cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hfdg5297kc.1
title: An Annotated Dataset for Identifying Behaviour Change Based on Five Doors Theory Under Coral Bleaching Phenomenon on Twitter

description: The data was crawled with specific keywords. Crawling process is done periodically, starting from January 2021 to May 2021. All the data are prepared for labelling process, which were standardized with annotation rubric. The data has been filtered for non-English, relevance, and duplication. Two expert annotators were qualitatively and manually labelling the data according to 5 stages of behaviour change proposed by Robinson. If there was any split decision between two annotators, then the data will be passed into the additional annotator for a majority vote.
DOI: 10.17632/jf5g5d8gd6.1
title: Pingo Dataset

description: Labeled image files of pingos in northern Alaska. This dataset compliments the Github repository https://github.com/UW-ESS-DS/cnuyen/tree/main/pingo_project and is used to train a Convolutional Neural Network.
DOI: 10.17632/6sz45ncxj3.1
title: Intuitive and Disordered Eating in the Postpartum

description: A cross-sectional survey of 49 postpartum women examining disordered eating, intuitive eating, depression, BMI and body image
DOI: 10.17632/cmrszbfbvb.1
title: Non-Traditional Online and Traditional Wet-lab Academic Performance Data

description: The raw data table shows overall course grades for two groups of students (the “traditional wet-lab” group and the “non-traditional online lab” group) enrolled in Human Anatomy and Physiology II courses during one academic year. Additionally, summed student scores on Human Anatomy and Physiology II lecture exams and lab exams administered over the course of the semester are given. Overall course grades of these students in Human Anatomy and Physiology I during the previous semester are also included. Last, student scores on a standardized exam used as a HAPS (Human Anatomy and Physiology Society )pre-test / post-test (administered at the beginning of the academic year in August, and again at the end of the academic year in May) are given. The values in the table are scores earned by individual students, expressed as points.
DOI: 10.17632/jxggw8v8zc.2
title: Intention and recommendation to use mobile banking apps – Ho Chi Minh City, Vietnam

description: The survey was carried out in Ho Chi Minh City in May-June 2021.
DOI: 10.17632/dp43ny2xj5.1
title: Clam shrimp from the Lower Cretaceous Lishugou Formation in eastern Liaoning, northeastern China

description: Abundant clam shrimp were recovered from the Lower Cretaceous Lishugou Formation near Xiaowenzhigou village, northwestern Huanren Manchu Autonomous County, Benxi City, eastern Liaoning Province, which belong to a Yanjiestheria Fauna. In total twelve complete and fragemented specimens were documented in this dataset. A fossil locality map and columnar section have also been included in this dataset.
DOI: 10.17632/bnzw823v6y.1
title: UDKM1DSIM – a Python toolbox for simulating 1D ultrafast dynamics in condensed matter

description: The udkm1Dsim toolbox is a collection of Python classes and routines to simulate the thermal, structural, and magnetic dynamics after laser excitation as well as the corresponding X-ray scattering response in one-dimensional samples, such as multilayers. The toolbox provides the capabilities to define arbitrary layered structures on the atomic level including a rich database of element-specific physical properties. The excitation of dynamics is represented by an N-temperature-model which is commonly applied in ultrafast physics. Structural dynamics due to thermal stresses are calculated by a linear-chain model of masses and springs. The implementation of specific magnetic dynamics can be easily accomplished by the user employing a generalized magnetization interface class. The resulting X-ray diffraction response is computed by kinematical or dynamical X-ray theory which can also include polarization-dependent magnetic scattering. The udkm1Dsim toolbox is highly modular and allows for injecting user-defined inputs at any step within the simulation procedure. The previous version of this program (AERH_v1_0) can be found at https://doi.org/10.1016/j.cpc.2013.10.009.
DOI: 10.25934/00003066.0
title: Available IPD datapackage for study 'A Multicenter, Randomized, Open-Label Study of the Injection Time and Usability of the Physiolis Syringe and Autoinjector in Injection-Experienced Rheumatoid Arthritis Patients'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003066.1
title: IPD datapackage for study 'A Multicenter, Randomized, Open-Label Study of the Injection Time and Usability of the Physiolis Syringe and Autoinjector in Injection-Experienced Rheumatoid Arthritis Patients' and research request: 'Predicting the Treatment Response of Biologics for Individual Patients with Rheumatoid Arthritis: An Individual Participant Data Meta-Analysis '

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.17632/89v7d4wmmk.2
title: Distinct geochemical behavior of water in olivine between silicate and carbonatite metasomatism

description: Water content analysis result.
DOI: 10.17632/52yj8d9p4t.2
title: Exciton–phonon coupling strength in single-layer MoSe2 at room temperature

description: Source data from the paper "Exciton–phonon coupling strength in single-layer MoSe2 at room temperature".
DOI: 10.17632/5kz7vgfk34.1
title: PubRepo

description: The data-set presented in this study is used to identify the acceptability and adaptability of publication repository system in a University environment. The data has been collected over a period of two months, ranging from April 2021 till May 2021. The entire procedure was concluded with the help of an online survey.
DOI: 10.17632/j88f62p7wv.1
title: Willingness to donate to the COVID-19 vaccine fund of highly educated people in Vietnam

description: The survey was carried out in Ho Chi Minh City in June 2021. The dataset includes 537 valid responses.
DOI: 10.17632/wsfrgbd5t8.1
title: Eddy Covariance measurements over the Gulf of Eilat (Aqaba) fringing coral reef

description: eddy covariance measurement and micro-meteorological parameters over the gulf of Eilat reef during the 13/09/2020-07/10/2020
DOI: 10.17632/sp5rgjt6v4.1
title: Noise vs Resolution in Optical Chemical Imaging - image data

description: This dataset contains original images used for the calibration of O2 optodes and the O2 concentration gradient for the paper "Noise vs Resolution in Optical Chemical Imaging: How confident are we in what we measure?" For both, calibration and experiment, the jpg images have been separated by the software look@RGB and relevant color images (red channel and one green channel) are collected here. The procedure of how to analyze the data is presented in the corresponding paper and the code, written in Python, can be downloaded vis GitHub (https://github.com/silviaelisabeth/Noise-vs-Resolution).
DOI: 10.17632/9jjbzd5b67.1
title: A dataset of food promotion on television targeted to children in Guatemala and Costa Rica

description: Childhood overweight and obesity are among the most critical challenges facing public health in the 21st century, being more prevalent in low- and middle-income countries. Promoting healthy foods to children has been shown to influence their purchasing requests and food preferences. The objective of this project was to assess the extent and nature (e.g. persuasive marketing techniques (PMT) and health related claims) of unhealthy food advertisements targeted to children (3-11 years) on the most-watched television channels in Guatemala and Costa Rica. The datasets contain information about 1862 food and beverages ads from Costa Rica and 2841 from Guatemala classified as permitted and non-permitted for marketing to children, according to the 2015 World Health Organization (WHO) nutrient profile, and PMT (i.e premium offers, promotional characters, brand benefit claims) and health related claims were also identified. We used the standardized methodology (training, sampling, recording, and ads coding) of the International Network for Food and Obesity Non-Communicable Diseases Research, Monitoring and Action Support (INFORMAS) for monitoring the extent and nature of food advertising on TV. Published files: • Read me file, contains descriptive information of each file, articles published from these datasets and contact information. • Protocol • Data collection form 1 • Costa Rica food promotion dataset ( csv format) • Guatemala food promotion dataset (csv format) • Data dictionary
DOI: 10.17632/9smgtxdws3.1
title: Local Field Effect on Luminescent Properties of Organic Molecule-doped Silica Nanoparticles

description: Supplemental files for article published in Optical Materials X
DOI: 10.17632/m777bn249d.1
title: Subsidisation cost analysis of renewable energy deployment: A case study on the Italian feed-in tariff programme for photovoltaics

description: The file contain all data used in the paper, including input data, scenario output data etc.
DOI: 10.17632/b2cx644vhx.1
title: Intention and recommendation to use mobile banking apps – Dataset from Ho Chi Minh City, Vietnam

description: The survey was carried out in Ho Chi Minh City in May-June 2021.
DOI: 10.17632/xz38bfzrp2.2
title: : Otorhinolaryngological anomalies in children and young adults with congenital ichthyoses: Prospective assessment in a multidisciplinary clinic.

description: AUDIO FILE 1: Dysphonia in a 9-year-old patient with erythrodermia with cardiomyopathy syndrome due to a desmoplakin (DSP) gene mutation. Note the low-pitched hoarse voice.
DOI: 10.17632/wphgmsdp9f.2
title: Numerical LMI solutions for State Feedback with Polynomial Lyapunov Functions

description: Simulation and LMI codes for the problem of state feedback design for nonlinear systems using polynomial Lyapunov functions. The LMIs are solved with MATLAB toolboxes, Sedumi and Yalmip. We provide the LMI conditions, the programs and simulation schemes to make it easier to reproduce two numerical problems.
DOI: 10.17632/hjh2wm3r5k.3
title: Apollo 12 landing site photogrammetry data

description: Photogrammetric data for Apollo 12 landing site: coordinates of camera stations, selected objects on the surface, map, raw data data for ImageModeler 2009. It is based on Hasselblad photographs made by the crew during their EVAs and from the LM windows. Positions of camera stations, artifacts (Lunar Module, Surveyor 3 space probe, ALSEP instruments ets) and landscape features were determined, topocentric coordinates were introduced.
DOI: 10.17632/zp2bs5hjbh.1
title: Variations in Medical Management of SJS/TEN: Supplement

description: This dataset contains the full survey and 2 supplementary table to accompany the manuscript: Medical Management of SJS/TEN Among North American Dermatologists
DOI: 10.17632/ptzc7jxhmn.1
title: A linear input dependence model for interdependent networks

description: This repository contains raw data generated for use in Kaul and Rumpf 2021 (referenced below), and includes the results from a series of computational trials that compare the behaviors of binary and linear input dependence models for interdependent flow networks. A large number of artificial test networks was generated, solved exactly using the binary input dependence model, solved exactly using the linear relaxation, and then solved approximately using a randomized rounding algorithm based on the solution of the linear relaxation. The results from these trials suggest that the linear relaxation typically produces objective values extremely similar to the binary model while being significantly less computationally expensive, and that the linear relaxation can be used as part of a randomized rounding scheme to produce near-optimal feasible solutions to the binary model usually within only a few attempts, although these results can vary significantly by network. Moreover, the linear relaxation and randomized rounding schemes tend to perform better and to produce results closer to the binary model when the density of interdependent arcs is relatively low. See the README included in the data set for a full description.
DOI: 10.17632/z73f3dhs6m.1
title: CV & mental in COVID

description: With the COVID-19 pandemic lasting over a year and affecting all continents, a new problem has arisen, that of convalescents, who continue to have various symptoms at more than 4 and up to 12 weeks after the acute disease, the so called post-acute COVID-19 syndrome. In this article, we tried to determine, if previously healthy adults, with post-acute COVID-19 syndrome also have cardiac complications related to the number of persisting symptoms, the Quality of Life scores and the initial pulmonary injury. We evidenced, by transthoracic echocardiography, at about a quarter of the 150 participants in our study, cardiac abnormalities (pulmonary hypertension, systolic and diastolic dysfunction, pericarditis), their gravity being significantly correlated with the severity of COVID-19, the number of weeks passed since the acute illness, with the number of persisting symptoms, and the quality of life. Post-acute COVID-19 is a recently proposed term which aims to characterize the various symptoms persisting after an acute SARS-CoV-2 infection, their severity being explained partially, by residual multi-system alterations with important impact on the functional status and quality of life of the affected individuals. "Victor Babes" University of Medicine and Pharmacy Timisoara, Romania
DOI: 10.17632/pv2jvghs9b.1
title: A public transit network optimization model for equitable access to social services

description: This repository contains raw data generated for use in Rumpf and Kaul 2021 (referenced below), and includes sets of files for defining transit networks as well as raw data tables generated by the solution algorithm. See the included README for an in-depth explanation of each data set. The main focus of the study was to develop and test a public transit design model for improving equity of access to social services throughout a city. The main case study was based on the Chicago Transit Authority network, with the goal of making minor alterations to the bus fleet assignments in order to improve equity of access to primary health care facilities. A small-scale artificial network was also generated for use in sensitivity analysis. The data sets in this repository include network files used by our hybrid tabu search/simulated annealing solution algorithm in order to solve the social access maximization problem (see the GitHub repository referenced below). Also included are the raw data tables from the CTA and artificial network trial sets. The results of this study indicate that it is indeed possible to significantly increase social service access levels in the least advantaged areas of a community while still guaranteeing that transit service remains near its current level. While improving the access in some areas does require that other areas lose some access, the gains are generally much greater than the losses. Moreover, the losses tend to occur in the areas that already enjoy the greatest levels of access, with the net result being a more even distribution of accessibility levels throughout the city.
DOI: 10.17632/dtjm4sr22s.1
title: Evidence of Pulmonary Hypertension after SARS-CoV-2 Infection in Subjects without Previous Significant Cardiovascular Pathology

description: Background: Coronavirus (Covid-19) infection represents a serious medical condition, often associated with cardiovascular complications, pulmonary hypertension (PH), and right ventricle dysfunction (RVD). The aim of this study is to show, by means of transthoracic echocardiography (TTE), the presence of an increased estimated systolic pressure in the pulmonary artery (esPAP) and altered right ventricular global longitudinal strain (RV-GLS) in patients without history of PH. Methods: In a group of 91 patients, aged under 55 years, hospitalized for a moderate Covid-19 infection, a thorough cardiologic and TTE examination were performed two months after discharge. Their initial thorax computer-tomography (TCT) images and laboratory data were accessed from the electronic data base of the hospital. Results: We observed an increased prevalence of PH (7.69%) and RVD (10.28%), significantly correlated with the initial levels of the TCT score and inflammatory factors (p ˂ 0.001), but borderline changes were observed in more patients. Multivariate regression analysis showed that these factors and RV-GLS explain 89.5% of elevated esPAP. Conclusions: In COVID-19 infection, PH and RVD are common complications, being encountered after the recovery even in moderate cases. It appears to be a connection between their severity and the extent of the initial pulmonary injury and of the inflammatory response. University of Medicine and Pharmacy “Victor Babes” Timisoara, E. Murgu Square, Nr. 2, 300041 Timisoara, Romania
DOI: 10.17632/jm4t6ygxrj.1
title: data_table_agh-etal-2021

description: This data set belongs to the publication of Ágh et al. 2021 (under review at International Journal of Parasitology).
DOI: 10.17632/mj7ss3m592.1
title: A method to mitigate the impact of cycling operation and carbon emissions

description: Geographical position of US 48 states has substantial distance from the equator in terms of latitude. Hence, the region makes substantial gains with the availability of daylight by adjusting their time in specific seasons. For large countries like USA, the geographic territorial distances in longitude justify multiple time zones. A mathematical model is available to split a territory in terms of multiple time-keeping zones of one-hour interval where area of each time-keeping zone is a function of hourly rise / fall of electrical power demand and longitude differential of its territory. Configuration of the time-keeping zones as a function of hourly rise and fall in demand is expected to result in higher reduction in daily differential in electrical power demand. In order to apply the model, it is required to have governance area wise hourly demand. US 48 states have a longitude differential of 60o. The four time zones across US 48 states make a rational time division of the geographical territory. It is essential to ascertain the benefits to justify any adjustment in these time zones. Investigations are necessary to determine the reduction in carbon emissions with adjustment of time zones for US 48 states. This work makes use of electric power demand data of USA as available from the API in USEIA website for the period from November 2018 to October 2019. This period covers one complete cycle of winter time and summer time. As state wise hourly demand figures are not available, the utility wise data has been used. In most cases, break-up of state wise hourly demand data for the utilities are available from their respective websites and USEIA. However, for MISO, SWPP and some smaller utilities, data are overlapping among multiple states. Sometimes, these states are in different time zones and shifting the demand by one or more hours would result in erroneously excess benefits. Hence, in all such cases, the demand has not been shifted and a pessimistic view has been taken. This analysis uses hourly demand data at the unit level of county or state. Hourly demand from Distribution System Operators (DSO) covers multiple states and is not suitable for this analysis. The aggregate demand data from all utilities used in this analysis was compared with the total hourly demand figures of US 48 states as available from USEIA API. The difference was found to be within 0.06% to 0.35% of total demand of US 48 states. This small difference in demand in utility level data is not expected to cause any change in the configuration of proposed adjustment in time zones for US 48 states. A reduction in the rise or fall of electrical power demand and flattening of electrical load curve shall reduce cycling operation of steam power plants and related carbon emissions. In addition, it shall result in optimized utilization of power plant capacity.
DOI: 10.17632/swvczng8zf.1
title: Profitability for goat business

description: This data set includes the data of selected indicators for findings the profitability of goat business and its associated factors collected through the survey.
DOI: 10.17632/vrpvg9zbhh.1
title: Risk factors for hospitalization and mortality due to dengue fever in Mexican population: a retrospective cohort study.

description: Dataset from the Mexican Health Ministry General Directorate of Epidemiology used for the analysis of the study entitled: Risk factors for hospitalization and mortality due to dengue fever in Mexican population: a retrospective cohort study.
DOI: 10.17632/tyj3c9vwdz.1
title: trade&envpol

description: The dataset includes the environmental policy stringency index and trade flows as well as other determinants of environemntal policy stringency for OECD countries over the period 1990-2015.
DOI: 10.17632/b7w2gkrwwz.1
title: Dataset: Vision and Mission Statements Analysis of 100 Best Global Brands

description: This dataset contains an analysis of the vision and mission statements of 100 Best Global Brands of the year 2020 ranked by Interbrand. The vision and mission statements are analyzed for the desired characteristics and components by employing a content analysis technique. The observations are recorded as binary (1/0), where 1 shows the existence of desired variable in the vision and mission statement and 0 otherwise. The dataset includes a total of 41 variables and 4100 observations.
DOI: 10.17632/c8fzztg59w.4
title: data availability for international journal of environment research for public and health

description: Data are fuel consumption, Municipal Solid Waste production, industrial production, population, Gross Domestic Product, number of motorized vehicles, SOx or SO2 emission factors, and the sulfur content in fuel. These data were gathered from the book of "Jakarta in figure", "Environment Statistics of Indonesia", "Statistical Year of Indonesia", “Energy Information Center Ministry of Energy and Mineral Resources, 2004”, “EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016”, “Handbook of energy & economic statistics of Indonesia”, the decree of general director of oil and gas of the Indonesia Republic, the web site of Downstream Regulatory Agency of Oil and Gas, the web site of Jakarta province official portal, the web site of Central Bureau of Statistics, Fifth edition of AP-42, request results data to the General Directorate of Oil and Gas of Indonesia Republic, request results data to the Jakarta Province's industry and energy department. To predict data from 2018 to 2050, the author uses data or SO2 emission as a function of time, population, or GDP. The author calculated SO2 emission from its source by using equations in the theoretical basic section. By multiplying the rate of activity with factor emission, anyone can get SO2 emission. Here, the activity rate is fuel consumption, and so on.