Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [Ulva: Growth] - Growth rates of Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project) (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_732600) |
| Information: | Summary
| License
| ISO 19115
| Metadata
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Attributes {
s {
Label {
String bcodmo_name "sample";
String description "Trial and culture pot number";
String long_name "Label";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
pCO2_avg {
Int16 _FillValue 32767;
Int16 actual_range 248, 1001;
String bcodmo_name "pCO2";
String description "Average pCO2 partial pressure in seawater tanks";
String long_name "P CO2 Avg";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmospheres (µatm)";
}
pCO2_sd {
Float32 _FillValue NaN;
Float32 actual_range 36.22, 1827.8;
String bcodmo_name "pCO2";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Variability of pCO2 partial pressure - standard deviation";
String long_name "P CO2 Sd";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
String units "microatmospheres (µatm)";
}
GP1i {
Float32 _FillValue NaN;
Float32 actual_range 0.05, 0.13;
String bcodmo_name "weight";
String description "Pot biomass at the beginning of the first growth interval";
String long_name "GP1i";
String units "grams";
}
GP1f {
Float32 _FillValue NaN;
Float32 actual_range 0.12, 1.09;
String bcodmo_name "weight";
String description "Pot biomass at the end of the first growth interval";
String long_name "GP1F";
String units "grams";
}
GP2i {
Float32 _FillValue NaN;
Float32 actual_range 0.12, 1.09;
String bcodmo_name "weight";
String description "Pot biomass at the beginning of the second growth interval";
String long_name "GP2i";
String units "grams";
}
GP2f {
Float32 _FillValue NaN;
Float32 actual_range 0.19, 9.14;
String bcodmo_name "weight";
String description "Pot biomass at the end of the second growth interval";
String long_name "GP2F";
String units "grams";
}
GP3i {
Float32 _FillValue NaN;
Float32 actual_range 0.19, 2.14;
String bcodmo_name "weight";
String description "Pot biomass at the beginning of the third growth interval";
String long_name "GP3i";
String units "grams";
}
GP3f {
Float32 _FillValue NaN;
Float32 actual_range 0.33, 10.07;
String bcodmo_name "weight";
String description "Pot biomass at the end of the third growth interval";
String long_name "GP3F";
String units "grams";
}
RGR_GP1 {
Float64 _FillValue NaN;
Float64 actual_range 6.440539014, 36.56190842;
String bcodmo_name "growth";
String description "Calculated relative growth rate for the 1st growth interval";
String long_name "RGR GP1";
String units "%/day";
}
RGR_GP2 {
Float64 _FillValue NaN;
Float64 actual_range 7.03256994, 42.70059048;
String bcodmo_name "growth";
String description "Calculated relative growth rate for the 2nd growth interval";
String long_name "RGR GP2";
String units "%/day";
}
RGR_GP3 {
Float64 _FillValue NaN;
Float64 actual_range -6.980403475, 34.61145124;
String bcodmo_name "growth";
String description "Calculated relative growth rate for the 3rd growth interval";
String long_name "RGR GP3";
String units "%/day";
}
RGR_GP1to3_Net {
Float64 _FillValue NaN;
Float64 actual_range 5.239759631, 27.5381111;
String bcodmo_name "growth";
String description "Calculated net growth integrated across experiment duration";
String long_name "RGR GP1to3 Net";
String units "%/day";
}
added_mass {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 8.57;
String bcodmo_name "weight";
String description "Summed biomass of small fragments from thalli in each growth interval";
String long_name "Added Mass";
String units "grams";
}
RGR_GP1to3_Abs {
Float64 _FillValue NaN;
Float64 actual_range 10.68895258, 27.65505603;
String bcodmo_name "weight";
String description "Calculated absolute growth integrated across experiment duration";
String long_name "RGR GP1to3 Abs";
String units "grams";
}
Total_mass {
Float32 _FillValue NaN;
Float32 actual_range 0.57, 10.3;
String bcodmo_name "weight";
String description "Sum of GP3f and added_mass";
String long_name "Total Mass";
String units "grams";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Growth rate was measured in batch culture by pooling all plant thalli and
summing them to attain the datum for the culture pot. Hence, the culture pot
is the unit of replication. Growth rate was measured by recording the fresh
weight of living material approximately every 6 days. Plant tissue was lightly
stacked and gently pressed between layers of Kimwipes. This method reduced
handling time and removed superficial water prior to weighing. The stack was
then weighed together to attain the fresh weight for the pot. Relative growth
rate was then calculated following L\\u00fcning (1990):\\u00a0 RGR(% . day-1 =
(100*Ln(W2/W1))/(t2-t1), where W1, W2, t1, t2 correspond to fresh weights at
times 1 (t1) and 2 (t2), respectively. The weekly relative growth rates track
the dynamics of growth and its variation during the experiment. In addition to
growth rates estimated approximately weekly, estimates of overall net and
absolute growth rates integrated across the 3-week experiment were also made
using the initial and final starting masses. The difference between the
overall net and absolute growth rate estimates is that the latter estimate
includes small tissue fragments derived from whole thalli that occasionally
appeared at the end of a weekly growth interval, but were thought to not be
healthy viable fragments that would generate new growth in the subsequent
interval so were discarded at the beginning of the next growth interval.
Note: Trial 1 was a pilot test of culture system and methodological procedures
so was not used for data collection";
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
"Ulva_Growth_pCO2_var - Ulva
Growth rates of Ulva exposed to different average and variability of pCO2
PI's: J. Kubler, S. Dudgeon (CSU-Northridge)
version: 2019-06-03";
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 "2018-03-28T20:16:28Z";
String date_modified "2019-06-06T19:31:33Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.732600.1";
String history
"2024-12-03T17:29:26Z (local files)
2024-12-03T17:29:26Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_732600.html";
String infoUrl "https://www.bco-dmo.org/dataset/732600";
String institution "BCO-DMO";
String instruments_0_acronym "Scale";
String instruments_0_dataset_instrument_nid "732608";
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 "Mettler Toledo AG204 Delta Range Analytical Balance";
String keywords "abs, added, added_mass, average, bco, bco-dmo, biological, carbon, carbon dioxide, chemical, co2, data, dataset, dioxide, dmo, erddap, gp1, gp1f, gp1i, gp1to3, gp2, gp2f, gp2i, gp3, gp3f, gp3i, label, management, mass, net, oceanography, office, pCO2_avg, pCO2_sd, preliminary, rgr, RGR_GP1, RGR_GP1to3_Abs, RGR_GP1to3_Net, RGR_GP2, RGR_GP3, total, Total_mass";
String license "https://www.bco-dmo.org/dataset/732600/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/732600";
String param_mapping "{'732600': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/732600/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 includes growth rates of Ulva measured at three weekly intervals as well as integrated over the experimental trial grown in culture under various pCO2 levels from May through July 2015.";
String title "[Ulva: Growth] - Growth rates of Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project) (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae)";
String version "2";
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.