cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7617323.v1
title: Additional file 8: of Transcriptionally induced enhancers in the macrophage immune response to Mycobacterium tuberculosis infection

description: Table S4. A full list of non-macrophage mouse samples split by tissue. Tissues with at least ten samples were considered separately, the rest of the samples were combined together into an â Othersâ category. (XLSX 32 kb)
DOI: 10.22023/mdx.6169532.v1
title: Katagami in the Art School: Practitioners’ Panel One: Katagami in Japonisme - Katagami Research and History slides for presentation by Mamiko Markham.pdf

description: Katagami in
Japonisme – Katagami
Research and History and the bi-directional
influences on Katagami pattern design. Research considers  Katagami merchant locations during 1753-1852 and stamps found in the Silver Studio collection
DOI: 10.22023/mdx.6169535.v1
title: Katagami in the Art School: Practitioners’ Panel One: Katagami in Japonisme - Katagami Research and History notes for presentation by Mamiko Markham.pdf

description: Katagami in
Japonisme – Katagami
Research and History and the bi-directional
influences on Katagami pattern design.
DOI: 10.17862/cranfield.rd.6181721.v1
title: The Impact! Game - cards

description: Question cards used in the Impact! Game created by Cranfield University Library Services in 2017-18.<br><br>Feedback or suggestions welcome to g.l.parsons@cranfield.ac.uk or e.turner@cranfield.ac.uk.<br>
DOI: 10.22023/mdx.6181784
title: Katagami in the Art School: Practitioners’ Panel Two COLLINGE_2018 presentation.pptx

description: Slides for Katagami in theArt School: Practitioners’ Panel Two presentation given by Caroline Collinge on 10th April 2018. The presentation explores the design, inspiration and process that went into making Caroline's costume, and the filming of the costumed performance.
DOI: 10.22023/mdx.6181784.v1
title: Katagami in the Art School: Practitioners’ Panel Two COLLINGE_2018 presentation.pptx

description: Slides for Katagami in theArt School: Practitioners’ Panel Two presentation given by Caroline Collinge on 10th April 2018. The presentation explores the design, inspiration and process that went into making Caroline's costume, and the filming of the costumed performance.
DOI: 10.25387/g3.6133946
title: Supplemental Material for Xu et al., 2018

description: Figure S1. Pairwise allignments of the genome presented in this study; G6_2 compared against a) 949_S8; b) ATCC12228; c) BPH 0662; d) PM221, e) RP62A and e) SEITABLE S1: ASSEMBLY METRICS (GENERATED USING WEB QUAST), ALL STATISTICS ARE BASED ON CONTIGS OF SIZE &gt;= 500 BPTABLE S2: SIMILARITY MATRIX FOR EACH STRAIN IN THIS STUDY, G6 2 AND REFERENCE STRAINS<br>
DOI: 10.17862/cranfield.rd.5849985.v1
title: Data Statement.xlsx

description: Data for "residual stress and texture control in Ti-6Al-4V wire + arc additively manufactured intersections by stress relief and rolling"
DOI: 10.17862/cranfield.rd.5849985.v2
title: Data for the paper "residual stress and texture control in Ti-6Al-4V wire + arc additively manufactured intersections by stress relief and rolling"

description: Data supporting the paper: "residual stress and texture control in Ti-6Al-4V wire + arc additively manufactured intersections by stress relief and rolling".
DOI: 10.6084/m9.figshare.6222053
title: Blender SI Movie 3: animation of an incorrect model of the grazing gait. from The grazing gait, and implications of toppling table geometry for primate footfall sequences

description: A version of SI Movie 3 created in Blender and playable in a web browser. Swing legs (pale grey) move forwards in an arbitrary but relatively quick manner. Legs in contact with the ground but not supporting weight are shown in dark grey.
DOI: 10.18743/data.00054
title: Data Files for the Mapping Museums Report, March 2020

description: This archive is part of Mapping Museums project (mappingmuseums.org). The Mapping Museums research project began in October 2016 and will conclude in September 2020. It is based at Birkbeck, University of London and is funded by the Arts and Humanities Research Council. The project focuses on growth and change in the UK museum sector from 1960 to 2020 and it has four main outputs: - A database containing information on over 4,000 museums. This data can be browsed, searched, and visualised through a web application, and is free to use under the terms of the Creative Commons (BY) license. - A website that houses the database and web application, and additional resources linked to the project. These include a glossary, detailed information on research methods, transcripts of interviews with museum founders, films and podcasts, and links to the project publications. - A series of academic articles addressing research methods and findings. - A monograph that draws on data, interviews with museum founders, and historical research, to analyse how and why so many new museums were established in the late twentieth century. Publication is planned for 2021. Report reference: Fiona Candlin, Jamie Larkin, Andrea Ballatore, Alexandra Poulovassilis (2020) Mapping Museums 1960–2020: A report on the data. London: Birkbeck, University of London.
description: The project’s research team has gathered, cleansed, and codified data relating to over 4000 UK museum. It covers the period from 1960 to date. Primary sources include: - Arts Council England list of accredited museum, 2017 - Association of Independent Museums members list, 2016 - Association of Independent Museums members list, 1982 - Association of Independent Museums non-members list, 1982 - AMOT Guide to Military Museums in the UK, 2010/2011 - Digest of Museum Statistics, 1998 - Historic Houses Association Friends Pocket Guide, 2016 - Historic Houses & Castles in Great Britain and Northern Ireland, London: Index Publishers 1959 - Kenneth Hudson and Ann Nicholls, The Directory of Museums and Living Displays, London: Macmillan 1985 - Micromuseums Archive, Bishopsgate Institute, London - Museum and Libraries Division, Wales. Raw data from ‘Spotlight’ reports, 2002, and published data 2007, 2013, 2015 - Museums and Galleries Scotland museums list, 2016 - Northern Ireland Museums Council, museum list, 2012, 2016 - Museum Association ‘Find a Museum’ website, 2017 - Museums Association’s Museums Calendar, 1970 - Scottish Museums Council, A Collective Insight: Scotland’s National Audit; full findings report, 2002. - Standing Commission on Museums and Galleries, Survey of Provincial Museums, 1963 - Wikipedia lists of museum by country/county See data collection description at http://museweb.dcs.bbk.ac.uk/sources for more details.
DOI: 10.17632/c52km273vv.1
title: Rubisco compartment model

description: COPASI model file
DOI: 10.17632/nvy6hpy5nk.2
title: Older U.S. Adult Physical Activity

description: To understand the effects of barriers and facilitators of physical activity (PA) in older adults, U.S. participants (N = 667, age range 65-92) were surveyed using online research panels. The importance of fear of falling (FoF) was investigated among other previously identified determinants of PA behaviour. We hypothesised gender and health status to be linked to both threat appraisal (perceived vulnerability and severity) and coping appraisal (self-efficacy and response efficacy) constructs of Protection Motivation Theory. In turn, we expected those components to predict FoF, autonomous motivation, and the intention to be physically active. Further, we expected the latter to be a direct predictor of a change in PA behaviour, with the other constructs being indirect predictors of behaviour. Of the present sample, 19.3% indicated high FoF. Higher perceived vulnerability to falling was related to higher FoF and more perceived severity as well as worse physical health, PA-related self-efficacy, and lower PA-related response efficacy. Further, coping appraisal, intention, and PA behaviour significantly correlated with autonomous motivation to engage in PA. Using structural equation modelling, we found that self-efficacy and response efficacy have a stronger predictive role in older adults’ intention than FoF. The following measures were utilised: • Physical activity - Physical Activity Scale for the Elderly (PASE; Washburn et al., 1993). • Intention - ‘It is likely that I will be regularly physically active.’, ‘I intend to be regularly physically active.’, and ‘I expect to be regularly physically active.’ (Ajzen, 1991; Arnautovska et al., 2017). • Autonomous Motivation - Self-Regulation Questionnaire (Ryan & Connell, 1989). Results were scored in accordance with the Relative Autonomy Index (RAI). • Fear of Falling - Short Falls Efficacy Scale – International (FES-Ia) was used (Kempen et al., 2007). Full scores were utilised in addition to three distinct FoF groups based on cut-off points by Delbaere et al. (2010). • Perceived Severity - ‘Experiencing a fall would be a very bad thing to happen to me’, adapted from Plotnikoff and Higginbotham (2002). • Perceived Vulnerability - ‘My chances of falling are small’, adapted from Plotnikoff and Higginbotham (2002). • Self-Efficacy - Nine items with an 11-point Likert-type rating scale based on Resnick et al. (2000). • Response Efficacy - Four items adapted for falling from Plotnikoff and Higginbotham (2002). • Physical Health Status: Physical Component Summary scale (PCS) of the 12-item Short Form Health Survey (Ware et al., 1996).
DOI: 10.17632/54kbz5ykcn.1
title: Tissue structure contributes to the production of a colored skin display in the Common Myna
DOI: 10.25386/genetics.6111068
title: Supplemental Material for Xiang et al., 2018

description: <pre>The file contains estimated variance components (Table S1), Bivariate plots between additive and dominance QTL effects (Figure S1 and S2), and parameter files for generating simulated dataset (S4 and S5)</pre>
DOI: 10.25386/genetics.6111068.v1
title: Supplemental Material for Xiang et al., 2018

description: <pre>The file contains estimated variance components (Table S1), Bivariate plots between additive and dominance QTL effects (Figure S1 and S2), and parameter files for generating simulated dataset (S4 and S5)</pre>
DOI: 10.25387/g3.12649700
title: Supplemental Material for Husain et al., 2020

description: S1 Table: Differentially expressed GCNs separated based on the five clusters. S2 Table: Functional enrichment analysis of all five cerebellar clusters. S3 Table: Subset of cerebellar associated GRN included 636 nodes connected via 1,146 edges. S4 Table: Functional enrichment output for WGCNA_GCN and KINC_GCN.
DOI: 10.25387/g3.12649700.v1
title: Supplemental Material for Husain et al., 2020

description: S1 Table: Differentially expressed GCNs separated based on the five clusters. S2 Table: Functional enrichment analysis of all five cerebellar clusters. S3 Table: Subset of cerebellar associated GRN included 636 nodes connected via 1,146 edges. S4 Table: Functional enrichment output for WGCNA_GCN and KINC_GCN.
DOI: 10.25387/g3.6241928
title: Supplemental Material for Legarra, Ricard, and Varona, 2018

description: Data set: 630 horses genotyped for 41711 polymorphic SNPs for the trait “outcome of the qualification test” . Associated with publication "GWAS by GBLUP: single and multimarker EMMAX and Bayes Factors, with an example in detection of a major gene for horse gait"
DOI: 10.17632/g6fxrbw423.1
title: Gadolinium mobility in sediments: Environmental risk assessment

description: Gadolinium complexes has been widely applied as a contrast in medical magnetic resonance imaging, placing the ion under the target of emerging contaminants. Little is known about mobility and effects of Gd3+, and concentration anomalies have been reported for freshwater, indicating inefficiency of the sewage treat- ment system for removal. Hence, herein sorption and desorption of Gd3+ on riverbank and river bottom sediment samples from Southern Brazilian catch- ment were evaluated to state the ion environmental mobility and risk assessment. The samples showed a high maximum sorption capacity (25.27, 33.94, 17.67 and 12.75 meq kg −1 for SL1, SD1, SL2 and SD2, respectively), while there was a trend of mobilization of the contaminant into the liquid phase, especially for sandy samples. Mobilization factors ranged from 12.43 to 48.41%. Although there is a tendency of gadolinium to retain in riverbank and sediment, there is also a high tendency of mobilization to another environmental compartment, showing the importance of this kind of evaluation for further monitoring and remediation of environmental gadolinium contamination. Keywords: ion mobility, sorption, desorption, contamination risk, rare-earth element
DOI: 10.17632/nfshrp48ds.1
title: Analysis of psoriasis-related posts on Twitter: an abundance of patient-driven advocacy versus a scarcity of dermatologists

description: Supplemental Figures
DOI: 10.17632/kjs2wnncjs.1
title: "Virus-host interactome and proteomic survey of PBMCs from COVID-19 patients reveal potential virulence factors influencing SARS-CoV-2 pathogenesis" by Li et al.

description: Supplementary Table S1-S4 for the paper entitled "Virus-host interactome and proteomic survey of PBMCs from COVID-19 patients reveal potential virulence factors influencing SARS-CoV-2 pathogenesis".
DOI: 10.17632/y3jkjj9yzz.2
title: 2019 NYC Blackout tweets sentiment data

description: The dataset records the real-time sentiment records based on tweets data for 2019 Manhattan blackout, which occurred on July 13, 2019, at approximately 6:47 pm (EST). Twitter Standard Search API was utilized with key search terms “power outage,” “blackout,” and “power cut” to search against related tweets. The original data were stored in JavaScript Object Notation (.json) files, which were converted to Excel (.xlsx) files for subsequent processing. Location-related terms including “New York,” “NY,” “NYC,” “Manhattan,” and “Time Square” were used for filtering and cleaning work. The final dataset is saved as .xlsx format and includes 189,709 records with the ETC timeline from 6:47 pm on July 13 to 8:00 pm on July 15. Due to the Twitter Developer Policy, https://developer.twitter.com/en/developer-terms/agreement-and-policy#id34, user information (screen name, verified, descriptions, user-input location, favorites, and followers, etc.) or messages are not allowed to distribute. In the validation process, some tweets were found to be incorrectly classified by the Watson NLP API. To further improve the accuracy of sentiment extraction, those tweets appeared in our n=410 validation set that were incorrectly classified by the API were adjusted based on our manual labels. We attach the sentiment results for the sole purpose of validation of our research results. The full library of word patterns used in this research is also attached. This file exhibits the lists of word patterns that we input into python to classify the tweets into different categories of identified behavioral responses.
DOI: 10.17632/28r5bwb6pn.1
title: NGAL and UACR in DN

description: The collation of urinary biomarkers in improving the diagnosis of diabetic nephropathy
DOI: 10.17632/59wh7tscz3.1
title: Trilingual Versions of Hill-Bone Compliance to High Blood Pressure (9-Items) in Divergent Ethnic Groups of Older Adults in Iran

description: Objectives: the HBC-HBP Scale as a common scale for measuring adherence with hypertension, has never been tested in Iran. Methods: The demographic questionnaire and Persian, Turkmen, and Kazak versions of HBC-HBP were completed by 281 Iranian participants. The scale structure was evaluated using the goodness of fit by Exploratory and Confirmatory Factor Analysis (CFA). Results: The mean of CVI was 0.94, indicating good content validity.CFA revealed two subscales for HBC-HBP, collectively explaining 70% of the adherence medication variance in three versions. All item loadings were "moderate" to "excellent", ranging from 0.38 to 0.95. CFA indicated the goodness of fit for the HBC-HBP based on the trilingual version. Cronbach's alpha was 0.90 for the whole scale (p&lt;0.001). The optimal cut-off point that best distinguished between adherent and non-adherent patients was 26.5. Discussion: Results showed the validity and reliability of the trilingual versions of instrument for measuring adherence medication in the elderly with hypertension. Keywords: Psychometrics, Iran, Blood Pressure, Aged, Adherence.
DOI: 10.17632/fgymcpmmpm.1
title: Health Status of Kazaks Minority Aging Group in Iran: a cross-sectional study on their sense of loneliness

description: Objectives: Loneliness is a mental and debilitating condition that results in metabolic disorders, hypertension, and sadness. In fact, loneliness for the older people is the inability to establish and maintain satisfying relationships with others and is a widespread phenomenon. The study aimed to investigate loneliness in Iranian aging Kazaks and its relationship with their health status. Design: The present study is a descriptive-analytical one that was conducted on 234 Iranian ageing Kazaks in 2020. Data collection tools included demographic and health information questionnaires and (University of California, Los Angeles) Loneliness Scale, 21-items. The convenience sampling method was used for data collection. The data were analyzed using SPSS version 26. This study was registered at Shiraz University of Medical Sciences and all participants provided the written and verbal consent. Results: the mean score of loneliness was 51.77 (SD = 6.11) and its cut-off point was 44.5. Health index had a significant and inverse relationship with loneliness (P = 0.001, OR = 2.347). Also, living alone, hypertension and gender (OR = 5.034, 4.107 and 4.099, respectively) were the predictors of loneliness. Conclusion: General health, hypertension, and living alone have a significant relationship with loneliness. It is suggested to provide conditions to create communities and sanctuaries appropriate to the culture and customs of the Kazaks ethnic minority in order to keep them active in the community. Keywords: Health Status, Minority Group, Cross-Sectional Studies, Loneliness, Aged.
DOI: 10.17028/rd.lboro.6211199.v2
title: m-Commerce Design Personas - Attitudes, Motivations, and Multichannel Retail

description: Primary and Secondary personas generated from consumer research. These represent the two underlying populations of consumer in the fashion m-Commerce domain.<br>To Cite:Parker, C. J. (2018). Multichannel Retail Personas. CC BY-NC. Available at: https://doi.org/10.17028/rd.lboro.6211199<br><br><br>
DOI: 10.25386/genetics.6275915
title: Supplemental Material for Keightley and Jackson, 2018

description: Supplementary figures and table.<br>
DOI: 10.25386/genetics.6165824.v1
title: Supplemental Material for Lucotte et al., 2018

description: Contains supplementary figures and tables
DOI: 10.17632/68c4c77f4s.2
title: Industrial Pipelines Data Generator

description: The uniqueness and the complexity of industrial construction project data have always been a challenge in research. The confidentiality of the data also contributes to the difficulty of avail data to researchers and the public, especially those projects related to industrial projects such as oil and gas facility projects. Therefore, data generators capable of generating a large number of simulated data have been a pressing demand by the research communities. This data describes a data generator that is capable of producing simulated industrial pipelines data. The industrial pipelines data are complex in nature and the data generator is capable of generating a set of pipelines that preserves the topological and physical properties of the pipeline formation components. Each generated component has eight components. These are: 1. Line number 2. The type of pipeline branch 3. Component location (seq_in_branch) 4. The id of the previously connected component 5. Component type 6. Component diameter 7. Component length 8. The running direction (x, y, z) of the component The data is a Python program code. It runs in a simple Python Integrated Development Environment (IDLE) and saves the generated data in a text file within the program code folder directory. The generated data can be used in studies related to the optimization of industrial pipelines fabrication, transportation, and on-site installation processes. The industrial pipelines data generator can allow different optimization algorithms to be tested under a large number of instance of problems. Also, the availability of the generator program code will enable the researchers to extend the development in the industrial pipeline data.
DOI: 10.15126/surreydata.6287015.v1
title: Chapter 6 time metrics

description: Relative edit time data from Chapter 6 "Paper-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287021.v1
title: Chapter 6 usefulness and usability metrics

description: Usefulness and usability metric data from Chapter 6 "Paper-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287006
title: Chapter 4 metrics

description: Metric data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287012
title: Chapter 5 task load index metrics

description: Task load index metric data from Chapter 5 "Screen-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287006.v1
title: Chapter 4 metrics

description: Metric data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287012.v1
title: Chapter 5 task load index metrics

description: Task load index metric data from Chapter 5 "Screen-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287015
title: Chapter 6 time metrics

description: Relative edit time data from Chapter 6 "Paper-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287009
title: Chapter 4 task load index metrics

description: Task load index metric data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287021
title: Chapter 6 usefulness and usability metrics

description: Usefulness and usability metric data from Chapter 6 "Paper-based semantic speech editing" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6286997
title: Chapter 4 demographics

description: Demographic data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6286997.v1
title: Chapter 4 demographics

description: Demographic data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.
DOI: 10.15126/surreydata.6287009.v1
title: Chapter 4 task load index metrics

description: Task load index metric data from Chapter 4 "Measuring audio visualization performance" from the PhD thesis "Semantic Audio Tools for Radio Production" by Chris Baume.