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Dataset Title:  "Deepwater CTD - 03260945.ctd.nc - 27.66N, -85.54W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260945_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: 513)
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   513 options
    temperature ?  =  degree_C   507 options
    salinity ?  =  PSU   288 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 23.216999053955078 36.38100051879883 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.216999053955078 36.38100051879883 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.214000701904297 36.4010009765625 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.21500015258789 36.409000396728516 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.214000701904297 36.40999984741211 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.21299934387207 36.40999984741211 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.211000442504883 36.4109992980957 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.211000442504883 36.40999984741211 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.21299934387207 36.4109992980957 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.211999893188477 36.4119987487793 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.211000442504883 36.4109992980957 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.20800018310547 36.4109992980957 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.202999114990234 36.4119987487793 0.0
26.0 23.191999435424805 36.40999984741211 0.0
28.0 23.165000915527344 36.41400146484375 0.0
30.0 23.052000045776367 36.404998779296875 0.0
32.0 22.9060001373291 36.38199996948242 0.0
34.0 22.81100082397461 36.374000549316406 0.0
36.0 22.714000701904297 36.38399887084961 0.0
38.0 22.466999053955078 36.42300033569336 0.0
40.0 21.9950008392334 36.452999114990234 0.0
42.0 21.468000411987305 36.46799850463867 0.0
44.0 21.042999267578125 36.433998107910156 0.0
46.0 20.8439998626709 36.422000885009766 0.0
48.0 20.700000762939453 36.415000915527344 0.0
50.0 20.625 36.42300033569336 0.0
52.0 20.489999771118164 36.41600036621094 0.0
54.0 20.34600067138672 36.404998779296875 0.0
56.0 20.235000610351562 36.39799880981445 0.0
58.0 20.108999252319336 36.391998291015625 0.0
60.0 19.834999084472656 36.35900115966797 0.0
62.0 19.634000778198242 36.31399917602539 0.0
64.0 19.468000411987305 36.29100036621094 0.0
66.0 19.26799964904785 36.255001068115234 0.0
68.0 19.180999755859375 36.24100112915039 0.0
70.0 19.117000579833984 36.233001708984375 0.0
72.0 19.086000442504883 36.24100112915039 0.0
74.0 19.066999435424805 36.24800109863281 0.0
76.0 19.055999755859375 36.250999450683594 0.0
78.0 19.0049991607666 36.25 0.0
80.0 18.940000534057617 36.24599838256836 0.0
82.0 18.860000610351562 36.236000061035156 0.0
84.0 18.770999908447266 36.215999603271484 0.0
86.0 18.68000030517578 36.20899963378906 0.0
88.0 18.594999313354492 36.21500015258789 0.0
90.0 18.5 36.202999114990234 0.0
92.0 18.43600082397461 36.17599868774414 0.0
94.0 18.507999420166016 36.21500015258789 0.0
96.0 18.551000595092773 36.275001525878906 0.0
98.0 18.4060001373291 36.24700164794922 0.0
100.0 18.235000610351562 36.20800018310547 0.0
102.0 18.179000854492188 36.20000076293945 0.0
104.0 18.134000778198242 36.202999114990234 0.0
106.0 18.10099983215332 36.207000732421875 0.0
108.0 18.084999084472656 36.21200180053711 0.0
110.0 18.08300018310547 36.229000091552734 0.0
112.0 18.062999725341797 36.25299835205078 0.0
114.0 17.972000122070312 36.24100112915039 0.0
116.0 18.00200080871582 36.26900100708008 0.0
118.0 18.045000076293945 36.30500030517578 0.0
120.0 18.0 36.30500030517578 0.0
122.0 17.92099952697754 36.29800033569336 0.0
124.0 17.834999084472656 36.28799819946289 0.0
126.0 17.760000228881836 36.279998779296875 0.0
128.0 17.69499969482422 36.27399826049805 0.0
130.0 17.625999450683594 36.26100158691406 0.0
132.0 17.525999069213867 36.23899841308594 0.0
134.0 17.448999404907227 36.22100067138672 0.0
136.0 17.423999786376953 36.209999084472656 0.0
138.0 17.437999725341797 36.21900177001953 0.0
140.0 17.457000732421875 36.23899841308594 0.0
142.0 17.465999603271484 36.257999420166016 0.0
144.0 17.452999114990234 36.279998779296875 0.0
146.0 17.44700050354004 36.28200149536133 0.0
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160.0 17.124000549316406 36.314998626708984 0.0
162.0 17.062999725341797 36.31100082397461 0.0
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168.0 16.791000366210938 36.27199935913086 0.0
170.0 16.70599937438965 36.262001037597656 0.0
172.0 16.621000289916992 36.2599983215332 1.0
174.0 16.5310001373291 36.249000549316406 1.0
176.0 16.45599937438965 36.23099899291992 1.0
178.0 16.402000427246094 36.21699905395508 0.0
180.0 16.347000122070312 36.21799850463867 1.0
182.0 16.274999618530273 36.21699905395508 1.0
184.0 16.18600082397461 36.198001861572266 1.0
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192.0 15.902999877929688 36.14799880981445 1.0
194.0 15.847000122070312 36.143001556396484 1.0
196.0 15.78600025177002 36.138999938964844 1.0
198.0 15.718000411987305 36.125 1.0
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202.0 15.562999725341797 36.11199951171875 1.0
204.0 15.496000289916992 36.08399963378906 1.0
206.0 15.437000274658203 36.090999603271484 1.0
208.0 15.340999603271484 36.082000732421875 1.0
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212.0 15.135000228881836 36.01900100708008 1.0
214.0 15.027999877929688 36.00299835205078 1.0
216.0 14.920999526977539 35.98500061035156 1.0
218.0 14.842000007629395 35.96099853515625 0.0
220.0 14.784000396728516 35.95199966430664 0.0
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228.0 14.47700023651123 35.90299987792969 0.0
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246.0 14.008000373840332 35.82899856567383 1.0
248.0 13.960000038146973 35.823001861572266 1.0
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252.0 13.847000122070312 35.790000915527344 0.0
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258.0 13.706999778747559 35.770999908447266 0.0
260.0 13.663999557495117 35.75899887084961 0.0
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268.0 13.513999938964844 35.72600173950195 0.0
270.0 13.47700023651123 35.72200012207031 0.0
272.0 13.411999702453613 35.71799850463867 0.0
274.0 13.335000038146973 35.709999084472656 0.0
276.0 13.229999542236328 35.69300079345703 0.0
278.0 13.164999961853027 35.672000885009766 0.0
280.0 13.125 35.66299819946289 0.0
282.0 13.074000358581543 35.65700149536133 0.0
284.0 12.996999740600586 35.650001525878906 0.0
286.0 12.930999755859375 35.637001037597656 0.0
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302.0 12.54699993133545 35.57699966430664 0.0
304.0 12.473999977111816 35.566001892089844 0.0
306.0 12.416000366210938 35.55400085449219 0.0
308.0 12.369999885559082 35.54199981689453 0.0
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316.0 12.190999984741211 35.516998291015625 0.0
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966.0 5.409999847412109 34.90700149536133 0.0
968.0 5.401000022888184 34.90800094604492 0.0
970.0 5.394000053405762 34.909000396728516 0.0
972.0 5.388999938964844 34.909000396728516 0.0
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976.0 5.38100004196167 34.909000396728516 0.0
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984.0 5.36899995803833 34.90999984741211 0.0
986.0 5.366000175476074 34.9109992980957 0.0
988.0 5.363999843597412 34.9109992980957 0.0
990.0 5.361999988555908 34.9109992980957 0.0
992.0 5.360000133514404 34.9109992980957 0.0
994.0 5.359000205993652 34.9109992980957 0.0
996.0 5.357999801635742 34.90999984741211 0.0
998.0 5.354000091552734 34.90999984741211 0.0
1000.0 5.348999977111816 34.9109992980957 0.0
1002.0 5.3429999351501465 34.9119987487793 0.0
1004.0 5.339000225067139 34.9119987487793 0.0
1006.0 5.334000110626221 34.9119987487793 0.0
1008.0 5.328000068664551 34.91299819946289 0.0
1010.0 5.323999881744385 34.91400146484375 0.0
1012.0 5.322000026702881 34.9119987487793 0.0
1014.0 5.320000171661377 34.91299819946289 0.0
1016.0 5.316999912261963 34.91400146484375 0.0
1018.0 5.314000129699707 34.91400146484375 0.0
1020.0 5.310999870300293 34.91299819946289 0.0
1022.0 5.301000118255615 34.91600036621094 0.0
1024.0 5.285999774932861 34.91699981689453 0.0

In total, there are 513 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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