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Dataset Title:  Internal carbonic anhydrase activity in three species of coral collected from
the Florida Keys in August 2013
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_794342)
Range: longitude = -80.4391 to -80.3008°E, latitude = 25.1017 to 25.1193°N, time = 2013-08 to 2013-08
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  Species {
    String bcodmo_name "species";
    String description "Species name";
    String long_name "Species";
    String units "unitless";
  }
  Sample {
    String bcodmo_name "sample";
    String description "Sample ID";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  kif {
    Float32 _FillValue NaN;
    Float32 actual_range 16.8, 655.0;
    String bcodmo_name "unknown";
    String description "Internal carbonic anhydrase (CA) activity";
    String long_name "Kif";
    String units "/s";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 25.1017, 25.1193;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of sample collection";
    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 -80.4391, -80.3008;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of sample collection";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3753152e+9, 1.3753152e+9;
    String axis "T";
    String bcodmo_name "date";
    String description "Year and month of sample collection; format: yyyy-mm";
    String ioos_category "Time";
    String long_name "Collection Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Collection_Date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Fragments of Orbicella faveolata, Porites astreoides were collected from
Little Grecian reef (25.1193 N 80.3008 W) and Siderastrea radians was
collected from Florida Bay (25.1017 N, 80.4391 W) in Key Largo, FL, USA, in
August of 2013 as permitted by the Florida Keys National Marine Sanctuary
(FKNMS-2011-093, FKNMS-2014-015). Exposed skeleton was covered with modeling
clay, and the colonies were maintained in closed circulation tanks filled with
reef seawater, allowing at least 2 days of recovery after collection prior to
experimentation. The tank was exposed to a natural light regime, with shading
added at midday to keep solar irradiance below 600 umol photons m\\u22122
s\\u22121.";
    String awards_0_award_nid "521190";
    String awards_0_award_number "EF-1315944";
    String awards_0_data_url "http://nsf.gov/awardsearch/showAward?AWD_ID=1315944";
    String awards_0_funder_name "NSF Emerging Frontiers Division";
    String awards_0_funding_acronym "NSF EF";
    String awards_0_funding_source_nid "392";
    String awards_0_program_manager "Charles Cunningham";
    String awards_0_program_manager_nid "793492";
    String cdm_data_type "Other";
    String comment 
"Coral internal carbonic anhydrase (iCA) Activity 
  PI: Brian M. Hopkinson (UGA) 
  Version date: 2020-Feb-26";
    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 "2020-02-26T20:59:09Z";
    String date_modified "2020-03-04T17:25:28Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.794342.1";
    Float64 Easternmost_Easting -80.3008;
    Float64 geospatial_lat_max 25.1193;
    Float64 geospatial_lat_min 25.1017;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -80.3008;
    Float64 geospatial_lon_min -80.4391;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-12-03T04:43:16Z (local files)
2020-12-03T04:43:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_794342.das";
    String infoUrl "https://www.bco-dmo.org/dataset/794342";
    String institution "BCO-DMO";
    String instruments_0_acronym "Mass Spec";
    String instruments_0_dataset_instrument_description "18O-exchange was measured using a Pfeiffer QMS220M2 mass spectrometer.";
    String instruments_0_dataset_instrument_nid "794656";
    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 "Pfeiffer QMS220M2";
    String keywords "bco, bco-dmo, biological, chemical, collection, data, dataset, date, dmo, erddap, kif, latitude, longitude, management, oceanography, office, preliminary, sample, species, time";
    String license "https://www.bco-dmo.org/dataset/794342/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/794342";
    Float64 Northernmost_Northing 25.1193;
    String param_mapping "{'794342': {'Collection_Date': 'flag - time', 'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/794342/parameters";
    String people_0_affiliation "University of Georgia";
    String people_0_affiliation_acronym "UGA";
    String people_0_person_name "Brian M. Hopkinson";
    String people_0_person_nid "521182";
    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 BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "OA_coral_Ci_acquisition";
    String projects_0_acronym "OA_coral_Ci_acquisition";
    String projects_0_description 
"NSF Award Abstract: 
A significant portion of the carbon dioxide generated by human activity and released into the atmosphere dissolves into ocean waters, leading to ocean acidification. Acidification can impair the ability of many calcifying organisms, including reef-building corals, to form their calcium carbonate shells or skeletons but the mechanism of these effects is not well understood. This project will improve understanding of inorganic carbon processing in corals thereby providing insight into the effects of ocean acidification on calcification and photosynthesis in corals. Microelectrodes and membrane inlet mass spectrometry (MIMS) will be applied to measure the concentration and reaction rates of inorganic carbon and other chemical species involved in calcification and photosynthesis in three species of Caribbean corals. A major goal is to validate the use of MIMS techniques and microelectrodes in corals. Measurements will be used to develop a numerical model of inorganic carbon processing in corals, allowing chemical fluxes and the composition of the calcifying fluid to be constrained. Improved mechanistic understanding of the effects of ocean acidification on corals will permit robust predications about the longer-term effects of ocean acidification on corals and coral reefs. Broader Impacts: This project will improve predictions of the effects of ocean acidification on corals and coral reef ecosystems. Undergraduate and graduate students will be trained on the project and outreach activities include educating K-12 students and the general public about ocean acidification. A teaching module on the effects of ocean acidification on corals will be added to an existing set of ocean acidification lesson plans and a collaboration with the Driftwood Education Center will be established to make use of the ocean acidification teaching module. The investigators will host an annual mini-symposium called \"Symbiofest\", which attracts scientists working on corals and other symbioses from around the south-east and beyond.";
    String projects_0_end_date "2017-08";
    String projects_0_geolocation "Florida Keys, Laboratory in Athens Georgia";
    String projects_0_name "Ocean Acidification: Coral Inorganic Carbon Processing in Response to Ocean Acidification";
    String projects_0_project_nid "521205";
    String projects_0_start_date "2013-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 25.1017;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "time";
    String summary "Internal carbonic anhydrase activity in three species of coral collected from the Florida Keys in August 2013.";
    String time_coverage_end "2013-08";
    String time_coverage_start "2013-08";
    String title "Internal carbonic anhydrase activity in three species of coral collected from the Florida Keys in August 2013";
    String version "1";
    Float64 Westernmost_Easting -80.4391;
    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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