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.
37
datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “Structured reporting”
Fig. 10 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 10. The newly reported compounds of benzofuran lignans.
Fig. 11 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 11. The newly reported compounds of oxyneolignans and non-oxyneolignans.
Fig. 5 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 5. The newly reported compounds of arylnaphthalenelactones lignans.
Fig. 6 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 6. The newly reported compounds of furofuran lignans.
Fig. 8 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 8. Basic skeletons of neolignans.
Fig. 3 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 3. The newly reported compounds of tetrahydrofuran lignans.
Fig. 1 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 1. Basic skeletons of lignans.
Fig. 9 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 9. The newly reported compounds of biphenyl lignans.
Fig. 7 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 7. The newly reported compounds of dibenzocyclooctene lignans.
Fig. 4 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 4. The newly reported compounds of arylnaphthalene lignans.
Fig. 2 in Review of lignans from 2019 to 2021: Newly reported compounds, diverse activities, structure-activity relationships and clinical applications
Fig. 2. The newly reported compounds of dibenzylbutane lignans.
From Variability to Standardization: The Impact of Breast Density on Background Parenchymal Enhancement in Contrast-Enhanced Mammography and the Need for a Structured Reporting System
ClinicalTrials.gov study NCT06838117. IPD Sharing: NO. Countries: 1. Publications: 0.
Multidisciplinary Assesssment of Structured Report for Cervical Cancer Staging
ClinicalTrials.gov study NCT06260358. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Nationwide Implementation of Standardized Structured Reporting
ClinicalTrials.gov study NCT03649126. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Figure 2 in Preliminary report on the genetic structure of Glyphoglossus molossus (Anura: Microhylidae) from the Khorat Plateauı north-eastern Thailand
Figure 2. Phylogenetic relationships populations of Glyphoglossus molossus. Nodal support value bootstrap for Maximum likelihood (ML) and posterior probabilities for Bayesian analysis (BA) are shown above or near branches, respectively. The scale bar represents 0.04 substitutions per nucleotide position.
Short-term modifications in the chemical structure of wood charcoals: implications for anthracological investigations (under review in Journal of Archaeological Research: Reports)
Open the record for dataset details and reuse information.
Dataset for paper [Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique]
<p>Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniques can facilitate automatic information extraction and transformation of free-text formats to structured data. In recent years, deep learning (DL)-based models have been adapted for NLP experiments with promising results. Despite the significant potential of DL models based on artificial neural networks (ANN) and convolutional neural networks (CNN), the models face some limitations to implement in clinical practice. Transformers, another new DL architecture, have been increasingly applied to improve the process. Therefore, in this study, we propose a transformer-based fine-grained named entity recognition (NER) architecture for clinical information extraction. We collected 88 abdominopelvic sonography reports in free-text formats and annotated them based on our developed information schema. The text-to-text transfer transformer model (T5) and Scifive, a pre-trained domain-specific adaptation of the T5 model, were applied for fine-tuning to extract entities and relations and transform the input into a structured format. Our transformer-based model in this study outperformed previously applied approaches such as ANN and CNN models based on ROUGE-1, ROUGE-2, ROUGE-L, and BLEU scores of 0.816, 0.668, 0.528, and 0.743, respectively, while providing an interpretable structured report.</p>
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.