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Dataset Title:  [Tapajos River DOM] - Dissolved organic matter, water quality, water isotopes,
and discharge measurements of the Tapajós River, Brazil from 2016-2023 (RAPID:
El Nino Event Impacts on Organic Matter Export and Composition in the Amazon
River)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_986798_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Sample_Name (unitless) ?          "TA1"    "TA9"
 Date (unitless) ?          "Friday, August 31,..."    "Wednesday, Septemb..."
 Date_ISO (unitless) ?          "2016-01-28"    "2023-11-30"
 latitude (Lat_dd, degrees_north) ?          -4.3375    -4.3375
  < slider >
 longitude (Lon_dd, degrees_east) ?          -56.06953    -56.06953
  < slider >
 Discharge_on_sampling_day (cubic meters per second (m3 s-1)) ?          2527    28335
 Mean_monthly_discharge (cubic meters per second (m3 s-1)) ?          2973    27083
 Mean_daily_air_temp (degrees Celsius (degC)) ?          17.5    31.9
 Daily_precipitation (millimeters (mm)) ?          0.0    26.0
 Mean_monthly_air_temp (degrees Celsius (degC)) ?          23.5    30.9
 Monthly_precipitation (millimeters (mm)) ?          5.5    490.7
 DOC (milligrams per liter (mg L-1)) ?          0.9    9.2
 FI (unitless) ?          1.41    1.56
 a350 (per meter (m-1)) ?          1.33    15.88
 S275_to_295 (per nanometer (nm-1)) ?          0.0121    0.0359
 S350_to_400 (per nanometer (nm-1)) ?          0.0136    0.0205
 SUVA254 (liters per milligram carbon per meter (L mg C-1 m-1)) ?          1.93    4.66
 perc_CHO (percent (%)) ?          67.6    80.2
 perc_CHON (percent (%)) ?          16.5    28.3
 perc_CHOS (percent (%)) ?          2.1    8.0
 perc_CHONS (percent (%)) ?          0.2    1.4
 perc_CA (percent (%)) ?          1.5    8.6
 perc_PPh (percent (%)) ?          10.0    24.8
 low_OC_HUP_perc (percent (%)) ?          25.3    37.0
 high_OC_HUP_perc (percent (%)) ?          32.1    49.2
 high_OC_Ali_perc (percent (%)) ?          0.7    3.4
 low_OC_Ali_perc (percent (%)) ?          1.7    22.0
 Assigned_formulae (unitless) ?          15499    21747
 RMS_Error (unitless) ?          0.0466    0.0776
 Mass (daltons (Da)) ?          440.3827    564.0188
 H_to_C (unitless) ?          0.99    1.24
 O_to_C (unitless) ?          0.46    0.54
 N_to_C_x1000 (unitless) ?          11.3    21.7
 S_to_C_x1000 (unitless) ?          1.2    6.1
 AImod (unitless) ?          0.26    0.4
 DBE (unitless) ?          10.1    14.2
 DBE_C (unitless) ?          0.44    0.56
 NOSC (unitless) ?          -0.26    0.12
 perc_IOS (percent (%)) ?          14.1    22.6
 Water_temp (degrees Celsius (degC)) ?          26.9    32.8
 SpC (microSiemens per centimeter (uS cm-1)) ?          13.0    26.0
 O2sat (percent (%)) ?          "100.2"    "99.4"
 O2 (milligrams per liter (mg L-1)) ?          4.5    8.4
 pH (pH scale) ?          6.2    7.8
 FDOM (relative fluorescence units (RFU)) ?          1.13    12.43
 C1 (percent (%)) ?          20.2    55.6
 C2 (percent (%)) ?          6.5    20.8
 C3 (percent (%)) ?          3.5    13.4
 C4 (percent (%)) ?          8.4    25.8
 C5 (percent (%)) ?          0.0    59.6
 d2H (per mil (0/00)) ?          -42.5    -23.5
 d18O (per mil (0/00)) ?          -6.6    -4.0
 D_excess (per mil (0/00)) ?          6.3    12.1
 
Server-side Functions ?
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sample_Name {
    String long_name "Sample_name";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Date_ISO {
    String long_name "Date_iso";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -4.3375, -4.3375;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Lat_dd";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -56.06953, -56.06953;
    String axis "X";
    String ioos_category "Location";
    String long_name "Lon_dd";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Discharge_on_sampling_day {
    Int32 actual_range 2527, 28335;
    String long_name "Discharge_on_sampling_day";
    String units "cubic meters per second (m3 s-1)";
  }
  Mean_monthly_discharge {
    Int32 actual_range 2973, 27083;
    String long_name "Mean_monthly_discharge";
    String units "cubic meters per second (m3 s-1)";
  }
  Mean_daily_air_temp {
    Float32 actual_range 17.5, 31.9;
    String long_name "Mean_daily_air_temp";
    String units "degrees Celsius (degC)";
  }
  Daily_precipitation {
    Float32 actual_range 0.0, 26.0;
    String long_name "Daily_precipitation";
    String units "millimeters (mm)";
  }
  Mean_monthly_air_temp {
    Float32 actual_range 23.5, 30.9;
    String long_name "Mean_monthly_air_temp";
    String units "degrees Celsius (degC)";
  }
  Monthly_precipitation {
    Float32 actual_range 5.5, 490.7;
    String long_name "Monthly_precipitation";
    String units "millimeters (mm)";
  }
  DOC {
    Float32 actual_range 0.9, 9.2;
    String long_name "Doc";
    String units "milligrams per liter (mg L-1)";
  }
  FI {
    Float32 actual_range 1.41, 1.56;
    String long_name "Fi";
    String units "unitless";
  }
  a350 {
    Float32 actual_range 1.33, 15.88;
    String long_name "A350";
    String units "per meter (m-1)";
  }
  S275_to_295 {
    Float32 actual_range 0.0121, 0.0359;
    String long_name "S275_to_295";
    String units "per nanometer (nm-1)";
  }
  S350_to_400 {
    Float32 actual_range 0.0136, 0.0205;
    String long_name "S350_to_400";
    String units "per nanometer (nm-1)";
  }
  SUVA254 {
    Float32 actual_range 1.93, 4.66;
    String long_name "Suva254";
    String units "liters per milligram carbon per meter (L mg C-1 m-1)";
  }
  perc_CHO {
    Float32 actual_range 67.6, 80.2;
    String long_name "Perc_cho";
    String units "percent (%)";
  }
  perc_CHON {
    Float32 actual_range 16.5, 28.3;
    String long_name "Perc_chon";
    String units "percent (%)";
  }
  perc_CHOS {
    Float32 actual_range 2.1, 8.0;
    String long_name "Perc_chos";
    String units "percent (%)";
  }
  perc_CHONS {
    Float32 actual_range 0.2, 1.4;
    String long_name "Perc_chons";
    String units "percent (%)";
  }
  perc_CA {
    Float32 actual_range 1.5, 8.6;
    String long_name "Perc_ca";
    String units "percent (%)";
  }
  perc_PPh {
    Float32 actual_range 10.0, 24.8;
    String long_name "Perc_pph";
    String units "percent (%)";
  }
  low_OC_HUP_perc {
    Float32 actual_range 25.3, 37.0;
    String long_name "Low_oc_hup_perc";
    String units "percent (%)";
  }
  high_OC_HUP_perc {
    Float32 actual_range 32.1, 49.2;
    String long_name "High_oc_hup_perc";
    String units "percent (%)";
  }
  high_OC_Ali_perc {
    Float32 actual_range 0.7, 3.4;
    String long_name "High_oc_ali_perc";
    String units "percent (%)";
  }
  low_OC_Ali_perc {
    Float32 actual_range 1.7, 22.0;
    String long_name "Low_oc_ali_perc";
    String units "percent (%)";
  }
  Assigned_formulae {
    Int32 actual_range 15499, 21747;
    String long_name "Assigned_formulae";
    String units "unitless";
  }
  RMS_Error {
    Float32 actual_range 0.0466, 0.0776;
    String long_name "Rms_error";
    String units "unitless";
  }
  Mass {
    Float32 actual_range 440.3827, 564.0188;
    String long_name "Mass";
    String units "daltons (Da)";
  }
  H_to_C {
    Float32 actual_range 0.99, 1.24;
    String long_name "H_to_c";
    String units "unitless";
  }
  O_to_C {
    Float32 actual_range 0.46, 0.54;
    String long_name "O_to_c";
    String units "unitless";
  }
  N_to_C_x1000 {
    Float32 actual_range 11.3, 21.7;
    String long_name "N_to_c_x1000";
    String units "unitless";
  }
  S_to_C_x1000 {
    Float32 actual_range 1.2, 6.1;
    String long_name "S_to_c_x1000";
    String units "unitless";
  }
  AImod {
    Float32 actual_range 0.26, 0.4;
    String long_name "Aimod";
    String units "unitless";
  }
  DBE {
    Float32 actual_range 10.1, 14.2;
    String long_name "Dbe";
    String units "unitless";
  }
  DBE_C {
    Float32 actual_range 0.44, 0.56;
    String long_name "Dbe_c";
    String units "unitless";
  }
  NOSC {
    Float32 actual_range -0.26, 0.12;
    String long_name "Nosc";
    String units "unitless";
  }
  perc_IOS {
    Float32 actual_range 14.1, 22.6;
    String long_name "Perc_ios";
    String units "percent (%)";
  }
  Water_temp {
    Float32 actual_range 26.9, 32.8;
    String long_name "Water_temp";
    String units "degrees Celsius (degC)";
  }
  SpC {
    Float32 actual_range 13.0, 26.0;
    String long_name "Spc";
    String units "microSiemens per centimeter (uS cm-1)";
  }
  O2sat {
    String long_name "O2sat";
    String units "percent (%)";
  }
  O2 {
    Float32 actual_range 4.5, 8.4;
    String long_name "O2";
    String units "milligrams per liter (mg L-1)";
  }
  pH {
    Float32 actual_range 6.2, 7.8;
    String long_name "Ph";
    String units "pH scale";
  }
  FDOM {
    Float32 actual_range 1.13, 12.43;
    String long_name "Fdom";
    String units "relative fluorescence units (RFU)";
  }
  C1 {
    Float32 actual_range 20.2, 55.6;
    String long_name "C1";
    String units "percent (%)";
  }
  C2 {
    Float32 actual_range 6.5, 20.8;
    String long_name "C2";
    String units "percent (%)";
  }
  C3 {
    Float32 actual_range 3.5, 13.4;
    String long_name "C3";
    String units "percent (%)";
  }
  C4 {
    Float32 actual_range 8.4, 25.8;
    String long_name "C4";
    String units "percent (%)";
  }
  C5 {
    Float32 actual_range 0.0, 59.6;
    String long_name "C5";
    String units "percent (%)";
  }
  d2H {
    Float32 actual_range -42.5, -23.5;
    String long_name "D2h";
    String units "per mil (0/00)";
  }
  d18O {
    Float32 actual_range -6.6, -4.0;
    String long_name "D18o";
    String units "per mil (0/00)";
  }
  D_excess {
    Float32 actual_range 6.3, 12.1;
    String long_name "D_excess";
    String units "per mil (0/00)";
  }
 }
  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.986798.1";
    Float64 Easternmost_Easting -56.06953;
    Float64 geospatial_lat_max -4.3375;
    Float64 geospatial_lat_min -4.3375;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -56.06953;
    Float64 geospatial_lon_min -56.06953;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-02-13T18:21:18Z (local files)
2026-02-13T18:21:18Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986798_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986798";
    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 -4.3375;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -4.3375;
    String summary "This data includes near monthly measurements of discharge, water isotopes, water quality, and dissolved organic matter characteristics from the Tapajós River, Brazil between 2016-2023. Dissolved organic matter was characterized via dissolved organic carbon quantification, optical spectroscopy, fluorescence spectroscopy, parallel factor analysis modeling (PARAFAC), and Fourier transform-ion cyclotron resonance mass spectrometry. Pairing geochemical and molecular-level data reveal both seasonal and inter annual patterns of carbon export to the Amazon River system and processing within the river network.";
    String title "[Tapajos River DOM] - Dissolved organic matter, water quality, water isotopes, and discharge measurements of the Tapajós River, Brazil from 2016-2023 (RAPID: El Nino Event Impacts on Organic Matter Export and Composition in the Amazon River)";
    Float64 Westernmost_Easting -56.06953;
  }
}

 

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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