The dataset is an archive of CTD data obtained from a towed undulating platform (Acrobat) in the region near the mouth of Long Island Sound. The observations were made with a Towed Oceanographic Microstructure and Auxiliary Sensors Instrument (TOMASI) manufactured by Rockland Scientific. The TOMASI was carried aboard a towed undulating vehicle, an Acrobat manufactured by SeaSciences. The Acrobat was towed behind the ship (cable payout is given within the header portion of the data files) and undulated between approximately 2 m below the surface to approximately 5 m above the bottom (or to a maximum depth of about 40 m). The dataset consists of 61 files each containing time series of longitude, latitude, pressure, temperature, conductivity, salinity, and sigma-t.

Moored CTD profilers were deployed at two sites, Central and Eastern Long Island Sound. There were a total of 5 deployments. Three were at the Eastern site, in Fall 2002 (denoted "fa02es"), Spring 2003 ("sp03es"), and Fall 2003 ("fa03es"). Two were at the Central site, in Spring 2002 ("sp02cs") and Spring 2003 ("sp03cs"). The deployment durations ranged from about 2 weeks to about 10 weeks. The profilers were Brooke Ocean Technology Seahorse wave-driven technology, with a Seabird pumped CTD system (911 plus) and Model 43 oxygen sensor that collected profiles of temperature, salinity, and oxygen concentration as a function of pressure at 4Hz during free ascents nominally once per hour.

Temperature profile and sound velocity data were collected using CTD, XCTD, and XBT casts in the Arctic Ocean, Mediterranean Sea - Eastern Basin, North Pacific Ocean, South Pacific Ocean, and Southern Oceans from April 11, 1975 to August 31, 1998. Data were collected by the US Naval Oceanographic Office as part of the Master Oceanographic Observation Data Set (MOODS) project.

Physical oceanographic data were collected by Navigation Response Team 4 in the Great Lakes area from 19 June 2008 to 15 October 2008. Data were collected from CTD casts and underway vessel profiler. Temperature and salinity profiles were collected from CTD casts. Sound velocity profiles were collected from the underway vessel profiler. Data are self documenting and are in plain ASCII text.

This dataset is a collection of 15 CTD casts taken in the North Pacific in early June, 2004. The purpose of the cruise was the deployment of acoustic sources and hydrophone arrays as part of the North Pacific Acoustic Laboratory experiment. CTD casts were performed at each of the transceiver location as well as on the acoustic path between the transceiver moorings. The purpose of obtaining this CTD data was to derive sound speed profiles for the interpretation of acoustic tomographic data.

This dataset is the final processed data for the following cruises in the northeastern Pacific Ocean, Strait of Juan De Fuca, and Puget Sound from 20030602 to 20061004: 1. ECOHAB/PNW1 aboard the Wecoma (W0306a), 2. ECOHAB/PNW2 aboard the Wecoma (W0308c), 3. ECOHAB/PNW3 aboard the Atlantis (AN1117), 4. ECOHAB/PNW4 aboard the Atlantis (AN1130), 5. ECOHAB/PNW5 aboard R/V Melville (8M0509), and 6. ECOHAB/PNW6 aboard R/V Thomas G. Thompson (TN200). These data were collected using the ships' SBE911+ system with dual Temperature and Conductivity sensors, a Chelsea/SeaTech/Wetlabs (Cstar/ECO-(AFL/FL)) fluorometer sensor, Chelsea/Wetlabs Cstar Transmissometer, a Biospherical Instruments/LICOR PAR (Irradiance) sensor, and a Sea Bird SBE043 dissolved oxygen sensor. The data was initially processed using SeaBird Electronics' processing with SeaBird's standard. recommended parameters. The procedure used for quality-control and calibration post processing follows that developed at NOAA's Pacific Marine Environmental Laboratory in the Eco-FOCI (Fisheries and Oceanography coordinated Investigations) and other in house procedures.

The dataset consists of 115 CTD casts in the region north of Flemish Cap. Some casts cover the full water column, while others only cover the upper 1000 db. The CTD casts were obtained with a SeaBird SBE911+ system, measuring temperature (2 sensors), conductivity (2 sensors), pressure, beam transmission, height above the bottom, oxygen (2 sensors), and chlorophyll fluorescence. All sensors were sampled at 24 Hz. The data were processed using the SeaBird data processing software suite, SBEDataProcessing-Win32, and with software in MATLAB. A low pass filter, with time constant of 0.15 s, was applied to the pressure record. To account for the transit time between the temperature and conductivity sensors, the conductivity measurements were aligned with the temperature measurements using empirically determined time delays. The primary conductivity was delayed by 0.035 s relative to pressure (this is in addition to the advance of 0.073 s which is performed by the SeaBird deckbox during data acquisition, thus resulting in a net advance of 0.038 s). The secondary conductivity was advanced by 0.048 s (except for cast ctd001, which had the automatic deckbox advance value of 0.073 s applied. Thus the secondary conductivity from this cast was delayed by 0.025 s, giving a net advance of 0.048 s). The two oxygen voltages were advanced by 4 s relative to pressure. A correction for conductivity cell thermal mass effects was applied to both conductivity channels using the parameters recommended by SeaBird (alpha=0.03, 1/beta=7.0). The temperatures, conductivities, and oxygen voltages were then median filtered using a 7-scan window. A loop edit step was then applied, whereby portions of the cast in which the pressure was not changing sufficiently fast (0.2 dbar/s) were removed. This was followed by computation of salinity, potential temperature, potential density, sound velocity, geopotential anomaly, and oxygen concentration. Unfortunately, it was found that the SeaBird data processing module Derive used the primary temperature and salinity in computing both primary and secondary oxygen. Because there were several casts during which the primary temperature sensor intermittently failed, this resulted in loss of oxygen data. To get around this problem, the oxygen calculation was performed separately in MATLAB using the SeaBird algorithm and with primary/secondary oxygen computed using primary/secondary T and S respectively. Finally, the data from the downcast were averaged into 1 dbar bins. Further details of the CTD data processing can be found in the header portion of the individual cast files. The final data files contain raw sensor values (1 dbar bin averages) plus a number of derived variables (e.g., potential temperature, salinity, sigma-theta, oxygen). A full list of the output variables is contained in the header portion of the cast files. The casts were visually examined to determine the quality of the data from the 2 separate sensor suites (primary and secondary). A header line was placed in each file indicating the preferred sensor pair (PRIMARY or SECONDARY) if one was bad or whether both were of equal quality (BOTH GOOD).

The dataset consists of 100 CTD casts in the region north of Flemish Cap. Some casts cover the full water column, while others only cover the upper 1000 db. The CTD casts were obtained with a SeaBird SBE911+ system, measuring temperature (2 sensors), conductivity (2 sensors), pressure, beam transmission, oxygen (plumbed in series with the primary T/C sensor pair), chlorophyll fluorescence, and turbidity. All sensors were sampled at 24 Hz. The data were processed using the SeaBird data processing software suite, SBEDataProcessing-Win32. A low pass filter, with time constant of 0.15 s, was applied to the pressure record. To account for the transit time between the temperature and conductivity sensors, the conductivity measurements were aligned with the temperature measurements using empirically determined time delays. The primary conductivity was delayed by 0.011 s relative to pressure (this is in addition to the advance of 0.073 s which is performed by the SeaBird deckbox during data acquisition, thus resulting in a net advance of 0.062 s). The secondary conductivity was advanced by 0.050 s. The oxygen voltage was advanced by 4 s relative to pressure. A correction for conductivity cell thermal mass effects was applied to both conductivity channels using the parameters recommended by SeaBird (alpha=0.03, 1/beta=7.0). The temperatures, conductivities, and oxygen voltage were then median filtered using a 7-scan window. A loop edit step was then applied, whereby portions of the cast in which the pressure was not changing sufficiently fast (0.2 dbar/s) were removed. This was followed by computation of salinity, potential temperature, potential density, sound velocity, geopotential anomaly, and oxygen concentration. Finally, the data from the downcast were averaged into 1 dbar bins. Further details of the CTD data processing can be found in the header portion of the individual cast files. The final data files contain raw sensor values (1 dbar bin averages) plus a number of derived variables (e.g., potential temperature, salinity, sigma-theta, oxygen). A full list of the output variables is contained in the header portion of the cast files. The casts were visually examined to determine the quality of the data from the 2 separate sensor suites (primary and secondary). A header line was placed in each file indicating the preferred sensor pair (PRIMARY or SECONDARY) if one was bad or whether both were of equal quality (BOTH GOOD).

This dataset contains water conductivity and temperature casts collected by CTD from the research vessel Heron. Voltage profiles were measured by an optical backscatter probe deployed from research vessel Heron. ADCP instrument was deployed 30 m above the seabed, suspended from a fixed vessel (research vessel Strickland). The research vessel Strickland was moored (using 4 anchors) above the central submarine channel downstream of the Squamish delta. File Beamave_EA.txt contains the echo intensity averaged between four ADCP beams in counts. Echo intensity was used to derive the concentration of suspended sediment from 30 m to 60 m water depth, using an acoustic inversion method and physical samples for calibration. File vmag.txt contains the magnitude of velocity in m/s. These data were used to obtain the turbidity current measured on 15th June 2015. Data are in ASCII format.