cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30293761
title: A Latent Class Analysis of Polysubstance Use Patterns and Their Association with Ruminative Thinking Styles, Impulsivity-Like Traits, and Adverse Childhood Experiences Among College Students from Seven Countries

description: Among college students, research has found distinct classes of polysubstance use patterns differentially associated with negative consequences. However, there is less clarity regarding how vulnerability factors discriminate across polysubstance use types and cross-cultural variability in these patterns. In addressing these gaps, we identified typologies of substance use based on reported lifetime use of a set of substances in college students from seven countries. We also examined mean differences across classes on ruminative thinking styles, impulsivity-like traits, and adverse childhood experiences; and compared the proportion of students in each subgroup between pairs of countries. College students located in the U.S., Canada, South Africa, Spain, Argentina, England, and Uruguay completed an online survey following a convenience sampling procedure (<i>n</i> = 9,065; 71% women). Using latent class analysis, we identified Class 1 “Polysubstance Users”, Class 2 “Alcohol, Marijuana, and Tobacco Co-Users”, and Class 3 “Drinkers”. Class 1 exhibited greater adverse childhood experiences, higher ruminative thinking, and greater impulsivity than Classes 2 and 3. Our results suggest that the U.S. was more similar to Spain, Argentina, and Uruguay in alcohol, marijuana, and tobacco co-use than in the other two classes. Additionally, the U.S. was more similar to South Africa regarding polysubstance use than the other classes. Most participants exhibited polysubstance use and constructs with the potential of being targeted in interventions discriminating against these classes. Findings highlight the pervasiveness of these patterns, indicating a need for global prevention efforts to reduce the likelihood of engaging in polysubstance use.
DOI: 10.6084/m9.figshare.30293761.v1
title: A Latent Class Analysis of Polysubstance Use Patterns and Their Association with Ruminative Thinking Styles, Impulsivity-Like Traits, and Adverse Childhood Experiences Among College Students from Seven Countries

description: Among college students, research has found distinct classes of polysubstance use patterns differentially associated with negative consequences. However, there is less clarity regarding how vulnerability factors discriminate across polysubstance use types and cross-cultural variability in these patterns. In addressing these gaps, we identified typologies of substance use based on reported lifetime use of a set of substances in college students from seven countries. We also examined mean differences across classes on ruminative thinking styles, impulsivity-like traits, and adverse childhood experiences; and compared the proportion of students in each subgroup between pairs of countries. College students located in the U.S., Canada, South Africa, Spain, Argentina, England, and Uruguay completed an online survey following a convenience sampling procedure (<i>n</i> = 9,065; 71% women). Using latent class analysis, we identified Class 1 “Polysubstance Users”, Class 2 “Alcohol, Marijuana, and Tobacco Co-Users”, and Class 3 “Drinkers”. Class 1 exhibited greater adverse childhood experiences, higher ruminative thinking, and greater impulsivity than Classes 2 and 3. Our results suggest that the U.S. was more similar to Spain, Argentina, and Uruguay in alcohol, marijuana, and tobacco co-use than in the other two classes. Additionally, the U.S. was more similar to South Africa regarding polysubstance use than the other classes. Most participants exhibited polysubstance use and constructs with the potential of being targeted in interventions discriminating against these classes. Findings highlight the pervasiveness of these patterns, indicating a need for global prevention efforts to reduce the likelihood of engaging in polysubstance use.
DOI: 10.6084/m9.figshare.30285521
title: Use of Electronic Nicotine Delivery Systems for Weight Control Among Sexual and Gender Minority Individuals Who Smoke Cigarettes

description: Sexual and gender minority (SGM) individuals report higher dual use of cigarettes and electronic nicotine delivery system (ENDS) use than heterosexual individuals. Weight control intentions may contribute to these differences, as SGM individuals experience greater body dissatisfaction and engagement in disordered eating behaviors, which may increase the likelihood of using tobacco/nicotine products for weight control. This study examined correlates of ENDS and cigarette use for weight control among SGM individuals who report dual use. Between June-July 2023, 545 SGM adults who reported past 30-day cigarette use completed an online survey. We focused on individuals who also reported past 30-day ENDS use (<i>n</i>  =  174). Bivariate correlations explored associations with ENDS and cigarette use for weight control indexed by the adapted version of the Smoking-Related Weight and Eating Episodes Test for ENDS (SWEET-EC) and original the SWEET for cigarettes. Variables with significant associations were entered into regression models to understand their relationship with using ENDS and cigarettes for weight control. Most participants identified as bisexual (∼48%), women (∼51%), and White (∼68%) with an average age of 35 years (SD = 9.5). Across regression models, gender identity discrimination, disordered eating behaviors and ENDS or cigarette dependence were all positively associated with ENDS and cigarette use for weight control (all <i>ps</i> &lt; 0.05). Tobacco prevention/intervention programs for SGM populations should consider the impacts of gender-based discrimination and disordered eating behaviors on the use of ENDS and cigarettes for weight control. Given effects observed for dependence additional supports for cessation also may be needed.
DOI: 10.6084/m9.figshare.30285521.v1
title: Use of Electronic Nicotine Delivery Systems for Weight Control Among Sexual and Gender Minority Individuals Who Smoke Cigarettes

description: Sexual and gender minority (SGM) individuals report higher dual use of cigarettes and electronic nicotine delivery system (ENDS) use than heterosexual individuals. Weight control intentions may contribute to these differences, as SGM individuals experience greater body dissatisfaction and engagement in disordered eating behaviors, which may increase the likelihood of using tobacco/nicotine products for weight control. This study examined correlates of ENDS and cigarette use for weight control among SGM individuals who report dual use. Between June-July 2023, 545 SGM adults who reported past 30-day cigarette use completed an online survey. We focused on individuals who also reported past 30-day ENDS use (<i>n</i>  =  174). Bivariate correlations explored associations with ENDS and cigarette use for weight control indexed by the adapted version of the Smoking-Related Weight and Eating Episodes Test for ENDS (SWEET-EC) and original the SWEET for cigarettes. Variables with significant associations were entered into regression models to understand their relationship with using ENDS and cigarettes for weight control. Most participants identified as bisexual (∼48%), women (∼51%), and White (∼68%) with an average age of 35 years (SD = 9.5). Across regression models, gender identity discrimination, disordered eating behaviors and ENDS or cigarette dependence were all positively associated with ENDS and cigarette use for weight control (all <i>ps</i> &lt; 0.05). Tobacco prevention/intervention programs for SGM populations should consider the impacts of gender-based discrimination and disordered eating behaviors on the use of ENDS and cigarettes for weight control. Given effects observed for dependence additional supports for cessation also may be needed.
DOI: 10.20383/103.01391
title: Carbon dioxide and methane exchange dynamics from boreal peatland soils under controlled moisture and substrate amendments

description: This data were generated to investigate both the initial and longer-term effects of substrate additions on total soil respiration in Canadian peatlands and to evaluate how moisture conditions and peatland type (bog or fen) interact with these substrates to influence carbon dioxide and methane exchange. The dataset comprises carbon dioxide and methane flux measurements from 96 laboratory incubation jars monitored over a 511-day experimental period. Peat samples were collected from four Canadian peatland sites (Hudson Bay Lowland, Seba Beach, Brazeau, and Spongy Lake) between September 2022 and February 2024. The experiment was conducted under controlled room-temperature conditions, where peat vertical structure was standardized and samples were isolated from live plant communities and natural environmental variability. Gas concentrations were measured using a LI-COR LI-7810 carbon dioxide and methane trace gas analyzer. During each measurement event carbon dioxide and methane concentrations were recorded over a three-minute interval. Fluxes were calculated using the ideal gas law, accounting for chamber headspace volume, atmospheric pressure, and temperature, and were normalized to the initial carbon content of the peat to enable comparison across treatments. In addition to flux values, the dataset includes raw concentration slopes, model fit statistics, environmental conditions (temperature and relative humidity), jar configuration details, substrate treatments, moisture treatments, site codes, peatland classification (bog or fen), and replicate identifiers. This dataset is associated with the publication “Substrate addition alters carbon dioxide and methane exchanges in incubation experiments of Canadian peatland soils” (Davies et al., 2026; doi: 10.1029/2025GB008896) and supports research on peatland carbon cycling, greenhouse gas emissions, priming mechanisms, and the biogeochemical consequences of infrastructure development and organic matter additions in boreal and subarctic ecosystems.
DOI: 10.15156/bio/sh1407011.10fu
title: SH1407011.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407013.10fu
title: SH1407013.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407015.10fu
title: SH1407015.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407018.10fu
title: SH1407018.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407019.10fu
title: SH1407019.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407020.10fu
title: SH1407020.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407021.10fu
title: SH1407021.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1407022.10fu
title: SH1407022.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/zhbfshtfw8
title: Microchannel_electronic component cooling

description: Entropy generation and thermo-hydraulic characteristics of various double-layered microchannel configurations for thermal management of electronic components
DOI: 10.17632/zhbfshtfw8.1
title: Microchannel_electronic component cooling

description: Entropy generation and thermo-hydraulic characteristics of various double-layered microchannel configurations for thermal management of electronic components
DOI: 10.17632/49w9c494wc.2
title: LINF_180008500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pj3824wfpr.2
title: Experimental Dataset on Ghost Hammering Phenomena in Nonlinear Shell Structures under Stochastic Excitation

description: This dataset supports the experimental investigation presented in the paper "Ghost Hammering in Randomly Excited Nonlinear Dynamical Systems" by Prof. Francesco Pellicano and Prof. Antonio Zippo. The research focuses on the emergence of complex vibrational phenomena in nonlinear shell structures subjected to stochastic excitation. Notably, the dataset captures high-amplitude, irregular spikes—termed Ghost Hammering—that mimic impact-like responses in the absence of any actual external impulses.

These ghost spike events exhibit strong analogies with Extreme Events, Stochastic Resonance, and Spiking Oscillations, as studied in Neuroscience and Physics. The dataset includes time series measurements of structural response variables, such as velocity and acceleration, recorded under well-defined experimental conditions. A detailed description of the experimental setup—including structural configuration, excitation characteristics, sensor placement, and material properties—is provided in the associated paper.

The study demonstrates that traditional linear modeling approaches fail to represent such nonlinear phenomena, whereas nonlinear dynamical models like the van der Pol and FitzHugh–Nagumo oscillators offer more accurate and insightful representations of the system's behavior. This dataset underscores the potential of applying cross-disciplinary stochastic nonlinear models to challenges in Structural Mechanics.
DOI: 10.1285/i15900932v33n1p121
title: Automorphisms of Group Extensions

description: After a brief survey of the theory of group extensions and, in particular, of automorphisms of group extensions, we describe some recent reduction theorems for the inducibility problem for pairs of automorphisms.