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Dataset Title:  "Deepwater CTD - 03252336.ctd.nc - 29.04N, -87.97W - 1977-07-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03252336_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: 500)
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   500 options
    temperature ?  =  degree_C   492 options
    salinity ?  =  PSU   268 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 ?  =  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
0.0 29.277000427246094 35.89799880981445 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 29.2810001373291 35.89799880981445 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 29.266000747680664 35.891998291015625 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 29.207000732421875 35.88999938964844 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 29.145000457763672 35.88999938964844 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 29.13800048828125 35.88999938964844 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 29.128000259399414 35.89500045776367 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 29.124000549316406 36.01300048828125 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 29.15999984741211 36.10499954223633 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 29.17300033569336 36.16699981689453 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 29.03499984741211 36.32899856567383 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 28.63800048828125 36.380001068115234 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 28.298999786376953 36.37799835205078 0.0
26.0 28.010000228881836 36.36600112915039 0.0
28.0 27.73900032043457 36.375999450683594 0.0
30.0 27.354000091552734 36.367000579833984 0.0
32.0 27.1560001373291 36.395999908447266 0.0
34.0 27.049999237060547 36.36600112915039 0.0
36.0 26.840999603271484 36.3489990234375 0.0
38.0 26.555999755859375 36.250999450683594 0.0
40.0 25.777000427246094 36.207000732421875 0.0
42.0 25.288000106811523 36.32600021362305 0.0
44.0 25.070999145507812 36.36399841308594 0.0
46.0 24.97800064086914 36.375 0.0
48.0 24.89299964904785 36.380001068115234 0.0
50.0 24.763999938964844 36.402000427246094 0.0
52.0 24.665000915527344 36.404998779296875 0.0
54.0 24.516000747680664 36.41999816894531 0.0
56.0 24.384000778198242 36.43000030517578 0.0
58.0 24.243000030517578 36.426998138427734 0.0
60.0 23.993000030517578 36.415000915527344 0.0
62.0 23.83099937438965 36.409000396728516 0.0
64.0 23.711999893188477 36.404998779296875 0.0
66.0 23.643999099731445 36.400001525878906 0.0
68.0 23.48699951171875 36.40800094604492 0.0
70.0 23.322999954223633 36.402000427246094 0.0
72.0 23.118999481201172 36.39899826049805 0.0
74.0 22.700000762939453 36.39400100708008 0.0
76.0 22.402000427246094 36.39799880981445 0.0
78.0 22.285999298095703 36.41299819946289 0.0
80.0 22.075000762939453 36.404998779296875 0.0
82.0 21.975000381469727 36.42300033569336 0.0
84.0 21.66699981689453 36.422000885009766 0.0
86.0 21.64699935913086 36.4109992980957 0.0
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102.0 20.277999877929688 36.347999572753906 0.0
104.0 20.04800033569336 36.35200119018555 0.0
106.0 20.011999130249023 36.35499954223633 0.0
108.0 19.968000411987305 36.36000061035156 0.0
110.0 19.927000045776367 36.356998443603516 0.0
112.0 19.878999710083008 36.356998443603516 0.0
114.0 19.82699966430664 36.36600112915039 0.0
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850.0 5.3460001945495605 34.900001525878906 0.0
852.0 5.334000110626221 34.89899826049805 0.0
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860.0 5.313000202178955 34.9010009765625 0.0
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924.0 5.073999881744385 34.904998779296875 0.0
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930.0 5.057000160217285 34.90700149536133 0.0
932.0 5.053999900817871 34.90700149536133 0.0
934.0 5.052000045776367 34.90800094604492 0.0
936.0 5.051000118255615 34.90800094604492 0.0
938.0 5.046000003814697 34.90800094604492 0.0
940.0 5.039999961853027 34.90800094604492 0.0
942.0 5.0370001792907715 34.90800094604492 0.0
944.0 5.0320000648498535 34.90800094604492 0.0
946.0 5.03000020980835 34.909000396728516 0.0
948.0 5.0269999504089355 34.90800094604492 0.0
950.0 5.01800012588501 34.909000396728516 0.0
952.0 5.002999782562256 34.909000396728516 0.0
954.0 5.0 34.909000396728516 0.0
956.0 4.988999843597412 34.90999984741211 0.0
958.0 4.9770002365112305 34.909000396728516 0.0
960.0 4.964000225067139 34.909000396728516 0.0
962.0 4.951000213623047 34.90999984741211 0.0
964.0 4.948999881744385 34.909000396728516 0.0
966.0 4.941999912261963 34.909000396728516 0.0
968.0 4.942999839782715 34.90800094604492 0.0
970.0 4.941999912261963 34.90800094604492 0.0
972.0 4.934000015258789 34.90800094604492 0.0
974.0 4.935999870300293 34.90800094604492 0.0
976.0 4.932000160217285 34.90800094604492 0.0
978.0 4.932000160217285 34.90800094604492 0.0
980.0 4.922999858856201 34.909000396728516 0.0
982.0 4.921000003814697 34.90700149536133 0.0
984.0 4.920000076293945 34.909000396728516 0.0
986.0 4.916999816894531 34.90800094604492 0.0
988.0 4.915999889373779 34.90999984741211 0.0
990.0 4.9070000648498535 34.90999984741211 0.0
992.0 4.901000022888184 34.9109992980957 0.0
994.0 4.89300012588501 34.91299819946289 0.0
996.0 4.890999794006348 34.91299819946289 0.0
998.0 4.886000156402588 34.90999984741211 0.0
1000.0 4.874000072479248 34.9109992980957 0.0

In total, there are 500 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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