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52
datasets available to search
ShareScore release 0.9.0
Dataset results
52 results for “strain mapping”
Open chromatin maps of genetically different yeast strains
GEO Series GSE33466. Saccharomyces cerevisiae. 96 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Spo11-oligo mapping in wild type S. cerevisiae strain
GEO Series GSE119689. Saccharomyces cerevisiae. 4 samples. Type: Other.
Association of T1-mapping and LV Strain Analysis by CMR
ClinicalTrials.gov study NCT03405987. IPD Sharing: NO. Countries: 1. Publications: 0.
Transcriptome analysis and 5‘-end mapping of total RNA from Rhodobacter sphaeroides wild type and RNase E (rne) mutant strain, grown under aerobic, microaerobic or phototrophic conditions
GEO Series GSE200990. Cereibacter sphaeroides. 18 samples. Type: Expression profiling by high throughput sequencing.
Data from: Segregation of a QTL cluster for home-cage activity using a new mapping method based on regression analysis of congenic mouse strains
Open the record for dataset details and reuse information.
Genome-wide maps of GFPyTBP (ChIP-seq) in yeast kap114-KO SC1005 strains
GEO Series GSE217150. Saccharomyces cerevisiae. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Identification of cancer modifiers using parental strain expression mapping
GEO Series GSE7270. Mus musculus. 24 samples. Type: Expression profiling by array.
Spo11-oligo mapping in Saccharomyces species (S. paradoxus, S. mikatae, S. kudriavzevii) and wild-derived S. cerevisiae strains (YPS128, UWOPS03-461.4)
GEO Series GSE71887. Saccharomyces cerevisiae; Saccharomyces kudriavzevii; Saccharomyces mikatae; Saccharomyces paradoxus. 10 samples. Type: Other.
High-Resolution Transcriptome Maps Reveal Strain-Specific Regulatory Features of Multiple Campylobacter jejuni Isolates
GEO Series GSE38883. Campylobacter jejuni RM1221; Campylobacter jejuni subsp. jejuni NCTC 11168 = ATCC 700819; Campylobacter jejuni subsp. jejuni 81116; Campylobacter jejuni subsp. jejuni 81-176. 16 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide maps of chromatin state (H3K9me2 or CENP-A/Cnp1) in wt strains carrying the inactivated Centromere 1 or 2 or Cnp1 spreading with ura4 inserted into the right side of the repetitive sequenc
GEO Series GSE131225. Schizosaccharomyces pombe. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mutation Mapping of 31 Streptococcus suis strains
GEO Series GSE26052. Streptococcus suis; Streptococcus suis GZ1. 31 samples. Type: Genome variation profiling by genome tiling array.
Comparison of nucleotide-resolution, genome-wide transcriptome maps of Escherichia coli K12 strain BW25113 and Streptomyces coelicolor A3(2) strain M145.
GEO Series GSE46232. Streptomyces coelicolor A3(2); Escherichia coli K-12. 2 samples. Type: Expression profiling by high throughput sequencing.
MATT mapping of Transposon insertions sites of strain G27 GPS-cat library
GEO Series GSE3197. Helicobacter pylori. 43 samples. Type: Genome variation profiling by array.
Genome-wide mapping of Cnp1 of wild-type and various deletion strains in fission yeast.
GEO Series GSE106232. Schizosaccharomyces pombe. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide maps of Spt6 occupancy in yeast strains with mutations in Spt6 and Rpb1
GEO Series GSE98405. Nakaseomyces glabratus; Saccharomyces cerevisiae. 60 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide maps of histone H3K9 acetylation in the mouse strains C57BL/6J, MSM/Ms, and their F1 hybrids
GEO Series GSE156316. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide mapping of H3K9me2 of wild-type and various deletion strains in fission yeast.
GEO Series GSE95043. Schizosaccharomyces pombe. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide maps of H3 and H4 acetylation in wild type and gds1 deletion strain of S.cerevisiae.
GEO Series GSE185227. Saccharomyces cerevisiae. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
High-resolution mapping of budding yeast Nab3, Nrd1, and RNA polymerase II by CRAC in wild-type and rrp6∆ strains.
GEO Series GSE137881. Saccharomyces cerevisiae. 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.
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.