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Dataset Title:  Carbonate chemistry in experimental cultures of Plocamium cartilagineum
cultured at different temperatures and pCO2 levels (Seaweed OA Resilience
project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_726664)
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 {
  trial {
    Byte _FillValue 127;
    Byte actual_range 2, 8;
    String description "experimental trial identifier";
    String ioos_category "Unknown";
    String long_name "Trial";
    String units "unitless";
  }
  expt_day {
    Byte _FillValue 127;
    Byte actual_range 1, 48;
    String description "days from beginning of trial when data were collected";
    String ioos_category "Time";
    String long_name "Expt Day";
    String units "day number";
  }
  date {
    String description "date of measurment formatted as yyyy-mm-dd";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "date";
    String units "unitless";
  }
  sample {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1, 9.2;
    String description "Sample replicate ID in each pot";
    String ioos_category "Unknown";
    String long_name "Sample";
    String units "unitless";
  }
  pH25 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.5049, 8.7451;
    String description "pH in Total scale at 25 deg C";
    String ioos_category "Unknown";
    String long_name "P H25";
    String units "unitless";
  }
  sal_insitu {
    Float32 _FillValue NaN;
    Float32 actual_range 29.76, 37.74;
    String description "Salinity in situ";
    String ioos_category "Unknown";
    String long_name "Sal Insitu";
    String units "parts per thousand (ppt)";
  }
  temp_insitu {
    Float32 _FillValue NaN;
    Float32 actual_range 2.1, 25.25;
    String description "Temperature in situ";
    String ioos_category "Unknown";
    String long_name "Temp Insitu";
    String units "degrees Celsius";
  }
  pH_insitu {
    Float32 _FillValue NaN;
    Float32 actual_range 7.5537, 8.8314;
    String description "pH-Total scale in situ temperature";
    String ioos_category "Salinity";
    String long_name "P H Insitu";
    String units "unitless";
  }
  CO2 {
    String description "Carbon dioxide concentration";
    String ioos_category "CO2";
    String long_name "CO2";
    String units "??mol/kilogram";
  }
  pCO2 {
    String description "CO2 partial pressure";
    String ioos_category "CO2";
    String long_name "P CO2";
    String units "??atmospheres (atm)";
  }
  fCO2 {
    String description "CO2 fugacity";
    String ioos_category "CO2";
    String long_name "F CO2";
    String units "??atmospheres (atm)";
  }
  HCO3 {
    String description "Bicarbonate ion concentration";
    String ioos_category "CO2";
    String long_name "HCO3";
    String units "??mol/kilogram";
  }
  CO3 {
    String description "Carbonate ion concentration";
    String ioos_category "CO2";
    String long_name "CO3";
    String units "??mol/kilogram";
  }
  DIC {
    String description "Total carbon dissolved inorganic";
    String ioos_category "Unknown";
    String long_name "DIC";
    String units "??mol/kilogram";
  }
  ALK {
    String description "Total Alkalinity measured";
    String ioos_category "Unknown";
    String long_name "ALK";
    String units "??mol/kilogram";
  }
  OmegaAragonite {
    String description "Aragonite saturation state";
    String ioos_category "Unknown";
    String long_name "Omega Aragonite";
    String units "unitless";
  }
  OmegaCalcite {
    String description "Calcite Saturation State";
    String ioos_category "Unknown";
    String long_name "Omega Calcite";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Plocamium cartilagineum was collected from Santa Catalina Island and Leo
Carollo, CA in June - Nov. 2014 and Jan. 2015.
 
Carbonate chemistry parameters were measured by sampling pH and total
alkalinity (TA) of water samples. Seawater samples from each culture pot
during all 7 trials were collected approximately every other day in 50 ml
Falcon tubes to verify experimental treatment conditions. Water samples were
measured usually within 1-2 hours of sample collection. pH was determined
using the m-cresol indicator dye method in a spectrophotometer (Dickson et al.
2007). TA samples were analyzed by potentiometric titration coupled to a pH
electrode calibrated using certified reference material (CRM) from the Dickson
laboratory at Scripps Oceanographic Institute and the pH electrode calibrated
using TRIS buffer (Dickson et al. 2007). TA and carbonate parameters were
calculated from potentiometric titration data and spectrophotometric pH data.
 
Note: Trial 1 was a pilot test of culture system and methodological procedures
so was not used for data collection in the testing of hypotheses.
 
See Supplemental Files for a table of culture conditions for each of the 8
trials (pdf).";
    String awards_0_award_nid "55177";
    String awards_0_award_number "OCE-1316198";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1316198";
    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 cdm_data_type "Other";
    String comment 
"Carbonate chemistry in culture pots 
   S. Dudgeon, J. Kubler (CSU) 
   version: 2018-02-07";
    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 "2018-02-09T14:55:55Z";
    String date_modified "2019-06-03T19:58:15Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.726664.1";
    String history 
"2019-11-17T03:07:47Z (local files)
2019-11-17T03:07:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_726664.das";
    String infoUrl "https://www.bco-dmo.org/dataset/726664";
    String institution "BCO-DMO";
    String instruments_0_acronym "Automatic titrator";
    String instruments_0_dataset_instrument_description "Used to measure total alkalinity; equipped with Rondolino automated titration stand.";
    String instruments_0_dataset_instrument_nid "726674";
    String instruments_0_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_0_instrument_name "Automatic titrator";
    String instruments_0_instrument_nid "682";
    String instruments_0_supplied_name "Mettler Toledo T50";
    String instruments_1_acronym "Spectrophotometer";
    String instruments_1_dataset_instrument_description "Used to measure pH (at temperature�25 C)";
    String instruments_1_dataset_instrument_nid "726670";
    String instruments_1_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_1_instrument_name "Spectrophotometer";
    String instruments_1_instrument_nid "707";
    String instruments_1_supplied_name "Shimadzu UV-2450 UV-visible spectrophotometer";
    String instruments_2_dataset_instrument_description "YSI 556 MPS (Trials 1-5) and Thermo Fisher Orion Star 329� (trials 6-8) used to measure salinity and temperature.";
    String instruments_2_dataset_instrument_nid "726671";
    String instruments_2_description "An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and temperature with one device and is portable or hand-held.";
    String instruments_2_instrument_name "Multi Parameter Portable Meter";
    String instruments_2_instrument_nid "489457";
    String keywords "alk, altimetry, aragonite, bco, bco-dmo, biological, calcite, carbon, carbon dioxide, carbonate, chemical, co2, co3, data, dataset, date, day, dic, dioxide, dmo, erddap, expt, expt_day, fCO2, h25, hco3, insitu, laboratory, management, oceanography, office, omega, OmegaAragonite, OmegaCalcite, pCO2, pH25, pH_insitu, preliminary, sal, sal_insitu, salinity, sample, satellite, temp_insitu, temperature, time, trial";
    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/726664";
    String param_mapping "{'726664': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/726664/parameters";
    String people_0_affiliation "California State University Northridge";
    String people_0_affiliation_acronym "CSU-Northridge";
    String people_0_person_name "Dr Janet  E Kubler";
    String people_0_person_nid "51681";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "California State University Northridge";
    String people_1_affiliation_acronym "CSU-Northridge";
    String people_1_person_name "Dr Steve Dudgeon";
    String people_1_person_nid "51682";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae";
    String projects_0_acronym "Seaweed OA Resilience";
    String projects_0_description "Benthic macroalgae contribute to intensely productive near shore  ecosystems and little is known about the potential effects of ocean  acidification on non-calcifying macroalgae. K�bler and Dudgeon will test  hypotheses about two macroalgae, Ulva spp. and Plocamium cartilagineum,  which, for different reasons, are hypothesized to be more productive  and undergo ecological expansions under predicted changes in ocean  chemistry. They have designed laboratory culture-based experiments to  quantify the scope for response to ocean acidification in Plocamium,  which relies solely on diffusive uptake of CO2, and populations of Ulva  spp., which have an inducible concentrating mechanism (CCM). The  investigators will culture these algae in media equilibrated at 8  different pCO2 levels ranging from 380 to 940 ppm to address three key  hypotheses. The first is that macroalgae (such as Plocamium  cartilagineum) that are not able to acquire inorganic carbon in changed  form will benefit, in terms of photosynthetic and growth rates, from  ocean acidification. There is little existing data to support this  common assumption. The second hypothesis is that enhanced growth of Ulva  sp. under OA will result from the energetic savings from down  regulating the CCM, rather than from enhanced photosynthesis per se.  Their approach will detect existing genetic variation for adaptive  plasticity. The third key hypothesis to be addressed in short-term  culture experiments is that there will be a significant interaction  between ocean acidification and nitrogen limited growth of Ulva spp.,  which are indicator species of eutrophication. K�bler and Dudgeon will  be able to quantify the individual effects of ocean acidification and  nitrogenous nutrient addition on Ulva spp. and also, the synergistic  effects, which will inevitably apply in many highly productive, shallow  coastal areas. The three hypotheses being addressed have been broadly  identified as urgent needs in our growing understanding of the impacts  of ocean acidification.";
    String projects_0_end_date "2016-05";
    String projects_0_geolocation "Temperate coastal waters of the USA (30 - 45 N latitude, -66 to -88 W and -117 to -125 W longitude)";
    String projects_0_name "Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae";
    String projects_0_project_nid "2275";
    String projects_0_start_date "2013-06";
    String publisher_name "Nancy Copley";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Carbonate chemistry in experimental cultures of  Plocamium cartilagineum cultured at different temperatures and pCO2 levels.";
    String title "Carbonate chemistry in experimental cultures of  Plocamium cartilagineum cultured at different temperatures and pCO2 levels (Seaweed OA Resilience project)";
    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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