PANGAEA_996416 Total chlorophyll a and phytoplankton functional type chlorophyll a concentrations estimated from underway hyperspectral spectrophotometric measurements during the Atlantic Ocean transect of RV Polarstern cruise PS113 Mehdipour, Ehsan; Xi, Hongyan; Bracher, Astrid Total chlorophyll a and phytoplankton functional type chlorophyll a concentrations estimated from underway hyperspectral spectrophotometric measurements during the Atlantic Ocean transect of RV Polarstern cruise PS113 2026-08-10 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.996416 Investigator Ehsan Mehdipour Earth Science Event label DATE/TIME LATITUDE LONGITUDE Chlorophyll a Chlorophyll a, Diatoms Chlorophyll a, Dinoflagellata Chlorophyll a, Haptophyta Chlorophyll a, Green Algae Chlorophyll a, Prokaryotes Chlorophyll a, logarithm Chlorophyll a, Diatoms, logarithm Chlorophyll a, Dinoflagellata, logarithm Chlorophyll a, Haptophyta, logarithm Chlorophyll a, Green Algae, logarithm Chlorophyll a, Prokaryotes, logarithm Chlorophyll a, logarithm, uncertainty Chlorophyll a, Diatoms, logarithm, uncertainty Chlorophyll a, Dinoflagellata, logarithm, uncertainty Chlorophyll a, Haptophyta, logarithm, uncertainty Chlorophyll a, Green Algae, logarithm, uncertainty Chlorophyll a, Prokaryotes, logarithm, uncertainty geoscientificInformation Atlantic Ocean Atlantic Ocean transect Chlorophyll a phytoplankton functional types PS113 PS113-track spectrophotometry Underway cruise track measurements Underway measurements Base-10 logarithm (log10) Polarstern 2018-05-10 2018-06-09 Complete -47.658616 50.393368 -60.716953 0.501904 4D-Phyto 4-D Phytoplankton composition from small to large scale by data fusion using AI FRAM FRontiers in Arctic marine Monitoring AWI_INSPIRES International Science Program for Integrative Research in Earth Systems unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 404550 data points text/tab-separated-values Mehdipour, Ehsan; Xi, Hongyan; Barth, Alexander; Wilhelm, Adalbert; Bracher, Astrid (2026): Fusion of Multisource Data for Comprehensive Assessment of Phytoplankton Composition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 18679-18701, https://doi.org/10.1109/JSTARS.2026.3696195 (2026a) Bracher, Astrid; Xi, Hongyan; von Appen, Wilken-Jon; Mehdipour, Ehsan; Metfies, Katja; McPherson, Rebecca; Zeising, Moritz; Nöthig, Eva-Maria (2025): Resolving the interannual variability of phytoplankton community composition in Fram Strait using ship-based high-frequency spectrophotometric measurements from 2015 to 2024. Deep Sea Research Part II: Topical Studies in Oceanography, https://doi.org/10.1016/j.dsr2.2025.105568 Mehdipour, Ehsan; Xi, Hongyan; Wilhelm, Adalbert; Bracher, Astrid (2026): Technical Description of a Reproducible Data Science Workflow for Gap-Filling Satellite Phytoplankton Functional Type Products and Fusion with In Situ Optical Data. Zenodo, https://doi.org/10.5281/zenodo.21737214 (2026b)

This dataset provides high-spatial-resolution (approximately 300 m) estimates of total chlorophyll a concentration and chlorophyll a concentrations of five phytoplankton functional types, including diatoms, dinoflagellates, haptophytes, green algae, and prokaryotic phytoplankton. The products were generated by applying an EOF–GLM model to particulate absorption spectra derived from continuous hyperspectral spectrophotometric measurements of absorption and beam attenuation acquired through the ship's underway seawater intake system during RV Polarstern cruise PS113 between 10 May and 9 June 2018. The model was trained using paired ACS-derived particulate absorption spectra and HPLC-derived pigment observations and subsequently applied to the complete particulate absorption dataset to generate continuous chlorophyll a concentrations. The final products were averaged into 1 min intervals and include the associated uncertainty estimates. Further details on the methodology are provided in Mehdipour et al. (2026a, 2026b) and Bracher et al. (2026). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.996416"!

http://en.wikipedia.org/wiki/ISO_6709 LATITUDE http://en.wikipedia.org/wiki/ISO_6709 LONGITUDE http://en.wikipedia.org/wiki/ISO_8601 DATE/TIME https://doi.org/10.1016/j.dsr2.2025.105568 Resolving the interannual variability of phytoplankton community composition in Fram Strait using ship-based high-frequency spectrophotometric measurements from 2015 to 2024 https://doi.org/10.1109/JSTARS.2026.3696195 Fusion of Multisource Data for Comprehensive Assessment of Phytoplankton Composition https://doi.org/10.17815/jlsrf-3-163 Polarstern https://doi.org/10.5281/zenodo.21737214 Technical Description of a Reproducible Data Science Workflow for Gap-Filling Satellite Phytoplankton Functional Type Products and Fusion with In Situ Optical Data https://hdl.handle.net/10013/epic.32187.d001 Chlorophyll a https://www.awi.de/en/science/research-infrastructure/observatories/ocean-fram.html FRAM https://www.mardata.de/research/2nd-cohort/4-d-phytoplankton-composition-from-small-to-large-scale-by-data-fusion-using-ai/ 4D-Phyto DIF 9.4 2026-08-10 2026-08-10