| Contributors | Affiliation | Role |
|---|---|---|
| Carlson, Craig A. | University of California-Santa Barbara (UCSB) | Principal Investigator |
| Giovannoni, Stephen | Oregon State University (OSU) | Co-Principal Investigator |
| Halewood, Elisa | University of California-Santa Barbara (UCSB) | Scientist |
| Longnecker, Krista | Woods Hole Oceanographic Institution (WHOI) | Scientist |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
CTD profiles followed the sampling procedures detailed in the BATS method manual version #4 (Knap et al., 1997). The CTD is operated as per SeaBird's suggested methods with data collection at the full scan rate of 24 hertz (Hz). The CTD is powered up and allowed to stabilize at 12 meters prior to profiling. This stabilization period is important for both the conductivity and dissolved oxygen sensors to warm up prior to making measurements. Once stable (typically 4 minutes) the CTD is brought back to the surface from which point the profile begins with typical descent rates of 0.7 to 1.0 meters per second (m/s), depending on weather conditions. Water samples are collected on the upcast and prior to triggering bottles, the CTD is kept at the desired depth for a minimum of 60 seconds to ensure that entrainment from the following wake has subsided. Once the water sample is taken, the CTD immediately continues with the upcast at an ascent rate of 0.7 to 1.0 m/s.
The basic system used to acquire CTD data is a Sea-Bird SBE 9plus CTD, with an internal Digiquartz pressure sensor, a Sea-Bird SBE-3F temperature sensor, a Sea-Bird SBE-4 conductivity cell and a Sea-Bird SBE-5 pump. Additional sensors include the Sea-Bird SBE-43 dissolved oxygen sensor, the WET Labs C-Star or Chelsea/Seatech Transmissometer, the Chelsea Aqua 3 Fluorometer, and the Biospherical/Licor PAR/Irradiance sensor. Present configuration also includes a secondary temperature sensor, a Sea-Bird SBE-35 temperature sensor, a secondary conductivity sensor and pump, which are connected independently from the primary units. The temperature and conductivity sensors are connected by a standard Sea-Bird TC-duct (clear, low viscous type), which ensures that the same parcel of water is sampled by both sensors, improving the accuracy of the computed salinity. The dissolved oxygen sensor is connected downstream from the conductivity cell and the flow rate through this sensor configuration is maintained at a steady rate by the inertia balanced SBE-5 pump.
CTD data processing typically follows the procedures outlined in Knap et al., 1997 and can be divided into three major stages: (1) CTD signal conversion and dynamic sensor correction, (2) static drift corrections and empirical field calibrations, (3) calculation of derived variables. Stage 1 is performed using SeaBird's SEASOFT software and some MATLAB scripts; Stage 2 and 3 are performed in the MATLAB environment.
The basic steps of stage 1 are: preliminary CTD sensor quality check; determination of the dynamic coefficients associated with time alignment and thermal mass problems; application of pressure filter and velocity filter (0.3 m/s); application of digital filters for erroneous signal removal; and finally average to 2 Hz ready for stage 2 processing.
The processing steps in stage 2 include: static drift corrections as determined from the sensor calibration history; empirical field calibration of the conductivity and oxygen sensors; final QC analysis; and bin average downcast data to 2 dbar. Following experience of profiling with the SBE–35RT temperature probes, appropriate routines are being implemented to assess performance of the SBE–03f units against the SBE–35 and implement correction procedures. It should be noted that only downcast data are processed and reported.
The processing in stage 3 includes the calculation of derived parameters (season, sunrise, sunset, vertical zone) calculated as described in Curry et al. (2026). Three calculations are provided for mixed layer depths: MLD_dens125 is based on Suga et al. 2024, MLD_bvfrq is based on Morison et al. (2019) and Graff et al. (2018), MLD_densT2 is based on Sprintall and Tomczak (1992).
See the BIOS-SCOPE data processing pipeline linked in the Related Datasets for more details (Longnecker et al., 2026).
- Loaded CSV file BIOSCCOPE_CTDdataforBCODMO.2026.03.25.csv as table "1000939_v1_bios_scope_ctd"; header row set to row 1; missing value sentinels set to "", "nd", "-999", and "NaN"
- Combined year, month, day columns into a new "date" column formatted as ISO 8601 (YYYY-MM-DD), preserving original year, month, day columns
- Reordered columns so "date" appears immediately after year/month/day, with full column order set as: BATS_id, cruise, cast, date, year, month, day, hour, doy, lat, lon, MLD_dens125, MLD_bvfrq, MLD_densT2, DCM, Season, Sunrise, Sunset, par0, z_par_1pcnt, z_par_halfpcnt, z_par_tenthpcnt, pr, de, te, co, sa, o2, bac, fluor, fluor_filt, par, par_est, th, sig0, rho, bvfrq, vertZone
- Zero-padded Sunrise and Sunset values to 4 digits using string formatting
- Split zero-padded Sunrise and Sunset values into hour and minute component columns via regex, deleting the intermediate padded columns
- Reformatted Sunrise and Sunset as colon-separated HH:MM time strings by combining the hour/minute component columns
- Exported table as 1000939_v1_bios_scope_ctd
** Metadata Update **
- BCO-DMO Data Manager had mistakenly listed BAT_CRUISES as the deployment for this dataset. Data Manager removed that cruise and submitter provided correct cruises to be attached to this dataset. No changes were made to the data file.
| File |
|---|
1000939_v1_bios_scope_ctd.csv (Comma Separated Values (.csv), 18.06 MB) MD5:2c07314f00b4d26c5fb31e6f20df8853 Primary data file for dataset ID 1000939, version 1 |
| Parameter | Description | Units |
| BATS_id | Sample identification; identifies cruise and cast | unitless |
| cruise | BATS Cruise number | unitless |
| cast | Cast Number | unitless |
| date | Date of CTD cast reported in UTC | unitless |
| year | Year of CTD cast | unitless |
| month | Month of CTD cast | unitless |
| day | Day of CTD cast | unitless |
| hour | Hour of day of CTD cast | unitless |
| doy | Day of year of CTD cast | day |
| lat | Latitude of CTD deployment; Positive is North | decimal degrees |
| lon | Longitude of CTD deployment; Negative is West | decimal degrees |
| MLD_dens125 | Mixed layer depth defined by surface density + 0.125 kg/m^3 (Suga, T., K. Motoki, Y. Aoki, and A. M. Macdonald (2004), The North Pacific climatology of winter mixed layer and mode waters, J. Phys. Oceanogr., 34, 3 – 22,10.1175/1520-0485(2004)034<0003:TNPCOW>2.0.CO;2) | meters |
| MLD_bvfrq | Depth of 'active mixing' defined by buoyancy frequency (Morison, F., E. Harvey, G. Franzè and S. Menden-Deuer (2019). Storm-Induced Predator-Prey Decoupling Promotes Springtime Accumulation of North Atlantic Phytoplankton. Frontiers in Marine Science Volume 6 - 2019. DOI: 10.3389/fmars.2019.00608) and (Graff, J. R. and M. J. Behrenfeld (2018). Photoacclimation Responses in Subarctic Atlantic Phytoplankton Following a Natural Mixing-Restratification Event. Frontiers in Marine Science Volume 5 - 2018. DOI: 10.3389/fmars.2018.00209) | meters |
| MLD_densT2 | MLD from Thermal Expansion Coeff, and dT=0.2 deg C (Sprintall, J., and M. Tomczak (1992), Evidence of the barrier layer in the surface layer of the tropics, J. Geophys. Res., 97, 7305– 7316,10.1029/92JC00407) | meters |
| DCM | Depth of chlorophyll maximum (from CTD fluorometer) | meters |
| Season | Season designation (1 = mixed, 2 = spring, 3 = stratified, 4 = fall) | unitless |
| Sunrise | description | units |
| Sunset | description | units |
| par0 | Surface PAR value | microeinsteins per meter squared per second (uE/m2/s) |
| z_par_1pcnt | Depth of 1% light level | meters |
| z_par_halfpcnt | Depth of 0.5% light level | meters |
| z_par_tenthpcnt | Depth of 0.1% light level | meters |
| pr | Pressure (dbar) | decibars (dbar) |
| de | Sample depth | meters |
| te | Temperature (ITS-90) | degrees Celsius |
| co | Conductivity | S/m |
| sa | Salinity (psu) | PSU |
| o2 | Dissolved Oxygen | micromole per kilogram (umol/kg) |
| bac | Beam Attenuation Coefficient | reciprocal meters (1/m) |
| fluor | Fluorescence | relative fluorescence units (RFU) |
| fluor_filt | Fluorescence filtered (applies a 3rd order butterworth filter to the fluorometer profile) | relative fluorescence units (RFU) |
| par | Photosynthetically Active Radiation (PAR) | microeinsteins per meter squared per second (uE/m2/s) |
| par_est | Photosynthetically Active Radiation (PAR): fitted exponential profile | microeinsteins per meter squared per second (uE/m2/s) |
| th | Potential temperature as per UNESCO 1983 report | degree C (ITS-90) |
| sig0 | Potential denisty relative to the reference pressure | kg/m^3 |
| rho | Density of seawater | kg/m^3 |
| bvfrq | Brunt-Vaisala Frequency squared (N^2) | s^-2 |
| vertZone | Vertical Zone designation (see description in Curry et al. 2026) | unitless |
| Dataset-specific Instrument Name | CTD Sea-Bird 911+ |
| Generic Instrument Name | CTD Sea-Bird SBE 911plus |
| Dataset-specific Description | SeaBird 9/11+ CTD equipped with dual SBE-03f temperature sensors, SBE-04 conductivity sensors, and SBE45 dissolved oxygen sensors |
| Generic Instrument Description | The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics |
| Dataset-specific Instrument Name | Chelsea Aqua 3 fluorometer |
| Generic Instrument Name | Fluorometer |
| Dataset-specific Description | Additional sensors for the CTD data include the Chelsea Aqua 3 Fluorometer |
| Generic Instrument Description | A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. |
| Dataset-specific Instrument Name | LI-COR Biospherical PAR Sensor |
| Generic Instrument Name | LI-COR Biospherical PAR Sensor |
| Dataset-specific Description | Biospherical/Licor PAR/Irradiance sensor |
| Generic Instrument Description | The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column. This instrument designation is used when specific make and model are not known. |
| Dataset-specific Instrument Name | Sea-Bird SBE 5 pump |
| Generic Instrument Name | SBE 5T/5P Submersible Pump |
| Dataset-specific Description | The flow rate through this sensor configuration is maintained at a steady rate by the inertia balanced SBE-5 pump. |
| Generic Instrument Description | The Sea-Bird SBE 5T or 5P pumps are a modular component on several Sea-Bird CTD packages. The 5T or 5P is standard equipment on the SBE 9plus CTD and 25 and 25plus Sealogger CTD, and optional equipment on the SBE 16plus V2, 16plus-IM V2, and 19plus V2 SeaCAT CT(D) recorders. The highly reliable pump flushes water through the conductivity cell at a constant rate, independent of the CTD’s motion, improving dynamic performance. Operational characteristics of the 5T and 5P are identical, but the housings and depth ratings differ (5T titanium housing to 10,500 m; 5P plastic housing to 600 m). |
| Dataset-specific Instrument Name | Chelsea/SeaTech transmissometer |
| Generic Instrument Name | Sea Tech Transmissometer |
| Dataset-specific Description | Additional sensors for CTD sampling include the WET Labs C-Star or Chelsea/Seatech Transmissometer. |
| Generic Instrument Description | The Sea Tech Transmissometer can be deployed in either moored or profiling mode to estimate the concentration of suspended or particulate matter in seawater. The transmissometer measures the beam attenuation coefficient in the red spectral band (660 nm) of the laser lightsource over the instrument's path-length (e.g. 20 or 25 cm). This instrument designation is used when specific make and model are not known. The Sea Tech Transmissometer was manufactured by Sea Tech, Inc. (Corvalis, OR, USA). |
| Dataset-specific Instrument Name | SBE 43 Dissolved Oxygen Sensor |
| Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
| Generic Instrument Description | The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. More information from the manufacturer: https://www.seabird.com/products/sbe-43-dissolved-oxygen-sensor |
| Dataset-specific Instrument Name | Sea-Bird SBE-3F temperature sensor |
| Generic Instrument Name | Sea-Bird SBE-3 Temperature Sensor |
| Generic Instrument Description | The SBE-3 is a slow response, frequency output temperature sensor manufactured by Sea-Bird Electronics, Inc. (Bellevue, Washington, USA). It has an initial accuracy of +/- 0.001 degrees Celsius with a stability of +/- 0.002 degrees Celsius per year and measures seawater temperature in the range of -5.0 to +35 degrees Celsius. More information from Sea-Bird Electronics: https://www.seabird.com/products/sbe-3-oceanographic-temperature-sensor |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Sea-Bird SBE-4 Conductivity Sensor |
| Generic Instrument Description | The Sea-Bird SBE-4 conductivity sensor is a modular, self-contained instrument that measures conductivity from 0 to 7 Siemens/meter. The sensors (Version 2; S/N 2000 and higher) have electrically isolated power circuits and optically coupled outputs to eliminate any possibility of noise and corrosion caused by ground loops. The sensing element is a cylindrical, flow-through, borosilicate glass cell with three internal platinum electrodes. Because the outer electrodes are connected together, electric fields are confined inside the cell, making the measured resistance (and instrument calibration) independent of calibration bath size or proximity to protective cages or other objects. |
| Dataset-specific Instrument Name | WET Labs C-Star Transmissometer |
| Generic Instrument Name | WET Labs {Sea-Bird WETLabs} C-Star transmissometer |
| Dataset-specific Description | Additional sensors for CTD sampling include the WET Labs C-Star or Chelsea/Seatech Transmissometer. |
| Generic Instrument Description | The C-Star transmissometer has a novel monolithic housing with a highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating.
More information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2016-07-09 |
| End Date | 2016-07-12 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2016-09-07 |
| End Date | 2016-09-09 |
| Description | Cruise for project "Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria" |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2017-03-29 |
| End Date | 2017-04-04 |
| Description | Cruise for project "Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria". |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2017-07-08 |
| End Date | 2017-07-11 |
| Description | Project BIOS-SCOPE |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2018-07-03 |
| End Date | 2018-07-06 |
| Description | Project BIOS-SCOPE |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2019-05-20 |
| End Date | 2019-05-23 |
| Description | Additional cruise data may be available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/AE1910 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Report | |
| Start Date | 2019-07-08 |
| End Date | 2019-07-11 |
| Description | Project BIOS-SCOPE |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2021-08-05 |
| End Date | 2021-08-08 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2021-11-10 |
| End Date | 2021-11-13 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2022-07-07 |
| End Date | 2022-07-10 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2023-07-01 |
| End Date | 2023-07-19 |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2024-03-18 |
| End Date | 2024-03-23 |
| Description | Project: BIOS SCOPE |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2025-05-14 |
| End Date | 2025-05-17 |
| Description | Project: BBIOS-SCOPE II - An interdisciplinary Exploration of Microbial Oceanography in the North Atlantic Subtropical Gyre |
The aim of BIOS-SCOPE is to expand knowledge about the BATS ecosystem and achieve a better understanding of ocean food web sources, sinks and transformations of DOM. Advances in knowledge and technology now poise us to investigate the specific mechanisms of DOM incorporation, oxidation and transformation by zooplankton and the distinct microbial plankton communities that have been discovered at BATS.
The overarching goal of the BIOS-SCOPE is to form and foster collaborations of cross disciplinary science that utilize a broad suite of genomic, chemical, ecological, and biogeochemical approaches to evaluate microbial process, structure and function on various scales. These scales will range from organism-compound and organism-organism interactions to large biogeochemical patterns on the ecosystem scale. For this purpose we have assembled a cross-disciplinary team including microbial oceanographers (Carlson and Giovannoni), a chemical oceanographer (Kujawinski), biological oceanographer / zooplankton ecologists (Maas and Blanco-Bercial) and microbial bioinformatician (Temperton) with the expertise and technical acuity that are needed to study complex interactions between food web processes, microbes and DOM quantity and quality in the oligotrophic ocean. This scientific team has a vision of harnessing this potential to produce new discoveries that provide a mechanistic understanding of the carbon cycle and explain the many emergent phenomenon that have yet to be understood.
For additional details:
BIOSSCOPE I: November 1st, 2015 through October 31st, 2020
Current: November 1st, 2020 to October 31st, 2025
| Funding Source | Award |
|---|---|
| Simons Foundation (Simons) |