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Dataset Title:  "Deepwater CTD - 03252389.ctd.nc - 28.98N, -87.97W - 1977-07-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03252389_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: 495)
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   495 options
    temperature ?  =  degree_C   489 options
    salinity ?  =  PSU   257 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
6.0 29.44499969482422 35.9630012512207 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
8.0 29.382999420166016 35.9640007019043 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
10.0 29.336000442504883 35.986000061035156 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
12.0 29.323999404907227 35.99599838256836 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
14.0 29.277999877929688 36.0099983215332 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
16.0 29.2450008392334 36.01900100708008 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
18.0 29.2189998626709 36.02899932861328 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
20.0 29.163000106811523 36.04199981689453 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
22.0 29.093000411987305 36.07899856567383 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
24.0 29.097999572753906 36.095001220703125 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
26.0 29.106000900268555 36.10900115966797 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
28.0 29.14900016784668 36.14099884033203 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
30.0 29.165000915527344 36.21200180053711 0.0
32.0 29.025999069213867 36.27899932861328 0.0
34.0 28.851999282836914 36.308998107910156 0.0
36.0 28.55500030517578 36.323001861572266 0.0
38.0 28.02899932861328 36.32699966430664 0.0
40.0 27.701000213623047 36.31100082397461 0.0
42.0 27.386999130249023 36.284000396728516 0.0
44.0 26.768999099731445 36.279998779296875 0.0
46.0 26.374000549316406 36.310001373291016 0.0
48.0 26.04599952697754 36.323001861572266 0.0
50.0 25.878000259399414 36.308998107910156 0.0
52.0 25.634000778198242 36.236000061035156 0.0
54.0 25.136999130249023 36.145999908447266 0.0
56.0 24.57699966430664 36.106998443603516 0.0
58.0 24.190000534057617 36.15599822998047 0.0
60.0 23.93600082397461 36.22200012207031 0.0
62.0 23.767000198364258 36.242000579833984 0.0
64.0 23.636999130249023 36.249000549316406 0.0
66.0 23.53499984741211 36.27199935913086 0.0
68.0 23.44099998474121 36.29499816894531 0.0
70.0 23.18199920654297 36.2599983215332 0.0
72.0 22.94499969482422 36.26499938964844 0.0
74.0 22.843000411987305 36.277000427246094 0.0
76.0 22.75 36.297000885009766 0.0
78.0 22.652999877929688 36.31700134277344 0.0
80.0 22.548999786376953 36.32500076293945 0.0
82.0 22.298999786376953 36.323001861572266 0.0
84.0 22.048999786376953 36.30799865722656 0.0
86.0 21.856000900268555 36.321998596191406 0.0
88.0 21.62700080871582 36.31800079345703 0.0
90.0 21.450000762939453 36.3120002746582 0.0
92.0 21.32699966430664 36.316001892089844 0.0
94.0 21.200000762939453 36.319000244140625 0.0
96.0 21.104000091552734 36.32099914550781 0.0
98.0 20.974000930786133 36.32500076293945 0.0
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102.0 20.55299949645996 36.32899856567383 0.0
104.0 20.430999755859375 36.3390007019043 0.0
106.0 20.378000259399414 36.34299850463867 0.0
108.0 20.30699920654297 36.34400177001953 0.0
110.0 20.20599937438965 36.34700012207031 0.0
112.0 20.136999130249023 36.34700012207031 0.0
114.0 20.054000854492188 36.349998474121094 0.0
116.0 19.952999114990234 36.35100173950195 0.0
118.0 19.847000122070312 36.35300064086914 0.0
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122.0 19.742000579833984 36.35599899291992 0.0
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128.0 19.52899932861328 36.35900115966797 0.0
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132.0 19.34600067138672 36.354000091552734 0.0
134.0 19.253000259399414 36.35499954223633 0.0
136.0 19.16900062561035 36.35599899291992 0.0
138.0 19.010000228881836 36.35200119018555 0.0
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142.0 18.709999084472656 36.349998474121094 0.0
144.0 18.625 36.349998474121094 0.0
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210.0 15.109000205993652 35.986000061035156 0.0
212.0 14.925000190734863 35.957000732421875 0.0
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268.0 12.887999534606934 35.632999420166016 0.0
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274.0 12.680000305175781 35.59700012207031 0.0
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304.0 11.697999954223633 35.45100021362305 0.0
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312.0 11.26200008392334 35.37900161743164 0.0
314.0 11.166999816894531 35.36199951171875 0.0
316.0 11.02400016784668 35.3380012512207 0.0
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846.0 5.269000053405762 34.90800094604492 0.0
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922.0 5.044000148773193 34.91699981689453 0.0
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936.0 4.986000061035156 34.926998138427734 0.0
938.0 4.978000164031982 34.93199920654297 0.0
940.0 4.974999904632568 34.930999755859375 0.0
942.0 4.9710001945495605 34.926998138427734 0.0
944.0 4.964000225067139 34.926998138427734 0.0
946.0 4.954999923706055 34.92499923706055 0.0
948.0 4.943999767303467 34.92599868774414 0.0
950.0 4.942999839782715 34.92599868774414 0.0
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954.0 4.928999900817871 34.92599868774414 0.0
956.0 4.925000190734863 34.926998138427734 0.0
958.0 4.921000003814697 34.928001403808594 0.0
960.0 4.916999816894531 34.93000030517578 0.0
962.0 4.916999816894531 34.926998138427734 0.0
964.0 4.914000034332275 34.928001403808594 0.0
966.0 4.9120001792907715 34.926998138427734 0.0
968.0 4.909999847412109 34.93000030517578 0.0
970.0 4.895999908447266 34.92900085449219 0.0
972.0 4.892000198364258 34.92900085449219 0.0
974.0 4.881999969482422 34.92900085449219 0.0
976.0 4.880000114440918 34.930999755859375 0.0
978.0 4.875 34.930999755859375 0.0
980.0 4.869999885559082 34.93199920654297 0.0
982.0 4.873000144958496 34.93299865722656 0.0
984.0 4.863999843597412 34.93199920654297 0.0
986.0 4.859000205993652 34.93299865722656 0.0
988.0 4.855999946594238 34.9379997253418 0.0
990.0 4.849999904632568 34.944000244140625 1.0
992.0 4.8470001220703125 34.946998596191406 1.0
994.0 4.8420000076293945 34.94599914550781 1.0

In total, there are 495 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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