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Dataset Title:  "Deepwater CTD - 03260941.ctd.nc - 27.66N, -85.53W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260941_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: 511)
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   511 options
    temperature ?  =  degree_C   496 options
    salinity ?  =  PSU   283 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 23.17099952697754 36.39799880981445 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.17099952697754 36.39799880981445 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.176000595092773 36.391998291015625 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.17799949645996 36.391998291015625 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.177000045776367 36.39500045776367 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.176000595092773 36.39699935913086 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.177000045776367 36.39699935913086 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.177000045776367 36.39500045776367 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.176000595092773 36.395999908447266 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.173999786376953 36.39699935913086 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.17300033569336 36.39699935913086 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.17300033569336 36.395999908447266 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.173999786376953 36.395999908447266 0.0
26.0 23.173999786376953 36.39699935913086 0.0
28.0 23.173999786376953 36.39799880981445 0.0
30.0 23.17099952697754 36.400001525878906 0.0
32.0 23.117000579833984 36.41600036621094 0.0
34.0 22.91699981689453 36.40999984741211 0.0
36.0 22.679000854492188 36.38199996948242 0.0
38.0 22.496000289916992 36.38800048828125 0.0
40.0 22.110000610351562 36.430999755859375 0.0
42.0 21.613000869750977 36.435001373291016 0.0
44.0 21.18600082397461 36.42399978637695 0.0
46.0 20.923999786376953 36.41999816894531 0.0
48.0 20.749000549316406 36.41600036621094 0.0
50.0 20.61400032043457 36.41999816894531 0.0
52.0 20.51300048828125 36.417999267578125 0.0
54.0 20.437000274658203 36.41699981689453 0.0
56.0 20.298999786376953 36.4119987487793 0.0
58.0 20.097000122070312 36.380001068115234 0.0
60.0 19.926000595092773 36.34199905395508 0.0
62.0 19.81100082397461 36.332000732421875 0.0
64.0 19.597999572753906 36.30799865722656 0.0
66.0 19.38599967956543 36.266998291015625 0.0
68.0 19.26300048828125 36.24599838256836 0.0
70.0 19.180999755859375 36.237998962402344 0.0
72.0 19.14699935913086 36.2400016784668 0.0
74.0 19.12299919128418 36.24599838256836 0.0
76.0 19.104000091552734 36.25 0.0
78.0 19.076000213623047 36.257999420166016 0.0
80.0 19.009000778198242 36.2599983215332 0.0
82.0 18.920000076293945 36.24700164794922 0.0
84.0 18.82699966430664 36.229000091552734 0.0
86.0 18.739999771118164 36.209999084472656 0.0
88.0 18.656999588012695 36.20399856567383 0.0
90.0 18.54800033569336 36.19300079345703 0.0
92.0 18.464000701904297 36.183998107910156 0.0
94.0 18.39900016784668 36.17399978637695 0.0
96.0 18.405000686645508 36.19200134277344 0.0
98.0 18.42099952697754 36.21900177001953 0.0
100.0 18.410999298095703 36.2400016784668 0.0
102.0 18.339000701904297 36.242000579833984 0.0
104.0 18.238000869750977 36.222999572753906 0.0
106.0 18.17099952697754 36.21200180053711 0.0
108.0 18.125999450683594 36.220001220703125 0.0
110.0 18.069000244140625 36.233001708984375 0.0
112.0 18.034000396728516 36.24300003051758 0.0
114.0 18.027000427246094 36.25600051879883 0.0
116.0 18.009000778198242 36.27000045776367 0.0
118.0 17.975000381469727 36.29399871826172 0.0
120.0 17.924999237060547 36.29899978637695 0.0
122.0 17.874000549316406 36.28900146484375 0.0
124.0 17.844999313354492 36.292999267578125 0.0
126.0 17.763999938964844 36.2869987487793 0.0
128.0 17.67300033569336 36.27299880981445 0.0
130.0 17.57699966430664 36.25199890136719 0.0
132.0 17.510000228881836 36.231998443603516 0.0
134.0 17.474000930786133 36.22200012207031 0.0
136.0 17.454999923706055 36.21900177001953 0.0
138.0 17.440000534057617 36.21699905395508 0.0
140.0 17.441999435424805 36.2239990234375 0.0
142.0 17.448999404907227 36.24300003051758 0.0
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152.0 17.365999221801758 36.33100128173828 0.0
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164.0 17.0310001373291 36.30400085449219 0.0
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172.0 16.694000244140625 36.2599983215332 0.0
174.0 16.590999603271484 36.2400016784668 0.0
176.0 16.492000579833984 36.22800064086914 0.0
178.0 16.409000396728516 36.21200180053711 0.0
180.0 16.356000900268555 36.20100021362305 0.0
182.0 16.29599952697754 36.20100021362305 1.0
184.0 16.191999435424805 36.19200134277344 1.0
186.0 16.06999969482422 36.16699981689453 1.0
188.0 15.98799991607666 36.145999908447266 1.0
190.0 15.932000160217285 36.137001037597656 1.0
192.0 15.878000259399414 36.12799835205078 1.0
194.0 15.833000183105469 36.125 1.0
196.0 15.776000022888184 36.119998931884766 1.0
198.0 15.722000122070312 36.11600112915039 1.0
200.0 15.670000076293945 36.1150016784668 1.0
202.0 15.562000274658203 36.099998474121094 1.0
204.0 15.473999977111816 36.082000732421875 1.0
206.0 15.406999588012695 36.06999969482422 1.0
208.0 15.331999778747559 36.058998107910156 1.0
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212.0 15.208999633789062 36.04399871826172 1.0
214.0 15.130999565124512 36.02299880981445 1.0
216.0 15.019000053405762 35.992000579833984 1.0
218.0 14.918000221252441 35.97999954223633 1.0
220.0 14.814000129699707 35.94599914550781 0.0
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224.0 14.657999992370605 35.915000915527344 0.0
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232.0 14.440999984741211 35.882999420166016 0.0
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246.0 14.031999588012695 35.81800079345703 0.0
248.0 13.984000205993652 35.80799865722656 0.0
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262.0 13.699999809265137 35.762001037597656 0.0
264.0 13.652999877929688 35.75600051879883 0.0
266.0 13.616000175476074 35.74300003051758 0.0
268.0 13.567999839782715 35.731998443603516 0.0
270.0 13.482000350952148 35.72700119018555 0.0
272.0 13.38700008392334 35.71500015258789 0.0
274.0 13.282999992370605 35.696998596191406 0.0
276.0 13.196000099182129 35.68299865722656 0.0
278.0 13.142999649047852 35.66899871826172 0.0
280.0 13.104999542236328 35.65999984741211 0.0
282.0 13.062000274658203 35.64400100708008 0.0
284.0 12.982000350952148 35.641998291015625 0.0
286.0 12.930000305175781 35.632999420166016 0.0
288.0 12.878000259399414 35.62200164794922 0.0
290.0 12.836000442504883 35.6150016784668 0.0
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294.0 12.769000053405762 35.608001708984375 0.0
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298.0 12.64900016784668 35.59299850463867 0.0
300.0 12.541999816894531 35.577999114990234 0.0
302.0 12.449000358581543 35.55400085449219 0.0
304.0 12.402000427246094 35.542999267578125 0.0
306.0 12.342000007629395 35.53799819946289 0.0
308.0 12.272000312805176 35.52899932861328 0.0
310.0 12.213000297546387 35.516998291015625 0.0
312.0 12.168000221252441 35.51100158691406 0.0
314.0 12.116999626159668 35.500999450683594 0.0
316.0 12.079999923706055 35.492000579833984 0.0
318.0 12.045000076293945 35.48699951171875 0.0
320.0 12.006999969482422 35.48099899291992 0.0
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332.0 11.692000389099121 35.43199920654297 0.0
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984.0 5.451000213623047 34.90700149536133 0.0
986.0 5.447999954223633 34.90700149536133 0.0
988.0 5.447999954223633 34.90800094604492 0.0
990.0 5.446000099182129 34.90599822998047 0.0
992.0 5.441999912261963 34.90700149536133 0.0
994.0 5.434999942779541 34.90800094604492 0.0
996.0 5.426000118255615 34.909000396728516 0.0
998.0 5.419000148773193 34.909000396728516 0.0
1000.0 5.4120001792907715 34.90999984741211 0.0
1002.0 5.40500020980835 34.90999984741211 0.0
1004.0 5.394999980926514 34.9109992980957 0.0
1006.0 5.36899995803833 34.91400146484375 0.0
1008.0 5.3520002365112305 34.9119987487793 0.0
1010.0 5.35099983215332 34.9119987487793 0.0
1012.0 5.349999904632568 34.91299819946289 0.0
1014.0 5.34499979019165 34.91400146484375 0.0
1016.0 5.331999778747559 34.915000915527344 0.0
1018.0 5.317999839782715 34.91600036621094 0.0
1020.0 5.307000160217285 34.91699981689453 0.0

In total, there are 511 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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