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Dataset Title:  "Deepwater CTD - d93g061.ctd.nc - 28.02N, -90.5W - 1993-11-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g061_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: 513)
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   257 options
    temperature ?  =  degree_C   478 options
    salinity ?  =  PSU   426 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   513 options
    nitrite ?  =  micromols   6 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   12 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
4.0 25.40690040588379 36.28310012817383 4.670000076293945 4.517000198364258 0.009999999776482582 0.07000000029802322 0.009999999776482582 1.7200000286102295 36.29399871826172 0.0
4.0 25.40850067138672 36.284000396728516 4.760000228881836 4.013000011444092 0.019999999552965164 0.12999999523162842 0.019999999552965164 1.850000023841858 36.292999267578125 0.0
5.0 25.407899856567383 36.282501220703125 4.670000076293945 5.52400016784668 0.009999999776482582 0.05999999865889549 0.009999999776482582 1.6299999952316284 36.29399871826172 0.0
5.0 25.40839958190918 36.28260040283203 4.679999828338623 5.019999980926514 0.009999999776482582 0.05999999865889549 0.009999999776482582 1.6299999952316284 36.29499816894531 0.0
6.0 25.4064998626709 36.28369903564453 4.590000152587891 6.53000020980835 0.14000000059604645 0.1599999964237213 0.029999999329447746 2.1600000858306885 36.25199890136719 0.0
6.0 25.406999588012695 36.281700134277344 4.739999771118164 6.0269999504089355 0.009999999776482582 0.019999999552965164 0.009999999776482582 1.6799999475479126 36.297000885009766 0.0
7.0 25.40220069885254 36.28459930419922 3.390000104904175 7.5370001792907715 0.07000000029802322 7.150000095367432 0.4300000071525574 5.389999866485596 36.33399963378906 0.0
7.0 25.40329933166504 36.284400939941406 4.260000228881836 7.033999919891357 0.27000001072883606 0.30000001192092896 0.07000000029802322 2.549999952316284 36.3129997253418 0.0
8.0 25.402799606323242 36.2849006652832 2.880000114440918 8.543999671936035 0.009999999776482582 16.530000686645508 0.9700000286102295 8.149999618530273 35.99100112915039 0.0
8.0 25.40290069580078 36.284698486328125 2.9000000953674316 8.039999961853027 0.019999999552965164 13.699999809265137 0.7799999713897705 6.699999809265137 36.23500061035156 0.0
9.0 25.402599334716797 36.28459930419922 2.809999942779541 9.04699993133545 0.009999999776482582 18.110000610351562 1.0800000429153442 9.329999923706055 35.86800003051758 0.0
9.0 25.402700424194336 36.2848014831543 2.7899999618530273 9.550999641418457 0.009999999776482582 19.3700008392334 1.159999966621399 10.119999885559082 35.768001556396484 0.0
10.0 25.402599334716797 36.285099029541016 10.053999900817871 0.0
10.0 25.40290069580078 36.285301208496094 10.557000160217285 0.0
11.0 25.403200149536133 36.285499572753906 11.564000129699707 0.0
11.0 25.403400421142578 36.285499572753906 11.060999870300293 0.0
12.0 25.40290069580078 36.285701751708984 12.067999839782715 0.0
12.0 25.402999877929688 36.28580093383789 12.571000099182129 0.0
13.0 25.403600692749023 36.2859001159668 13.57800006866455 0.0
13.0 25.406200408935547 36.28580093383789 13.074000358581543 0.0
14.0 25.402299880981445 36.28219985961914 14.585000038146973 0.0
14.0 25.403200149536133 36.285701751708984 14.081000328063965 0.0
15.0 25.408300399780273 36.285400390625 15.088000297546387 0.0
15.0 25.410200119018555 36.285301208496094 15.590999603271484 0.0
16.0 25.410499572753906 36.2859992980957 16.597999572753906 0.0
16.0 25.410600662231445 36.28559875488281 16.094999313354492 0.0
17.0 25.411399841308594 36.28609848022461 17.101999282836914 0.0
17.0 25.411699295043945 36.285701751708984 17.604999542236328 0.0
18.0 25.41119956970215 36.285400390625 18.107999801635742 0.0
18.0 25.41119956970215 36.285701751708984 18.61199951171875 0.0
19.0 25.40999984741211 36.28580093383789 19.618999481201172 0.0
19.0 25.41069984436035 36.28580093383789 19.114999771118164 0.0
20.0 25.40999984741211 36.28580093383789 20.121999740600586 0.0
20.0 25.41029930114746 36.285499572753906 20.625 0.0
21.0 25.41069984436035 36.285301208496094 21.128999710083008 0.0
21.0 25.410999298095703 36.285400390625 21.631999969482422 0.0
22.0 25.41160011291504 36.285701751708984 22.638999938964844 0.0
22.0 25.41200065612793 36.285701751708984 22.13599967956543 0.0
23.0 25.411800384521484 36.285701751708984 23.142000198364258 0.0
23.0 25.411800384521484 36.28580093383789 23.645999908447266 0.0
24.0 25.411399841308594 36.28580093383789 24.652999877929688 0.0
24.0 25.411699295043945 36.285701751708984 24.14900016784668 0.0
25.0 25.41080093383789 36.285499572753906 25.1560001373291 0.0
25.0 25.41119956970215 36.28559875488281 25.65999984741211 0.0
26.0 25.41200065612793 36.2859001159668 26.163000106811523 0.0
26.0 25.412500381469727 36.2859992980957 26.666000366210938 0.0
27.0 25.412700653076172 36.28580093383789 27.67300033569336 0.0
27.0 25.412900924682617 36.2859001159668 27.170000076293945 0.0
28.0 25.41309928894043 36.2859001159668 28.177000045776367 0.0
28.0 25.41309928894043 36.2859001159668 28.68000030517578 0.0
29.0 25.412700653076172 36.2859001159668 29.18400001525879 0.0
29.0 25.412700653076172 36.2859992980957 29.687000274658203 0.0
30.0 25.413000106811523 36.28580093383789 30.190000534057617 0.0
30.0 25.41320037841797 36.28580093383789 30.694000244140625 0.0
31.0 25.413000106811523 36.28580093383789 31.19700050354004 0.0
31.0 25.413400650024414 36.2859001159668 31.701000213623047 0.0
32.0 25.413000106811523 36.28609848022461 32.70800018310547 0.0
32.0 25.413700103759766 36.28609848022461 32.20399856567383 0.0
33.0 25.412500381469727 36.28609848022461 33.71500015258789 0.0
33.0 25.413000106811523 36.28609848022461 33.21099853515625 0.0
34.0 25.41360092163086 36.28620147705078 34.21799850463867 0.0
34.0 25.415199279785156 36.28620147705078 34.72100067138672 0.0
35.0 25.416099548339844 36.28630065917969 35.224998474121094 0.0
35.0 25.416099548339844 36.286399841308594 35.72800064086914 0.0
36.0 25.41469955444336 36.28620147705078 36.231998443603516 0.0
36.0 25.415000915527344 36.28620147705078 36.73500061035156 0.0
37.0 25.412500381469727 36.28620147705078 37.742000579833984 0.0
37.0 25.41360092163086 36.2859992980957 37.23899841308594 0.0
38.0 25.414499282836914 36.28630065917969 38.24599838256836 0.0
38.0 25.414499282836914 36.286399841308594 38.749000549316406 0.0
39.0 25.413299560546875 36.286598205566406 39.75600051879883 0.0
39.0 25.413700103759766 36.286399841308594 39.25299835205078 0.0
40.0 25.412399291992188 36.28620147705078 40.76300048828125 0.0
40.0 25.413700103759766 36.286399841308594 40.25899887084961 0.0
41.0 25.411500930786133 36.286598205566406 41.77000045776367 0.0
41.0 25.41160011291504 36.28630065917969 41.26599884033203 0.0
42.0 25.41189956665039 36.28670120239258 42.27299880981445 0.0
42.0 25.412200927734375 36.28670120239258 42.777000427246094 0.0
43.0 25.412200927734375 36.28670120239258 43.279998779296875 0.0
43.0 25.413000106811523 36.286598205566406 43.784000396728516 0.0
44.0 25.412500381469727 36.286598205566406 44.79100036621094 0.0
44.0 25.41309928894043 36.2864990234375 44.2869987487793 0.0
45.0 25.410499572753906 36.2864990234375 45.79800033569336 0.0
45.0 25.412200927734375 36.2864990234375 45.29399871826172 0.0
46.0 25.408100128173828 36.2864990234375 46.80500030517578 0.0
46.0 25.408899307250977 36.2864990234375 46.30099868774414 0.0
47.0 25.405099868774414 36.286800384521484 47.81100082397461 0.0
47.0 25.40690040588379 36.286598205566406 47.30799865722656 0.0
48.0 25.404399871826172 36.28670120239258 48.314998626708984 0.0
48.0 25.404499053955078 36.286800384521484 48.81800079345703 0.0
49.0 25.400800704956055 36.28689956665039 49.82500076293945 0.0
49.0 25.403900146484375 36.286800384521484 49.321998596191406 0.0
50.0 25.395299911499023 36.28770065307617 50.832000732421875 0.0
50.0 25.40019989013672 36.2869987487793 50.32899856567383 0.0
51.0 25.39459991455078 36.287899017333984 51.33599853515625 0.0
51.0 25.39459991455078 36.287899017333984 51.8390007019043 0.0
52.0 25.393600463867188 36.287899017333984 52.34299850463867 0.0
52.0 25.393800735473633 36.288299560546875 52.84600067138672 0.0
53.0 25.3843994140625 36.28900146484375 53.85300064086914 0.0
53.0 25.392000198364258 36.28839874267578 53.349998474121094 0.0
54.0 25.372900009155273 36.28950119018555 54.86000061035156 0.0
54.0 25.38409996032715 36.28900146484375 54.356998443603516 0.0
55.0 25.360599517822266 36.29010009765625 55.867000579833984 0.0
55.0 25.363500595092773 36.29010009765625 55.36399841308594 0.0
56.0 25.35219955444336 36.29059982299805 56.874000549316406 0.0
56.0 25.354900360107422 36.290401458740234 56.37099838256836 0.0
57.0 25.33049964904785 36.29119873046875 57.88100051879883 0.0
57.0 25.33839988708496 36.29079818725586 57.37799835205078 0.0
58.0 25.3169002532959 36.291500091552734 58.88800048828125 0.0
58.0 25.323400497436523 36.29130172729492 58.3849983215332 0.0
59.0 25.309799194335938 36.292198181152344 59.89500045776367 0.0
59.0 25.312299728393555 36.291900634765625 59.391998291015625 0.0
60.0 25.28019905090332 36.29130172729492 60.902000427246094 0.0
60.0 25.30120086669922 36.292198181152344 60.39899826049805 0.0
61.0 25.259700775146484 36.290401458740234 61.909000396728516 0.0
61.0 25.266000747680664 36.29059982299805 61.40599822998047 0.0
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63.0 25.22610092163086 36.289100646972656 63.92300033569336 0.0
63.0 25.231300354003906 36.28919982910156 63.41999816894531 0.0
64.0 25.21540069580078 36.28839874267578 64.93000030517578 0.0
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65.0 25.19059944152832 36.28559875488281 65.93699645996094 0.0
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240.0 13.960599899291992 35.80830001831055 242.24600219726562 0.0
240.0 13.973699569702148 35.81060028076172 241.74200439453125 0.0
241.0 13.947999954223633 35.80649948120117 243.25399780273438 0.0
241.0 13.951299667358398 35.80690002441406 242.75 0.0
242.0 13.88659954071045 35.796600341796875 244.26100158691406 0.0
242.0 13.92199993133545 35.801700592041016 243.75799560546875 0.0
243.0 13.812899589538574 35.785499572753906 245.2689971923828 0.0
243.0 13.84119987487793 35.78929901123047 244.76499938964844 0.0
244.0 13.813799858093262 35.78580093383789 246.27699279785156 0.0
244.0 13.81410026550293 35.785701751708984 245.7729949951172 0.0
245.0 13.808600425720215 35.78499984741211 247.28500366210938 0.0
245.0 13.814800262451172 35.785701751708984 246.781005859375 0.0
246.0 13.8056001663208 35.78419876098633 248.29299926757812 0.0
246.0 13.806400299072266 35.7848014831543 247.78900146484375 0.0
247.0 13.797300338745117 35.782901763916016 249.30099487304688 0.0
247.0 13.79889965057373 35.78340148925781 248.7969970703125 0.0
248.0 13.793600082397461 35.782100677490234 250.3090057373047 0.0
248.0 13.793700218200684 35.78219985961914 249.80499267578125 0.0
249.0 13.795599937438965 35.78239822387695 251.31700134277344 0.0
249.0 13.796699523925781 35.782798767089844 250.81300354003906 0.0
250.0 13.788000106811523 35.78129959106445 252.3249969482422 0.0
250.0 13.789999961853027 35.781700134277344 251.8209991455078 0.0
251.0 13.777000427246094 35.77920150756836 253.33299255371094 0.0
251.0 13.785300254821777 35.780399322509766 252.82899475097656 0.0
252.0 13.775400161743164 35.77909851074219 253.83700561523438 0.0
252.0 13.775799751281738 35.77920150756836 254.34100341796875 0.0
253.0 13.752900123596191 35.775299072265625 255.3489990234375 0.0
253.0 13.756699562072754 35.77579879760742 254.84500122070312 0.0
254.0 13.748100280761719 35.77429962158203 256.35699462890625 0.0
254.0 13.752099990844727 35.77510070800781 255.85299682617188 0.0
255.0 13.729499816894531 35.77130126953125 257.364990234375 0.0
255.0 13.739399909973145 35.772701263427734 256.8609924316406 0.0
256.0 13.727999687194824 35.77109909057617 258.37298583984375 0.0
256.0 13.729100227355957 35.77109909057617 257.8689880371094 0.0
257.0 13.722700119018555 35.76900100708008 259.3810119628906 0.0
257.0 13.725199699401855 35.77040100097656 258.87701416015625 0.0
258.0 13.722100257873535 35.769901275634766 260.3890075683594 0.0
258.0 13.722800254821777 35.77009963989258 259.885009765625 0.0
259.0 13.71560001373291 35.76890182495117 261.3970031738281 0.0
259.0 13.71660041809082 35.769100189208984 260.89300537109375 0.0
260.0 13.716400146484375 35.76839828491211 261.9010009765625 0.0

In total, there are 513 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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