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9 results for “sounding observation”
EVEX rocket experiment: sounding rocket and C/NOFS satellite observations in equatorial regions of the ionosphere at sunset
<p>These data files support the JGR: Space Physics article by Pfaff, R. et al. (2022) entitled "Dual sounding rocket and C/NOFS satellite observations of DC electric fields and plasma density in the equatorial E and F region ionosphere at sunset".</p>
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinty<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Long Island Sound (LIS) is a large estuary on the eastern United States coast. Seasonal variations <br> in solar insolation and wind create an annual water temperature cycle that impacts circulation <br> and biological processes. The waters warm from March-February until August-October and then <br> begins to cool. Ship surveys show that the vertical temperature structure becomes uniform during <br> this season when the area experiences low air temperatures and high winds. However, there have <br> been no observations that resolve the temporal evolution of the vertical structure of temperature <br> during these cooling periods because conditions inhibit ship operations. We report glider <br> measurements of the vertical structure of water temperatures and salinities from October 22 to <br> November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 <br> C/day intervals of cold air and strong winds. We use the data to estimate heat content tendencies <br> and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted <br> instruments and the COARE 3.0/3.5 formulae and show they are consistent. Using the buoy <br> fluxes and the products of an operation regional model, we show the agreement with the heat <br> budget fluxes is best when the closest buoy and the model results are used. This suggests that <br> resolving the temporally and spatially structure of the wind field is crucial to the accurate <br> simulation of the temperature variability in LIS. These intervals of very rapid cooling can lead to <br> significant density gradients between LIS and the shallow bays and marshes that surround it.</p>
VISIONS-1 rocket experiment: Sounding rocket observations in the auroral zone at night following a substorm.
<p>These data files support the Frontiers in Astrophysics and Space Sciences article by Rowland, D. E., et al. (2022) entitled “Imaging Low-Energy Ion Outflow in the Auroral Zone”.</p>
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinity<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Seasonal variations in solar insolation and wind create an annual water temperature cycle that impacts circulation and biological processes. The waters of Long Island Sound (LIS) warm from March-February until August-October and then begin to cool. Ship surveys show that the vertical temperature structure becomes almost uniform during this season when the area experiences low air temperatures and high winds. However, no observations have resolved the temporal evolution of the vertical structure of temperature during these cooling periods because conditions inhibit ship operations. We report glider measurements of the vertical structure of water temperatures and salinities from October 22 to November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 C/day during intervals of cold air and strong winds. We use the data to estimate heat content tendencies and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted instruments and show they are consistent. The net heat flux to the atmosphere exceeds 600 W/m<sup>2</sup> during the gilder deployment and approximately 66% of this is due to latent heat transfer. Using the buoy fluxes and products of an operation regional model, we show that the agreement with the fluxes derived from heat budget is improved by using local wind observations. In addition to confirming the extremely large cooling rates, our results demonstrate that gliders can be used in a complex region with strong tidal currents to resolve the temperature structure and heat budget during the severe weather of the cooling season.</p> <p> </p>
Joint Use of Far-Infrared and Mid-Infrared Observation for Sounding Retrievals: Learning from the Past for Upcoming Far-Infrared Missions
<p>Dataset and software (Matlab) used for the analysis of synoptic weather pattern, information content and retrieval estimates</p>
Sentinel Node Vs Observation After Axillary Ultra-souND
ClinicalTrials.gov study NCT02167490. IPD Sharing: Not stated. Countries: 4. Publications: 16.
Sacral Neuromodulation With InterStim® Therapy for Intractable Urinary Voiding Dysfunctions (SOUNDS): an Observational Study
ClinicalTrials.gov study NCT02186041. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Observational Data for Lidar and GPS soundings
Open the record for dataset details and reuse information.
The Long Island Sound Coastal Observational (LISCO) platform
The Long Island Sound Coastal Observational platform (LISCO) near Northport, New York, has both multispectral and hyperspectral radiometers for ocean color measurements to support satellite data validation.
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.