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Dataset Title:  Porewater nutrient concentrations (NO3+NO2, NH4, and PO4) from pushcore
samples collected at Guaymas Basin hydrothermal vents via Alvin dives on RV/
Atlantis cruise AT42-05, Nov. 2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_773129)
Range: longitude = -111.4071 to -111.4044°E, latitude = 27.0078 to 27.0116°N
Information:  Summary ? | License ? | 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 {
  Date_local {
    String bcodmo_name "date_local";
    String description "sampling date - local time (UTC-07:00)";
    String long_name "Date Local";
    String source_name "Date_local";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Site {
    String bcodmo_name "site";
    String description "sampling site name";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 27.0078, 27.0116;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is positive";
    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 -111.4071, -111.4044;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Dive {
    Int16 _FillValue 32767;
    Int16 actual_range 4991, 5000;
    String bcodmo_name "dive_id";
    String description "Alvin dive number";
    String long_name "Dive";
    String units "unitless";
  }
  Sample_ID {
    String bcodmo_name "sample";
    String description "sample identifier";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  NO3_NO2_uM {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 482.0;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "nitrates and nitrites concentration from the push core pore water";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "micromoles/liter (uM)";
  }
  NH4_uM {
    Float32 _FillValue NaN;
    Float32 actual_range 4.93, 6607.0;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "ammonium concentration from the push core pore water";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles/liter (uM)";
  }
  PO4_uM {
    Float32 _FillValue NaN;
    Float32 actual_range 3.9, 56.0;
    String bcodmo_name "PO4";
    String description "phosphates concentration from the push core pore water";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromoles/liter (uM)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Alvin pushcores dedicated to nutrient analyses were sectioned to recover the
0-6cm, 6-12, and 12-18cm fractions, or the 0-10, 10-20, and 20-30cm fractions.
Two ~40ml samples of sediment were placed in 50 ml Falcon tubes and were
centrifuged at 3000 rpm for 15 minutes to separate porewater from the
sediment. After centrifugation, the porewater was filtered through sterile
syringe cellulose 0.45 micron filters. 5 ml of the porewater was placed into 5
ml screwcap Eppendorf cryotubes stored without headspace at -20 degrees C for
nitrate (NO3), nitrite (NO2) and phosphate (PO4) analysis. The headspace was
flushed with nitrogen and the samples were stored inverted at 4 degrees C.
 
All porewater analyses were performed at Louisiana State University Wetland
Biogeochemistry Analytical Services. Dilution info: All samples @ 2x and
various samples @ 20x , 50x , 70x , and/or 350x.";
    String awards_0_award_nid "770632";
    String awards_0_award_number "OCE-1829903";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1829903";
    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 
"Guaymas porewater nutrients: NO3+NO2, NH4, and PO4 
   Pushcore samples of hydrothermal vent sediments at different depths from RV/Atlantis cruise AT52-05, Nov. 2018 
   V. Edgcomb, A. Teske (WHOI) 
   version date: 2019-07-15";
    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 "2019-07-15T19:40:22Z";
    String date_modified "2019-07-30T19:15:04Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.773129.1";
    Float64 Easternmost_Easting -111.4044;
    Float64 geospatial_lat_max 27.0116;
    Float64 geospatial_lat_min 27.0078;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.4044;
    Float64 geospatial_lon_min -111.4071;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-09T11:32:41Z (local files)
2020-08-09T11:32:41Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_773129.das";
    String infoUrl "https://www.bco-dmo.org/dataset/773129";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nutrient Autoanalyzer";
    String instruments_0_dataset_instrument_nid "773465";
    String instruments_0_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_0_instrument_name "Nutrient Autoanalyzer";
    String instruments_0_instrument_nid "558";
    String instruments_1_dataset_instrument_description "Used to collect sediment samples";
    String instruments_1_dataset_instrument_nid "773132";
    String instruments_1_description 
"Capable of being performed in numerous environments, push coring is just as it sounds. Push coring is simply pushing the core barrel (often an aluminum or polycarbonate tube) into the sediment by hand. A push core is useful in that it causes very little disturbance to the more delicate upper layers of a sub-aqueous sediment.

Description obtained from: http://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/";
    String instruments_1_instrument_name "Push Corer";
    String instruments_1_instrument_nid "628287";
    String keywords "ammonia, ammonium, bco, bco-dmo, biological, chemical, chemistry, concentration, data, dataset, date, dive, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, latitude, local, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, n02, nh4, NH4_uM, nitrate, no3, NO3_NO2_uM, ocean, oceanography, oceans, office, phosphate, po4, PO4_uM, preliminary, sample, Sample_ID, science, sea, seawater, site, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/773129/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/773129";
    Float64 Northernmost_Northing 27.0116;
    String param_mapping "{'773129': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/773129/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Virginia P. Edgcomb";
    String people_0_person_nid "51284";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of North Carolina at Chapel Hill";
    String people_1_affiliation_acronym "UNC-Chapel Hill";
    String people_1_person_name "Andreas P. Teske";
    String people_1_person_nid "51412";
    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 "HOTFUN";
    String projects_0_acronym "HOTFUN";
    String projects_0_description 
"NSF Award Abstract:
Fungi that can derive energy from chemicals, yet consume other organisms or organic material to obtain carbon have been reported from diverse marine subsurface samples, including from hundreds of meters below the seafloor. Evidence exists that Fungi are active in subsurface marine sediments globally, yet there is a dearth of knowledge on their role in the marine subsurface, and specifically on their role(s) in hydrocarbon degradation within deep-sea sediments. This team is isolating a broad collection of environmentally relevant filamentous Fungi and yeasts from hydrothermally-influenced and hydrocarbon-rich seep sediments of Guaymas Basin using high-throughput culture-based approaches. They aim to reveal the diversity of Fungi and Bacteria in these hydrothermal sediments, how temperature and hydrocarbon composition shape their distribution, and how Fungi cooperate to enhance the degradation of hydrocarbons by Bacteria. By hosting six undergraduates through the WHOI Summer Student Fellows program and the Woods Hole Partnership Education Program, the project contributes to increasing diversity in marine science by offering opportunities for promising undergraduates from disadvantaged populations. High school students are involved in summer projects and in intensive summer workshops. One postdoc, a graduate student, and two Research Associates are supported, and international collaborations are strengthened. The postdoc and graduate student are gaining valuable cruise-based experience. An e-lecture on Fungi and their role(s) in biodegradation of hydrocarbons will be made publicly available by the end of the project. Fungal isolates with accompanying information will be secured in a reference culture collection for long-term storage and are available to any interested researcher throughout the project.
The PIs are isolating a broad collection of environmentally relevant filamentous Fungi and yeasts from hydrothermally-influenced and hydrocarbon-rich seep sediments of Guaymas Basin using high-throughput culture-based approaches, with the aim to reveal their ability to degrade individual hydrocarbons under in situ pressures and temperatures. Culture independent methods marker gene analyses are used to characterize in situ fungal and bacterial diversity and to examine how temperature and hydrocarbon composition shape fungal community composition and distribution. Traditional and comprehensive two-dimensional gas chromatographic analyses are used to examine the complexities and subtle changes in inventories of hydrocarbons within sediment cores, and provide evidence for in situ microbial alteration of individual hydrocarbons. Incubation experiments are used to test the ability of fungal isolates to utilize different hydrocarbons as a sole or auxiliary carbon source under in situ pressures and temperatures and their ability to stimulate biodegradation of hydrocarbons by hydrocarbon-degrading bacteria. Expressed genes within these incubation studies tell us how Fungi and Bacteria couple metabolisms to increase overall specificity and extent of biodegradation of hydrocarbons.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.";
    String projects_0_end_date "2021-08";
    String projects_0_geolocation "Guaymas Basin, Gulf of CA, Mexico";
    String projects_0_name "Collaborative Research: Hydrothermal Fungi in the Guaymas Basin Hydrocarbon Ecosystem";
    String projects_0_project_nid "770633";
    String projects_0_start_date "2018-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.0078;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Porewater nutrient concentrations from pushcore samples collected at two locations in the Guaymas Basin hydrothermal vents region during Alvin dives on RV/Atlantis cruise AT42-05, Nov. 2018. NO3+NO2, NH4, and PO4 concentrations at different depths within the cores are reported.";
    String title "Porewater nutrient concentrations (NO3+NO2, NH4, and PO4) from pushcore samples collected at Guaymas Basin hydrothermal vents via Alvin dives on RV/Atlantis cruise AT42-05, Nov. 2018";
    String version "1";
    Float64 Westernmost_Easting -111.4071;
    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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