10.1594/PANGAEA.941138Paul, Allanah JoyAllanah JoyPaul0000-0003-1037-5239Arístegui, JavierJavierArístegui0000-0002-7526-7741Bach, Lennart ThomasLennart ThomasBach0000-0003-0202-3671Hernández-Hernández, NauzetNauzetHernández-Hernández0000-0003-1503-4214Piiparinen, JonnaJonnaPiiparinen0000-0002-6464-7802Riebesell, UlfUlfRiebesell0000-0002-9442-452XSpilling, KristianKristianSpilling0000-0002-8390-8270PANGAEA2022CDOMeastern tropical South Pacific Oceanenzyme activityKOSMOSnutrientsPhytoplanktonSFB754upwelling systemsTank numberTreatmentReplicateDATE/TIMEDay of experimentNitrate and NitriteSilicateNitritePhosphateNitrateExcess phosphateNitrogen, inorganic, dissolved/Phosphorus, inorganic, dissolved ratioChlorophyll aNutrient consumption ratioPhytoplankton cells, phycocyanin-containing (FL-4)SynechococcusCryptophytesPhytoplankton cells, chainsPicoeukaryotesMicrophytoplanktonNanoplanktonPhytoplankton, forward scatterAbsorption coefficient, colored dissolved organic matter at 325 nmAbsorption coefficient, colored dissolved organic matter at 254 nmAbsorption coefficient, colored dissolved organic matter 250 nm/365 nm, ratioMaximum photochemical quantum yield of photosystem IILeucine aminopeptidase activityMesocosm experimentContinuous flow analyser, colorimetric determinationCalculatedFluorometricFlow cytometrySpectrophotometricFluorometer, fast repetition rateEnzymatic assayKOSMOS_2017Climate - Biogeochemistry Interactions in the Tropical Ocean (SFB754)Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean (AQUACOSM)2017-03-18T00:00:00/2017-03-28T00:00:00Dataset10.5194/bg-19-5911-20226238 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalThis data was collected during an short-term incubation experiment in March 2017 that investigated the response of a surface plankton community to upwelling. This experiment was carried in the framework of the SFB754-funded KOSMOS mesocosm study that took place in La Punta, Callao, Peru between February-April 2017. A total of six different treatments were used to disentangle chemical and biological characteristics of deep water that influence surface plankton blooms: 2 different deep water sources with different nutrient concentrations; 3 treatments to distinguish the effects of inorganic nutrients, organic nutrients and deep water microbial populations. Measured variables include inorganic nutrient concentrations, phytoplankton abundances, Chlorophyll a, cDOM, and rates of leucine aminopeptidase activity.-77.235-12.055Academy of Finlandhttps://doi.org/10.13039/501100002341259164Australian Research Councilhttps://doi.org/10.13039/501100000923FT200100846ARC Future Fellowships Grant ID: FT200100846Federal Ministry of Education and Researchhttps://doi.org/10.13039/50110000234712-016ASLAELGerman Research Foundationhttps://doi.org/10.13039/50110000165927542298Climate - Biogeochemistry Interactions in the Tropical OceanGerman Research Foundationhttps://doi.org/10.13039/501100001659RI-598/9-1Leibniz Award 2012Helmholtz Association of German Research Centreshttps://doi.org/10.13039/501100001656Helmholtz International Fellow Award 2015Horizon 2020https://doi.org/10.13039/501100007601731065Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the MediterraneanNational Agency for Research and Developmenthttps://doi.org/10.13039/501100002848FONDECYT 3170156National Agency for Research and Developmenthttps://doi.org/10.13039/501100002848R20F0008Climate Action Planning