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Dataset Title:  Calculated gross dissolution rates at 10.0 \u00b0C and at 25.0 \u00b0C.   RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_723867)
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 {
  Organism_type {
    String description "Organism type";
    String ioos_category "Unknown";
    String long_name "Organism Type";
    String units "name";
  }
  Scientific_name {
    String description "Scientific name";
    String ioos_category "Taxonomy";
    String long_name "Scientific Name";
    String units "name";
  }
  Temp {
    Byte _FillValue 127;
    Byte actual_range 10, 25;
    String description "Temperature at which the experiment was conducted";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Arag_sat {
    Float32 _FillValue NaN;
    Float32 actual_range 0.394, 4.61;
    String description "Aragonite saturation state ?";
    String ioos_category "Unknown";
    String long_name "Arag Sat";
    String units "omega";
  }
  diss_rate {
    Float32 _FillValue NaN;
    Float32 actual_range -0.385, 0.014;
    String description "Dissolution rate (weight percent per day)";
    String ioos_category "Unknown";
    String long_name "Diss Rate";
    String units "percent per day";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description "\"\"";
    String awards_0_award_nid "562813";
    String awards_0_award_number "OCE-1437371";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1437371";
    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 "Dr David  L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "562824";
    String awards_1_award_number "OCE-1459706";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459706";
    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 "Dr Candace O. Major";
    String awards_1_program_manager_nid "51690";
    String cdm_data_type "Other";
    String comment 
"Dissolution kinetics of 10 marine calcifiers: Dissolution rates 
 PI: Justin B. Ries (NEU-MSC) 
 Dateset ID: 723867 
 Version: 1 
 Last updated: 2018-01-17";
    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 2.2d  13 Jun 2019";
    String date_created "2018-01-17T16:31:39Z";
    String date_modified "2019-06-12T18:52:57Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.723867.1";
    String history 
"2019-07-21T00:03:03Z (local files)
2019-07-21T00:03:03Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_723867.das";
    String infoUrl "https://www.bco-dmo.org/dataset/723867";
    String institution "BCO-DMO";
    String instruments_0_acronym "Scale";
    String instruments_0_dataset_instrument_nid "725879";
    String instruments_0_description "An instrument used to measure weight or mass.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB13/";
    String instruments_0_instrument_name "Scale";
    String instruments_0_instrument_nid "714";
    String instruments_0_supplied_name "Cole Parmer Symmetry PR 410 analytical balance";
    String keywords "arag, Arag_sat, bco, bco-dmo, biological, chemical, data, dataset, diss, diss_rate, dmo, erddap, management, name, oceanography, office, organism, Organism_type, preliminary, rate, sat, scientific, Scientific_name, taxonomy, Temp, temperature, type";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/723867";
    String param_mapping "{'723867': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/723867/parameters";
    String people_0_affiliation "Northeastern University";
    String people_0_affiliation_acronym "NEU";
    String people_0_person_name "Dr Justin B Ries";
    String people_0_person_nid "51345";
    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 "Megan Switzer";
    String people_1_person_nid "708683";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "A combined boron isotope, pH microelectrode and pH-sensitive dye approach to constraining acid/base chemistry in the calcifying fluids of corals";
    String projects_0_acronym "CoralCalcifyFluid_pH";
    String projects_0_description 
"Description from NSF award abstract:
The anthropogenic elevation of atmospheric CO2 is causing the oceans to become more acidic, which may make it more challenging for corals to build their skeletons and, ultimately, entire reef structures. How corals respond to future ocean acidification will largely depend on how the pH of the internal fluid from which they produce their skeletons-their so-called calcifying fluid-is impacted by the surrounding seawater. It is therefore essential that current methods are refined to accurately measure the pH of corals' calcifying fluids in order to understand and, ideally, predict their responses to CO2-induced ocean acidification. In this project, a three-pronged approach to measure calcifying fluid pH within three species of reef-forming corals will be used to assess how their calcifying fluid pH responds to experimentally induced ocean acidification. This research will improve our understanding of corals' responses to ocean acidification and thus has the potential to inform the decisions of policy makers and legislators seeking to mitigate the deleterious effects of rising atmospheric CO2 on marine ecosystems. The work will support the development of three early career scientists, a postdoctoral fellow, graduate students, and undergraduate researcher assistants-several of whom are from underrepresented groups in the earth and ocean sciences. Results will be widely disseminated through publications, conference presentations, the PIs' websites, an educational film, coursework, and outreach activities at area schools, museums, and science centers.
Corals and other types of marine calcifiers are thought to begin the mineralization of their calcium carbonate skeletons by actively elevating pH of their calcifying fluid, thereby converting bicarbonate ions (comprising ~90% of seawater dissolved inorganic carbon) to carbonate ions, the form of carbon used in calcification. This project will compare the combined boron isotope, pH microelectrode, and pH-sensitive dye approach to measure the calcifying fluid pH of three species of scleractinian corals, and to assess how their calcifying fluid pH (a primary factor controlling their calcification) responds to experimentally induced ocean acidification. As a result this multi-pronged approach to measuring calcifying fluid pH of the same coral species under equivalent culturing conditions will permit the first systematic cross-examination of the validity of these independent approaches. The combined approach will also yield values of calcifying fluid pH with uncertainties that can be quantified via inter-comparison and statistical treatment of these independent measurements. Importantly, this multi-pronged approach will be used on three coral species that due to differences in the carbonate chemistry of their native waters possess differing capacities for proton regulation at their site of calcification; a deep, cold-water coral (strong proton-pumper); a shallow, temperate coral (moderate proton-pumper); and a shallow, tropical coral (weak proton-pumper). Target outcomes of this research include (1) cross-examination of the validity of three independent approaches to estimating coral calcifying fluid pH, (2) quantification of uncertainty associated with the three approaches to estimating coral calcifying fluid pH, (3) advancement of our mechanistic understanding of coral calcification, (4) exploration of the mechanism by which ocean acidification impacts coral calcification, (5) elucidation why corals exhibit such varied responses to ocean acidification, (6) identification of coral types most vulnerable to ocean acidification, (7) exploration of so-called \"vital effects\" that limit the use of corals in paleoceanographic reconstructions, and (8) quantitative constraint of existing models of coral biomineralization.";
    String projects_0_end_date "2017-08";
    String projects_0_geolocation "Marine Science Center, Northeastern University";
    String projects_0_name "A combined boron isotope, pH microelectrode and pH-sensitive dye approach to constraining acid/base chemistry in the calcifying fluids of corals";
    String projects_0_project_nid "562814";
    String projects_0_project_website "http://nuweb2.neu.edu/rieslab/";
    String projects_0_start_date "2014-09";
    String publisher_name "Megan Switzer";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Dissolution kinetics of 10 marine calcifiers, calculated gross dissolution rates at 10.0 \\u00b0C and at 25.0 \\u00b0C.";
    String title "Calculated gross dissolution rates at 10.0 \\u00b0C and at 25.0 \\u00b0C.";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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