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Dataset Title:  "Deepwater CTD - d93g222.ctd.nc - 26.14N, -96.33W - 1993-11-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g222_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: 432)
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   217 options
    temperature ?  =  degree_C   405 options
    salinity ?  =  PSU   369 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   432 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   9 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
2.0 24.096099853515625 35.737701416015625 4.880000114440918 2.5169999599456787 0.0 0.12999999523162842 0.019999999552965164 2.8399999141693115 35.750999450683594 0.0
3.0 24.095800399780273 35.73820114135742 4.820000171661377 3.5239999294281006 0.009999999776482582 0.10999999940395355 0.019999999552965164 2.4000000953674316 35.74700164794922 0.0
3.0 24.09630012512207 35.73809814453125 4.809999942779541 3.0199999809265137 0.009999999776482582 0.18000000715255737 0.009999999776482582 2.5399999618530273 35.75 0.0
4.0 24.094600677490234 35.73860168457031 4.78000020980835 4.53000020980835 0.0 0.07000000029802322 0.019999999552965164 2.2699999809265137 35.981998443603516 0.0
4.0 24.09589958190918 35.73860168457031 4.809999942779541 4.0269999504089355 0.009999999776482582 0.09000000357627869 0.019999999552965164 2.450000047683716 35.78300094604492 0.0
5.0 24.092199325561523 35.739200592041016 4.75 5.033999919891357 0.07000000029802322 0.17000000178813934 0.019999999552965164 2.4000000953674316 36.03200149536133 0.0
5.0 24.0939998626709 35.738800048828125 4.559999942779541 5.5370001792907715 0.10999999940395355 0.5699999928474426 0.03999999910593033 2.5299999713897705 36.17399978637695 0.0
6.0 24.094499588012695 35.738800048828125 4.170000076293945 6.039999961853027 0.09000000357627869 1.7999999523162842 0.12999999523162842 3.7799999713897705 36.229000091552734 0.0
6.0 24.09600067138672 35.73830032348633 2.680000066757202 6.544000148773193 0.019999999552965164 10.100000381469727 0.6000000238418579 6.349999904632568 36.402000427246094 0.0
7.0 24.095800399780273 35.73910140991211 2.7899999618530273 7.551000118255615 0.019999999552965164 13.869999885559082 0.7699999809265137 5.909999847412109 36.29899978637695 0.0
7.0 24.096500396728516 35.73849868774414 2.7300000190734863 7.046999931335449 0.019999999552965164 10.770000457763672 0.6299999952316284 6.300000190734863 36.402000427246094 0.0
8.0 24.094900131225586 35.73910140991211 8.557000160217285 0.0
8.0 24.095500946044922 35.73889923095703 2.880000114440918 8.053999900817871 0.009999999776482582 17.940000534057617 1.0199999809265137 7.650000095367432 35.91600036621094 0.0
9.0 24.095699310302734 35.73939895629883 9.564000129699707 0.0
9.0 24.095699310302734 35.73970031738281 9.060999870300293 0.0
10.0 24.095800399780273 35.73849868774414 10.067999839782715 0.0
10.0 24.09600067138672 35.73830032348633 10.571000099182129 0.0
11.0 24.096099853515625 35.73860168457031 11.074000358581543 0.0
11.0 24.097700119018555 35.739498138427734 11.57800006866455 0.0
12.0 24.100299835205078 35.74369812011719 12.081000328063965 0.0
12.0 24.105100631713867 35.74850082397461 12.585000038146973 0.0
13.0 24.111000061035156 35.75600051879883 13.088000297546387 0.0
13.0 24.115299224853516 35.75790023803711 13.590999603271484 0.0
14.0 24.09280014038086 35.740501403808594 14.095000267028809 0.0
14.0 24.102399826049805 35.75130081176758 14.597999572753906 0.0
15.0 24.100500106811523 35.74720001220703 15.10200023651123 0.0
15.0 24.107500076293945 35.753299713134766 15.604999542236328 0.0
16.0 24.117799758911133 35.75920104980469 16.107999801635742 0.0
16.0 24.11870002746582 35.75790023803711 16.61199951171875 0.0
17.0 24.117399215698242 35.7578010559082 17.618999481201172 0.0
17.0 24.117700576782227 35.7588996887207 17.114999771118164 0.0
18.0 24.12339973449707 35.762699127197266 18.121999740600586 0.0
18.0 24.127199172973633 35.76530075073242 18.625 0.0
19.0 24.12339973449707 35.76129913330078 19.128999710083008 0.0
19.0 24.131200790405273 35.769500732421875 19.631999969482422 0.0
20.0 24.124900817871094 35.76190185546875 20.638999938964844 0.0
20.0 24.13050079345703 35.7681999206543 20.13599967956543 0.0
21.0 24.12339973449707 35.760799407958984 21.142000198364258 0.0
21.0 24.12350082397461 35.76089859008789 21.645999908447266 0.0
22.0 24.12470054626465 35.76169967651367 22.652999877929688 0.0
22.0 24.12470054626465 35.762001037597656 22.14900016784668 0.0
23.0 24.124099731445312 35.76089859008789 23.1560001373291 0.0
23.0 24.125200271606445 35.76179885864258 23.65999984741211 0.0
24.0 24.125200271606445 35.76169967651367 24.163000106811523 0.0
24.0 24.126100540161133 35.76179885864258 24.666000366210938 0.0
25.0 24.124300003051758 35.760101318359375 25.67300033569336 0.0
25.0 24.125200271606445 35.76089859008789 25.170000076293945 0.0
26.0 24.123899459838867 35.760501861572266 26.177000045776367 0.0
26.0 24.124500274658203 35.76100158691406 26.68000030517578 0.0
27.0 24.12339973449707 35.759700775146484 27.18400001525879 0.0
27.0 24.12380027770996 35.7598991394043 27.687000274658203 0.0
28.0 24.119800567626953 35.753700256347656 28.694000244140625 0.0
28.0 24.12420082092285 35.7599983215332 28.190000534057617 0.0
29.0 24.12030029296875 35.75410079956055 29.701000213623047 0.0
29.0 24.121400833129883 35.75590133666992 29.19700050354004 0.0
30.0 24.118000030517578 35.74980163574219 30.20400047302246 0.0
30.0 24.118000030517578 35.7504997253418 30.70800018310547 0.0
31.0 24.115800857543945 35.748199462890625 31.71500015258789 0.0
31.0 24.11639976501465 35.74879837036133 31.211000442504883 0.0
32.0 24.117300033569336 35.75019836425781 32.21799850463867 0.0
32.0 24.11910057067871 35.75149917602539 32.72100067138672 0.0
33.0 24.121599197387695 35.75410079956055 33.224998474121094 0.0
33.0 24.12380027770996 35.75790023803711 33.72800064086914 0.0
34.0 24.1210994720459 35.75279998779297 34.73500061035156 0.0
34.0 24.12649917602539 35.761199951171875 34.231998443603516 0.0
35.0 24.122699737548828 35.754798889160156 35.23899841308594 0.0
35.0 24.15290069580078 35.79690170288086 35.742000579833984 0.0
36.0 24.215999603271484 35.86370086669922 36.24599838256836 0.0
36.0 24.23900032043457 35.889198303222656 36.749000549316406 0.0
37.0 24.248899459838867 35.904998779296875 37.25299835205078 0.0
37.0 24.264799118041992 35.92639923095703 37.75600051879883 0.0
38.0 24.268999099731445 35.93410110473633 38.25899887084961 0.0
38.0 24.28019905090332 35.9536018371582 38.76300048828125 0.0
39.0 24.29319953918457 35.97460174560547 39.26599884033203 0.0
39.0 24.29800033569336 35.97959899902344 39.77000045776367 0.0
40.0 24.298500061035156 35.980899810791016 40.27299880981445 0.0
40.0 24.30030059814453 35.985599517822266 40.777000427246094 0.0
41.0 24.307300567626953 35.996700286865234 41.279998779296875 0.0
41.0 24.31089973449707 36.000099182128906 41.784000396728516 0.0
42.0 24.313400268554688 36.005699157714844 42.2869987487793 0.0
42.0 24.31410026550293 36.008399963378906 42.79100036621094 0.0
43.0 24.314599990844727 36.01029968261719 43.79800033569336 0.0
43.0 24.314800262451172 36.00920104980469 43.29399871826172 0.0
44.0 24.312700271606445 36.010501861572266 44.80500030517578 0.0
44.0 24.313400268554688 36.010398864746094 44.30099868774414 0.0
45.0 24.313199996948242 36.01110076904297 45.30799865722656 0.0
45.0 24.313400268554688 36.01110076904297 45.81100082397461 0.0
46.0 24.313600540161133 36.01110076904297 46.314998626708984 0.0
46.0 24.31559944152832 36.018798828125 46.81800079345703 0.0
47.0 24.310300827026367 36.02859878540039 47.82500076293945 0.0
47.0 24.31529998779297 36.02629852294922 47.321998596191406 0.0
48.0 24.30739974975586 36.032798767089844 48.832000732421875 0.0
48.0 24.307600021362305 36.03200149536133 48.32899856567383 0.0
49.0 24.307600021362305 36.033199310302734 49.33599853515625 0.0
49.0 24.307899475097656 36.03710174560547 49.8390007019043 0.0
50.0 24.3075008392334 36.043399810791016 50.34299850463867 0.0
50.0 24.307600021362305 36.04389953613281 50.84600067138672 0.0
51.0 24.307600021362305 36.045101165771484 51.349998474121094 0.0
51.0 24.30780029296875 36.0453987121582 51.85300064086914 0.0
52.0 24.307899475097656 36.0453987121582 52.356998443603516 0.0
52.0 24.308300018310547 36.05289840698242 52.86000061035156 0.0
53.0 24.314199447631836 36.09000015258789 53.36399841308594 0.0
53.0 24.33139991760254 36.11920166015625 53.867000579833984 0.0
54.0 24.334800720214844 36.14189910888672 54.874000549316406 0.0
54.0 24.341999053955078 36.13570022583008 54.37099838256836 0.0
55.0 24.32859992980957 36.147098541259766 55.88100051879883 0.0
55.0 24.331899642944336 36.1442985534668 55.37799835205078 0.0
56.0 24.30769920349121 36.158599853515625 56.88800048828125 0.0
56.0 24.316200256347656 36.154701232910156 56.3849983215332 0.0
57.0 24.295700073242188 36.158199310302734 57.89500045776367 0.0
57.0 24.298200607299805 36.15700149536133 57.391998291015625 0.0
58.0 24.300399780273438 36.160400390625 58.39899826049805 0.0
58.0 24.302099227905273 36.1609992980957 58.902000427246094 0.0
59.0 24.300399780273438 36.16419982910156 59.909000396728516 0.0
59.0 24.303300857543945 36.162200927734375 59.40599822998047 0.0
60.0 24.273099899291992 36.16460037231445 60.91600036621094 0.0
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61.0 24.24530029296875 36.170101165771484 61.92300033569336 0.0
61.0 24.26650047302246 36.16529846191406 61.41999816894531 0.0
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63.0 23.87470054626465 36.20610046386719 63.9370002746582 0.0
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212.0 14.663999557495117 35.9203987121582 213.53799438476562 0.0
212.0 14.665200233459473 35.9202995300293 214.04200744628906 0.0
213.0 14.661700248718262 35.91939926147461 214.54600524902344 0.0
213.0 14.663100242614746 35.91960144042969 215.0500030517578 0.0
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214.0 14.663200378417969 35.919700622558594 215.55299377441406 0.0
215.0 14.649700164794922 35.91709899902344 217.06500244140625 0.0
215.0 14.65060043334961 35.91740036010742 216.56100463867188 0.0
216.0 14.64739990234375 35.91619873046875 218.072998046875 0.0
216.0 14.649900436401367 35.916900634765625 217.56900024414062 0.0
217.0 14.642399787902832 35.91600036621094 219.08099365234375 0.0
217.0 14.643699645996094 35.91619873046875 218.57699584960938 0.0
218.0 14.64169979095459 35.91559982299805 219.5850067138672 0.0

In total, there are 432 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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