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Dataset Title:  "Deepwater CTD - 93g0108.ctd.nc - 27.72N, -95.07W - 1993-01-13" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g0108_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: 511)
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   511 options
    temperature ?  =  degree_C   494 options
    salinity ?  =  PSU   431 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   12 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  1 option: 0.0

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
2.0 23.377399444580078 36.21160125732422 4.8470001220703125 0.05000000074505806 0.10000000149011612 0.029999999329447746 1.899999976158142 -99.0 0.0
3.0 23.3705997467041 36.21139907836914 4.877999782562256 0.05000000074505806 0.0 0.05999999865889549 1.7000000476837158 -99.0 0.0
4.0 23.360200881958008 36.211700439453125 4.855000019073486 0.05000000074505806 0.0 0.019999999552965164 1.399999976158142 -99.0 0.0
5.0 23.356700897216797 36.21110153198242 4.84499979019165 0.05000000074505806 0.0 0.019999999552965164 1.2999999523162842 -99.0 0.0
6.0 23.34869956970215 36.21160125732422 4.801000118255615 0.05999999865889549 0.10000000149011612 0.019999999552965164 1.0 -99.0 0.0
7.0 23.348899841308594 36.21160125732422 4.27400016784668 0.03999999910593033 1.2000000476837158 0.07999999821186066 0.8999999761581421 -99.0 0.0
8.0 23.348100662231445 36.21149826049805 3.5190000534057617 0.019999999552965164 5.800000190734863 0.2800000011920929 1.2999999523162842 -99.0 0.0
9.0 23.345600128173828 36.21179962158203 2.941999912261963 0.009999999776482582 12.300000190734863 0.6600000262260437 2.4000000953674316 -99.0 0.0
10.0 23.34980010986328 36.211700439453125 2.8269999027252197 0.009999999776482582 17.5 1.0199999809265137 4.599999904632568 -99.0 0.0
11.0 23.350000381469727 36.21149826049805 2.6389999389648438 0.019999999552965164 23.600000381469727 1.4700000286102295 8.399999618530273 -99.0 0.0
12.0 23.351299285888672 36.21160125732422 2.5829999446868896 0.009999999776482582 28.799999237060547 1.8700000047683716 13.300000190734863 -99.0 0.0
13.0 23.350900650024414 36.21160125732422 2.697000026702881 0.009999999776482582 30.899999618530273 2.059999942779541 17.299999237060547 -99.0 0.0
14.0 23.351900100708008 36.211700439453125 0.0
15.0 23.351999282836914 36.21149826049805 0.0
16.0 23.35219955444336 36.21149826049805 0.0
17.0 23.352800369262695 36.21149826049805 0.0
18.0 23.352399826049805 36.21149826049805 0.0
19.0 23.351200103759766 36.211700439453125 0.0
20.0 23.351200103759766 36.211700439453125 0.0
21.0 23.351699829101562 36.21179962158203 0.0
22.0 23.352699279785156 36.21149826049805 0.0
23.0 23.352399826049805 36.21189880371094 0.0
24.0 23.352699279785156 36.211700439453125 0.0
25.0 23.35300064086914 36.211700439453125 0.0
26.0 23.353300094604492 36.21189880371094 0.0
27.0 23.353599548339844 36.21179962158203 0.0
28.0 23.354000091552734 36.211700439453125 0.0
29.0 23.35219955444336 36.21189880371094 0.0
30.0 23.351600646972656 36.21189880371094 0.0
31.0 23.354400634765625 36.21179962158203 0.0
32.0 23.35460090637207 36.21189880371094 0.0
33.0 23.354999542236328 36.21179962158203 0.0
34.0 23.355600357055664 36.211700439453125 0.0
35.0 23.355499267578125 36.21189880371094 0.0
36.0 23.355600357055664 36.21189880371094 0.0
37.0 23.35580062866211 36.21189880371094 0.0
38.0 23.355899810791016 36.21179962158203 0.0
39.0 23.35610008239746 36.21179962158203 0.0
40.0 23.356199264526367 36.21200180053711 0.0
41.0 23.356300354003906 36.21189880371094 0.0
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44.0 23.356700897216797 36.21200180053711 0.0
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49.0 23.3572998046875 36.21179962158203 0.0
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54.0 23.358699798583984 36.212100982666016 0.0
55.0 23.358999252319336 36.21200180053711 0.0
56.0 23.35930061340332 36.21200180053711 0.0
57.0 23.358800888061523 36.21220016479492 0.0
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538.0 8.208700180053711 34.9995002746582 0.0
539.0 8.200900077819824 34.99850082397461 0.0

In total, there are 511 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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