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Dataset Title:  Geochemical concentrations (ppm) of six elements measured in Atlantic croaker
otoliths Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_784969)
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 {
  Distance {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5153.152;
    String bcodmo_name "length";
    String description "Otolith transect distance traversed by laser; distance across the otolith.";
    String long_name "Distance";
    String units "Microns (um)";
  }
  Mg_m24 {
    Float32 _FillValue NaN;
    Float32 actual_range -7753.623, 2074812.0;
    String bcodmo_name "Mg";
    String description "Concentration of Magnesium isotope 24";
    String long_name "MG M24";
    String units "Parts per million (ppm)";
  }
  Mg_m25 {
    Float32 _FillValue NaN;
    Float32 actual_range -11749.69, 904323.2;
    String bcodmo_name "Mg";
    String description "Concentration of Magnesium isotope 25";
    String long_name "MG M25";
    String units "Parts per million (ppm)";
  }
  Mn_m55 {
    Float32 _FillValue NaN;
    Float32 actual_range -50721.08, 139996.9;
    String bcodmo_name "Mn";
    String description "Concentration of Manganese isotope 55";
    String long_name "MN M55";
    String units "Parts per million (ppm)";
  }
  Sr_m88 {
    Float32 _FillValue NaN;
    Float32 actual_range -2.198206e+7, 2375908.0;
    String bcodmo_name "Sr";
    String description "Concentration of Strontium isotope 88";
    String long_name "SR M88";
    String units "Parts per million (ppm)";
  }
  In_115 {
    Float32 _FillValue NaN;
    Float32 actual_range -223.3741, 5985342.0;
    String bcodmo_name "unknown";
    String description "Concentration of Indium isotope 115";
    String long_name "In 115";
    String units "Parts per million (ppm)";
  }
  I_m127 {
    Float32 _FillValue NaN;
    Float32 actual_range -571979.3, 4090194.0;
    String bcodmo_name "unknown";
    String description "Concentration of Iodine isotope 127";
    String long_name "I M127";
    String units "Parts per million (ppm)";
  }
  Ba_m138 {
    Float32 _FillValue NaN;
    Float32 actual_range -1971003.0, 48423.34;
    String bcodmo_name "Ba";
    String description "Concentration of Barium isotope 138";
    String long_name "Ba M138";
    String units "Parts per million (ppm)";
  }
  Fish_ID {
    String bcodmo_name "sample";
    String description "Fish ID; number of each individual fish";
    String long_name "Fish ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Otolith element concentrations for each individual fish (labeled as \\u201cHMU
####\\u201d) were measured at the University of Austin, Jackson School of
Geosciences using laser ablation inductively coupled mass spectrometry.\\u00a0
Standard reference materials included a National Institutes of Standards and
Technology glass standard (NIST-612) and a United States Geological Survey
microanalytical carbonate standard pressed pellet (MACS-3). Otolith element
concentrations were quantified along the longest dorso-ventral axis spanning
the core (i.e. hatch) to the edge (i.e. death). Please reference Altenritter
et al. (2018) and Altenritter and Walther (2019) for detailed information on
sampling and analysis, instrumentation, and data processing.
 
\\u00a0";
    String awards_0_award_nid "781423";
    String awards_0_award_number "OCE-1633020";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1633020";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Otolith concentrations 
  PI: Benjamin Walther  
  Data Version 1: 2019-12-24";
    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 "2019-12-23T21:54:08Z";
    String date_modified "2020-03-20T16:18:08Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.784969.1";
    String history 
"2024-04-19T09:22:42Z (local files)
2024-04-19T09:22:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_784969.das";
    String infoUrl "https://www.bco-dmo.org/dataset/784969";
    String institution "BCO-DMO";
    String instruments_0_acronym "Mass Spec";
    String instruments_0_dataset_instrument_description "Analytical instrumentation included an Agilent 7500ce ICP-Q-MS coupled with a UP-193 FX laser ablation system";
    String instruments_0_dataset_instrument_nid "784983";
    String instruments_0_description "General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Mass Spectrometer";
    String instruments_0_instrument_nid "685";
    String instruments_0_supplied_name "Agilent 7500ce ICP-Q-MS";
    String keywords "Ba_m138, bco, bco-dmo, biological, chemical, data, dataset, distance, dmo, erddap, fish, Fish_ID, I_m127, In_115, m127, m138, m24, m25, m55, m88, management, Mg_m24, Mg_m25, Mn_m55, oceanography, office, preliminary, Sr_m88";
    String license "https://www.bco-dmo.org/dataset/784969/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/784969";
    String param_mapping "{'784969': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/784969/parameters";
    String people_0_affiliation "Texas A&M, Corpus Christi";
    String people_0_affiliation_acronym "TAMU-CC";
    String people_0_person_name "Benjamin Walther";
    String people_0_person_nid "516254";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "State University of New York ESF";
    String people_1_affiliation_acronym "SUNY ESF";
    String people_1_person_name "Karin Limburg";
    String people_1_person_nid "516272";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Syracuse University";
    String people_2_affiliation_acronym "SU";
    String people_2_person_name "Dr Zunli Lu";
    String people_2_person_nid "516274";
    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 "Karen Soenen";
    String people_3_person_nid "748773";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "OtolithHypoxia";
    String projects_0_acronym "OtolithHypoxia";
    String projects_0_description 
"Description from NSF award abstract:
Hypoxia occurs when dissolved oxygen concentrations in aquatic habitats drop below levels required by living organisms. The increased frequency, duration and intensity of hypoxia events worldwide have led to impaired health and functioning of marine and freshwater ecosystems. Although the potential impacts of hypoxic exposure are severe, there is little known about the consequences of systemic, sub-lethal exposure to hypoxic events for populations and communities of fishes. The objective of this project is to determine whether sub-lethal exposure to hypoxia during early life stages leads to poor growth and hence increased mortality. This project will use \"environmental fingerprint\" methods in fish ear stones (otoliths) retrospectively to identify periods of hypoxia exposure. The project will compare consequences of hypoxia exposure in different fish species from the Gulf of Mexico, the Baltic Sea, and Lake Erie, thus examining the largest anthropogenic hypoxic regions in the world spanning freshwater, estuarine, and marine ecosystems.
This project will employ long-term, permanent markers incorporated into fish otoliths to identify life-long patterns of sub-lethal hypoxia exposure far beyond time spans currently achievable using molecular markers. This work will capitalize on patterns of geochemical proxies such as Mn/Ca and I/Ca incorporated into otoliths and analyzed using laser ablation inductively coupled plasma mass spectrometry to identify patterns of sub-lethal hypoxia exposure. The investigators will then determine whether exposure results in differential growth and survival patterns compared to non-exposed fish by tracking cohorts over time and identifying characteristics of survivors. Because this work involves multiple species in multiple hypoxic regions, it will allow cross-system comparisons among unique ecosystems. The results from this project will thus provide unprecedented insight into effects of hypoxia exposure in three major basins using novel biogeochemical proxies, thereby paving the way for a fuller understanding of the impacts of \"dead zones\" on coastal resources.";
    String projects_0_end_date "2019-08";
    String projects_0_geolocation "Northern Gulf of Mexico, Baltic Sea, and Lake Erie";
    String projects_0_name "Collaborative Research: Consequences of sub-lethal hypoxia exposure for teleosts tracked with biogeochemical markers: a trans-basin comparison";
    String projects_0_project_nid "516275";
    String projects_0_start_date "2014-09";
    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 "Geochemical concentrations (ppm) of six elements measured in otoliths of Atlantic croaker sampled on board of the R/V Oregon II during the NOAA Seamap Fall Groundfish Survey of 2014 (Oct 10 to Nov 4) and 2015 (Oct 8 to Nov 22).";
    String title "Geochemical concentrations (ppm) of six elements measured in Atlantic croaker otoliths";
    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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