Accessing BCO-DMO data
Brought to you by BCO-DMO
|
|
BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
| Dataset Title: | [GN01 Silicon Stable Isotopes] - Depth profiles of the isotopic composition (d30Si) of silicon within dissolved silicic acid on the US GEOTRACES Arctic cruise GN01 (HLY1502) from August to October 2015 (U.S. Arctic GEOTRACES Study) 
|
| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_809612) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Files
| Make a graph
|
Attributes {
s {
Station_ID {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 4, 66;
String bcodmo_name "station";
String description "Sampling station";
String long_name "Station ID";
String units "unitless";
}
Start_Date_UTC {
String bcodmo_name "date";
String description "CTD start date (UTC); format: yyyy-mm-dd";
String long_name "Start Date UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
Start_Time_UTC {
String bcodmo_name "time";
String description "CTD start time (UTC); format: HH:MM";
String long_name "Start Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.43970978e+9, 1.44423372e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "CTD start date and time (UTC) in ISO8601 format: yyyy-mm-ddTHH:MMZ";
String ioos_category "Time";
String long_name "Start ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "Start_ISO_DateTime_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";
}
End_Date_UTC {
String bcodmo_name "date";
String description "CTD end date (UTC); format: yyyy-mm-dd";
String long_name "End Date UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
End_Time_UTC {
String bcodmo_name "time";
String description "CTD end time (UTC); format: HH:MM";
String long_name "End Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
End_ISO_DateTime_UTC {
String bcodmo_name "ISO_DateTime_UTC";
String description "CTD end date and time (UTC) in ISO8601 format: yyyy-mm-ddTHH:MMZ";
String long_name "End ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String time_precision "1970-01-01T00:00Z";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 65.8093, 89.9876;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "CTD start latitude in decimal degrees";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String source_name "Start_Latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -179.8086, 179.1997;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "CTD start longitude in decimal degrees";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String source_name "Start_Longitude";
String standard_name "longitude";
String units "degrees_east";
}
End_Latitude {
Float32 _FillValue NaN;
Float32 actual_range 65.8093, 89.9881;
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "CTD end latitude in decimal degrees";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "decimal degrees";
}
End_Longitude {
Float32 _FillValue NaN;
Float32 actual_range -179.81, 179.3519;
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "CTD end longitude in decimal degrees";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "decimal degrees";
}
Event_ID {
Int16 _FillValue 32767;
Int16 actual_range 6036, 6484;
String bcodmo_name "event";
String description "Geotraces event number";
String long_name "Event ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
String units "unitless";
}
Sample_ID {
Int16 _FillValue 32767;
Int16 actual_range 10613, 12306;
String bcodmo_name "sample";
String description "Geotraces sample number";
String long_name "Sample ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 2.0, 4200.1;
String axis "Z";
String bcodmo_name "depth";
String description "Niskin trip depth. Multiple bottles were tripped to collect sample water; our samples were linked to the Niskin number having both oxygen and salinity bottle data.";
String ioos_category "Location";
String long_name "Sample Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String positive "down";
String standard_name "depth";
String units "m";
}
SILICATE_30_28_D_DELTA_BOTTLE_5ib7da {
Float32 _FillValue NaN;
Float32 actual_range 1.46, 2.8;
String bcodmo_name "Si";
String description "mean delta30Si(OH)4 relative to the NBS28 standard";
String long_name "Mass Concentration Of Silicate In Sea Water";
String units "per mil";
}
SD1_SILICATE_30_28_D_DELTA_BOTTLE_5ib7da {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 0.2;
String bcodmo_name "Si";
String description "std dev delta30Si(OH)4 relative to the NBS28 standard";
String long_name "Mass Concentration Of Silicate In Sea Water";
String units "per mil";
}
Flag_SILICATE_30_28_D_DELTA_BOTTLE_5ib7da {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 9;
String bcodmo_name "q_flag";
Float64 colorBarMaximum 150.0;
Float64 colorBarMinimum 0.0;
String description "quality flag for SILICATE_30_28_D_DELTA_BOTTLE_5ib7da: 1 Good = Passed documented required QC tests; 2 = Not evaluated, not available or unknown: Used for data when no QC test performed or the information on quality is not available; 3 = Questionable/suspect: Failed non-critical documented metric or subjective test(s); 4 = Bad: Failed critical documented QC test(s) or as assigned by the data provider; 9 = Missing data: Used as place holder when data are missing.";
String long_name "Flag SILICATE 30 28 D DELTA BOTTLE 5ib7da";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Samples collected from Niskin bottles using the GEOTRACES ODF CTD-rosette
system. (Note on niskin trip depths reported in dataset: multiple bottles were
tripped to collect sample water; these samples were linked to the Niskin
number having both oxygen and salinity bottle data.)
Seawater samples for \\u03b430Si measurements were collected using a
Oceanographic Data Facilitiy\\u2019s (ODF, Scripps Institution of Oceanography)
CTD-rosette mounted with Niskin samplers and a Sea-Bird Electronics CTD
(SBE9plus). Seawater was gravity filtered into polypropylene containers
through in-line Supor filter capsules (0.8/0.45 \\u00b5m) attached directly to
each Niskin bottle. Sample bottles were capped and stored without preservative
in the dark.
Back in the laboratory, the silicon from seawater was precipitated of as
trimethylamine silicomolybdate using a high purity triethlyamine ammonium
molybdate solution (TEA-Moly). The precipitate was isolated by filtration onto
a polycarbonate filter and purified by high temperature combustion to produce
solid silicon dioxide. SiO2 was then converted to solid Cs2SiF6 by dissolution
in HF and addition of CsCl. The Cs2SiF6 was rinsed with ethanol, dried and
dissolved in high purity (>18M\\u03a9) water. BaSiF6 was precipitated by the
addition of BaCl, rinsed with ethanol and dried.
Isotopic ratio analysis was performed using a Nu Perspective isotope ratio
mass spectrometer equipped with a Nu Sil inlet system. Samples as BaSiF6 are
loaded into sample vials that are placed in a sample carousel in the Nu Sil.
Samples are sequentially heated to 590\\u00b0C.
Isotope delta values are normalized against the international standard NBS28.
For more information, see the Protocol document\\u00a0(under Supplemental
Files).";
String awards_0_award_nid "809607";
String awards_0_award_number "OCE-1434305";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1434305";
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
"Silicon Stable Isotopes
U.S. GEOTRACES Arctic - HLY1502 (GN01)
PI: Mark Brzezinski (UCSB)
Contact: Janice Jones (UCSB)
Version date: 17 April 2020";
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 "2020-04-17T16:17:51Z";
String date_modified "2020-04-20T14:41:35Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.809612.1";
Float64 Easternmost_Easting 179.1997;
Float64 geospatial_lat_max 89.9876;
Float64 geospatial_lat_min 65.8093;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 179.1997;
Float64 geospatial_lon_min -179.8086;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 4200.1;
Float64 geospatial_vertical_min 2.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T17:31:10Z (local files)
2024-11-23T17:31:10Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_809612.html";
String infoUrl "https://www.bco-dmo.org/dataset/809612";
String institution "BCO-DMO";
String instruments_0_acronym "Niskin bottle";
String instruments_0_dataset_instrument_description "Samples were collected from Niskin bottles using the GEOTRACES ODF CTD-rosette system.";
String instruments_0_dataset_instrument_nid "809622";
String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
String instruments_0_instrument_name "Niskin bottle";
String instruments_0_instrument_nid "413";
String instruments_1_acronym "CTD Sea-Bird";
String instruments_1_dataset_instrument_description "Seawater samples for δ30Si measurements were collected using a Oceanographic Data Facilitiy’s (ODF, Scripps Institution of Oceanography) CTD-rosette mounted with Niskin samplers and a Sea-Bird Electronics CTD (SBE9plus).";
String instruments_1_dataset_instrument_nid "809623";
String instruments_1_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
String instruments_1_instrument_name "CTD Sea-Bird";
String instruments_1_instrument_nid "447";
String instruments_1_supplied_name "SBE9plus";
String instruments_2_acronym "IR Mass Spec";
String instruments_2_dataset_instrument_description "Isotopic ratio analysis was performed using a Nu Perspective isotope ratio mass spectrometer equipped with a Nu Sil inlet system.";
String instruments_2_dataset_instrument_nid "809624";
String instruments_2_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
String instruments_2_instrument_name "Isotope-ratio Mass Spectrometer";
String instruments_2_instrument_nid "469";
String instruments_2_supplied_name "Nu Perspective isotope ratio mass spectrometer";
String keywords "5ib7da, bco, bco-dmo, biological, bottle, chemical, chemistry, concentration, data, dataset, date, delta, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Silicate, end, End_Date_UTC, End_ISO_DateTime_UTC, End_Latitude, End_Longitude, End_Time_UTC, erddap, event, Event_ID, flag, Flag_SILICATE_30_28_D_DELTA_BOTTLE_5ib7da, iso, latitude, longitude, management, mass, mass_concentration_of_silicate_in_sea_water, ocean, oceanography, oceans, office, preliminary, sample, Sample_Depth, Sample_ID, science, SD1_SILICATE_30_28_D_DELTA_BOTTLE_5ib7da, sea, seawater, silicate, SILICATE_30_28_D_DELTA_BOTTLE_5ib7da, start, Start_Date_UTC, Start_Time_UTC, station, Station_ID, time, water";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/809612/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/809612";
Float64 Northernmost_Northing 89.9876;
String param_mapping "{'809612': {'Start_ISO_DateTime_UTC': 'flag - time', 'Sample_Depth': 'flag - depth', 'Start_Longitude': 'flag - longitude', 'Start_Latitude': 'flag - latitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/809612/parameters";
String people_0_affiliation "University of California-Santa Barbara";
String people_0_affiliation_acronym "UCSB-MSI";
String people_0_person_name "Mark A. Brzezinski";
String people_0_person_nid "50663";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of California-Santa Barbara";
String people_1_affiliation_acronym "UCSB";
String people_1_person_name "Janice L. Jones";
String people_1_person_nid "51661";
String people_1_role "Contact";
String people_1_role_type "related";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Shannon Rauch";
String people_2_person_nid "51498";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "U.S. GEOTRACES Arctic,GEOTRACES Arctic Si Isotopes";
String projects_0_acronym "U.S. GEOTRACES Arctic";
String projects_0_description
"Description from NSF award abstract:
In pursuit of its goal \"to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions\", in 2015 the International GEOTRACES Program will embark on several years of research in the Arctic Ocean. In a region where climate warming and general environmental change are occurring at amazing speed, research such as this is important for understanding the current state of Arctic Ocean geochemistry and for developing predictive capability as the regional ecosystem continues to warm and influence global oceanic and climatic conditions. The three investigators funded on this award, will manage a large team of U.S.scientists who will compete through the regular NSF proposal process to contribute their own unique expertise in marine trace metal, isotopic, and carbon cycle geochemistry to the U.S. effort. The three managers will be responsible for arranging and overseeing at-sea technical services such as hydrographic measurements, nutrient analyses, and around-the-clock management of on-deck sampling activites upon which all participants depend, and for organizing all pre- and post-cruise technical support and scientific meetings. The management team will also lead educational outreach activities for the general public in Nome and Barrow, Alaska, to explain the significance of the study to these communities and to learn from residents' insights on observed changes in the marine system. The project itself will provide for the support and training of a number of pre-doctoral students and post-doctoral researchers. Inasmuch as the Arctic Ocean is an epicenter of global climate change, findings of this study are expected to advance present capability to forecast changes in regional and globlal ecosystem and climate system functioning.
As the United States' contribution to the International GEOTRACES Arctic Ocean initiative, this project will be part of an ongoing multi-national effort to further scientific knowledge about trace elements and isotopes in the world ocean. This U.S. expedition will focus on the western Arctic Ocean in the boreal summer of 2015. The scientific team will consist of the management team funded through this award plus a team of scientists from U.S. academic institutions who will have successfully competed for and received NSF funds for specific science projects in time to participate in the final stages of cruise planning. The cruise track segments will include the Bering Strait, Chukchi shelf, and the deep Canada Basin. Several stations will be designated as so-called super stations for intense study of atmospheric aerosols, sea ice, and sediment chemistry as well as water-column processes. In total, the set of coordinated international expeditions will involve the deployment of ice-capable research ships from 6 nations (US, Canada, Germany, Sweden, UK, and Russia) across different parts of the Arctic Ocean, and application of state-of-the-art methods to unravel the complex dynamics of trace metals and isotopes that are important as oceanographic and biogeochemical tracers in the sea.";
String projects_0_end_date "2017-06";
String projects_0_geolocation "Arctic Ocean; Sailing from Dutch Harbor to Dutch Harbor";
String projects_0_name "U.S. Arctic GEOTRACES Study";
String projects_0_project_nid "638812";
String projects_0_start_date "2014-07";
String projects_1_acronym "GEOTRACES Arctic Si Isotopes";
String projects_1_description
"NSF Award Abstract:
An investigator will participate in the 2015 U.S. GEOTRACES Arctic Ocean expedition and measure silicon isotopes composition of silicic acid in seawater samples, as well as diatoms and sea ice. In common with other multinational initiatives in the International GEOTRACES program, the goals of the U.S. Arctic expedition are to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions. Some trace elements are essential to life, others are known biological toxins, and still others are important because they can be used as tracers of a variety of physical, chemical, and biological processes in the sea. As silicon is a key component of diatom shells, the measurement of their concentrations in this study can provide an important indicator of primary productivity, both in the present day, as well as past oceans. The project will provide training for undergraduate students and a post-doctoral researcher in silicon chemistry, as well as include outreach to K-12 students.
The silicon isotope proxy is increasingly being used to assess the role of diatoms and silicic acid supply to past shifts in ocean productivity and their role in Earth's climate. Application of the proxy requires knowledge of the silicon isotopic composition of ventilating water masses. Uncertainty in these values translates directly into uncertainty in the level of productivity implied by the proxy. The growing global data set of silicon isotopes in marine waters suggest that silicon isotopes in subsurface waters are not uniform, but vary systematically driven by interactions between silicon isotope fractionation, the biological pump and thermohaline circulation. In addition, significant anomalies exist between model predictions and observations. In this study, researchers will test hypotheses regarding the origin of this signal and the mechanisms controlling silicon isotope distributions within the Arctic Ocean by greatly expanding the silicon isotope data set for this region. The overarching hypothesis to be tested is that silicon isotope distributions are controlled by the coupling of silicon fractionation during silica production and during silica dissolution to the biological pump and to the meridional overturning circulation.";
String projects_1_end_date "2019-12";
String projects_1_name "GEOTRACES Arctic Section: Diagnosing the unique silicon isotope composition of the Arctic Ocean";
String projects_1_project_nid "809608";
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)";
Float64 Southernmost_Northing 65.8093;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "The isotopic composition of dissolved silicon (\\u03b430Si) has proven to be a powerful tool to better understand the marine Si cycle. The \\u03b430Si of seawater carries information about DSi utilization in surface waters, the subsequent dissolution of sinking biogenic material as well as water mass mixing. This data set supplies information on the spatial distribution of isotopes of Si within water masses in the Arctic Ocean from the Bering Strait to the north pole. Profiles of silicon isotopes within silicic acid, \\u03b430Si(OH)4, were obtained at a total of 15 stations on the GEOTRACES GN01 cruise";
String time_coverage_end "2015-10-07T16:02Z";
String time_coverage_start "2015-08-16T07:23Z";
String title "[GN01 Silicon Stable Isotopes] - Depth profiles of the isotopic composition (d30Si) of silicon within dissolved silicic acid on the US GEOTRACES Arctic cruise GN01 (HLY1502) from August to October 2015 (U.S. Arctic GEOTRACES Study)";
String version "1";
Float64 Westernmost_Easting -179.8086;
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.