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     data   graph     files  public Picoeukaryotic phytoplankton observations from available public repositories and primary
sources from from 1988-2007
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson
attribute NC_GLOBAL acquisition_description String ""
attribute NC_GLOBAL awards_0_award_nid String 764269
attribute NC_GLOBAL awards_0_award_number String OCE-1848576
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1848576 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL awards_1_award_nid String 783470
attribute NC_GLOBAL awards_1_award_number String PICT-2017-3020
attribute NC_GLOBAL awards_1_funder_name String Agencia Nacional de Promoción Científica y Tecnológica
attribute NC_GLOBAL awards_1_funding_source_nid String 783468
attribute NC_GLOBAL awards_2_award_nid String 783471
attribute NC_GLOBAL awards_2_award_number String UBACyT 20020170100620BA
attribute NC_GLOBAL awards_2_funder_name String Universidad de Buenos Aires
attribute NC_GLOBAL awards_2_funding_source_nid String 783469
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Picoeukaryotic phytoplankton observations
from available public repositories and primary sources
PI: Adam Martiny (UC Irvine)
Co-PI: Pedro Flombaum (Universidad de Buenos Aires)
Version date: 04-Dec-2019
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2019-12-04T17:30:33Z
attribute NC_GLOBAL date_modified String 2019-12-06T18:05:18Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.783463.1
attribute NC_GLOBAL Easternmost_Easting double 359.51
attribute NC_GLOBAL geospatial_lat_max double 73.06
attribute NC_GLOBAL geospatial_lat_min double -66.1
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double 359.51
attribute NC_GLOBAL geospatial_lon_min double 0.94817
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/783463 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL keywords String active, available, bco, bco-dmo, biological, chemical, chemistry, concentration, data, dataset, day, dmo, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, erddap, latitude, longitude, management, mole, mole_concentration_of_nitrate_in_sea_water, n02, nitrate, no3, ocean, oceanography, oceans, office, optics, PAR, photon, photosynthetic, photosynthetically, picoeukaryotes, preliminary, radiance, radiation, science, sea, seawater, temperature, water, year
attribute NC_GLOBAL keywords_vocabulary String GCMD Science Keywords
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/783463/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/783463 (external link)
attribute NC_GLOBAL Northernmost_Northing double 73.06
attribute NC_GLOBAL param_mapping String {'783463': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/783463/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Irvine
attribute NC_GLOBAL people_0_affiliation_acronym String UC Irvine
attribute NC_GLOBAL people_0_person_name String Adam Martiny
attribute NC_GLOBAL people_0_person_nid String 51402
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String Universidad de Buenos Aires
attribute NC_GLOBAL people_1_person_name String Pedro Flombaum
attribute NC_GLOBAL people_1_person_nid String 783475
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Shannon Rauch
attribute NC_GLOBAL people_2_person_nid String 51498
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String Ocean_Stoichiometry
attribute NC_GLOBAL projects_0_acronym String Ocean_Stoichiometry
attribute NC_GLOBAL projects_0_description String NSF Award Abstract:
Due to their sheer abundance and high activity, microorganisms have the potential to greatly influence how ecosystems are affected by changes in their environment. However, descriptions of microbial physiology and diversity are local and highly complex and thus rarely considered in Earth System Models. Thus, the researchers focus on a convergence research framework that can qualitatively and quantitatively integrate eco-evolutionary changes in microorganisms with global biogeochemistry. Here, the investigators will develop an approach that integrates the knowledge and tools of biologists, mathematicians, engineers, and geoscientists to understand the link between the ocean nutrient and carbon cycles. The integration of data and knowledge from diverse fields will provide a robust, biologically rich, and computationally efficient prediction for the variation in plankton resource requirements and the biogeochemical implications, addressing a fundamental challenge in ocean science. In addition, the project can serve as a road map for many other research groups facing a similar lack of convergence between biology and geoscience.
Traditionally, the cellular elemental ratios of Carbon, Nitrogen, and Phosphorus (C:N:P) of marine communities have been considered static at Redfield proportions but recent studies have demonstrated strong latitudinal variation. Such regional variation may have large - but poorly constrained - implications for marine biodiversity, biogeochemical functioning, and atmospheric carbon dioxide levels. As such, variations in ocean community C:N:P may represent an important biological feedback. Here, the investigators propose a convergence research framework integrating cellular and ecological processes controlling microbial resource allocations with an Earth System model. The approach combines culture experiments and omics measurements to provide a molecular understanding of cellular resource allocations. Using a mathematical framework of increasing complexity describing communicating, moving demes, the team will quantify the extent to which local mixing, environmental heterogeneity and evolution lead to systematic deviations in plankton resource allocations and C:N:P. Optimization tools from engineering science will be used to facilitate the quantitative integration of models and observations across a range of scales and complexity levels. Finally, global ocean modeling will enable understanding of how plankton resource use impacts Earth System processes. By integrating data and knowledge across fields, scales and complexity, the investigators will develop a robust link between variation in plankton C:N:P and global biogeochemical cycles.
attribute NC_GLOBAL projects_0_end_date String 2021-08
attribute NC_GLOBAL projects_0_name String Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry
attribute NC_GLOBAL projects_0_project_nid String 764270
attribute NC_GLOBAL projects_0_start_date String 2018-09
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL Southernmost_Northing double -66.1
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Picoeukaryotic phytoplankton observations from available public repositories and primary sources. Picoeukaryotic phytoplankton are defined as red fluorescent cells larger than Prochlorococcus and less than 2-3 \u00b5m in cell diameter. We only considered cell counts by flow cytometry. Samples covered a latitudinal range from 71.4\u02daN to 66.1\u02daS up to 400 m depth. Ancillary temperature and nitrate records were available for all but 2,334 and 6,530 observations, respectively, which we complemented with 1\u00b0 monthly depth-dependent averages from the World Ocean Atlas (www.nodc.noaa.gov). To avoid analytical issues with detection limits, we imposed a minimum nitrate concentration of 0.01 \u03bcM. We calculated surface PAR (8 d averaged, 0.047\u00b0 grid cell) using SeaWiFS and MODIS observations. Downward PAR was estimated using the attenuation coefficient K\u2084\u2089\u2080 from SeaWiFS and MODIS (https://oceancolor.gsfc.nasa.gov) and corrected for chlorophyll a\u00b3\u2070, and a minimum of 10\u207b\u00b3 E/m\u00b2d was imposed. Latitude, longitude, sample year, date and depth are provided with the field sample.
attribute NC_GLOBAL title String Picoeukaryotic phytoplankton observations from available public repositories and primary sources from from 1988-2007
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double 0.94817
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable year   short  
attribute year _FillValue short 32767
attribute year actual_range short 1988, 2007
attribute year bcodmo_name String year
attribute year description String year of sample
attribute year long_name String Year
attribute year nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ (external link)
attribute year units String unitless
variable day   short  
attribute day _FillValue short 32767
attribute day actual_range short 1, 366
attribute day bcodmo_name String julian_day
attribute day description String Julian Date (1-365)
attribute day long_name String Day
attribute day units String unitless
variable longitude   double  
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double 0.94817, 359.51
attribute longitude axis String X
attribute longitude bcodmo_name String longitude
attribute longitude colorBarMaximum double 180.0
attribute longitude colorBarMinimum double -180.0
attribute longitude description String longitude of sample (GMT=360 and dateline=180 )
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable latitude   double  
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double -66.1, 73.06
attribute latitude axis String Y
attribute latitude bcodmo_name String latitude
attribute latitude colorBarMaximum double 90.0
attribute latitude colorBarMinimum double -90.0
attribute latitude description String latitude of sample (Eq=0 and 90 : -90)
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
variable picoeukaryotes   float  
attribute picoeukaryotes _FillValue float NaN
attribute picoeukaryotes actual_range float 0.83202, 304000.0
attribute picoeukaryotes bcodmo_name String pico_euks
attribute picoeukaryotes description String picoeukaryotes concentration in the sample
attribute picoeukaryotes long_name String Picoeukaryotes
attribute picoeukaryotes nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/PNTX (external link)
attribute picoeukaryotes units String cells per milliliter (cells/ml)
variable Temperature   float  
attribute Temperature _FillValue float NaN
attribute Temperature actual_range float -1.791, 35.43
attribute Temperature bcodmo_name String temperature
attribute Temperature description String water temperature in celsius degrees (Field observation or WOA)
attribute Temperature long_name String Temperature
attribute Temperature nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute Temperature units String degrees C
variable PAR   float  
attribute PAR _FillValue float NaN
attribute PAR actual_range float 0.001, 64.133
attribute PAR bcodmo_name String PAR
attribute PAR colorBarMaximum double 70.0
attribute PAR colorBarMinimum double 0.0
attribute PAR description String photosynthetically available radiation at depth m. Format: surface PAR (8 d averaged, 0.047 grid cell) using SeaWiFS and MODIS observations. Downward PAR was estimated using the attenuation coefficient K490 from SeaWiFS and MODIS (https://oceancolor.gsfc.nasa.gov) and corrected for chlorophyll a30, and a minimum of 10-3 E/m2d was imposed.
attribute PAR long_name String Downwelling Photosynthetic Photon Radiance In Sea Water
attribute PAR units String Einstein per square meter per day (Einstein m-2 day-1)
variable NO3   float  
attribute NO3 _FillValue float NaN
attribute NO3 actual_range float 0.01, 70.55
attribute NO3 bcodmo_name String NO3
attribute NO3 colorBarMaximum double 50.0
attribute NO3 colorBarMinimum double 0.0
attribute NO3 description String Nitrogen concentration (Field observation or WOA)
attribute NO3 long_name String Mole Concentration Of Nitrate In Sea Water
attribute NO3 nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/ (external link)
attribute NO3 units String micromoles per liter (umol/L)

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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