NSF-OOI Fluorometric Chl-a, FDOM, and Backscatter, 2014-2026

This dataset consists of bin-averaged (1-minute or 1-meter) fluorometric chlorophyll-a, fluorometric dissolved organic matter, and/or optical backscatter measurements from each of the NSF-OOI sites, collected between April 2014 to June 2026. WARNING: These data have not been assessed outside the application of automated quality tests or adjusted to discrete samples collected during deployment and recovery cruises. It is recommended that you review the OOI BGC Best Practices Guide for more advanced processing steps. Profiler data have also not been corrected for any difference in height between the fluorometer and the CTD pressure sensor. Data are organized by site, platform, position in the water column, instrument, and deployment. Example: RCA-AXIAL-SHALLOW-PROFILER Indicates that the data are from the Regional Cabled Array Axial Seamount Shallow Profiler. Another Example: CE-OR-INSHORE-7M Indicates that the data are from the Coastal Endurance Array Oregon Inshore Site 7 meters nominal depth. CE-OR = Coastal Endurance Oregon CE-WA = Coastal Endurance Washington RCA-AXIAL = Regional Cabled Array Axial Seamount RCA-OR-SLOPE = Regional Cabled Array Oregon Slope CP-NES = Coastal Pioneer New England Shelf CP-MAB = Coastal Pioneer Mid-Atlantic Bight GS = Global Southern Ocean GI = Global Irminger GA = Global Argentine Basin GP = Global Station Papa FCHLA = Fluorometric Chlorophyll-a FDOM = Fluorometric Dissolved Organic Matter (FDOM) BB = Optical Backscatter For deployments at nominal depths, data are binned into 1-minute averages. For deployments on profilers, data are binned by profile start time and 1-meter averages. Only upward profiles are provided in this curated dataset. Not all fluorometer/scatterometer deployments from the OOI exist in this curated dataset. Many deployments are not provided if data were clearly bad or if the profiler was inoperable. Data have been excluded from the binned product if: They failed the OOI QARTOD primary tests. The profile did not span more than 10 meters. Ancillary data are from the original GoldCopy files and have only been quality assessed through the OOI QARTOD primary flag results. File Structure Category Variable Name Units Description Valid Min/Max dimension profile None For Profile Datasets Only: An iterative profile indicator starting at 1 for the first profile in a deployment. Not Applicable dimension depth meters For Profile Datasets Only: The bin depth. Representative of the center of the bin. Calculated from sea water pressure using gsw. z_from_p Min: 1 Max: 3000 dimension time milliseconds since 1970-01-01 The bin time or profile start time. Min: 2014-04-01T00:00:00Z data sea_water_temperature degrees_Celsius Sea water temperature from a co-located CTD, sonde, or thermosalinograph, linearly interpolated to fluorometer timestamps. Min: 0 Max: 35 data sea_water_practical_salinity PSU Sea water practical salinity from a co-located CTD, sonde, or thermosalinograph, linearly interpolated to fluorometer timestamps. Min: 0 Max: 42 data sea_water_pressure dbar Sea water pressure from a co-located CTD, sonde, or thermosalinograph, linearly interpolated to fluorometer timestamps. Min:0 Max: 5000 data sea_water_density kg · m-3 Sea water density calculated from temperature, salinity, and pressure. Min: 1000 Max: 1042 data fchla ug · L-1 Fluorometrically derived chlorophyll-a. Min: 0 Max: 50 data fdom ppb Fluorometrically derived dissolved organic matter. Sometimes called CDOM. Min: 0 Max: 375 data optical_backscatter m-1 The backscattering of light. Min: 0 Max: 5 statistic *_std Same as parent variable. The standard deviation of the data within the bin for each parent variable. Not Applicable statistic *_count Not Applicable The number of samples within each bin that make up the mean and standard deviation values. Not Applicable The best method for accessing the raw data files is through the OOI GoldCopy THREDDS Data Server. The OOI JupyterHub was used to create this curated dataset. This resource is free to use and supports data access through Python, R, Julia, and MATLAB. Users are encouraged to use this resource for analysis of this curated dataset.