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113 results for “field campaign”
Marginal Ice Zone 2014 Field Campaign, Version 1
This data set contains ocean temperature, salinity, and wave data collected during a research initiative with the goal of understanding the physics that control sea ice breakup and melt in and around the sea ice edge. It was conducted by the U.S. Office of Naval Research (ONR) Marginal Ice Zone Departmental Research Initiative (DRI) program to better understand the atmosphere-ice-ocean interactions that are taking place as ice in the Beaufort Sea retreats in summer and a seasonal marginal ice zone (MIZ) evolves. The field program took place in the summer of 2014.
SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022
The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Level 1 data are available as compressed files containing graphics of the measurements alongside MATLAB and NetCDF files.
SASSIE Arctic Field Campaign L1 Wave Glider Data Fall 2022
The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. L1 data are available as a compressed file containing graphics of the measurements alongside MATLAB data files.
SPURS-2 shipboard disdrometer data for the E. Tropical Pacific field campaign
The SPURS-2 raindrop ODM-470 disdrometer dataset was collected from the ship during both the 2016 and 2017 cruises. Please see file global attributes and Klepp et al. (2015, 2018) for information on the disdrometer: http://dx.doi.org/10.1016/j.atmosres.2014.12.014, https://doi.org/10.1038/sdata.2018.122 . As explained in the references and global attributes, small drops that cause voltage drops < 0.12 V (i.e. drops with diameters < 0.44 mm) cannot be distinguished from noise by this instrument, and are thus missed. This undercounting of small drops cannot be corrected, and prevents accurate estimation of DSD parameters such as Nw, D0, Dm with any confidence or precision since the minimum detectable drop size is close to the median drop size of tropical oceanic rain (Thompson et al. 2015, https://doi.org/10.1175/JAS-D-14-0206.1). Nonetheless, this dataset provides estimates of drop counts as a function of drop size for the remaining rain drops > 0.44 mm in diameter, and their associated rain rates and liquid water contents. The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.
SASSIE Arctic Field Campaign Drifter Hydrography Data Fall 2022 Version 2p
The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature and salinity data collected by surface drifting buoys (called UpTempO or Hydrobuoys, interchangeably) deployed in the Beaufort Sea. Each buoy has a different configuration of sensors, and records to a maximum of 60 m depth. Drifters were left at sea after the completion of the field deployment and are recording data into March 2023. Version 2p data has major quality control performed. Data are available in netCDF format.
Saildrone Baja field campaign surface and ADCP measurements
Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone Baja campaign was a 60-day cruise from San Francisco Bay, down along the US/Mexico coast to Guadalupe Island and back again over the period 11 April 2018 to 11 June 2018. Repeat surveys were taken around NDBC moored buoys, and during the final week of the cruise a targeted front was sampled. Scientific objectives included studies of upwelling and frontal region dynamics, air-sea interactions, and diurnal warming effects, while its validation objectives included establishing the utility of data from the saildrone platform for assessment of satellite data accuracy and model assimilation. During the Baja campaign, the single deployed saildrone was equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone Baja dataset is comprised of one data file with the saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution. A second file contains the ADCP current vector data that is depth-resolved to 100m at 2m intervals and binned temporally at 5 minute resolution. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.
Switzerland 2022 Field Campaign - 360 degree Alpine Tethys rifted margin outcrops
<p>360 degree photospheres acquired during the summer data acquisition campaign targeting the pristine remnant outcrops of the Alpine Tethys rifted margins that are exposed in the Swiss Alps</p>
GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) V1
The GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) dataset consists of radiance, reflectance, water phase, and navigation data collected by the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) for the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). AVIRIS-NG is an imaging spectrometer that measures reflected radiance at 5 nm intervals in the Visible/Short-Wave Infrared (VSWIR) spectral range from 380-2,510 nm. AVIRIS-NG flew onboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. Data files in ASCII and BINARY formats are available for March 23 and 28, 2017.
Radar - wind profiler data of RACLETS field campaign
<p>Please contact Maxime Hervo from MeteoSwiss for information about the data set.</p>
LIDAR - Wind profiler data of RACLETS field campaign
<p>Please contact Maxime Hervo from MeteoSwiss for information about the data set.</p>
SWOT Postlaunch Oceanography Field Campaign L2 Moorings
The SWOT Postlaunch Oceanography Field Campaign L2 Moorings collection provides the surface air pressure, GPS, current velocity, and conductivity, temperature and depth (CTD) measurements from moorings at the L2 processing level. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California, including moorings at 11 distinct sites. The S2 mooring site had additional re-deployments from an otherwise independent project to study internal waves, the National Oceanographic Partnership Program – Global Internal Waves (NOPP-GIW), beyond the cal/val phase from September 2023 to October 2024. Data from NOPP-GIW are included in this collection, and described here, because they are closely related to the SWOT cal/val efforts. <br><br>L2 data are still at the native instrumental resolution in time and space. Data from multiple instruments may be merged into a single file at L2 if the instruments sampled at the same times. Otherwise, they will be in separate files. Data calibration adjustments based on ship-based CTD cast data and water samples, as well as quality control, have been applied.
SWOT Post-launch Field Campaign Data from L3 Mooring
The SWOT Postlaunch Oceanography Field Campaign L3 Moorings collection provides the surface air pressure, GPS, current velocity, and conductivity, temperature and depth (CTD) measurements from moorings at the L3 processing level. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California, including moorings at 11 distinct sites. The S2 mooring site had additional re-deployments from an otherwise independent project to study internal waves, the National Oceanographic Partnership Program – Global Internal Waves (NOPP-GIW), beyond the cal/val phase from September 2023 to October 2024. Data from NOPP-GIW are included in this collection, and described here, because they are closely related to the SWOT cal/val efforts. <br><br>L3 data are gridded data on a consistent depth-time grid, whereby “depth” is given as pressure. Multiple versions, or layouts, of L3 data are disseminated for slightly different use cases as described in the user guide. L3 data are meant as the primary end-user datasets, and users should determine which version is most suitable for them. A user should consider what time resolution is needed, whether constantly spaced time steps are needed, and if data from more than one mooring at a time are needed.
SWOT Postlaunch Oceanography Field Campaign L1 Moorings
The SWOT Postlaunch Oceanography Field Campaign L1 Moorings collection provides the surface air pressure, GPS, and conductivity, temperature and depth (CTD) measurements from moorings at the L1 processing level. The SWOT satellite mission launched in late 2022 and underwent a calibration and validation (cal/val) phase in 2023. As part of cal/val, an array of oceanographic instruments was deployed at a site 300 km offshore of California, including moorings at 11 distinct sites from February to October 2023. <br><br>L1 data are instrument data converted to physical units and merged with the relevant metadata. L1 data do not have adjustments to calibrations or scientific quality control applied. L1 data are meant for data provenance only, and are likely only to be useful to users involved in calibration issues.
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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.