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- Aerosol (2)
- Biomass burning (2)
- Cloud (2)
- Molecular characterization (2)
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- Precipitation (2)
- Seafloor (2)
- Sediment (2)
- Ultrahigh resolution mass spectrometry (2)
- Western Gulf of Maine (2)
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- G-band cloud radar (1)
- Hypoxia (1)
- Ice precipitation particle growth (1)
- Jeffreys Ledge (1)
- Multi-frequency radar measurement (1)
- Myanmar (1)
- New Hampshire Continental Shelf (1)
- Northern Andaman Sea (1)
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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Ultrahigh Resolution Ote-Ms Data For Ambient Daytime And Nighttime Aerosol And Ambient Fog Water From San Pietro Capofiume, Matthew Brege, Lynn Mazzoleni
Ultrahigh Resolution Ote-Ms Data For Ambient Daytime And Nighttime Aerosol And Ambient Fog Water From San Pietro Capofiume, Matthew Brege, Lynn Mazzoleni
Michigan Tech Research Data
This dataset and the methods used to obtain it are described in Chapter 3 of "EXTREME MOLECULAR DIVERSITY IN BIOMASS BURNING ATMOSPHERIC ORGANIC AEROSOL OBSERVED THROUGH ULTRAHIGH RESOLUTION MASS SPECTROMETRY" a Dissertation prepared by Matthew Brege and submitted as a Doctoral Thesis. This work can be accessed here: https://doi.org/10.37099/mtu.dc.etdr/927
Briefly, four days worth of concurrent daytime/nighttime aerosol and fog water samples were collected at San Pietro Capofiume in the Emilia Romagna region of Italy from 1-Dec to 4-Dec, 2015. The water soluble extracts of the aerosol filters and aliquots of the fog water were analyzed using ultrahigh resolution Orbitrap mass …
Ultrahigh Resolution Ote-Ms Data For Wildfire-Influenced Tar Ball Aerosol From The Pacific Northwest, Matthew Brege, Simeon Schum, Lynn Mazzoleni
Ultrahigh Resolution Ote-Ms Data For Wildfire-Influenced Tar Ball Aerosol From The Pacific Northwest, Matthew Brege, Simeon Schum, Lynn Mazzoleni
Michigan Tech Research Data
This dataset and the methods used to obtain it are described in Chapter 4 of "EXTREME MOLECULAR DIVERSITY IN BIOMASS BURNING ATMOSPHERIC ORGANIC AEROSOL OBSERVED THROUGH ULTRAHIGH RESOLUTION MASS SPECTROMETRY" a Dissertation prepared by Matthew Brege and submitted as a Doctoral Thesis. Access this associated work here: https://doi.org/10.37099/mtu.dc.etdr/927
Briefly, two samples of ambient aerosol were collected in the Pacific Northwest of the United States in 2017 which were heavily influenced by atmospheric tar balls. The acetonitrile soluble extracts of the aerosol filters were analyzed using ultrahigh resolution Orbitrap mass spectrometry (OTE-MS) using positive and negative modes of electrospray ionization as …
Data Supporting The Paper "Is The Water Vapor Supersaturation Distribution Gaussian?", Subin Thomas, Prasanth Prabhakaran, W. Cantrell, Raymond Shaw
Data Supporting The Paper "Is The Water Vapor Supersaturation Distribution Gaussian?", Subin Thomas, Prasanth Prabhakaran, W. Cantrell, Raymond Shaw
Michigan Tech Research Data
The data in this file are from the MTU Pi Cloud Chamber and large eddy simulations. This work was supported by NSF grant AGS-1754244. Data are made available in support of the above publication by Thomas et al.. For any further use, e.g., for publication elsewhere, the authors should be contacted to ensure the appropriate use of the data and proper acknowledgment.
Stony Brook Radar Observatory Radar And Lidar Data For February 25, 2020, Mariko Oue, Katia Lamer
Stony Brook Radar Observatory Radar And Lidar Data For February 25, 2020, Mariko Oue, Katia Lamer
SoMAS Research Data
Observations collected during the 25-February-2020 deployment of the Vapor In-Cloud Profiling Radar at the Stony Brook Radar Observatory clearly demonstrate the potential of G-band radars for cloud and precipitation research. The field experiment, which coordinated an X-, Ka, W-and G-band radar, revealed that the differential reflectivity from Ka-G-band pair provides larger signals than the traditional Ka-W pairing underpinning an increased sensitivity to smaller amounts of liquid and ice water mass and sizes. The data include:
1) Vapor In-Cloud Profiling Radar (VIPR) collected on 24-26 February 2020
2) W-band profiling radar (ROGER) collected on 25 February 2020
3) Ka-band Scanning Polarimetric …
Stony Brook Radar Observatory Radar Data For February 20, 2019, Mariko Oue
Stony Brook Radar Observatory Radar Data For February 20, 2019, Mariko Oue
SoMAS Research Data
Stony Brook Radar Observatory (SBRO) has been in operation since March in 2017 (-73.127E, 40.897N, https://you.stonybrook.edu/radar/). The flagship radar of SBRO is a very sensitive, sophisticated, and well-calibrated Ka-band (35-GHz) scanning fully-polarimetric radar (KASPR). The radar measurements are complemented by two profiling radar systems operating at W-band (94-GHz, ROGER) and K-band (24-GHz, MRRPro). KASPR, ROGER, and MRRPro at SBRO collected triple frequency data during a snow event on February 20, 2019. Analyses of dual wavelength ratio, mean vertical Doppler velocity, and polarimetric radar variables from the triple frequency measurements can be used to identify ice particle types, distinguish among …
New Hampshire Continental Shelf Geophysical Database: 2002-2005 Jeffreys Ledge Field Campaign – Seafloor Photographs And Sediment Data, Larry G. Ward, Raymond E. Grizzle, Rachel C. Morrison
New Hampshire Continental Shelf Geophysical Database: 2002-2005 Jeffreys Ledge Field Campaign – Seafloor Photographs And Sediment Data, Larry G. Ward, Raymond E. Grizzle, Rachel C. Morrison
Data Catalog
Jeffreys Ledge is a major physiographic feature in the western Gulf of Maine (WGOM) located ~50 km off the coast of New Hampshire, although coming within ~10 km of shore by Cape Ann, Massachusetts. Jeffreys Ledge rises up as much as ~150 m from the seafloor of the adjacent basins (i.e., Scantum Basin or Wilkinson Basin) to depths less than 50 m on the ridge surface. The ridge extends over 100 km along its north-northeast to south-southwest axes while generally only being 5 to 10 km in width (~20 km maximum). Jeffreys Ledge and the surrounding region, like many features …
New Hampshire Continental Shelf Geophysical Database: 2012-2013 Newbex Field Campaign – Seafloor Photographs And Sediment Data, Larry G. Ward, Zachary S. Mcavoy, Rachel C. Morrison
New Hampshire Continental Shelf Geophysical Database: 2012-2013 Newbex Field Campaign – Seafloor Photographs And Sediment Data, Larry G. Ward, Zachary S. Mcavoy, Rachel C. Morrison
Data Catalog
An approximately 4.5 km transect running from lower Portsmouth Harbor seaward onto the inner continental shelf was established to serve as the field site for the Newcastle Backscatter Experiment (NEWBEX). Acoustic backscatter measurements were made along the transect to examine relationships between backscatter and seafloor properties. This transect takes advantage of the diversity and heterogeneity of bottom types in lower Portsmouth Harbor and approach. In support of NEWBEX, a field campaign was undertaken to describe the sedimentologic characteristics of the seafloor along the transect. A total of five cruises were carried out approximately seasonally on November 26, 2012 and June …
Acoustic Doppler Current Profiler (Adcp) Data 2017: Ayeyarwady Delta, Myanmar, Courtney K. Harris, Jacob T. Wacht
Acoustic Doppler Current Profiler (Adcp) Data 2017: Ayeyarwady Delta, Myanmar, Courtney K. Harris, Jacob T. Wacht
Data
During December 2017, a 2-week research cruise was conducted on the vessel the Sea Princess by scientists from the Virginia Institute of Marine Science, North Carolina State University, Mawlamyine University, and University of Yangon. Kuehl et al. (2019) and Liu et al. (2020) present some of the sediment core, and seabed mapping data from that cruise. The cruise also provided a unique opportunity to obtain Acoustic Doppler Current Profiler (ADCP) data along several transects from the Gulf of Martaban and adjacent continental shelf offshore of Myanmar. During the cruise, an ADCP was mounted from the boat facing vertically downward toward …
Nitrogen Reductions Have Decreased Hypoxia In The Chesapeake Bay: Evidence From Empirical And Numerical Modeling : Data Repository, Luke T. Frankel, Marjorie A.M. Friedrichs
Nitrogen Reductions Have Decreased Hypoxia In The Chesapeake Bay: Evidence From Empirical And Numerical Modeling : Data Repository, Luke T. Frankel, Marjorie A.M. Friedrichs
Data
This data repository is a permanent archive of the results presented in the associated publication: Frankel et al., 2022, Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling, Science of the Total Environment, accepted for publication in December 2021.