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5 results for “phytoplankton biovolume”
Abundance, biovolume, and biomass of Synechococcus, eukaryote pico- and nano- phytoplankton, and heterotrophic bacteria from flow cytometry for water column bottle samples on NES-LTER Transect cruises, ongoing since 2018
These data represent the abundance, biovolume, and biomass of prokaryotic phytoplankton, eukaryotic pico- and nano- phytoplankton, and heterotrophic bacteria from discrete flow cytometry samples collected during the Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2018. Samples were collected and preserved from the water column at multiple depths using Niskin bottles on a CTD rosette system along the NES-LTER transect, and analyzed post cruise. Cells were identified and enumerated from the flow cytometry data files based on their scattering, SYBR (525 nm), phycoerythrin (575 nm) and chlorophyll (680 nm) fluorescence signals. Gating was completed manually in the Attune NXT software interface.
Phytoplankton list of taxa and cell biovolume from a subtropical coastal lagoon, South America
<p>We share information about the phytoplankton community from a subtropical coastal lagoon, Laguna de Rocha, a Biosphere Reserve, located in Uruguay, South America (34°37'60" S, 54°18'0" W). The lagoon is ~ 72 km2 with a mean depth of 0.5 m, and is characterized by a strong South-North salinity gradient that reflects its intermittent connection to the Atlantic Ocean (in the South). The lagoon has been subject to eutrophication in the last several decades. The dataset presented here belongs to the publication of Bonilla et al., 2005 (doi.org/10.1007/BF02696017). We present the complete list of phytoplankton taxa identified in a survey (1996-2000) for two sites, South and North, locations described in figure 1 (Bonilla et al., 2005). We also presented the cellular linear measurements and the cell biovolume of the most representative taxa. We believe these data are useful for the scientific community interested in phytoplankton dynamics, diversity and calculation of biomass (biovolume).</p>
Abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway with an Imaging FlowCytobot along the NES-LTER Transect in winter 2018
These data represent the abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway along the NES-LTER Transect during cruise EN608 in winter 2018. Images were obtained with an Imaging FlowCytobot (IFCB) sampling at approximately 20-min intervals from seawater supplied from 5 meters water depth. Data are provided for the subset of images during the cruise that were on the north-south transect along longitude 70 53’ W. Sizes for individuals were determined automatically by image processing, while identifications to morphological categories were done manually. Data are provided by taxon with names and machine-readable identifiers matched to the lowest taxonomic level to the World Register of Marine Species. Two data tables are provided: the level 1b for each occurrence and the level 2 that summarizes the occurrences by taxon per sample. Individual and sample identifiers are linked to images served by an external repository. This data package provides 144,281 machine-readable occurrences for incorporation into the Ocean Biogeographic Information System and the Global Ocean Observing System Essential Ocean Variables Phytoplankton biomass and diversity and the microplankton size class of Zooplankton biomass and diversity.
Biovolumes data of the phytoplankton communities in mesocosm experiments
<p>To test the short-term response of the phytoplankton community of an African lake, Lagoon Aghien (Ivory Coast), to the addition of nutrients (phosphorus and nitrogen, alone or in combination) and Nile tilapia, we implemented an <em>in situ</em> mesocosm experiment in two stations of this lagoon. The composition of the phytoplankton communities in these mesocosms was estimated at Day 0, Day 3 and Day 7 and the biovolume values of each genus were reported in the table.</p>
Dataset: Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering
<p>This dataset contains all relevant data for the manuscript (in submission) "<em>Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering</em>".</p> <p>Code written to analyse this dataset (which may be adapted for other flow cytometry datasets) is found at https://zenodo.org/record/999747</p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Naming convention for raw flow cytometry data files (located in /Script 3. Generating raw data subset/input/):</p> <p>[Allparameters] _ [Year] - [Month] - [Date] [Hour] [u] [Minute] _ [Depth]</p> <p>e.g: Allparameters_2014-07-31 08u08_1.0m</p> <p>The date, time and depth indicate the location and time at which the measurement was taken.</p>
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