cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7957143
title: Effects of Covid-19 Vaccines on the Menstrual Cycle: A Cross-Sectional Study

description: Background: Prior clinical studies that sought to investigate the safety and efficacy of Covid-19 vaccines did not list menstrual cycle changes as a side-effect. However, following reported cases of menstrual cycle disturbances after vaccination, this study sought to examine the link between Covid-19 vaccination and post-vaccine menstrual cycle abnormalities in pre- and post-menopausal women. Methods: A cross-sectional research design approach using online surveys was employed to investigate the link between vaccination and changes in menstrual cycle. The participants consisted of a cohort of 657 pre- and post-menopausal women with the majority drawn from the reproductive age group (25-44 years). The inclusion criteria was that participants must have received any type of Covid-19 vaccine, not be pregnant and those that did not have a negative diagnosis in any gynecologic condition. Of the eligible sample size, only 344 participants met the inclusion criteria. The sociodemographic and menstrual cycle data was collected from an online survey. Data was analyzed using descriptive, inferential chi-square tests, logistic regression, and correlation. Results: The results partially confirmed the findings from prior studies that Covid-19 vaccination is associated with significant changes in the women’s menstrual cycle flow and menstrual period length even after controlling for age, Body Mass Index, and ethnicity. Other menstrual cycle disturbances such as missed periods, cycle regularity, and spotting/vaginal bleeding were noted to be less significant. However, the extent of menstrual cycle changes was less severe and decreased after the second dose vaccination. It was found that 11.1% and 37.5% of post-menopausal women reported menstrual symptoms after the first and the second dose cycle respectively. Conclusion: The study concludes that although Covid-19 vaccines tend to adversely affect women’s menstrual cycle, these changes are short-lived. The findings have important implications in enhancing the success of Covid-19 vaccination programs by reducing cases of vaccine hesitancy among reproductive-age women.
DOI: 10.5281/zenodo.7957142
title: Effects of Covid-19 Vaccines on the Menstrual Cycle: A Cross-Sectional Study

description: Background: Prior clinical studies that sought to investigate the safety and efficacy of Covid-19 vaccines did not list menstrual cycle changes as a side-effect. However, following reported cases of menstrual cycle disturbances after vaccination, this study sought to examine the link between Covid-19 vaccination and post-vaccine menstrual cycle abnormalities in pre- and post-menopausal women. Methods: A cross-sectional research design approach using online surveys was employed to investigate the link between vaccination and changes in menstrual cycle. The participants consisted of a cohort of 657 pre- and post-menopausal women with the majority drawn from the reproductive age group (25-44 years). The inclusion criteria was that participants must have received any type of Covid-19 vaccine, not be pregnant and those that did not have a negative diagnosis in any gynecologic condition. Of the eligible sample size, only 344 participants met the inclusion criteria. The sociodemographic and menstrual cycle data was collected from an online survey. Data was analyzed using descriptive, inferential chi-square tests, logistic regression, and correlation. Results: The results partially confirmed the findings from prior studies that Covid-19 vaccination is associated with significant changes in the women’s menstrual cycle flow and menstrual period length even after controlling for age, Body Mass Index, and ethnicity. Other menstrual cycle disturbances such as missed periods, cycle regularity, and spotting/vaginal bleeding were noted to be less significant. However, the extent of menstrual cycle changes was less severe and decreased after the second dose vaccination. It was found that 11.1% and 37.5% of post-menopausal women reported menstrual symptoms after the first and the second dose cycle respectively. Conclusion: The study concludes that although Covid-19 vaccines tend to adversely affect women’s menstrual cycle, these changes are short-lived. The findings have important implications in enhancing the success of Covid-19 vaccination programs by reducing cases of vaccine hesitancy among reproductive-age women.
DOI: 10.4121/e88833c3-75cf-46de-a149-be4ecd60720e
title: SEM dataset

description: Data used in our working paper "Do Different Bank-Level Securitization Variables Measure The Same Thing? A Confirmatory Factor Analysis"Contains US banks' securitization measures, extracted from the Call Report Data. For working paper, see https://ris.utwente.nl/ws/portalfiles/portal/305114565/_3_Paper_Securitization_SEM.pdf
DOI: 10.4121/e88833c3-75cf-46de-a149-be4ecd60720e.v1
title: SEM dataset

description: Data used in our working paper "Do Different Bank-Level Securitization Variables Measure The Same Thing? A Confirmatory Factor Analysis"Contains US banks' securitization measures, extracted from the Call Report Data. For working paper, see https://ris.utwente.nl/ws/portalfiles/portal/305114565/_3_Paper_Securitization_SEM.pdf
DOI: 10.5281/zenodo.7954840
title: An ice-tethered, non-floating Trident Sensors Helix Beacon during SCALE 2019 Spring Cruise

description: <strong>Brief data description</strong> A Trident Sensors Helix Beacon identical to the one described in Womack et al. (2022), was deployed on sea ice at latitude 59.47<sup>o</sup> S and longitude 10.89<sup>o</sup> E, on 30 October 2019, as part of the <em>Southern oCean seAsonal Experiment</em> (SCALE; Ryan-Keogh and Vichi, 2022) aboard the SA Agulhas II. The region where the Trident was deployed (Antarctic marginal ice zone) consisted of first-year ice conditions, with an average thickness of 80-90 cm. The device was deployed by hand by three people, lowered by crane from the ship to the ice on a basket cradle. The temporal resolution was approximately four hours. The survival of the Trident depended on staying fixed to the ice floe and its battery life. The Trident recorded GPS position and air temperature, and transmitted data until 2 December 2019, where it sank due to sea-ice melting. <strong>Buoy name and raw data:</strong> Trident: Unit4.xlsx <strong>Related code: </strong>The buoy data has been processed using https://github.com/mvichi/antarctic-buoys/.
description: This research has been supported by the National Research Foundation of South Africa (grant no. 118745). This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101003826 via project CRiceS (Climate Relevant interactions and feedbacks: the key role of sea ice and Snow in the polar and global climate system). A.T. acknowledges the support from the Australian Research Council (DP200102828). A.A acknowledges the support from the London Mathematical Society (Scheme 5 – Ref. 52206). We acknowledge the Southern oCean seAsonaL Experiment (SCALE), and thank the captain and the crew of the SA Agulhas II for the assistance during the deployments.
description: {"references": ["Ryan-Keogh, T. and Vichi, M. (2022). SCALE-WIN19 & SCALE-SPR19 Cruise Report, Southern Ocean Seasonal Cycle Experiment, South Africa, 339 pp,\u00a0 https://doi.org/10.5281/zenodo.5906324.", "Womack, A., Vichi, M., Alberello, A., and Toffoli, A. (2022). Atmospheric drivers of a winter-to-spring Lagrangian sea-ice drift in the Eastern Antarctic marginal ice zone.\u00a0Journal of Glaciology, 1-15. https://doi.org/10.1017/jog.2022.14."]}
DOI: 10.6084/m9.figshare.23055407
title: 2-organism (fish and lizard) model of Neural Cellular Automaton

description: Data to load the 2-organism (fish and lizard) self-replicating model of Neural Cellular Automaton. At training step = 3000 the model has not completely converged yet. At t = 4000 the model is more stable.
DOI: 10.6084/m9.figshare.23055407.v1
title: 2-organism (fish and lizard) model of Neural Cellular Automaton

description: Data to load the 2-organism (fish and lizard) self-replicating model of Neural Cellular Automaton. At training step = 3000 the model has not completely converged yet. At t = 4000 the model is more stable.
DOI: 10.6084/m9.figshare.23055548
title: Self-replicating fish model of Neural Cellular Automaton

description: Self-replicating fish model of Neural Cellular Automaton
DOI: 10.5519/qd.mydqsyfs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1038245 records)
DOI: 10.5281/zenodo.7957138
title: Catalytic Rules and Validation Results for "EzMechanism: An Automated Tool to Propose Catalytic Mechanisms of Enzyme Reactions"

description: Dataset containing the "Rules of Enzyme Catalysis" as created during the development of EzMechanism and the validation results of the software. For more information see https://www.biorxiv.org/content/10.1101/2022.09.05.506575v1, and the M-CSA website in https://www.ebi.ac.uk/thornton-srv/m-csa/
DOI: 10.5281/zenodo.7957137
title: Catalytic Rules and Validation Results for "EzMechanism: An Automated Tool to Propose Catalytic Mechanisms of Enzyme Reactions"

description: Dataset containing the "Rules of Enzyme Catalysis" as created during the development of EzMechanism and the validation results of the software. For more information see https://www.biorxiv.org/content/10.1101/2022.09.05.506575v1, and the M-CSA website in https://www.ebi.ac.uk/thornton-srv/m-csa/
DOI: 10.5281/zenodo.7957206
title: Professional Technology Enhanced Learning: Systematic Literature Review Dataset

description: Professional Technology-Enhanced Learning is concerned with technology-enhanced learning for professionals, i.e. people in employed jobs. Other terms used instead of professional learning are sometimes workplace learning or work-related learning; and there is a large overlap with research that focusses on informal, situated, or lifelong learning. <br> In this spreadsheet, we publish data collected for a systematic mapping study. The goal of the study was to map existing literature on professional technology-enhanced learning. The data collection followed Kitchenham and Charter's (2007) method for systematic literature reviews. This spreadsheet shows 58 papers, for which we excerpted authors (one, two or three author surnames fully shown, for more authors, only the first author name is shown with the extension "et al."), title, DOI or permanent link, the citation as given by the source, and the abstract. We hope that others find this data useful, and if they do so reference this data collection, referring to it as follows: Cicchinelli and Pammer-Schindler (2023). Professional Technology Enhanced Learning: A Systematically Collected Dataset of Academic Publications in the Field. DOI: https://doi.org/10.5281/zenodo.7957206
DOI: 10.5281/zenodo.7957205
title: Professional Technology Enhanced Learning: Systematic Literature Review Dataset

description: Professional Technology-Enhanced Learning is concerned with technology-enhanced learning for professionals, i.e. people in employed jobs. Other terms used instead of professional learning are sometimes workplace learning or work-related learning; and there is a large overlap with research that focusses on informal, situated, or lifelong learning. <br> In this spreadsheet, we publish data collected for a systematic mapping study. The goal of the study was to map existing literature on professional technology-enhanced learning. The data collection followed Kitchenham and Charter's (2007) method for systematic literature reviews. This spreadsheet shows 58 papers, for which we excerpted authors (one, two or three author surnames fully shown, for more authors, only the first author name is shown with the extension "et al."), title, DOI or permanent link, the citation as given by the source, and the abstract. We hope that others find this data useful, and if they do so reference this data collection, referring to it as follows: Cicchinelli and Pammer-Schindler (2023). Professional Technology Enhanced Learning: A Systematically Collected Dataset of Academic Publications in the Field. DOI: https://doi.org/10.5281/zenodo.7957206
DOI: 10.4121/21270948.v2
title: COAST-HG: A global COastal dAtaset of Storm Tide HydroGraphs

description: Coastal flooding is driven by both high tides and/or storm surge, the latter being caused by strong winds and low pressure in tropical and extratropical. The combination of storm surge and the astronomical tide is defined as the storm tide. To gain understanding into the threat imposed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Most models capable of simulating coastal inundation at the global scale follow a simple planar approach, often referred to as bathtub models. The main limitations of this type of model are that they implicitly assume an infinite flood duration and do not capture relevant physical processes. In this study we develop a method to generate hydrographs called HGRAPHER, and provide a global dataset of storm tide hydrographs. These hydrographs represent the typical shape of an extreme storm tide at a certain location along the global coastline. We test the sensitivity of the HGRAPHER method with respect to two main assumptions that determine the shape of the hydrograph, namely the surge event sampling threshold and coincidence in time of the surge and tide maxima. These hydrographs can be used to move away from planar to more advanced dynamic inundation modelling techniques at large scales. The dataset consists of storm tide hydrographs corresponding to the 1-in-100 year RP. The storm tide levels correspond to the COAST-RP dataset. There are two hydrographs available per output location, one that represents average tide conditions and one for spring tide conditions.
DOI: 10.4121/21270948
title: COAST-HG: A global COastal dAtaset of Storm Tide HydroGraphs

description: Coastal flooding is driven by both high tides and/or storm surge, the latter being caused by strong winds and low pressure in tropical and extratropical. The combination of storm surge and the astronomical tide is defined as the storm tide. To gain understanding into the threat imposed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Most models capable of simulating coastal inundation at the global scale follow a simple planar approach, often referred to as bathtub models. The main limitations of this type of model are that they implicitly assume an infinite flood duration and do not capture relevant physical processes. In this study we develop a method to generate hydrographs called HGRAPHER, and provide a global dataset of storm tide hydrographs. These hydrographs represent the typical shape of an extreme storm tide at a certain location along the global coastline. We test the sensitivity of the HGRAPHER method with respect to two main assumptions that determine the shape of the hydrograph, namely the surge event sampling threshold and coincidence in time of the surge and tide maxima. These hydrographs can be used to move away from planar to more advanced dynamic inundation modelling techniques at large scales. The dataset consists of storm tide hydrographs corresponding to the 1-in-100 year RP. The storm tide levels correspond to the COAST-RP dataset. There are two hydrographs available per output location, one that represents average tide conditions and one for spring tide conditions.
DOI: 10.25824/redu/vxobgs
title: fermentation_SCW_GCW_traditional_US_assited_and_protease.tab

description: Fermentation (traditional and US-assisted), of sheep and goat cheese whey added by protease
DOI: 10.25824/redu/rbiqsw
title: Fermentation (traditional and US-assisted), of sheep and goat cheese whey added by protease

description: Data cover pH decline during SCW and GCW fermentation (using traditional and US-assisted process, added or not with protease) and the characteristics of the samples (pH, lactic acid bacteria counts, and physical destabilization) during storage at 7ºC/ 28 days.
DOI: 10.5281/zenodo.7188627
title: Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection

description: Coswara is a dataset containing diverse set of respiratory sounds and rich meta-data from COVID-19 positive and Non-COVID subjects.
DOI: 10.5281/zenodo.7188626
title: Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection

description: Coswara is a dataset containing diverse set of respiratory sounds and rich meta-data from COVID-19 positive and Non-COVID subjects.
DOI: 10.34740/kaggle/dsv/5743181
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.23055899
title: rawdataforahe.zip

description: This dataset is for the paper <strong>Cross-cultural Analysis of the Attention Hijacking Effect: Empirical Evidence from Google Search Data.</strong>
DOI: 10.6084/m9.figshare.23055899.v1
title: rawdataforahe.zip

description: This dataset is for the paper <strong>Cross-cultural Analysis of the Attention Hijacking Effect: Empirical Evidence from Google Search Data.</strong>
DOI: 10.3886/e184441
title: Data and Code for: Least Protected, Most Affected: Impacts of Migration Regularization Programs on Pandemic Resilience

description: We leverage panel data collected during the COVID-19 pandemic to assess whether Venezuelan forced migrants who were eligible for a regularization program in Colombia were more resilient and less affected by the pandemic than similar but non-eligible forced migrants. Results indicate that access to the program promoted better health access for eligible migrants, facilitating adherence to prevention guidelines and increasing detection rates. Additionally, eligible migrants had better housing and labor conditions, relative to non-eligible migrants.
description: The survey does not include a weight variables
description: Presence of Common Scales: We do not use scale variables in the analysis
description: We use two waves of the Venezuelan Refugees Panel Survey (VenRePS), administered in the second semesters of 2020 and 2021.<br><br>The baseline sample covered 2,232 forced migrant households who arrived in Colombia between January 1, 2017 and December 2018, including 1,135 who registered in a previous survey called Registro Administrativo de Migrantes Venezolanos (from here on RAMV migrants), and 1,097 irregular forced migrants (non-RAMV migrants from here on). The sample of RAMV migrants was randomly selected from the RAMV census. The sample for non-RAMV migrants was randomly selected by combining databases shared by associations of Venezuelan refugees and referrals from migrants who were being surveyed as part of the RAMV sample frame. In the second wave, we re-interviewed 1,432 households (64% of the sample in the first wave). Attrition from the sample was not systematic with respect to baseline conditions.<br><br>
description: Venezuelan forced migrants that fulfilled the following criteria: (i) aged 18 or older; (ii) were undocumented at the time of arrival to Colombia; and (iii) arrived in Colombia between January 1, 2017, and December 2018. . Smallest Geographic Unit: The sample is representative of the three cities in Colombia that host the largest share of Venezuelan migrants (Barranquilla, Bogotá and Medellín) and a fourth “region” that aggregates smaller cities.
description: telephone interview;
DOI: 10.3886/e184441v1
title: Data and Code for: Least Protected, Most Affected: Impacts of Migration Regularization Programs on Pandemic Resilience

description: We leverage panel data collected during the COVID-19 pandemic to assess whether Venezuelan forced migrants who were eligible for a regularization program in Colombia were more resilient and less affected by the pandemic than similar but non-eligible forced migrants. Results indicate that access to the program promoted better health access for eligible migrants, facilitating adherence to prevention guidelines and increasing detection rates. Additionally, eligible migrants had better housing and labor conditions, relative to non-eligible migrants.
description: The survey does not include a weight variables
description: Presence of Common Scales: We do not use scale variables in the analysis
description: We use two waves of the Venezuelan Refugees Panel Survey (VenRePS), administered in the second semesters of 2020 and 2021.<br><br>The baseline sample covered 2,232 forced migrant households who arrived in Colombia between January 1, 2017 and December 2018, including 1,135 who registered in a previous survey called Registro Administrativo de Migrantes Venezolanos (from here on RAMV migrants), and 1,097 irregular forced migrants (non-RAMV migrants from here on). The sample of RAMV migrants was randomly selected from the RAMV census. The sample for non-RAMV migrants was randomly selected by combining databases shared by associations of Venezuelan refugees and referrals from migrants who were being surveyed as part of the RAMV sample frame. In the second wave, we re-interviewed 1,432 households (64% of the sample in the first wave). Attrition from the sample was not systematic with respect to baseline conditions.<br><br>
description: Venezuelan forced migrants that fulfilled the following criteria: (i) aged 18 or older; (ii) were undocumented at the time of arrival to Colombia; and (iii) arrived in Colombia between January 1, 2017, and December 2018. . Smallest Geographic Unit: The sample is representative of the three cities in Colombia that host the largest share of Venezuelan migrants (Barranquilla, Bogotá and Medellín) and a fourth “region” that aggregates smaller cities.
description: telephone interview;
DOI: 10.3886/e190488
title: Data and Code for "The Importance of Fed Chair Speeches as a Monetary Policy Tool"

description: I estimate the effects of FOMC announcements, post-FOMC press conferences, and speeches and Congressional testimony by the Fed Chair on stock prices, Treasury yields, and interest rate futures from 1988–2019. I show that for all but the very shortest-maturity interest rate futures, Fed Chair speeches are more important than FOMC announcements. My results suggest that the previous literature’s focus on FOMC announcements has ignored the most important source of variation in U.S. monetary policy.
description: Eurodollar futures, S&P500 futures, and Treasury futures traded in Chicago<br>Federal Reserve announcement dates and times collected from various Federal Reserve sources and newswires.
DOI: 10.3886/e190488v1
title: Data and Code for "The Importance of Fed Chair Speeches as a Monetary Policy Tool"

description: I estimate the effects of FOMC announcements, post-FOMC press conferences, and speeches and Congressional testimony by the Fed Chair on stock prices, Treasury yields, and interest rate futures from 1988–2019. I show that for all but the very shortest-maturity interest rate futures, Fed Chair speeches are more important than FOMC announcements. My results suggest that the previous literature’s focus on FOMC announcements has ignored the most important source of variation in U.S. monetary policy.
description: Eurodollar futures, S&P500 futures, and Treasury futures traded in Chicago<br>Federal Reserve announcement dates and times collected from various Federal Reserve sources and newswires.