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Dataset Title:  [Prochlorococcus in situ growth rates] - Prochlorococcus in situ growth rates
from cell cycle analysis from RV Cape Hatteras cruises CH0409 and CH0510 in the
Western Sargasso Sea in 2009 and 2010. (Top-Down Regulation of
Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant /
Dilution Approach)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_717001)
Range: longitude = -72.766 to -72.004°E, latitude = 30.158 to 30.717°N, depth = 40.0 to 125.0m, time = 2009-05-26T17:58:00Z to 2010-05-30T13:33:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String bcodmo_name "cruise_id";
    String description "R/V Cape Hatteras Cruise Designation";
    String long_name "Cruise";
    String units "unitless";
  }
  Wx {
    String bcodmo_name "exp_id";
    String description "Experiment Designation";
    String long_name "WX";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 40.0, 125.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sample depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  date_start_UTC {
    String bcodmo_name "date_start";
    String description "Starting date; yyyy/mm/dd";
    String long_name "Date Start UTC";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time_start_UTC {
    String bcodmo_name "time_start";
    String description "Starting time; hh:mm";
    String long_name "Time Start UTC";
    String units "unitless";
  }
  date_end_UTC {
    String bcodmo_name "date_end";
    String description "End date; yyyy/mm/dd";
    String long_name "Date End UTC";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time_end_UTC {
    String bcodmo_name "time_end";
    String description "End time; hh:mm";
    String long_name "Time End UTC";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 30.158, 30.717;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Lowest Latitude among set of stations";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_min";
    String standard_name "latitude";
    String units "degrees_north";
  }
  lat_max {
    Float32 _FillValue NaN;
    Float32 actual_range 30.176, 30.874;
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Highest Latitude among set of stations";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -72.766, -72.004;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Lowest Longitude among set of stations";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_min";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lon_max {
    Float32 _FillValue NaN;
    Float32 actual_range 30.176, 30.874;
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Highest Longitude among set of stations";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  Td {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 0.61;
    String bcodmo_name "duration";
    String description "Calculated duration of terminal cell cycle phase";
    String long_name "TD";
    String units "days";
  }
  pro_gr_cc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.18, 0.74;
    String bcodmo_name "growth";
    String description "Prochlorococcus growth rate based on cell cycle";
    String long_name "Pro Gr Cc";
    String units "day -1";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.24336068e+9, 1.27522638e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "DateTime UTC; ISO formatted";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Prochlorococcus growth rates were calculated from diel time courses of the
cell cycle phase fractions in data set ProCellCyclePhase from this project, as
described in McDuff & Chisholm (1982) and modified by Liu et al. (1997). These
calculations require an estimate of Td, the duration of the terminal cell
cycle phase (in this case the combined duration of S and G2). Td is derived
here using the areal median of the S and G2 time series (Braunwarth and Sommer
1985) as recommended by Hynes et al. (2015).";
    String awards_0_award_nid "709338";
    String awards_0_award_number "OCE-0751672";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0751672";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Prochlorococcus in situ Growth Rates 
  B. Binder, PI 
  Version 12 October 2017";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2017-10-13T22:04:38Z";
    String date_modified "2019-03-19T14:34:53Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.717001.1";
    Float64 Easternmost_Easting -72.004;
    Float64 geospatial_lat_max 30.717;
    Float64 geospatial_lat_min 30.158;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -72.004;
    Float64 geospatial_lon_min -72.766;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 125.0;
    Float64 geospatial_vertical_min 40.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-14T04:55:44Z (local files)
2024-11-14T04:55:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_717001.das";
    String infoUrl "https://www.bco-dmo.org/dataset/717001";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, cruise, data, dataset, date, date_end_UTC, date_start_UTC, depth, dmo, end, erddap, iso, lat_max, latitude, lon_max, longitude, management, oceanography, office, preliminary, pro, pro_gr_cc, start, time, time_end_UTC, time_start_UTC";
    String license "https://www.bco-dmo.org/dataset/717001/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/717001";
    Float64 Northernmost_Northing 30.717;
    String param_mapping "{'717001': {'lon_min': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time', 'Depth': 'flag - depth', 'lat_min': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/717001/parameters";
    String people_0_affiliation "University of Georgia";
    String people_0_affiliation_acronym "UGA";
    String people_0_person_name "Dr Brian Binder";
    String people_0_person_nid "50893";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Picophytoplankton_Regulation";
    String projects_0_acronym "Picophytoplankton_Regulation";
    String projects_0_description 
"The intellectual merit of the research is to extend our understanding of the biology and ecology of marine picophytoplankton, a group of microbes that are responsible for a large proportion of the total photosynthetic carbon fixation that occurs in the world's oceans. The importance of picophytoplankton as the dominant primary producers in open-ocean ecosystems is well-established. However, the factors that regulate the distribution and abundance of these populations remain poorly understood. The investigators will explore the dynamics of top-down (grazer-mediated) regulation of picophytoplankton populations in a specific context: the maintenance of summertime subsurface maxima in the pico-cyanobacterium Prochlorococcus (but not Synechococcus) in the Sargasso Sea. This phenomenon represents a relatively simple and predictable model system within which to test hypotheses about the regulation of oceanic picophytoplankton in general.
Recent results suggest that despite their abundance, Prochlorococcus in the subsurface maxi-mum are growing (and being grazed) rather slowly, as compared to the smaller population at the surface. In order to understand the factors responsible for this apparent paradox, this project will use a combination of field and laboratory studies to characterize and compare the interactions between Prochorococcus and its protozoan grazers at these two contrasting depths, and in relation to Synechococcus, which forms no such sub-surface maximum.
The broader impacts include training for graduate and undergraduate students. In addition, given the significance of picophytoplankton as primary producers at the base of oceanic microbial food webs, the results of this project should inform efforts to describe and model the broader oceanic ecosystem, and ultimately to understand its role in the global carbon cycle.";
    String projects_0_end_date "2013-02";
    String projects_0_geolocation "Western Sargasso Sea (vicinity of 30 N 72 W)";
    String projects_0_name "Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach";
    String projects_0_project_nid "709339";
    String projects_0_start_date "2008-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 30.158;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Prochlorococcus in situ growth rates from cell cycle analysis from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010.";
    String time_coverage_end "2010-05-30T13:33:00Z";
    String time_coverage_start "2009-05-26T17:58:00Z";
    String title "[Prochlorococcus in situ growth rates] - Prochlorococcus in situ growth rates from cell cycle analysis from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010. (Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach)";
    String version "1";
    Float64 Westernmost_Easting -72.766;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

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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