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ShareScore release 0.9.0
Dataset results
7 results for “Noise removal”
Structured noise Convallaria dataset for structured noise removal benchmark as used in StructN2V paper
<p>Structured Convallaria dataset for structured noise removal benchmark as used in StructN2V paper (https://www.frontiersin.org/articles/10.3389/fcomp.2020.00005/full)</p>
Long-term noise pollution affects seedling recruitment, community composition, and negative effects persist after removal
Open the record for dataset details and reuse information.
Removing System Noise from Comparative Genomic Hybridization Data by Self-Self Analysis
GEO Series GSE23682. Homo sapiens. 3852 samples. Type: Genome variation profiling by genome tiling array.
The effect of background noise and its removal on the analysis of single-cell expression data
GEO Series GSE218853. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
The Study is About the influence of the Combination of Music and Noise Cancelling as a Non-pharmacological Aid in Reducing Anxiety and Discomfort During Wisdom Tooth Removal. The Level of Fear is Measu
ClinicalTrials.gov study NCT06688877. IPD Sharing: NO. Countries: 1. Publications: 0.
Removing Background Talker Noise for Cochlear Implant Users
ClinicalTrials.gov study NCT04777669. IPD Sharing: NO. Countries: 1. Publications: 0.
Removing Spikes While Preserving Data and Noise using Wavelet Filter Banks
Many diagnostic datasets suffer from the adverse effects of spikes that are embedded in data and noise. For example, this is true for electrical power system data where the switches, relays, and inverters are major contributors to these effects. Spikes are mostly harmful to the analysis of data in that they throw off real-time detection of abnormal conditions, and classification of faults. Since noise and spikes are mixed together and embedded within the data, removal of the unwanted signals from the data is not always easy and may result in losing the integrity of the information carried by the data. Additionally, in some applications noise and spikes need to be filtered independently. The proposed algorithm is a multi-resolution filtering approach based on Haar wavelets that is capable of removing spikes while incurring insignificant damage to other data. In particular, noise in the data, which is a useful indicator that a sensor is healthy and not stuck, can be preserved using our approach. Presented here is the theoretical background with some examples from a realistic testbed.
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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.