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128
datasets available to search
ShareScore release 0.9.0
Dataset results
128 results for “rapid detection”
Rapid Detection of Group B Streptococcus (Strep)-Labor and Delivery Study
ClinicalTrials.gov study NCT00330642. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Rapid Diagnostic Tests for Assessment of Initial Clearance and Detection of Recurrent Malaria Infections
ClinicalTrials.gov study NCT01843764. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Diagnostic Study of Rapid Regadenoson Stress Cardiovascular Magnetic Resonance (CMR) to Detect Coronary Artery Disease
ClinicalTrials.gov study NCT01446094. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
Evaluation of Droplet Digital PCR Rapid Detection Method and Precise Diagnosis and Treatment for Suspected Sepsis
ClinicalTrials.gov study NCT05190861. IPD Sharing: NO. Countries: 1. Publications: 2.
Multi-center Research Project for Glioma Molecular Pathology Intraoperative Rapid Detection
ClinicalTrials.gov study NCT04904419. IPD Sharing: NO. Countries: 1. Publications: 1.
COVAG - Covid-19 Antigen Study - the Diagnostic Efficacy of SARS-CoV-2 Rapid Detection Tests
ClinicalTrials.gov study NCT05074017. IPD Sharing: YES. Countries: 1. Publications: 1.
Detecting Infections Rapidly and Easily for Candidemia Trial (DIRECT)
ClinicalTrials.gov study NCT01525095. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Evaluation of a Diagnostic Device, CL Detect™ Rapid Test, for the Diagnosis of Cutaneous Leishmaniasis in Peru
ClinicalTrials.gov study NCT03762070. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Automated Detection and Triage of Large Vessel Occlusions Using Artificial Intelligence for Early and Rapid Treatment (ALERT)
ClinicalTrials.gov study NCT04142879. IPD Sharing: NO. Countries: 1. Publications: 4.
Clinical Performance of the VivaDiag ™ COVID-19 lgM / IgG Rapid Test in Early Detecting the Infection of COVID-19
ClinicalTrials.gov study NCT04316728. IPD Sharing: YES. Countries: 1. Publications: 20.
Data from: Digging for DNA at depth: rapid universal metabarcoding surveys (RUMS) as a tool to detect coral reef biodiversity across a depth gradient
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Data from: Development and validation of rapid environmental DNA (eDNA) detection methods for bog turtle (Glyptemys muhlenbergii)
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A novel approach to low-cost, rapid and simultaneous colorimetric detection of multiple analytes using 3D printed microfluidic channels
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Data from: Phylogenetic signal detection from an ancient rapid radiation: effects of noise reduction, long-branch attraction, and model selection in crown clade Apocynaceae
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Data from: A lateral flow immunochromatographic strip test for rapid detection of hexoestrol in fish samples
A lateral flow immunochromatographic test strip was developed for on-site rapid and sensitive detection of Hexoestrol (HES) residues in fish samples with colloidal gold labeled the anti-HES monoclonal antibody (mAb). The strip is composed of a sample pad, a conjugate reagent pad, an absorbent pad, and a test membrane containing a control line and a test line. The sensitivity (half inhibitory concentration, IC50) of the strip in the detection of fish extract samples was confirmed to be 1.86 μg/kg, and the limit detection (LOD) value was 0.62 μg/kg. For intra-assay and inter-assay reproducibility, recoveries of HES spiked samples were ranged from 86.3% to 92.3% and 85.8% to 93.4%, coefficients of variation were 2.91-4.64% and 4.24-5.17% respectively. High-performance liquid chromatography (HPLC) was employed to confirm the performance of the strip. The strip test only took less than 10 minutes, and thus provides a repaid method for on-site detection of HES residues.
DBSCAN-SWA: An Integrated Tool for Rapid Prophage Detection and Annotation
<p>As an intracellular form of a bacteriophage in the bacterial host genome, a prophage usually integrates into bacterial DNA with high specificity and contributes to horizontal gene transfer (HGT). With the exponentially increasing number of microbial sequences uncovered in genomic or metagenomics studies, there is a massive demand for a tool that is capable of fast and accurate identification of prophages. Here, we introduce DBSCAN-SWA, a command line software tool developed to predict prophage regions in bacterial genomes. DBSCAN-SWA runs faster than any previous tools. Importantly, it has great detection power based on analysis using 184 manually curated prophages, with a recall of 85% compared with Phage_Finder (63%), VirSorter (74%), and PHASTER (82%) for (Multi-) FASTA sequences. Moreover, DBSCAN-SWA outperforms the existing standalone prophage prediction tools for high-throughput sequencing data based on the analysis of 19,989 contigs of 400 bacterial genomes collected from Human Microbiome Project (HMP) project. DBSCAN-SWA also provides user-friendly result visualizations including a circular prophage viewer and interactive DataTables. DBSCAN-SWA is implemented in Python3 and is available under an open source GPLv2 license from <a href="https://github.com/HIT-ImmunologyLab/DBSCAN-SWA/">https://github.com/HIT-ImmunologyLab/DBSCAN-SWA/</a>.</p> <p><strong>This database was organized for standalone program deposited in <a href="https://github.com/HIT-ImmunologyLab/DBSCAN-SWA" target="_blank" rel="noopener">https://github.com/HIT-ImmunologyLab/DBSCAN-SWA</a> to download including Phage Genome and Protein Database (PGPD) and UniProt TrEML database</strong></p>
Raw metagenomic data from Early Detection Rapid Response samples collected in Alaska in 2017
<p>In response to the threat of introductions of non-native forest insects, the Early Detection and Rapid Response (EDRR) program in Alaska monitors for arrivals of non-native insects, an effort that is limited by the time required to process samples using morphological methods. We compared conventional methods of processing EDRR traps with metabarcoding methods for processing the same samples. </p> <p>We deployed Lindgren funnel traps at three points of entry in Alaska using standard EDRR methods and the trap samples were later processed using routine sorting and identification based on morphology. The samples were then processed using High Throughput Sequencing (HTS) metabarcoding methods. In three samples bycatch was included and in three samples non-native species were added.</p> <p>This dataset includes all of the raw FASTQ files obtained from HTS sequencing. </p> <p>Complete specimen and occurrence data are available via an Arctos (<a href="https://arctosdb.org/">https://arctosdb.org/</a>) archive at <a href="https://arctos.database.museum/archive/2017_edrr_ngs_test_records">https://arctos.database.museum/archive/2017_edrr_ngs_test_records</a>. Sequence data have been deposited in in the NCBI Sequence Read Archive under BioProject <a href="https://www.ncbi.nlm.nih.gov/sra/PRJNA542936">PRJNA542936</a>. Complete sample data are provided in the file 2017_EDRR_STDP_sample_data.csv.</p>
Supplementary material 4 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Sequences of amplicon sequence variants in FASTA format.
Figure 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 3 Phylogenetic tree of HTS sequences generated using qiime phylogeny align-to-tree-mafft-fasttree, accepting default parameters. The graphic was rendered using the Interactive Tree Of Life (Letunic and Bork 2019). An interactive version of this tree is available at https://itol.embl.de/tree/1641591522462921555104654. Colors hightlight major taxonomic groups.
Supplementary material 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Amplicon sequence variant table in standard text format
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.