Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [KOSMOS14 DMSPO Concentrations] - Concentrations of DMS, DMSPp, DMSPd, & DMSOd in relation to ocean acidification [H+] during the KOSMOS 2014 mesocosm experiment off Gran Canaria (Ocean Acidification: Influence of Ocean Acidification on Biotic Controls of DMS Emissions) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_769302) |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_769302.png?Date,Experimental_Day&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
Date {
Int32 _FillValue 2147483647;
Int32 actual_range 20140928, 20141125;
String bcodmo_name "date";
String description "Date; format: yyyymmdd";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String units "unitless";
}
Experimental_Day {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range -3, 55;
String bcodmo_name "time_elapsed";
String description "Experimental day";
String long_name "Experimental Day";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
String units "unitless";
}
Mesocosm {
String bcodmo_name "sample_descrip";
String description "Mesocosm identifier";
String long_name "Mesocosm";
String units "unitless";
}
Proton_Conc {
Float32 _FillValue NaN;
Float32 actual_range 6.36, 27.24;
String bcodmo_name "unknown";
String description "Proton concentration [H+]";
String long_name "Proton Conc";
String units "nanomoles per liter (nmol L-1)";
}
DMS {
Float32 _FillValue NaN;
Float32 actual_range 0.8, 22.2;
String bcodmo_name "dimethyl sulphide";
String description "Seawater DMS concentration";
String long_name "DMS";
String units "nanomoles per liter (nmol L-1)";
}
DMSPp {
Int16 _FillValue 32767;
Int16 actual_range 3, 141;
String bcodmo_name "dimethylsulphoniopropionate";
String description "Particulate DMSP concentration";
String long_name "DMSPP";
String units "nanomoles per liter (nmol L-1)";
}
DMSPd {
Float32 _FillValue NaN;
Float32 actual_range 0.5, 15.2;
String bcodmo_name "dimethylsulphoniopropionate";
String description "Dissolved DMSP concentration";
String long_name "DMSPD";
String units "nanomoles per liter (nmol L-1)";
}
DMSOd {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 6, 28;
String bcodmo_name "unknown";
String description "Dissolved DMSO concentration";
String long_name "DMSOd";
String units "nanomoles per liter (nmol L-1)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"From Archer et al. (2018): The mesocosm experiment was conducted in Gando Bay,
on the east coast of Gran Canaria (27\\u00b0 55' 41\\\" N, 15\\u00b0 21' 55\\\" W)
in the subtropical North Atlantic. Sample processing, analysis and further
experiments were conducted in the laboratories of Plataforma Oce\\u00e1nica de
Canarias (PLOCAN), Gran Canaria. The full experiment took place from 23rd
September to 25th November 2014. The design and deployment of the Kiel Off-
Shore Mesocosms for future Ocean Simulations (KOSMOS) facility has previously
been described in detail (Riebesell et al., 2013).
Sampling and analytical procedures: The experimental set-up and sampling of
the mesocosms is described in Taucher et al. (2017).
Procedures for the analysis of reduced sulfur compounds was based on purge-
and-cryotrap approaches linked to a gas chromatograph with either flame FPD or
mass spectrometric detector and is described in Archer et al. (2018).
Quantification of dissolved DMSO [DMSOd] closely followed the protocol of del
Valle et al. (2007) and is reported in Archer et al. (2018).
Additional data from the experiment has been deposited on the PANGEA database:
[https://www.pangaea.de/?q=KOSMOS_2014](\\\\\"https://www.pangaea.de/?q=KOSMOS_2014\\\\\")";
String awards_0_award_nid "754542";
String awards_0_award_number "OCE-1316133";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1316133";
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 "Henrietta N Edmonds";
String awards_0_program_manager_nid "51517";
String cdm_data_type "Other";
String comment
"Concentrations of DMS, DMSPp, DMSPd, and DMSOd in relation to ocean acidification [H+]
during the KOSMOS 2014 mesocosm experiment off Gran Canaria
PI: Stephen Archer (Bigelow)
Co-PIs: Patricia Matrai & Peter Countway (Bigelow)
Version date: 03-June-2019";
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 "2019-06-03T20:00:45Z";
String date_modified "2019-06-26T19:59:13Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.769302.1";
String history
"2024-11-08T06:11:32Z (local files)
2024-11-08T06:11:32Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_769302.das";
String infoUrl "https://www.bco-dmo.org/dataset/769302";
String institution "BCO-DMO";
String instruments_0_acronym "Gas Chromatograph";
String instruments_0_dataset_instrument_description "Procedures for the analysis of reduced sulfur compounds was based on purge-and-cryotrap approaches linked to a gas chromatograph with either flame FPD or mass spectrometric detector.";
String instruments_0_dataset_instrument_nid "769452";
String instruments_0_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
String instruments_0_instrument_name "Gas Chromatograph";
String instruments_0_instrument_nid "661";
String instruments_0_supplied_name "gas chromatograph";
String keywords "bco, bco-dmo, biological, chemical, conc, data, dataset, date, day, dmo, dms, dmsod, dmspd, dmspp, erddap, experimental, Experimental_Day, management, mesocosm, oceanography, office, preliminary, proton, Proton_Conc";
String license "https://www.bco-dmo.org/dataset/769302/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/769302";
String param_mapping "{'769302': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/769302/parameters";
String people_0_affiliation "Bigelow Laboratory for Ocean Sciences";
String people_0_person_name "Stephen D. Archer";
String people_0_person_nid "51176";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Bigelow Laboratory for Ocean Sciences";
String people_1_person_name "Peter Countway";
String people_1_person_nid "51304";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Bigelow Laboratory for Ocean Sciences";
String people_2_person_name "Patricia A. Matrai";
String people_2_person_nid "51449";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "Bigelow Laboratory for Ocean Sciences";
String people_3_person_name "Stephen D. Archer";
String people_3_person_nid "51176";
String people_3_role "Contact";
String people_3_role_type "related";
String people_4_affiliation "Woods Hole Oceanographic Institution";
String people_4_affiliation_acronym "WHOI BCO-DMO";
String people_4_person_name "Shannon Rauch";
String people_4_person_nid "51498";
String people_4_role "BCO-DMO Data Manager";
String people_4_role_type "related";
String project "OA on DMS";
String projects_0_acronym "OA on DMS";
String projects_0_description
"NSF Award Abstract:
To date, investigations into the biogeochemical consequences of predicted increases in pCO2 and reduced pH in the oceans (ocean acidification, OA) over the next century have largely focused on the production and fate of carbon. Considerably less is known about how OA will influence other biogeochemical cycles or the exchange of reactive trace gases between ocean and atmosphere. Variations in trace gas exchange will alter atmospheric chemistry, including aerosol formation and growth, and potentially feedback on climate change.
In this project, a research team at the Bigelow Laboratory for Ocean Sciences will study the influence of OA on the biological processes that govern the concentrations and hence emission, of dimethyl sulfide (DMS) in the surface oceans. The team will study OA effects on the DMS-cycle in three natural-water mesocosm experiments designed to encompass natural community responses to predicted changes in pCO2 of varying degrees. They will exploit the opportunity to participate in a major experiment in sub-tropical oceanic waters involving the deployment of nine large scale (~60 m3) free floating, pelagic mesocosms, as part of the German-funded BIOACID Program. Two replicate experiments conducted using the new mesocosm facilities at Bigelow will further expand the environmental range of DMS-OA studies. Through a combination of standard analytical approaches, recently developed cutting-edge tracer approaches to determine process rates, as well as the underlying organism diversity and genetic response of microbes involved with biogenic sulfur cycling, they will determine how altered pH influences key biological pathways governing DMS concentrations and the organisms responsible during the experiments.
Broader Impacts: The information generated will be used to inform on-going development of global ocean-atmosphere coupled models, able to examine the influence of ocean acidification on climate change. The information will also be used to further develop physiology-based mechanistic approaches to biogeochemical ecosystem models. A Postdoctoral Research Scientist will be trained in the experimental approaches, will gain modeling experience by working with European scientists, and will develop international and US collaborations, with a common aim to increase our understanding of ocean acidification on ecosystem function. Four undergraduates, two interns and two REU-students, will gain valuable experience by participating in the Bigelow experiments. An additional undergraduate with a mathematical background will be mentored in and participate in the interpretation and modeling aspects. Extensive outreach to K-12 students and teachers as well as the general public will be pursued as part of established Bigelow programs in which all PIs will participate (BLOOM, Cafe Scientifique). Joint programs with Colby College (Changing Oceans semester) and Island Institute will reach undergraduates and Maine island K-8 schools, respectively.";
String projects_0_end_date "2018-09";
String projects_0_geolocation "Sub-tropical Atlantic and Gulf of Maine";
String projects_0_name "Ocean Acidification: Influence of Ocean Acidification on Biotic Controls of DMS Emissions";
String projects_0_project_nid "754543";
String projects_0_start_date "2013-10";
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 "Concentrations of DMS, DMSPp, DMSPd, & DMSOd in relation to ocean acidification [H+] during the KOSMOS 2014 mesocosm experiment off Gran Canaria. The full experiment took place from 23rd September to 25th November 2014.";
String title "[KOSMOS14 DMSPO Concentrations] - Concentrations of DMS, DMSPp, DMSPd, & DMSOd in relation to ocean acidification [H+] during the KOSMOS 2014 mesocosm experiment off Gran Canaria (Ocean Acidification: Influence of Ocean Acidification on Biotic Controls of DMS Emissions)";
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.