cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7763330.v5
title: AutoMated tool for Antimicrobial resistance Surveillance System (AMASS)

description: AutoMated tool for Antimicrobial resistance Surveillance System (AMASS) was developed as an offline, open−access and easy−to−use application that allows a hospital to perform data analysis independently and generate isolate−based and sample−based surveillance reports stratified by infection origin from routinely collected electronic databases. The application was built in R, which is a free software environment. The application has been placed within a user−friendly interface that only requires the user to double−click on the application icon. <br>AMASS performs data analysis and generates reports automatically. The raw data files required are hospital admission and microbiology databases. Firstly, the application cleans the microbiology data file and produces isolate−based and sample−based surveillance reports without stratification by infection origin. Secondly, the application then merges the microbiology and hospital admission data files, analyzes the merged data, and produces an isolated−based and sample−based surveillance reports with stratification by infection origin. Finally, the application then perform a statistical analysis to estimate all−cause mortality of patients with AMR infection and mortality attributable to AMR, which are automatically added into the AMR surveillance report.<br>AMASS aims to support the hospitals even those hospitals having only microbiology results. recorded electronica formats. For example, only isolate−based surveillance report without stratification by infection origin will be generated, if only microbiology data file is available and hospital admission data file is not available in the computer.<br> This is the AMASS.zip containing the AMASS application. Further, details on how to use the application can be found in http://mice.tropmedres.ac/home.aspx.
DOI: 10.6084/m9.figshare.13285904
title: Metadata record for: TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data

description: This dataset contains key characteristics about the data described in the Data Descriptor TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.13285904.v1
title: Metadata record for: TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data

description: This dataset contains key characteristics about the data described in the Data Descriptor TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.25919/kjd1-0234
title: Parkes observations for project P455 semester 2020OCTS_01

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Recent results, including the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit, highlight the importance of a long term observational campaign for this remarkable system. The main aims of this proposal are to exploit the high sensitivity of the UWL receiver to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will search for the reappearance of the B pulsar.
DOI: 10.15161/oar.it/73405
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13359476
title: Metadata record for: A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration

description: This dataset contains key characteristics about the data described in the Data Descriptor A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.13359476.v1
title: Metadata record for: A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration

description: This dataset contains key characteristics about the data described in the Data Descriptor A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.13277732
title: Metadata record for: Estimation of waste outflows for multiple product types in China from 2010-2050

description: This dataset contains key characteristics about the data described in the Data Descriptor Estimation of waste outflows for multiple product types in China from 2010-2050. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.13277732.v1
title: Metadata record for: Estimation of waste outflows for multiple product types in China from 2010-2050

description: This dataset contains key characteristics about the data described in the Data Descriptor Estimation of waste outflows for multiple product types in China from 2010-2050. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.15129/856d4919-396e-4dcc-9841-f5ffb778b164
title: Data for: "DC Fault Management Strategy for Continuous Operation of HVDC Grids based on Customized Hybrid MMC"

description: This data set contains six excel files, which were created to investigate and test a DC fault management strategy for HVDC grids integrating customized hybrid modular multilevel converters (CH-MMCs). The data set includes results of converter voltages and currents, converter active and reactive powers, converter arm currents, arm chain-link voltages, arm currents, line voltages and currents under various pole-to-pole and pole-to-ground DC faults
DOI: 10.6084/m9.figshare.13573598
title: Supplementary Material for: Impact of Previous Genetic Counseling and Objective Numeracy on Accurate Interpretation of a Pharmacogenetics Test Report

description: <b><i>Introduction:</i></b> Pharmacogenetic (PGx) testing can be useful for providing information about a patient’s drug response by increasing drug efficacy and decreasing the incidence of adverse drug events. While PGx tests were previously only offered to patients under healthcare provider supervision, they are now available as direct to consumer (DTC) tests. This study aimed to assess how accurately individuals from the general population were able to interpret a sample PGx test report and if accuracy differed based on individuals’ numeracy or prior genetic counseling (GC). <b><i>Methods:</i></b> We surveyed 293 individuals from the general population, ascertained through ResearchMatch. The survey included questions about PGx test interpretation, numeracy, and genetic literacy. <b><i>Results:</i></b> In our cohort, numeracy level impacted PGx result interpretation, with those of high numeracy performing statistically significantly better on both the table format and graphical format (<i>p</i> value = 0.002 and <i>p</i> value &lt;0.001, respectively) and genetic knowledge questions (<i>p</i> value &lt;0.001) than those with low/average numeracy. In addition, previous GC did not impact test interpretation or genetic knowledge, but the number of individuals with prior GC was small (<i>n</i> = 26). <b><i>Discussion/Conclusion:</i></b> We found that numeracy had a significant impact on correct interpretation of PGx test reports. Because many individuals in the USA have low numeracy levels, it is extremely important that patients do not make their own medication management decision based on the test results and that they consult with their physicians about their PGx testing. The importance of consultation and discussion with providers about results should be emphasized on the test report.
DOI: 10.6084/m9.figshare.13573598.v1
title: Supplementary Material for: Impact of Previous Genetic Counseling and Objective Numeracy on Accurate Interpretation of a Pharmacogenetics Test Report

description: <b><i>Introduction:</i></b> Pharmacogenetic (PGx) testing can be useful for providing information about a patient’s drug response by increasing drug efficacy and decreasing the incidence of adverse drug events. While PGx tests were previously only offered to patients under healthcare provider supervision, they are now available as direct to consumer (DTC) tests. This study aimed to assess how accurately individuals from the general population were able to interpret a sample PGx test report and if accuracy differed based on individuals’ numeracy or prior genetic counseling (GC). <b><i>Methods:</i></b> We surveyed 293 individuals from the general population, ascertained through ResearchMatch. The survey included questions about PGx test interpretation, numeracy, and genetic literacy. <b><i>Results:</i></b> In our cohort, numeracy level impacted PGx result interpretation, with those of high numeracy performing statistically significantly better on both the table format and graphical format (<i>p</i> value = 0.002 and <i>p</i> value &lt;0.001, respectively) and genetic knowledge questions (<i>p</i> value &lt;0.001) than those with low/average numeracy. In addition, previous GC did not impact test interpretation or genetic knowledge, but the number of individuals with prior GC was small (<i>n</i> = 26). <b><i>Discussion/Conclusion:</i></b> We found that numeracy had a significant impact on correct interpretation of PGx test reports. Because many individuals in the USA have low numeracy levels, it is extremely important that patients do not make their own medication management decision based on the test results and that they consult with their physicians about their PGx testing. The importance of consultation and discussion with providers about results should be emphasized on the test report.
DOI: 10.5517/ccdc.csd.cc267r4c
title: CCDC 2033232: Experimental Crystal Structure Determination

description: Related Article: Nabeela Kausar, Saeed Ullah, Maria Aqeel Khan, Humaira Zafar, Atia-tul-Wahab, M. Iqbal Choudhary, Sammer Yousuf|2020|Bioorg.Chem.|106|104499|doi:10.1016/j.bioorg.2020.104499
DOI: 10.6084/m9.figshare.13164848
title: Metadata record for: Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes

description: This dataset contains key characteristics about the data described in the Data Descriptor Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.13164848.v1
title: Metadata record for: Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes

description: This dataset contains key characteristics about the data described in the Data Descriptor Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.1285/i22390359v38
title: Uses of English as a Lingua Franca in Domain-specific Contexts of Intercultural Communication

description: This special issue of Lingue e Linguaggi collects the contributions presented at the International Conference Uses of English as a Lingua Franca in Domain-Specific Contexts of Intercultural Communication, which took place at the University of Salento, Italy, in December 2019. The Conference represented the conclusion of a PRIN Project co-funded by the Italian Ministry of University and Research, which started from the assumption that ELF is an area needing a more principled systematic investigation since, so far, it has not been recognized as a use of English that is independent from English as a Native Language. The chapters of this special issue concern ELF variations employed in: (a) institutional, professional, as well as 'undeclared' migration settings (UniSalento Unit); (b) digital media employed for global communication (UniVerona Unit); (c) multicultural and multilingual classrooms characterizing contemporary western societies (UniRoma Tre Unit). The contributions enquire into the ELF uses in domain-specific discourses that demonstrate the extent to which the English language comes to be appropriated by non-native speakers who, indeed, do not experience it as an alien 'foreign' language, but rather as a 'lingua franca' through which they feel free to convey their own native linguacultural and experiential uses and narratives, rhetorical and specialized repertoires and, ultimately, their own socio-cultural identities. The contributors' research has provided evidence in support of an acknowledgement that people from different linguacultural backgrounds appropriate English by making reference to their own different native semantic, syntactic and pragmatic codes through which they convey their own communicative needs.
DOI: 10.5519/qd.brn1ciyy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (768 records)
DOI: 10.17028/rd.lboro.13573595
title: Supplementary Information Files for Covid-19 vaccine hesitancy in the UK: The Oxford Coronavirus explanations, attitudes, and narratives survey (OCEANS) II

description: Supplementary Information Files for Covid-19 vaccine hesitancy in the UK: The Oxford Coronavirus explanations, attitudes, and narratives survey (OCEANS) II<br>Background: Our aim was to estimate provisional willingness to receive a COVID-19 vaccine, identify predictive socio-demographic factors, and, principally, determine potential causes in order to guide information provision. Methods: A non-probability online survey was conducted (24th September-17th October 2020) with 5,114 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. The Oxford COVID-19 Vaccine Hesitancy Scale assessed intent to take an approved vaccine. Structural equation modelling estimated explanatory factor relationships. Results: 71.7% (n=3,667) were willing to be vaccinated, 16.6% (n=849) were very unsure, and 11.7% (n=598) were strongly hesitant. An excellent model fit (RMSEA=0.05/CFI=0.97/TLI=0.97), explaining 86% of variance in hesitancy, was provided by beliefs about the collective importance, efficacy, side effects, and speed of development of a COVID-19 vaccine. A second model, with reasonable fit (RMSEA=0.03/CFI=0.93/TLI=0.92), explaining 32% of variance, highlighted two higher-order explanatory factors: ‘excessive mistrust’ (r=0.51), including conspiracy beliefs, negative views of doctors, and need for chaos, and ‘positive healthcare experiences’ (r=-0.48), including supportive doctor interactions and good NHS care. Hesitancy was associated with younger age, female gender, lower income, and ethnicity, but socio-demographic information explained little variance (9.8%). Hesitancy was associated with lower adherence to social distancing guidelines. Conclusions: COVID-19 vaccine hesitancy is relatively evenly spread across the population. Willingness to take a vaccine is closely bound to recognition of the collective importance. Vaccine public information that highlights prosocial benefits may be especially effective. Factors such as conspiracy beliefs that foster mistrust and erode social cohesion will lower vaccine up-take.
DOI: 10.17028/rd.lboro.13573595.v1
title: Supplementary Information Files for Covid-19 vaccine hesitancy in the UK: The Oxford Coronavirus explanations, attitudes, and narratives survey (OCEANS) II

description: Supplementary Information Files for Covid-19 vaccine hesitancy in the UK: The Oxford Coronavirus explanations, attitudes, and narratives survey (OCEANS) II<br>Background: Our aim was to estimate provisional willingness to receive a COVID-19 vaccine, identify predictive socio-demographic factors, and, principally, determine potential causes in order to guide information provision. Methods: A non-probability online survey was conducted (24th September-17th October 2020) with 5,114 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. The Oxford COVID-19 Vaccine Hesitancy Scale assessed intent to take an approved vaccine. Structural equation modelling estimated explanatory factor relationships. Results: 71.7% (n=3,667) were willing to be vaccinated, 16.6% (n=849) were very unsure, and 11.7% (n=598) were strongly hesitant. An excellent model fit (RMSEA=0.05/CFI=0.97/TLI=0.97), explaining 86% of variance in hesitancy, was provided by beliefs about the collective importance, efficacy, side effects, and speed of development of a COVID-19 vaccine. A second model, with reasonable fit (RMSEA=0.03/CFI=0.93/TLI=0.92), explaining 32% of variance, highlighted two higher-order explanatory factors: ‘excessive mistrust’ (r=0.51), including conspiracy beliefs, negative views of doctors, and need for chaos, and ‘positive healthcare experiences’ (r=-0.48), including supportive doctor interactions and good NHS care. Hesitancy was associated with younger age, female gender, lower income, and ethnicity, but socio-demographic information explained little variance (9.8%). Hesitancy was associated with lower adherence to social distancing guidelines. Conclusions: COVID-19 vaccine hesitancy is relatively evenly spread across the population. Willingness to take a vaccine is closely bound to recognition of the collective importance. Vaccine public information that highlights prosocial benefits may be especially effective. Factors such as conspiracy beliefs that foster mistrust and erode social cohesion will lower vaccine up-take.
DOI: 10.6084/m9.figshare.13568204
title: Effects of Organisational Culture on Cybersecurity Survey (Responses).xlsx

description: The data set contains responses to an online survey carried out to asses the effect of organisational culture on information security behaviour of employees. The survey had three sections, the first was collecting the demographic data of the respondent, the second section had questions that would classify the type of organisational culture the respondent belonged to. The respondents would be classified into four classes which are clan, adhocracy, market and hierarchy. The final section classified the respondent into three classes of information security behaviours namely, risk averse, risk inclined and naive behaviours.
DOI: 10.6084/m9.figshare.13573763
title: R code for publication on substance use during first COVID

description: ## Project: Alcohol and COVID-19 in Europe<br>## Title: Use of alcohol, tobacco, cannabis, and other substances during the first wave of the SARS-CoV-2 pandemic in Europe: A survey on 36,000 European substance users<br>## Author: Jakob Manthey & Sinclair Carr<br><br>Analysing survey data to describe changes in substance use during the first wave of the COVID-19 pandemic.<br>
DOI: 10.6084/m9.figshare.13573763.v1
title: R code for publication on substance use during first COVID

description: ## Project: Alcohol and COVID-19 in Europe<br>## Title: Use of alcohol, tobacco, cannabis, and other substances during the first wave of the SARS-CoV-2 pandemic in Europe: A survey on 36,000 European substance users<br>## Author: Jakob Manthey & Sinclair Carr<br><br>Analysing survey data to describe changes in substance use during the first wave of the COVID-19 pandemic.<br>
DOI: 10.25405/data.ncl.13160147
title: Faecal pollution source tracking in the holy Bagmati River by portable 16S rRNA gene sequencing

description: The excel spread sheet, named "<b>Combined_Genus_OTUTableRoot_complete_bagmati_data_final</b>" is the processed MinION 16S rRNA sequencing data of water samples from Bagmati River (Kathmandu, Nepal) in the form of OTU table. The water from the Bagmati River were sampled from different locations in three different time points. All other excel spread sheets are metadata that were used for multivariate analysis in this study.
DOI: 10.25405/data.ncl.13160147.v1
title: Faecal pollution source tracking in the holy Bagmati River by portable 16S rRNA gene sequencing

description: The excel spread sheet, named "<b>Combined_Genus_OTUTableRoot_complete_bagmati_data_final</b>" is the processed MinION 16S rRNA sequencing data of water samples from Bagmati River (Kathmandu, Nepal) in the form of OTU table. The water from the Bagmati River were sampled from different locations in three different time points. All other excel spread sheets are metadata that were used for multivariate analysis in this study.
DOI: 10.5281/zenodo.4044636
title: ManyTypes4Py: A benchmark Python Dataset for Machine Learning-Based Type Inference

description: Check out the file <strong>ManyTypes4PyDataset.spec </strong>for repositories URL and their commit SHA. The dataset is gathered on Sep. 17th 2020. The dataset has more 5.4K Python repositories that are hosted on GitHub. It contains more than 1.1M type annotations. Please note that this is the first version of the dataset. In the second version, we will provide processed Python projects in JSON files that contain relevant features and hints for ML-based type inference task.
DOI: 10.18112/openneuro.ds003470.v1.0.0
title: MRI Lab Graz: Target processing in overt serial visual search involves the dorsal attention network: A fixation-based event-related fMRI study.