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.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “Multi-layered network”
Machine learning and multi-layer molecular network-assisted screening uncovers unknown compounds in the fentanyl family
<p>These LC-HRMS data was collected in study of Fentanyl-Hunte. All source codes along with a user manual are available for scientific research purposes at https://github.com/FangLabNTU/Fentanyl-Hunter.</p>
SDUST2023BCO: a global seafloor model determined from multi-layer perceptron neural network using multi-source differential marine geodetic data
<div> <p>SDUST2023BCO.nc is the global marine bathymetric model covering 80°S~80°N and 0°~360°E on 1′×1′ grids. The dataset contains geospatial information (latitude, longitude), SDUST2023BCO bathymetric model and an attachment data.</p> </div>
Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network
<p><strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2)</p> <p><strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network</p> <p><strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results</p> <p><strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results</p> <p><strong>Supplementary data 5</strong>: KGMN results of different biological samples</p> <p><strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining</p> <p><strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN</p>
NMR and HRMS raw data for "Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer metabolic networking"
<p>Raw NMR data and HRMS data for synthesized compounds</p>
Omics multi-layers networks and identification of the key genes and miRNAs involved in fat storage and metabolism: systems biology approach
GEO Series GSE122224. Gallus gallus. 6 samples. Type: Expression profiling by high throughput sequencing.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach [scRNA-seq]
GEO Series GSE173457. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach [scATAC-seq]
GEO Series GSE173458. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach
GEO Series GSE173460. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
GRNsmile: gene regulatory network inference with a single-cell multi-layer omics approach [Micro-C]
GEO Series GSE173459. Homo sapiens. 6 samples. Type: Other.
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.