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Dataset Title:  [Guaymas Basin 2014 Si] - Porewater Si concentrations from sediment cores
collected on the Guaymas Basin Ridge flanks and the Sonora Margin from R/V El
Puma during October 2014 (RAPID proposal: Site characterization cruise to
document the active and extensive subsurface biosphere in the Guaymas Basin)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_784204)
Range: longitude = -111.87617 to -111.22955°E, latitude = 27.20745 to 27.86855°N, time = 2014-10-17 to 2014-10-22
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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 {
  core {
    String bcodmo_name "core_id";
    String description "Core identifier";
    String long_name "Core";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 27.20745, 27.86855;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at sampling location; positive = north";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -111.87617, -111.22955;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at sampling location; negative = west";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_water {
    Int16 _FillValue 32767;
    Int16 actual_range 667, 1859;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Water depth at sampling location";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters (m)";
  }
  core_sample {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 20;
    String bcodmo_name "sample";
    String description "Identifier for the core sample";
    String long_name "Core Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  depth_cmbsf {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 466.0;
    String bcodmo_name "depth_bsf";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth in centimeters below seafloor";
    String long_name "Depth";
    String standard_name "depth";
    String units "centimeters (cm)";
  }
  Si {
    Float64 _FillValue NaN;
    Float64 actual_range 0.051505259, 0.920282354;
    String bcodmo_name "Si";
    String description "Si concentration";
    String long_name "Mass Concentration Of Silicate In Sea Water";
    String units "millimoles per liter (mmol/L)";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.413504e+9, 1.413936e+9;
    String axis "T";
    String bcodmo_name "date";
    String description "Sample date. Format: yyyy-mm-dd";
    String ioos_category "Time";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"All coring operations were performed using a the piston-coring system onboard
the R/V El Puma. See
[http://www.buques.unam.mx](\\\\\"http://www.buques.unam.mx\\\\\") for additional
information.
 
Filtered but unamended porewater samples, stored at 4\\u00b0C, were used for
quantifying multiple stable ions, including silicate, by ion chromatography at
GEOMAR, Kiel, Germany (Hensen et al., 2007).";
    String awards_0_award_nid "554980";
    String awards_0_award_number "OCE-0939564";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0939564";
    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 "626086";
    String awards_1_award_number "OCE-1449604";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1449604";
    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 "Dr Thomas Janecek";
    String awards_1_program_manager_nid "511697";
    String cdm_data_type "Other";
    String comment 
"Porewater Si concentrations from sediment cores  
   collected on the Guaymas Basin Ridge flanks and the Sonora Margin during October 2014 
  PI: Andreas Teske (UNC Chapel Hill) 
  Co-PIs: Ivano Aiello (Moss Landing Marine Laboratories) & Ana Christina Ravelo (UC Santa Cruz) 
  Version date: 12-Dec-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 "2019-12-12T18:25:21Z";
    String date_modified "2020-02-11T19:45:05Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.784204.1";
    Float64 Easternmost_Easting -111.22955;
    Float64 geospatial_lat_max 27.86855;
    Float64 geospatial_lat_min 27.20745;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.22955;
    Float64 geospatial_lon_min -111.87617;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T05:53:39Z (local files)
2024-11-08T05:53:39Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_784204.das";
    String infoUrl "https://www.bco-dmo.org/dataset/784204";
    String institution "BCO-DMO";
    String instruments_0_acronym "Ion Chromatograph";
    String instruments_0_dataset_instrument_nid "784241";
    String instruments_0_description "Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html)";
    String instruments_0_instrument_name "Ion Chromatograph";
    String instruments_0_instrument_nid "662";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, concentration, core, core_sample, data, dataset, date, depth, depth_cmbsf, depth_water, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Silicate, erddap, latitude, longitude, management, mass, mass_concentration_of_silicate_in_sea_water, ocean, oceanography, oceans, office, preliminary, sample, science, sea, seawater, silicate, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/784204/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/784204";
    Float64 Northernmost_Northing 27.86855;
    String param_mapping "{'784204': {'date': 'flag - time', 'lat': 'flag - latitude', 'long': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/784204/parameters";
    String people_0_affiliation "University of North Carolina at Chapel Hill";
    String people_0_affiliation_acronym "UNC-Chapel Hill";
    String people_0_person_name "Andreas P. Teske";
    String people_0_person_nid "51412";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Moss Landing Marine Laboratories";
    String people_1_affiliation_acronym "MLML";
    String people_1_person_name "Ivano Aiello";
    String people_1_person_nid "661682";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Cruz";
    String people_2_affiliation_acronym "UC Santa Cruz";
    String people_2_person_name "Ana Christina Ravelo";
    String people_2_person_nid "661684";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "RAPID Guaymas Basin,C-DEBI Guaymas Subseafloor Life";
    String projects_0_acronym "RAPID Guaymas Basin";
    String projects_0_description 
"Description from NSF project abstract:
The Guaymas Basin in the central Gulf of California is an active tectonic spreading center overlain with thick, organic-rich sediments. In contrast to typical deep-water, mid-ocean ridge spreading centers that have very focused magmatism and little or no sediment, magmatism in the Guaymas Basis is more broadly distributed. This broadly-distributed magmatism significantly expands the fraction of organic-rich sediments that may be subject to alteration by the magmatic heat and thus it greatly expands the range of environments that support hydrocarbon generation and microbial populations in the sediments. Recognition that magmatism is not confined to the spreading axis, but instead is distributed throughout Guaymas Basin, suggests that models for the natural sequestration of carbon, the formation of oceanic crust, and life in the subsurface in marginal rift basins should be reconsidered as this has implications for the long-term removal of atmospheric carbon dioxide (and hence potential climatic implications). The Principal Investigator of this RAPID proposal is a lead proponent on an International Ocean Discovery Program (IODP) proposal to study this system in depth through scientific ocean drilling. To properly plan this expensive IODP expedition, additional site characterization gained from sediment sampling and seismic data is required. This proposal requests funds for the Principal Investigator to participate on an already planned site survey cruise aboard the Mexican Research Vessel (RV) El Puma. The results from this cruise will provide valuable data, at an exceptionally low investment, to guide decisions about potential future scientific drilling in the Guaymas Basin.
This RAPID proposal requests funds for the Principal Investigator to participate on a Mexican site survey cruise in October 2014 on RV El Puma to collect five-meter gravity cores of an extensive sediment transect across the Guaymas Basin and to integrate sequencing-based microbial community analyses of subsurface bacteria and archaea with biogechemical characterizations of these subsurface sediments. Gravity coring and microbial community analysis will target cold non-hydrothermal sediments as well as off-axis hydrothermally-influenced sediments. The gravity coring campaign and the geochemistry/microbiology studies are coordinated with heatflow measurements and extensive 2D seismic analysis and high-resolution 3D seismic mapping by other planned Mexican and German cruises. This multi-pronged strategy will deliver the additional data and complete the site characterizations that are required to properly plan a potential IODP drilling expedition by the JOIDES Resolution.";
    String projects_0_end_date "2015-08";
    String projects_0_geolocation "Guaymas Basin";
    String projects_0_name "RAPID proposal: Site characterization cruise to document the active and extensive subsurface biosphere in the Guaymas Basin";
    String projects_0_project_nid "626087";
    String projects_0_start_date "2014-09";
    String projects_1_acronym "C-DEBI Guaymas Subseafloor Life";
    String projects_1_description 
"Project description from C-DEBI:
The Guaymas Basin in the Gulf of California is a young marginal rift basin characterized by active seafloor spreading and rapid deposition of organic-rich sediments, characterized by extensive temperature and geochemical gradients. Deeply emplaced volcanic sills originating at the spreading center indurate and altered their surrounding sediment matrix, and shape hydrothermal circulation patterns (Einsele et al. 1980). Hydrothermal alteration and mobilization re-injects buried carbon into the biosphere (esp. as hydrocarbons and methane), a process with climate history relevance (Peter et al. 1991, Lizarralde et al. 2011). Subsurface microbial populations can intercept and process these hydrothermally generated and mobilized carbon sources (Teske et al. 2014). In support of a new IODP drilling proposal (No. 833), two Guaymas Basin site survey cruises in 2014 (RV El Puma) and 2015 (RV Sonne) are refining the 2D and 3D seismic structure of the Guaymas Basin subsurface, and collect gravity cores for up-to-date microbial and geochemical analyses. We propose combined microbiological, geochemical and sedimentological analyses to investigate subseafloor life and its environments using sediment cores that we collected on the site survey cruise with RV El Puma in October 2014.
This project was funded by a C-DEBI Research Grant.";
    String projects_1_end_date "2016-03";
    String projects_1_geolocation "Guaymas Basin";
    String projects_1_name "Characterizing subseafloor life and environments in the Guaymas Basin";
    String projects_1_project_nid "661678";
    String projects_1_start_date "2015-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.20745;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Porewater Si concentrations from sediment cores P3, P6, P10, P11, P12, and P13, collected on the Guaymas Basin Ridge flanks and the Sonora Margin. Sediment cores were collected from R/V El Puma, the Pacific Coast research vessel of the Autonomous University of Mexico, leaving Guaymas on October 14, 2014, and heading to Mazatlan on October 27, 2014.";
    String time_coverage_end "2014-10-22";
    String time_coverage_start "2014-10-17";
    String title "[Guaymas Basin 2014 Si] - Porewater Si concentrations from sediment cores collected on the Guaymas Basin Ridge flanks and the Sonora Margin from R/V El Puma during October 2014 (RAPID proposal: Site characterization cruise to document the active and extensive subsurface biosphere in the Guaymas Basin)";
    String version "1";
    Float64 Westernmost_Easting -111.87617;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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
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.


 
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