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Dataset Title:  Comparison of Membrane Inlet Mass Spectrometry (MIMS) to Isotope Ratio Mass
Spectrometer (IRMS)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_778065)
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 {
  Subsample {
    Byte _FillValue 127;
    Byte actual_range 1, 10;
    String bcodmo_name "sample";
    String description "subsample identification";
    String long_name "Subsample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  MIMS_at_pcnt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.392, 9.7;
    String bcodmo_name "unknown";
    String description "MIMS at%";
    String long_name "MIMS At Pcnt";
    String units "unitless";
  }
  stdev_MIMS_at_pcnt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0055, 0.327;
    String bcodmo_name "unknown";
    String description "stdev MIMS at%";
    String long_name "Stdev MIMS At Pcnt";
    String units "unitless";
  }
  IRMS_15N_at_pcnt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4289, 9.9;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String description "IRMS 15N at%";
    String long_name "IRMS 15 N At Pcnt";
    String units "unitless";
  }
  stdev_IRMS_15N_at_pcnt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.003, 0.19;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String description "stdev IRMS 15N at%";
    String long_name "Stdev IRMS 15 N At Pcnt";
    String units "unitless";
  }
  IRMS_at_pcnt_no_furnace {
    Float32 _FillValue NaN;
    Float32 actual_range 0.391, 9.6;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String description "IRMS at% no furnace";
    String long_name "IRMS At Pcnt No Furnace";
    String units "unitless";
  }
  stdev_IRMS_at_pcnt_no_furnace {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0046, 0.16;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String description "stdev IRMS at% no furnace";
    String long_name "Stdev IRMS At Pcnt No Furnace";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"We tested whether the mass-specific signal ratios returned by MIMS accurately
quantitate the relative isotopic abundance of 15N2 in the range typically used
for N2 fixation incubations. Incremental 15N2 gas aliquots were equilibrated
in seawater, and respective solutions were then dispensed into replicate gas-
tight vials. 15N atom % of dissolved N2 values were measured in parallel by
continuous flow IRMS on a GV Isoprime IRMS (Charoenpong et al., 2014) and by
MIMS (Bay Instruments), on the assumption that values returned by IRMS are
accurate.";
    String awards_0_award_nid "772538";
    String awards_0_award_number "OCE-1732246";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1732246";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Comparison of MIMS to IRMS 
  PI: Julie Granger 
  Version: 2019-09-30";
    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 "2019-09-30T15:38:47Z";
    String date_modified "2019-10-02T18:49:07Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.778065.1";
    String history 
"2021-10-18T01:11:02Z (local files)
2021-10-18T01:11:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_778065.das";
    String infoUrl "https://www.bco-dmo.org/dataset/778065";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "continuous flow Delta V Isotope Ratio Mass Spectrometer (Smith et al. 2015), and continuous flow-GV Isoprime IRMS (Charoenpong et al., 2014)";
    String instruments_0_dataset_instrument_nid "778073";
    String instruments_0_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_0_instrument_nid "469";
    String instruments_0_supplied_name "Isotope Ratio Mass Spectrometer";
    String instruments_1_acronym "MIMS";
    String instruments_1_dataset_instrument_description "Membrane Inlet Mass Spectrometer (Bay Instruments)";
    String instruments_1_dataset_instrument_nid "778072";
    String instruments_1_description "Membrane-introduction mass spectrometry (MIMS) is a method of introducing analytes into the mass spectrometer's vacuum chamber via a semipermeable membrane.";
    String instruments_1_instrument_name "Membrane Inlet Mass Spectrometer";
    String instruments_1_instrument_nid "661606";
    String instruments_1_supplied_name "Membrane Inlet Mass Spectrometer";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, deviation, dmo, erddap, furnace, irms, IRMS_15N_at_pcnt, IRMS_at_pcnt_no_furnace, management, mims, MIMS_at_pcnt, oceanography, office, pcnt, preliminary, standard, standard deviation, stdev, stdev_IRMS_15N_at_pcnt, stdev_IRMS_at_pcnt_no_furnace, stdev_MIMS_at_pcnt, subsample";
    String license "https://www.bco-dmo.org/dataset/778065/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/778065";
    String param_mapping "{'778065': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/778065/parameters";
    String people_0_affiliation "University of Connecticut";
    String people_0_affiliation_acronym "UConn";
    String people_0_person_name "Julie Granger";
    String people_0_person_nid "528937";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Massachusetts Dartmouth";
    String people_1_affiliation_acronym "UMass Dartmouth";
    String people_1_person_name "Annie Bourbonnais";
    String people_1_person_nid "778011";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Hawaii";
    String people_2_person_name "Samuel Wilson";
    String people_2_person_nid "51733";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Mathew Biddle";
    String people_3_person_nid "708682";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "EAGER NitFix";
    String projects_0_acronym "EAGER NitFix";
    String projects_0_description 
"NSF Award Abstract:
The availability of nitrogen is required to support the growth and production of organisms living in the surface of our global ocean. This element can be scarce. To alleviate this scarcity, a special class of bacteria and archaea, called nitrogen fixers, can derive the nitrogen needed for growth from nitrogen gas. This project would carefully examine one specific method for measuring nitrogen fixation that has been used recently to suggest the occurrence of small amounts of nitrogen fixation in subsurface ocean waters. If these reports are verified, then a revision of our understanding of the marine nitrogen cycle may be needed. The Ocean Carbon and Biogeochemistry program will be used as a platform to develop community consensus for best practices in nitrogen fixation measurements and detection of diversity, activity, and abundances of the organisms responsible. In addition, a session will be organized in a future national/international conference to communicate with the broader scientific community while developing these best practices.
The goal of this study is to conduct a thorough examination of potential experimental and analytical errors inherent to the 15N2-tracer nitrogen fixation method, in tandem with comprehensive molecular measurements, in mesopelagic ocean waters. Samples will be collected and experimental work conducted on a cruise transect in the North Atlantic Ocean, followed by analytical work in the laboratory. The specific aims of this study are to (1) determine the minimum quantifiable rates of 15N2 fixation based on incubations of mesopelagic waters via characterization of sources of experimental and analytical error, and (2) seek evidence of presence and expression of nitrogen fixation genes via comprehensive molecular approaches on corresponding samples. The range of detectable rates and diazotroph activity from the measurements made in this study will be informative for the understanding of the importance of nitrogen fixation in the oceanic nitrogen budget.";
    String projects_0_end_date "2018-10";
    String projects_0_geolocation "North Atlantic Ocean, Pacific Ocean";
    String projects_0_name "EAGER:  Collaborative Research:  Detection limit in marine nitrogen fixation measurements - Constraints of rates from the mesopelagic ocean";
    String projects_0_project_nid "772534";
    String projects_0_start_date "2017-05";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "In order to ensure that 15N2 atom% effectuated by Membrane Inlet Mass Spectrometry, we tested whether the mass-specific signal ratios returned by MIMS are equivalent with parallel measurements on a Isotope Ratio Mass Spectrometer, on the basis that the latter returns accurate ratios (see 778000 cal_iso). MIMS and IRMS returned identical values for parallel samples.";
    String title "Comparison of Membrane Inlet Mass Spectrometry (MIMS) to Isotope Ratio Mass Spectrometer (IRMS)";
    String version "1";
    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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