteiro, Adailton João Bortoluzzi, Marcus Mandolesi Sá and Tânia Beatriz Creczynski-Pasa|2015|Anti-Cancer Agents in Medicinal Chemistry|15|353|doi:10.2174/1871520614666141130125148
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/ccdc.csd.cc1l9wh8
title: CCDC 1469260: Experimental Crystal Structure Determination

description: Related Article: Jingwei Wu, Wei Ji, Jian Qu, Su Jing, Chang Liu, Dunru Zhu|2024|CSD Communication|||
description: Related Article: Wei Ji, Jian Qu, Cheng-An Li, Jing-Wei Wu, Su Jing, Fei Gao, Yi-Nong Lv, Chang Liu, Dun-Ru Zhu, Xiao-Min Ren, Wei Huang|2017|Applied Catalysis B: Environmental|205|368|doi:10.1016/j.apcatb.2016.12.041
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.