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9,302
datasets available to search
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Dataset results
9,302 results for “DETECT”
Deep learning-assisted single-molecule detection of protein post-translational modifications with a biological nanopore
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Data for the assessment of the detection range of acoustic listening stations in the Zeeschelde estuary, Belgium
<p>Data used to determine the detection of acoustic listening stations in an estuarine environment.</p>
Fig. 1 in Othius punctulatus(Goeze, 1777) (Coleoptera: Staphylinidae) Detected in the Pacific Northwest: A Palearctic Genus New to the USA
Fig. 1. Othius punctulatus, habitus. Photograph by Harald Schillhammer, reproduced with permission.
Training dataset for land type detection on Sentinel-2 images (annotations: build-up, rural, forest, water)
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Covert System For Detecting Nuclear Dirty Bombs In Public Venues Image Files
<p>These files are figure images for the CRABS report. <a href="https://doi.org/10.12688/nuclscitechnolopenres.17455.1" target="_blank" rel="noopener noreferrer">https://doi.org/10.12688/nuclscitechnolopenres.17455.1</a></p>
Date Fruit Detection Dataset for Computer Vision-Based Automatic Harvesting.
<p>The "Date Fruit Detection Dataset for Computer Vision-Based Automatic Harvesting" is a collection of videos and images showcasing date fruits from four Moroccan varieties, namely Majhoul, Boufagous, Bouisthami, and Khoult. This dataset is specifically designed to detect and classify date fruits, with the primary goal being the automation of the harvesting process.</p><p>All the images in this dataset were captured in two orchards located in Morocco, with the first orchard situated in the southeast of Errachidia and the second in Tismoumine, Alnif, Tinghir. These images were taken under various natural conditions, encompassing differing lighting, contrast, shadows, and instances where the dates were concealed by bags or hidden beneath palm leaves.</p><p>The dataset was meticulously compiled over the period spanning from June to September 2022, ensuring comprehensive coverage of all four maturity stages of date fruits, which include immature, khalal, rutab, and tamer. The dataset is intended for both object detection and classification purposes, and it includes a YOLO annotation txt file for each image. These annotations have been tailored to precisely recognize not only the date fruit but also to distinguish the specific variety and its maturity stage.</p>
Mycobacterium tuberculosis-specific antibodies detect progression to active tuberculosis in South African adolescents
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Challenges in the Direct Detection of Chirality-induced Spin Selectivity: Investigation of Foldamer-based Donor-acceptor Dyads
<p>Data supporting the original figures 2, 3, 4. and 5 of the related publication.</p>
Detection of SARS-CoV-2 E and N mRNA at 12 h after co-transfection with SARS-CoV-2 E and N plasmids.
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Automating the Detection of Marine Sound Sources
<p>This dataset contains the training and testing labelled datasets, along with the required scripts, to replicate the CNN model developed within this thesis. For access to raw acoustic dataset used throughout the thesis you should contact the author, it may be available upon request.</p>
Emotion detection
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Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
<p><strong>Datasets for PILOT</strong></p> <p>Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we are still lacking computational methods for the analysis of single-cell and pathomics data at a patient level for finding patient trajectories associated with diseases. This is challenging as a single-cell/pathomics data is represented by clusters of cells/structures, which cannot be compared with other samples. We propose here patient Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two single single-cell experiments. This allows us to perform unsupervised analysis at the sample level and to uncover trajectories associated with disease progression. Moreover, PILOT provides a statistical approach to delineate non-linear changes in cell populations, gene expression and tissues structures related to the disease trajectories. We evaluate PILOT and competing approaches in disease single-cell genomics and pathomics studies with up to 1.000 patients/donors and millions of cells or structures. Results demonstrate that PILOT detects disease-associated samples, cells, and genes from large and complex single-cell and pathomics data.</p>
Supplementary material 1 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Relative abundances of Halamphora species based on microscopy and metabarcodin
Supplementary material 3 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Supplementary Alignment 1
Supplementary material 4 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Supplementary Alignment 2
Supplementary material 2 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Pairwise p-distance values and number of differences
Dataset for intelligent fault detection
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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>
Data for paper "Detection of new pioneer transcription factors as cell-type specific nucleosome binders"
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Figure 1 from: Oggier A, Debonneville C, Conedera M, Schumpp O, Rizzoli A (2024) First detection of 'Candidatus Phytoplasma ulmi' in Switzerland and in Orientus ishidae Matsumura, 1902. Alpine Entomology 8: 29-34. https://doi.org/10.3897/alpento.8.115588
Figure 1 Phylogenetic tree of the secY-map (A) and imp (B) genes sequences from Orientus ishidae obtained in this work and reference strains from Genbank (see Table 1). Maximum likelihood phylogeny based on nucleotide sequences of (A) map (543 bp) and (B) imp (465 bp) genes. The numbers on branches indicate the level of bootstrap support (500 replicates). Support values above 70% are labeled. The scale bar shows the number of substitutions per site.
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.