Arctic Ocean Phytoplankton Functional Types from 2003 to 2024: Daily Outputs

Overview This dataset includes the daily Phytoplankton Functional Types (PFTs) data on a Pan-Arctic scale from 2003 to 2024 (April to August). The data were produced by the Takuvik International Research Laboratory (Université Laval and CNRS, Québec, Canada) using the algorithm developed by Orkney et al. (2020), explained in detail in the “Supplemental Material” section of the article. The original algorithm was written in the R programming language and was provided by its author. It has been optimised for faster performance. Variables: Phytoplankton Functional Types (PFTs) Temporal resolutions: daily product. Spatial resolutions: 4 km To distinguish major phytoplankton functional types, the algorithm uses MODIS-Aqua ocean colour reflectance data as input. The original algorithm was developed and calibrated for the Labrador and Barents Seas, and additional work of validation is required when applying it to other Arctic regions. Organization There are 22 zipped files, one per year for the period 2003-2024, from April to August. Each zip file contains 154 daily data files in .parquet format, except for 2022, which contains 139 daily data files because there is no input MODIS-Aqua reflectance data between 1 April and 15 April. Name convention Filename: DATE.parquet DATE in format yyyymmdd yyyy = Four-digit year (e.g, 2003) mm = Two-digit month from 04 (April) to 08 (August) dd = Two-digit day, from 01 to 31 Output file Each daily parquet file contains: Column Name Type Description Units date DATE The date of observation - year DOUBLE The year of observation - longitude DOUBLE The longitude decimal degrees latitude DOUBLE The latitude decimal degrees pixel_class VARCHAR The pixel classification - chlorophyll_guesses DOUBLE Chlorophyll-a concentration estimation mg/m3 rrs_412 DOUBLE Remote sensing reflectance at 412 nm sr-1 rrs_443 DOUBLE Remote sensing reflectance at 443 nm sr-1 rrs_469 DOUBLE Remote sensing reflectance at 469 nm sr-1 rrs_488 DOUBLE Remote sensing reflectance at 488 nm sr-1 rrs_531 DOUBLE Remote sensing reflectance at 531 nm sr-1 rrs_547 DOUBLE Remote sensing reflectance at 547 nm sr-1 rrs_555 DOUBLE Remote sensing reflectance at 555 nm sr-1 rrs_645 DOUBLE Remote sensing reflectance at 645 nm sr-1 rrs_667 DOUBLE Remote sensing reflectance at 667 nm sr-1 rrs_678 DOUBLE Remote sensing reflectance at 678 nm sr-1 The pixel classification (pixel_class) is as follows: coccolithophores sediment cdom phaeocystis ocean diatoms