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32
datasets available to search
ShareScore release 0.9.0
Dataset results
32 results for “Mapping damage”
Genome-wide Maps of Alkylation Damage, Repair, and Mutagenesis in Yeast Reveal Mechanisms of Mutational Heterogeneity
GEO Series GSE98031. Saccharomyces cerevisiae. 12 samples. Type: Other.
Nick-seq for singlenucleotide resolution genomic maps of DNA modifications and damage:nickase mapping
GEO Series GSE138173. Escherichia coli str. K-12 substr. DH10B. 7 samples. Type: Other.
Nucleotide resolution genome-wide mapping of 8-oxoG damage
GEO Series GSE112212. Saccharomyces cerevisiae BY4741. 3 samples. Type: Other.
Mapping and Quantification of Genome-wide DNA Damages by Catechol Estrogens Using Click probe-Seq and LC/MS2: Unraveling Endogenous Genotoxicity Beyond Receptor-mediated Signaling
GEO Series GSE279116. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
eXcision Repair-sequencing (XR-seq) to map UV induced damage in U2OS cells and in U2OS cells in which CSA or UVSSA genes were knocked out
GEO Series GSE132840. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide mapping of DNA damage hotspots in response to various replication stressors
GEO Series GSE113020. Homo sapiens. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
CPD-seq mapping of UV damage repair in elf1 mutant yeast
GEO Series GSE149082. Saccharomyces cerevisiae. 6 samples. Type: Other.
Cisplatin DNA Damage and Repair Maps of the Human Genome at Single-nucleotide Resolution
GEO Series GSE82213. Homo sapiens. 14 samples. Type: Other.
CPD-seq map of UV damage formation in isolated human genomic DNA
GEO Series GSE162125. Homo sapiens. 1 samples. Type: Other.
Dual Chemical Labeling Enables Nucleotide-Resolution Mapping of DNA Abasic Sites and Common Alkylation Damage in Human Mitochondrial DNA
GEO Series GSE213585. Homo sapiens. 12 samples. Type: Other.
DYNAMIC STRAIN MAPPING AND REAL-TIME DAMAGE STATE ESTIMATION UNDER BIAXIAL RANDOM FATIGUE LOADING
DYNAMIC STRAIN MAPPING AND REAL-TIME DAMAGE STATE ESTIMATION UNDER BIAXIAL RANDOM FATIGUE LOADING SUBHASISH MOHANTY*, ADITI CHATTOPADHYAY*, JOHN N. RAJADAS**, AND CLYDE COELHO* Abstract. Fatigue damage and its prediction is one of the foremost concerns of structural integrity research community. The current research in structural health monitoring (SHM) is to provide continuous (or on demand) information about the state of a structure. The SHM system can be based on either active or passive sensor measurements. Though the current research on ultrasonic wave propagation based active sensing approach has the potential to estimate very small damage, it has severe drawbacks in terms of low sensing radius and external power requirements. To alleviate these disadvantages passive sensing based SHM techniques can be used. Currently, few efforts have been made towards, time-series fatigue damage state estimation over the entire fatigue life (stage-I, II & III). A majority of the available literature on passive sensing SHM techniques demonstrates the clear trend in damage growth during the final failure regime (stage-III regime) or during when the damage is comparatively large enough. The present paper proposes a passive sensing technique that demonstrates a clear trend in damage growth almost over the entire stage-II and III damage growth regime. A strain gauge measurement based passive SHM frameworks that can estimate the time-series fatigue damage state under random loading is proposed. For this purpose, a Bayesian Gaussian process nonlinear dynamic model is developed to map the reference condition dynamic strain at a given instant of time. The predicted strains are compared with the actual sensor measurements to estimate the corresponding error signals. The error signals estimated at two different locations are correlated to estimate the corresponding fatigue damage state. The approach is demonstrated for an Al-2434 complex cruciform structure applied with biaxial random loading.
Genome-wide maps of UV damage repair by yeast CPD photolyase
GEO Series GSE280082. Saccharomyces cerevisiae. 12 samples. Type: Other.
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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.