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.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “h-index”
Qualitative coding of brief videos that teach about the h-index
<p><strong>Dataset of qualitative coding of 31 Youtube videos on the h-index. </strong>The study aimed to characterize educational videos about the h-index to understand available resources and provide recommendations for future educational initiatives.</p> <p><em>Data.csv</em>: contains the metadata and qualitative coding for 31 videos.</p> <p><em>ReadMe.csv</em>: contains the codebook including a description of variables.</p> <p><strong>Abstract. </strong>The authors analyzed videos on the h-index posted to YouTube. Videos were identified by searching YouTube and were screened by two authors. To code the videos the authors created a coding sheet, which assessed content and presentation style with a focus on the videos’ educational quality based on Cognitive Load Theory. Two authors coded each video independently with discrepancies resolved by group consensus. Thirty-one videos met inclusion criteria. Twenty-one videos (68%) were screencasts and seven used a “talking head” approach. Twenty-six videos defined the h-index (83%) and provided examples of how to calculate and find it. The importance of the h-index in high-stakes decisions was raised in 14 (45%) videos. Sixteen videos (52%) described caveats about using the h-index, with potential disadvantages to early researchers the most prevalent (n=7; 23%). All videos incorporated various educational approaches with potential impact on viewer cognitive load. Most videos (n=21; 68%) displayed amateurish production quality. The videos featured content with potential to enhance viewers’ metrics literacies such that many defined the h-index and described its calculation, providing viewers with skills to recognize and interpret the metric. However, less than half described the h-index as an author quality indicator, which has been contested, and caveats about h-index use were inconsistently presented, suggesting room for improvement. While most videos integrated practices to facilitate balancing viewers’ cognitive load, few (32%) were of professional production quality. Some videos missed opportunities to adopt particular practices that could benefit learning. </p>
Quantifying research interests in 7,521 mammalian species with h-index: a case study (scopus output)
<p>Dataset of bibliometric data collected from Scopus for the manuscript 'Quantifying research interests in 7,521 mammalian species with h-index: a case study'.</p>
Quantifying research interests in 7,521 mammalian species with h-index: a case study (model output)
<p>Model results for Quantifying research interests in 7,521 mammalian species with h-index: a case study</p>
Metadata of MALBA h-index subgraph
<p>Dataset for the QSS publication "Exploring publication networks with a local cohesion-maximizing algorithm" (2024) by Held / Gläser.</p> <p>It contains the UT-List and selected metadata of the subgraph that resulted from running MALBA with a seed of seven highly cited h-index publications, resulting in a subgraph of 1,018 publications. The file is directly taken from MALBA's output.</p> <p>Columns read: UT - Title - Year - Authors - Journal - in_step_added_by_MALBA - in_surrounding_of_MALBA_subgraph?</p> <p>Data were obtained from the stable version of the Web of Science database of the Competence Centre for Bibliometrics (version January 2023, https://bibliometrie.info/).</p> <p> </p>
Supplemental data for: Visualization of rank-citation curves for fast detection of possible manipulations with the h-index of the university
<p>This dataset consists of papers of universities in the top 30 Scopus Ranking of Ukrainian Universities (May 2023). The data was obtained from Scopus using the search query "AF-ID (“university name”) AND PUBYEAR < 2023 AND PUBYEAR > 2002". Rank-citation curves were also generated for the publications of each university. In this analysis, the rank of publications was plotted along the horizontal axis, while the corresponding citation counts were depicted on the left axis. All types of documents were included in the dataset.</p>
Data from: Games academics play and their consequences: how authorship, h-index, and journal impact factors are shaping the future of academia
Open the record for dataset details and reuse information.
Dataset for 'Phylogenetic Diversity vs H-Index – does genetics or culture lead conservation science?'
Open the record for dataset details and reuse information.
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.