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Dataset Title:  "Deepwater CTD - d92b094.ctd.nc - 27.87N, -92.86W - 1992-00-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92b094_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: 425)
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   213 options
    temperature ?  =  degree_C   423 options
    salinity ?  =  PSU   407 options
    oxygen ?  =  milliliters per liter   2 options
    pressure ?  =  decibars   425 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
1.0 30.706600189208984 34.12229919433594 -9.0 1.5099999904632568 0.0 0.4300000071525574 0.019999999552965164 1.590000033378601 -9.0 0.0
2.0 30.694400787353516 34.12310028076172 -9.0 2.5169999599456787 0.0 0.41999998688697815 0.029999999329447746 1.6799999475479126 -9.0 0.0
2.0 30.70509910583496 34.12260055541992 -9.0 2.013000011444092 0.0 0.4300000071525574 0.019999999552965164 1.3700000047683716 -9.0 0.0
3.0 30.611000061035156 34.123600006103516 -9.0 3.5239999294281006 0.0 0.4099999964237213 0.019999999552965164 0.14000000059604645 -9.0 0.0
3.0 30.650400161743164 34.1244010925293 -9.0 3.0199999809265137 0.0 0.4099999964237213 0.029999999329447746 0.47999998927116394 -9.0 0.0
4.0 30.330400466918945 34.13410186767578 -9.0 4.53000020980835 0.2199999988079071 3.0999999046325684 0.17000000178813934 1.0199999809265137 -9.0 0.0
4.0 30.554500579833984 34.12540054321289 -9.0 4.0269999504089355 0.20000000298023224 0.7599999904632568 0.03999999910593033 0.36000001430511475 -9.0 0.0
5.0 30.221799850463867 34.13819885253906 -9.0 5.5370001792907715 0.029999999329447746 12.979999542236328 0.6499999761581421 3.309999942779541 -9.0 0.0
5.0 30.249399185180664 34.13800048828125 -9.0 5.033999919891357 0.07000000029802322 8.260000228881836 0.4300000071525574 2.0999999046325684 -9.0 0.0
6.0 30.185100555419922 34.14139938354492 -9.0 6.544000148773193 0.0 16.81999969482422 0.9599999785423279 5.519999980926514 -9.0 0.0
6.0 30.204700469970703 34.13990020751953 -9.0 6.039999961853027 0.009999999776482582 15.319999694824219 0.8500000238418579 4.420000076293945 -9.0 0.0
7.0 30.156700134277344 34.14459991455078 7.551000118255615 0.0
7.0 30.168800354003906 34.143001556396484 -9.0 7.046999931335449 0.019999999552965164 17.280000686645508 1.0099999904632568 5.949999809265137 -9.0 0.0
8.0 30.13089942932129 34.14390182495117 8.557000160217285 0.0
8.0 30.144699096679688 34.14509963989258 8.053999900817871 0.0
9.0 30.104299545288086 34.1432991027832 9.564000129699707 0.0
9.0 30.118499755859375 34.143798828125 9.060999870300293 0.0
10.0 30.08679962158203 34.1510009765625 10.571000099182129 0.0
10.0 30.09160041809082 34.14550018310547 10.067999839782715 0.0
11.0 30.091899871826172 34.167701721191406 11.57800006866455 0.0
11.0 30.09630012512207 34.16299819946289 11.074000358581543 0.0
12.0 30.086599349975586 34.17409896850586 12.081000328063965 0.0
12.0 30.098400115966797 34.19029998779297 12.585000038146973 0.0
13.0 30.125900268554688 34.208900451660156 13.088000297546387 0.0
13.0 30.13360023498535 34.21879959106445 13.590999603271484 0.0
14.0 30.10770034790039 34.268699645996094 14.597999572753906 0.0
14.0 30.110000610351562 34.22629928588867 14.095000267028809 0.0
15.0 30.182100296020508 34.401100158691406 15.10200023651123 0.0
15.0 30.214099884033203 34.49639892578125 15.604999542236328 0.0
16.0 30.2091007232666 34.5797004699707 16.61199951171875 0.0
16.0 30.212400436401367 34.560298919677734 16.107999801635742 0.0
17.0 30.209400177001953 34.641300201416016 17.618999481201172 0.0
17.0 30.21339988708496 34.5974006652832 17.114999771118164 0.0
18.0 30.1653995513916 34.74879837036133 18.625 0.0
18.0 30.19420051574707 34.69649887084961 18.121999740600586 0.0
19.0 29.990299224853516 34.916099548339844 19.631999969482422 0.0
19.0 30.09869956970215 34.84360122680664 19.128999710083008 0.0
20.0 29.77359962463379 35.0619010925293 20.638999938964844 0.0
20.0 29.881999969482422 34.988800048828125 20.13599967956543 0.0
21.0 29.556900024414062 35.20880126953125 21.645999908447266 0.0
21.0 29.665300369262695 35.13520050048828 21.14299964904785 0.0
22.0 29.490400314331055 35.284400939941406 22.652999877929688 0.0
22.0 29.51490020751953 35.2495002746582 22.14900016784668 0.0
23.0 29.345600128173828 35.41939926147461 23.65999984741211 0.0
23.0 29.44849967956543 35.350399017333984 23.1560001373291 0.0
24.0 29.26799964904785 35.45399856567383 24.666000366210938 0.0
24.0 29.322999954223633 35.44490051269531 24.163000106811523 0.0
25.0 29.125600814819336 35.484798431396484 25.170000076293945 0.0
25.0 29.128000259399414 35.506099700927734 25.67300033569336 0.0
26.0 29.07710075378418 35.636199951171875 26.68000030517578 0.0
26.0 29.15180015563965 35.555198669433594 26.177000045776367 0.0
27.0 28.85810089111328 35.82820129394531 27.687000274658203 0.0
27.0 28.95039939880371 35.72570037841797 27.18400001525879 0.0
28.0 28.667200088500977 35.908599853515625 28.694000244140625 0.0
28.0 28.80620002746582 35.93130111694336 28.190000534057617 0.0
29.0 28.091299057006836 35.829498291015625 29.701000213623047 0.0
29.0 28.496000289916992 35.860801696777344 29.19700050354004 0.0
30.0 27.114299774169922 35.716400146484375 30.70800018310547 0.0
30.0 27.6156005859375 35.76020050048828 30.20400047302246 0.0
31.0 26.611000061035156 35.73440170288086 31.71500015258789 0.0
31.0 26.825000762939453 35.70180130004883 31.211000442504883 0.0
32.0 26.13450050354004 35.78310012817383 32.72100067138672 0.0
32.0 26.436800003051758 35.77149963378906 32.21799850463867 0.0
33.0 25.930700302124023 35.789798736572266 33.72800064086914 0.0
33.0 25.992399215698242 35.782901763916016 33.224998474121094 0.0
34.0 25.836700439453125 35.81639862060547 34.73500061035156 0.0
34.0 25.873199462890625 35.80390167236328 34.231998443603516 0.0
35.0 25.571800231933594 35.900299072265625 35.742000579833984 0.0
35.0 25.792800903320312 35.83639907836914 35.23899841308594 0.0
36.0 24.736600875854492 36.03779983520508 36.749000549316406 0.0
36.0 24.9685001373291 35.96929931640625 36.24599838256836 0.0
37.0 24.53459930419922 36.03369903564453 37.75600051879883 0.0
37.0 24.667600631713867 36.038700103759766 37.25199890136719 0.0
38.0 24.311100006103516 36.02690124511719 38.76300048828125 0.0
38.0 24.410200119018555 36.03139877319336 38.25899887084961 0.0
39.0 24.167499542236328 36.036800384521484 39.77000045776367 0.0
39.0 24.256999969482422 36.02949905395508 39.26599884033203 0.0
40.0 23.8789005279541 36.051300048828125 40.777000427246094 0.0
40.0 24.063100814819336 36.04199981689453 40.27299880981445 0.0
41.0 23.643199920654297 36.085899353027344 41.784000396728516 0.0
41.0 23.69569969177246 36.07820129394531 41.279998779296875 0.0
42.0 23.521699905395508 36.113399505615234 42.79100036621094 0.0
42.0 23.609699249267578 36.09640121459961 42.2869987487793 0.0
43.0 23.336700439453125 36.12580108642578 43.797000885009766 0.0
43.0 23.4148006439209 36.12120056152344 43.29399871826172 0.0
44.0 23.228900909423828 36.144901275634766 44.80500030517578 0.0
44.0 23.269899368286133 36.13290023803711 44.30099868774414 0.0
45.0 23.15089988708496 36.1609001159668 45.8120002746582 0.0
45.0 23.185800552368164 36.154998779296875 45.30799865722656 0.0
46.0 23.050899505615234 36.180599212646484 46.81800079345703 0.0
46.0 23.117799758911133 36.1708984375 46.314998626708984 0.0
47.0 22.778499603271484 36.20370101928711 47.82500076293945 0.0
47.0 22.94029998779297 36.195701599121094 47.321998596191406 0.0
48.0 22.553800582885742 36.17890167236328 48.832000732421875 0.0
48.0 22.646900177001953 36.18899917602539 48.32899856567383 0.0
49.0 22.44860076904297 36.170501708984375 49.8390007019043 0.0
49.0 22.492300033569336 36.172698974609375 49.33599853515625 0.0
50.0 22.33489990234375 36.19139862060547 50.84600067138672 0.0
50.0 22.399200439453125 36.17359924316406 50.34299850463867 0.0
51.0 22.152299880981445 36.194000244140625 51.85300064086914 0.0
51.0 22.2450008392334 36.192100524902344 51.349998474121094 0.0
52.0 22.029399871826172 36.19279861450195 52.86000061035156 0.0
52.0 22.087099075317383 36.19350051879883 52.356998443603516 0.0
53.0 21.992000579833984 36.19459915161133 53.867000579833984 0.0
53.0 22.008499145507812 36.19350051879883 53.36399841308594 0.0
54.0 21.94230079650879 36.19770050048828 54.874000549316406 0.0
54.0 21.96739959716797 36.19580078125 54.37099838256836 0.0
55.0 21.91069984436035 36.204898834228516 55.88100051879883 0.0
55.0 21.925399780273438 36.200599670410156 55.37799835205078 0.0
56.0 21.88089942932129 36.23080062866211 56.88800048828125 0.0
56.0 21.892900466918945 36.21500015258789 56.3849983215332 0.0
57.0 21.886699676513672 36.2494010925293 57.391998291015625 0.0
57.0 21.981700897216797 36.30780029296875 57.89500045776367 0.0
58.0 21.861000061035156 36.331199645996094 58.902000427246094 0.0
58.0 21.936199188232422 36.326900482177734 58.39899826049805 0.0
59.0 21.721500396728516 36.316001892089844 59.909000396728516 0.0
59.0 21.768699645996094 36.32360076904297 59.40599822998047 0.0
60.0 21.642900466918945 36.305301666259766 60.91600036621094 0.0
60.0 21.68120002746582 36.311500549316406 60.41299819946289 0.0
61.0 21.576200485229492 36.299400329589844 61.92300033569336 0.0
61.0 21.616100311279297 36.299198150634766 61.41999816894531 0.0
62.0 21.496299743652344 36.29990005493164 62.93000030517578 0.0
62.0 21.53619956970215 36.29970169067383 62.426998138427734 0.0
63.0 21.416400909423828 36.30030059814453 63.9379997253418 0.0
63.0 21.45639991760254 36.30009841918945 63.433998107910156 0.0
64.0 21.336599349975586 36.30080032348633 64.94499969482422 0.0
64.0 21.37649917602539 36.300498962402344 64.44100189208984 0.0
65.0 21.25670051574707 36.30110168457031 65.9520034790039 0.0
65.0 21.296600341796875 36.300899505615234 65.447998046875 0.0
66.0 21.170299530029297 36.28929901123047 66.95899963378906 0.0
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68.0 21.13920021057129 36.32609939575195 68.9729995727539 0.0
68.0 21.16990089416504 36.33420181274414 68.46900177001953 0.0
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69.0 21.113500595092773 36.31639862060547 69.47599792480469 0.0
70.0 21.00480079650879 36.29330062866211 70.98699951171875 0.0
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102.0 19.078100204467773 36.40919876098633 102.71199798583984 0.0
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111.0 18.375 36.41230010986328 112.28099822998047 0.0
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213.0 15.265000343322754 36.01599884033203 214.54600524902344 0.0

In total, there are 425 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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