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Dataset Title:  d15N of size-fractionated particulate organic nitrogen (PON) from net tows in
the Sargasso Sea at BATS and Hydro Station S
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_746854)
Range: depth = 7.0 to 220.0m
Information:  Summary ? | License ? | 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 {
  cruise {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruise";
    String units "unitless";
  }
  date {
    String bcodmo_name "date";
    String description "Date of collection (month and 2-digit year)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 7.0, 220.0;
    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";
  }
  size_fraction {
    String bcodmo_name "samp_fraction";
    String description "Size fraction";
    String long_name "Size Fraction";
    String units "micrometers (um)";
  }
  d15N_AVG {
    Float32 _FillValue NaN;
    Float32 actual_range 1.43, 6.56;
    String bcodmo_name "d15N";
    String description "Average d15N (per mil vs. AIR). d15N is the nitrogen isotopic composition of a sample expressed in delta notation (d15N in units of per mil, ‰) relative to atmospheric N2, where d15N = {[(15N/14N)sample/(15N/14N)atmN2] – 1} × 1000.";
    String long_name "D15 N AVG";
    String units "per mil";
  }
  d15N_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.55;
    String bcodmo_name "d15N";
    String description "Standard deviation of d15N_AVG";
    String long_name "D15 N Stdev";
    String units "per mil";
  }
  num_measurements {
    Byte _FillValue 127;
    Byte actual_range 2, 6;
    String bcodmo_name "numb_obs";
    String description "Number of measurements";
    String long_name "Num Measurements";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"PON samples were collected from the upper 200 m of the water column using a
1-m2, 200-um-mesh plankton net aboard the R/V Atlantic Explorer during ten
cruises between July 2011 and November 2013. Approximately 10% of the tow
material was size-fractionated and freeze-dried for elemental and isotopic
analysis of PON. See methods section of Smart et al. (2018) for more details
of sample collection, isotope analysis, and data quality.
 
The d15N of tow-collected, size-fractionated PON was determined by elemental
analyzer-isotope ratio mass spectrometry (an Elementar Vario Isotope Cube
online to an Elementar Isoprime visION), referencing to atmospheric N2 using
USGS-40 and an in-house aminocaproic acid standard.";
    String awards_0_award_nid "55176";
    String awards_0_award_number "OCE-0960802";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0960802";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String awards_1_award_nid "544342";
    String awards_1_award_number "OCE-1136345";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1136345";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String awards_2_award_nid "558188";
    String awards_2_award_number "OCE-1060947";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1060947";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "Henrietta N Edmonds";
    String awards_2_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Size-fractionated particulate organic nitrogen isotopes from Sargasso Sea plankton net tows 
  Data published in: Smart et al. (2018) - https://doi.org/10.1016j.gca.2018.05.023 
  PI: Daniel M. Sigman (Princeton) 
  Contact: Sandi Smart (Stellenbosch University & The Max Planck Institute for Chemistry) 
  Version date: 01 October 2018 
  -999 = missing data";
    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 "2018-10-01T18:23:33Z";
    String date_modified "2020-01-10T18:56:24Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.746854.1";
    Float64 geospatial_vertical_max 220.0;
    Float64 geospatial_vertical_min 7.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-12-07T01:59:31Z (local files)
2021-12-07T01:59:31Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_746854.das";
    String infoUrl "https://www.bco-dmo.org/dataset/746854";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "The d15N of tow-collected, size-fractionated PON was determined by elemental analyzer-isotope ratio mass spectrometry (an Elementar Vario Isotope Cube online to an Elementar Isoprime visION), referencing to atmospheric N2 using USGS-40 and an in-house aminocaproic acid standard.";
    String instruments_0_dataset_instrument_nid "746870";
    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 "Elementar Isoprime visION";
    String instruments_1_acronym "Plankton Net";
    String instruments_1_dataset_instrument_description "PON samples were collected from the upper 200 m of the water column using a 1-m2, 200-μm-mesh plankton net.";
    String instruments_1_dataset_instrument_nid "746869";
    String instruments_1_description "A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/22/";
    String instruments_1_instrument_name "Plankton Net";
    String instruments_1_instrument_nid "525";
    String instruments_1_supplied_name "mesh plankton net";
    String instruments_2_dataset_instrument_description "The d15N of tow-collected, size-fractionated PON was determined by elemental analyzer-isotope ratio mass spectrometry (an Elementar Vario Isotope Cube online to an Elementar Isoprime visION), referencing to atmospheric N2 using USGS-40 and an in-house aminocaproic acid standard.";
    String instruments_2_dataset_instrument_nid "746871";
    String instruments_2_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_2_instrument_name "Elemental Analyzer";
    String instruments_2_instrument_nid "546339";
    String instruments_2_supplied_name "Elementar Vario Isotope Cube";
    String keywords "average, bco, bco-dmo, biological, chemical, cruise, d15, d15N_AVG, d15N_stdev, data, dataset, date, depth, deviation, dmo, erddap, fraction, management, measurements, num, num_measurements, oceanography, office, preliminary, size, size_fraction, standard, standard deviation, stdev";
    String license "https://www.bco-dmo.org/dataset/746854/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/746854";
    String param_mapping "{'746854': {'depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/746854/parameters";
    String people_0_affiliation "Princeton University";
    String people_0_person_name "Daniel M. Sigman";
    String people_0_person_nid "51417";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Stellenbosch University";
    String people_1_person_name "Sandi M. Smart";
    String people_1_person_nid "557790";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "N Isotopes Foraminifera";
    String projects_0_acronym "N Isotopes Foraminifera";
    String projects_0_description 
"NSF Award Abstract:
Nitrogen (N) and phosphorus are the two nutrients required in large quantity by phytoplankton in the ocean, and together they limit productivity throughout most of the tropical, subtropical, and temperate ocean. Both the cycling of N and its input/output budget have been argued to control the fertility of the ocean and the ocean's role in setting atmospheric CO2. The CaCO3 tests of foraminifera can represent a substantial fraction of marine sediments and have been used extensively in paleoceanography; they are an obvious target for isotopic analysis of microfossil-bound organic matter.
In recent years, researchers at Princeton have developed a protocol for the isotopic analysis of foraminiferal shell-bound N. The current protocol is at least 100 times more sensitive than typical on-line combustion, allowing for rapid progress with a N isotope archive that was previously not feasible to measure. Measurements on surface sediments and a downcore record from the Caribbean show the promise of foraminifera-bound del15N (fb-del15N) to provide both a robust N isotope archive for paleoceanography, and one with a unique potential of richness, given the existence of multiple foraminiferal species with different depth habitats and behaviors. Moreover, the finding from the Caribbean Sea record -- reduced N fixation in ice age Atlantic -- has changed the scientific conversation about the nature of the input/output budget of oceanic fixed N and its potential to change ocean fertility and atmospheric CO2. However, the controls on fb-del15N have not yet been adequately studied.
In this project, as a first major step in developing a foundation for the paleoceanographic application of fb-del15N, the same Princeton University team will study its genesis in the water column, transport to the seafloor, and early diagenesis. They will undertake this study in the Sargasso Sea south of Bermuda. This is one of the best studied regions of the ocean, in general and with respect to foraminifera, and a region that has been has been a focus of the N isotope research of the PI for the last decade and others previously. Moreover, its significant seasonality -- in physical oceanography, biogeochemistry, and foraminiferal species abundance -- will facilitate the effort to understand the controls on fb-del15N at a mechanistic level. The research team will participate in six Bermuda Atlantic Time-series Study (BATS) cruises over two years, collecting foraminifera and other N forms likely to provide insight into the controls on fb-del15N. From the nearby Oceanic Flux Program (OFP) moored sediment traps and from shallow sediments collected in the region, they will pick foraminifera shells and again make relevant ancillary measurements. This work will establish the relationship of foraminiferal biomass to shell-bound del15N for different species, and comparison of the foraminiferal isotope data with the upper ocean N pools will yield empirical isotopic relationships and work toward a mechanistic insight of fb-del15N (e.g., the importance of different N pools to the diets of different foraminifera; the role of algal symbionts). The sediment trap and surface sediment data will support the plankton tow data by integrating over longer time scales and will also address questions regarding late stage (e.g., gametogenic) calcification and the early diagenesis of fb-del15N and fb-N content.
Broader Impacts: This study will yield an improved understanding of the nutrient dynamics of foraminifera, a class of organisms whose shells are a central tool in micropaleontology and paleoclimatology. The project will also build on the principal investigator's involvement in the Bermuda Institute of Ocean Sciences as an asset for integrating ocean-related education and research at both the undergraduate and graduate levels.";
    String projects_0_end_date "2016-03";
    String projects_0_geolocation "Sargasso Sea";
    String projects_0_name "Understanding the nitrogen isotopes of planktonic foraminifera: A modern Sargasso Sea study";
    String projects_0_project_nid "743583";
    String projects_0_start_date "2011-04";
    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 "d15N of size-fractionated particulate organic nitrogen (PON) from net tows in the Sargasso Sea (off Bermuda) in the western subtropical North Atlantic. Net tow samples from 0-200 m at BATS (31\\u00b040\\u2019N, 64\\u00b010\\u2019W) and Hydro Station S (32\\u00b010\\u2019N, 64\\u00b034\\u2019W).";
    String title "d15N of size-fractionated particulate organic nitrogen (PON) from net tows in the Sargasso Sea at BATS and Hydro Station S";
    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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