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109 results for “anomalous”
Investigation of anomalous transport in the lower thermosphere Project
<p align="LEFT"> &nbsp;</p> <p> <font size="3">Near-simultaneously deployed chemical tracer trails over an extended horizontal range will be used to obtain measurements of the turbulent structure function and (the pair) relative velocity distribution over a range of spatial scales covering a full decade. </font></p> <p> <font size="3">Trimethyl aluminum trails (TMA) released in the mesosphere and lower thermosphere have been used to trace the neutral motions over 500 times since 1958. Such releases are a simple and reliable method for obtaining horizontal velocities with good accuracy and height resolution. Deriving the diffusion characteristics is more difficult but two detailed studies of the expansion rates have been carried out. Analyses from the earlier experiments show enhanced or anomalous diffusion rates in a 10 to 15 km altitude range above the turbopause. (MAJOR)</font></p> <p> <font size="3">Even if only partially successful, this study is expected to contribute significantly to our understanding of turbulent motions in the atmosphere as turbulence at small scales is currently poorly understood. (MINOR)</font></p> <p> &nbsp;</p>
Anomalous reverse transcription through chemical modifications in polyadenosine stretches
GEO Series GSE149061. Human immunodeficiency virus; synthetic construct. 3 samples. Type: Other.
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
The worldwide civilian aviation system is one of the most complex dynamical systems created. Most modern commercial aircraft have onboard flight data recorders that record several hundred discrete and continuous parameters at approximately 1Hz for the entire duration of the flight. These data contain information about the flight control systems, actuators, engines, landing gear, avionics, and pilot commands. In this paper, recent advances in the development of a novel knowledge discovery process consisting of a suite of data mining techniques for identifying precursors to aviation safety incidents are discussed. The data mining techniques include scalable multiple-kernel learning for large-scale distributed anomaly detection. A novel multivariate time-series search algorithm is used to search for signatures of discovered anomalies on massive datasets. The process can identify operationally significant events due to environmental, mechanical, and human factors issues in the high-dimensional flight operations quality assurance data. All discovered anomalies are validated by a team of independent domain experts. This novel automated knowledge discovery process is aimed at complementing the state-of-the-art human-generated exceedance-based analysis that fails to discover previously unknown aviation safety incidents. In this paper, the discovery pipeline, the methods used, and some of the significant anomalies detected on real-world commercial aviation data are discussed.
Data for 'Springtime sea fog penetration in Qingdao: anomalous moistening and diurnal cooling'
<p>This page links to the data associated with the publication Song et al. " Springtime sea fog penetration in Qingdao: anomalous moistening and diurnal cooling ".</p> <p>The dataset contains the observations from automatic weather staions and soundings in 48 sea fog penetration events in Qingdao from 2014-2018.</p>
Data from: Modeling 2020 regulatory changes in international shipping emissions helps explain 2023 anomalous warming
Open the record for dataset details and reuse information.
Raw Data of "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred‐Nanometer Thickness"
<p>Raw data for "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred‐Nanometer Thickness"".</p> <p>In addition to the raw data (zip folder), we have also attached 6 Origin files that demonstrate how we processed the dilution fridge data presented in this work.</p>
2.2 Å resolution anomalous diffraction data of Vibrio alkaline phosphatase, crystallised in 1.0 M NaCl
<p>2.20 Å resolution anomalous diffraction dataset for <em>Vibrio</em> alkaline phosphatase, crystallised in 1.0 M NaCl. Data were collected with an X-ray energy of 6 keV at the P14 beamline at the DESY-PETRA III synchrotron in Hamburg, Germany. This dataset was used to estimate the location of chloride ions bound to the enzyme. "NaClAnon.hkl" is the final non-merged anomalous reflection file from data processing in XDS and XSCALE.</p>
Raw data for 'Anomalous metals: From "failed superconductor" to "failed insulator"'
<p>Raw data in compressed form for 'Anomalous metals: From "failed superconductor" to "failed insulator"'.</p> <p>Please check readme.txt for data format information.</p>
2.45 Å resolution anomalous diffraction data of Vibrio alkaline phosphatase, crystallised in 0.5 M NaCl
<p>Long wavelength (2.066 Å/6 keV) diffraction data collected from a <em>Vibrio</em> alkaline phosphatase crystal grown in 0.5 M NaCl. The data set includes the raw diffraction images ("SiM59anom_001_data_000001.zip"), the processed unmerged reflections ("SiM59anom_05NaClVAP.hkl"), a derived ccp4 anomalous map ("SiM59anom_map_coeffs_anom.ccp4") and the refined electron density and coordinates ("SiM59anom-coordinates.pdb" and "SiM59anom-reflections.mtz"). Also included are processing files from XDS and XSCALE.The diffraction data was collected at the P11 beamline (DESY, Hamburg) on the 20th of April 2020. </p>
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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.