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Dataset Title:  "Deepwater CTD - 94g0840.ctd.nc - 28.15N, -90.02W - 1994-10-23" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0840_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: 322)
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   322 options
    temperature ?  =  degree_C   320 options
    salinity ?  =  PSU   309 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   9 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  1 option: 0.0

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 per liter micromols micromols per liter micromols per liter PSU
1.0 26.750699996948242 34.797401428222656 4.947000026702881 0.019999999552965164 0.10000000149011612 0.10000000149011612 2.200000047683716 -99.0 0.0
2.0 26.758499145507812 34.84260177612305 4.980000019073486 0.009999999776482582 0.0 0.07000000029802322 1.600000023841858 -99.0 0.0
3.0 26.836000442504883 35.089500427246094 3.2699999809265137 0.019999999552965164 9.5 0.6000000238418579 6.099999904632568 -99.0 0.0
4.0 26.86520004272461 35.16889953613281 3.0429999828338623 0.009999999776482582 17.299999237060547 1.0700000524520874 7.900000095367432 -99.0 0.0
5.0 26.956100463867188 35.50170135498047 3.242000102996826 0.019999999552965164 17.200000762939453 1.0800000429153442 8.699999809265137 -99.0 0.0
6.0 27.03380012512207 35.77080154418945 2.9700000286102295 0.009999999776482582 22.0 1.4199999570846558 11.399999618530273 -99.0 0.0
7.0 27.00510025024414 35.69219970703125 2.984999895095825 0.019999999552965164 22.0 1.4299999475479126 11.399999618530273 -99.0 0.0
8.0 27.066699981689453 35.92770004272461 2.9030001163482666 0.019999999552965164 25.899999618530273 1.7200000286102295 15.600000381469727 -99.0 0.0
9.0 27.073200225830078 36.00239944458008 2.8910000324249268 0.029999999329447746 26.100000381469727 1.7200000286102295 15.5 -99.0 0.0
10.0 27.067699432373047 36.00339889526367 0.0
11.0 27.061599731445312 36.003700256347656 0.0
12.0 27.055099487304688 36.00450134277344 0.0
13.0 27.04949951171875 36.00490188598633 0.0
14.0 27.04560089111328 36.00490188598633 0.0
15.0 27.04949951171875 36.009300231933594 0.0
16.0 27.045799255371094 36.009498596191406 0.0
17.0 27.045400619506836 36.009300231933594 0.0
18.0 27.04170036315918 36.01110076904297 0.0
19.0 27.037799835205078 36.013301849365234 0.0
20.0 27.034700393676758 36.01570129394531 0.0
21.0 27.03459930419922 36.0182991027832 0.0
22.0 27.031600952148438 36.018699645996094 0.0
23.0 27.029699325561523 36.018798828125 0.0
24.0 27.026899337768555 36.0182991027832 0.0
25.0 27.03219985961914 36.02170181274414 0.0
26.0 27.045000076293945 36.02939987182617 0.0
27.0 27.066999435424805 36.04069900512695 0.0
28.0 27.083200454711914 36.049800872802734 0.0
29.0 27.093000411987305 36.05870056152344 0.0
30.0 27.096399307250977 36.062400817871094 0.0
31.0 27.104999542236328 36.06930160522461 0.0
32.0 27.120399475097656 36.08169937133789 0.0
33.0 27.122800827026367 36.10419845581055 0.0
34.0 27.083599090576172 36.111000061035156 0.0
35.0 27.01959991455078 36.10639953613281 0.0
36.0 26.983999252319336 36.10380172729492 0.0
37.0 26.961200714111328 36.10150146484375 0.0
38.0 26.94529914855957 36.099098205566406 0.0
39.0 26.938199996948242 36.097900390625 0.0
40.0 26.930700302124023 36.09629821777344 0.0
41.0 26.86240005493164 36.09429931640625 0.0
42.0 26.691099166870117 36.109500885009766 0.0
43.0 26.54159927368164 36.13479995727539 0.0
44.0 26.226699829101562 36.16389846801758 0.0
45.0 25.172300338745117 36.26850128173828 0.0
46.0 24.839500427246094 36.29290008544922 0.0
47.0 24.774999618530273 36.287200927734375 0.0
48.0 24.642900466918945 36.29079818725586 0.0
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51.0 23.774700164794922 36.32870101928711 0.0
52.0 23.619199752807617 36.32809829711914 0.0
53.0 23.448699951171875 36.32899856567383 0.0
54.0 23.412700653076172 36.32680130004883 0.0
55.0 23.393999099731445 36.32460021972656 0.0
56.0 23.37540054321289 36.32310104370117 0.0
57.0 23.360300064086914 36.32170104980469 0.0
58.0 23.319499969482422 36.31999969482422 0.0
59.0 23.256200790405273 36.32080078125 0.0
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61.0 23.087099075317383 36.317901611328125 0.0
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68.0 22.321800231933594 36.3380012512207 0.0
69.0 22.195199966430664 36.354000091552734 0.0
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293.0 12.89680004119873 35.62900161743164 0.0
294.0 12.880599975585938 35.626399993896484 0.0
295.0 12.88129997253418 35.62620162963867 0.0
296.0 12.884599685668945 35.62620162963867 0.0
297.0 12.870599746704102 35.624298095703125 0.0
298.0 12.817399978637695 35.61830139160156 0.0
299.0 12.81029987335205 35.615299224853516 0.0
300.0 12.78439998626709 35.61149978637695 0.0
301.0 12.750300407409668 35.60710144042969 0.0
302.0 12.686200141906738 35.5974006652832 0.0
303.0 12.678199768066406 35.5968017578125 0.0
304.0 12.620100021362305 35.587398529052734 0.0
305.0 12.602999687194824 35.58430099487305 0.0
306.0 12.640299797058105 35.58829879760742 0.0
307.0 12.613699913024902 35.58369827270508 0.0
308.0 12.56879997253418 35.577301025390625 0.0
309.0 12.561200141906738 35.57569885253906 0.0
310.0 12.56089973449707 35.575401306152344 0.0
311.0 12.54740047454834 35.57360076904297 0.0
312.0 12.533699989318848 35.5713996887207 0.0
313.0 12.486000061035156 35.564300537109375 0.0
314.0 12.472599983215332 35.56209945678711 0.0
315.0 12.465200424194336 35.560699462890625 0.0
316.0 12.456700325012207 35.55910110473633 0.0
317.0 12.452300071716309 35.55830001831055 0.0
318.0 12.4483003616333 35.557701110839844 0.0
319.0 12.44320011138916 35.556800842285156 0.0
320.0 12.417799949645996 35.55350112915039 0.0
321.0 12.402899742126465 35.55110168457031 0.0
322.0 12.389699935913086 35.54899978637695 0.0

In total, there are 322 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.


 
ERDDAP, Version 2.23
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