cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25375/uct.13574228
title: Multigenerational pedigree analysis of wild individually marked black sparrowhawks suggests that dark plumage coloration is a dominant autosomal trait: Data

description: The corresponding paper to this dataset is:Nebel C, Sumasgutner P, Rodseth E, Ingle RA, Childs DZ, Curtis-Scott O, Amar A. Multigenerational pedigree analysis of wild individually marked black sparrowhawks suggests that dark plumage coloration is a dominant autosomal trait. Journal of Zoology (in press)<br><br>Abstract:<br>The black sparrowhawk (<i>Accipiter melanoleucus</i>) is a color-polymorphic sub-Saharan raptor, with adults occurring in two discrete color morphs: dark and light. It has previously been suggested that plumage colouration is determined by a one-locus two-allele system with the light allele being dominant over the dark allele. Here, we revisit the assumption with an extended dataset of 130 individuals and pedigree information from 75 individuals five generations. We test the observed offspring phenotypic ratio against the expected ratio under Hardy-Weinberg equilibrium and find significant deviations from the expected values. Contrary to the previous assumption, our data indicate that the dark allele is in fact dominant over the light allele. Similarily, the multigenerational pedigrees obtained are incompatible with a one-locus two-allele system where the light allele is dominant but are consistent with a scenario where the dark allele is dominant instead. However, without knowledge of the underlying molecular basis of plumage polymorphisms, uncertainty remains, and the intra-morph variation observed suggests that modifier genes or environmental factors may also be involved. Our study provides a foundation for future research on the adaptive function of colour polymorphism in the species but also highlights the need for caution when drawing conclusions about the mode of inheritance in wild animal populations in the absence of genetic data, especially when one variant is much rarer than the other.
DOI: 10.25375/uct.13574228.v1
title: Multigenerational pedigree analysis of wild individually marked black sparrowhawks suggests that dark plumage colouration is a dominant autosomal trait: Data

description: The corresponding paper to this dataset is:Nebel C, Sumasgutner P, Rodseth E, Ingle RA, Childs DZ, Curtis-Scott O, Amar A. Multigenerational pedigree analysis of wild individually marked black sparrowhawks suggests that dark plumage coloration is a dominant autosomal trait. Journal of Zoology (in press)<br><br>Abstract:<br>The black sparrowhawk (<i>Accipiter melanoleucus</i>) is a color-polymorphic sub-Saharan raptor, with adults occurring in two discrete color morphs: dark and light. It has previously been suggested that plumage colouration is determined by a one-locus two-allele system with the light allele being dominant over the dark allele. Here, we revisit the assumption with an extended dataset of 130 individuals and pedigree information from 75 individuals five generations. We test the observed offspring phenotypic ratio against the expected ratio under Hardy-Weinberg equilibrium and find significant deviations from the expected values. Contrary to the previous assumption, our data indicate that the dark allele is in fact dominant over the light allele. Similarily, the multigenerational pedigrees obtained are incompatible with a one-locus two-allele system where the light allele is dominant but are consistent with a scenario where the dark allele is dominant instead. However, without knowledge of the underlying molecular basis of plumage polymorphisms, uncertainty remains, and the intra-morph variation observed suggests that modifier genes or environmental factors may also be involved. Our study provides a foundation for future research on the adaptive function of colour polymorphism in the species but also highlights the need for caution when drawing conclusions about the mode of inheritance in wild animal populations in the absence of genetic data, especially when one variant is much rarer than the other.
DOI: 10.5281/zenodo.4772622
title: European Healthcare and Social Cost Database

description: The rationale for developing the EU HCCD for use in Health Technology Assessment (HTA) across countries is to provide a common dataset of international costs, which can feed into health economic evaluations carried out by transferring economic evaluation analysis and models across countries. Defining a core dataset of costs for use in HTA across countries enables analyses that try to understand the variation in costs within and across countries (taking into account the differences between the healthcare systems and other factors). Additionally, it makes it easier to carry out multi-country studies and to adapt economic evaluation studies from country to country by saving human resources time (and consequently costs) in the task of looking for healthcare costs.
description: The database is available at https://www.easp.es/Impact-Hta/.
DOI: 10.5281/zenodo.4772621
title: European Healthcare and Social Cost Database

description: The rationale for developing the EU HCCD for use in Health Technology Assessment (HTA) across countries is to provide a common dataset of international costs, which can feed into health economic evaluations carried out by transferring economic evaluation analysis and models across countries. Defining a core dataset of costs for use in HTA across countries enables analyses that try to understand the variation in costs within and across countries (taking into account the differences between the healthcare systems and other factors). Additionally, it makes it easier to carry out multi-country studies and to adapt economic evaluation studies from country to country by saving human resources time (and consequently costs) in the task of looking for healthcare costs.
description: The database is available at https://www.easp.es/Impact-Hta/.
DOI: 10.6084/m9.figshare.14814990
title: Data sets for experiments 1 and 2 in Khatin-Zadeh et al.'s 'The impact of gestural representation of metaphor schema on metaphor comprehension'

description: Data sets of experiments 1 and 2 reported in the study 'The impact of gestural representation of metaphor schema on metaphor comprehension' by Omid Khatin-Zadeh et al.
DOI: 10.5281/zenodo.4415689
title: Attitudes and Stressors related to the SARS-CoV-2 Pandemic among Emergency Medical Services Workers in Germany: A cross-sectional Study

description: This dataset stems from a cross-sectional study conducted in April and Mai 2020 among n=1537 emergency medical services workers (EMS) from entire Germany during the first peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the German Association of Emergency Medical Service on their social media channels. The collected data provides insights into major stressors among EMS workers at the first peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study. <strong>Research question:</strong> Investigation of pandemic-related attitudes, stressors and work outcomes among emergency medical services workers during the SARS-CoV-2 pandemic <strong>Study population: </strong> Emergency medical services workers in Germany <strong>Study type: </strong> Cross-sectional study (two independent cross-sectional waves) <strong>File type: </strong> SPSS file (.sav) <strong>Study periods: </strong> First wave: April 9th-16th 2020<br> Second wave: Mai 14th-21st 2020 <strong>Number of participants: </strong> 1537 <strong>Missing values: </strong> None (due to online survey) <strong>Original variables: </strong> v_982, v_1, v_2, v_31, v_4, v_5, v_7, dupl1_v_13, dupl1_v-14, v_57, v_13, v_37, v_38, v_39, v_40, v_41, v_42, v_43, v_44, v_45, v_46, v_47, v_48, v_49, v_50, dupl1_v_40, dupl1_v_41, dupl1_v_42, dupl1_v_43, v_55, Beruf_Rettungsdienst, Welle All other variables were calculated from the original variables either by rescaling or dichotomization. Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes" Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good".
DOI: 10.5281/zenodo.4415688
title: Attitudes and Stressors related to the SARS-CoV-2 Pandemic among Emergency Medical Services Workers in Germany: A cross-sectional Study

description: This dataset stems from a cross-sectional study conducted in April and Mai 2020 among n=1537 emergency medical services workers (EMS) from entire Germany during the first peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the German Association of Emergency Medical Service on their social media channels. The collected data provides insights into major stressors among EMS workers at the first peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study. <strong>Research question:</strong> Investigation of pandemic-related attitudes, stressors and work outcomes among emergency medical services workers during the SARS-CoV-2 pandemic <strong>Study population: </strong> Emergency medical services workers in Germany <strong>Study type: </strong> Cross-sectional study (two independent cross-sectional waves) <strong>File type: </strong> SPSS file (.sav) <strong>Study periods: </strong> First wave: April 9th-16th 2020<br> Second wave: Mai 14th-21st 2020 <strong>Number of participants: </strong> 1537 <strong>Missing values: </strong> None (due to online survey) <strong>Original variables: </strong> v_982, v_1, v_2, v_31, v_4, v_5, v_7, dupl1_v_13, dupl1_v-14, v_57, v_13, v_37, v_38, v_39, v_40, v_41, v_42, v_43, v_44, v_45, v_46, v_47, v_48, v_49, v_50, dupl1_v_40, dupl1_v_41, dupl1_v_42, dupl1_v_43, v_55, Beruf_Rettungsdienst, Welle All other variables were calculated from the original variables either by rescaling or dichotomization. Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes" Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good".
DOI: 10.5281/zenodo.5005201
title: Comparing Non-invasive Diabetes Risk Scores for Detecting Patients in Clinical Practice

description: The Cork and Kerry Diabetes and Heart Disease Study (Phase II – Mitchelstown Cohort) was a single centre study conducted between 2010 and 2011. A random sample was recruited from a large primary care centre in Mitchelstown, County Cork, Ireland. The Livinghealth Clinic serves a population of approximately 20,000 Caucasian-European subjects, with a mix of urban and rural residents. Stratified sampling was employed to recruit equal numbers of men and women from all registered attending patients in the 46–73-year age group. In total, 3,807 potential participants were selected from the practice list. Following the exclusion of duplicates, deaths and subjects incapable of consenting or attending appointment, 3,051 were invited to participate in the study and of these, 2,047 (49% male) completed the questionnaire and physical examination components of the baseline assessment (response rate: 67%). Individuals with pre-existing cardiovascular disease or T2DM were not excluded from the cohort.
DOI: 10.5281/zenodo.4927358
title: Comparing Non-invasive Diabetes Risk Scores for Detecting Patients in Clinical Practice

description: The Cork and Kerry Diabetes and Heart Disease Study (Phase II – Mitchelstown Cohort) was a single centre study conducted between 2010 and 2011. A random sample was recruited from a large primary care centre in Mitchelstown, County Cork, Ireland. The Livinghealth Clinic serves a population of approximately 20,000 Caucasian-European subjects, with a mix of urban and rural residents. Stratified sampling was employed to recruit equal numbers of men and women from all registered attending patients in the 46–73-year age group. In total, 3,807 potential participants were selected from the practice list. Following the exclusion of duplicates, deaths and subjects incapable of consenting or attending appointment, 3,051 were invited to participate in the study and of these, 2,047 (49% male) completed the questionnaire and physical examination components of the baseline assessment (response rate: 67%). Individuals with pre-existing cardiovascular disease or T2DM were not excluded from the cohort.
DOI: 10.5281/zenodo.5005239
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.21954/ou.rd.14812575
title: PASHI-framework Usability Evaluation Study Interview Transcripts

description: This study evaluated the usability of adaptive user interfaces when used in mitigating interpersonal privacy violating scenarios. The study used storyboards as a stimulant to elicit user responses where each storyboard demonstrated how different variations of adaptive user interfaces can be used to mitigate different variations of interpersonal privacy violating scenarios. Here interpersonal privacy violations refer to privacy violations that happens between smart home users due to sharing smart home devices among themselves. There are two main variations of interpersonal privacy violations explored in this study: <br>• Interpersonal information privacy: Privacy related to information disclosures caused by shared smart home devices,• Interpersonal physical privacy: Privacy related to disturbances caused by shared smart home devices.<br>The study used two hypothetical scenarios covering the two variations of interpersonal privacy:1. Health information scenario (information privacy): Yasmin (care giver) tries to access the vital information of Sally (care receiver) over a smart speaker. During this, Zack (sally’s son) walks into the room who is not authorised to access Sally’s health information.2. Meditation scenario (physical privacy): Zack (son) tries listen to music over the smart speaker while his Sally (mother) was meditating in a near-by room where his mother doesn’t want to get disturbed while she is meditating.<br>For each scenario, three variations of adaptive user interfaces (AAUI, CAUI, NAUI) were used to resulting in three separate outcomes. All together this created six unique scenarios. Three adaptive user interface variations are explained below.<br><b>AAUI</b> (Automatic Adaptive User Interfaces): AUI variation, which automatically adapts without user feedback.<b>CAUI</b> (Choice-based Adaptive User Interfaces): AUI variation, which provides users with choices to select the adaptation and continues the adaptations based on user feedback.<b>NAUI</b> (Non-Adaptive User Interfaces): Standard smart home user interfaces which are unable to adapt according to the context.<br><b>15</b> participants took part in the study, and they were asked questions based on these storyboards regarding the usability of the adaptive user interfaces. This document includes the transcription of those interviews.<br><br>This study was approved by the Open University’s Human Research Ethics Committee (<b>HREC/3417/Wijesundara</b>).<br>
DOI: 10.21954/ou.rd.14812575.v1
title: PASHI-framework Usability Evaluation Study Interview Transcripts

description: This study evaluated the usability of adaptive user interfaces when used in mitigating interpersonal privacy violating scenarios. The study used storyboards as a stimulant to elicit user responses where each storyboard demonstrated how different variations of adaptive user interfaces can be used to mitigate different variations of interpersonal privacy violating scenarios. Here interpersonal privacy violations refer to privacy violations that happens between smart home users due to sharing smart home devices among themselves. There are two main variations of interpersonal privacy violations explored in this study: <br>• Interpersonal information privacy: Privacy related to information disclosures caused by shared smart home devices,• Interpersonal physical privacy: Privacy related to disturbances caused by shared smart home devices.<br>The study used two hypothetical scenarios covering the two variations of interpersonal privacy:1. Health information scenario (information privacy): Yasmin (care giver) tries to access the vital information of Sally (care receiver) over a smart speaker. During this, Zack (sally’s son) walks into the room who is not authorised to access Sally’s health information.2. Meditation scenario (physical privacy): Zack (son) tries listen to music over the smart speaker while his Sally (mother) was meditating in a near-by room where his mother doesn’t want to get disturbed while she is meditating.<br>For each scenario, three variations of adaptive user interfaces (AAUI, CAUI, NAUI) were used to resulting in three separate outcomes. All together this created six unique scenarios. Three adaptive user interface variations are explained below.<br><b>AAUI</b> (Automatic Adaptive User Interfaces): AUI variation, which automatically adapts without user feedback.<b>CAUI</b> (Choice-based Adaptive User Interfaces): AUI variation, which provides users with choices to select the adaptation and continues the adaptations based on user feedback.<b>NAUI</b> (Non-Adaptive User Interfaces): Standard smart home user interfaces which are unable to adapt according to the context.<br><b>15</b> participants took part in the study, and they were asked questions based on these storyboards regarding the usability of the adaptive user interfaces. This document includes the transcription of those interviews.<br><br>This study was approved by the Open University’s Human Research Ethics Committee (<b>HREC/3417/Wijesundara</b>).<br>
DOI: 10.21954/ou.rd.14812587
title: PASHI-framework User Experience Evaluation Study Interview Transcripts

description: This study evaluated the user experience of adaptive user interfaces when used in mitigating interpersonal privacy violating scenarios. This study used video prototypes as the stimulant to elicit user responses where each video prototype demonstrated how different variations of adaptive user interfaces can be used to mitigate different variations of interpersonal privacy violating scenarios. Here interpersonal privacy violations refer to privacy violations that happens between smart home users due to sharing smart home devices among themselves. There are two main variations of interpersonal privacy violations explored in this study: • Interpersonal information privacy: Privacy related to information disclosures caused by shared smart home devices,• Interpersonal physical privacy: Privacy related to disturbances caused by shared smart home devices.<br><b>9</b> scenarios were developed covering different adaptive user interface variations, interpersonal privacy variations, smart home contexts, and different user preferences. The study recruited <b>23</b> participants and they were inquired about the user experience of the video prototypes based on adaptive user interfaces. This document includes the transcriptions of those interviews.<br>This study was approved by the Open University’s Human Research Ethics Committee (<b>HREC/3588/Wijesundara</b>).<br>
DOI: 10.6084/m9.figshare.14815077
title: Supplementary Material for: Current and Future Projections of Amyotrophic Lateral Sclerosis in the United States Using Administrative Claims Data

description: <b><i>Background:</i></b> Various methodologies have been reported to assess the real-world epidemiology of amyotrophic lateral sclerosis (ALS) in the United States. The aim of this study was to estimate the prevalence, incidence, and geographical distribution of ALS using administrative claims data and to model future trends in ALS epidemiology. <b><i>Methods:</i></b> We performed a retrospective analysis of deidentified administrative claims data for &gt;100 million patients, using 2 separate databases (IBM MarketScan Research Databases and Symphony Health Integrated DataVerse [IDV]), to identify patients with ALS. We evaluated disease prevalence, annual incidence, age- and population-controlled geographical distribution, and expected future trends. <b><i>Results:</i></b> From 2013 to 2017, we identified 7,316 and 35,208 ALS patients from the MarketScan databases and IDV, respectively. Average annual incidence estimates were 1.48 and 1.37 per 100,000 and point prevalence estimates were 6.85 and 5.16 per 100,000 and in the United States for the MarketScan databases and IDV, respectively. Predictive modeling estimates are reported out to the year 2060 and demonstrate an increasing trend in both incident and prevalent cases. <b><i>Conclusions:</i></b> This study provides incidence and prevalence estimates as well as geographical distribution for what the authors believe to be the largest ALS population studied to date. By using 2 separate administrative claims data sets, confidence in our estimates is increased. Future projections based on either database demonstrate an increase in ALS cases, which has also been seen in other large-scale ALS studies. These results can be used to help improve the allocation of healthcare resources in the future.
DOI: 10.5281/zenodo.5005175
title: FoPIA-SURE-Farm 1 dataset

description: This dataset contains the FoPIA-SURE-Farm data from workshops on assessing current sustainability and resilience of farming systems conducted within the context of SURE-Farm in the winter of 2018/2019.
description: {"references": ["Reidsma, P., Paas, W., Spiegel, A., Meuwissen, M., 2019. Guidelines for the Framework of Participatory Impact Assessment of SUstainable and REsilient EU FARMing systems (FoPIA-Surefarm), in: Paas, W., Accatino, F., Antonioli, F., Appel, F., Bardaji, I., Coopmans, I., Courtney, P., Gavrilescu, C., Heinrich, F., Krupin, V., Manevska-Tasevska, G., Neumeister, D., Peneva, M., Rommel, J., Severini, S., Soriano, B., Tudor, M., Urquhart, J., Wauters, E., Zawalinska, K., Meuwissen, M., Reidsma, P. (Eds.), D5.2 Participatory Impact Assessment of Sustainability and Resilience of EU Farming Systems. Sustainable and resilient EU farming systems (SURE-Farm) project report, EU Horizon 2020 Grant Agreement No. 727520.", "Paas, W., Coopmans, I., Severini, S., van Ittersum, M., Meuwissen, M., Reidsma, P., 2021. Participatory assessment of sustainability and resilience of three specialized farming systems. Ecol. Soc. 26, 2. https://doi.org/https://doi.org/10.5751/ES-12200-260202", "Paas, W., Accatino, F., Antonioli, F., Appel, F., Bardaji, I., Coopmans, I., Courtney, P., Gavrilescu, C., Heinrich, F., Krupin, V., Manevska-Tasevska, G., Neumeister, D., Peneva, M., Rommel, J., Severini, S., Soriano, B., Tudor, M., Urquhart, J., Wauters, E., Zawalinska, K., Meuwissen, M., Reidsma, P., 2019. D5.2 Participatory impact assessment of sustainability and resilience of EU farming systems. Sustainable and resilient EU farming systems (SureFarm) project report, EU Horizon 2020 Grant Agreement No. 727520. https://doi.org/10.13140/RG.2.2.25104.25601"]}
DOI: 10.5281/zenodo.4985441
title: Agricultural land use and livestock composition by case study of the SURE-Farm project - Input data for a dynamic nitrogen flow model

description: Dataset used as input to the model by Pinsard et al (2021) and results published in D5.5 of the SURE-Farm project.