BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  [PO4_SiOH4] - Phosphate (PO4) and Silicate (SiOH4) concentrations from R/V
Thomas G. Thompson and R/V Kilo Moana cruises TN277, KM1301, KM1312 in the
Eastern North Pacific Ocean from 2012-2013 (POWOW project) (Seasonal and
decadal changes in temperature drive Prochlorococcus ecotype distribution
patterns)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3756)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruise_name (text) ?          "POWOW1"    "POWOW3"
 cast (unitless) ?          "CTD01"    "CTD60"
 latitude (degrees_north) ?          21.3428    46.6888
  < slider >
 longitude (degrees_east) ?          -160.6166    -118.316
  < slider >
 depth_w (Depth, meters) ?          349    6055
 month_utc (mm (01 to 12)) ?          "01"    "07"
 day_utc (dd (01 to 31)) ?          "01"    "31"
 year (unitless) ?          2012    2013
 time_utc (HHMM.mm) ?          "0016.0000"    "2223.0000"
 time (ISO Date Time UTC, UTC) ?          2012-03-01T12:46:00.00Z    2013-07-27T19:10:00.00Z
  < slider >
 depth (m) ?          2.0    4497.0
  < slider >
 bot (unitless) ?          1    24
 PO4 (micromolar (uM)) ?          0.0    3.14
 SiOH4 (micromolar (uM)) ?          0.16    164.99
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_name {
    String bcodmo_name "Cruise Name";
    String description "Cruise identifier (POWOW1 = TN277 = R/V Thomas G. Thompson cruise 277; POWOW2 = KM1301 = R/V Kilo Moana cruise 1301; POWOW3 = KM1312 = R/V Kilo Moana cruise 1312).";
    String long_name "Cruise Name";
    String units "text";
  }
  cast {
    String bcodmo_name "cast";
    String description "Consecutive CTD cast number. CTD numbers are unique and sequential across stations.";
    String long_name "Cast";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 21.3428, 46.6888;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at start of CTD cast. Positive = North.";
    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 -160.6166, -118.316;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at start of CTD cast. Positive = East.";
    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";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 349, 6055;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of the water (bottom depth) at sampling station.";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  month_utc {
    String bcodmo_name "month_utc";
    String description "2-digit month of year, UTC.";
    String long_name "Month Utc";
    String units "mm (01 to 12)";
  }
  day_utc {
    String bcodmo_name "day_utc";
    String description "2-digit day of month, UTC.";
    String long_name "Day Utc";
    String units "dd (01 to 31)";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2012, 2013;
    String bcodmo_name "year";
    String description "4-digit year. in YYYY format";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  time_utc {
    String bcodmo_name "time_utc";
    String description "Time (UTC) at start of sample collection, 24-hour clock.";
    String long_name "Time Utc";
    String units "HHMM.mm";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.33060596e+9, 1.3749522e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date/Time (UTC) ISO8601 formatted. T indicates start of time string; Z indicates UTC.";
    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 "1970-01-01T00:00:00.00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 2.0, 4497.0;
    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";
  }
  bot {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 24;
    String bcodmo_name "bot";
    String description "Rosette position of the bottle.";
    String long_name "Bot";
    String units "unitless";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.14;
    String bcodmo_name "PO4";
    String description "Phosphate (PO4) concentration, uM.";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromolar (uM)";
  }
  SiOH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.16, 164.99;
    String bcodmo_name "SiOH_4";
    String description "Silicate (SiOH4) concentration, uM.";
    String long_name "Si OH4";
    String units "micromolar (uM)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Water for later nutrient analysis was sampled in duplicate into HCl-cleaned
HDPE bottles (VWR#414004-110) and stored at -80 degrees C until later analysis
using an Astoria-Pacific A2 autoanalyzer following the manufacturer's
recommended protocols running each replicate sample in duplicate. Certified
reference materials were used to verify protocols (Inorganic Ventures: QCP-NT,
QCP-NUT-1, CGSI1-1). The detection limits are as follows:  
 The detection limit of PO4 was 0.05 uM for samples from all 3 cruises.  
 The detection limit of SiOH4 was 0.2 uM for samples from POWOW1 and POWOW2
cruises.  
 The detection limit of SiOH4 was 0.1 uM for samples from POWOW3 cruise.";
    String awards_0_award_nid "55018";
    String awards_0_award_number "OCE-1031064";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1031064";
    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 
"Phosphate (PO4) and Silicate (SiOH4) 
 PI: Zackary Johnson (Duke University) 
 Version History: 
   Dataset updated: 10 July 2014 (current version) 
   Original data:   25 Oct 2012 
 Note: 0 = mean of replicated samples was below detection limit. Detection limits: 
        POWOW1 & POWOW2: 0.05 uM for PO4; 0.2 uM for SiOH4 
        POWOW3: 0.05 uM for PO4; 0.1 uM for SiOH4";
    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 "2012-10-24T13:51:40Z";
    String date_modified "2019-03-05T19:19:59Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3756.2";
    Float64 Easternmost_Easting -118.316;
    Float64 geospatial_lat_max 46.6888;
    Float64 geospatial_lat_min 21.3428;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -118.316;
    Float64 geospatial_lon_min -160.6166;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4497.0;
    Float64 geospatial_vertical_min 2.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T16:53:48Z (local files)
2024-11-23T16:53:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3756.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3756";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "518577";
    String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends.  The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD.  Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_0_supplied_name "Niskin bottle";
    String instruments_1_acronym "Nutrient Autoanalyzer";
    String instruments_1_dataset_instrument_description "Nutrients were analyzed using an Astoria-Pacific A2 autoanalyzer following the manufacturer’s recommended protocols.";
    String instruments_1_dataset_instrument_nid "518578";
    String instruments_1_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_1_instrument_name "Nutrient Autoanalyzer";
    String instruments_1_instrument_nid "558";
    String instruments_1_supplied_name "Nutrient Autoanalyzer";
    String keywords "bco, bco-dmo, biological, bot, cast, chemical, chemistry, concentration, cruise, cruise_name, data, dataset, date, day, day_utc, depth, depth_w, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, iso, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, month, month_utc, name, ocean, oceanography, oceans, office, oh4, phosphate, po4, preliminary, science, sea, seawater, SiOH4, time, time_utc, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/3756/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3756";
    Float64 Northernmost_Northing 46.6888;
    String param_mapping "{'3756': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3756/parameters";
    String people_0_affiliation "Duke University";
    String people_0_person_name "Zackary I. Johnson";
    String people_0_person_nid "50749";
    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 "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "POWOW";
    String projects_0_acronym "POWOW";
    String projects_0_description 
"Project also known as 'Prochlorococcus Of Warming Ocean Waters' (POWOW).
The two numerically-dominant ecotypes of the marine cyanobacterium Prochlorococcus partition the surface ocean niche latitudinally, with ecotype eMIT9312 dominant in the 30 degree N to 30 degree S region and eMED4 dominant at higher latitudes. These ecotypes may account for 25-50% of primary production in open ocean ecosystems, but this percentage is dependent on which ecotype dominates. The relative abundance of the two ecotypes follows a log-linear relationship with temperature, with the transition from eMIT9312 to eMED4 occurring at approx. 18 degrees C. From these descriptive data, it has been hypothesized that temperature is the primary driver of relative abundance. Their contribution to net primary production, however, appears to be independent of temperature, suggesting temperature regulates ecotype dominance through photosynthesis-independent mechanisms.
To test these hypotheses, the PIs are undertaking a series of field and lab studies to investigate the effect of temperature change on the distribution of these ecotypes. Two cruises in the North Pacific will trace the transitions from eMIT9312- to eMED4-dominated regions, with one cruise during the winter and the other during summer. They have hypothesized that the ratio of ecotype abundance will move latitudinally with the seasonal shift in temperature gradient: migration of the 18 degrees C isotherm northward in the summer will be matched by a similar migration of the 1:1 ecotype transition point. Multiple crossings of the 18 degrees C isotherm are proposed, and the summer cruise will also follow the isotherm to the Western US coast to gain insight on physical and geochemical influences. Environmental variables such as nutrient concentrations, light/mixing depths, and virus /grazing based mortality, which may impinge on the relationship between temperature and ecotype ratio, will be assessed through a series of multivariate analyses of the collected suite of physical, chemical and biological data. Seasonal comparisons will be complemented with on-deck incubations and lab competition assays (using existing and new isolates) that will establish, for the first time, how fitness coefficients of these ecotypes relate to temperature. As latitudinal shifts in temperature gradient and migration of ecotypes during seasonal warming likely share common features with high latitude warming as a consequence of climate change, the investigator's analyses will contribute important biological parameters (e.g., abundances, production rates, temperature change coefficients) for modeling biological and biogeochemical responses to climate change. This research will be integrated with that of committed collaborators, generating data sufficient for ecosystem-scale characterizations of the contributions of temperature (relative to other forcing factors) in constraining the range and seasonal migration of these numerically dominant marine phototrophs.
Publications produced as result of this research:
Rowe, J.M., DeBruyn, J.M., Poorvin, L., LeCleir, G.R., Johnson, Z.I., Zinser, E.R., and Wilhelm, S.W. 2012. Viral and bacterial abundance and production in the Western Pacific Ocean and the relation to other oceanic realms. FEMS Microbiology Ecology, 72, p. 359. DOI: 10.1111/j.1574-6941.2011.01223.x
Morris, J.J., Lenski, R.E. and E.R. Zinser. 2012. The Black Queen Hypothesis: Evolution of Dependencies through Adaptive Gene Loss. mBio, 3, p. e00036-12. DOI: 10.1128/mBio.00036-12
Morris, J.J., Johnson, Z.I., Szul, M.J., Keller, M., and Zinser, E.R. 2011. Dependence of the cyanobacterium Prochlorococcus on hydrogen peroxide scavenging microbes for growth at the ocean's surface. PLoS One, 6(2), p. 16805. DOI:10.1371/journal.pone.0016805
Ringuet, S., Sassano, L., and Johnson, Z.I. 2011. A suite of microplate reader-based colorimetric methods to quantify ammonium, nitrate, orthophosphate and silicate concentrations for aquatic nutrient monitoring. Journal of Environmental Monitoring. DOI:10.1039/C0EM00290A
Ritchie, A.E. and Johnson, Z.I. 2012. Abundance and genetic diversity of aerobic anoxygenic phototrophic bacteria of coastal regions of the Pacific Ocean. Applied and Environmental Microbiology, 78, p. 2858. DOI: 10.1128/AEM.06268-11";
    String projects_0_end_date "2014-09";
    String projects_0_geolocation "Eastern North Pacific Ocean";
    String projects_0_name "Seasonal and decadal changes in temperature drive Prochlorococcus ecotype distribution patterns";
    String projects_0_project_nid "2237";
    String projects_0_project_website "http://oceanography.ml.duke.edu/johnson/research/powow/";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 21.3428;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Phosphate (PO4) and Silicate (SiOH4) concentrations from R/V Thomas G. Thompson and R/V Kilo Moana cruises TN277, KM1301, KM1312 in the Eastern North Pacific Ocean from 2012-2013 (POWOW project)";
    String time_coverage_end "2013-07-27T19:10:00.00Z";
    String time_coverage_start "2012-03-01T12:46:00.00Z";
    String title "[PO4_SiOH4] - Phosphate (PO4) and Silicate (SiOH4) concentrations from R/V Thomas G. Thompson and R/V Kilo Moana cruises TN277, KM1301, KM1312 in the Eastern North Pacific Ocean from 2012-2013 (POWOW project) (Seasonal and decadal changes in temperature drive Prochlorococcus ecotype distribution patterns)";
    String version "2";
    Float64 Westernmost_Easting -160.6166;
    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.


 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact