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Dataset Title:  Synechococcus counts determined by epifluorescent microscopy from samples
collected on R/V Atlantis cruise AT15-61 in the Eastern Tropical South Pacific
in 2010 (Syne_ETSP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3765)
Range: longitude = -100.0 to -80.0°E, latitude = -20.0 to -10.0°N, depth = 5.0 to 200.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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_id {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier.";
    String long_name "Cruise Id";
    String units "text";
  }
  cruise_synonym {
    String bcodmo_name "cruise_id";
    String description "Alternate identifier of the cruise.";
    String long_name "Cruise Synonym";
    String units "text";
  }
  sta {
    Byte _FillValue 127;
    Byte actual_range 1, 11;
    String bcodmo_name "sta";
    String description "Station identifier.";
    String long_name "Sta";
    String units "unitless";
  }
  date_local {
    String bcodmo_name "date_local";
    String description "Local date. format: mm/dd/YYYY";
    String long_name "Date Local";
    String source_name "date_local";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "2-digit month of year, local. format: mm (01 to 12)";
    String long_name "Month Local";
    String units "unitless";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "2-digit day of month, local. format: dd (01 to 31)";
    String long_name "Day Local";
    String units "unitless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2010;
    String bcodmo_name "year";
    String description "4-digit year. format: YYYY";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -100.0, -80.0;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude in degrees East. Negative = West.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lon_360 {
    Int16 _FillValue 32767;
    Int16 actual_range 260, 280;
    String bcodmo_name "lon_360";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude ranging from 0 to 360 degrees. Calculated from the original lon_360 provided by PI.";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -20.0, -10.0;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude in degrees North. Negative = South.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 5.0, 200.0;
    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";
  }
  cells_per_field {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 160.0;
    String bcodmo_name "unknown";
    String description "cells/field";
    String long_name "Cells Per Field";
    String units "unitless";
  }
  vol_filt {
    Int16 _FillValue 32767;
    Int16 actual_range 5, 300;
    String bcodmo_name "vol_filt";
    String description "Volume filtered in milliliters.";
    String long_name "Vol Filt";
    String units "mL";
  }
  area_filter {
    Float64 _FillValue NaN;
    Float64 actual_range 1.886911488e+8, 2.5446798e+8;
    String bcodmo_name "unknown";
    String description "Area of filter in square micrometers.";
    String long_name "Area Filter";
    String units "um^2";
  }
  fields_per_filter {
    Float32 _FillValue NaN;
    Float32 actual_range 662.0, 2647.9;
    String bcodmo_name "unknown";
    String description "fields/filter";
    String long_name "Fields Per Filter";
    String units "unitless";
  }
  abundance {
    Int16 _FillValue 32767;
    Int16 actual_range 3, 16886;
    String bcodmo_name "coccus_s_mic";
    String description "Synechococcus abundance in cells per milliliter.";
    String long_name "Abundance";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/P700M90Z/";
    String units "cells/mL";
  }
  abund_log {
    Float32 _FillValue NaN;
    Float32 actual_range 0.53, 4.23;
    String bcodmo_name "coccus_s_mic";
    String description "Log of synechococcus abundance in cells per milliliter.";
    String long_name "Abund Log";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/P700M90Z/";
    String units "cells/mL";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "Dates are given in local (Chile) time. Clocks were not adjusted while at sea.";
    String awards_0_award_nid "54951";
    String awards_0_award_number "OCE-0825922";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0825922";
    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 awards_1_award_nid "55106";
    String awards_1_award_number "OCE-0943319";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0943319";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Synechococcus epifluorescent microscopy counts 
  from AT15-61 (ETSP2010) cruise 
 PI: Eric Webb (USC) 
 Version: 20 July 2012";
    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 "2012-10-31T15:25:02Z";
    String date_modified "2019-08-01T18:32:00Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3765.1";
    Float64 Easternmost_Easting -80.0;
    Float64 geospatial_lat_max -10.0;
    Float64 geospatial_lat_min -20.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -80.0;
    Float64 geospatial_lon_min -100.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 200.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-12T09:40:44Z (local files)
2022-08-12T09:40:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3765.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3765";
    String institution "BCO-DMO";
    String keywords "abund, abund_log, abundance, area, area_filter, bco, bco-dmo, biological, cells, cells_per_field, chemical, cruise, cruise_id, cruise_synonym, data, dataset, date, day, day_local, depth, dmo, erddap, field, fields, fields_per_filter, filt, filter, latitude, local, log, lon_360, longitude, management, month, month_local, oceanography, office, per, preliminary, sta, synonym, time, vol, vol_filt, year";
    String license "https://www.bco-dmo.org/dataset/3765/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3765";
    Float64 Northernmost_Northing -10.0;
    String param_mapping "{'3765': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3765/parameters";
    String people_0_affiliation "University of Southern California";
    String people_0_affiliation_acronym "USC-HIMS";
    String people_0_person_name "Eric A Webb";
    String people_0_person_nid "51340";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Southern California";
    String people_1_affiliation_acronym "USC-HIMS";
    String people_1_person_name "Dr Jill Sohm";
    String people_1_person_nid "51604";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Syne_ETSP";
    String projects_0_acronym "Syne_ETSP";
    String projects_0_description 
"The unicellular cyanobacterium Synechococcus is one of the most widespread and abundant photosynthetic organisms in the ocean, contributing substantially to marine primary production. It is also extremely diverse, with 16 clades identified so far. This diversity, however, has yet to be correlated with specific, well-defined ecological niches. It is important to define what these ecological niches are in order to determine the significance of Synechococcus diversity, i.e., does the clade present in a certain regime have a large impact on biogeochemical cycling in that area? In parallel, the distribution of the clades must also be defined, to able to understand more clearly the role of Synechococcus in the ocean, and how it might change in the future. In the funded project, \"The role of iron (Fe) in controlling in situ distributions and activities of marine Synechococcus OCE-0825922\" investigators Jill A Sohm (J.A.S.) and Eric Webb have been mapping the distribution of Synechococcus clades in the western Pacific, the North and South Atlantic, and off the coast of Los Angeles, in order to better define the ecological niches of the many clades of Synechococcus. In this project, Webb and Sohm will participate in a research cruise occurring in February 2010 in the Eastern Tropical South Pacific (ETSP), a data poor region with little known about the ecology of its picocyanobacteria. While it has been shown the Synechococcus from clade four dominate the upwelling region farther south of the proposed cruise, the diversity of the population farther offshore is much less well defined. This cruise would allow expansion of the current database of Synechococcus clade distribution to an area where there is little to no data, and add experimental field work to an existing project, testing the specific affects of Fe, light, temperature and nutrients on the diversity of field populations. These data combined with concurrent lab research will provide insight into the potential of oceanic change to affect the distribution and the activity of Synechococcus.
In addition to defining the role and impact of Fe limitation on marine Synechococcus activity and diversity in the field, this project will develop field incubation-tested, quantitative PCR-based Fe stress diagnostics that will be available to the community. Furthermore, the investigators will attempt to isolate and make available Synechococcus strains from the region; as such representatives are not in existence. The upkeep and addition to the culture collection in the Webb lab is an important service for the oceanographic community, as these strains are sent to any researcher that requests them without charge. Metadata obtained on this cruise will be shared with the oceanographic community by depositing them in a national database. Lastly this project will provide valuable research cruise experience and career development for one post-doctoral fellow, J.A.S., and one graduate student.";
    String projects_0_end_date "2010-08";
    String projects_0_geolocation "Eastern Tropical South Pacific, coast of Chile";
    String projects_0_name "RAPID: Synechococcus diversity and Fe stress and the relationship to dissolved metals in the Eastern Tropical South Pacific";
    String projects_0_project_nid "2248";
    String projects_0_start_date "2009-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -20.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruise_id,cruise_synonym,month_local,year";
    String summary "Synechococcus counts determined by epifluorescent microscopy from samples collected on R/V Atlantis cruise AT15-61 in the Eastern Tropical South Pacific in 2010.";
    String title "Synechococcus counts determined by epifluorescent microscopy from samples collected on R/V Atlantis cruise AT15-61 in the Eastern Tropical South Pacific in 2010 (Syne_ETSP project)";
    String version "1";
    Float64 Westernmost_Easting -100.0;
    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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