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Dataset Title:  Flow Cytometry : MAPIO Subscribe RSS
Institution:  MIO UMR 7294 CNRS   (Dataset ID: MAP_IO_5591_c48f_b2dc)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 Project ?          "MAP-IO"    "MAP-IO"
 Project_starting_Date (UTC) ?              
 Project_ending_Date (Project.ending.Date) ?          "Ongoing"    "Ongoing"
 PI ?          "Pierre Tulet/Melil..."    "Pierre Tulet/Melil..."
 Cytometer_ID (Cytometer.ID) ?          "CS-100-2020"    "CS-100-2020"
 Station ?          "NA"    "NA"
 depth (m) ?          6    6
  < slider >
 latitude (degrees_north) ?      
   - +  ?
  < slider >
 longitude (degrees_east) ?      
   - +  ?
  < slider >
 Study_area (Study.area) ?          "Souther Ocean/Indi..."    "Southern Ocean/Ind..."
 Samples_Operator (Samples.Operator) ?          "Lea Gest"    "Lea Gest/Lloys Izard"
 Standards_Reference (Standards.Reference) ?          "2 um PS Red"    "2 um PS Red"
 Clustering_Method (Clustering.Method) ?          "Manual"    "Manual"
 Observation_Type (Observation.Type) ?          "I situ"    "I situ"
 Platform_Type (Platform.Type) ?          "Scientific vessel"    "Scientific vessel"
 Platform_ID (Platform.ID) ?          "N/O Mario Dufresne"    "N/O Mario Dufresne"
 Platform_Nationality ?          "French"    "French"
 time (Sampling.Date.y, UTC) ?          2021-01-13T12:00:00Z    2022-03-05T02:00:00Z
  < slider >
 Analysis_Date (Analysis.Date) ?          "NA"    "NA"
 Standardized_name (Standardized.name) ?      
   - +  ?
 Selection_Set (Selection.Set) ?      
   - +  ?
 File ?          "MAP-IO-SCRATCH-FLR..."    "filename"
 Volume (Volume (ml)) ?          0.156    6.6761652757989
 Trigger_Channel (Trigger.Channel) ?          -999.99    -999.99
 Trigger_level (Trigger.level) ?          -999.99    -999.99
 SWS_amplification (SWS.amplification) ?          -999.99    -999.99
 FLO_amplification (FLO.amplification) ?          -999.99    -999.99
 FLR_amplification (FLR.amplification) ?          -999.99    -999.99
 Abundance (Abundance (cell/ml)) ?          0.0    999200.0
 Mean_Total_FWS (Mean.Total.FWS) ?          0.0    2.39E7
 SD_Total_FWS (SD.Total.FWS) ?          0.0    1.634E7
 Mean_Total_SWS (Mean.Total.SWS) ?          -999.99    -999.99
 SD_Total_SWS (SD.Total.SWS) ?          -999.99    -999.99
 Mean_Total_FLR (Mean.Total.FLR) ?          0.0    5728000.0
 SD_Total_FLR (SD.Total.FLR) ?          0.0    6234000.0
 Mean_Total_FLO (Mean.Total.FLO) ?          -999.99    -999.99
 SD_Total_FLO (SD.Total.FLO) ?          -999.99    -999.99
 
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 information)

(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 {
  Project {
    String ioos_category "Identifier";
    String long_name "Project";
  }
  Project_starting_Date {
    String ioos_category "Time";
    String long_name "Project.starting.Date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Project_ending_Date {
    String ioos_category "Unknown";
    String long_name "Project.ending.Date";
  }
  PI {
    String ioos_category "Identifier";
    String long_name "PI";
  }
  Cytometer_ID {
    String ioos_category "Unknown";
    String long_name "Cytometer.ID";
  }
  Station {
    String ioos_category "Identifier";
    String long_name "Station";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 6, 6;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -57.992, -10.6937;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 31.6856, 82.3845;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Study_area {
    String ioos_category "Unknown";
    String long_name "Study.area";
  }
  Samples_Operator {
    String ioos_category "Unknown";
    String long_name "Samples.Operator";
  }
  Standards_Reference {
    String ioos_category "Unknown";
    String long_name "Standards.Reference";
  }
  Clustering_Method {
    String ioos_category "Unknown";
    String long_name "Clustering.Method";
  }
  Observation_Type {
    String ioos_category "Unknown";
    String long_name "Observation.Type";
  }
  Platform_Type {
    String ioos_category "Unknown";
    String long_name "Platform.Type";
  }
  Platform_ID {
    String ioos_category "Unknown";
    String long_name "Platform.ID";
  }
  Platform_Nationality {
    String ioos_category "Unknown";
    String long_name "Platform.Nationality";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6105392e+9, 1.6464456e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Sampling.Date.y";
    String source_name "Sampling.Date.y";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Analysis_Date {
    String ioos_category "Unknown";
    String long_name "Analysis.Date";
  }
  Standardized_name {
    String ioos_category "Unknown";
    String long_name "Standardized.name";
  }
  Selection_Set {
    String ioos_category "Unknown";
    String long_name "Selection.Set";
  }
  File {
    String ioos_category "Unknown";
    String long_name "File";
  }
  Volume {
    Float64 _FillValue NaN;
    Float64 actual_range 0.156, 6.6761652757989;
    String ioos_category "Unknown";
    String long_name "Volume (ml)";
  }
  Trigger_Channel {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "Trigger.Channel";
  }
  Trigger_level {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "Trigger.level";
  }
  SWS_amplification {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "SWS.amplification";
  }
  FLO_amplification {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "FLO.amplification";
  }
  FLR_amplification {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "FLR.amplification";
  }
  Abundance {
    Float64 actual_range 0.0, 999200.0;
    String ioos_category "Unknown";
    String long_name "Abundance (cell/ml)";
  }
  Mean_Total_FWS {
    Float64 actual_range 0.0, 2.39e+7;
    String ioos_category "Unknown";
    String long_name "Mean.Total.FWS";
  }
  SD_Total_FWS {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1.634e+7;
    String ioos_category "Unknown";
    String long_name "SD.Total.FWS";
  }
  Mean_Total_SWS {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "Mean.Total.SWS";
  }
  SD_Total_SWS {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "SD.Total.SWS";
  }
  Mean_Total_FLR {
    Float64 actual_range 0.0, 5728000.0;
    String ioos_category "Unknown";
    String long_name "Mean.Total.FLR";
  }
  SD_Total_FLR {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 6234000.0;
    String ioos_category "Unknown";
    String long_name "SD.Total.FLR";
  }
  Mean_Total_FLO {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "Mean.Total.FLO";
  }
  SD_Total_FLO {
    Float32 actual_range -999.99, -999.99;
    String ioos_category "Unknown";
    String long_name "SD.Total.FLO";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "MIO UMR 7294 CNRS";
    String creator_type "institution";
    String creator_url "https://precym.mio.osupytheas.fr/";
    Float64 Easternmost_Easting 82.3845;
    String featureType "Point";
    Float64 geospatial_lat_max -10.6937;
    Float64 geospatial_lat_min -57.992;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 82.3845;
    Float64 geospatial_lon_min 31.6856;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 6.0;
    Float64 geospatial_vertical_min 6.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2023-06-10T08:24:18Z (local files)
2023-06-10T08:24:18Z http://erddap.osupytheas.fr/erddap/tabledap/MAP_IO_5591_c48f_b2dc.html";
    String infoUrl "https://precym.mio.osupytheas.fr/";
    String institution "MIO UMR 7294 CNRS";
    String keywords "abundance, analysis.date, Analysis_Date, cell, cell/ml, clustering.method, Clustering_Method, cnrs, cytometer.id, Cytometer_ID, cytometry, data, depth, file, flo.amplification, FLO_amplification, flow, flr.amplification, FLR_amplification, identifier, latitude, longitude, mapio, mean.total.flo, mean.total.flr, mean.total.fws, mean.total.sws, Mean_Total_FLO, Mean_Total_FLR, Mean_Total_FWS, Mean_Total_SWS, mio, observation.type, Observation_Type, platform.id, platform.nationality, platform.type, Platform_ID, Platform_Nationality, Platform_Type, project, project.ending.date, project.starting.date, Project_ending_Date, Project_starting_Date, samples.operator, Samples_Operator, sampling.date.y, sd.total.flo, sd.total.flr, sd.total.fws, sd.total.sws, SD_Total_FLO, SD_Total_FLR, SD_Total_FWS, SD_Total_SWS, selection.set, Selection_Set, standardized.name, Standardized_name, standards.reference, Standards_Reference, station, study.area, Study_area, sws.amplification, SWS_amplification, time, trigger.channel, trigger.level, Trigger_Channel, Trigger_level, umr, volume";
    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 -10.6937;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -57.992;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "latitude,longitude,Standardized_name,Selection_Set";
    String summary "The Cytosense automated flow cytometer from the cytobuoy compagny was installed onboard the Marion Dufresnes Sea Water supply, to run semi continuously samples for phytoplankton functional groups resolution.";
    String time_coverage_end "2022-03-05T02:00:00Z";
    String time_coverage_start "2021-01-13T12:00:00Z";
    String title "Flow Cytometry : MAPIO";
    Float64 Westernmost_Easting 31.6856;
  }
}

 

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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