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Dataset Title:  [Synechococcus Batch Culture Sampling Data] - Synechococcus batch culture
data (cell quotas and ratios (C,N,P), size, and diameter) from laboratory
experiments in 2021 to 2022 with related isolates cultured across a range of
temperatures (16-25C) (Collaborative Research: The stoichiometric trait
distribution of the marine microbiome)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_926311_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Rep (unitless) ?          "1"    "3"
 Temp (degrees Celsius (degC)) ?          16    25
 Strain (unitless) ?          "BL107"    "ROS8604"
 Clade (unitless) ?          "I"    "IV"
 GR (Growth rate per day (d-1)) ?          0.03442962    0.5025793
 QN (femtomoles (fmol)) ?          0.7108176    6.905584
 QP (femtomoles (fmol)) ?          0.04144923    0.4745373
 QC (femtomoles (fmol)) ?          2.946481    43.29555
 FSCH (unitless) ?          4638.5    105680.0
 CN (unitless) ?          4.1452    11.18998
 NP (unitless) ?          6.421976    22.63979
 CP (unitless) ?          52.12025    155.5344
 Cell_Diameter_um (micrometers (um)) ?          0.638    1.298
 Grams_N (grams (g)) ?          9.96E-15    9.67E-14
 Grams_P (grams (g)) ?          1.28E-15    1.47E-14
 Grams_C (grams (g)) ?          3.54E-14    5.2E-13
 isolation_sample_date (unitless) ?          "1986-11-24"    "2001-03-15"
 isolation_lat (degrees_north) ?          31.91    48.72
 longitude (Isolation_lon, degrees_east) ?          -124.17    3.55
  < slider >
 depth (Isolation_depth, m) ?          0    1800
  < slider >
 isolation_location (unitless) ?          "Atlantic Ocean"    "Pacific Ocean"
 isolation_site (unitless) ?          "Balearic Sea"    "California current"
 isolation_ecosystem (unitless) ?          "coastal"    "pelagic"
 RCC_Number (unitless) ?          "RCC1086"    "RCC515"
 RCC_Link (unitless) ?          "https://roscoff-cu..."    "https://roscoff-cu..."
 
Server-side Functions ?
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File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Rep {
    String long_name "Rep";
    String units "unitless";
  }
  Temp {
    Int32 actual_range 16, 25;
    String long_name "Temp";
    String units "degrees Celsius (degC)";
  }
  Strain {
    String long_name "Strain";
    String units "unitless";
  }
  Clade {
    String long_name "Clade";
    String units "unitless";
  }
  GR {
    Float32 actual_range 0.03442962, 0.5025793;
    String long_name "Gr";
    String units "Growth rate per day (d-1)";
  }
  QN {
    Float32 actual_range 0.7108176, 6.905584;
    String long_name "Qn";
    String units "femtomoles (fmol)";
  }
  QP {
    Float32 actual_range 0.04144923, 0.4745373;
    String long_name "Qp";
    String units "femtomoles (fmol)";
  }
  QC {
    Float32 actual_range 2.946481, 43.29555;
    String long_name "Qc";
    String units "femtomoles (fmol)";
  }
  FSCH {
    Float32 actual_range 4638.5, 105680.0;
    String long_name "Fsch";
    String units "unitless";
  }
  CN {
    Float32 actual_range 4.1452, 11.18998;
    String long_name "Cn";
    String units "unitless";
  }
  NP {
    Float32 actual_range 6.421976, 22.63979;
    String long_name "Np";
    String units "unitless";
  }
  CP {
    Float32 actual_range 52.12025, 155.5344;
    String long_name "Cp";
    String units "unitless";
  }
  Cell_Diameter_um {
    Float32 actual_range 0.638, 1.298;
    String long_name "Cell_diameter_um";
    String units "micrometers (um)";
  }
  Grams_N {
    Float32 actual_range 9.96e-15, 9.67e-14;
    String long_name "Grams_n";
    String units "grams (g)";
  }
  Grams_P {
    Float32 actual_range 1.28e-15, 1.47e-14;
    String long_name "Grams_p";
    String units "grams (g)";
  }
  Grams_C {
    Float32 actual_range 3.54e-14, 5.2e-13;
    String long_name "Grams_c";
    String units "grams (g)";
  }
  isolation_sample_date {
    String long_name "Isolation_sample_date";
    String units "unitless";
  }
  isolation_lat {
    Float32 actual_range 31.91, 48.72;
    String long_name "Isolation_lat";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.17, 3.55;
    String axis "X";
    String ioos_category "Location";
    String long_name "Isolation_lon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 0, 1800;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Isolation_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  isolation_location {
    String long_name "Isolation_location";
    String units "unitless";
  }
  isolation_site {
    String long_name "Isolation_site";
    String units "unitless";
  }
  isolation_ecosystem {
    String long_name "Isolation_ecosystem";
    String units "unitless";
  }
  RCC_Number {
    String long_name "Rcc_number";
    String units "unitless";
  }
  RCC_Link {
    String long_name "Rcc_link";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.926311.1";
    Float64 Easternmost_Easting 3.55;
    Float64 geospatial_lon_max 3.55;
    Float64 geospatial_lon_min -124.17;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1800.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-10-19T23:44:29Z (local files)
2024-10-19T23:44:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926311_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/926311";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"Diverse phytoplankton modulate the coupling between the ocean carbon and nutrient cycles through life-history traits such as cell size, elemental quotas, and ratios. Biodiversity is mostly considered at broad functional levels, but major phytoplankton lineages are themselves highly diverse. As an example, Synechococcus is found in nearly all ocean regions, and we demonstrate contains extensive intraspecific variation. Here, we grew four closely related Synechococcus isolates in serially transferred cultures across a range of temperatures (16-25°C) to quantify for the relative role of intraspecific trait variation vs. environmental change. We collected data at the time of sampling, after cultures grew for seven doublings or one month.   Experiments were conducted from September of 2021 to early 2022.

This dataset includes cell quotas (fmol) for carbon (QC), nitrogen (QN), and phosphorus (QP). It also includes N:P, C:N, and C:P stoichiometry, cell size, and cell diameter (µm) for each Synechococcus strain and clade under each thermal condition.";
    String title "[Synechococcus Batch Culture Sampling Data] - Synechococcus batch culture data (cell quotas and ratios (C,N,P), size, and diameter) from laboratory experiments in 2021 to 2022 with related isolates cultured across a range of temperatures (16-25C) (Collaborative Research: The stoichiometric trait distribution of the marine microbiome)";
    Float64 Westernmost_Easting -124.17;
  }
}

 

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tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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