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391 results for “ctd”
Hydrography profiles from ship CTD captured during PolarFront cruise 2024-01
<p>See the Cruise Report (Daase 2024) for details.</p> <p>Daase, M. (2024). PolarFront January 2024 Cruise Report. Zenodo. <a href="https://doi.org/10.5281/zenodo.10623810" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10623810</a></p>
Hydrography from LOPC-attached CTD during PolarFront cruise 2024-01
<p>See the Cruise Report (Daase 2024) for details.</p> <p>Daase, M. (2024). PolarFront January 2024 Cruise Report. Zenodo. <a href="https://doi.org/10.5281/zenodo.10623810" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10623810</a></p>
Sea Temperature and Pressure Data Measured by CTD
Open the record for dataset details and reuse information.
MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043), Amber ff99SB-ILDN, tip3p, 310K, Gromacs
<p>MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043). Simulated with Amber ff99SB-ILDN force field, tip3p water model at 310K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043), Amber ff99SB-ILDN, tip4p, 310K, Gromacs
<p>MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043). Simulated with Amber ff99SB-ILDN force field, tip4p water model at 310K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043), Amber ff99SB-ILDN, OPC4, 310K, Gromacs
<p>MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043). Simulated with Amber ff99SB-ILDN force field, OPC4 water model at 310K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043), Amber ff99SB-ILDN, tip3p, 303K, Gromacs
<p>MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043). Simulated with Amber ff99SB-ILDN force field, tip3p water model at 303K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p> <p> </p>
MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043), Amber ff99SB-ILDN, tip4p, 303K, Gromacs
<p>MD simulation data for Helicobacter pylori TonB-CTD (residues 194-285) (PDB ID: 5LW8; BMRB entry: 34043). Simulated with Amber ff99SB-ILDN force field, tip4p water model at 303K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Pseudomonas aeruginosa TonB-CTD, Amber ff99SB-ILDN, tip4p, 298K, Gromacs
<p>MD simulation data for Pseudomonas aeruginosa TonB-CTD. Simulated with Amber ff99SB-ILDN force field, tip4p water model at 298K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Pseudomonas aeruginosa TonB-CTD, Amber ff99SB-ILDN, OPC4, 310K, Gromacs
<p>MD simulation data for Pseudomonas aeruginosa TonB-CTD. Simulated with Amber ff99SB-ILDN force field, OPC4 water model at 310K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Pseudomonas aeruginosa TonB-CTD, Amber ff99SB-ILDN, tip4p, 310K, Gromacs
<p>MD simulation data for Pseudomonas aeruginosa TonB-CTD. Simulated with Amber ff99SB-ILDN force field, tip4p water model at 310K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
MD simulation data for Pseudomonas aeruginosa TonB-CTD, Amber ff99SB-ILDN, tip3p, 298K, Gromacs
<p>MD simulation data for Pseudomonas aeruginosa TonB-CTD. Simulated with Amber ff99SB-ILDN force field, tip3p water model at 298K, Gromacs software package.</p> <p>Simulation reported in "Rotational dynamics of proteins from spin relaxation times and molecular dynamics simulations", Ollila et al. Submitted (2017).</p>
SCICEX CTD files 96 (cast-43) and 97 (CTD_xxx.EDF)
<p>This SCICEX (96 + 97) public sub-dataset has been used by the author in a two parts paper (submitted in October 2024 to the Comptes-Rendus-Geoscience) to compute the absolute seawater entropy from the Temperature, Salinity, depth vertical profiles (t,Sa,d). </p>
CTD and biogeochemical data from a phytoplankton bloom in the North Pacific Subtropical Gyre in summer 2022 (PARAGON II expedition)
<p>CTD and biogeochemical data from a phytoplankton bloom in the North Pacific Subtropical Gyre in August 2022 (PARAGON II expedition) aboard the R/V Kilo Moana (KM2209). </p>
TN427 CTD and Nutrient Data
<p>This dataset includes CTD and nutrient data collected in 2024 during the University of Washington School of Oceanography undergraduate senior thesis research cruise (TN427) from American Samoa. CTD data were processed using Sea-Bird software following the GO-SHIP protocol (McTaggart et al., 2010). The nutrient concentrations were analyzed by the UW Marine Chemistry Laboratory following the protocols of the WOCE Hydrographic Program using a Seal Analytical AA3. The timestamp is reported in UTC.</p> <p>(Version 2 improves on the previous version by resolving a typo in a variable name)</p>
Dataset and scripts for reproducing figures and analyses used in "An advanced towed CTD chain for physical-biological high resolution in situ ocean surface measurements"
<p>This archive includes the data, python scripts, and directory structure necessary to reproduce the figures and analyses used in the manuscript with the title "An advanced towed CTD chain for physical-biological high resolution in situ ocean surface measurements"</p>
Amundsen Sea seal-tag CTD data (2014, 2019, 2020)
<p>1. Seal-tag hydrographic CTD measurements collected in the Amundsen Sea in 2014, 2019, and 2020.</p> <p>Columns are: Latitude [<sup>o</sup>], Longitude [<sup>o</sup>], Temperature [<sup>o</sup>C], Salinity [PSU], depth, z [m], absolute salinity, SA [g/kg], conservative temperature, CT [<sup>o</sup>C], potential temperature, PT [<sup>o</sup>C], potential density, PD [kg/m<sup>3</sup>], N<sub>2</sub>, Datetime [yyyy-mm-dd hh:mm:ss], Station/seal name. </p> <p>The official seal tag dataset can be found here: https://www.meop.net/database/meop-databases/.</p> <p>2. Remote sensing imagery (MODIS, Landsat) dates and links.</p>
Post-processed CTD Near-full-depth Data at ER-0121 Site
<p>This dataset consists of post-processed CTD near-full-depth data acquired between 1999 and 2003 at the ER-0121 site (36° 18’ N, 16° 6’ E) in the Ionian Sea (Mediterranean Sea). Original raw data were provided by Giorgio Riccobene and Antonio Capone. The CTD profiles were collected in the framework of the Cubic Kilometre Neutrino Telescope (KM3NeT) project (Katz, 2006; Rubino et al., 2012). Specifically, they were acquired during EMTEC cruises (April–May 1999), SINAPSI-4 cruise (March–April 2002), and Poseidon Cruise 298 (May 2003).</p> <p><strong>References:</strong><br> Katz, U. F. (2006). KM3NeT: Towards a km3 Mediterranean neutrino telescope. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 567(2), 457–461.<br> Rubino, A., Falcini, F., Zanchettin, D., Bouche, V., Salusti, E., Bensi, M., Riccobene, G., De Bonis, G., Masullo, R., Simeone, F., Piattelli, P., Sapienza, P., Russo, S., Platania, G., Sedita, M., Reina, P., Avolio, R., Randazzo, N., Hainbucher, D., & Capone, A. (2012). Abyssal undular vortices in the Eastern Mediterranean basin. Nature Communications, 3(1), 834.<br> Riccobene, G., Capone, A., Aiello, S., Ambriola, M., Ameli, F., Amore, I., ... & Vicini, P. (2007). Deep seawater inherent optical properties in the Southern Ionian Sea. Astroparticle Physics, 27(1), 1-9.<br> Adrian-Martinez, S., Ageron, M., Aharonian, F., Aiello, S., Albert, A., Ameli, F., ... & Markou, C. (2016). Letter of intent for KM3NeT 2.0. Journal of Physics G: Nuclear and Particle Physics, 43(8), 084001.<br> Migneco, E., Aiello, S., Aloisio, A., Ameli, F., Amore, I., Anghinolfi, M., ... & Wischnewski, R. (2008). Recent achievements of the NEMO project. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 588(1-2), 111-118.</p>
Vertical hydrography profiles from CTD rosette downcasts during PolarFront cruise 2022-05
<p>Hydrography data from CTD (SBE911plus, Seabird Inc.) profiles. Rosette equipped with the following sensors:</p> <ul> <li>Conductivity</li> <li>Temperature</li> <li>Pressure</li> <li>Fluorometer</li> <li>Turbidity</li> <li>PAR</li> <li>Oxygen</li> </ul> <p>Update December 2024</p> <p>The salinity and temperature sensors were calibrated against another CTD from a moored instrument by Ragnheid Skogseth at UNIS, the University Centre in Svalbard. A relatively large drift in temperature was observed. To convert temperature (T) and salinity (S) to calibrated values apply the following equations to e.g. data from stnrxxxx_bin.cnv</p> <p>T_new = T_old + 0.12<br>S_new = 1.0115 * S_old – 0.5343</p> <p>The following is quoted verbatim from chapter 1 in the cruise report (Basedow, 2022):</p> <blockquote> <p>Hydrographic data were collected by a variety of sensors mounted on vertical profiling platforms, towed platforms and autonomous gliders. Combined, these platforms provided detailed information at stations, high-resolution measurements across the polar front, and longer-term measurements by the gliders. During the cruise, hydrographic measurements were taken at stations using the main rosette equipped with 12 5-L Niskin bottles, CTD-F, PAR and other sensors (Table 1.1) and using a smaller rosette frame equipped with CTD-F, LOPC, LISST and WBAT (Table 1.2, Fig. 1.1). Both platforms were deployed vertically until 5-10 m above the bottom for the main platform and down to 300 m for the platform with the LOPC, this rosette sampling three profiles at selected stations.</p> <p>In total 14 vertical profiles were sampled by the rosette with the water bottles (Table 1.1) at our 6 main stations (PF1 to PF6). Water samples for biological analyses were taken from selected depths and a bottom water samples was collected at each station for calibration of the conductivity sensor ashore. Water samples for chlorophyll a will be used to calibrate the fluorescence sensor. CTD data from this rosette were processed using the SBEDataProcessing-Win32 software. Only the values from the CTD downcast were used to avoid turbulence caused by the rosette on the upcast. The data were converted<br>to physical units, filtered for outliers and bin-averaged over 1 m bins. </p> </blockquote> <p><strong>References</strong></p> <p>Sünnje Basedow, Nicolas Gosset, Torkel Granaas, Eva Leu (2022). Hydrography. In: Malin Daase (ed.) (2022). PolarFront May 2022 Cruise Report. Zenodo. https://doi.org/10.5281/zenodo.7128746</p>
PARAGON 1 - KM2112 - Cell Abundances from CTD
<p>These Simons Collaboration on Ocean Processes and Ecology (SCOPE) data products were produced by the University of Hawaiʻi at Mānoa with support from the Simons Foundation.</p> <p>This dataset was collected on the R/V Kilo Moana, which departed and returned to Honolulu, HI, with most of the cruise spent following an anticyclonic eddy northeast of the Hawaiian islands. The data consist of cell abundances for heterotrophic bacteria, picophytoplankton populations (namely the cyanobacteria Prochlorococcus and Synechococcus), and small eukaryotic phytoplankton. Time is in UTC.</p>
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OpenNeuro
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