cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3721407
title: Number of cases of coronavirus disease (COVID-19) in Ireland

description: Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, hospitalisations, ICU admissions, deaths, number of healthcare workers, number of clusters, gender of cases, age groups of cases, mode of transmission, age groups of those hospitalised, and cases per county. To aid standardisation of age groups and cases per county, the population estimates by age group for 2019 and the actual county population in the 2016 Census from Ireland's Central Statistics Office are also included as separate datasets, to allow expression of cases per million population. These are <em>doh_covid_ie_cases_analysis.csv</em>, where data from Ireland's Health Protection Surveillance Centre is included up to midnight on each included date (currently up to 16-Jun-2020). <em>age_population_cso_2019.csv</em> <em>counties_population_cso_2016.csv</em> <em>age_population_cso_2019.csv </em>has been updated to include separate population estimates for those aged 65-74 years, 75-84 years, and 85 years and over. This is in response to the HSPC releasing case and hospitalisation data for these groups rather than a combined 65 years and over group. <em>counties_population_cso_2016.csv </em>has been updated to remove trailing spaces in the 'county' column. <em>doh_covid_ie_cases_analysis.csv </em>is regularly updated at https://github.com/frankmoriarty/covid_ie/blob/master/doh_covid_ie_cases_analysis.csv
DOI: 10.5281/zenodo.3895791
title: Number of cases of coronavirus disease (COVID-19) in Ireland

description: Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, hospitalisations, ICU admissions, deaths, number of healthcare workers, number of clusters, gender of cases, age groups of cases, mode of transmission, age groups of those hospitalised, and cases per county. To aid standardisation of age groups and cases per county, the population estimates by age group for 2019 and the actual county population in the 2016 Census from Ireland's Central Statistics Office are also included as separate datasets, to allow expression of cases per million population. These are <em>doh_covid_ie_cases_analysis.csv</em>, where data from Ireland's Health Protection Surveillance Centre is included up to midnight on each included date (currently up to 12-Jun-2020). <em>age_population_cso_2019.csv</em> <em>counties_population_cso_2016.csv</em> <em>age_population_cso_2019.csv </em>has been updated to include separate population estimates for those aged 65-74 years, 75-84 years, and 85 years and over. This is in response to the HSPC releasing case and hospitalisation data for these groups rather than a combined 65 years and over group. <em>counties_population_cso_2016.csv </em>has been updated to remove trailing spaces in the 'county' column. <em>doh_covid_ie_cases_analysis.csv </em>is regularly updated at https://github.com/frankmoriarty/covid_ie/blob/master/doh_covid_ie_cases_analysis.csv
DOI: 10.22008/fk2/lxah5p/fgmcce
title: QAS_M_day_v03.txt

description: Daily data files
DOI: 10.5519/qd.b9gip62g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (68 records)
DOI: 10.5258/soton/d1428
title: Wet globe bulb data sets for thesis 'Sustainability benefits of energy behaviour change in a NHS Trust'

description: Data sets gathered over a nine month period from the wet globe bulb located in three older persons' acute care wards of the NHS community hospital participating in the research project entitled 'Sustainability benefits of energy behaviour change in a NHS Trust'.
DOI: 10.5258/soton/d1429
title: Wet globe bulb data sets for thesis 'Sustainability benefits of energy behaviour change in a NHS Trust'

description: Data sets gathered over a nine month period from the wet globe bulb located in three older persons' acute care wards of the NHS community hospital participating in the research project entitled 'Sustainability benefits of energy behaviour change in a NHS Trust'.
DOI: 10.5258/soton/d1430
title: Energy demand data sets for thesis 'Sustainability benefits of energy behaviour change in a NHS Trust'

description: Data sets gathered over a nine month period from the energy loggers located on the small power and lighting electrical distribution boards in three older persons' acute care wards of the NHS community hospital participating in the research project entitled 'Sustainability benefits of energy behaviour change in a NHS Trust'.
DOI: 10.5281/zenodo.3891033
title: IReL Survey Data: Article Processing Charges

description: This is the raw data from a survey carried out from 16 October to 13 December 2019 and distributed to researchers, staff and students at the nine IReL member institutions: Dublin City University, Maynooth University, National University of Ireland Galway, Royal College of Surgeons in Ireland, Trinity College Dublin, Technological University Dublin, University College Cork, University College Dublin and University of Limerick. Responses were anonymised at point of capture and participants were informed that "Anonymised data will be incorporated into IReL reporting for future strategic planning and may also feed into future reporting and publications on IReL activities to illustrate issues and points." Records 1, 2, and 170 were removed by request, originating from institutional testing. The preprint analysis of this survey data is available at 10.5281/zenodo.3891073.
DOI: 10.5281/zenodo.3891032
title: IReL Survey Data: Article Processing Charges

description: This is the raw data from a survey carried out from 16 October to 13 December 2019 and distributed to researchers, staff and students at the nine IReL member institutions: Dublin City University, Maynooth University, National University of Ireland Galway, Royal College of Surgeons in Ireland, Trinity College Dublin, Technological University Dublin, University College Cork, University College Dublin and University of Limerick. Responses were anonymised at point of capture and participants were informed that "Anonymised data will be incorporated into IReL reporting for future strategic planning and may also feed into future reporting and publications on IReL activities to illustrate issues and points." Records 1, 2, and 170 were removed by request, originating from institutional testing. The preprint analysis of this survey data is available at 10.5281/zenodo.3891073.
DOI: 10.5519/qd.4re39css
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5287/bodleian:w4rd6d2d6
title: Metabolomics of 2-OG treated LN18 IDH1 mutant and wild-type cells
DOI: 10.25592/uhhfdm.646
title: 3D-Model of a plaster cast of Kasseler Apoll

description: 3D-Model of a plaster cast of Kasseler Apoll https://www.fundus.uni-hamburg.de/de/collection_records/63519 Gipsabguss-Sammlung des Archäologischen Instituts der Universität Hamburg Inv.: 26 ID: 25 Forming shop : Molding at Berlin, State museums in Charlottenburg Dimensions: hight: 200,0 cm / With: 81 cm / Depth: 41 cm Date: Greek original: around 450 B.C.; roman copy: around 100-130 A.D. Scenary: This 3D scan was made possible within the framework of the Hamburg Open Science programme by funding from the Ministry of Science, Research and Equality of the Free and Hanseatic City of Hamburg.
DOI: 10.25592/uhhfdm.645
title: 3D-Model of a plaster cast of Kasseler Apoll

description: 3D-Model of a plaster cast of Kasseler Apoll https://www.fundus.uni-hamburg.de/de/collection_records/63519 Gipsabguss-Sammlung des Archäologischen Instituts der Universität Hamburg Inv.: 26 ID: 25 Forming shop : Molding at Berlin, State museums in Charlottenburg Dimensions: hight: 200,0 cm / With: 81 cm / Depth: 41 cm Date: Greek original: around 450 B.C.; roman copy: around 100-130 A.D. Scenary: This 3D scan was made possible within the framework of the Hamburg Open Science programme by funding from the Ministry of Science, Research and Equality of the Free and Hanseatic City of Hamburg.
DOI: 10.21227/qmx7-gv49
title: Losslessly Compressed Ligh Field Datasets

description: This dataset is accompanying the manuscript “Lossless Compression of Plenoptic Camera Sensor Images and of Light Field View Arrays” by Ioan Tabus and Emanuele Palma, submitted to IEEE Access in June 2020. It contains the archives and the programs for reconstructing the light field datasets publicly used in two major challenges for light field compression.
DOI: 10.21227/7myc-z942
title: Losslessly Compressed Ligh Field Datasets

description: This dataset is accompanying the manuscript “Lossless Compression of Plenoptic Camera Sensor Images and of Light Field View Arrays” by Ioan Tabus and Emanuele Palma, submitted to IEEE Access in June 2020. It contains the archives and the programs for reconstructing the light field datasets publicly used in two major challenges for light field compression.
DOI: 10.21227/a7e6-1v27
title: Losslessly Compressed Ligh Field Datasets

description: This dataset is accompanying the manuscript “Lossless Compression of Plenoptic Camera Sensor Images and of Light Field View Arrays” by Ioan Tabus and Emanuele Palma, submitted to IEEE Access in June 2020. It contains the archives and the programs for reconstructing the light field datasets publicly used in two major challenges for light field compression.
DOI: 10.17632/b2t8w6vm5y.1
title: result questionnare

description: data result in questionnaire research of the title Mediating effect of customer perceived value on experience quality and customer loyalty relationship in natural outdoor cafe Indonesia
DOI: 10.17632/rgctdkjyzx.2
title: PRMT1 is critical for the transcriptional activity and the stability of the progesterone receptor. Malbeteau et al

description: The progesterone receptor (PR) is an inducible transcription factor that plays critical roles in female reproductive processes and in several aspects of breast cancer tumorigenesis. Our report describes the type I protein arginine methyltransferase 1 (PRMT1) as a cofactor controlling progesterone pathway, through the direct methylation of PR. Mechanistic assays in breast cancer cells indicate that PRMT1 methylates PR at the arginine 637 and reduces the stability of the receptor, thereby accelerating its recycling and finally its transcriptional activity. Depletion of PRMT1 decreases the expression of a subset of progesterone-inducible genes, controlling breast cancer cells proliferation and migration. Consistently, Kaplan–Meier analysis revealed that low expression of PRMT1 predicts a longer survival among the subgroup with high PR. Our study highlights PR methylation as a molecular switch adapting the transcription requirement of breast cells during tumorigenesis.
DOI: 10.17632/gkg6wjp844.2
title: Build instructions and design files for 'An affordable and miniature ice coring drill for rapid acquisition of small iceberg samples'

description: This dataset provides all the design files necessary to replicate the iceberg coring drill. Please refer to the manuscript published in HardwareX - https://www.sciencedirect.com/science/article/pii/S2468067220300109 Please also refer to the instructions in the file 'build_instructions.pdf' The 3D printed parts are printed in nylon using selective laser sintering (SLS). SLS 3D printing is not required, however, and 3D printed parts can also be printed using more traditional 3D printers and filaments (e.g., PLA, PETG, or ABS). The design files include .STL and .STEP files for the 3D printed and machined parts, respectively. There are no metal alloy requirements for the machined parts. The 3D printed parts were constructed using SLS nylon, though they can also be constructed using PLA, PETG, and/or ABS, and the metal parts are machined using aluminium, stainless steel, spring steel, and knife steel, as indicated in the bill of materials table.
DOI: 10.17632/dk9mctbhdy.1
title: The Data Analysis item Screening of patient report outcome measurement scale in idiopathic pulmonary fibrosis

description: In order to develop the PRO scale for IPF patients with Chinese characteristics, Delphi expert consultation method and IPF patients clinical questionnaire survey method will be used to screen the items of the scale. This data is the relevant data obtained from the expert importance scoring and effective clinical questionnaire. The items collected in the early stage are made into an expert consultation questionnaire, and each expert independently scores the importance of the items in the questionnaire. The critical value is determined by the average value and standard deviation of the three indexes: The average value, Coefficient of variation and unimportant percentage of each item. Deletion criteria include items with average value less than critical value, items with coefficient of variation greater than critical value, and items with unimportant percentage greater than critical value. Items meeting the above two or more deletion criteria will be deleted. The primary scale formed after expert consultation and statistics will be made into a clinical questionnaire and distributed to IPF patients. The questions of each item are mostly expressed in frequency or degree. Using Likert 5-grade scoring method, the choice grade is from light to heavy, and 1-5 points are calculated in turn. The recovered effective questionnaires will be analyzed by six statistical methods: item distribution survey method, discrete trend method, Cronbach coefficient method, correlation coefficient method, factor analysis method and multivariate linear regression analysis method, and items that met three or more deletion criteria in the six screening methods will be intended to be deleted.
DOI: 10.17632/jk7vjgjz6y.2
title: A gamification based- approach on indoor wayfinding research

description: The 'indoor_Navigation_Simulator' dataset contains all information regarding the research executed by Dries De Leeuw, Laure De Cock and Philippe De Maeyer. Abstract: Indoor environments can be very complex. Due to the challenges in these environments in combination with the absence of mobile wayfinding aids, a great need exists for innovative research on indoor wayfinding. In this explorative study, a game is developed in Unity to investigate whether the concept of gamification could be used in studies on indoor wayfinding so as to provide useful information regarding the link between wayfinding performance, personal characteristics and building layout. Results show a significant difference between gamers and non-gamers as the complexity of the player movement has an important impact on the navigation velocity in the game. However, further analysis reveals that the architectural layout also has an impact on the navigation velocity and that wrong turns in the game are influenced by the landmarks at the decision points: navigating at deeper decision points in convex spaces is slower and landmarks of the categories ‘pictograms’ and ‘infrastructural’ were more effective in this particular building. Therefore, this explorative study, which provides an approach for the use of gamification in indoor wayfinding research, has shown that serious games could be successfully used as a medium for data acquisition related to indoor wayfinding in a virtual environment. Keywords: gamification; indoor wayfinding; landmarks; space syntax; Unity As for our hypothesis and statistical analysis we would like to refer to our article. Following information is important to interpret our dataset: - Player_ID = ID which is given to each participant after registration to our game. - Level = Our game contains three different levels. - DP = each level contains a number of decision points. - Time = time needed to navigate past a specific decision point. - Distance = distance covered to navigate past a specific decision point. - MVD = mean visual depth values related to space syntax measurements. - DP_Group = categorization based on topology of decision point (1 = Single-turn; 2 = Multiple-turn; 3 = Startend). - DP_Group1 = categorization based on required navigation action (1 = Straightforward; 2 = Turn left; 3 = Turn right). - LM_Group = landmark categorization (0 = No Landmark; 1 = Infrastructural; 2 = Pictograms; 3 = Decorations; 4 = Objects; 5 = Furniture). - Player_Group = categorization of the player according to personal information. - Unique_ID = ID so as to distinguish each decision point separately. - Wrong_turn = indicates if the participant made a wrong turn at a specific decision point (0 = no; 1 = yes). Important to note is that this data is not normally distributed and thus non-parametric test have to be used (for example Mann-Whitney U-test). In addition, the 'Learning_Effect' file represents data on the participants that played the game two times.
DOI: 10.17632/h5s2g3wpch.1
title: Bifidobacterium, Lactobacillus, and Streptococcus

description: To explore the effect of the combination of living Bifidobacterium, Lactobacillus, and Streptococcus (CLB) on anxiety- and depression-like behaviours and social rank, mice were subjected to a social dominance tube test (SDTT).
DOI: 10.17632/zz72fskgzk.2
title: Prediction the number of asymptomatic and symptomatic cases of COVID-19 based on BPNN model

description: The Real data sets provided by the Health Commission of 31 provinces of China, Johns Hopkins University, and Baidu Migration to track all movements of Chinese people and government emergency measures.
DOI: 10.17632/t6cx4j63pf.6
title: Supplementary material for book chapter: Machine Learning-based AI in novel image data processing for hybrid cardiovascular imaging

description: This dataset contains digital material accompanying the book chapter about machine learning-based AI in novel image data processing for hybrid cardiovascular imaging
DOI: 10.17632/my2vkfyffd.2
title: TRACT: Tweets Reporting Abuse Classification Task Corpus

description: Out of many social media sites, Twitter has some unique characteristics which attract diverse categories of people. Twitter has been utilized as an important source of user-generated data that can provide unique insights into population. Many of these studies involve retrieving tweets for sentiment analysis, named entity recognition and disambiguation tasks. In recent decades we have noticed a considerable increase in reports or confession posts of abuse victims on twitter. Most of the time victims do not report it to their guardians or the concerned authorities. Part of these victims tweets about their incident to let go of pain and suffering or as a cry for help. Identifying such reports is challenging, to address such an important task we develop and release a first small-scaled corpus on Tweet Reportings (TRACT). To retrieve the small number of tweets that mention reporting of abuse we mined from millions of tweets in our database, The approach relies on a lexicon and lexical variants from a set of lexicon entries manually collected after extensive research. Tweets containing these lexicons and tweets containing lexicons similar to these lexicons are extracted.
DOI: 10.17632/9jzf6vk3p7.1
title: Source data file of manuscript "Active lysogeny in Listeria monocytogenes – a bacteria-phage adaptive response in the mammalian environment"

description: Source file including raw experimental data related to manuscript "Active lysogeny in Listeria monocytogenes – a bacteria-phage adaptive response in the mammalian environment" by Pasechnek et al. Cell Reports, 2020.
DOI: 10.17632/vkyjyvdrjp.1
title: The impact of body diversity vs thin-idealistic media messaging on health outcomes: an experimental study

description: Research hypotheses: It was hypothesised that exposure to the body diversity intervention video would increase body satisfaction and body compassion, and decrease behavioural intentions, the internalisation of the thin-ideal and weight bias; and that exposure to the thin-ideal intervention would decrease body satisfaction and body compassion, and increase behavioural intentions, the internalisation of the thin-ideal and weight bias. Notable findings: - Those exposed to the body diversity intervention reported a greater reduction in weight bias compared to the other conditions. - Those exposed to the thin-ideal intervention reported a greater increase in intentions to eat healthily compared to the other conditions. - There were no differences between groups for body satisfaction, body compassion, internalisation of the thin-ideal and behavioural intentions to exercise and manage weight. How was data collected: Data was collected online via Qualtrics. Variables used in analysis: Intervention group - body diversity (1), thin-ideal (2), control (3) Media literacy (total) - measured only at baseline as a covariate Outcome variables: Body Compassion (total) - baseline + post-intervention Body Satisfaction (total) - baseline + post-intervention Internalisation of the thin-ideal (total) - baseline + post-intervention Weight bias (total) - baseline + post-intervention Behavioural intentions (sub-scale totals for healthy eating, exercise, weight management) - baseline + post-intervention.