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Dataset Title:  "Deepwater CTD - 90g10107.ctd.nc - 28.54N, -89.82W - 1990-07-23" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10107_ctd)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 469)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    depth ?  =  m   469 options
    temperature ?  =  degree_C   469 options
    salinity ?  =  PSU   460 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols per liter   12 options
    silicate ?  =  micromols per liter   12 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

 


Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
3.0 29.347999572753906 29.93090057373047 4.676000118255615 0.019999999552965164 0.20000000298023224 0.009999999776482582 1.899999976158142 -99.0 0.0
4.0 29.257999420166016 30.71579933166504 4.15500020980835 0.41999998688697815 1.2000000476837158 0.11999999731779099 6.599999904632568 -99.0 0.0
5.0 29.248300552368164 30.933399200439453 3.5299999713897705 0.07999999821186066 5.199999809265137 0.36000001430511475 9.800000190734863 -99.0 0.0
6.0 29.189899444580078 32.155799865722656 3.438999891281128 0.05999999865889549 7.400000095367432 0.49000000953674316 8.5 -99.0 0.0
7.0 29.1781005859375 32.71379852294922 3.072000026702881 0.05000000074505806 10.399999618530273 0.6100000143051147 8.300000190734863 -99.0 0.0
8.0 29.132200241088867 33.22890090942383 2.9110000133514404 0.05000000074505806 12.899999618530273 0.7300000190734863 8.899999618530273 -99.0 0.0
9.0 29.122100830078125 33.45180130004883 2.9830000400543213 0.05999999865889549 16.700000762939453 0.9399999976158142 9.5 -99.0 0.0
10.0 29.129600524902344 33.60390090942383 2.9609999656677246 0.05999999865889549 16.899999618530273 0.9800000190734863 9.399999618530273 -99.0 0.0
11.0 29.14579963684082 33.71620178222656 2.734999895095825 0.07000000029802322 20.100000381469727 1.1399999856948853 10.600000381469727 -99.0 0.0
12.0 29.210599899291992 33.90610122680664 2.7179999351501465 0.10999999940395355 28.5 1.7300000190734863 18.799999237060547 -99.0 0.0
13.0 29.272899627685547 34.30070114135742 2.822000026702881 0.10999999940395355 30.399999618530273 1.840000033378601 21.899999618530273 -99.0 0.0
14.0 29.24810028076172 34.64339828491211 0.0
15.0 29.17340087890625 34.95869827270508 0.0
16.0 29.132299423217773 35.23830032348633 0.0
17.0 28.924699783325195 35.26219940185547 0.0
18.0 28.888999938964844 35.321998596191406 0.0
19.0 28.86709976196289 35.42210006713867 0.0
20.0 28.86840057373047 35.617801666259766 0.0
21.0 28.34630012512207 35.71379852294922 0.0
22.0 28.28569984436035 35.719200134277344 0.0
23.0 28.24920082092285 35.717098236083984 0.0
24.0 28.079299926757812 35.72869873046875 0.0
25.0 27.720500946044922 35.746498107910156 0.0
26.0 27.55069923400879 35.78089904785156 0.0
27.0 27.214500427246094 35.7400016784668 0.0
28.0 26.641599655151367 35.757999420166016 0.0
29.0 26.242900848388672 35.785701751708984 0.0
30.0 26.018199920654297 35.82899856567383 0.0
31.0 25.82360076904297 35.84349822998047 0.0
32.0 25.51799964904785 35.8828010559082 0.0
33.0 25.18400001525879 35.91699981689453 0.0
34.0 24.77739906311035 35.96440124511719 0.0
35.0 24.64739990234375 35.981201171875 0.0
36.0 24.288799285888672 36.01490020751953 0.0
37.0 24.111400604248047 36.03950119018555 0.0
38.0 23.946199417114258 36.06420135498047 0.0
39.0 23.82040023803711 36.06209945678711 0.0
40.0 23.621299743652344 36.05780029296875 0.0
41.0 23.37310028076172 36.07529830932617 0.0
42.0 23.226999282836914 36.07630157470703 0.0
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457.0 8.34160041809082 35.00419998168945 0.0
458.0 8.325599670410156 35.00310134887695 0.0
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461.0 8.26609992980957 34.9995002746582 0.0
462.0 8.257599830627441 34.99720001220703 0.0
463.0 8.225199699401855 34.992698669433594 0.0
464.0 8.209099769592285 34.993499755859375 0.0
465.0 8.198800086975098 34.9911003112793 0.0
466.0 8.157099723815918 34.985599517822266 0.0
467.0 8.14490032196045 34.985599517822266 0.0
468.0 8.129300117492676 34.98360061645508 0.0
469.0 8.109000205993652 34.981300354003906 0.0
470.0 8.090499877929688 34.9817008972168 0.0
471.0 8.080599784851074 34.97959899902344 0.0

In total, there are 469 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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