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Dataset Title:  "Deepwater CTD - 03300553.ctd.nc - 26.5N, -92.0W - 1987-04-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03300553_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: 1490)
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   1490 options
    temperature ?  =  degree_C   1225 options
    salinity ?  =  PSU   416 options
    oxygen ?  =  milliliters per liter   1185 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
3.0 21.610000610351562 36.084999084472656 5.235599994659424 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
4.0 21.606000900268555 36.08300018310547 5.19890022277832 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
5.0 21.593000411987305 36.08300018310547 5.198200225830078 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 21.577999114990234 36.08300018310547 5.220200061798096 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
7.0 21.55900001525879 36.082000732421875 5.2230000495910645 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
8.0 21.53499984741211 36.077999114990234 5.157400131225586 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
9.0 21.5049991607666 36.07400131225586 5.213699817657471 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
10.0 21.479000091552734 36.06999969482422 5.242499828338623 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
11.0 21.461999893188477 36.06700134277344 5.242199897766113 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
12.0 21.448999404907227 36.064998626708984 5.267899990081787 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
13.0 21.440000534057617 36.064998626708984 5.2895002365112305 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
14.0 21.429000854492188 36.064998626708984 5.3028998374938965 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
15.0 21.41900062561035 36.0629997253418 5.272600173950195 0.0
16.0 21.40999984741211 36.0629997253418 5.260700225830078 0.0
17.0 21.408000946044922 36.0629997253418 5.254499912261963 0.0
18.0 21.408000946044922 36.0629997253418 5.278299808502197 0.0
19.0 21.4060001373291 36.0629997253418 5.270999908447266 0.0
20.0 21.4060001373291 36.0629997253418 5.267399787902832 0.0
21.0 21.40399932861328 36.0629997253418 5.273799896240234 0.0
22.0 21.39900016784668 36.0629997253418 5.243100166320801 0.0
23.0 21.39900016784668 36.0629997253418 5.25629997253418 0.0
24.0 21.40399932861328 36.06700134277344 5.270299911499023 0.0
25.0 21.408000946044922 36.06999969482422 5.278299808502197 0.0
26.0 21.40999984741211 36.06999969482422 5.276100158691406 0.0
27.0 21.40999984741211 36.071998596191406 5.3125 0.0
28.0 21.413999557495117 36.071998596191406 5.321800231933594 0.0
29.0 21.42099952697754 36.07600021362305 5.3333001136779785 0.0
30.0 21.424999237060547 36.08300018310547 5.353000164031982 0.0
31.0 21.424999237060547 36.08700180053711 5.353000164031982 0.0
32.0 21.42099952697754 36.09299850463867 5.338699817657471 0.0
33.0 21.416000366210938 36.104000091552734 5.349400043487549 0.0
34.0 21.402000427246094 36.12099838256836 5.3649001121521 0.0
35.0 21.391000747680664 36.13399887084961 5.366099834442139 0.0
36.0 21.3799991607666 36.1510009765625 5.358099937438965 0.0
37.0 21.367000579833984 36.16400146484375 5.370999813079834 0.0
38.0 21.357999801635742 36.16899871826172 5.345900058746338 0.0
39.0 21.360000610351562 36.176998138427734 5.360599994659424 0.0
40.0 21.367000579833984 36.19499969482422 5.334000110626221 0.0
41.0 21.375999450683594 36.23099899291992 5.341800212860107 0.0
42.0 21.347999572753906 36.255001068115234 5.280099868774414 0.0
43.0 21.26300048828125 36.250999450683594 5.287700176239014 0.0
44.0 21.19700050354004 36.24399948120117 5.296000003814697 0.0
45.0 21.158000946044922 36.23500061035156 5.281700134277344 0.0
46.0 21.141000747680664 36.233001708984375 5.260200023651123 0.0
47.0 21.131999969482422 36.23099899291992 5.258399963378906 0.0
48.0 21.131999969482422 36.23099899291992 5.194900035858154 0.0
49.0 21.1299991607666 36.23099899291992 5.192500114440918 0.0
50.0 21.1299991607666 36.23500061035156 5.188399791717529 0.0
51.0 21.1299991607666 36.236000061035156 5.118199825286865 0.0
52.0 21.125999450683594 36.237998962402344 5.113500118255615 0.0
53.0 21.117000579833984 36.236000061035156 5.0696001052856445 0.0
54.0 21.111000061035156 36.23500061035156 5.021100044250488 0.0
55.0 21.106000900268555 36.237998962402344 4.995699882507324 0.0
56.0 21.097999572753906 36.237998962402344 4.987800121307373 0.0
57.0 21.093000411987305 36.236000061035156 4.962299823760986 0.0
58.0 21.090999603271484 36.236000061035156 4.978099822998047 0.0
59.0 21.086999893188477 36.237998962402344 4.979899883270264 0.0
60.0 21.079999923706055 36.237998962402344 5.003600120544434 0.0
61.0 21.069000244140625 36.237998962402344 4.999899864196777 0.0
62.0 21.04199981689453 36.236000061035156 5.002099990844727 0.0
63.0 21.0 36.233001708984375 5.0142998695373535 0.0
64.0 20.964000701904297 36.23500061035156 5.015900135040283 0.0
65.0 20.93600082397461 36.233001708984375 5.010700225830078 0.0
66.0 20.89699935913086 36.229000091552734 4.921000003814697 0.0
67.0 20.834999084472656 36.222999572753906 4.589000225067139 0.0
68.0 20.78700065612793 36.220001220703125 4.410799980163574 0.0
69.0 20.763999938964844 36.21799850463867 4.240600109100342 0.0
70.0 20.753000259399414 36.21799850463867 4.111100196838379 0.0
71.0 20.736000061035156 36.21799850463867 4.05079984664917 0.0
72.0 20.70800018310547 36.2140007019043 3.9986000061035156 0.0
73.0 20.679000854492188 36.209999084472656 3.9265999794006348 0.0
74.0 20.658000946044922 36.207000732421875 3.8594000339508057 0.0
75.0 20.64699935913086 36.207000732421875 3.7873001098632812 0.0
76.0 20.64900016784668 36.20800018310547 3.7372000217437744 0.0
77.0 20.650999069213867 36.209999084472656 3.6833999156951904 0.0
78.0 20.702999114990234 36.233001708984375 3.621299982070923 0.0
79.0 20.80500030517578 36.2760009765625 3.57669997215271 0.0
80.0 20.847999572753906 36.31700134277344 3.5309998989105225 0.0
81.0 20.829999923706055 36.35200119018555 3.4677000045776367 0.0
82.0 20.802000045776367 36.38600158691406 3.4414000511169434 0.0
83.0 20.75 36.40399932861328 3.440999984741211 0.0
84.0 20.663999557495117 36.40599822998047 3.412899971008301 0.0
85.0 20.56999969482422 36.40599822998047 3.3761000633239746 0.0
86.0 20.5310001373291 36.4010009765625 3.3545000553131104 0.0
87.0 20.52199935913086 36.39699935913086 3.330399990081787 0.0
88.0 20.509000778198242 36.39500045776367 3.331700086593628 0.0
89.0 20.496000289916992 36.39699935913086 3.3380000591278076 0.0
90.0 20.488000869750977 36.39899826049805 3.334399938583374 0.0
91.0 20.485000610351562 36.4010009765625 3.3229000568389893 0.0
92.0 20.476999282836914 36.402000427246094 3.3089001178741455 0.0
93.0 20.461999893188477 36.402000427246094 3.27239990234375 0.0
94.0 20.44499969482422 36.4010009765625 3.30049991607666 0.0
95.0 20.41699981689453 36.40399932861328 3.268899917602539 0.0
96.0 20.4060001373291 36.40800094604492 3.276900053024292 0.0
97.0 20.4060001373291 36.41600036621094 3.282099962234497 0.0
98.0 20.39299964904785 36.426998138427734 3.2713000774383545 0.0
99.0 20.371000289916992 36.433998107910156 3.2539000511169434 0.0
100.0 20.326000213623047 36.43199920654297 3.2741000652313232 0.0
101.0 20.259000778198242 36.433998107910156 3.26200008392334 0.0
102.0 20.211999893188477 36.43600082397461 3.276599884033203 0.0
103.0 20.19700050354004 36.4379997253418 3.2430999279022217 0.0
104.0 20.18600082397461 36.444000244140625 3.2458999156951904 0.0
105.0 20.16900062561035 36.457000732421875 3.261899948120117 0.0
106.0 20.15999984741211 36.483001708984375 3.2604000568389893 0.0
107.0 20.121000289916992 36.4900016784668 3.265000104904175 0.0
108.0 20.065000534057617 36.483001708984375 3.2500998973846436 0.0
109.0 19.924999237060547 36.452999114990234 3.2290000915527344 0.0
110.0 19.788999557495117 36.426998138427734 3.2172999382019043 0.0
111.0 19.687999725341797 36.41400146484375 3.2453999519348145 0.0
112.0 19.6299991607666 36.40800094604492 3.2274999618530273 0.0
113.0 19.573999404907227 36.39899826049805 3.2244999408721924 0.0
114.0 19.488000869750977 36.388999938964844 3.213599920272827 0.0
115.0 19.356000900268555 36.402000427246094 3.2262001037597656 0.0
116.0 19.225000381469727 36.41600036621094 3.2081000804901123 0.0
117.0 19.125999450683594 36.41400146484375 3.2058000564575195 0.0
118.0 19.033000946044922 36.4119987487793 3.2216999530792236 0.0
119.0 18.941999435424805 36.41400146484375 3.190999984741211 0.0
120.0 18.834999084472656 36.40999984741211 3.2084999084472656 0.0
121.0 18.701000213623047 36.393001556396484 3.184499979019165 0.0
122.0 18.488000869750977 36.36899948120117 3.1949000358581543 0.0
123.0 18.367000579833984 36.358001708984375 3.19950008392334 0.0
124.0 18.291000366210938 36.354000091552734 3.1745998859405518 0.0
125.0 18.226999282836914 36.347999572753906 3.1812000274658203 0.0
126.0 18.15399932861328 36.345001220703125 3.1886000633239746 0.0
127.0 18.084999084472656 36.345001220703125 3.1774001121520996 0.0
128.0 18.04400062561035 36.345001220703125 3.170799970626831 0.0
129.0 18.016000747680664 36.347999572753906 3.183300018310547 0.0
130.0 17.996000289916992 36.347999572753906 3.1809000968933105 0.0
131.0 17.975000381469727 36.349998474121094 3.1672000885009766 0.0
132.0 17.964000701904297 36.35200119018555 3.173099994659424 0.0
133.0 17.951000213623047 36.35200119018555 3.1665000915527344 0.0
134.0 17.93400001525879 36.35200119018555 3.1665000915527344 0.0
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139.0 17.650999069213867 36.33300018310547 3.1561999320983887 0.0
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141.0 17.41900062561035 36.301998138427734 3.1384999752044678 0.0
142.0 17.363000869750977 36.28499984741211 3.146699905395508 0.0
143.0 17.299999237060547 36.2760009765625 3.1266000270843506 0.0
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146.0 17.041000366210938 36.24399948120117 3.1252999305725098 0.0
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148.0 16.908000946044922 36.236000061035156 3.1110000610351562 0.0
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152.0 16.75 36.224998474121094 3.1152000427246094 0.0
153.0 16.691999435424805 36.224998474121094 3.0950000286102295 0.0
154.0 16.650999069213867 36.222999572753906 3.097899913787842 0.0
155.0 16.63599967956543 36.222999572753906 3.103800058364868 0.0
156.0 16.6299991607666 36.220001220703125 3.1048998832702637 0.0
157.0 16.614999771118164 36.21799850463867 3.1047000885009766 0.0
158.0 16.597999572753906 36.215999603271484 3.093100070953369 0.0
159.0 16.56999969482422 36.209999084472656 3.100100040435791 0.0
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190.0 15.246999740600586 36.0 3.103100061416626 0.0
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223.0 13.848999977111816 35.78499984741211 3.0645999908447266 0.0
224.0 13.835000038146973 35.78300094604492 3.0618999004364014 0.0
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982.0 4.855999946594238 34.939998626708984 5.437900066375732 0.0
983.0 4.849999904632568 34.94200134277344 5.446499824523926 0.0
984.0 4.8470001220703125 34.94200134277344 5.441400051116943 0.0
985.0 4.8429999351501465 34.94200134277344 5.445300102233887 0.0
986.0 4.839000225067139 34.94200134277344 5.438799858093262 0.0
987.0 4.835999965667725 34.94200134277344 5.439499855041504 0.0
988.0 4.831999778747559 34.94200134277344 5.447500228881836 0.0
989.0 4.829999923706055 34.94200134277344 5.442999839782715 0.0
990.0 4.828000068664551 34.94200134277344 5.446300029754639 0.0
991.0 4.823999881744385 34.94200134277344 5.446599960327148 0.0
992.0 4.818999767303467 34.94200134277344 5.444200038909912 0.0
993.0 4.813000202178955 34.944000244140625 5.4456000328063965 0.0
994.0 4.807000160217285 34.94499969482422 5.446499824523926 0.0
995.0 4.804999828338623 34.94499969482422 5.449699878692627 0.0
996.0 4.802000045776367 34.944000244140625 5.451600074768066 0.0
997.0 4.800000190734863 34.944000244140625 5.456999778747559 0.0
998.0 4.796000003814697 34.94499969482422 5.451499938964844 0.0
999.0 4.794000148773193 34.944000244140625 5.449100017547607 0.0
1000.0 4.793000221252441 34.944000244140625 5.452600002288818 0.0
1001.0 4.791999816894531 34.944000244140625 5.464600086212158 0.0
1002.0 4.789999961853027 34.944000244140625 5.450399875640869 0.0

In total, there are 1490 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 490 rows aren't being shown.
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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