Accessing BCO-DMO data
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| Dataset Title: | Carbonate chemistry of Ulva lactuca culture pots testing the effects of pCO2 variability (Seaweed OA Resilience project) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_732177) |
| Information: | Summary
| License
| ISO 19115
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Attributes {
s {
Culture_Pot_ID {
Byte _FillValue 127;
Byte actual_range 1, 10;
String bcodmo_name "sample";
String description "Identification number of culture";
String long_name "Culture Pot ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
Exp_Trial {
Byte _FillValue 127;
Byte actual_range 2, 4;
String bcodmo_name "replicate";
String description "Trial consisting of a range of average of pCO2 levels crossed with either or low or high variability around the average pCO2 effect";
String long_name "Exp Trial";
String units "unitless";
}
Date {
String bcodmo_name "date_local";
String description "Date formatted as yyyy-mm-dd";
String long_name "Date";
String source_name "Date";
String time_precision "1970-01-01";
String units "unitless";
}
days_diff {
Byte _FillValue 127;
Byte actual_range 1, 6;
String bcodmo_name "days";
Float64 colorBarMaximum 10.0;
Float64 colorBarMinimum -10.0;
String description "Number of days between present and subsequent seawater samples to measure carbonate chemistry parameters";
String long_name "Days Diff";
String units "days";
}
pCO2weights {
Float64 _FillValue NaN;
Float64 actual_range 7.689138184, 7279.481028;
String bcodmo_name "unknown";
String description "Product of days_diff and pCO2: used to generated weighted estimates of the average and standard deviation carbonate chemistry parameters for each culture pot in each experimental trial";
String long_name "P CO2weights";
String units "microatmosphere days (µatm.days)";
}
wt_avg_pCO2 {
Int16 _FillValue 32767;
Int16 actual_range 248, 1001;
String bcodmo_name "pCO2";
String description "Weighted average of pCO2 partial pressure in seawater tanks";
String long_name "Wt Avg P CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmospheres (µatm)";
}
wt_sd_pCO2 {
Float32 _FillValue NaN;
Float32 actual_range 36.22, 1827.8;
String bcodmo_name "pCO2";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Weighted standard deviation of pCO2 partial pressure in seawater tanks";
String long_name "Wt Sd P CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmospheres (µatm)";
}
Sal_in {
Float32 _FillValue NaN;
Float32 actual_range 3.73, 34.09;
String bcodmo_name "sal";
String description "Salinity in situ";
String long_name "Sal In";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "parts per thousand (ppt)";
}
Temp_in {
Float32 _FillValue NaN;
Float32 actual_range 15.0, 16.3;
String bcodmo_name "temperature";
String description "Temperature in situ";
String long_name "Temp In";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
pH25 {
Float32 _FillValue NaN;
Float32 actual_range 7.44, 9.39;
String bcodmo_name "pH";
String description "pH in Total scale at 25 deg C";
String long_name "P H25";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
String units "unitless";
}
pHin {
Float32 _FillValue NaN;
Float32 actual_range 7.57, 9.6;
String bcodmo_name "pH";
String description "pH-Total scale in situ temperature";
String long_name "P Hin";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
String units "unitless";
}
CO2 {
Float32 _FillValue NaN;
Float32 actual_range 0.07, 76.7;
String bcodmo_name "TCO2";
String description "Carbon dioxide concentration";
String long_name "CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TCO2KG01/";
String units "micromoles/kilogram";
}
pCO2 {
Float32 _FillValue NaN;
Float32 actual_range 1.92, 1730.54;
String bcodmo_name "pCO2";
String description "CO2 partial pressure";
String long_name "P CO2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmospheres (µatm)";
}
fCO2 {
Float32 _FillValue NaN;
Float32 actual_range 1.92, 1724.38;
String bcodmo_name "fugacity of CO2";
String description "CO2 fugacity";
String long_name "F CO2";
String units "microatmospheres (µatm)";
}
HCO3 {
Float32 _FillValue NaN;
Float32 actual_range 327.51, 2610.53;
String bcodmo_name "bicarbonate";
String description "Bicarbonate ion concentration";
String long_name "HCO3";
String units "micromoles/kilogram";
}
CO3 {
Float32 _FillValue NaN;
Float32 actual_range 26.47, 948.02;
String bcodmo_name "carbonate";
String description "Carbonate ion concentration";
String long_name "CO3";
String units "micromoles/kilogram";
}
DIC {
Float32 _FillValue NaN;
Float32 actual_range 1275.6, 2769.91;
String bcodmo_name "DIC";
String description "Total dissolved inorganic carbon";
String long_name "DIC";
String units "micromoles/kilogram";
}
ALK {
Float32 _FillValue NaN;
Float32 actual_range 2053.86, 3033.89;
String bcodmo_name "TALK";
String description "Total Alkalinity measured";
String long_name "ALK";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
String units "micromoles/kilogram";
}
OmegaAragonite {
Float32 _FillValue NaN;
Float32 actual_range 0.42, 14.65;
String bcodmo_name "OM_ar";
String description "Aragonite saturation state";
String long_name "Omega Aragonite";
String units "unitless";
}
OmegaCalcite {
Float32 _FillValue NaN;
Float32 actual_range 0.75, 22.87;
String bcodmo_name "Calcite Saturation State";
String description "Calcite Saturation State";
String long_name "Omega Calcite";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Culture pots were placed in large thermally insulated coolers in a
temperature-controlled water bath at 15\\u00b0 C under saturating illumination
of ~550 \\u00b5moles photons/m^2/s on a 12:12 L:D cycle. pCO2 treatments were
supplied to closed culture pots by use of a gas mixing system combining
Nitrogen, Oxygen and Carbon Dioxide to specific CO2 partial pressures, 20.9%
oxygen and the balance being Nitrogen.
Carbonate chemistry parameters were measured by sampling pH and total
alkalinity (TA) of water samples. Seawater samples from each culture pot
during all 3 trials were collected 2-3 times per week in 50 ml Falcon tubes to
monitor the average and variability of 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.
Carbonate chemistry parameters (CO2 concentration, CO2 partial pressure, CO2
fugacity, HCO3, CO3, DIC, Omega Aragonite, Omega Calcite) and total scale pH
at in situ temperature were calculated using the seacarb package (V3.0.14) in
R (Lavigne et al. 2011).";
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 "David L. Garrison";
String awards_0_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Carbonate chemistry pCO2 - Ulva
Carbonate Chemistry in culture pots with Ulva testing effects of variability
PI's: J. Kubler, S. Dudgeon (CSU-Northridge)
version: 2018-03-22";
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 "2018-03-27T19:54:55Z";
String date_modified "2019-06-03T18:23:00Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.732177.1";
String history
"2024-04-25T19:35:29Z (local files)
2024-04-25T19:35:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_732177.html";
String infoUrl "https://www.bco-dmo.org/dataset/732177";
String institution "BCO-DMO";
String instruments_0_acronym "UV Spectrophotometer-Shimadzu";
String instruments_0_dataset_instrument_description "Used to measure pH total scale at 25C.";
String instruments_0_dataset_instrument_nid "732213";
String instruments_0_description "The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
String instruments_0_instrument_name "UV Spectrophotometer-Shimadzu";
String instruments_0_instrument_nid "595";
String instruments_0_supplied_name "Shimadzu UV-2450 UV-visible spectrophotometer";
String instruments_1_acronym "Multi Parameter Bench Meter";
String instruments_1_dataset_instrument_description "Used to measure pH, temperature and dissolved oxygen.";
String instruments_1_dataset_instrument_nid "732212";
String instruments_1_description "An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and Temperature with one device.";
String instruments_1_instrument_name "Multi Parameter Bench Meter";
String instruments_1_instrument_nid "680";
String instruments_1_supplied_name "Thermo Fisher Orion Star 329";
String instruments_2_acronym "Automatic titrator";
String instruments_2_dataset_instrument_description "Used to measure total alkalinity.";
String instruments_2_dataset_instrument_nid "732214";
String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
String instruments_2_instrument_name "Automatic titrator";
String instruments_2_instrument_nid "682";
String instruments_2_supplied_name "Mettler Toledo T50 equipped with Rondolino";
String instruments_3_acronym "MFC";
String instruments_3_dataset_instrument_description "Settings: Nitrogen, 1 L/min; Oxygen, 250 ml/min; CO2, 2 ml/min.";
String instruments_3_dataset_instrument_nid "732211";
String instruments_3_description "Mass Flow Controller (MFC) - A device used to measure and control the flow of fluids and gases";
String instruments_3_instrument_name "Mass Flow Controller";
String instruments_3_instrument_nid "712";
String instruments_3_supplied_name "Qubit Systems Mass Flow Controllers (MFC)";
String instruments_4_acronym "Aquarium chiller";
String instruments_4_dataset_instrument_nid "732210";
String instruments_4_description "Immersible or in-line liquid cooling device, usually with temperature control.";
String instruments_4_instrument_name "Aquarium chiller";
String instruments_4_instrument_nid "522982";
String instruments_4_supplied_name "Temperature control chiller: Aqua Logic Cyclone Chiller";
String keywords "alk, altimetry, aragonite, average, bco, bco-dmo, biological, calcite, carbon, carbon dioxide, carbonate, chemical, co2, co2weights, co3, culture, Culture_Pot_ID, data, dataset, date, days, days_diff, dic, diff, dioxide, dmo, erddap, exp, Exp_Trial, fCO2, h25, hco3, hin, laboratory, management, oceanography, office, omega, OmegaAragonite, OmegaCalcite, pCO2, pCO2weights, pH25, pHin, pot, preliminary, sal, Sal_in, satellite, Temp_in, temperature, time, trial, wt_avg_pCO2, wt_sd_pCO2";
String license "https://www.bco-dmo.org/dataset/732177/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/732177";
String param_mapping "{'732177': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/732177/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 "Seaweed OA Resilience";
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. Kübler 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. Kübler 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 "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 "This dataset reports the carbonate chemistry along with temperature, salinity and pH of Ulva lactuca grown in closed culture pots at varying pCO2 levels.";
String title "Carbonate chemistry of Ulva lactuca culture pots testing the effects of pCO2 variability (Seaweed OA Resilience project)";
String version "1";
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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.