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Dataset Title:  Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel
B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_780191)
Range: longitude = -173.5369 to 178.1814°E, latitude = -78.6294 to -72.4482°N, depth = 5.0 to 1550.0m
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 {
  Date {
    String bcodmo_name "date";
    String description "Date in UTC - format: YYY-MM-DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "Station Identifier - Two sets of samples were labeled “Station 52” but were collected from different CTD casts. To clarify this samples from the second cast at station 52 were labeled 52_CTD 53.";
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -78.6294, -72.4482;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude - South is negative";
    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 -173.5369, 178.1814;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude - West is negative";
    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 {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 5.0, 1550.0;
    String axis "Z";
    String bcodmo_name "depth";
    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";
  }
  Niskin {
    String bcodmo_name "bot_Nis";
    String description "Niskin Bottle Identifier";
    String long_name "Niskin";
    String units "unitless";
  }
  Sample {
    Byte _FillValue 127;
    Byte actual_range 1, 9;
    String bcodmo_name "sample";
    String description "Sample number";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Fltr_Vol {
    Float32 _FillValue NaN;
    Float32 actual_range 0.15, 1.06;
    String bcodmo_name "vol_filt";
    String description "Volume filtered";
    String long_name "Fltr Vol";
    String units "liter (l)";
  }
  Bsi {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04, 13.69;
    String bcodmo_name "Si_bio";
    String description "Concentration of biogenic silica";
    String long_name "Bsi";
    String units "micromole (�M)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Water was collected from varying depths in the photic zone using a CTD.
Samples were collected by gentle filtration under low vacuum through 0.6um
polycarbonate filters. Filters were placed in glassine envelopes and dried at
65\\u00b0C for approximately 24h. For analysis, filters were extracted in 0.2N
NaOH for 45 minutes at 95\\u00b0C. Samples were placed on ice and neutralized
with 1N HCl to stop the extraction. Concentrations of silicic acid were
determined using the colorimetric method described in Strickland and Parsons,
1972. Precautions were made keep samples contaminant-free, by using
plasticware and MilliQ water.";
    String awards_0_award_nid "774950";
    String awards_0_award_number "OPP-1644073";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1644073";
    String awards_0_funder_name "NSF Office of Polar Programs (formerly NSF PLR)";
    String awards_0_funding_acronym "NSF OPP";
    String awards_0_funding_source_nid "713360";
    String awards_0_program_manager "Jennifer Burns";
    String awards_0_program_manager_nid "50508";
    String cdm_data_type "Other";
    String comment 
"Biogenic silica 
  PI: Giacomo DiTullio  
  Data Version 1: 2019-10-30";
    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 "2019-10-30T18:15:56Z";
    String date_modified "2019-11-14T10:25:28Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.780191.1";
    Float64 Easternmost_Easting 178.1814;
    Float64 geospatial_lat_max -72.4482;
    Float64 geospatial_lat_min -78.6294;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 178.1814;
    Float64 geospatial_lon_min -173.5369;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1550.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-07-05T12:37:04Z (local files)
2020-07-05T12:37:04Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_780191.das";
    String infoUrl "https://www.bco-dmo.org/dataset/780191";
    String institution "BCO-DMO";
    String instruments_0_acronym "UV Spectrophotometer-Shimadzu";
    String instruments_0_dataset_instrument_description "A Shimadzu UV-1601 spectrophotometer was used to measure the absorbance of silica standards and samples. A set of seven standards were run with each set of samples and the resulting standard curve was used to quantify the concentration of biogenic silica.";
    String instruments_0_dataset_instrument_nid "780224";
    String instruments_0_description "The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_0_instrument_name "UV Spectrophotometer-Shimadzu";
    String instruments_0_instrument_nid "595";
    String instruments_0_supplied_name "Shimadzu UV-1601 spectrophotometer";
    String keywords "bco, bco-dmo, biological, bsi, chemical, data, dataset, date, depth, depth2, dmo, erddap, fltr, Fltr_Vol, latitude, longitude, management, niskin, oceanography, office, preliminary, sample, station, time, vol";
    String license "https://www.bco-dmo.org/dataset/780191/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/780191";
    Float64 Northernmost_Northing -72.4482;
    String param_mapping "{'780191': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/780191/parameters";
    String people_0_affiliation "College of Charleston";
    String people_0_affiliation_acronym "CofC";
    String people_0_person_name "Giacomo DiTullio";
    String people_0_person_nid "50689";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "College of Charleston";
    String people_1_affiliation_acronym "CofC";
    String people_1_person_name "Peter Lee";
    String people_1_person_nid "516649";
    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 "Karen Soenen";
    String people_2_person_nid "748773";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "CICLOPS";
    String projects_0_acronym "CICLOPS";
    String projects_0_description 
"NSF�abstract:
Phytoplankton blooms in the coastal waters of the Ross Sea, Antarctica are typically dominated by either diatoms or Phaeocystis Antarctica (a flagellated algae that often can form large colonies in a gelatinous matrix). The project seeks to determine if an association of bacterial populations with Phaeocystis antarctica colonies can directly supply Phaeocystis with Vitamin B12, which can be an important co-limiting micronutrient in the Ross Sea. The supply of an essential vitamin coupled with the ability to grow at lower iron concentrations may put Phaeocystis at a competitive advantage over diatoms. Because Phaeocystis cells can fix more carbon than diatoms and Phaeocystis are not grazed as efficiently as diatoms, the project will help in refining understanding of carbon dynamics in the region as well as the basis of the food web webs. Such understanding also has the potential to help refine predictive ecological models for the region. The project will conduct public outreach activities and will contribute to undergraduate and graduate research. Engagement of underrepresented students will occur during summer student internships. A collaboration with Italian Antarctic researchers, who have been studying the Terra Nova Bay ecosystem since the 1980s, aims to enhance the project and promote international scientific collaborations.
The study will test whether a mutualistic symbioses between attached bacteria and Phaeocystis provides colonial cells a mechanism for alleviating chronic Vitamin B12 co-limitation effects thereby conferring them with a competitive advantage over diatom communities. The use of drifters in a time series study will provide the opportunity to track in both space and time a developing algal bloom in Terra Nova Bay and to determine community structure and the physiological nutrient status of microbial populations. A combination of flow cytometry, proteomics, metatranscriptomics, radioisotopic and stable isotopic labeling experiments will determine carbon and nutrient uptake rates and the role of bacteria in mitigating potential vitamin B12 and iron limitation. Membrane inlet and proton transfer reaction mass spectrometry will also be used to estimate net community production and release of volatile organic carbon compounds that are climatically active. Understanding how environmental parameters can influence microbial community dynamics in Antarctic coastal waters will advance an understanding of how changes in ocean stratification and chemistry could impact the biogeochemistry and food web dynamics of Southern Ocean ecosystems.";
    String projects_0_end_date "2020-08";
    String projects_0_geolocation "Amundsen Sea, Ross Sea, Terra Nova Bay";
    String projects_0_name "Collaborative Research:  Cobalamin and Iron Co-Limitation Of Phytoplankton Species  in Terra Nova Bay";
    String projects_0_project_nid "774945";
    String projects_0_start_date "2017-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -78.6294;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018";
    String title "Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018";
    String version "1";
    Float64 Westernmost_Easting -173.5369;
    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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