cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.21587607
title: Supporting Dataset for thesis - "New World vs Old World: Refining the screening, diagnosis, and prediction of oral cancer"

description: This data contains supporting resources for the thesis titled "New World vs Old World: Refining the screening, diagnosis, and prediction of oral cancer". The thesis was based on eight studies which were generated from the five datasets included in the files. The first dataset (RRBS Dataset) was generated following reduced representation bisulfite sequencing of salivary DNA samples obtained from patients with oral cancer and oral potentially malignant dataset. The differentially methylated CpG sites (CPG Dataset) and differentially methylated regions (DMR Datasets) are provided in different spreadsheets. The second dataset (Bayesian mapping Dataset) comprises counts of oral cancer incidence and mortality in Hong Kong from January 2013 to December 2019. The count was obtained from the CDARS data ecosystem in Hong Kong. The third dataset (Oral cancer prognosis dataset) was obtained with ethical approval from the Hospital Authority Clinical Management System (HA-CMS). It contains information about oral cavity cancer patients in Hong Kong treated at the Queen Mary Hospital from 2000 to 2019. The fourth dataset (Oral cancer screening dataset) was obtained from a community-based oral cancer screening program in Hong Kong conducted between November 2020 to June 2022. Information about demographics, lifestyle, family history, comorbidity, and expired carbon monoxide was collected at these events and presented in the dataset. The fifth dataset (Oral potentially malignant disorders dataset) was also obtained from the HA-CMS for patients with oral leukoplakia and oral lichenoid mucositis to predict malignant transformation. For all datasets, further information explaining individual variables are within the spreadsheets.
DOI: 10.25442/hku.21587607.v1
title: Supporting Dataset for thesis - "New World vs Old World: Refining the screening, diagnosis, and prediction of oral cancer"

description: This data contains supporting resources for the thesis titled "New World vs Old World: Refining the screening, diagnosis, and prediction of oral cancer". The thesis was based on eight studies which were generated from the five datasets included in the files. The first dataset (RRBS Dataset) was generated following reduced representation bisulfite sequencing of salivary DNA samples obtained from patients with oral cancer and oral potentially malignant dataset. The differentially methylated CpG sites (CPG Dataset) and differentially methylated regions (DMR Datasets) are provided in different spreadsheets. The second dataset (Bayesian mapping Dataset) comprises counts of oral cancer incidence and mortality in Hong Kong from January 2013 to December 2019. The count was obtained from the CDARS data ecosystem in Hong Kong. The third dataset (Oral cancer prognosis dataset) was obtained with ethical approval from the Hospital Authority Clinical Management System (HA-CMS). It contains information about oral cavity cancer patients in Hong Kong treated at the Queen Mary Hospital from 2000 to 2019. The fourth dataset (Oral cancer screening dataset) was obtained from a community-based oral cancer screening program in Hong Kong conducted between November 2020 to June 2022. Information about demographics, lifestyle, family history, comorbidity, and expired carbon monoxide was collected at these events and presented in the dataset. The fifth dataset (Oral potentially malignant disorders dataset) was also obtained from the HA-CMS for patients with oral leukoplakia and oral lichenoid mucositis to predict malignant transformation. For all datasets, further information explaining individual variables are within the spreadsheets.
DOI: 10.6084/m9.figshare.21716639
title: Atmospheric river data

description: Data used to generate atmospheric river plot
DOI: 10.6084/m9.figshare.21716639.v1
title: Atmospheric river data

description: Data used to generate atmospheric river plot
DOI: 10.18742/21215801.v1
title: Research data supporting "Modelling and mitigating flux jumps in bulk high-temperature superconductors during quasi-static, high-field magnetisation"

description: Research data supporting "Modelling and mitigating flux jumps in bulk high-temperature superconductors during quasi-static, high-field magnetisation." The dataset related to this publication ("Modelling Mitigating Flux Jumps Dataset 27-9-22.xlsx") can be opened in Microsoft Excel. <br> Sheet 1: FCM 77K - Fig 3 Data from figure 3 of the manuscript, showing the trapped magnetic flux density (numerical and experimental), with radius of the bulk, measured from the top surface of the top-bulk. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 2: FCM 23K to 40K - Fig 4 Data from figure 4 of the manuscript, describing the numerical and experimental FCM data (i.e. trapped magnetic flux density, and temperature) with time, for the series of magnetisations between 23 K and 40 K with (peak) applied fields of 15 T to 18 T. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 3: Flux Jump from ‘22T-23K’ model data Data from figure 5, describing the FC magnetisation of the bulk-pair, during which the flux jump occurs (and was successfully and accurately modelled). The magnetic flux density and temperature (calculated at H.P. 1/2 and T.P. 1/2) are shown, compared to the experimentally obtained data. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 4: Extension Study: Ac Data from figures 10, 11 and 12 is given here, describing the numerical data generated from the extension study investigating the effect of varying the factor of Ac (which is loosely the cooling power of the bulk-pair, see main manuscript, section 5.1, for more information). The time dependence of the flux jump, and resulting trapped magnetic flux density on the value of Ac is given. Numerical data generated by COMSOL Multiphyics - see main manuscript. <br> Sheet 5: Extension Study: L Data from figure 14 is given here, describing the numerical data generated from the extension study investigating a proposed composite bulk-pair consisting of a stack of (Y)-BaCuO bulks interspaced by thin copper layers (see main manuscript, section 5.2, for more information). The time dependence of the flux jump, and resulting trapped magnetic flux density on the value of layer number (L) is given. Numerical data generated by COMSOL Multiphyics - see main manuscript.
DOI: 10.18742/21215801
title: Research data supporting "Modelling and mitigating flux jumps in bulk high-temperature superconductors during quasi-static, high-field magnetisation"

description: Research data supporting "Modelling and mitigating flux jumps in bulk high-temperature superconductors during quasi-static, high-field magnetisation." The dataset related to this publication ("Modelling Mitigating Flux Jumps Dataset 27-9-22.xlsx") can be opened in Microsoft Excel. <br> Sheet 1: FCM 77K - Fig 3 Data from figure 3 of the manuscript, showing the trapped magnetic flux density (numerical and experimental), with radius of the bulk, measured from the top surface of the top-bulk. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 2: FCM 23K to 40K - Fig 4 Data from figure 4 of the manuscript, describing the numerical and experimental FCM data (i.e. trapped magnetic flux density, and temperature) with time, for the series of magnetisations between 23 K and 40 K with (peak) applied fields of 15 T to 18 T. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 3: Flux Jump from ‘22T-23K’ model data Data from figure 5, describing the FC magnetisation of the bulk-pair, during which the flux jump occurs (and was successfully and accurately modelled). The magnetic flux density and temperature (calculated at H.P. 1/2 and T.P. 1/2) are shown, compared to the experimentally obtained data. Numerical data generated by COMSOL Multiphyics; experimental data from reference [21] - see main manuscript. <br> Sheet 4: Extension Study: Ac Data from figures 10, 11 and 12 is given here, describing the numerical data generated from the extension study investigating the effect of varying the factor of Ac (which is loosely the cooling power of the bulk-pair, see main manuscript, section 5.1, for more information). The time dependence of the flux jump, and resulting trapped magnetic flux density on the value of Ac is given. Numerical data generated by COMSOL Multiphyics - see main manuscript. <br> Sheet 5: Extension Study: L Data from figure 14 is given here, describing the numerical data generated from the extension study investigating a proposed composite bulk-pair consisting of a stack of (Y)-BaCuO bulks interspaced by thin copper layers (see main manuscript, section 5.2, for more information). The time dependence of the flux jump, and resulting trapped magnetic flux density on the value of layer number (L) is given. Numerical data generated by COMSOL Multiphyics - see main manuscript.
DOI: 10.57745/mckq7g
title: Diatoms_continent_island_20220906.tab

description: :unav
DOI: 10.6084/m9.figshare.21716651
title: dummy.xlsx

description: test
DOI: 10.6084/m9.figshare.21716651.v1
title: dummy.xlsx

description: test
DOI: 10.6084/m9.figshare.13559836
title: Inulin as a Clinical Therapeutic Intervention in Metabolic Associated Fatty Liver Disease

description: Inulin is a prebiotic which is selectively fermented by specific gut microbiota and its chemical structure seems to condition its effect on the host. Interestingly, inulin presents a lipid-lowering potential and a capacity of being a glucose-metabolism regulator, thus it could have a therapeutic role in diseases associated to metabolic syndrome such as metabolic associated fatty liver disease (MAFLD). Evidence indicates that inulin has several beneficial effects such as improvement of dysbiosis, hepatic lipogenesis and inflammation. Dose and intervention, dietary consumption, and microbiota are parameters that support the evaluation of inulin as a modulator of lipid metabolism. More studies will be required to improve the evidence of inulin as a therapeutic option in MAFLD treatment strategies.
DOI: 10.6084/m9.figshare.13559836.v1
title: Inulin as a Clinical Therapeutic Intervention in Metabolic Associated Fatty Liver Disease

description: Inulin is a prebiotic which is selectively fermented by specific gut microbiota and its chemical structure seems to condition its effect on the host. Interestingly, inulin presents a lipid-lowering potential and a capacity of being a glucose-metabolism regulator, thus it could have a therapeutic role in diseases associated to metabolic syndrome such as metabolic associated fatty liver disease (MAFLD). Evidence indicates that inulin has several beneficial effects such as improvement of dysbiosis, hepatic lipogenesis and inflammation. Dose and intervention, dietary consumption, and microbiota are parameters that support the evaluation of inulin as a modulator of lipid metabolism. More studies will be required to improve the evidence of inulin as a therapeutic option in MAFLD treatment strategies.
DOI: 10.6084/m9.figshare.21716579.v1
title: Supplementary Material for: The Effectiveness of Metacognitive Therapy Compared to Behavioral Activation for Severely Depressed Outpatients: A Single-Center Randomized Trial

description: <b><i>Introduction:</i></b> Major depressive disorder (MDD) is a highly prevalent and disabling disorder. This study examines two psychotherapy methods for MDD, behavioral activation (BA), and metacognitive therapy (MCT), when applied as outpatient treatments to severely affected patients. <b><i>Methods:</i></b> The study was conducted in a tertiary outpatient treatment center. Patients with a primary diagnosis of MDD (<i>N</i> = 122) were included in the intention-to-treat sample (55.7% female, mean age 41.9 years). Participants received one individual and one group session weekly for 6 months (M). Assessments took place at baseline, pretreatment, mid-treatment (3 M), post-treatment (6 M), and follow-up (12 M). The primary outcome was depressive symptomatology assessed by the Hamilton Rating Scale for Depression at 12 M follow-up. Secondary outcomes included general symptom severity, psychosocial functioning, and quality of life. <b><i>Results:</i></b> Linear mixed models indicated a change in depressive symptoms (<i>F</i>(2, 83.495) = 12.253, <i>p</i> &lt; 0.001) but no between-group effect (<i>F</i>(1, 97.352) = 0.183, <i>p</i> = 0.670). Within-group effect sizes were medium for MCT (post-treatment: <i>d</i> = 0.610; follow-up: <i>d</i> = 0.692) and small to medium for BA (post-treatment: <i>d</i> = 0.636, follow-up: <i>d</i> = 0.326). In secondary outcomes, there were improvements (<i>p</i> ≤ 0.040) with medium to large within-group effect sizes (<i>d</i> ≥ 0.501) but no between-group effects (<i>p</i> ≥ 0.304). Response and remission rates did not differ between conditions at follow-up (response MCT: 12.9%, BA: 13.3%, remission MCT: 9.7%, BA: 10.0%). The deterioration rate was lower in MCT than in BA (χ<sup>2</sup><sub>1</sub> = 5.466, <i>p</i> = 0.019, NTT = 7.4). <b><i>Discussion:</i></b> Both MCT and BA showed symptom reductions. Remission and response rates were lower than in previous studies, highlighting the need for further improvements in adapting/implementing treatments for severely affected patients with MDD.
DOI: 10.18728/igb-fred-805.0
title: Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility

description: Accessory data to the manuscript "Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility" by Laura Jentzsch, Hans-Peter Grossart, Sascha Plewe, Dirk Schulze-Makuch, Tobias Goldhammer
DOI: 10.5281/zenodo.4616274
title: ZoeGold/GHC_initiation: Data and Code GHC Initiation

description: Data and code necessary to replicate analyses for Goldsborough et al. "Chimpanzees communicate to coordinate a cultural practice"
DOI: 10.34740/kaggle/dsv/4716639
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21716684
title: Pollfish_Survey_XAI_Thought_Experiments_321556249.csv

description: Questionaire about XAI.
DOI: 10.6084/m9.figshare.21716684.v1
title: Pollfish_Survey_XAI_Thought_Experiments_321556249.csv

description: Questionaire about XAI.
DOI: 10.21227/ybkt-s993
title: TCGA-Brain glioma

description: This is just a preliminary collation of the relevant TCGA datasets collated and used in our methodology. We will continue to upload the full dataset later for your reference and use. We hope to make a small contribution to the study of automatic 3D MRI classification of gliomas and the problem of domain adaptation on medical images.
DOI: 10.6084/m9.figshare.21716681
title: UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2022-12-13.
DOI: 10.6084/m9.figshare.21716681.v1
title: UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2022-12-13.
DOI: 10.5281/zenodo.7389587
title: Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Croatia

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.7389586
title: Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Croatia

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.6084/m9.figshare.17068188
title: Pre-pandemic electrodermal activity predicts current COVID-related fears: household size during lockdown as a moderating factor

description: <b>Background:</b> Despite the immense impact of COVID-19 on mental health, there is a lack of prospective studies examining physiological predictors of current risk factors. Moreover, although physiological processes evidently interact with socio-demographic factors to modulate individuals’ response to a crisis, it remains largely unknown how these complex interactions shape people’s mental responses to COVID-19. To fill these gaps of knowledge, we chose a potent physiological marker of distress – heightened baseline electrodermal activity (EDA) measured before the pandemic began - and hypothesized it would be related to greater COVID-related fears and worries as a function of individuals’ household size. <b>Method:</b> 185 individuals (71% women), who had participated in our lab studies 2-3 years ago, in which we assessed their baseline EDA, completed several questionnaires online, including assessments of their current fears regarding COVID. Participants also reported the number of people in their household, with whom they had been together during a lockdown which was taking place at the time. We used pre-pandemic EDA measures in combination with their household size to predict participants’ current fears. <b>Results:</b> Pre-pandemic EDA measures predicted current COVID-related fears and worries. Specifically for the EDA measure “number of skin conductance responses”, we further found that the number of people in the household during the lockdown, moderated the abovementioned relationship, such that it occurred in individuals with average and larger households and not in those with small households. <b>Conclusions:</b> We provide a highly relevant and unique combination of physiological, socio-demographic, and psychological measures, which augments the potential to optimally target populations vulnerable to COVID-related distress, and subsequently offer them early mental health interventions.
DOI: 10.6084/m9.figshare.17068188.v1
title: Pre-pandemic electrodermal activity predicts current COVID-related fears: household size during lockdown as a moderating factor

description: <b>Background:</b> Despite the immense impact of COVID-19 on mental health, there is a lack of prospective studies examining physiological predictors of current risk factors. Moreover, although physiological processes evidently interact with socio-demographic factors to modulate individuals’ response to a crisis, it remains largely unknown how these complex interactions shape people’s mental responses to COVID-19. To fill these gaps of knowledge, we chose a potent physiological marker of distress – heightened baseline electrodermal activity (EDA) measured before the pandemic began - and hypothesized it would be related to greater COVID-related fears and worries as a function of individuals’ household size. <b>Method:</b> 185 individuals (71% women), who had participated in our lab studies 2-3 years ago, in which we assessed their baseline EDA, completed several questionnaires online, including assessments of their current fears regarding COVID. Participants also reported the number of people in their household, with whom they had been together during a lockdown which was taking place at the time. We used pre-pandemic EDA measures in combination with their household size to predict participants’ current fears. <b>Results:</b> Pre-pandemic EDA measures predicted current COVID-related fears and worries. Specifically for the EDA measure “number of skin conductance responses”, we further found that the number of people in the household during the lockdown, moderated the abovementioned relationship, such that it occurred in individuals with average and larger households and not in those with small households. <b>Conclusions:</b> We provide a highly relevant and unique combination of physiological, socio-demographic, and psychological measures, which augments the potential to optimally target populations vulnerable to COVID-related distress, and subsequently offer them early mental health interventions.
DOI: 10.6084/m9.figshare.19354993
title: Applied relaxation and cortisol secretion: findings from a randomized controlled indicated prevention trial in adults with stress, anxiety, or depressive symptoms

description: Previous research has shown that relaxation interventions can reduce distress, anxiety, and depression. The exact mechanisms that underlie the efficacy of relaxation interventions remain unresolved. This study aimed to investigate whether applied relaxation (AR) leads to changes in cortisol secretion and whether these effects mediate fewer symptoms due to AR. Data come from a randomized controlled preventive interventional trial (<i>N</i> = 277) with elevated tension/distress, anxiety, or depressive symptomatology. Participants were randomized to an intervention group (IG; <i>n</i> = 139, received AR training), or a non-interventional control group (CG, <i>n</i> = 138). Psychopathological symptoms were assessed with DASS-21 and diagnoses of mental disorders <i>via</i> DIA-X-5. Cortisol was measured as short-term index in saliva (six times/d for 2 d at pre-, post-, and follow-up [FU] assessment) and long-term index in hair samples (once at pre-assessment and FU, respectively). Data were analyzed as pre-specified secondary analyses of the randomized controlled trial (RCT) on completer basis (<i>n</i> = 134 CG, <i>n</i> = 102 IG), using multivariable-adjusted linear regression models and mediation analyses (the DASS-21 change in the IG <i>vs.</i> CG with cortisol (area under the curve [AUC]) as mediator). From pre- to post-assessment, total daily salivary cortisol (AUC) decreased more strongly in the IG <i>vs</i>. CG (<i>β</i>-coefficient: −13.83, 95% confidence interval [CI]: −26.85 to −0.81), but was rendered non-significant when adjusting for pre-assessment AUC. This effect was not found for the cortisol awakening response (CAR) or hair cortisol. There was no evidence for a mediation of cortisol (AUC). These findings provide little support for the idea that cortisol reductions explain the beneficial effects of AR on mental health.