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Dataset Title:  "Deepwater CTD - 03260512.ctd.nc - 25.5N, -84.37W - 1979-03-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260512_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: 87)
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   87 options
    temperature ?  =  degree_C   77 options
    salinity ?  =  PSU   70 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 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 micromols micromols micromols PSU
0.0 23.393999099731445 36.32699966430664 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.393999099731445 36.32699966430664 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.399999618530273 36.32699966430664 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.402999877929688 36.32500076293945 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.402999877929688 36.32400131225586 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.405000686645508 36.32500076293945 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.4060001373291 36.32500076293945 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.405000686645508 36.32600021362305 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.402999877929688 36.32600021362305 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.402000427246094 36.32500076293945 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.402999877929688 36.32500076293945 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.402000427246094 36.327999114990234 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.38800048828125 36.33000183105469 0.0
26.0 23.36400032043457 36.33599853515625 0.0
28.0 23.304000854492188 36.34600067138672 0.0
30.0 23.226999282836914 36.35599899291992 0.0
32.0 23.06800079345703 36.36600112915039 0.0
34.0 22.891000747680664 36.37799835205078 0.0
36.0 22.71299934387207 36.402000427246094 0.0
38.0 22.55699920654297 36.43600082397461 0.0
40.0 22.499000549316406 36.483001708984375 0.0
42.0 22.43000030517578 36.54800033569336 0.0
44.0 22.284000396728516 36.5890007019043 0.0
46.0 22.104000091552734 36.58100128173828 0.0
48.0 21.88800048828125 36.573001861572266 0.0
50.0 21.735000610351562 36.564998626708984 0.0
52.0 21.614999771118164 36.566001892089844 0.0
54.0 21.290000915527344 36.53799819946289 0.0
56.0 20.908000946044922 36.49700164794922 0.0
58.0 20.743999481201172 36.4739990234375 0.0
60.0 20.641000747680664 36.465999603271484 0.0
62.0 20.527000427246094 36.45600128173828 0.0
64.0 20.39699935913086 36.444000244140625 0.0
66.0 20.31999969482422 36.43899917602539 0.0
68.0 20.24799919128418 36.43899917602539 0.0
70.0 20.20400047302246 36.43899917602539 0.0
72.0 20.134000778198242 36.43299865722656 0.0
74.0 20.031999588012695 36.41600036621094 0.0
76.0 19.90399932861328 36.387001037597656 0.0
78.0 19.784000396728516 36.36600112915039 0.0
80.0 19.625 36.340999603271484 0.0
82.0 19.454999923706055 36.30699920654297 0.0
84.0 19.277999877929688 36.277000427246094 0.0
86.0 19.204999923706055 36.266998291015625 0.0
88.0 19.165000915527344 36.268001556396484 0.0
90.0 19.14900016784668 36.27000045776367 0.0
92.0 19.136999130249023 36.275001525878906 0.0
94.0 19.115999221801758 36.27799987792969 0.0
96.0 19.099000930786133 36.28200149536133 0.0
98.0 19.093000411987305 36.28799819946289 0.0
100.0 19.09000015258789 36.29399871826172 0.0
102.0 19.091999053955078 36.29899978637695 0.0
104.0 19.0939998626709 36.303001403808594 0.0
106.0 19.0939998626709 36.30799865722656 0.0
108.0 19.091999053955078 36.31100082397461 0.0
110.0 19.089000701904297 36.3129997253418 0.0
112.0 19.08300018310547 36.31700134277344 0.0
114.0 19.076000213623047 36.319000244140625 0.0
116.0 19.065000534057617 36.32400131225586 0.0
118.0 19.054000854492188 36.327999114990234 0.0
120.0 19.038000106811523 36.332000732421875 0.0
122.0 19.02400016784668 36.334999084472656 0.0
124.0 19.016000747680664 36.3390007019043 0.0
126.0 19.014999389648438 36.34600067138672 0.0
128.0 19.016000747680664 36.35300064086914 0.0
130.0 19.020000457763672 36.362998962402344 0.0
132.0 19.009000778198242 36.388999938964844 0.0
134.0 18.981000900268555 36.415000915527344 0.0
136.0 18.951000213623047 36.448001861572266 0.0
138.0 18.937999725341797 36.47700119018555 0.0
140.0 18.97800064086914 36.52000045776367 0.0
142.0 19.007999420166016 36.558998107910156 0.0
144.0 19.016000747680664 36.58399963378906 0.0
146.0 18.98900032043457 36.584999084472656 0.0
148.0 18.959999084472656 36.582000732421875 0.0
150.0 18.947999954223633 36.582000732421875 0.0
152.0 18.94300079345703 36.58100128173828 0.0
154.0 18.933000564575195 36.577999114990234 0.0
156.0 18.884000778198242 36.569000244140625 0.0
158.0 18.77199935913086 36.55699920654297 0.0
160.0 18.586999893188477 36.53099822998047 0.0
162.0 18.32699966430664 36.49300003051758 0.0
164.0 18.113000869750977 36.45600128173828 0.0
166.0 18.000999450683594 36.44900131225586 0.0
168.0 17.9060001373291 36.44200134277344 0.0
170.0 17.83300018310547 36.43299865722656 0.0
172.0 17.763999938964844 36.426998138427734 0.0

In total, there are 87 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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