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Dataset Title:  "Deepwater CTD - 03294083.ctd.nc - 24.92N, -92.78W - 1985-10-25" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03294083_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: 1483)
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   1483 options
    temperature ?  =  degree_C   1084 options
    salinity ?  =  PSU   372 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
4.0 27.52899932861328 36.25 5.235599994659424 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
5.0 27.52899932861328 36.25 5.19890022277832 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
6.0 27.52899932861328 36.25 5.198200225830078 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
7.0 27.52899932861328 36.25 5.220200061798096 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 27.52899932861328 36.25 5.2230000495910645 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
9.0 27.52899932861328 36.25 5.157400131225586 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
10.0 27.52899932861328 36.25 5.213699817657471 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
11.0 27.52899932861328 36.25 5.242499828338623 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
12.0 27.52899932861328 36.25 5.242199897766113 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
13.0 27.52899932861328 36.25 5.267899990081787 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
14.0 27.52899932861328 36.25 5.2895002365112305 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
15.0 27.52899932861328 36.25 5.3028998374938965 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
16.0 27.5310001373291 36.25 5.272600173950195 0.0
17.0 27.538999557495117 36.25 5.260700225830078 0.0
18.0 27.53700065612793 36.25 5.254499912261963 0.0
19.0 27.5310001373291 36.25 5.278299808502197 0.0
20.0 27.538999557495117 36.25 5.270999908447266 0.0
21.0 27.538999557495117 36.25 5.267399787902832 0.0
22.0 27.538999557495117 36.25 5.273799896240234 0.0
23.0 27.538999557495117 36.25 5.243100166320801 0.0
24.0 27.53700065612793 36.25 5.25629997253418 0.0
25.0 27.52899932861328 36.25 5.270299911499023 0.0
26.0 27.52899932861328 36.25 5.278299808502197 0.0
27.0 27.5310001373291 36.25 5.276100158691406 0.0
28.0 27.53700065612793 36.25 5.3125 0.0
29.0 27.52899932861328 36.25 5.321800231933594 0.0
30.0 27.52899932861328 36.25 5.3333001136779785 0.0
31.0 27.52899932861328 36.25 5.353000164031982 0.0
32.0 27.5310001373291 36.25 5.353000164031982 0.0
33.0 27.533000946044922 36.24599838256836 5.338699817657471 0.0
34.0 27.489999771118164 36.242000579833984 5.349400043487549 0.0
35.0 27.427000045776367 36.24599838256836 5.3649001121521 0.0
36.0 27.350000381469727 36.23500061035156 5.366099834442139 0.0
37.0 27.03499984741211 36.22200012207031 5.358099937438965 0.0
38.0 26.715999603271484 36.229000091552734 5.370999813079834 0.0
39.0 26.593000411987305 36.22700119018555 5.345900058746338 0.0
40.0 26.51300048828125 36.215999603271484 5.360599994659424 0.0
41.0 26.479000091552734 36.21200180053711 5.334000110626221 0.0
42.0 26.40999984741211 36.220001220703125 5.341800212860107 0.0
43.0 26.347999572753906 36.215999603271484 5.280099868774414 0.0
44.0 26.302000045776367 36.21200180053711 5.287700176239014 0.0
45.0 26.250999450683594 36.220001220703125 5.296000003814697 0.0
46.0 26.222999572753906 36.220001220703125 5.281700134277344 0.0
47.0 26.19700050354004 36.220001220703125 5.260200023651123 0.0
48.0 26.1560001373291 36.220001220703125 5.258399963378906 0.0
49.0 26.114999771118164 36.220001220703125 5.194900035858154 0.0
50.0 26.079999923706055 36.215999603271484 5.192500114440918 0.0
51.0 26.038999557495117 36.21200180053711 5.188399791717529 0.0
52.0 25.981000900268555 36.220001220703125 5.118199825286865 0.0
53.0 25.93400001525879 36.220001220703125 5.113500118255615 0.0
54.0 25.900999069213867 36.220001220703125 5.0696001052856445 0.0
55.0 25.875 36.220001220703125 5.021100044250488 0.0
56.0 25.836999893188477 36.220001220703125 4.995699882507324 0.0
57.0 25.80699920654297 36.220001220703125 4.987800121307373 0.0
58.0 25.78499984741211 36.220001220703125 4.962299823760986 0.0
59.0 25.76799964904785 36.220001220703125 4.978099822998047 0.0
60.0 25.732999801635742 36.220001220703125 4.979899883270264 0.0
61.0 25.701000213623047 36.220001220703125 5.003600120544434 0.0
62.0 25.68400001525879 36.220001220703125 4.999899864196777 0.0
63.0 25.66699981689453 36.220001220703125 5.002099990844727 0.0
64.0 25.641000747680664 36.220001220703125 5.0142998695373535 0.0
65.0 25.611000061035156 36.220001220703125 5.015900135040283 0.0
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72.0 25.475000381469727 36.220001220703125 4.05079984664917 0.0
73.0 25.464000701904297 36.220001220703125 3.9986000061035156 0.0
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76.0 25.41900062561035 36.220001220703125 3.7873001098632812 0.0
77.0 25.40399932861328 36.220001220703125 3.7372000217437744 0.0
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79.0 25.388999938964844 36.220001220703125 3.621299982070923 0.0
80.0 25.384000778198242 36.220001220703125 3.57669997215271 0.0
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82.0 25.357999801635742 36.224998474121094 3.4677000045776367 0.0
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84.0 25.339000701904297 36.229000091552734 3.440999984741211 0.0
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87.0 25.312999725341797 36.229000091552734 3.3545000553131104 0.0
88.0 25.304000854492188 36.229000091552734 3.330399990081787 0.0
89.0 25.299999237060547 36.229000091552734 3.331700086593628 0.0
90.0 25.29199981689453 36.229000091552734 3.3380000591278076 0.0
91.0 25.283000946044922 36.229000091552734 3.334399938583374 0.0
92.0 25.27899932861328 36.229000091552734 3.3229000568389893 0.0
93.0 25.27199935913086 36.229000091552734 3.3089001178741455 0.0
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95.0 25.259000778198242 36.229000091552734 3.30049991607666 0.0
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100.0 25.222999572753906 36.23500061035156 3.2539000511169434 0.0
101.0 25.219999313354492 36.2400016784668 3.2741000652313232 0.0
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104.0 25.209999084472656 36.2400016784668 3.2430999279022217 0.0
105.0 25.201000213623047 36.2400016784668 3.2458999156951904 0.0
106.0 25.198999404907227 36.2400016784668 3.261899948120117 0.0
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108.0 25.198999404907227 36.2400016784668 3.265000104904175 0.0
109.0 25.198999404907227 36.2400016784668 3.2500998973846436 0.0
110.0 25.191999435424805 36.2400016784668 3.2290000915527344 0.0
111.0 25.190000534057617 36.2400016784668 3.2172999382019043 0.0
112.0 25.190000534057617 36.2400016784668 3.2453999519348145 0.0
113.0 25.18199920654297 36.2400016784668 3.2274999618530273 0.0
114.0 25.179000854492188 36.2400016784668 3.2244999408721924 0.0
115.0 25.179000854492188 36.24599838256836 3.213599920272827 0.0
116.0 25.179000854492188 36.25 3.2262001037597656 0.0
117.0 25.179000854492188 36.25 3.2081000804901123 0.0
118.0 25.179000854492188 36.25 3.2058000564575195 0.0
119.0 25.179000854492188 36.25 3.2216999530792236 0.0
120.0 25.179000854492188 36.25 3.190999984741211 0.0
121.0 25.179000854492188 36.25 3.2084999084472656 0.0
122.0 25.179000854492188 36.25 3.184499979019165 0.0
123.0 25.179000854492188 36.25 3.1949000358581543 0.0
124.0 25.179000854492188 36.25 3.19950008392334 0.0
125.0 25.179000854492188 36.25699996948242 3.1745998859405518 0.0
126.0 25.179000854492188 36.25899887084961 3.1812000274658203 0.0
127.0 25.17099952697754 36.25899887084961 3.1886000633239746 0.0
128.0 25.16900062561035 36.25899887084961 3.1774001121520996 0.0
129.0 25.16900062561035 36.25899887084961 3.170799970626831 0.0
130.0 25.16900062561035 36.25899887084961 3.183300018310547 0.0
131.0 25.15999984741211 36.25899887084961 3.1809000968933105 0.0
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995.0 5.540999889373779 34.90999984741211 5.446499824523926 0.0
996.0 5.540999889373779 34.90999984741211 5.449699878692627 0.0
997.0 5.540999889373779 34.90999984741211 5.451600074768066 0.0
998.0 5.540999889373779 34.90999984741211 5.456999778747559 0.0
999.0 5.540999889373779 34.90999984741211 5.451499938964844 0.0
1000.0 5.540999889373779 34.90999984741211 5.449100017547607 0.0
1001.0 5.53000020980835 34.90999984741211 5.452600002288818 0.0
1002.0 5.53000020980835 34.90999984741211 5.464600086212158 0.0
1003.0 5.53000020980835 34.90999984741211 5.450399875640869 0.0

In total, there are 1483 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 483 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.


 
ERDDAP, Version 2.23
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