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497 results for “campaign”
Ground-based vertical observations of atmospheric composition from field campaign on the Tibetan Plateau
<p>We introduce a long-term (2017-2019) vertical observational dataset of atmospheric composition in the TP from MAX-DOAS, a passive remote sensing technique.</p>
Tilting test campaign on masonry corners (2021-06-22, UMinho)
<p>This experimental dataset gathers the geometrical model tested, the video of the tests and the horizontal load multiplier results. Some additional figures support the experimental campaign.</p>
Seawater velocities measured by autonomous sailbuoy Adcp in the Barents Sea from May to July 2021 on campaign the PolarFront project
<p>This dataset contains ocean currents measured by sailing autonomous surface vehicle <em>Adcp</em>, while on campaign at 70–77N in the Barents Sea for the <a href="https://github.com/akvaplan-niva/polarfront">PolarFront</a> research project, from 16 May to 25 July 2021 (Daase 2021). The <em>Adcp</em> is equipped with a <a href="https://www.aanderaa.com/">Aanderaa</a> DCPS 5400 operating at 600 kHz, mounted in the keel at –0.2 m.</p> <p><strong>Space/time coverage</strong></p> <ul> <li>Time: 2021-05-16T13:45:00Z/2021-07-25T13:15:00Z</li> <li>Space: [20.5,70.0,33.0,76.8] ([W,S,E,N])</li> </ul> <p><strong>Data distributions</strong></p> <p><em>Datalogger (text files)</em></p> <p>The primary distribution consists of 2 datalogger text files retrieved post-mission from sailbuoy internal storage. The files are the original full scale original data records, as captured by the internal sofware of manufacturer <a href="http://www.sailbuoy.no/">Offshore Sensing</a>.</p> <ul> <li>DATA.TXT: Position and sensor metadata</li> <li>DCPS.TXT: Ocean currents</li> </ul> <p><em>GeoJSON</em></p> <p>For increased data interoperability, a <a href="https://www.rfc-editor.org/info/rfc7946"><strong>GeoJSON</strong></a> file is also included, consisting of Point features like the following:</p> <p>{ "geometry": { "coordinates": [30.11165, 76.438894], "type": "Point" }, "properties": { "time": "2021-05-19T22:45:00Z", "TTFF": 11, "Count": 24, "Commands": 0, "TxTries": 1, "ONT": 635, "DiskUsed": 0.783123, "Files": 0, "I": 0.01564, "V": 13.195122, "Temperature": 4.06502, "DCPSStatus": 0, "DCPSOnMin": 10, "DCPSSpeed": 0.329999, "DCPSDirection": 233.233643 }, "type": "Feature" }</p> <p>The GeoJSON file is derived from DATA.TXT and contains the full position and DCPS metadata log in a standard/machine-parsable format, including coordinated universal time following <a href="https://datatracker.ietf.org/doc/html/rfc3339">RFC 3339</a>/<a href="https://www.iso.org/obp/ui#iso:std:iso:8601:-1:ed-1:v1:en">ISO 8601</a>.</p> <p><strong>Data formats and interoperability</strong></p> <p>Both of the datalogger text files are in non-standard vendor formats. The DCPS text format is described in the <a href="https://www.aanderaa.com/media/pdfs/td304-manual-dcps.pdf">vendor manual.</a></p> <p><strong>Related publications</strong></p> <p>For a recent discussion on measuring ocean currents from sailbuoys compared to other platforms, see <a href="https://doi.org/10.3390/s22155553">Wullenweber et al., 2022</a>.</p> <p>See also <a href="https://doi.org/10.1029/2019GL086649">Swart et al.,2020</a>; <a href="https://doi.org/10.3390/s21206752">Camus et al., 2021</a> for further discussion on near-surface data collection with sailbuoys and other autonomous vehicles.</p> <p><strong>References</strong></p> <p>Camus L, Andrade H, Aniceto AS, Aune M, Bandara K, Basedow SL, Christensen KH, Cook J, Daase M, Dunlop K, Falk-Petersen S, Fietzek P, Fonnes G, Ghaffari P, Gramvik G, Graves I, Hayes D, Langeland T, Lura H, Kristiansen T, Nøst OA, Peddie D, Pederick J, Pedersen G, Sperrevik AK, Sørensen K, Tassara L, Tjøstheim S, Tverberg V, Dahle S (2021). Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project. Sensors 21(20):6752. <a href="https://doi.org/10.3390/s21206752">https://doi.org/10.3390/s21206752</a></p> <p>Daase M (ed.). (2021). ARCTOS Barents Sea Polar Front May 2021 Cruise Report (1.1.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.7384076">https://doi.org/10.5281/zenodo.7384076</a></p> <p>Edholm J. (2022). Sailbuoy DCPS. Zenodo. <a href="https://doi.org/10.5281/zenodo.6798056">https://doi.org/10.5281/zenodo.6798056</a></p> <p>Swart S, du Plessis MD, Thompson AF, Biddle LC, Giddy I, Linders T, Mohrmann M, Nicholson S (2020). Submesoscale fronts in the Antarctic marginal ice zone and their response to wind forcing. Geophysical Research Letters, 47, e2019GL086649. <a href="https://doi.org/10.1029/2019GL086649">https://doi.org/10.1029/2019GL086649</a></p> <p>Wullenweber N, Hole LR, Ghaffari P, Graves I, Tholo H, Camus L (2022). SailBuoy Ocean Currents: Low-Cost Upper-Layer Ocean Current Measurements. Sensors. 22(15):5553. <a href="https://doi.org/10.3390/s22155553">https://doi.org/10.3390/s22155553</a></p>
TEAMx-PC22 (TEAMx pre-campaign 2022) - VAD products from KITcube Leosphere/Vaisala Windcube WLS200s-115
<p><strong>Abstract</strong></p> <p>This data set was collected during the TEAMx pre-campaign in summer 2022 (TEAMx-PC22) in the Inn Valley Target Area, Austria.</p> <p><strong>Data description</strong></p> <p>This data set is comprised of a single NetCDF file containing select variables from the KITcube Leosphere/Vaisala Windcube WLS200s-115. This lidar performed a loop consisting of a PPI and a DBS scan. The velocity-azimuth display (VAD) algorithm was applied to each PPI, and the resulting output of just these PPIs is stored in the files. If DBS files are desired, please contact the author. The variable names and metadata structure were designed to conform as closely as possible to the E-PROFILE conventions adopted currently by MeteoSwiss.</p> <p>The time period is 9 June 2022, 00:00 UTC - 18 September 2022, 00:00 UTC.</p> <p>More details about the variables, lidar locations, scan details, as well as post-processing can be found in the NetCDF metadata.</p>
Training Workshop for Promoting Family Well-being Through a Community-based "Learning Families" Campaign
ClinicalTrials.gov study NCT02844244. IPD Sharing: NO. Countries: 0. Publications: 5.
Email Campaign to Increase Uptake of myGeisinger
ClinicalTrials.gov study NCT04332614. IPD Sharing: YES. Countries: 1. Publications: 0.
Systems-oriented School Healthy Weight Promotion Based on NASA Mission X Campaign
ClinicalTrials.gov study NCT03355131. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Le Kip Kip: A Campaign to Change Social Norms and Build Sustainable Demand for PrEP Among Women in South Africa
ClinicalTrials.gov study NCT05417620. IPD Sharing: NO. Countries: 1. Publications: 0.
HPV Message Testing and Social Media Campaign
ClinicalTrials.gov study NCT03747302. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ChildObesity180 - Social Marketing Campaign to Encourage Healthful Eating in Restaurants for Children
ClinicalTrials.gov study NCT03422926. IPD Sharing: NO. Countries: 0. Publications: 1.
MASTER: Suomi-NPP Airborne Campaign, 2013
This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected for the Suomi National Polar-orbiting Partnership (Suomi-NPP) instrument validation airborne campaign during 11 flights aboard a NASA ER-2 aircraft over California, Texas, and Oklahoma, U.S.; Baja California, Mexico; and eastern Pacific Ocean from 2013-05-07 to 2013-06-01. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
MASTER: Western Diversity Time Series Campaign, WDTS, Spring 2023
This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during 12 flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2023-03-31 to 2023-05-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in five bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
ABoVE: Directory of Field Sites Associated with 2017 ABoVE Airborne Campaign
This dataset provides a listing of the ~6,700 field sites used in planning the ABoVE Airborne Campaign (AAC) for 2017. The sites included point, polygon, and line locations that were used in determining the 2017 AAC flight paths. We intend this compilation to assist investigators in understanding the flight line choices and as a method for investigators to identify ground locations used in the airborne campaign. Data users may also search for the underlying data available at each of these locations. Site descriptors include name, coordinates, principal investigators with emails, data types, long-term archive locations, and links to project descriptions.
SASSIE Arctic Field Campaign ALTO/ALAMO Profiling Float Data Fall 2022 Version 1
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 temperature and salinity measurements collected by ALTO and Air Launched Autonomous Micro Observer (ALAMO) profiling floats deployed in the Beaufort Sea. ALTO floats had ice-avoidance firmware, meaning that they stopped surfacing and transmitting data once surface temperatures dropped to near-freezing values (indicating the presence of sea ice). They will hopefully reappear in summer 2023 to report data from the previous ice-covered season. ALAMO floats did not have ice-avoidance, in order to ensure that they reported data as long as possible during ice freeze-up. As a result, they will likely not survive over the winter. Future versions if this dataset may include data collected after Fall 2022. Data are available in netCDF format.
SASSIE Arctic Field Campaign Shipboard Delta-18O 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. This dataset contains delta-18O measurements from sea water and ice. Delta-18O is the ratio of stable isotopes oxygen-18 (18O) and oxygen-16. Water samples were collected from either a GoFlo bottle lowered from the side of the ship, or the outflow of the Salinity Snake. Ice samples (dimension ice_obs) were collected during two ice stations where augur tailings were collected and melted. Data are available in netCDF format.
Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the Southern African Fire Atmosphere Research Initiative 2000 Field Campaign
The AIRMISR_SAFARI data were acquired on September 6, 7, 13 and 14, 2000 during the SAFARI 2000 campaign. The Southern African Fire Atmosphere Research Initiative (SAFARI) 2000 field campaign focused on the smoke and gases released into the environment of southern Africa by industrial, biological and man-made sources such as biomass burning. The area of study included Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia, and Zimbabwe. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and for ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared. Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2).
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.
SASSIE Arctic Field Campaign Wave Glider Data Fall 2022 Version 1
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. 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. Data are available in netCDF format.
MASTER: HyspIRI Airborne Campaign, California, Summer 2015
This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) mission's preparatory airborne campaign during six flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2015-05-28 to 2015-06-11. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.
Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the Monterey 1999 Campaign
The AIRMISR_MONTEREY_1999 data were acquired on June 29, 1999 during a field mission which focused on Monterey, California. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and for ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared. Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2).
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.