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Dataset Title:  "Deepwater CTD - 03300533.ctd.nc - 25.17N, -92.0W - 1987-04-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03300533_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: 1482)
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   1482 options
    temperature ?  =  degree_C   1222 options
    salinity ?  =  PSU   417 options
    oxygen ?  =  milliliters per liter   1185 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 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 micromols micromols micromols PSU
3.0 22.26799964904785 36.487998962402344 5.235599994659424 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
4.0 22.24799919128418 36.487998962402344 5.19890022277832 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
5.0 22.238000869750977 36.487998962402344 5.198200225830078 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 22.238000869750977 36.487998962402344 5.220200061798096 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
7.0 22.238000869750977 36.487998962402344 5.2230000495910645 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
8.0 22.238000869750977 36.4900016784668 5.157400131225586 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
9.0 22.236000061035156 36.4900016784668 5.213699817657471 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
10.0 22.236000061035156 36.487998962402344 5.242499828338623 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
11.0 22.238000869750977 36.487998962402344 5.242199897766113 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
12.0 22.242000579833984 36.4900016784668 5.267899990081787 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
13.0 22.242000579833984 36.4900016784668 5.2895002365112305 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
14.0 22.239999771118164 36.4900016784668 5.3028998374938965 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
15.0 22.239999771118164 36.4900016784668 5.272600173950195 0.0
16.0 22.242000579833984 36.487998962402344 5.260700225830078 0.0
17.0 22.242000579833984 36.487998962402344 5.254499912261963 0.0
18.0 22.243999481201172 36.4900016784668 5.278299808502197 0.0
19.0 22.243999481201172 36.4900016784668 5.270999908447266 0.0
20.0 22.243999481201172 36.4900016784668 5.267399787902832 0.0
21.0 22.243999481201172 36.4900016784668 5.273799896240234 0.0
22.0 22.243999481201172 36.4900016784668 5.243100166320801 0.0
23.0 22.239999771118164 36.487998962402344 5.25629997253418 0.0
24.0 22.235000610351562 36.487998962402344 5.270299911499023 0.0
25.0 22.238000869750977 36.4900016784668 5.278299808502197 0.0
26.0 22.235000610351562 36.487998962402344 5.276100158691406 0.0
27.0 22.231000900268555 36.487998962402344 5.3125 0.0
28.0 22.229000091552734 36.487998962402344 5.321800231933594 0.0
29.0 22.229000091552734 36.487998962402344 5.3333001136779785 0.0
30.0 22.229000091552734 36.487998962402344 5.353000164031982 0.0
31.0 22.229000091552734 36.487998962402344 5.353000164031982 0.0
32.0 22.229000091552734 36.487998962402344 5.338699817657471 0.0
33.0 22.226999282836914 36.487998962402344 5.349400043487549 0.0
34.0 22.226999282836914 36.487998962402344 5.3649001121521 0.0
35.0 22.226999282836914 36.487998962402344 5.366099834442139 0.0
36.0 22.225000381469727 36.487998962402344 5.358099937438965 0.0
37.0 22.222999572753906 36.487998962402344 5.370999813079834 0.0
38.0 22.225000381469727 36.487998962402344 5.345900058746338 0.0
39.0 22.218000411987305 36.486000061035156 5.360599994659424 0.0
40.0 22.209999084472656 36.486000061035156 5.334000110626221 0.0
41.0 22.209999084472656 36.487998962402344 5.341800212860107 0.0
42.0 22.209999084472656 36.487998962402344 5.280099868774414 0.0
43.0 22.209999084472656 36.487998962402344 5.287700176239014 0.0
44.0 22.209999084472656 36.487998962402344 5.296000003814697 0.0
45.0 22.20800018310547 36.487998962402344 5.281700134277344 0.0
46.0 22.207000732421875 36.487998962402344 5.260200023651123 0.0
47.0 22.207000732421875 36.487998962402344 5.258399963378906 0.0
48.0 22.207000732421875 36.487998962402344 5.194900035858154 0.0
49.0 22.207000732421875 36.487998962402344 5.192500114440918 0.0
50.0 22.207000732421875 36.487998962402344 5.188399791717529 0.0
51.0 22.207000732421875 36.487998962402344 5.118199825286865 0.0
52.0 22.207000732421875 36.487998962402344 5.113500118255615 0.0
53.0 22.207000732421875 36.487998962402344 5.0696001052856445 0.0
54.0 22.207000732421875 36.486000061035156 5.021100044250488 0.0
55.0 22.207000732421875 36.486000061035156 4.995699882507324 0.0
56.0 22.207000732421875 36.487998962402344 4.987800121307373 0.0
57.0 22.207000732421875 36.487998962402344 4.962299823760986 0.0
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70.0 22.209999084472656 36.487998962402344 4.111100196838379 0.0
71.0 22.209999084472656 36.487998962402344 4.05079984664917 0.0
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81.0 22.211999893188477 36.487998962402344 3.4677000045776367 0.0
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984.0 5.2270002365112305 34.92300033569336 5.441400051116943 0.0
985.0 5.224999904632568 34.92300033569336 5.445300102233887 0.0
986.0 5.2230000495910645 34.92300033569336 5.438799858093262 0.0
987.0 5.2210001945495605 34.92300033569336 5.439499855041504 0.0
988.0 5.2179999351501465 34.92300033569336 5.447500228881836 0.0
989.0 5.216000080108643 34.92300033569336 5.442999839782715 0.0
990.0 5.210999965667725 34.92300033569336 5.446300029754639 0.0
991.0 5.204999923706055 34.92300033569336 5.446599960327148 0.0
992.0 5.201000213623047 34.92499923706055 5.444200038909912 1.0
993.0 5.198999881744385 34.92499923706055 5.4456000328063965 1.0
994.0 5.198999881744385 34.92499923706055 5.446499824523926 1.0
995.0 5.197999954223633 34.92499923706055 5.449699878692627 1.0
996.0 5.198999881744385 34.92499923706055 5.451600074768066 1.0
997.0 5.193999767303467 34.92499923706055 5.456999778747559 1.0
998.0 5.190000057220459 34.92499923706055 5.451499938964844 1.0
999.0 5.190000057220459 34.92499923706055 5.449100017547607 1.0
1000.0 5.188000202178955 34.92300033569336 5.452600002288818 0.0
1001.0 5.184000015258789 34.92300033569336 5.464600086212158 0.0
1002.0 5.181000232696533 34.92300033569336 5.450399875640869 0.0

In total, there are 1482 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 482 rows aren't being shown.
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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