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1,600 results for “input”
Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the Remaining Useful Life of Nonlinear Systems
This paper presents a novel set of uncertainty measures to quantify the impact of input uncertainty on nonlinear prognosis systems. A Particle Filtering-based method is also presented that uses this set of uncertainty measures to quantify, in real time, the impact of load, environmen- tal, and other stresses for long-term prediction. Further- more, this work shows how these measures can be used to implement a novel feedback correction loop aimed to suggest modifications, at a system input level, with the purpose of extending the remaining useful life of a faulty nonlinear, non-Gaussian system. The correction scheme is tested and illustrated using real vibration feature data from a fatigue-driven fault in a critical aircraft compo- nent.
Hipparcos Input Catalog
This database table contains the Hipparcos Input Main Cataloge of 118209 stars. The Hipparcos Input Catalogue was constructed as the observing program for the European Space Agency's Hipparcos astrometry mission. The requirements of the project in terms of completeness, sky coverage, astrometric and photometric accuracy, as well as the necessary optimization of the scientific impact, resulted in an extended effort to compile and homogenize existing data, to clarify sources and identifications, and, where needed, to collect new data matching the required accuracy. This has resulted in an unprecedented catalog of stellar data including up-to-date information of positions, proper motions, magnitudes and colors, and (wherever available) spectral types, radial velocities, multiplicity and variability information. The catalog is complete to well-defined magnitude limits and includes a substantial sampling of the most important stellar categories present in the solar neighborhood beyond these limits. The magnitudes vary from 7.3 to 9 mag as a function of galactic latitude and spectral type, and there are no stars fainter than about V=13 mag. The 118209 stars of the Hipparcos Input Catalogue were selected from some 214000 distinct candidates contained in some 214 observations programs. This is a service provided by NASA HEASARC .
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types [organoids]
GEO Series GSE148090. Mus musculus. 31 samples. Type: Expression profiling by high throughput sequencing.
Optimization of NaIO4 Oxidation and Deep-sequencing Methodology for Detection of 3' End Methylation of Small RNAs in low-input RNA Samples
GEO Series GSE130106. Mus musculus. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
m6A sequences 2 WT_input vs 2 Ythdf1 KO_input
GEO Series GSE281731. Mus musculus. 4 samples. Type: Other.
Influence of low-input RNA from FF and FFPE samples on gene expression quantification by NanoString, microarray and RNA-seq: a comparative study [RNA-seq]
GEO Series GSE117677. Mus musculus. 66 samples. Type: Expression profiling by high throughput sequencing.
Low-input unstranded RNA sequencing on bulk tumor or FACS isolated tumor cells from known rhabdomyosarcoma models [Low-input_BulkRNAseq]
GEO Series GSE231917. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types [HEK Kinetic]
GEO Series GSE183689. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Inhibition of sphingosine metabolism suppresses ferroptosis and rejuvenates aged hematopoietic stem cells to promote cognition and longevity [Low input RNA-seq]
GEO Series GSE287181. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome-wide N6-methyladenine profiling in low input multiplex samples by a kit-free multi-barcode method
GEO Series GSE185749. Homo sapiens; Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Multi-Omics Analysis of Low-input cells by Omics Carrier Microparticle [transcriptome sequencing]
GEO Series GSE267260. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional profiling of cells in the dorsal striatum of Drd1-TRAP (CP73) mice: input data
GEO Series GSE142142. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Low input RNA-seq of HSCs.
GEO Series GSE202142. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types
GEO Series GSE148093. Mus musculus; Homo sapiens. 219 samples. Type: Expression profiling by high throughput sequencing.
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types [split organoids]
GEO Series GSE183692. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing analysis of IP (with GFP antibody) and Input samples of the mPFC of stressed DBA mice expressing GFP-L10a
GEO Series GSE238142. Mus musculus. 60 samples. Type: Expression profiling by high throughput sequencing.
Profiling R loop in cd34+ and ckit+ of mouse and human hematopietic cells input using S9.6 antibody coupled cut&tag [single cell]
GEO Series GSE236217. Homo sapiens; Mus musculus. 4 samples. Type: Other.
Low input RNA-seq of endothelial cells sorted from tail of zebrafish larvae
GEO Series GSE229261. Danio rerio. 6 samples. Type: Expression profiling by high throughput sequencing.
Low-input, deterministic profiling of single-cell transcriptomes reveals individual intestinal organoid subtypes comprised of single, dominant cell types [Intestinal crypts]
GEO Series GSE183691. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Deciphering Runx1 interacted RNAs during definitive hematopoiesis by ultra-low-input RIP-seq
GEO Series GSE211847. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
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.