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Dataset Title:  Nitrogen and carbon fixation rates from bulk water samples from RV/Atlantic
cruise AT39-05, Feb-Mar 2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_766334)
Range: longitude = -55.8123 to -21.998°E, latitude = -7.9989 to 13.6776°N
Information:  Summary ? | License ? | 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 {
  Station {
    Byte _FillValue 127;
    Byte actual_range 3, 18;
    String bcodmo_name "station";
    String description "station identifier";
    String long_name "Station";
    String units "unitless";
  Experiment_ID {
    String bcodmo_name "exp_id";
    String description "experiment_id identifier";
    String long_name "Experiment ID";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -7.9989, 13.6776;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is positive";
    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";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -55.8123, -21.998;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    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";
  Sample_D {
    String bcodmo_name "sample";
    String description "sample identifier";
    String long_name "Sample D";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  Treatment {
    String bcodmo_name "treatment";
    String description 
Lo temp = ambient temperature
Hi temp = ambient temperature plus 3 degrees C.
Colimit = Co-limited control (no additions)
Fe = 2nM Fe
P = 50 nM P
Rep =  Replete (+Fe+P)";
    String long_name "Treatment";
    String units "unitless";
  N2_fix {
    Float32 _FillValue NaN;
    Float32 actual_range 1.15e-6, 0.00116;
    String bcodmo_name "N2_fix";
    String description "nitrogen fixation rate measured as 15N2";
    String long_name "N2 Fix";
    String units "micromol/liter/hour (umol/l/h)";
  C_fix {
    Float32 _FillValue NaN;
    Float32 actual_range 1.23e-4, 0.0804;
    String bcodmo_name "unknown";
    String description "carbon fixation rate measured as 13CO2";
    String long_name "C Fix";
    String units "micromol/liter/hour (umol/l/h)";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Shipboard incubation experiments were carried out at 15 stations in the
tropical Atlantic with trace metal clean-collected bulk water to examine iron
(Fe) and phosphorus (P) co-limitation of dinitrogen (N2) fixation (see
TriCoLim Station coordinates metadata). Treatments were: Co-limited control
(no additions, \\u201cColimit\\u201d), + 2nM Fe (\\u201cFe\\u201d), + 50 nM P
(\\u201cP\\u201d) and Replete (+Fe+P, \\u201cRep\\u201d).\\u00a0All incubations
were carried out at ambient (\\u201cLo\\u201d) temperature and ambient
temperature +3C (\\u201cHi\\u201d) for 2-4 days on deck before measuring 15N2
and 13CO2 fixation rates and particulate organic carbon (POC) and nitrogen
(PON). See related datasets.
 [Nitrogen and carbon fixation rates - Trichodesmium](\\\\\"https://www.bco-
dmo.org/dataset/766354\\\\\") | Nitrogen and carbon fixation rates from
Trichodesmium colonies from RV/Atlantic cruise AT39-05, Feb-Mar 2018   
[POC and PON - bulk seawater](\\\\\"https://www.bco-dmo.org/dataset/766374\\\\\") |
POC and PON from bulk seawater samples from RV/Atlantic cruise AT39-05, Feb-
Mar 2018   
[POC and PON - Trichodesmium](\\\\\"https://www.bco-dmo.org/dataset/766394\\\\\") |
POC and PON from Trichodesmium colonies from RV/Atlantic cruise AT39-05, Feb-
Mar 2018";
    String awards_0_award_nid "724450";
    String awards_0_award_number "OCE-1657757";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1657757";
    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 
"Nitrogen and carbon fixation rates from bulk water samples 
     from RV/Atlantic cruise AT39-05, Feb-Mar 2018 
   PI's: D. Hutchins, E. Webb (USC) 
   version date: 2019-10-02";
    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 dataset_current_state "Final and no updates";
    String date_created "2019-05-06T13:40:55Z";
    String date_modified "2020-05-04T13:03:29Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.766334.1";
    Float64 Easternmost_Easting -21.998;
    Float64 geospatial_lat_max 13.6776;
    Float64 geospatial_lat_min -7.9989;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -21.998;
    Float64 geospatial_lon_min -55.8123;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-09-28T18:54:04Z (local files)
2022-09-28T18:54:04Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_766334.das";
    String infoUrl "https://www.bco-dmo.org/dataset/766334";
    String institution "BCO-DMO";
    String instruments_0_acronym "TM Bottle";
    String instruments_0_dataset_instrument_description "Used to collect clean seawater.";
    String instruments_0_dataset_instrument_nid "766344";
    String instruments_0_description "Trace metal (TM) clean rosette bottle used for collecting trace metal clean seawater samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/30/";
    String instruments_0_instrument_name "Trace Metal Bottle";
    String instruments_0_instrument_nid "493";
    String keywords "bco, bco-dmo, biological, C_fix, chemical, data, dataset, dmo, erddap, experiment, Experiment_ID, fix, latitude, longitude, management, N2_fix, oceanography, office, preliminary, sample, Sample_D, station, treatment";
    String license "https://www.bco-dmo.org/dataset/766334/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/766334";
    Float64 Northernmost_Northing 13.6776;
    String param_mapping "{'766334': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/766334/parameters";
    String people_0_affiliation "University of Southern California";
    String people_0_affiliation_acronym "USC";
    String people_0_person_name "David A. Hutchins";
    String people_0_person_nid "51048";
    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";
    String people_1_person_name "Eric A Webb";
    String people_1_person_nid "51340";
    String people_1_role "Co-Principal Investigator";
    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 project "TriCoLim";
    String projects_0_acronym "TriCoLim";
    String projects_0_description 
"NSF abstract:
Marine cyanobacteria are able to use or \"fix\" atmospheric nitrogen gas, and so supply much of the essential nutrient nitrogen that supports open ocean food chains. Oceanographers have usually thought that the growth of these nitrogen-fixing cyanobacteria is limited at any particular time and place by the supply of either iron, or of phosphorus. Preliminary experiments have shown, though, that these nitrogen fixers instead grow best when both iron and phosphorus are scarce at the same time. In this project, the researchers will use cellular indicators that are specific for iron and phosphorus limitation to determine how important this type of \"balanced limitation\" of nitrogen-fixing cyanobacteria is in controlling the productivity of ocean food chains in the tropical Atlantic Ocean. Two graduate students will be trained at the University of Southern California (USC) and Woods Hole Oceanographic Institution, as well as a postdoctoral researcher at USC. Educational outreach efforts will take place at a Los Angeles inner city high school with a student body that is over 98% Hispanic and African-American, and with underrepresented undergraduates in the USC Global Environmental Microbiology course. In addition, two Research Experiences for Undergraduates students will be supervised for summer research projects to help them learn about science career options.
The researchers will investigate the biological and biogeochemical consequences of this unique balanced iron/phosphorus-limited phenotype, using both laboratory and fieldwork approaches. During the first year of this project, the nitrogen-fixing cyanobacteria will be cultured under iron and/or phosphorus limitation, followed by application of proteomics and transcriptomics to identify genes that are potential diagnostic biomarkers for iron/phosphorus balanced limitation. Preliminary work has already identified one promising candidate biomarker in one cyanobacterium, an EzrA protein domain that appears to be associated with the cell size decreases seen specifically under balanced limitation, and the researchers have identified numerous other potential candidates for similar biomarkers. During the second year, these new co-limitation biomarkers and others previously validated for iron limitation (IsiB) and phosphorus limitation (SphX) will be used to investigate balanced limitation during a research cruise transecting from relatively high-iron, low-phosphorus North Atlantic waters, to the relatively high-phosphorus, low-iron South Atlantic. This fieldwork component will survey nitrogen fixing cyanobacteria populations across this natural iron/phosphorus gradient for genetic, proteomic, and physiological indicators of balanced limitation, as well as testing their responses to iron and phosphorus manipulations in shipboard incubation experiments. The third year will be devoted to sample analysis, and publications exploring the responses of oceanic nitrogen fixers to simultaneous limitation by both iron and phosphorus.";
    String projects_0_end_date "2020-02";
    String projects_0_geolocation "Tropical Atlantic";
    String projects_0_name "Collaborative Research:  Iron and phosphorus balanced limitation of nitrogen fixation in the oligotrophic ocean";
    String projects_0_project_nid "724451";
    String projects_0_start_date "2017-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -7.9989;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Nitrogen and carbon fixation rates from bulk water samples from RV/Atlantic cruise AT39-05, Feb-Mar 2018.";
    String title "Nitrogen and carbon fixation rates from bulk water samples from RV/Atlantic cruise AT39-05, Feb-Mar 2018";
    String version "1";
    Float64 Westernmost_Easting -55.8123;
    String xml_source "osprey2erddap.update_xml() v1.5";


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
For example,
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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