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Dataset Title:  "Deepwater CTD - 94g0816.ctd.nc - 28.25N, -89.75W - 1994-10-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0816_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: 575)
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   575 options
    temperature ?  =  degree_C   569 options
    salinity ?  =  PSU   541 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols per liter   10 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
1.0 27.25819969177246 36.05569839477539 5.1579999923706055 0.0 0.4000000059604645 0.05999999865889549 2.0 -99.0 0.0
2.0 27.25659942626953 36.05590057373047 5.122000217437744 0.009999999776482582 0.20000000298023224 0.05999999865889549 1.7000000476837158 -99.0 0.0
3.0 27.25860023498535 36.05590057373047 3.5759999752044678 0.019999999552965164 8.100000381469727 0.4099999964237213 2.799999952316284 -99.0 0.0
4.0 27.256200790405273 36.05619812011719 3.303999900817871 0.019999999552965164 14.100000381469727 0.7400000095367432 5.199999809265137 -99.0 0.0
5.0 27.257299423217773 36.05580139160156 3.138000011444092 0.009999999776482582 18.299999237060547 1.0 7.199999809265137 -99.0 0.0
6.0 27.25819969177246 36.05580139160156 3.3320000171661377 0.009999999776482582 20.200000762939453 1.149999976158142 8.699999809265137 -99.0 0.0
7.0 27.25749969482422 36.05590057373047 3.061000108718872 0.009999999776482582 23.700000762939453 1.3799999952316284 11.199999809265137 -99.0 0.0
8.0 27.257600784301758 36.05590057373047 2.9609999656677246 0.009999999776482582 26.799999237060547 1.5800000429153442 13.5 -99.0 0.0
9.0 27.2593994140625 36.05619812011719 2.9140000343322754 0.0 28.600000381469727 1.7000000476837158 15.699999809265137 -99.0 0.0
10.0 27.24880027770996 36.0609016418457 2.9200000762939453 0.009999999776482582 29.5 1.7999999523162842 17.600000381469727 -99.0 0.0
11.0 27.25149917602539 36.05780029296875 2.9170000553131104 0.009999999776482582 29.799999237060547 1.7999999523162842 18.299999237060547 -99.0 0.0
12.0 27.253599166870117 36.05739974975586 0.0
13.0 27.24250030517578 36.0619010925293 0.0
14.0 27.219999313354492 36.06700134277344 0.0
15.0 27.22100067138672 36.06769943237305 0.0
16.0 27.225400924682617 36.07109832763672 0.0
17.0 27.22800064086914 36.07270050048828 0.0
18.0 27.227800369262695 36.07350158691406 0.0
19.0 27.226299285888672 36.07339859008789 0.0
20.0 27.225200653076172 36.073299407958984 0.0
21.0 27.223600387573242 36.07350158691406 0.0
22.0 27.221399307250977 36.07360076904297 0.0
23.0 27.218799591064453 36.07360076904297 0.0
24.0 27.215499877929688 36.073299407958984 0.0
25.0 27.214799880981445 36.07320022583008 0.0
26.0 27.21470069885254 36.07379913330078 0.0
27.0 27.21339988708496 36.073699951171875 0.0
28.0 27.212099075317383 36.07360076904297 0.0
29.0 27.211000442504883 36.07360076904297 0.0
30.0 27.20949935913086 36.07350158691406 0.0
31.0 27.2106990814209 36.073299407958984 0.0
32.0 27.20789909362793 36.07339859008789 0.0
33.0 27.20549964904785 36.07350158691406 0.0
34.0 27.203699111938477 36.07350158691406 0.0
35.0 27.202199935913086 36.07350158691406 0.0
36.0 27.2007999420166 36.073699951171875 0.0
37.0 27.19890022277832 36.07389831542969 0.0
38.0 27.193500518798828 36.075401306152344 0.0
39.0 27.19420051574707 36.08100128173828 0.0
40.0 27.164100646972656 36.07979965209961 0.0
41.0 27.087200164794922 36.08300018310547 0.0
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54.0 23.70800018310547 36.320701599121094 0.0
55.0 23.518299102783203 36.33140182495117 0.0
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575.0 8.53909969329834 35.02399826049805 0.0

In total, there are 575 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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