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9 results for “user characteristics”
The Olympic gold medalists and Instagram - A longitudinal study on user characteristics
<p>This dataset includes Instagram user characteristics of those Olympic athletes who won gold medals in the individual events of Rio2016. The name of all these gold medalists of individual events are in the dataset (226 athletes), however only 144 athletes (83 men and 61 women) had a publicly available Instagram account in all of the observations during the 4 months period of data gathering. The first round of data gathering (first observation, i.e. OlympicAthletesData_1) took place 9-Aug-2019 to 12-Aug-2019, the second round of data gathering (second observation, i.e. OlympicAthletesData_2) took place 9-Sep-2019 to 12-Sep-2019, the third round of data gathering (third observation, i.e. OlympicAthletesData_3) took place 9-Oct-2019 to 12-Oct-2019, the fourth round of data gathering (fourth observation, i.e. OlympicAthletesData_4) took place 9-Nov-2019 to 12-Nov-2019. The data gathered for each user (in each observation) consists of:</p> <p>1- Name of the individual event </p> <p>2- Country</p> <p>3- Name</p> <p>4- Gender</p> <p>5- Instagram ID</p> <p>6- Number of Posts</p> <p>7- Number of followers</p> <p>8- Number of followings</p> <p>9- Maximum Number of likes (in the last 10 photo posts)</p> <p>10- Number of comments for the post with Maximum Number of likes (in the last 10 photo posts)</p> <p>11- Number of self-presenting posts in the last 10 photo posts (those posts in which the athlete is present)</p> <p>12- Number of pure self-presenting posts in the last 10 photo posts (those posts in which the athlete is the only person who is present)</p> <p>13- Age</p> <p>14- Date of data crawling</p>
Data set supplementing "Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study"
<p>This is the data set used to conduct the analyses in the article published by the Journal of Medical Internet Research under the title "Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study" (<a href="https://doi.org/10.2196/46231">https://doi.org/10.2196/46231</a>)</p> <p>This data set contains information collected of 1,084 respondents about their awareness, use, and usefulness of symptom checkers and several individual characteristics. </p>
Characteristics of TraceTogether Users
ClinicalTrials.gov study NCT04468581. IPD Sharing: NO. Countries: 1. Publications: 1.
Bisphosphonate Users Radiographic Characteristics of the Hip (BURCH) Study
ClinicalTrials.gov study NCT01360099. IPD Sharing: Not stated. Countries: 1. Publications: 4.
How Phenotypical Characteristics of Woebot Users Are Related to Clinical Outcomes
ClinicalTrials.gov study NCT05672745. IPD Sharing: NO. Countries: 1. Publications: 3.
The Influence of User Characteristics on Task Execution Metrics: Experimental material
<p>Material of paper: The Influence of User Characteristics on Task Execution Metrics</p>
Data on: The role of technical characteristics in blockchain adoption: survey data from German social media network users
<p><span>Blockchain has become a hyped emerging technology that is predicted to be heavily influential in all our lives. Yet, until now, it has failed to deliver most of its advertised benefits. To tackle this problem and provide an explanation for the missing wider success, this study focuses on the role of technology features in the adoption of blockchain. Thus, this research integrates the view on technological characteristics, represented by aspects of the mindfulness concept, with the sociological aspects influencing technology adoption decisions based on the widely used unified theory of acceptance and use of technology (UTAUT). The resulting research model is evaluated using the partial least squares structural equation modelling (PLS-SEM) estimation approach with German social media network. The findings indicate that only high-level knowledge of distinct technology features (uniqueness) is influencing adoption decisions while the missing deeper understanding of these features hinders a careful evaluation of its benefits and meaningful use. This research expands the technology adoption literature by highlighting the role of technical characteristics and combining social, psychological and technological factors into one model. Further, it helps practitioners to understand the causes for the limited success of blockchain and advances the general knowledge on technology adoption.</span></p>
Characteristic of Drug Users Chronic Wound
ClinicalTrials.gov study NCT03608384. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data on: The role of technical characteristics in blockchain adoption: survey data from German social media network users
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.