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Dataset Title:  "Deepwater CTD - 94g0811.ctd.nc - 28.58N, -89.88W - 1994-10-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0811_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: 389)
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   389 options
    temperature ?  =  degree_C   389 options
    salinity ?  =  PSU   379 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   5 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   12 options
    silicate ?  =  micromols per liter   11 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
6.0 26.854400634765625 35.17300033569336 5.0370001792907715 0.03999999910593033 0.20000000298023224 0.07999999821186066 3.0 -99.0 0.0
7.0 26.88949966430664 35.19960021972656 5.046999931335449 0.019999999552965164 0.10000000149011612 0.029999999329447746 1.899999976158142 -99.0 0.0
8.0 26.939800262451172 35.24209976196289 3.3510000705718994 0.03999999910593033 8.800000190734863 0.5199999809265137 2.9000000953674316 -99.0 0.0
9.0 26.987899780273438 35.306800842285156 3.3510000705718994 0.029999999329447746 8.899999618530273 0.5299999713897705 6.599999904632568 -99.0 0.0
10.0 27.218900680541992 35.57120132446289 3.4690001010894775 0.019999999552965164 14.600000381469727 0.800000011920929 5.5 -99.0 0.0
11.0 27.268699645996094 35.72129821777344 3.2079999446868896 0.019999999552965164 18.0 1.0299999713897705 7.5 -99.0 0.0
12.0 27.223100662231445 35.80839920043945 3.1010000705718994 0.019999999552965164 20.799999237060547 1.2400000095367432 9.800000190734863 -99.0 0.0
13.0 27.132200241088867 35.86130142211914 3.1010000705718994 0.019999999552965164 20.799999237060547 1.2300000190734863 9.800000190734863 -99.0 0.0
14.0 27.077600479125977 35.868499755859375 3.0759999752044678 0.009999999776482582 22.399999618530273 1.3799999952316284 11.199999809265137 -99.0 0.0
15.0 27.02039909362793 35.900299072265625 2.869999885559082 0.009999999776482582 24.299999237060547 1.4800000190734863 12.300000190734863 -99.0 0.0
16.0 26.958799362182617 35.9197998046875 2.934999942779541 0.029999999329447746 26.0 1.6299999952316284 14.800000190734863 -99.0 0.0
17.0 26.94409942626953 35.91889953613281 0.0
18.0 26.89539909362793 35.92940139770508 0.0
19.0 26.89189910888672 35.92940139770508 0.0
20.0 26.89080047607422 35.928199768066406 0.0
21.0 26.884199142456055 35.93090057373047 0.0
22.0 26.886899948120117 35.92599868774414 0.0
23.0 26.880399703979492 35.930301666259766 0.0
24.0 26.877099990844727 35.93170166015625 0.0
25.0 26.88330078125 35.92639923095703 0.0
26.0 26.877899169921875 35.932498931884766 0.0
27.0 26.87929916381836 35.93410110473633 0.0
28.0 26.88159942626953 35.93539810180664 0.0
29.0 26.881799697875977 35.936100006103516 0.0
30.0 26.882299423217773 35.93579864501953 0.0
31.0 26.88129997253418 35.937198638916016 0.0
32.0 26.878999710083008 35.9375 0.0
33.0 26.87969970703125 35.9369010925293 0.0
34.0 26.878599166870117 35.937400817871094 0.0
35.0 26.876300811767578 35.937198638916016 0.0
36.0 26.875200271606445 35.93669891357422 0.0
37.0 26.870399475097656 35.93600082397461 0.0
38.0 26.86709976196289 35.935298919677734 0.0
39.0 26.863000869750977 35.93410110473633 0.0
40.0 26.858400344848633 35.932701110839844 0.0
41.0 26.853900909423828 35.932899475097656 0.0
42.0 26.855600357055664 35.93560028076172 0.0
43.0 26.855899810791016 35.93659973144531 0.0
44.0 26.85610008239746 35.93669891357422 0.0
45.0 26.85059928894043 35.938201904296875 0.0
46.0 26.836200714111328 35.939998626708984 0.0
47.0 26.8262996673584 35.94020080566406 0.0
48.0 26.805599212646484 35.944400787353516 0.0
49.0 26.790700912475586 35.949501037597656 0.0
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295.0 12.319600105285645 35.53850173950195 0.0
296.0 12.315400123596191 35.537601470947266 0.0
297.0 12.28969955444336 35.53409957885742 0.0
298.0 12.25510025024414 35.529701232910156 0.0
299.0 12.242400169372559 35.527099609375 0.0
300.0 12.239299774169922 35.526100158691406 0.0
301.0 12.217900276184082 35.522701263427734 0.0
302.0 12.150300025939941 35.513999938964844 0.0
303.0 12.11769962310791 35.5088005065918 0.0
304.0 12.115099906921387 35.5078010559082 0.0
305.0 12.10990047454834 35.50659942626953 0.0
306.0 12.109199523925781 35.506099700927734 0.0
307.0 12.106900215148926 35.505401611328125 0.0
308.0 12.103400230407715 35.50450134277344 0.0
309.0 12.07960033416748 35.5010986328125 0.0
310.0 12.071599960327148 35.49959945678711 0.0
311.0 12.062000274658203 35.49810028076172 0.0
312.0 12.043000221252441 35.495601654052734 0.0
313.0 12.036100387573242 35.49440002441406 0.0
314.0 12.058099746704102 35.49610137939453 0.0
315.0 12.000499725341797 35.48860168457031 0.0
316.0 11.906100273132324 35.47819900512695 0.0
317.0 11.872300148010254 35.4724006652832 0.0
318.0 11.8233003616333 35.46590042114258 0.0
319.0 11.827799797058105 35.46480178833008 0.0
320.0 11.857600212097168 35.46689987182617 0.0
321.0 11.75 35.452701568603516 0.0
322.0 11.708700180053711 35.446998596191406 0.0
323.0 11.683600425720215 35.44340133666992 0.0
324.0 11.679900169372559 35.44240188598633 0.0
325.0 11.689000129699707 35.442100524902344 0.0
326.0 11.673999786376953 35.440399169921875 0.0
327.0 11.668600082397461 35.43949890136719 0.0
328.0 11.668399810791016 35.4390983581543 0.0
329.0 11.651399612426758 35.4369010925293 0.0
330.0 11.647700309753418 35.43600082397461 0.0
331.0 11.637399673461914 35.43429946899414 0.0
332.0 11.64109992980957 35.43429946899414 0.0
333.0 11.640700340270996 35.433998107910156 0.0
334.0 11.6318998336792 35.432701110839844 0.0
335.0 11.6181001663208 35.43040084838867 0.0
336.0 11.586400032043457 35.42610168457031 0.0
337.0 11.573399543762207 35.42399978637695 0.0
338.0 11.560199737548828 35.42179870605469 0.0
339.0 11.550200462341309 35.41999816894531 0.0
340.0 11.545999526977539 35.4192008972168 0.0
341.0 11.538100242614746 35.417999267578125 0.0
342.0 11.52340030670166 35.416099548339844 0.0
343.0 11.507200241088867 35.41360092163086 0.0
344.0 11.496199607849121 35.41170120239258 0.0
345.0 11.476099967956543 35.40890121459961 0.0
346.0 11.46679973602295 35.40739822387695 0.0
347.0 11.454099655151367 35.40549850463867 0.0
348.0 11.41450023651123 35.4010009765625 0.0
349.0 11.409500122070312 35.40039825439453 0.0
350.0 11.387499809265137 35.39680099487305 0.0
351.0 11.372400283813477 35.39469909667969 0.0
352.0 11.365400314331055 35.393699645996094 0.0
353.0 11.36299991607666 35.39310073852539 0.0
354.0 11.358499526977539 35.39229965209961 0.0
355.0 11.354499816894531 35.391700744628906 0.0
356.0 11.348600387573242 35.39099884033203 0.0
357.0 11.334099769592285 35.38880157470703 0.0
358.0 11.312700271606445 35.38600158691406 0.0
359.0 11.30679988861084 35.385101318359375 0.0
360.0 11.291000366210938 35.38309860229492 0.0
361.0 11.279800415039062 35.38140106201172 0.0
362.0 11.279199600219727 35.38029861450195 0.0
363.0 11.277700424194336 35.38050079345703 0.0
364.0 11.280500411987305 35.380401611328125 0.0
365.0 11.258500099182129 35.37799835205078 0.0
366.0 11.248700141906738 35.37670135498047 0.0
367.0 11.251999855041504 35.3765983581543 0.0
368.0 11.251299858093262 35.37620162963867 0.0
369.0 11.237299919128418 35.3744010925293 0.0
370.0 11.214300155639648 35.37179946899414 0.0
371.0 11.20580005645752 35.370601654052734 0.0
372.0 11.206500053405762 35.37030029296875 0.0
373.0 11.213899612426758 35.370399475097656 0.0
374.0 11.196499824523926 35.368499755859375 0.0
375.0 11.19480037689209 35.368099212646484 0.0
376.0 11.193099975585938 35.367801666259766 0.0
377.0 11.1628999710083 35.36370086669922 0.0
378.0 11.121899604797363 35.35810089111328 0.0
379.0 11.103099822998047 35.355098724365234 0.0
380.0 11.094200134277344 35.35390090942383 0.0
381.0 11.07390022277832 35.35110092163086 0.0
382.0 10.92300033569336 35.33259963989258 0.0
383.0 10.875900268554688 35.32509994506836 0.0
384.0 10.820300102233887 35.31679916381836 0.0
385.0 10.659099578857422 35.29610061645508 0.0
386.0 10.521400451660156 35.27750015258789 0.0
387.0 10.509099960327148 35.27439880371094 0.0
388.0 10.50160026550293 35.27239990234375 0.0
389.0 10.476900100708008 35.2682991027832 0.0
390.0 10.477700233459473 35.26890182495117 0.0
391.0 10.47439956665039 35.268798828125 0.0
392.0 10.473600387573242 35.268699645996094 0.0
393.0 10.471599578857422 35.2682991027832 0.0
394.0 10.465299606323242 35.2677001953125 0.0

In total, there are 389 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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