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Parameter-Parameter

Linear regression Free range Samples No stride

                                    
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mp-parquet  Apache Parquet binary column format
Collect: standard_name(s) name(s)
Include: Activity names
Estimated Available
RAM (GB) ... ...
Time (min) ... ...
Rows ...
File size (MB) ...
 
 
Click "Estimate requirements" button before using this Data Access URL
https://stoqs.mbari.org/stoqs_february2012/api/measuredparameter.parquet?collect=standard_name

In addition to using the above ad hoc .parquet request generation capability you may also script up requests by activity__name, inherently reducing server-side memory and time requirements. Here is an example of reading Dorado data survey-by-survey into a Matlab session:
% File: read_parquet.m
% Read parquet files from STOQS and report the time it takes
campaign_url = "https://stoqs.mbari.org/stoqs_all_dorado";
api_call = "/api/measuredparameter.parquet?collect=name&activity__name__contains=";
surveys = ["Dorado389_2020_006_06_006_06_decim", "Dorado389_2020_035_00_035_00_decim"];
wo = weboptions('CertificateFilename', '', 'Timeout', 300);
for i=1:length(surveys),
    tic;
    disp(strcat("Reading ", surveys(i), " as .parquet"));
    parquet_url = strcat(campaign_url, api_call, surveys(i));
    file = websave(strcat(surveys(i), '.parquet'), parquet_url, wo);
    disp(strcat("Wrote ", file));
    toc;
    tic;
    info = parquetinfo(file);
    T = parquetread(file);
    disp(strcat("Read ", file));
    toc;
end
disp(info.VariableNames)

—————————————————

>> read_parquet
Reading Dorado389_2020_006_06_006_06_decim as .parquet
Wrote /u/mccann/matlab/Dorado389_2020_006_06_006_06_decim.parquet
Elapsed time is 14.278701 seconds.
Read /u/mccann/matlab/Dorado389_2020_006_06_006_06_decim.parquet
Elapsed time is 0.410685 seconds.
Reading Dorado389_2020_035_00_035_00_decim as .parquet
Wrote /u/mccann/matlab/Dorado389_2020_035_00_035_00_decim.parquet
Elapsed time is 14.070438 seconds.
Read /u/mccann/matlab/Dorado389_2020_035_00_035_00_decim.parquet
Elapsed time is 0.097718 seconds.
    Columns 1 through 11

    "adinos"    "altitude"    "bbp420 (m-1)"    "bbp700 (m-1)"    "bg_biolum (ph L^..."    "biolume"    "diatoms"    "fl700_uncorr"    "fluo"    "hdinos"    "intflash (ph s^{..."

    Columns 12 through 19

    "mepCountList (co..."    "nbflash_high (L^..."    "nbflash_low (L^{..."    "nitrate (micromo..."    "oxygen (ml/l)"    "pitch (degree)"    "profile"    "roll (degree)"

    Columns 20 through 30

    "salinity"    "sepCountList (co..."    "sigmat"    "spice"    "temperature (Cel..."    "yaw (degree)"    "platform"    "timevalue"    "depth"    "latitude"    "longitude"
                                                    
Here is visualize_parquet.ipynb which shows how to read and visualize parquet data in Python.
Here is parquet2csv.py which you can execute at the command line to convert parquet data to a comma separated value file.
mp-kml  Keyhole Markup Language - click on icon to view in Google Earth
Select a single measured parameter for data access to view your selection in Google Earth
KML colormap

                                    
                                
mp-sql  Structured Query Language for PostgreSQL

                                        
                                    
                                
mp-matlab  Matlab - Load data into Matlab structure array
Install this m-file on your system (instructions are in the comments):
https://raw.githubusercontent.com/stoqs/stoqs/master/stoqs/contrib/analysis/dbconn_jdbc_stoqs.m

Then use the 'SQL' in the adjacent tab to load data into Matlab.
mp-json  JavaScript Object Notation
https://stoqs.mbari.org/stoqs_february2012/api/measuredparameter.json
mp-csv  Comma Separated Values
https://stoqs.mbari.org/stoqs_february2012/api/measuredparameter.csv
mp-tsv  Tabbed Separated Values
https://stoqs.mbari.org/stoqs_february2012/api/measuredparameter.tsv
mp-html  Hyper Text Markup Language table
https://stoqs.mbari.org/stoqs_february2012/api/measuredparameter.html

Temporal

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Feb 5
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Feb 13
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Time (gmt)
Depth (m)
   
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Measured Parameters

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Parameter Values

Show distribution of parameter values
Histogram display:

Platforms