Measured Parameter
in minute slices (for contour curtain images)
Platforms
Animation
attribute vec3 position; attribute vec2 texcoord; uniform mat4 modelViewProjectionMatrix; varying vec2 fragTexCoord; void main() { vec2 pos = sign(position.xy); fragTexCoord = texcoord; gl_Position = vec4((pos.x/2.0)-0.5, pos.y, 0.0, 1.0); // gl_Position = vec4((pos.x - 1.0) / 2.0, pos.y, 0.0, 1.0); //gl_Position = vec4(pos.xy / 4.0 + vec2(-0.75,0.75), 0.0, 1.0); } #ifdef GL_ES precision highp float; #endif uniform sampler2D tex; uniform float leftEye; varying vec2 fragTexCoord; void main() { gl_FragColor = texture2D(tex, fragTexCoord); } attribute vec3 position; attribute vec2 texcoord; uniform mat4 modelViewProjectionMatrix; varying vec2 fragTexCoord; void main() { vec2 pos = sign(position.xy); fragTexCoord = texcoord; gl_Position = vec4((pos.x + 1.0) / 2.0, pos.y, 0.0, 1.0); }

Parameter-Parameter

Linear regression Free range Samples No stride

                                    
Rotate: Left mouse
Translate: Ctrl + left mouse
Zoom: Alt + left mouse

                                    
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

                                                

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.
mp-kml  Keyhole Markup Language - click on icon to view in Google Earth

                                    
                                
mp-sql  Structured Query Language for PostgreSQL

                                        
                                    
                                
mp-matlab  Matlab - Load data into Matlab structure array

                                            
                                        
                                    
                                
mp-json  JavaScript Object Notation

                                            
                                        
                                    
                                
mp-csv  Comma Separated Values

                                            
                                        
                                    
                                
mp-tsv  Tabbed Separated Values

                                            
                                        
                                    
                                
mp-html  Hyper Text Markup Language table

                                            
                                        
                                    
                                

Temporal

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Color by: Platform Activity

Measured Parameters

Plot Data Filter & Select for data access
Lines Color
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Parameter Values

Show distribution of parameter values
Histogram display:

Platforms