Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
20
datasets available to search
ShareScore release 0.9.0
Dataset results
20 results for “user generated content”
Pilot 1 user-generated-content
<p>The information of this dataset will be provided by the users who will participate in the Gallery visits, and will contribute content participating in the experiments using the CrossCult Pilot 1 app. This content will represent the users’ reinterpretation of the NG collection information, allowing them to reflect on their experiences. This will include data literals from any subgroups of the NG collection created by user input, preferences and searches.</p>
Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking
<p>Given volume of content and misinformation on social media, there is a need for systems that can support fact checkers by prioritizing content that needs to be fact checked. Prior research on prioritizing content for fact-checking has focused on news media articles, predominantly in English language. But there is an increasing amount of misinformation in user-generated content. Furthermore, misinformation is generated through information across modalities. In this paper we present a novel dataset that can be used to prioritize check-worthy posts from multi-media content in Hindi. It is unique in its 1) focus on user generated content, 2) multi-modality and 3) Hindi as the primary language of content. In addition, we also provide metadata for each post such as number of shares and likes of the post on ShareChat, a popular Indian social media platform, that allows for correlative analysis around virality and misinformation. </p>
The Impact of User Generated Content (UGC) on Impulsive Buying in Live Streaming Marketing
<p><span>The internet is growing, which affects the business industry's ability to keep up with its development by doing live streaming marketing. Live streaming marketing makes consumers make impulsive purchases because consumers can interact with sellers in real time and see people's reviews through comments, making consumers' buying intentions higher. The aim of this study is to explain how user-generated content in live-streaming marketing acts as an impulsive buying factor. It can also be referred to as user-generated content. Other consumers create user-generated content to give their honest review of a product in a video, photo, or other format. This research uses quantitative methods. The data was collected through a questionnaire distributed in June–September 2024 to 154 customers who buy via live streaming. The data collection method used is purposive sampling; the data is then processed using Structural Equation Modeling (SEM) with Smart PLS as tool. There are six variables in this research, there are:<span> </span>user generated content, content authenticity, social interaction, emotional appeal, pleasure, and impulsive buying with seven hypotheses.<span> </span>The results showed that the value of user-generated content, social interaction, and content authenticity in live-streaming marketing has a significant effect on pleasure and emotional appeal so that it can impact impulsive buying for users.</span></p> <p><span><strong><em><span>Keywords: user generated content, live streaming marketing, impulsive buying, UGC, e-commerce</span></em></strong></span></p>
User Generated Content (EOL v2): User Added Text, full v2
with user IDs mapped to v3 IDs; static resource file. derived from <p></p>https://opendata.eol.org/dataset/user-generated-content/resource/6886fc1d-83f9-45a6-87c4-b6b7726f30b8 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user contributed common names for v3
in form: Namestring, ISO language code, User ID, Taxon ID Taxon IDs from v2, some may not find matches in v3 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): selected collection IDs
EOL v2 collections containing 3 or more taxa, not including content partner resource collections For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): image order
A starting point for images in EOL v3, based on v2 user ratings and user selections as exemplar, translated into the new media tab system. Format: order begins 0, 1, 2, 3... counting from the top of the media gallery if firstOrLast=first, counting from the bottom of the media gallery if firstOrLast=last For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): User Added Text, curated
For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): taxonomic propagation - image ratings
<p></p>https://eol-jira.bibalex.org/browse/DATA-1786 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): taxonomic propagation - exemplar images
<p></p>https://eol-jira.bibalex.org/browse/DATA-1786 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user activity collections (json format)
<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user activity collections
<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user exemplar images
<p></p>https://eol-jira.bibalex.org/browse/DATA-1746 Data as of Oct 25, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user image ratings
<p></p>https://eol-jira.bibalex.org/browse/DATA-1741 Data as of Oct 25, 2018. For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user image cropping
From DATA-1740 Data as of Oct 25, 2018 Initial report: <p></p>https://editors.eol.org/other_files/EOL_v2_files/image_crops.txt.zip From DATA-1805. Same report, now with EOL_pk: <p></p>https://editors.eol.org/other_files/EOL_v2_files/image_crops_withEOL_pk.txt.zip For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user comments
<p></p>https://eol-jira.bibalex.org/browse/DATA-1732 Data as of Oct 25, 2018. For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): curation of media objects
trust, untrust, hide, set as exemplar <p></p>https://eol-jira.bibalex.org/browse/DATA-1731 Oct 24, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user added text
<p></p>https://eol-jira.bibalex.org/browse/DATA-1730 Data as of Oct 25, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user-added comnames
<p></p>https://eol-jira.bibalex.org/browse/DATA-1726 Data as of Oct 25, 2018. For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
User Generated Content (EOL v2): user-preferred comnames
<p></p>https://eol-jira.bibalex.org/browse/DATA-1726 Data as of Oct 25, 2018. For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.