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8,460
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ShareScore release 0.9.0
Dataset results
8,460 results for “MONITORING”
Circulating tumor DNA for monitoring classic Hodgkin lymphoma patients: correlation with FDG-PET/CT
GEO Series GSE244989. Homo sapiens. 142 samples. Type: Genome variation profiling by high throughput sequencing.
Multi-omics monitoring of drug response in rheumatoid arthritis.
GEO Series GSE93777. Homo sapiens. 448 samples. Type: Expression profiling by array.
Tumor-educated platelet RNA for the detection and (pseudo)progression monitoring of glioblastoma
GEO Series GSE156902. Homo sapiens. 804 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide monitoring of gene expression in Saccharomyces cerevisiae upon KP1019 treatment
GEO Series GSE76985. Saccharomyces cerevisiae; Schizosaccharomyces pombe. 4 samples. Type: Expression profiling by array.
Time-Resolved Gene Expression Analysis Monitors the Regulation of Inflammatory Mediators and Attenuation of Adaptive Immune Response by Vitamin D
GEO Series GSE189984. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Mining the Human Urine Proteome for Monitoring Renal Transplant Injury
GEO Series GSE75693. Homo sapiens. 79 samples. Type: Expression profiling by array.
Real-time Monitoring of Cisplatin Toxicity on Cancer Cells
GEO Series GSE28274. Homo sapiens. 6 samples. Type: Expression profiling by array.
A Transcriptome Fingerprinting Assay for Clinical Immune Monitoring
GEO Series GSE100150. Homo sapiens. 985 samples. Type: Expression profiling by array.
Monitoring the differential expression of miRNAs, tRNAs and tRFs in lung cancer biopsies.
GEO Series GSE143694. Homo sapiens. 19 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
ACE Electron Proton Alpha Monitor (EPAM) Hourly-Averaged Flux Data
This descriptor identifies an ensemble of 26 data sets of hourly-averaged, background-corrected energetic particle fluxes. Various data sets have fluxes that are: spin-averaged or spin-sectored; if sectored then from one of four telescope apertures (LEMS30, LEFS60, LEMS120, LEFS150); of ~63-4430 keV protons or ~40-360 keV electrons or 100-6500 keV/n Z>1 ions where any one of these energy ranges is partitioned into 10-25 energy bins; in the spacecraft rest frame or solar wind rest frame. Each of the 26 data sets is individually described in the VHO/VEPO interface at https://vho.gsfc.nasa.gov.
Prognostic Techniques for Capacitor Degradation and Health Monitoring
This paper discusses our initial efforts in constructing physics of failure models for electrolytic capacitors subjected to electrical stressors in DC-DC power converters. Electrolytic capacitors and MOSFET’s are known to be the primary causes for degradation and failure in DC-DC converter systems. We have employed a topological energy based modeling scheme based on the bond graph (BG) modeling language for building parametric models of multi-domain systems, such as motors and pumps. In previous work, we have conducted experimental studies to validate an empirical physics of failure model based on Arrhenius Law for equivalent series resistance (ESR) increase in electrolytic capacitors operating under nominal conditions. In this paper, our focus shifts to deriving first principle models of capacitor degradation that explain both the ESR increase and the decrease in capacitance over time when the capacitor is operated under electrical stress conditions. Experimental studies are run in parallel, and data collected from these studies are used to validate the generated models. In the future, they will also be used to compute model parameters, so that the overall goal of deriving accurate models of capacitor degradation, and using them to predict performance changes in DC-DC converters is realized.
Adaptive Contingency Control: Wind Turbine Operation Integrated with Blade Condition Monitoring
We report here on first steps towards integrating systems health monitoring with adaptive contingency controls. In the scenario considered, the adaptive controller receives specific information about damage to a blade and reacts to turbulent conditions where the blade might incur additional damage. The controller uses an observer to determine when the generator set point should be lowered, thereby causing the blades to be pitched at a lower wind speed. The loads on the blades are reduced when the blades are set at larger pitch angles. This is meant to decrease the damage propagation. The adaptive contingency controller can be tuned to find the optimal trade-off between maximized damage suppression and maximized power generation. Future work will address the assessment of blade health in the presence of turbulent wind conditions.
MSL MARS ROVER ENV MONITORING STATION 5 UVRDR V1.0
UV fluxes measured by the UV sensor of the Rover Environmental Monitoring Station (REMS) aboard the Mars Science Laboratory in physical units, with corrections and modeling.
Swift BAT Transient Monitoring Catalog
The SWBATMONTR database table records high-level information of the lightcurves from the sources monitored with the Burst Alert Telescope (BAT) on board of Swift. The Swift/BAT Monitoring Program is aimed at (1) the discovery of new transient X-ray sources, (2) the detection of outbursts or other changes in the flux of known X-ray sources, and (3) the generation of lightcurves of more than 1000 sources spanning the entire Swift lifetime. Swift is a NASA mission with international participation dedicated to the gamma-ray burst study. It carries three instruments. The BAT is the large field of view instrument and operates in the 10-300 keV energy band; and two narrow field instruments, XRT and UVOT, that operate in the X-ray and UV/optical regime, respectively. The BAT monitoring the sky in the field of view and provides alerts when detecting a burst of flux coming from a source in the field of view. The BAT monitoring lightcurves are generated by the BAT team over the course of the Swift mission. The HEASARC ingests these data in the archive and generates this database table by collecting high-level information from the data. The lightcurves are renamed to use a consistent naming convention, and the FITS header is updated by adding standard FITS keywords. This is a service provided by NASA HEASARC .
ACE Solar Wind Electron Proton Alpha Monitor (SWEPAM) 64-Second Level 2 Data
Solar Wind Ion parameters from ACE/SWEPAM. Level 2 data, 64-second averages. Parameters include proton density, temperature (radial component) and flow speed, flow velocity vector in GSE, GSM and RTN coordinates, and alpha to proton density ratio. ACE position vectors in GSE and GSM are included. The data are accessible via ftp in HDF and CDF from the ACE Science Center and CDAWeb, respectively, and in ASCII format from the value-added interfaces at those sites. Hourly averaged L2 plasma parameters are also available from these access paths. The "parameter keys" given below are as used by CDAWeb.
ACE Electron Proton Alpha Monitor (EPAM) 17-min-Averaged Flux Data
This descriptor identifies an ensemble of 26 data sets of 17-min-averaged, background-corrected energetic particle fluxes. Various data sets have fluxes that are: spin-averaged or spin-sectored; if sectored then from one of four telescope apertures (LEMS30, LEFS60, LEMS120, LEFS150); of ~63-4430 keV protons or ~40-360 keV electrons or 100-6500 keV/n Z>1 ions where any one of these energy ranges is partitioned into 10-25 energy bins; in the spacecraft rest frame or solar wind rest frame. Each of the 26 data sets is individually described in the VHO/VEPO interface at https://vho.gsfc.nasa.gov.
Swift-XRT Monitoring of Fermi-LAT Sources of Interest
The monitoring data shown on this site provides near real-time results from Swift observations of Fermi-LAT "sources of interest" and flaring sources. While this list is dominated by blazars, some X-ray binaries and Galactic transients are also included. The preliminary results on this page are intended to provide rapid feedback to the scientific community to aid in target of opportunity planning, multiwavelength campaigns, and planning of interesting scientific publications.
MSL MARS ROVER ENV MONITORING STATION 4 ENVRDR V1.0
Data taken by the sensors of the Rover Environmental Monitoring Station (REMS) aboard the Mars Science Laboratory, in physical units.
Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams
In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the Large Synoptic Survey Telescopes (LSST). This telescope will take repeated images of the night sky every 20 s, thereby generating 30 terabytes of calibrated imagery every night that will need to be co-analyzed with other astronomical data stored at different locations around the world. Event detection, classification, and isolation in such data sets may provide useful insights to unique astronomical phenomenon displaying astrophysically significant variations: quasars, supernovae, variable stars, and potentially hazardous asteroids. However, performing such data mining tasks is a challenging problem for such high-throughput distributed data streams. In this paper, we propose a highly scalable and distributed asynchronous algorithm for monitoring the PCs of such dynamic data streams and discuss a prototype web-based system PADMINI (Peer-to-Peer Astronomy Data Mining) which implements this algorithm for use by the astronomers. We demonstrate the algorithm on a large set of distributed astronomical data to accomplish well-known astronomy tasks such as measuring variations in the fundamental plane of galaxy parameters. The proposed algorithm is provably correct (i.e., converges to the correct PCs without centralizing any data) and can seamlessly handle changes to the data or the network. Real experiments performed on Sloan Digital Sky Survey (SDSS) catalogue data show the effectiveness of the algorithm.
ACE Electron Proton Alpha Monitor (EPAM) 5-min Level 2 Data
ACE EPAM Electron Proton Alpha Monitor (EPAM) Level 2 intensities at 5-min time resolution. Calibrated science quality data. The data are accessible via ftp in HDF and CDF from the ACE Science Center and CDAWeb, respectively, and in ASCII format from the value-added interfaces at those sites. The "parameter keys" given below are as used by CDAWeb.
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.