Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Alkalinity and salinity from in-situ flume experiments to manipulate pCO2 on
shallow tropical coral reef communities at UCB Gump Research Station Moorea,
French Polynesia in May of 2018
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_812891)
Range: time = 2018-05-09T20:00Z to 2018-05-12T16:35Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
Constraint #2 ?
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
Time range:                    
[The graph you specified. Please be patient.]


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 {
  Date {
    String bcodmo_name "date_local";
    String description "Local Date (Tahiti, UTC-10) in ISO 8601 format yyyy-mm-dd";
    String long_name "Date";
    String time_precision "1970-01-01";
    String units "untiless";
  Flume {
    Byte _FillValue 127;
    Byte actual_range 1, 2;
    String bcodmo_name "tank";
    String description "Flume number";
    String long_name "Flume";
    String units "unitless";
  Sampling_Period {
    String bcodmo_name "site_descrip";
    String description "Time of incubation (D= Day,A = Afternoon,N=Night,M=Morning)";
    String long_name "Sampling Period";
    String units "unitless";
  Time_i {
    String bcodmo_name "time_local";
    String description "Start of Incubation.  Local time (Tahiti, UTC-10) in ISO 8601 format HH:MM.";
    String long_name "Time I";
    String units "unitless";
  Initial_Ta_avg {
    Float64 _FillValue NaN;
    Float64 actual_range 2316.6075, 2374.4725;
    String bcodmo_name "TALK";
    String description "Initial alkalinity at the start of the incubation.";
    String long_name "Initial Ta Avg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "umol kg-1";
  Initial_Sal {
    Float32 _FillValue NaN;
    Float32 actual_range 35.35, 35.77;
    String bcodmo_name "sal";
    String description "Initial salinity at the start of the incubation.";
    String long_name "Initial Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical Salinity Units (PSU)";
  Time_f {
    String bcodmo_name "time_local";
    String description "End of Incubation. Local time (Tahiti, UTC-10) in ISO 8601 format HH:MM.";
    String long_name "Time F";
    String units "unitless";
  Final_Ta_avg {
    Float64 _FillValue NaN;
    Float64 actual_range 2299.7325, 2371.9425;
    String bcodmo_name "TALK";
    String description "Final alkalinity at the end of the incubation.";
    String long_name "Final Ta Avg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "umol kg-1";
  Final_Sal {
    Float32 _FillValue NaN;
    Float32 actual_range 35.42, 35.77;
    String bcodmo_name "sal";
    String description "Final salinity at the end of the incubation.";
    String long_name "Final Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical Salinity Units (PSU)";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.525896e+9, 1.5261429e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Datetime (UTC) at the start of the incubation in 8601 format yyyy-mm-ddTHH:MMZ.  Thirty minute intervals.";
    String ioos_category "Time";
    String long_name "ISO Date Time I UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_i_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"The salinity of the samples was measured using a conductivity cell (Orion Star
A212 conductivity meter, Thermo-Scienti\\ufb01c, Waltham, MA). Within 24 h of
collection, the alkalinity of the samples was measured using open-cell
potentiometric titrations (Dickson et al. 2007).
The full methodology can be found in Srednick et al. (2020).";
    String awards_0_award_nid "536317";
    String awards_0_award_number "OCE-1415268";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1415268";
    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 awards_1_award_nid "734980";
    String awards_1_award_number "OCE-1637396";
    String awards_1_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1637396";
    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 "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Srednick et al. 2020 - L&O Methods - TA_SAL 
  PI: Robert Carpenter 
  Data Version 1: 2020-05-26";
    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 dataset_current_state "Final and no updates";
    String date_created "2020-05-26T19:58:22Z";
    String date_modified "2020-06-12T19:40:49Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.812891.1";
    String history 
"2024-07-16T15:49:26Z (local files)
2024-07-16T15:49:26Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_812891.das";
    String infoUrl "https://www.bco-dmo.org/dataset/812891";
    String institution "BCO-DMO";
    String instruments_0_acronym "Automatic titrator";
    String instruments_0_dataset_instrument_description "TA generated using a Mettler Toledo T50 fitted with a DG 115-SC electrode.";
    String instruments_0_dataset_instrument_nid "813000";
    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 "Salinity Sensor";
    String instruments_1_dataset_instrument_description "Salinity of the samples was measured using a conductivity cell (Orion Star A212 conductivity meter, Thermo-Scientific, Waltham, MA).";
    String instruments_1_dataset_instrument_nid "812986";
    String instruments_1_description "Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_1_instrument_name "Salinity Sensor";
    String instruments_1_instrument_nid "710";
    String instruments_1_supplied_name "Orion Star A212";
    String keywords "altimetry, average, bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, final, Final_Sal, Final_Ta_avg, flume, initial, Initial_Sal, Initial_Ta_avg, iso, laboratory, management, oceanography, office, period, preliminary, sal, sampling, Sampling_Period, satellite, time, Time_f, Time_i";
    String license "https://www.bco-dmo.org/dataset/812891/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/812891";
    String param_mapping "{'812891': {'ISO_DateTime_i_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/812891/parameters";
    String people_0_affiliation "California State University Northridge";
    String people_0_affiliation_acronym "CSU-Northridge";
    String people_0_person_name "Robert Carpenter";
    String people_0_person_nid "51535";
    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 "Peter J. Edmunds";
    String people_1_person_nid "51536";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "California State University Northridge";
    String people_2_affiliation_acronym "CSU-Northridge";
    String people_2_person_name "Griffin Srednick";
    String people_2_person_nid "737324";
    String people_2_role "Technician";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Amber D. York";
    String people_3_person_nid "643627";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "MCR LTER,OA coral adaptation";
    String projects_0_acronym "MCR LTER";
    String projects_0_description 
"From http://www.lternet.edu/sites/mcr/ and http://mcr.lternet.edu/:
The Moorea Coral Reef LTER site encompasses the coral reef complex that surrounds the island of Moorea, French Polynesia (17°30'S, 149°50'W). Moorea is a small, triangular volcanic island 20 km west of Tahiti in the Society Islands of French Polynesia. An offshore barrier reef forms a system of shallow (mean depth ~ 5-7 m), narrow (~0.8-1.5 km wide) lagoons around the 60 km perimeter of Moorea. All major coral reef types (e.g., fringing reef, lagoon patch reefs, back reef, barrier reef and fore reef) are present and accessible by small boat.
The MCR LTER was established in 2004 by the US National Science Foundation (NSF) and is a partnership between the University of California Santa Barbara and California State University, Northridge. MCR researchers include marine scientists from the UC Santa Barbara, CSU Northridge, UC Davis, UC Santa Cruz, UC San Diego, CSU San Marcos, Duke University and the University of Hawaii. Field operations are conducted from the UC Berkeley Richard B. Gump South Pacific Research Station on the island of Moorea, French Polynesia.
MCR LTER Data: The Moorea Coral Reef (MCR) LTER data are managed by and available directly from the MCR project data site URL shown above.  The datasets listed below were collected at or near the MCR LTER sampling locations, and funded by NSF OCE as ancillary projects related to the MCR LTER core research themes.
The following publications and data resulted from this project:
2012 Edmunds PJ. Effect of pCO2 on the growth, respiration, and photophysiology of massive Porites spp. in Moorea, French Polynesia. Marine Biology 159: 2149-2160. doi:10.1594/PANGAEA.820375Porites growth_respiration_photophysDownload complete data for this publication (Excel file)";
    String projects_0_geolocation "Island of Moorea, French Polynesia";
    String projects_0_name "Moorea Coral Reef Long-Term Ecological Research site";
    String projects_0_project_nid "2222";
    String projects_0_project_website "http://mcr.lternet.edu/";
    String projects_0_start_date "2004-09";
    String projects_1_acronym "OA coral adaptation";
    String projects_1_description 
"Extracted from the NSF award abstract:
This project focuses on the most serious threat to marine ecosystems, Ocean Acidification (OA), and addresses the problem in the most diverse and beautiful ecosystem on the planet, coral reefs. The research utilizes Moorea, French Polynesia as a model system, and builds from the NSF investment in the Moorea Coral Reef Long Term Ecological Research Site (LTER) to exploit physical and biological monitoring of coral reefs as a context for a program of studies focused on the ways in which OA will affect corals, calcified algae, and coral reef ecosystems. The project builds on a four-year NSF award with research in five new directions: (1) experiments of year-long duration, (2) studies of coral reefs to 20-m depth, (3) experiments in which carbon dioxide will be administered to plots of coral reef underwater, (4) measurements of the capacity of coral reef organisms to change through evolutionary and induced responses to improve their resistance to OA, and (5) application of emerging theories to couple studies of individual organisms to studies of whole coral reefs. Broader impacts will accrue through a better understanding of the ways in which OA will affect coral reefs that are the poster child for demonstrating climate change effects in the marine environment, and which provide income, food, and coastal protection to millions of people living in coastal areas, including in the United States. 
This project focuses on the effects of Ocean Acidification on tropical coral reefs and builds on a program of research results from an existing 4-year award, and closely interfaces with the technical, hardware, and information infrastructure provided through the Moorea Coral Reef (MCR) LTER. The MCR-LTER, provides an unparalleled opportunity to partner with a study of OA effects on a coral reef with a location that arguably is better instrumented and studied in more ecological detail than any other coral reef in the world. Therefore, the results can be both contextualized by a high degree of ecological and physical relevance, and readily integrated into emerging theory seeking to predict the structure and function of coral reefs in warmer and more acidic future oceans. The existing award has involved a program of study in Moorea that has focused mostly on short-term organismic and ecological responses of corals and calcified algae, experiments conducted in mesocosms and flumes, and measurements of reef-scale calcification. This new award involves three new technical advances: for the first time, experiments will be conducted of year-long duration in replicate outdoor flumes; CO2 treatments will be administered to fully intact reef ecosystems in situ using replicated underwater flumes; and replicated common garden cultivation techniques will be used to explore within-species genetic variation in the response to OA conditions. Together, these tools will be used to support research on corals and calcified algae in three thematic areas: (1) tests for long-term (1 year) effects of OA on growth, performance, and fitness, (2) tests for depth-dependent effects of OA on reef communities at 20-m depth where light regimes are attenuated compared to shallow water, and (3) tests for beneficial responses to OA through intrinsic, within-species genetic variability and phenotypic plasticity. Some of the key experiments in these thematic areas will be designed to exploit integral projection models (IPMs) to couple organism with community responses, and to support the use of the metabolic theory of ecology (MTE) to address scale-dependence of OA effects on coral reef organisms and the function of the communities they build.
The following publications and data resulted from this project:
Comeau S, Carpenter RC, Lantz CA, Edmunds PJ. (2016) Parameterization of the response of calcification to temperature and pCO2 in the coral Acropora pulchra and the alga Lithophyllum kotschyanum. Coral Reefs 2016. DOI 10.1007/s00338-016-1425-0.calcification rates (2014)calcification rates (2010)
Comeau, S., Carpenter, R.C., Edmunds, P.J.  (2016) Effects of pCO2 on photosynthesis and respiration of tropical scleractinian corals and calcified algae. ICES Journal of Marine Science doi:10.1093/icesjms/fsv267.respiration and photosynthesis Irespiration and photosynthesis II
Evensen, N.R. & Edmunds P. J. (2016) Interactive effects of ocean acidification and neighboring corals on the growth of Pocillopora verrucosa. Marine Biology, 163:148. doi: 10.1007/s00227-016-2921-zcoral growthseawater chemistrycoral colony interactions";
    String projects_1_end_date "2018-12";
    String projects_1_geolocation "Moorea, French Polynesia";
    String projects_1_name "Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity";
    String projects_1_project_nid "535322";
    String projects_1_project_website "http://mcr.lternet.edu";
    String projects_1_start_date "2015-01";
    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 "Alkalinity and salinity from in-situ flume experiments to manipulate pCO2 on shallow tropical coral reef communities at UCB Gump Research Station Moorea, French Polynesia in May of 2018.  These data are for a proof of trial experiment for the Shallow COral REef Free Ocean Carbon Enrichment (SCORE FOCE), outlined in Srednick et al. (2020).";
    String time_coverage_end "2018-05-12T16:35Z";
    String time_coverage_start "2018-05-09T20:00Z";
    String title "Alkalinity and salinity from in-situ flume experiments to manipulate pCO2 on shallow tropical coral reef communities at UCB Gump Research Station Moorea, French Polynesia in May of 2018";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.5";


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
For example,
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.

ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact