cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17670126
title: Taste of things to come: Craving responses to ingestion and mouth rinse of sugary drink in connection with food cues and associations with continuous interstitial glucose measurement in a healthy population

description: Background/objectives: Food craving is frequent with high palatable foods containing high levels of sugars and/or fat. Food cues can strongly induce food craving, and heightened food cue reactivity is associated with eating disorders and obesity. Sweet taste signalling is suggested to be an important regulator for appetite and food intake, with sensory-metabolic mismatch potentially relevant for food craving experience. This study investigated the interaction between taste and food cues on food craving in healthy people with and without ingestion of a sugary drink. Methods: Randomised crossover design with 47 healthy individuals performed two experimental trials. Fasted individuals were exposed to food cues with measurement of food craving pre- and post- exposure via a newly validated method using handgrip force as a response modality. This was followed either by ingestion (ingestion trial) or mouth rinse (mouth rinse trial) of a sugary drink and reassessment of food cue craving responses. Continuous interstitial glucose monitoring was performed using a glucose sensor inserted into the upper arm and a blood sample for leptin levels was taken. Results: Strong food craving response to food cues was bound to the fasted state, while ingestion of sugary drink blunted food cue reactivity and reduced craving levels. Mouth rinse induced a stable increase in food craving which showed maximum after food cues. Interstitial glucose levels over the after-trial periods (area under curve, AUC) were significantly higher for the rinse trial day than for the ingestion trial day suggesting higher carbohydrate/sugar intake after the rinse trial, while craving levels were associated with AUC in the rinse trial. 

Conclusions: Outcomes indicate that taste/flavour in connection with food cues may generate an error signal experienced as food cravings, whereas receipt of sugars, with concomitant physiological responses, reduce the signal and diminish food craving. Results highlight the importance of sensory-metabolic mismatch for food craving experience. 

Files contain raw data and parameter information files.
DOI: 10.5281/zenodo.17670127
title: Taste of things to come: Craving responses to ingestion and mouth rinse of sugary drink in connection with food cues and associations with continuous interstitial glucose measurement in a healthy population

description: Background/objectives: Food craving is frequent with high palatable foods containing high levels of sugars and/or fat. Food cues can strongly induce food craving, and heightened food cue reactivity is associated with eating disorders and obesity. Sweet taste signalling is suggested to be an important regulator for appetite and food intake, with sensory-metabolic mismatch potentially relevant for food craving experience. This study investigated the interaction between taste and food cues on food craving in healthy people with and without ingestion of a sugary drink. Methods: Randomised crossover design with 47 healthy individuals performed two experimental trials. Fasted individuals were exposed to food cues with measurement of food craving pre- and post- exposure via a newly validated method using handgrip force as a response modality. This was followed either by ingestion (ingestion trial) or mouth rinse (mouth rinse trial) of a sugary drink and reassessment of food cue craving responses. Continuous interstitial glucose monitoring was performed using a glucose sensor inserted into the upper arm and a blood sample for leptin levels was taken. Results: Strong food craving response to food cues was bound to the fasted state, while ingestion of sugary drink blunted food cue reactivity and reduced craving levels. Mouth rinse induced a stable increase in food craving which showed maximum after food cues. Interstitial glucose levels over the after-trial periods (area under curve, AUC) were significantly higher for the rinse trial day than for the ingestion trial day suggesting higher carbohydrate/sugar intake after the rinse trial, while craving levels were associated with AUC in the rinse trial. 

Conclusions: Outcomes indicate that taste/flavour in connection with food cues may generate an error signal experienced as food cravings, whereas receipt of sugars, with concomitant physiological responses, reduce the signal and diminish food craving. Results highlight the importance of sensory-metabolic mismatch for food craving experience. 

Files contain raw data and parameter information files.
DOI: 10.57756/k3f658
title: 3D model of a Steller’s Sea Cow (NHMW-ZOO-MAMM-614)

description: <p>3D scan of one of the 27 existing skeletons of the extinct Steller’s sea cow (<em>Hydrodamalis gigas</em>) worldwide. Steller’s sea cow was up to 8 meters long, weighted about 4 tons and lived in the Northern Pacific. They were very social, gregarious animals who came to the aid of injured members of their species, which – combined with their site fidelity and their slow rate of reproduction – was a significant factor of their rapid elimination just 27 years after their discovery in 1741. This almost complete specimen at the NHMW is the only one with preserved pelvic bones. In all the preserved skeletons the bones of the hand (manus) are 
missing. Closely related species have reduced finger bones (phalanges) 
so it is possible that the Steller’s sea cow did not have a manus at 
all.</p>
DOI: 10.15468/dl.up5puq
title: Occurrence Download

description: A dataset containing 121632 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias syriaca"
 ]
}

 The dataset includes 121632 records from 500 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001988-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jzbjbhyzdh
title: Data

description: Ucrit measurement data
DOI: 10.17632/jzbjbhyzdh.1
title: Data

description: Ucrit measurement data
DOI: 10.17632/h548r45kgp
title: NOV 20 2025 - Data and codes for the manuscript "Does National Geopolitical Risk Shape Corporate Dividend Policy? Empirical Insights from Emerging Economies"

description: This package provides all raw publicly available data, detailed data sources, and coding for merging, appending, and creating new variables. Our research dataset can be easily created from the synthetic raw data that has all the variables used in the baseline analysis and the same number of observations. Synthetic data variable names, symbols, and mean, SD, min, and max values are the same as the research data reported and can conveniently regress the primary results of the above-mentioned research paper. The package is designed to facilitate transparency and enable verification of all statistical findings reported in this study.
DOI: 10.17632/h548r45kgp.1
title: NOV 20 2025 - Data and codes for the manuscript "Does National Geopolitical Risk Shape Corporate Dividend Policy? Empirical Insights from Emerging Economies"

description: This package provides all raw publicly available data, detailed data sources, and coding for merging, appending, and creating new variables. Our research dataset can be easily created from the synthetic raw data that has all the variables used in the baseline analysis and the same number of observations. Synthetic data variable names, symbols, and mean, SD, min, and max values are the same as the research data reported and can conveniently regress the primary results of the above-mentioned research paper. The package is designed to facilitate transparency and enable verification of all statistical findings reported in this study.
DOI: 10.17632/gtyyjpty84
title: Multispecies Visioning

description: Data repository for the supplementary material of corresponding paper. "Anthropocentric bias in visioning and the multispecies alternative". 

Abstract. Visioning, alongside other techniques for producing futural knowledge, is recognised as being central to establishing an alternative trajectory away from extreme systemic risk and towards a more sustainable, nature positive future. However, despite the abundance of visions shaping global policy responses to the polycrisis, the onto-epistemological foundations of these visions, and their theoretical and methodological underpinnings, haven’t been critically assessed in line with posthumanist thought. Working with van der Helm’s (2009) theorisation of visions within futures studies, we show that the current vision corpus exhibits a strong anthropocentrism, further compounding species inequalities, structural violence, and systemic risk to nonhumans. In an attempt to counter this single (human) species bias, we conducted a multispecies visioning exercise to imagine a world of reduced systemic risk from a nonhuman perspective. Our results further expose the shortfalls of current visions whilst demonstrating the viability of methods that de-centre humans. We highlight the urgent need to desist from anthropocentric visioning and advance non-speciesist approaches to achieve deep system transformation. 


References as listed in the paper (Supplementary Material):

Video 1 Tovey, PM. (2025) ‘Nature&Nukes’ Videoleap, stock footage, iphone 15 pro max 
Video 2 Tovey, PM (2025) ‘Multispecies Visioning Montage’, Videoleap, stock footage, iphone 15 pro max 
MP3 Tovey, PM. and Oliver, T. (2025) ‘Multispecies Visions for Systemic Risk Reduction’. RunwayAI text-voice generation. 
Imagine 1 Tovey, PM. (2025) Shamanic drum, adorned with buzzard feathers of Lydeard Wood, near Back Stream, Somerset, England, on stand with skim-netting, used in the animal invocation at Les Fontainies, France, with Roe Buck antler, found Bossington Hill, Exmoor, 2024
DOI: 10.17632/gtyyjpty84.1
title: Multispecies Visioning

description: Data repository for the supplementary material of corresponding paper. "Anthropocentric bias in visioning and the multispecies alternative". 

Abstract. Visioning, alongside other techniques for producing futural knowledge, is recognised as being central to establishing an alternative trajectory away from extreme systemic risk and towards a more sustainable, nature positive future. However, despite the abundance of visions shaping global policy responses to the polycrisis, the onto-epistemological foundations of these visions, and their theoretical and methodological underpinnings, haven’t been critically assessed in line with posthumanist thought. Working with van der Helm’s (2009) theorisation of visions within futures studies, we show that the current vision corpus exhibits a strong anthropocentrism, further compounding species inequalities, structural violence, and systemic risk to nonhumans. In an attempt to counter this single (human) species bias, we conducted a multispecies visioning exercise to imagine a world of reduced systemic risk from a nonhuman perspective. Our results further expose the shortfalls of current visions whilst demonstrating the viability of methods that de-centre humans. We highlight the urgent need to desist from anthropocentric visioning and advance non-speciesist approaches to achieve deep system transformation. 


References as listed in the paper (Supplementary Material):

Video 1 Tovey, PM. (2025) ‘Nature&Nukes’ Videoleap, stock footage, iphone 15 pro max 
Video 2 Tovey, PM (2025) ‘Multispecies Visioning Montage’, Videoleap, stock footage, iphone 15 pro max 
MP3 Tovey, PM. and Oliver, T. (2025) ‘Multispecies Visions for Systemic Risk Reduction’. RunwayAI text-voice generation. 
Imagine 1 Tovey, PM. (2025) Shamanic drum, adorned with buzzard feathers of Lydeard Wood, near Back Stream, Somerset, England, on stand with skim-netting, used in the animal invocation at Les Fontainies, France, with Roe Buck antler, found Bossington Hill, Exmoor, 2024
DOI: 10.15468/dl.3cm8r5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Andorra",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Blepharostoma trichophyllum, Lepidozia reptans)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002034-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hnvhkbgvy2
title: A Supervised Machine Learning Approach to Understanding Migration Decisions and Psychological Stress Among Youth.

description: This dataset provides empirical insights into the migration decisions and associated psychological stress among Bangladeshi youth. It comprises survey responses from 2,614 individuals (aged 18–35), collected between January and April 2025 through a stratified convenience sampling method using Google Forms and face-to-face interviews.

The dataset is critical for understanding the intersection of socio-economic aspirations and mental health in the context of youth migration. It captures diverse responses regarding migration interest, stress levels, coping mechanisms, and future plans from participants across various ages, occupations, and socio-cultural backgrounds in Bangladesh.

Key Features & Variables:

Demographics: Age group, Gender, Occupation.

Migration Decisions: Decision status to migrate, intended duration, awareness of migration programs/scholarships.

Influencing Factors: Role of social media, family pressure, peer influence, and mentors.

Psychological Stress Indicators: Type and intensity of stress (e.g., visa anxiety, fear of rejection, family separation, emotional challenges).

Coping Strategies: Methods used to manage stress (e.g., hobbies, physical activity, social support, online forums).

Barriers to Migration: Financial constraints, lack of experience/qualifications, cultural resistance.

Return Plans & Impact: Intention to return, perceived impact on family/community, trust in government support.

Recommendation Likelihood: Willingness to recommend migration to peers (Scale 1–5).

Files Included in this Repository:

Cleaned_Youth_Migration_Data.csv: The primary dataset with standardized variable names (N=2,614).

Data_Dictionary.csv: A codebook explaining each variable name and the corresponding original survey question.

Survey_Questionnaire.pdf: The original blank questionnaire used for data collection.

Readme.txt: Overview and usage instructions for the dataset.

Potential Usage: This dataset is valuable for researchers, data scientists, policymakers, and mental health professionals. It supports:

Machine Learning Models: Migration intent prediction (Logistic Regression, Random Forest), Stress level classification (SVM, Decision Tree), and Cluster analysis of motivations.

Policy & Health: Designing support strategies for at-risk youth and understanding the psychological cost of migration.
DOI: 10.17632/hnvhkbgvy2.4
title: A Supervised Machine Learning Approach to Understanding Migration Decisions and Psychological Stress Among Youth.

description: This dataset provides empirical insights into the migration decisions and associated psychological stress among Bangladeshi youth. It comprises survey responses from 2,614 individuals (aged 18–35), collected between January and April 2025 through a stratified convenience sampling method using Google Forms and face-to-face interviews.

The dataset is critical for understanding the intersection of socio-economic aspirations and mental health in the context of youth migration. It captures diverse responses regarding migration interest, stress levels, coping mechanisms, and future plans from participants across various ages, occupations, and socio-cultural backgrounds in Bangladesh.

Key Features & Variables:

Demographics: Age group, Gender, Occupation.

Migration Decisions: Decision status to migrate, intended duration, awareness of migration programs/scholarships.

Influencing Factors: Role of social media, family pressure, peer influence, and mentors.

Psychological Stress Indicators: Type and intensity of stress (e.g., visa anxiety, fear of rejection, family separation, emotional challenges).

Coping Strategies: Methods used to manage stress (e.g., hobbies, physical activity, social support, online forums).

Barriers to Migration: Financial constraints, lack of experience/qualifications, cultural resistance.

Return Plans & Impact: Intention to return, perceived impact on family/community, trust in government support.

Recommendation Likelihood: Willingness to recommend migration to peers (Scale 1–5).

Files Included in this Repository:

Cleaned_Youth_Migration_Data.csv: The primary dataset with standardized variable names (N=2,614).

Data_Dictionary.csv: A codebook explaining each variable name and the corresponding original survey question.

Survey_Questionnaire.pdf: The original blank questionnaire used for data collection.

Readme.txt: Overview and usage instructions for the dataset.

Potential Usage: This dataset is valuable for researchers, data scientists, policymakers, and mental health professionals. It supports:

Machine Learning Models: Migration intent prediction (Logistic Regression, Random Forest), Stress level classification (SVM, Decision Tree), and Cluster analysis of motivations.

Policy & Health: Designing support strategies for at-risk youth and understanding the psychological cost of migration.
DOI: 10.17632/4cz6f7wfnp.1
title: Rubidium isotope fractionation during extreme weathering of basaltic rocks: Implication for tracing weathering intensity

description: Rubidium isotope system has been advocated as an emerging proxy for silicate weathering intensity, primarily based on systematical isotope fractionations during moderate granite weathering through adsorption-desorption processes by secondary clay minerals. However, the magnitude and mechanism of Rb isotope fractionation during chemical weathering of basaltic rocks (an alternatively important silicate rock in the Earth’s crust), especially under intense weathering conditions, are still lacking. In this study, we present Rb isotope compositions (δ87Rb) from a gabbro weathering profile at Leizhou Peninsula, which forms under tropical humid monsoon climate. The upper saprolites are characterized by a positive linear correlation between the Th (a least-mobile element that can indicate aeolian accretion) and Rb contents, and the consistency of the δ87Rb values (–0.15 ± 0.09‰; 2SD, n = 30) with the Chinese loess (–0.11 ± 0.04‰) and the lower fresh gabbros (–0.11 ± 0.08‰; 2SD, n = 2), suggesting that the Rb is dominantly hosted in extraneous aeolian dusts while the geologic Rb derived from parent rocks has been completely removed during intense chemical weathering. The δ87Rb values of the middle semi-weathered gabbros (from –0.07‰ to 0.83‰) are positively fractionated relative to the fresh gabbros, and show a decreasing trend with increasing weathering intensity, which are mainly caused by progressive desorption of previously adsorbed isotopically heavy Rb from secondary clay minerals. On this basis, we suggest to use detrital δ87Rb records or seawater δ87Rb records reconstructed from reliable marine archives to trace continental silicate weathering intensity on a regional or global scale, respectively.
DOI: 10.17632/8khf95n878
title: Extraversion and Marital Adjustment: The Mediating Role of Healing Patterns in Pakistani Couples

description: This study utilized a cross-sectional design to explore the mediating role of healing ‎interpersonal patterns (HIPs) in the relationship between extraversion and marital ‎adjustment among married couples in Pakistan. A quantitative approach was ‎employed, using self-report questionnaires to assess personality traits, interpersonal patterns, ‎and marital adjustment. The objectives were to: (1) examine the direct link between ‎extraversion and marital adjustment; (2) assess associations with HIPs; (3) evaluate HIPs’ ‎impact on adjustment; and (4) test HIPs as a mediator.
The sample consisted of 902 participants, comprising 451 married couples (451 ‎husbands and 451 wives), recruited from Pakistan. The mean age of participants was 28.21 years (SD = 3.90), with ages ‎ranging from 25 to 45 years.
The sample size was determined using power analysis via G*Power software, aiming ‎for a power of 0.80, alpha of 0.05, and a medium effect size (f² = 0.15) for multiple ‎regression and mediation models. A minimum of 800 participants was recommended, and ‎the final N = 902 provided adequate power (0.95) to detect small-to-medium effects, ‎accounting for potential attrition or incomplete responses.‎
Purposive sampling was used, targeting married couples meeting inclusion criteria, suitable for ‎studying established marriages in a culturally sensitive context. Recruitment occurred from ‎January to April 2025 through social media. Of 600 couples contacted, ‎‎451 (75%) participated after eligibility screening via a demographic questionnaire. ‎
Inclusion criteria required participants to be legally married, married for over one ‎year, and aged 25–45 to focus on stable, mid-adulthood relationships. Exclusion criteria ‎eliminated divorced, separated, newly married (&lt;1 year), cohabiting (non-married), or ‎dating individuals, as well as those with physical or mental disabilities, to reduce ‎confounding health-related effects. 
Three validated self-report instruments were used all ‎administered in Urdu to accommodate participants' primary language and enhance response ‎accuracy.‎
1. Big Five Personality Inventory (BFI-10)‎ (Ahmad & Sadiq Hussain, 2022)
2. Interpersonal Pattern Scale (IPS) (Dar & Hasan, 2025)‎
3. Dyadic Adjustment Scale (DAS-14)‎ (Naeem et al., 2023) 
Procedure
Data were collected online through Google Forms. Couples completed questionnaires ‎independently to prevent influence, with order ‎counterbalanced. Response rate ‎was 90%.‎
Data Analysis
SPSS version 27 was used. Descriptive statistics summarized variables. Pearson correlations ‎tested associations. Hierarchical regression predicted marital adjustment: Step 1 (age, ‎education), Step 2 (personality traits), Step 3 (interpersonal patterns). Mediation analysis ‎used PROCESS Model 4 with 5,000 bootstrapped resamples, testing extraversion (X), HIPs ‎‎(M), and marital adjustment (Y), controlling demographics.
DOI: 10.5281/zenodo.17670165
title: Source data for Figures in "Convex Hartree-Fock theory for modeling ground state conical intersections"

description: Source data for Figures in "Convex Hartree-Fock theory for modeling ground state conical intersections".

This work was supported by the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Program (grant agreement No. 101020016).
DOI: 10.5281/zenodo.17670164
title: Source data for Figures in "Convex Hartree-Fock theory for modeling ground state conical intersections"

description: Source data for Figures in "Convex Hartree-Fock theory for modeling ground state conical intersections".

This work was supported by the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Program (grant agreement No. 101020016).