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Dataset Title:  [Polysaccharide hydrolysis rates from Arctic fjord Kongsfjorden April 2018] -
Measurement of polysaccharide hydrolysis rates from water samples collected
from the Arctic fjord Kongsfjorden near Ny-Ålesund, Svalbard, during April
2018 (A mechanistic microbial underpinning for the size-reactivity continuum of
dissolved organic carbon degradation)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_1000862_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 deployment (unitless) ?          "Svalbard2018"    "Svalbard2018"
 Station (unitless) ?          "F"    "Tb"
 latitude (degrees_north) ?          78.916    78.982
  < slider >
 longitude (degrees_east) ?          11.75    12.267
  < slider >
 date (unitless) ?          "2018-04-19"    "2018-04-24"
 depth_sequence (unitless) ?          1    2
 depth (Depth_actual, m) ?          1.5    170.0
  < slider >
 in_situ_Temp (degrees Celsius (°C)) ?          -0.61    0.92
 in_situ_Sal (ppt) ?          34.598    34.811
 in_situ_chl (Fluorescence units) ?          -0.068    0.839
 sample_type (unitless) ?          "BULK"    "GF"
 Incubation_temp (degrees Celsius (°C)) ?          1    1
 unamended_amended (unitless) ?          "U"    "U"
 Sub_sample_day (Days) ?          3    23
 substrate (unitless) ?          "ara"    "xyl"
 rate_1 (nanomoles per liter per hour (nmol L-1 hr-1)) ?          0.0    6.2
 rate_2 (nanomoles per liter per hour (nmol L-1 hr-1)) ?          0.0    6.7
 rate_3 (nanomoles per liter per hour (nmol L-1 hr-1)) ?          0.0    6.6
 avg_rate (nanomoles per liter per hour (nmol L-1 hr-1)) ?          0.0    6.5
 sd_rate (nanomoles per liter per hour (nmol L-1 hr-1)) ?          0.0    3.3
 
Server-side Functions ?
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File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  deployment {
    String long_name "Deployment";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 78.916, 78.982;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 11.75, 12.267;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  date {
    String long_name "Date";
    String units "unitless";
  }
  depth_sequence {
    Int32 actual_range 1, 2;
    String long_name "Depth_sequence";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 1.5, 170.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_actual";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  in_situ_Temp {
    Float32 actual_range -0.61, 0.92;
    String long_name "In_situ_temp";
    String units "degrees Celsius (°C)";
  }
  in_situ_Sal {
    Float32 actual_range 34.598, 34.811;
    String long_name "In_situ_sal";
    String units "ppt";
  }
  in_situ_chl {
    Float32 actual_range -0.068, 0.839;
    String long_name "In_situ_chl";
    String units "Fluorescence units";
  }
  sample_type {
    String long_name "Sample_type";
    String units "unitless";
  }
  Incubation_temp {
    Int32 actual_range 1, 1;
    String long_name "Incubation_temp";
    String units "degrees Celsius (°C)";
  }
  unamended_amended {
    String long_name "Unamended_amended";
    String units "unitless";
  }
  Sub_sample_day {
    Int32 actual_range 3, 23;
    String long_name "Sub_sample_day";
    String units "Days";
  }
  substrate {
    String long_name "Substrate";
    String units "unitless";
  }
  rate_1 {
    Float32 actual_range 0.0, 6.2;
    String long_name "Rate_1";
    String units "nanomoles per liter per hour (nmol L-1 hr-1)";
  }
  rate_2 {
    Float32 actual_range 0.0, 6.7;
    String long_name "Rate_2";
    String units "nanomoles per liter per hour (nmol L-1 hr-1)";
  }
  rate_3 {
    Float32 actual_range 0.0, 6.6;
    String long_name "Rate_3";
    String units "nanomoles per liter per hour (nmol L-1 hr-1)";
  }
  avg_rate {
    Float32 actual_range 0.0, 6.5;
    String long_name "Avg_rate";
    String units "nanomoles per liter per hour (nmol L-1 hr-1)";
  }
  sd_rate {
    Float32 actual_range 0.0, 3.3;
    String long_name "Sd_rate";
    String units "nanomoles per liter per hour (nmol L-1 hr-1)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.1000862.1";
    Float64 Easternmost_Easting 12.267;
    Float64 geospatial_lat_max 78.982;
    Float64 geospatial_lat_min 78.916;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.267;
    Float64 geospatial_lon_min 11.75;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 170.0;
    Float64 geospatial_vertical_min 1.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-07-23T08:08:01Z (local files)
2026-07-23T08:08:01Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000862_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1000862";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing 78.982;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.916;
    String summary 
"Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that high molecular weight (HMW) DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. Here we investigated the potential of seawater microbial communities from different water masses to hydrolyze six high-molecular-weight polysaccharides: arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan.

This dataset includes measurement of polysaccharide hydrolase activities obtained from seawater incubations. Seawater samples were collected at various stations and depths in Kongsfjorden, an Arctic fjord near Ny-Ålesund, Svalbard, in April 2018.";
    String title "[Polysaccharide hydrolysis rates from Arctic fjord Kongsfjorden April 2018] - Measurement of polysaccharide hydrolysis rates from water samples collected from the Arctic fjord Kongsfjorden near Ny-Ålesund, Svalbard, during April 2018 (A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation)";
    Float64 Westernmost_Easting 11.75;
  }
}

 

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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
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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
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For details, see the tabledap Documentation.


 
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