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.
11
datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “semantic enhancements”
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets)
<p>This dataset contains all the runs, pools, plots and analyses to reproduce the results presented in the paper: "Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval ", 2020.</p>
Fig. 1 in EJT editorial standard for the semantic enhancement of specimen data in taxonomy literature
Fig. 1. The GoldenGATE interface. Using pattern recognition and natural language processing techniques, the article structure is encoded allowing the extraction of the taxon treatment sections. Furthermore, the TaxPub extension allows for fine-grain mark-up of sub-article elements such as the scientific names (A) and specimen citations (B).
Fig. 2 in EJT editorial standard for the semantic enhancement of specimen data in taxonomy literature
Fig. 2. The EJT-Plazi workflow. Plazi processes the PDF of an EJT publication to extract the subarticle elements and distribute them to biodiversity aggregators. Taxonomic treatments, images, tables, scientific names and even the fine-grain specimen data are semantically enhanced and available on a variety of platforms.
Fig. 3. A in EJT editorial standard for the semantic enhancement of specimen data in taxonomy literature
Fig. 3. A taxonomic treatment extracted from the European Journal of Taxonomy and displayed on the Plazi Treatment Bank. In the right-hand sidebar, the parsing performed on the specimen citations has been used to generate graphic charts of the material studied. In the inset, a map has been generated via GoogleMaps by plotting the extracted geocoordinates.
Semantic metadata annotation: tagging medline abstracts for enhanced information access
<p>The object of this study is to develop methods for automatically annotating the argumentative role of sentences in scientific abstracts. Working from Medline abstracts, we classified sentences into four major argumentative roles: objective, method, result, conclusion. The idea is that if the role of each sentence can be marked up, then this metadata can be used during information retrieval to seek for particular types of information such as novelty, conclusions, methodologies, aims/goals of a scientific piece of work.</p> <p> </p>
Boston & Corniolo Datasets - road segmentation - described in "An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images""
<p>In Corniolo.rar the masks (values {0,1}) are saved in the png files</p>
Dataset for semantic-enhanced indirect call solver
<p>datasets among 31 projects for SEA</p>
Figure 3 from: Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V, Roberts D, Smith V, Brake I, Ryrcroft S, Scott B, Johnson N, Sautter G, Chavan V, Robertson T, Remsen D, Stoev P, Parr C, Knapp S, Kress W, Thompson F, Erwin T (2010) Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. ZooKeys 50: 1-16. https://doi.org/10.3897/zookeys.50.538
Figure 3 - Flowchart of an integrated, XML-based editorial, publishing and dissemination process applied in ZooKeys through the Pensoft Mark Up Tool (PMT).
Figure 2 from: Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V, Roberts D, Smith V, Brake I, Ryrcroft S, Scott B, Johnson N, Sautter G, Chavan V, Robertson T, Remsen D, Stoev P, Parr C, Knapp S, Kress W, Thompson F, Erwin T (2010) Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. ZooKeys 50: 1-16. https://doi.org/10.3897/zookeys.50.538
Figure 2 - Four stages of an XML-based editorial, publication and dissemination workflow applied in ZooKeys (stages 1, 2, 4) and/or Plazi (stages 3, 4). Forms in blue are either implemented or prototyped, forms in red are in a process of development.
Figure 4 from: Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V, Roberts D, Smith V, Brake I, Ryrcroft S, Scott B, Johnson N, Sautter G, Chavan V, Robertson T, Remsen D, Stoev P, Parr C, Knapp S, Kress W, Thompson F, Erwin T (2010) Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. ZooKeys 50: 1-16. https://doi.org/10.3897/zookeys.50.538
Figure 4 - Pensoft Taxon Profile created dynamically by PMT and available through a link to any taxon name mentioned within a paper. In this case, this is the oak species Quercus suber L., cited in a zoological paper (Stoev et al. 2010). The red arrow indicates the "Create your own taxon profile" option, that may be used by the reader to create profiles of any taxon name or to improve search results for taxonomic names cited in the paper.
Figure 1 from: Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V, Roberts D, Smith V, Brake I, Ryrcroft S, Scott B, Johnson N, Sautter G, Chavan V, Robertson T, Remsen D, Stoev P, Parr C, Knapp S, Kress W, Thompson F, Erwin T (2010) Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. ZooKeys 50: 1-16. https://doi.org/10.3897/zookeys.50.538
Figure 1 - Conventional layout of a standard taxonomic publication in PDF format (A) and the same portion of text in XML-tagged format (B). Explanations: The sign "<" incidates the start tag and the symbol " denotes the start of the treatment and the tag (not visible here) marks up the end of the treatment within the text of the paper. The tags and denote the start and end of a particular section of the treatment, in this case the type material data (labelled as Type material.)
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.