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Dataset Title:  Factory and field calibration data for float oxygen, beam transmission,
backscatter, chlorophyll fluorescence and CDOM sensors from the Sargasso Sea
from 2013-2014.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_728371)
Range: depth = 11.0 to 798.0m
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 {
  Float_profile {
    String description "Deployment number";
    String ioos_category "Unknown";
    String long_name "Float Profile";
    String units "unitless";
  }
  Float_pressure {
    Int16 _FillValue 32767;
    Int16 actual_range 8, 804;
    String description "Float pressure";
    String ioos_category "Pressure";
    String long_name "Float Pressure";
    String units "dbar";
  }
  Float_O2 {
    Float32 _FillValue NaN;
    Float32 actual_range 150.2, 242.6;
    String description "Float dissolved oxygen concentration";
    String ioos_category "Dissolved O2";
    String long_name "Float O2";
    String units "umol/kg";
  }
  Float_chla {
    Float32 _FillValue NaN;
    Float32 actual_range 5.0e-4, 0.455;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "Float chlorophyll-a";
    String ioos_category "Ocean Color";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "ug/L";
  }
  Float_bbp {
    Float32 _FillValue NaN;
    Float32 actual_range 1.33e-4, 9.57e-4;
    String description "Float particulate backscattering coefficient";
    String ioos_category "Unknown";
    String long_name "Float Bbp";
    String units "m -1";
  }
  Bottle_ID {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1029600617, 1030200808;
    String description "BATS bottle ID number";
    String ioos_category "Identifier";
    String long_name "Bottle ID";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 11.0, 798.0;
    String axis "Z";
    String description "BATS nominal depth where sample was taken";
    String ioos_category "Location";
    String long_name "BATS Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  BATS_O2 {
    Float32 _FillValue NaN;
    Float32 actual_range 142.8, 246.1;
    String description "BATS dissolved oxygen concentration";
    String ioos_category "Dissolved O2";
    String long_name "BATS O2";
    String units "umol/kg";
  }
  BATS_chla {
    Float32 _FillValue NaN;
    Float32 actual_range 0.001, 0.2288;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "BATS chlorophyll-a";
    String ioos_category "Ocean Color";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "ug/L";
  }
  BATS_POC {
    Float32 _FillValue NaN;
    Float32 actual_range 3.53, 27.2;
    String description "BATS particulate organic carbon";
    String ioos_category "Ocean Color";
    String long_name "BATS POC";
    String units "mg/meters cubed";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Multiple deployments of two Sea-Bird Scientific Navis BGCi floats (numbers
F033 and F034) equipped with CTDs, transmissometers, O2 optodes,
backscattering (700 nm), fluorescence (chlorophyll, colored dissolved organic
matter), and tilt sensors were conducted between July 2013 and November 2014
in conjunction with Bermuda Atlantic Time-series Study cruises. Short-term
deployments (1.5 \\u2013 3 days) followed by recovery of the floats were
conducted during four monthly BATS cruises in July \\u2013 October 2013 and one
cruise in March 2014. Both floats were deployed during the July and August
2013 cruises and float F034 was deployed for the remaining cruises. Each float
collected one profile per cruise with the exception of the August 2013 cruise,
during which the two floats together collected 13 profiles. During short-term
deployments, floats first completed an initial descent and ascent without
parking, then completed 1 or 2 more profile cycles with different, consecutive
target depths. Following the initial descent/ascent described above, the
short-term profile cycles were structured as described below for long-term
deployments. In addition to the short-term cruise deployments, F033 profiled
continuously from October 2013 until early April 2014, yielding 77 profiles,
and F034 profiled continuously from March 2014 until late November 2014,
yielding 139 profiles. During these long-term deployments, a typical cycle
consisted of 1) the descent to the target park depth, 2) a park phase at the
target depth lasting 1.5 \\u2013 2.5 days during which measurements are made
every 15 minutes, 3) a descent to 1000 dbar, 4) an ascent to the surface
during which measurements are made, and 5) a surface telemetry phase, during
which a GPS fix is obtained, data are uploaded via Iridium, and instructions
for the next cycle are downloaded. During long-term deployments, floats cycled
through park phases at 150/200, 300, 500, and 1000 dbar every 7 days, spending
2.5 days at 1000 dbar and 1.5 days at the shallower depths. The sequence of
park phase depth at the three shallowest depths was varied between each 7-day
cycle over a 21-day period to avoid aliasing in particle flux profiles.
 
Refer to [https://www.bco-dmo.org/project/2124](\\\\\"http://www.bco-
dmo.org/project/2124\\\\\") or
[http://bats.bios.edu](\\\\\"http://bats.bios.edu/\\\\\") for a description of BATS
bottle sample acquisition.";
    String awards_0_award_nid "644826";
    String awards_0_award_number "OCE-1406552";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1406552";
    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 "Dr Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Float and BATS 
  M. Estapa and K. Buesseler, PIs 
  Version 12 April 2018";
    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 2.2d  13 Jun 2019";
    String date_created "2018-02-26T20:24:44Z";
    String date_modified "2018-09-19T20:20:38Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.734349";
    Float64 geospatial_vertical_max 798.0;
    Float64 geospatial_vertical_min 11.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-08-17T22:30:17Z (local files)
2019-08-17T22:30:17Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_728371.das";
    String infoUrl "https://www.bco-dmo.org/dataset/728371";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD Sea-Bird";
    String instruments_0_dataset_instrument_description "Used for sampling";
    String instruments_0_dataset_instrument_nid "728378";
    String instruments_0_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD Sea-Bird";
    String instruments_0_instrument_nid "447";
    String instruments_0_supplied_name "SBE 41CP CTD";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_description "Used for sampling";
    String instruments_1_dataset_instrument_nid "733218";
    String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "WET Labs MCOMS Chlorophyll Fluorometer";
    String instruments_2_acronym "Transmissometer";
    String instruments_2_dataset_instrument_description "Used to measure fraction of light";
    String instruments_2_dataset_instrument_nid "733224";
    String instruments_2_description "A transmissometer measures the beam attenuation coefficient of the lightsource over the instrument's path-length. This instrument designation is used when specific manufacturer, make and model are not known.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/124/";
    String instruments_2_instrument_name "Transmissometer";
    String instruments_2_instrument_nid "491";
    String instruments_2_supplied_name "Transmissometer";
    String instruments_3_acronym "Dissolved Oxygen Sensor";
    String instruments_3_dataset_instrument_description "Used to sample dissolved oxygen";
    String instruments_3_dataset_instrument_nid "728379";
    String instruments_3_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
    String instruments_3_instrument_name "Dissolved Oxygen Sensor";
    String instruments_3_instrument_nid "705";
    String instruments_3_supplied_name "SBE63 optode";
    String instruments_4_acronym "OBS";
    String instruments_4_dataset_instrument_description "Used to sample backscatter";
    String instruments_4_dataset_instrument_nid "733219";
    String instruments_4_instrument_name "Optical Backscatter Sensor";
    String instruments_4_instrument_nid "686843";
    String instruments_4_supplied_name "WET Labs MCOMS Scattering Meter";
    String keywords "bats, BATS_chla, BATS_Depth, BATS_O2, BATS_POC, bbp, bco, bco-dmo, biological, bottle, Bottle_ID, chemical, chemistry, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, depth, dissolved, dissolved o2, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, float, Float_bbp, Float_chla, Float_O2, Float_pressure, Float_profile, identifier, management, O2, ocean, ocean color, oceanography, oceans, office, oxygen, poc, preliminary, pressure, profile, science, sea, seawater, water";
    String keywords_vocabulary "GCMD Science Keywords";
    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 metadata_source "https://www.bco-dmo.org/api/dataset/728371";
    String param_mapping "{'728371': {'BATS_Depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/728371/parameters";
    String people_0_affiliation "Skidmore College";
    String people_0_person_name "Dr Margaret L. Estapa";
    String people_0_person_nid "644830";
    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";
    String people_1_person_name "Dr Kenneth  O. Buesseler";
    String people_1_person_nid "50522";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Skidmore College";
    String people_2_person_name "Dr Margaret L. Estapa";
    String people_2_person_nid "644830";
    String people_2_role "Contact";
    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 "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean";
    String projects_0_acronym "RapAutParticleFlux";
    String projects_0_description 
"Particles settling into the deep ocean remove carbon and biologically-important trace elements from sunlit, productive surface waters and from contact with the atmosphere over short timescales.�A shifting balance among physical, chemical, and biological processes determines the ultimate fate of most particles at depths between 100 and 1,000 m, where fluxes are hardest to measure.�Our challenge is to expand the number of particle flux observations in the critical \"twilight zone\", something that has proven elusive with ship-based “snapshots” that have lengths of, at most, a few weeks.�Here, we propose an optical, transmissometer-based method to make particle flux observations from autonomous, biogeochemical profiling floats.�Novel developments in data interpretation, sensor operation, and platform control now allow flux measurements at hourly resolution and give us observational access to the water-column processes driving particle flux over short timescales.�The sensors and float platforms that we propose to use are simple, robust, and commercially-available, making them immediately compatible with community-scale efforts to implement other float-based biogeochemical measurements.
We have two main goals:� First, we will quantify particulate organic carbon (POC) flux using float-based optical measurements by validating our observations against fluxes measured directly with neutrally-buoyant, drifting sediment traps. Second, we will evaluate the contribution of rapid export events to total POC fluxes in the oligotrophic ocean by using a biogeochemical profiling float to collect nearly-continuous, depth-resolved flux measurements and coupled, water-column bio-optical profiles.�
To achieve these goals, we will implement a work plan consisting of 1) a set of laboratory-based sensor calibration experiments to determine detection limits and evaluate sensitivity to particle size; 2) a series of four sediment trap and biogeochemical float co-deployments during which we will collect POC flux and field calibration data; and 3) a long-term sampling and analysis period (approximately 1 year) during which data will be returned by satellite from the biogeochemical float.�We will conduct calibration fieldwork in conjunction with monthly Bermuda Atlantic Time-series Study (BATS) cruises, taking advantage of the timeseries measurements and the context provided by the 25-year record of POC flux at that site.�The data returned by the float will comprise the first quantitative particle flux observations made at high-enough temporal resolution to interpret in the context of short-term, upper-ocean production events.";
    String projects_0_end_date "2014-11";
    String projects_0_geolocation "Sargasso Sea";
    String projects_0_name "Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean";
    String projects_0_project_nid "644827";
    String projects_0_start_date "2013-07";
    String publisher_name "Hannah Ake";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Optical proxy measurements of sinking particle flux and water-column bio-optical profiles were obtained from profiling floats in the Sargasso Sea to expand the number of particle flux observations in the critical and under-sampled \\u201ctwilight zone\\u201d. Factory and field calibration data for dissolved oxygen, beam transmission, optical backscatter, chlorophyll fluorescence and colored dissolved organic matter sensors are provided. Float oxygen, chlorophyll fluorescence, and backscatter sensors were additionally cross-calibrated to bottle samples for oxygen, HPLC chlorophyll, and particulate organic carbon collected during concurrent Bermuda Atlantic Time-series Study (BATS) cruises prior to months-long deployment of the floats in the Sargasso Sea.";
    String title "Factory and field calibration data for float oxygen, beam transmission, backscatter, chlorophyll fluorescence and CDOM sensors from the Sargasso Sea from 2013-2014.";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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