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685
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Dataset results
685 results for “errors”
Genome-wide assessments of transcriptional pauses and errors by nascent transcript sequencing combined with RNase footprinting (RNET-seq)
GEO Series GSE62102. Escherichia coli. 2 samples. Type: Expression profiling by high throughput sequencing.
A multimorphic variant in ThPOK causes an inborn error of immunity with T cell defects and fibrosis [T cells]
GEO Series GSE291518. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Anchor-Enhanced Bead Design for Reduced Oligonucleotide Synthesis Errors in Single-cell sequencing
GEO Series GSE263458. Homo sapiens; Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Role for NF-kB in herpes encephalitis pathology in mice genocopying an inborn error of IRF3-IFN immunity
GEO Series GSE305693. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Comparison of systematic sequencing errors using spike-in standards
GEO Series GSE36217. Homo sapiens. 6 samples. Type: Other.
SPT6-driven error-free DNA repair safeguards genomic stability of glioblastoma cancer stem-like cells
GEO Series GSE125621. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
A stress-induced error prone 3' flap-based Okazaki fragment maturation pathway creates internal tandem duplications for cell survival
GEO Series GSE178876. Saccharomyces cerevisiae. 17 samples. Type: Expression profiling by high throughput sequencing; Other.
A multimorphic variant in ThPOK causes an inborn error of immunity with T cell defects and fibrosis [fibroblasts]
GEO Series GSE291517. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
High-throughput error corrected Nanopore single cell transcriptome sequencing
GEO Series GSE130708. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
CHD1 loss sensitizes prostate cancer to DNA damaging therapy by promoting error-prone double-strand break repair
GEO Series GSE84610. Homo sapiens; Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Analysis of the miR-34 family functions in breast cancer reveals annotation error of miR-34b
GEO Series GSE98601. Homo sapiens. 12 samples. Type: Expression profiling by array.
"4XX Client Error: Eventual Connectivity Issues in Android Apps" Complementary Material
<p>PDFs containing the details of the scenarios defined and executed for the research on Eventual Connectivity Issues in Android Apps, this research results are presented in the "4XX Client Error: Eventual Connectivity Issues in Android Apps" paper that is under revision.</p>
Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance
<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement, are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K., Simons-Legaard, E., Weiskittel, A., Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>
The error in Bayesian phylogenetic reconstruction under diversification dynamics with simultaneous speciation events
<p>Dataset for 'The error in Bayesian phylogenetic reconstruction under diversification dynamics with simultaneous speciation events', by Laudanno, Bilderbeek & Etienne</p>
Machine-learning method for predicting the scanning parameters influence on random measurement error
<p>Data acompaniing the study.</p>
Data from: Estimating genotyping errors from genotype and reconstructed pedigree data
1. Genotyping errors are rules rather than exceptions in reality, and are found in virtually all but very small datasets. These errors, even when occurring at an extremely low rate, can derail many genetic analyses such as parentage/sibship assignments and linkage/association studies. 2. Nonetheless, few robust and accurate methods are available for estimating the rate of occurrence of genotyping errors and for identifying individual erroneous genotypes at a locus. Methods based on duplicate genotyping are expensive, and estimate genotype inconsistency rather than error rate at a locus. Methods based on Hardy-Weinberg equilibrium tests have low robustness and low power, and apply only to those particular errors that cause excessive homozygosity. Methods based on pedigrees are powerful, robust and accurate. However, they rely on known and complete pedigrees that are unfortunately rarely available from natural populations in the wild. 3. I proposed a maximum likelihood method to reconstruct pedigrees from genotype data with errors occurring at a roughly estimated (presumed) rate. In this paper, I describe how to use the method and inferred pedigree in estimating allelic dropout (or null allele) rate and false allele rate jointly at each marker locus, in identifying the erroneous genotypes, and in inferring the most likely genotypes at each locus of each individual. I examine the power, accuracy and robustness of the method by extensive simulations, and demonstrate the usefulness of the method by analysing three empirical datasets. 4. It is concluded that, both pedigrees and the rates of genotyping errors at each locus can be reliably estimated from the same genotype data by the same likelihood method, when marker information is sufficient and some sampled individuals are first-degree relatives. The erroneous genotypes are however inferred conservatively, and are reliably detected only when they occur in large families and/or at highly polymorphic loci. Estimation of genotyping error rates per locus and identification of erroneous genotypes of each individual at each locus should be routinely conducted to assess and improve data quality, to highlight markers for optimization of genotyping protocols or for replacement, and to enable the integration of genotyping errors in a robust statistical analysis.
Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
Modulation of frontal midline theta (fmθ) is observed during error commission, but little is known about the role of theta oscillations in correcting motor behaviours. We investigate EEG activity of healthy partipants executing a reaching task under variable degrees of prism-induced visuo-motor distortion and visual occlusion of the initial arm trajectory. This task introduces directional errors of different magnitudes. The discrepancy between predicted and actual movement directions (i.e. the error), at the time when visual feedback (hand appearance) became available, elicits a signal that triggers on-line movement correction. Analysis were performed on 25 EEG channels. For each participant, the median value of the angular error of all reaching trials was used to partition the EEG epochs into high- and low-error conditions. We computed event-related spectral perturbations (ERSP) time-locked either to visual feedback or to the onset of movement correction. ERSP time-locked to the onset of visual feedback showed that fmθ increased in the high- but not in the low-error condition with an approximate time lag of 200 ms. Moreover, when single epochs were sorted by the degree of motor error, fmθ started to increase when a certain level of error was exceeded and, then, scaled with error magnitude. When ERSP were time-locked to the onset of movement correction, the fmθ increase anticipated this event with an approximate time lead of 50 ms. During successive trials, an error reduction was observed which was associated with indices of adaptations (i.e., aftereffects) suggesting the need to explore if theta oscillations may facilitate learning. To our knowledge this is the first study where the EEG signal recorded during reaching movements was time-locked to the onset of the error visual feedback. This allowed us to conclude that theta oscillations putatively generated by anterior cingulate cortex activation are implicated in error processing in semi-naturalistic motor behaviours.
EXPLICIT MULTIDIMENSIONAL INTERPOLATION AND ITS ERROR
Open the record for dataset details and reuse information.
msd-errors - Data for the shorter AgCrSe2 figures
Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures where only some subset of the full simulation is analysed.<br><br>Created using <a href="https://github.com/rodluger/showyourwork">showyourwork</a> from <a href="git@github.com:arm61/msd-errors/tree/fc1f0cb96213ea5d811087618920b879fea11e9a">this GitHub repo</a>.
msd-errors - Data for scaling figures
Data for a figure that shows the scaling of uncertainty as a function of simulation length and number of atoms and step size, for both true and anitcorrelated random walks. This compares the kinisi approach (on just 32 unique walks) with the numerical values from (1024 unique walks). <br><br>Created using <a href="https://github.com/rodluger/showyourwork">showyourwork</a> from <a href="git@github.com:arm61/msd-errors/tree/6c81f0e8e5ee08bb2eaebd520ceb59213c5026f5">this GitHub repo</a>.
ScienceDex guides
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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.