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

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  16S rRNA gene (from DNA) from samples collected on cruise Chikyu-331 in the
Okinawa Trough, Japan from September to October 2010
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_780926)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Cruise_ID (unitless) ?          "IODP 331"    "NaN"
 IODP_Sample_Number (unitless) ?          "C0014B-1H-1, 122.0..."    "Extraction Blank -..."
 latitude (degrees_north) ?          27.790278    27.794444
  < slider >
 longitude (degrees_east) ?          126.891667    126.900833
  < slider >
 Water_depth (meters) ?          886.0    1060.0
 Top_Depth (meters below seafloor) ?          0.23    44.51
 Bottom_Depth (meters below seafloor) ?          0.38    44.66
 Sediment_type (unitless) ?          "Clay"    "Silty clay"
 Estimated_Temp (degrees Celsius) ?          5.26    151.38
 MGRAST_Accession_ID (unitless) ?          "4633437.3"    "4633472.3"
 Notes (unitless) ?          "NaN"    "This sample is fro..."
 
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "Cruise ID number";
    String long_name "Cruise ID";
    String units "unitless";
  }
  IODP_Sample_Number {
    String bcodmo_name "sample";
    String description "IODP sample number";
    String long_name "IODP Sample Number";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 27.790278, 27.794444;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude; positive values = 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 126.891667, 126.900833;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude; positive values = East";
    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";
  }
  Water_depth {
    Float32 _FillValue NaN;
    Float32 actual_range 886.0, 1060.0;
    String bcodmo_name "depth_w";
    String description "Water depth";
    String long_name "Water Depth";
    String units "meters";
  }
  Top_Depth {
    Float32 _FillValue NaN;
    Float32 actual_range 0.23, 44.51;
    String bcodmo_name "depth_bsf";
    String description "Top depth";
    String long_name "Top Depth";
    String units "meters below seafloor";
  }
  Bottom_Depth {
    Float32 _FillValue NaN;
    Float32 actual_range 0.38, 44.66;
    String bcodmo_name "depth_bsf";
    String description "Bottom depth";
    String long_name "Bottom Depth";
    String units "meters below seafloor";
  }
  Sediment_type {
    String bcodmo_name "sample_descrip";
    String description "Sediment type";
    String long_name "Sediment Type";
    String units "unitless";
  }
  Estimated_Temp {
    Float32 _FillValue NaN;
    Float32 actual_range 5.26, 151.38;
    String bcodmo_name "temperature";
    String description "Estimated temperature; based on 3 degrees C/m";
    String long_name "Estimated Temp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  MGRAST_Accession_ID {
    String bcodmo_name "accession number";
    String description "MG-RAST accession ID number";
    String long_name "MGRAST Accession ID";
    String units "unitless";
  }
  Notes {
    String bcodmo_name "comment";
    String description "Notes";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Sampling of cores was done in accordance with IODP protocols.
 
All C0014 samples were cored on 16 September 2010 via via HPCS (hydraulic
piston coring system).  
 All C0015 samples were cored on 18 September 2010 via HPCS.  
 All C0017 samples were cored on 27 September 2010 via HPCS.
 
Core sections were kept frozen (-80\\u00b0C) until DNA extractions. A
MoBio\\u00ae Power Soil kit was used to extract environmental DNA. See
publication below for sequencing and analysis methodologies.";
    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 cdm_data_type "Other";
    String comment 
"16S rRNA gene (from DNA) 
  PI: Christopher House (PSU) 
  Version date: 05 November 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 "2019-11-05T21:19:38Z";
    String date_modified "2019-11-22T18:37:16Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.780926.1";
    Float64 Easternmost_Easting 126.900833;
    Float64 geospatial_lat_max 27.794444;
    Float64 geospatial_lat_min 27.790278;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 126.900833;
    Float64 geospatial_lon_min 126.891667;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-06T05:21:55Z (local files)
2020-07-06T05:21:55Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_780926.html";
    String infoUrl "https://www.bco-dmo.org/dataset/780926";
    String institution "BCO-DMO";
    String instruments_0_acronym "Piston Corer";
    String instruments_0_dataset_instrument_nid "782753";
    String instruments_0_description "The piston corer is a type of bottom sediment sampling device. A long, heavy tube is plunged into the seafloor to extract samples of mud sediment. A piston corer uses a \"free fall\" of the coring rig to achieve a greater initial force on impact than gravity coring.  A sliding piston inside the core barrel reduces inside wall friction with the sediment and helps to evacuate displaced water from the top of the corer. A piston corer is capable of extracting core samples up to 90 feet in length.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/51/";
    String instruments_0_instrument_name "Piston Corer";
    String instruments_0_instrument_nid "519";
    String instruments_0_supplied_name "hydraulic piston coring system (HPCS)";
    String keywords "accession, bco, bco-dmo, biological, bottom, Bottom_Depth, chemical, cruise, Cruise_ID, data, dataset, depth, dmo, erddap, estimated, Estimated_Temp, iodp, IODP_Sample_Number, latitude, longitude, management, mgrast, MGRAST_Accession_ID, notes, number, oceanography, office, preliminary, sample, sediment, Sediment_type, temperature, top, Top_Depth, type, water, Water_depth";
    String license "https://www.bco-dmo.org/dataset/780926/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/780926";
    Float64 Northernmost_Northing 27.794444;
    String param_mapping "{'780926': {'Latitude': 'master - latitude', 'Longitude': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/780926/parameters";
    String people_0_affiliation "Pennsylvania State University";
    String people_0_affiliation_acronym "PSU";
    String people_0_person_name "Christopher House";
    String people_0_person_nid "714235";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Pennsylvania State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Leah Brandt";
    String people_1_person_nid "782699";
    String people_1_role "Scientist";
    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 "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Subvent_Biosphere_Sediments";
    String projects_0_acronym "Subvent_Biosphere_Sediments";
    String projects_0_description 
"The Iheya North Hydrothermal Field in the Okinawa Backarc Basin represents an ideal environment in which to investigate the biotic temperature fringe of microbial life at depth because of its subsurface hydrothermal activity within its continental margin-type sediment profile. Geographically, the Okinawa Backarc Basin is situated along a continental margin, which is a sediment profile type commonly sampled and studied across the seafloor (e.g. Peru Margin, Costa Rica Margin, Cascadia Margin). The hydrothermal network within the subsurface here supplies an additional temperature obstacle to microbial life existing in the sediments. In particular, the sediment profile at Site C0014 exhibits a transition from hemipelagic ooze with pumiceous volcaniclastic sediments and low temperature (4�C) to a hydrothermally altered sequence of clays within the top ~10 mbsf of sediment. Temperature measurements indicate a gradient of approximately 3�C/m, which is roughly an order of magnitude greater than continental margin sites (e.g. Cascadia Margin, IODP 311 and Costa Rica Margin, IODP 344), but is more gradual than intense, centimeter-scale gradients from other hot, surface sediments. We have focused on the application of culture-independent, molecular methods to understand taxonomic and functional characteristics through this hydrothermal gradient. Confidence in DNA recovery suggests a microbial biosphere extent of approximately 15 mbsf (55�C).
Results from both 16S rRNA gene surveys and metagenomics analyses suggest a temperature-dependent stratigraphy of taxonomic and functional adaptations between the shallowest and deepest sample horizons. Cosmopolitan marine subsurface bacterial and archaeal taxa are present throughout the top 10 mbsf, whereas, hyperthermophilic heterotrophic as well as thermophilic anaerobic methanotrophic archaea appear in varying local abundances in deeper, hydrothermal clay horizons. \"An In-Depth analysis of the subvent biosphere within Okinawa Backarc Basin (IODP 331, Iheya North Hydrothermal Field) sediments\" encompasses datasets funded through C-DEBI to investigate the microbial communities in IODP 331 Iheya North Hydrothermal Field sediments. Site C0014 at this field site is 500 m away from the active vent and experiences a 3C/m temperature gradient with depth. In the research grant \"Investigating the active microbial populations in near hydrothermal vent sediments\" and the Research Exchange grant \"Learning new RNA extraction techniques\", we used an RNA-based approach to explore the active microbial community. Upon analysis, the RNA dataset does not appear to reflect the same information as the phylogenetic signals coming from both the 16S rRNA gene as well as the metagenomes. The data indicate significant background noise from the RNA extraction process rather than from an indigenous representation of the subsurface biosphere.
The graduate fellowship \"An in-depth analysis of the subvent biosphere within the Okinawa backarc basin Iheya North hydrothermal field\" provided an opportunity to bring together metagenomic, 16S rRNA gene amplicon (DNA), and 16S rRNA amplicon datasets from IODP 331 Iheya North Hydrothermal Field sediments to understand the biogeography of this subvent biosphere.
For more information, refer to the following C-DEBI grants/projects.
An in-depth analysis of the subvent biosphere within the Okinawa backarc basin Iheya North hydrothermal field:https://www.darkenergybiosphere.org/award/an-in-depth-analysis-of-the-subvent-biosphere-within-the-okinawa-backarc-basin-iheya-north-hydrothermal-field/
Investigating the active microbial populations in near hydrothermal vent sediments:�https://www.darkenergybiosphere.org/award/investigating-the-active-microbial-populations-in-near-hydrothermal-vent-sediments/
Learn new RNA extraction techniques:�https://www.darkenergybiosphere.org/award/learn-new-rna-extraction-techniques/
�";
    String projects_0_end_date "2016-05";
    String projects_0_geolocation "Iheya North Hydrothermal Field, Pacific Ocean";
    String projects_0_name "An In-Depth analysis of the subvent biosphere within Okinawa Backarc Basin (IODP 331, Iheya North Hydrothermal Field) sediments";
    String projects_0_project_nid "714230";
    String projects_0_start_date "2014-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.790278;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The purpose of this dataset was to investigate taxonomic changes via the 16S rRNA gene from extractable DNA across 45 meters of recovered core. The temperature gradient in this section of the dynamic Iheya North Hydrothermal system was estimated to be ~3C/m. The interval transitions sharply from low-temperature marine mud to hydrothermally altered clay.";
    String title "16S rRNA gene (from DNA) from samples collected on cruise Chikyu-331 in the Okinawa Trough, Japan from September to October 2010";
    String version "1";
    Float64 Westernmost_Easting 126.891667;
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact