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Dataset Title:  Drill site locations from MPSV GREATSHIP MANISHA IODP-347 cruise in the Baltic
Sea in 2013 (IODP-347 Microbial Quantification project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_641342)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Site (text) ?              
 Date (unitless) ?          20130913    20131030
 latitude (degrees_north) ?          55.00475    62.95596
  < slider >
 longitude (degrees_east) ?          9.800483    18.254467
  < slider >
 depth (m) ?          23.1    437.1
  < slider >
 
Server-side Functions ?
 distinct() ?
? (" ")

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 {
  Site {
    String description "Site";
    String ioos_category "Unknown";
    String long_name "Site";
    String units "text";
  }
  Date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20130913, 20131030;
    String description "Date in�YYYYMMDD format";
    String ioos_category "Time";
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 55.00475, 62.95596;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude (South is negative)";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 9.800483, 18.254467;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude (West is negative)";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 23.1, 437.1;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Water Depth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Data for sites downloaded from:
[http://iodp.pangaea.de/front_content.php?idcat=587](\\\\\"http://iodp.pangaea.de/front_content.php?idcat=587\\\\\")";
    String awards_0_award_nid "639416";
    String awards_0_award_number "OCE-1431598";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1431598";
    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 "Dr Thomas Janecek";
    String awards_0_program_manager_nid "511697";
    String cdm_data_type "Other";
    String comment 
"IODP-347 Sites 
  PIs: Lloyd, Steen 
  Version: 24 March 2016";
    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 2.2d  13 Jun 2019";
    String date_created "2016-03-24T19:52:13Z";
    String date_modified "2017-04-05T20:44:57Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.664687";
    Float64 Easternmost_Easting 18.254467;
    Float64 geospatial_lat_max 62.95596;
    Float64 geospatial_lat_min 55.00475;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 18.254467;
    Float64 geospatial_lon_min 9.800483;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 437.1;
    Float64 geospatial_vertical_min 23.1;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-06-25T01:45:11Z (local files)
2019-06-25T01:45:11Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_641342.html";
    String infoUrl "https://www.bco-dmo.org/dataset/641342";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, depth, dmo, erddap, latitude, longitude, management, oceanography, office, preliminary, site, time";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/641342";
    Float64 Northernmost_Northing 62.95596;
    String param_mapping "{'641342': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/641342/parameters";
    String people_0_affiliation "University of Tennessee Knoxville";
    String people_0_affiliation_acronym "UTK";
    String people_0_person_name "Dr Karen G. Lloyd";
    String people_0_person_nid "639420";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Tennessee Knoxville";
    String people_1_affiliation_acronym "UTK";
    String people_1_person_name "Dr Andrew Steen";
    String people_1_person_nid "554160";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Tennessee Knoxville";
    String people_2_affiliation_acronym "UTK";
    String people_2_person_name "Dr Karen G. Lloyd";
    String people_2_person_nid "639420";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Stephen R. Gegg";
    String people_3_person_nid "50910";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Quantifying the contribution of the deep biosphere in the marine sediment carbon cycle using deep-sea sediment cores from the Baltic Sea";
    String projects_0_acronym "IODP-347 Microbial Quantification";
    String projects_0_description 
"Marine sediments contain a microbial population large enough to rival that of Earth's oceans, but much about this vast community is unknown. Innovations in total cell counting methods have refined estimates of cell concentrations, but tell us nothing about specific taxa. Isotopic data provides evidence that a majority of subsurface microorganisms survive by breaking down organic matter, yet measurable links between specific microbial taxa and their organic matter substrates are untested. The proposed work overcomes these limitations, with a particular focus on the degradation of proteins and carbohydrates, which comprise the bulk of classifiable sedimentary organic matter. The project will link specific taxa to potential extracellular enzyme activity in the genomes of single microbial cells, apply newly-identified, optimal methods for counting viable cells belonging to specific taxa using catalyzed reporter deposition fluorescent in situ hybridization (CARD-FISH), and measure the potential activity of their enzymes in situ. The resulting data will provide key evidence about the strategies subsurface life uses to overcome extreme energy limitation and contribute to the long-term carbon cycle.
The Principal Investigators are employing novel,improved methods to quantify cells of specific taxa in the marine subsurface and to determine the biogeochemical functions of those uncultured taxa, including:
1) Determine the pathway of organic carbon degradation in single cell genomes of uncultured, numerically dominant subsurface microorganisms.
2) Quantify viable bacteria and archaea in the deep subsurface using an improvement on the existing technology of CARD-FISH.
3 )Measure the potential activities (Vmax values) of enzymes in deep Baltic Sea sediments, and use the abundances of enzyme-producing microorganisms to calculate depth profiles of cell-specific Vmax values.
The project combines these methods in order to identify and quantify the cells capable of degrading organic matter in deep sediments of the Baltic Sea, obtained from Integrated Ocean Drilling Program (IODP) expedition 347. These results will greatly expand our knowledge of the function and activity of uncultured microorganisms in the deep subsurface.
This project is associated with C-DEBI account number 157595.";
    String projects_0_end_date "2016-08";
    String projects_0_geolocation "Baltic Sea";
    String projects_0_name "Quantifying the contribution of the deep biosphere in the marine sediment carbon cycle using deep-sea sediment cores from the Baltic Sea";
    String projects_0_project_nid "639417";
    String projects_0_start_date "2014-09";
    String publisher_name "Stephen R. Gegg";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 55.00475;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"IODP-347 Drill Sites
 
Data for sites downloaded from:
[http://iodp.pangaea.de/front_content.php?idcat=587](\\\\http://iodp.pangaea.de/front_content.php?idcat=587\\\\)
 
Note: Drill site locations used for deployment locations table
 
[IODP-347 Expedition
Summary](\\\\http://dmoserv3.whoi.edu/data_docs/IODP_347/Expedition_347_101_Summary.pdf\\\\)";
    String title "Drill site locations from MPSV GREATSHIP MANISHA IODP-347 cruise in the Baltic Sea in 2013 (IODP-347 Microbial Quantification project)";
    String version "1";
    Float64 Westernmost_Easting 9.800483;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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