cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y28g7544wc.1
title: Data for: Clusters of non-adherence to medication in neurological patients

description: In this prospective observational study data from 429 neurological patients were collected either during their visit in the outpatient clinic or during their stay on the neurological ward in the Department of Neurology (Jena University Hospital, Jena, Germany) between January and May 2018. The self-reported demographical data included: age, gender, marital status, level of education, and occupation. In addition, patients were asked on the details of their medication: who takes care of their daily medication and how much medication they take each day. Adherence was assessed using the Stendal Adherence with Medication Score (SAMS). The questionnaire includes 18 questions forming a cumulative scale (0 - 72) in which 0 indicates complete adherence and 72 complete non-adherence. All subjects gave written informed consent and the study was approved by the ethics committee of the Jena University Hospital, Jena, Germany. Further references: Prell T, Schaller D, Perner C, Franke GH, Witte OW, Kunze A, Grosskreutz J. Comparison of anonymous versus nonanonymous responses to a medication adherence questionnaire in patients with Parkinson's disease. Patient Prefer Adherence. 2019 Jan 18;13:151-155. doi: 10.2147/PPA.S186732 Franke G, Jagla M, Reimer J, Haferkamp L, Türk T, Witzke O. Erfassung von Medikamenten-Compliance bei erfolgreich Nierentransplantierten mit einer erweiterten Version des Morisky-Scores – dem Essener Compliance Score (ECS). Psychotherapie, Psychosomatik, Medizinische Psychologie. 2009. Jäger S, Franke G, Reimer J, et al. Der Zusammenhang zwischen Medikamenten-Compliance und gesundheitsbezogener Lebensqualität bei Nierentransplantierten. AK Klinische Psychologie im BDP: Psychische Störungen in der somatischen Rehabilitation. 2009:79-93. Türk T, Franke G, Jagla M, et al. Development of the Essen Compliance Score – Measurement of adherence in kidney transplant patients. American Journal of Transplantation. 2009;9. Rottlaender D, Scherner M, Schneider T, Erdmann E. Polypharmacy, compliance and non-prescription medication in patients with cardiovascular disease in Germany. Dtsch Med Wochenschr. 2007;132:139-144.
DOI: 10.5286/isis.e.rb1770010-2
title: 1770010
DOI: 10.17632/6x4zhhdscz.2
title: Well-being and body symptoms before and after experimental psychotherapeutic session using process-oriented approach

description: Present dataset was used in research on process-oriented approach to working with body symptoms within our recent study (will be referenced upon publication). The dataset represents individual patients in each row. Basic demographics are present: - group (clinical, experimental) - population (non-clinical, inpatient, outpatient) - diagnostical group (anxiety, depression, anxious-depressive, affective disorders/bipolar disorder) - gender (female, male) - education level (elementary, secondary vocational school, high school, higher vocational school, university) - vocational category (student, employed, self-employed, unemployed, disability pension, retired, maternity leave) - marital state (unmarried, in relationship, married, divorced, widowed) For demographics labels used in the dataset, see the spreadsheet called "Codes" within the file. Participants were randomly assigned into experimental and control group. The difference between the two groups was that the experimental group received a therapeutic session based on process-oriented approach within the study period, while the control group received a treatment as usual. However, to provide equal treatment to both groups and not decline the control group the potentially beneficial process-oriented therapy, we provided a supplementary session to the control group one week after the experimental group. While doing so, we also administered some relevant questionnaires to the control group after the supplementary session. Therefore, some variables are treated as equivalent, regardless of the group they were obtained from (for example the WAI and SRS results, which are ex post facto session evaluations). For a synoptic overview of which data were collected and in which phases, see the spreadsheet called "Measurement denotations" within the data file. The dataset creation was supported by Palacký University Olomouc (grant number IGA_FF_2017_025).
DOI: 10.5286/isis.e.rb1670565-1
title: 1670565
DOI: 10.5517/ccdc.csd.cc1z1tjc
title: CCDC 1819003: Experimental Crystal Structure Determination

description: Related Article: Tien-Lin Wu, Shih-Han Lo, Yu-Che Chang, Min-Jie Huang, Chien-Hong Cheng|2019|ACS Applied Materials and Interfaces|11|10768|doi:10.1021/acsami.8b21568
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/f288f6vk84.2
title: Comparative In-Vitro Analysis on Anti-Diabetic Potential of Most prevalent medicinal herbs

description: 18 samples (including seed and pulp of cumini syzygium) were taken on the basis of the prevalent medicinal herbs Inhibition of α-amylase activity Starch solution (0.5%w/v) was prepared by stirring potato starch (0.125 g) in 20 mM sodium phosphate buffer with 6.7 mM sodium chloride (pH 6.9; 25 mL) in a boiling water bath for 15 min. The 𝛼-amylase solution was prepared by mixing 1 U/mL of amylase in the same buffer. The colorimetric reagent was prepared by mixing equal volume of sodium potassium tartrate tetrahydrate solution and 96 mM 3, 5-dinitro salicylic acid (DNS) solution. Starch solution (1000𝜇L) was mixed with increasing concentration of an enzyme inhibitor i.e sample (100, 200, 400, 800, 1000𝜇g/mL) or acarbose (100–1000𝜇g/mL), and to this 1000𝜇L of 𝛼-amylase solution was added and incubated at 25∘C for 3min to react with the starch solution. A 1000𝜇L of 96 mM DNS reagent was added to the above solution, and the contents were heated for 15 min on a boiling water bath. The final volume was made up with distilled water, and the absorbance was measured at 540 nm using spectrophotometer (A. Kuppusamy et.al; 2011). The percentage inhibition and 50% inhibitory concentration (IC50) value was calculated. Inhibition of α-glucosidase activity The 𝛼-glucosidase enzyme inhibition activity was determined by incubating 100𝜇L of 𝛼glucosidase enzyme (1 U/mL) solution with 100𝜇L of phosphate buffer (pH 7.0) which contains 100𝜇L of enzyme inhibitor such a sample (100-1000µg/ml) or acarbose (1001000𝜇g/mL) at 37∘C for 60min in maltose solution. To stop the 𝛼-glucosidase action on maltose, the above reaction mixture was kept in boiling water for 2 min and cooled. To this, 2 mL of glucose reagent was added and its absorbance was measured at 540 nm to estimate the amount of liberated glucose by the action of 𝛼-glucosidase enzyme (Srinivasan and Ramaroa; 2007) .The percentage inhibition and 50% inhibitory concentration (IC50) value was calculated. Percentage inhibition was calculated using following equation: Percentage inhibition=(absorbance of control - absorbance of sample)/(absorbance of control)*100% Percentage inhibition is then transformed in the form of IC50 value using software prism 5. Those samples with IC50 value near to that of standard i.e. Acarbose were considered the best among the samples used. They showed highest inhibition potential in both the cases.
DOI: 10.5281/zenodo.2577060
title: Trained Model (java14m)

description: This archive contains a pre-trained model, but not released to be trained again.
DOI: 10.5281/zenodo.2577061
title: Trained Model (java14m)

description: This archive contains a pre-trained model, but not released to be trained again.
DOI: 10.5281/zenodo.2577070
title: RAGE - Data Evaluation Watercooler pilot 1

description: <strong>General description: </strong>Data from the first Evaluation of the Watercooler game - pilot round 1

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2017

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong>target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: Watercooler game<br>
Methodology/design: Pre- and post-game questionnaire (no repeated measures)<br>
Evaluation variables: gaming preferences and habits, attitude towards games, learning self-assessment, user experience

<strong>Instruments:</strong> questionnaire items for analysis of the participants’ gaming patterns and relating to their perception of applied games; self-reflection and subjective evaluation of the game’s effectiveness as a tool in teaching and learning

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: affective skills - interpersonal; affectiv skills - internalising values, responding to phenomena, receiving phenomena<br>
ESCO skills: teamwork principles (http://data.europa.eu/esco/skill/a5b0cd5c-e13a-4ab3-8d93-4d242adcfb01I); communication principles (http://data.europa.eu/esco/skill/fe30a4b0-1a99-4fc7-afff-b162b8c834ba); plan teamwork (http://data.europa.eu/esco/skill/75e48971-3242-4ea5-a1ba-4deec48ad41c); work in teams (http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0)<br>
<br>
<strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2564931
DOI: 10.5281/zenodo.2577071
title: RAGE - Data Evaluation Watercooler pilot 1

description: <strong>General description: </strong>Data from the first Evaluation of the Watercooler game - pilot round 1

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2017

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong>target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: Watercooler game<br>
Methodology/design: Pre- and post-game questionnaire (no repeated measures)<br>
Evaluation variables: gaming preferences and habits, attitude towards games, learning self-assessment, user experience

<strong>Instruments:</strong> questionnaire items for analysis of the participants’ gaming patterns and relating to their perception of applied games; self-reflection and subjective evaluation of the game’s effectiveness as a tool in teaching and learning

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: affective skills - interpersonal; affectiv skills - internalising values, responding to phenomena, receiving phenomena<br>
ESCO skills: teamwork principles (http://data.europa.eu/esco/skill/a5b0cd5c-e13a-4ab3-8d93-4d242adcfb01I); communication principles (http://data.europa.eu/esco/skill/fe30a4b0-1a99-4fc7-afff-b162b8c834ba); plan teamwork (http://data.europa.eu/esco/skill/75e48971-3242-4ea5-a1ba-4deec48ad41c); work in teams (http://data.europa.eu/esco/skill/60c78287-22eb-4103-9c8c-28deaa460da0)<br>
<br>
<strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2564931
DOI: 10.17632/dsvztjh45m.1
title: Study dataset: Features of anticholinergic prescriptions and Predictors of their heavy use in older adults; A large population based cross-sectional study

description: Dataset of the study: Features of anticholinergic prescriptions and Predictors of their heavy use in older adults; A large population based cross-sectional study
DOI: 10.17632/dsvztjh45m.2
title: Study dataset: Features of anticholinergic prescriptions and Predictors of their heavy use in older adults; A large population based cross-sectional study

description: Dataset of the study: Features of anticholinergic prescriptions and Predictors of their heavy use in older adults; A large population based cross-sectional study
DOI: 10.17632/rjndt65t7j.1
title: Development and validation of a UPLC-MS/MS method for determination of lusutrombopag in rat plasma and its pharmacokinetic application

description: Development and validation of a UPLC-MS/MS method for determination of lusutrombopag in rat plasma and its pharmacokinetic application
DOI: 10.17632/9r3grs3xfn.1
title: Gene-specific H1 eviction through a transcriptional activator-p300-NAP1-H1 pathway. Shimada et al.

description: original data
DOI: 10.17632/xmcsyby5bd.1
title: Challenge Chess

description: Chess hormonal response
DOI: 10.17632/4g29fdxwm3.1
title: Data for: 3341069

description: All cited materials written in Chinese in this manuscript are in the zip entitled "cited materials written in Chinese." Most of them are in different sub-folders entitled by their authors' full names and data. Some are PDFs entitled by their authors' full names and data. The pictures of the copyright page, the cover, and the cited pages in each cited Chinese book are put in each sub-folder respectively.
DOI: 10.17632/737c7pzxvh.1
title: Pathogenicity of indigenous strains of Heterorhabditis spp against S litura

description: Pathogenicity of indigenous strains of Heterorhabditis spp against S litura
DOI: 10.17632/jmgzjrjkrh.1
title: Whole Rock Geochemistry of 2.8 Ga Western Yilgarn Rocks

description: Geochemical data for Mesoarchean volcanic and shallow level intrusive rocks. Relates to the 2.8 Ga evolution of the Yilgarn craton and the issue of mantle plume versus subduction related geodynamics. The author favours a subduction or plate tectonic origin with similarities to Neothethyan ophiolites. Rock types include boninitic volcanics, High-Fe basalts, High Magnesium Basalts, picrites and related cumulate rocks and Alaskan-type intrusives. The project was supported by the Australian Research Council and the Geological Survey of Western Australian. The data will appear as part of the survey's larger geochemical data WACHEM.
DOI: 10.17632/4wb3p7wt69.1
title: 1

description: ee
DOI: 10.17632/6gyjr8m7m9.1
title: Data of a Social Network Analysis using OntoSNAQA and other conventional tools (UCINET, Pajek, Cytoscape and Gephi)

description: The compressed file contains: - Data files in spreadsheet format from three different networks (friendship, companionship and acquaintances). - Analysis files from UCINET, Pajek, Cytoscape and Gephi. It is thus possible to corroborate the results mentioned in different studies that refer to these data.
DOI: 10.17632/wjyn7scd6d.1
title: Data for: 3341183
DOI: 10.17037/data.00001024
title: Search strategies for "Self-sampling kits to increase HIV testing among black Africans in the UK: the HAUS mixed-methods study"

description: The search strategies are displayed as entered into each database. Therefore, each line can be copied into the appropriate database to replicate the results if required. The search was constructed and tested in the OvidSP Medline database. This search was then edited to take account in differences of syntax and controlled vocabulary before being run in subsequent databases. The search was run in the following databases: OvidSP Medline; OvidSP Embase, OvidSP Global Health; OvidSP Social Policy & Practice; OvidSP PsycINFO; OvidSP Health Management Information Consortium (HMIC); Ebsco CINAHL Plus; Cochrane Library; Web of Science Core Collection; Scopus. 

In all searches, numbers in brackets after each line are the number of items retrieved. 

Results from each search are deduplicated against all previous searches. This is done by EndNote and manually, therefore, there may be some duplicates remaining in the EndNote file.
DOI: 10.17632/97ckh4jtt8.1
title: The influence of sleep on work performance: A diary study

description: Dataset from Czech diary study on sleep and performance.
DOI: 10.25345/c5061z
title: MassIVE MSV000083478 - Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples
title: This data set contains all raw data files in the mzXML (for CE-ESI-MS data) or xy (for MALDI-TOF-MS data) format that belongs to the manuscript "Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples" by Guinevere S.M. Lageveen-Kammeijer, Noortje de Haan, Pablo Mohaupt, Sander Wagt, Mike Filius, Jan Nouta, David Falck and Manfred Wuhrer.
DOI: 10.5281/zenodo.2577143
title: RAGE - Data Evaluation HATCH pilot 1

description: <strong>General description: </strong>Data from the first Evaluation of the HATCH game - pilot round 1

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2017

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong> target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: HATCH - The Creative Entrepreneur game<br>
Methodology/design: Pre-post test design<br>
Evaluation variables: gaming preferences and habits, attitude towards games, learning self-assessment, user experience

<strong>Instruments:</strong>  questionnaire items for analysis of the participants’ gaming patterns and relating to their perception of applied games; self-reflection and subjective evaluation of the game’s effectiveness as a tool in teaching and learning

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: cognitive skills - understanding, remembering, applying, creating<br>
ESCO skills: entrepreneurship (http://data.europa.eu/esco/skill/658605f2-1c95-49f0-bd98-0af7b15ad0b0); show entrepreneurial spirit (http://data.europa.eu/esco/skill/bdcf429c-5ccf-4c3d-bb61-4c987573a35e); business processes (http://data.europa.eu/esco/skill/9e84a506-df06-4be3-874a-fa01293e3dd5)<br>
<br>
<strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2564917
DOI: 10.5281/zenodo.2577144
title: RAGE - Data Evaluation HATCH pilot 1

description: <strong>General description: </strong>Data from the first Evaluation of the HATCH game - pilot round 1

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2017

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong> target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: HATCH - The Creative Entrepreneur game<br>
Methodology/design: Pre-post test design<br>
Evaluation variables: gaming preferences and habits, attitude towards games, learning self-assessment, user experience

<strong>Instruments:</strong>  questionnaire items for analysis of the participants’ gaming patterns and relating to their perception of applied games; self-reflection and subjective evaluation of the game’s effectiveness as a tool in teaching and learning

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: cognitive skills - understanding, remembering, applying, creating<br>
ESCO skills: entrepreneurship (http://data.europa.eu/esco/skill/658605f2-1c95-49f0-bd98-0af7b15ad0b0); show entrepreneurial spirit (http://data.europa.eu/esco/skill/bdcf429c-5ccf-4c3d-bb61-4c987573a35e); business processes (http://data.europa.eu/esco/skill/9e84a506-df06-4be3-874a-fa01293e3dd5)<br>
<br>
<strong>Relationships</strong>: D8.3 First RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2564917
DOI: 10.5281/zenodo.2576853
title: RAGE - Data Evaluation JobQuest pilot 2

description: <strong>General description: </strong>Data from the second (summative) Evaluation of the JobQuest game - pilot round 2

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies, Usability testing<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Graz University of Technology, RANDSTAD<br>
Geographical information: France<br>
Time information: June-August 2018

<strong>Types</strong>: SPSS data file

<strong>RAGCS target group: </strong>target groups - demand side - end users - adults - unemployed, temporary workers

<strong>Evaluation dimensions</strong><br>
Evaluation object: JobQuest game<br>
Methodology/design: Pre-post test design<br>
Evaluation variables: usability; user experience - usefulness, enjoyment; job search efficacy

<strong>Instruments:</strong> questionnaire items adapted from Career Self Efficacy Scale - CSES (Solberg et al., 1994), Job Seeking Self-Efficacy Scale - JSS (Barlow, Wright, & Cullen, 2002), Game User Experience Satisfaction Scale - GUESS (Phan, Keebler, & Chaparro, 2016), Intrinsic Motivation Inventory - IMI (Ryan, 1982)

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: cognitive skills - understanding, remembering, applying, creating; affective skills - interpersonal, intrapersonal<br>
ESCO skills: provide assistance with job search (http://data.europa.eu/esco/skill/7903f946-aeff-4024-b146-8e48018d4eb9), prepare for job interview (http://data.europa.eu/esco/skill/929e89f9-ac69-4bcb-9eea-37257aa5aff9)<br>
<br>
<strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.1209194.
description: The datasets includes the following files: 
RAGE_data_evaluation-JobQuest_pretest-ingame_pilot2.sav - pre-test data and in-game data (where available) for full sample (N=369);
RAGE_data_JobQuest-evaluation_pre-post_pilot2.sav - pre-post-test data for reduced sample (N=78)
description: {"references": ["Steiner, Nussbaumer, Gaisbachgrabner, Platon, & Lepoivre (2019). Evaluation of an interview simulation for job seekers - Applying a holistic evaluation approach for serious games. INTED2019"]}
DOI: 10.17632/x3v7rb83bg.1
title: An Mtb-Human Protein-Protein Interaction Map Identifies a Switch Between Host Anti-Viral and Anti-Bacterial Responses, Penn et. al.

description: All raw microscopy images and blots for Penn et al.