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1,481 results for “data processing”
BARREL 2A Data Processing Unit (HKPG) Analog Housekeeping Voltage, Temperature, Current, and Payload Status, Level 2, 40 s Data
Housekeeping voltage, temperature, current, and payload status values returned every 40 s. NOTE: The analog sensor data in these records are based on the nominal BARREL housekeeping layout. Some payloads may have small differences that are not reflected here. If there is specific sensor data that you need that looks questionable, please contact the BARREL team for clarification.The BARREL Mission was a multiple-balloon investigation designed to study electron losses from Earth's Radiation Belts. Selected as a NASA Living with a Star Mission of Opportunity, BARREL was designed to augment the Radiation Belt Storm Probes, RBSP, mission by providing measurements of the spatial and temporal variations of electron precipitation from the radiation belts. The RBSP mission has since been renamed the Van Allen Probes mission. Each BARREL balloon carried an X-ray spectrometer to measure the bremsstrahlung X-rays produced by precipitating relativistic electrons as they collide with neutrals in the atmosphere, and a DC magnetometer to measure ULF-timescale variations of the magnetic field. BARREL observations collected near latitudes close to either the antarctic and arctic circles at stratospheric altitudes at about 30 km. The BARREL instrumentation provided the first balloon measurements of relativistic electron precipitation while comprehensive in situ measurements of both plasma waves and energetic particles were available. Also, the BARREL data has been used to characterize the spatial scale of precipitation at relativistic energies.The initial pair of balloon campaigns that were conducted initially during the Austral summer months of January and February of 2013 and 2014 with launches from two stations located in Antarctica: the British base located at Halley Bay on the Brunt Ice Shelf and the South African SANAE IV base (SANAE stand for South African National Antarctic Expedition) located in Vesleskarvet, Queen Maud Land. For the 2013 and 2014 the balloon campaigns, the launch plan was designed to maintain an array with about five payloads spread across about six hours of magnetic local time, MLT, in the region that magnetically maps to the radiation belts. Thus, the BARREL balloon constellation constituted an evolving and slowly moving array able to study relativistic electron precipitation from the radiation belts.Later campaigns were undertaken in 2015 and 2016 from the Esrange Space Center located in Kiruna, Sweden. The 2015 and 2016 campaigns were undertaken in coordination with the Van Allen Probes mission, the European Incoherent Scatter Scientific Association, EISCAT, incoherent scatter radar system, and other ground and space based instruments. Seven balloon launches occurred during the August 2015 BARREL campaign. A total of eight flights occurred during August 2016.Summing over the four BARREL campaigns, over 50 small, approximately 20 kg, stratospheric balloons were successively launched. The website creeated and hosted by A.J. Halford (see Information URL below) reports that: "By the end of the campaigns, there were over 90 researchers coordinating on a daily basis with the BARREL team working on 7 different satellite missions, 1 other balloon mission, and way too many ground based instruments to count." Although the BARREL mission launched only balloons during the years from 2013 to 2016, research using data collected on these flights is ongoing, so stay tuned for updates! All data and analysis software are freely available to the scientific community.The information listed above in this resource description was compiled by referencing several BARREL related resources including primarily the Millan et al. (2013) Space Science Reviews publication, the BARREL at Dartmouth mission web site, and the website maintained by A.J. Halford.The current release of all BARREL CDF data products are Version 10 files.BARREL will make all its scientific data products quickly and publicly available but all users are expected to read and follow the BARREL Data Usage Policy listed below.BARREL Data Usage PolicyBARREL data products are made freely available to the public and every effort is made to ensure that these products are of the highest quality. However, there may occasionally be issues with either the instruments or data processing that affect the accuracy of data. When possible, a quality flag is included in higher level data products, and known issues are posted in the BARREL data repository. You are also strongly encouraged to follow the guidelines below if you are planning a publication or presentation in which BARREL data are used. This will help you ensure that your science results are valid.* Users should always use the highest version numbers of data and analysis tools. Browse/quick-look plots are not intended for science analysis or publication and should not be used for those purposes without consent of the principal investigator, PI.* Users should notify the BARREL PI of the data use and investigation
Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis
GEO Series GSE237441. Homo sapiens. 72 samples. Type: Other.
Expression data from epithelial cells during the process of multistep pancreatic carcinogenesis
GEO Series GSE19650. Homo sapiens. 22 samples. Type: Expression profiling by array.
Expression data from Senescence Process of citrus
GEO Series GSE63706. Citrus sinensis; Citrus reticulata; Citrus unshiu; Citrus maxima. 96 samples. Type: Expression profiling by array.
Gene expression data of the adipogenesis process of mesenchymal stem cells derived from two different types of synovial membranes of German Landrace (DL) and Angeln Saddleback (AS) pigs.
GEO Series GSE232501. Sus scrofa. 72 samples. Type: Expression profiling by array.
data_processing
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ALGORITHM OF DATA PREPARATION FOR CREATION OF CURRENT BPMN MODEL OF ADMINISTRATIVE AND AUXILIARY PROCESSES OF TELECOMMUNICATION ORGANIZATIONS MANAGEMENT.
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DATA PRE-PROCESSING MECHANISM FOR ANALYSIS OF ECONOMIC INDICATORS
<p><em><span>This article examines today's digitization of the economy, ongoing research in this regard, computerization works in a specific area of the economy, economic analysis, issues of working with digital data in this regard.</span></em></p>
Delft3D FM Simulation Data, Drone Observations, and Post-processing Scripts for Tidal Jet Vortices over Complex Bathymetry
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Data analysis of the activities developed by teachers to understinds how inpiration can be supported during the conceptualization phase of the LD process
<p>This dataset contains the analysis of the material collected during the workshops conducted with teachers and TEL experts to understand how inspiration can be supported during the conceptualisation phase of the learning activity design process. It is part of a study by Calvera-Isabal M. (to be published). </p> <p>This work has been funded by PID2020-112584RB-C33 funded by MCIN/AEI/10.13039/501100011033, the CS Track project, EU Horizon 2020 programme [grant agreement No 872522], grant for activities to increase the social impact of research in 2021 from Universitat Pompeu Fabra (UPF) and H2O Learn project PID2020-112584RB-C33 funded by MCIN/ AEI / 10.13039/501100011033.</p> <p>Please contact miriam.calvera@upf.edu for data availability.</p>
A Layer Model for the Railway Infrastructure Design Process - Supplement Data
<p>This repository is the supplement data for the dissertation <em>"</em><em>A Layer Model for the Railway Infrastructure Design Process"</em>. The main result is the `schema/layer_model.json` file with the result of the dissertation in the <a href="https://json-schema.org">JSON Schema format</a>. The result was achieved by following the <a href="https://doi.org/10.2307/25148625">Design Science Research method</a>, which consists of cycles. The cycles are documented in the `DSR_cycles` folder and the git commits of this repository. The final result of the DSR cycles is an artefact in the `/` respectively the folders `data/layers`, `schema`, `src`, and `test`. <a href="https://julialang.org">Julia</a> and <a href="https://yaml.org">YAML</a> were used for data transformation and data input.</p>
Common Knowledge Processing Patterns in Networks of Different Systems Minimal Data Set
<p>Common Knowledge Processing Patterns in Networks of Different Systems Minimal Data Set</p>
Supporting data to A process-based model to track water pollutant generation at high resolution and its pathway to discharge
<p>This dataset includes parameters for point sources (industrial production, residential and commercial consumption) and activity data for artificial drainage activities. Please see the publication for more details.</p>
Data_Processing_notebooks
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Data set of flow-sediment processes in the Yarlung Zangbo River (2021)
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RNA-seq data is shaped in characteristic ways by polymerase processivities
GEO Series GSE84785. Mus musculus. 72 samples. Type: Other.
A post-processing algorithm for miRNA microarray data
GEO Series GSE138411. Homo sapiens; synthetic construct. 12 samples. Type: Non-coding RNA profiling by array.
Open chromatin and transcriptome analysis of iPSCs differentiated into lung epithelium at air-liquid interface reveals key transcriptional drivers and processes (ATAC-seq data)
GEO Series GSE136857. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Data from: Varying weed densities alters the corn transcriptome, highlighting a core set of weed-induced genes and processes with potential for manipulating weed tolerance
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BRIC-23 GeneLab Process Verification Test: Bacillus subtilis transcriptomic proteomic and metabolomic data
Microbes interact with humans in complex ways and understanding how they respond to the spaceflight environment is important to the success of future manned spaceflight missions. The BRIC-23 mission was designed to measure the response of Bacillus subtilis and Staphylococcus aureus to the spaceflight environment. This experiment aimed to produce high quality omics data from B. subtilis and S. aureus grown aboard the International Space Station (ISS) to allow comparison to matched ground controls. There were two primary objectives for this experiment: (1) Demonstrate all post-flight processes and operations required for successful completion of GeneLab Reference Missions conducted on ISS and (2) Generate high quality GeneLab Reference Mission omics data sets for two prokaryotic model organisms Bacillus subtilis and Staphylococcus aureus. Freezing Control Experiment: The BRIC hardware has significant thermal inertia thus the freezing rate of samples placed at -80 C is quite slow. This could affect RNA-sequencing proteomic and metabolic data sets. In an effort to understand how slow freezing could affect these data sets a control experiment was designed in which B. subtilis and S. aureus were grown in petri plates and either slow frozen to -80 C at a rate matching the BRIC-23 spaceflight samples or processed immediately to harvest RNA and protein.
ScienceDex guides
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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.