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Dataset Title:  "Deepwater CTD - 92g0705g.ctd.nc - 26.59N, -94.91W - 1992-06-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_92g0705g_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: 727)
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   726 options
    temperature ?  =  degree_C   726 options
    salinity ?  =  PSU   628 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   2 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   10 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

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
3.0 29.01930046081543 35.63019943237305 4.559999942779541 -99.0 0.800000011920929 0.009999999776482582 1.7999999523162842 -99.0 0.0
4.0 29.005399703979492 35.630001068115234 4.739999771118164 -99.0 0.30000001192092896 0.009999999776482582 1.0 -99.0 0.0
5.0 28.995399475097656 35.629600524902344 5.050000190734863 -99.0 0.10000000149011612 0.009999999776482582 0.6000000238418579 -99.0 0.0
6.0 28.972700119018555 35.62919998168945 4.949999809265137 -99.0 0.10000000149011612 0.009999999776482582 0.30000001192092896 -99.0 0.0
7.0 28.890300750732422 35.62200164794922 4.820000171661377 -99.0 0.10000000149011612 0.009999999776482582 0.20000000298023224 -99.0 0.0
8.0 28.718700408935547 35.62300109863281 4.769999980926514 -99.0 0.30000001192092896 0.019999999552965164 0.0 -99.0 0.0
9.0 28.62070083618164 35.64120101928711 4.670000076293945 -99.0 0.5 0.029999999329447746 0.0 -99.0 0.0
10.0 28.65690040588379 35.76300048828125 4.380000114440918 -99.0 1.399999976158142 0.11999999731779099 0.30000001192092896 -99.0 0.0
11.0 28.825899124145508 35.966800689697266 4.21999979019165 -99.0 2.299999952316284 0.1899999976158142 0.6000000238418579 -99.0 0.0
12.0 28.946800231933594 36.088600158691406 3.2300000190734863 -99.0 6.900000095367432 0.44999998807907104 1.7000000476837158 -99.0 0.0
13.0 28.97719955444336 36.117801666259766 2.9600000381469727 -99.0 10.600000381469727 0.6499999761581421 2.5999999046325684 -99.0 0.0
14.0 29.01289939880371 36.1599006652832 2.9800000190734863 -99.0 14.300000190734863 0.8799999952316284 4.0 -99.0 0.0
15.0 29.09869956970215 36.28770065307617 0.0
16.0 29.07069969177246 36.334999084472656 0.0
17.0 28.886600494384766 36.344200134277344 0.0
18.0 28.78260040283203 36.340301513671875 0.0
19.0 28.7367000579834 36.32939910888672 0.0
20.0 28.663299560546875 36.31740188598633 0.0
21.0 28.50149917602539 36.30379867553711 0.0
22.0 28.20560073852539 36.25659942626953 0.0
23.0 27.92729949951172 36.22520065307617 0.0
24.0 27.567899703979492 36.175899505615234 0.0
25.0 26.974300384521484 36.16320037841797 0.0
26.0 26.915599822998047 36.11899948120117 0.0
27.0 26.464799880981445 36.14250183105469 0.0
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31.0 25.9335994720459 36.15620040893555 0.0
32.0 26.03499984741211 36.18119812011719 0.0
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39.0 25.37030029296875 36.35810089111328 0.0
41.0 25.043500900268555 36.34479904174805 0.0
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43.0 24.84269905090332 36.32400131225586 0.0
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870.0 6.207799911499023 34.899600982666016 0.0
871.0 6.201499938964844 34.899898529052734 0.0
873.0 6.19320011138916 34.90060043334961 0.0
874.0 6.188199996948242 34.90010070800781 0.0
875.0 6.182300090789795 34.900299072265625 0.0
877.0 6.173999786376953 34.90039825439453 0.0
878.0 6.172800064086914 34.900299072265625 1.0
880.0 6.171299934387207 34.900299072265625 1.0
881.0 6.164400100708008 34.90060043334961 1.0
882.0 6.154900074005127 34.90039825439453 0.0
884.0 6.13730001449585 34.90039825439453 0.0
885.0 6.126100063323975 34.900699615478516 0.0
886.0 6.122499942779541 34.90010070800781 0.0
888.0 6.110300064086914 34.90019989013672 0.0
889.0 6.102099895477295 34.89970016479492 0.0
891.0 6.093100070953369 34.900001525878906 0.0
892.0 6.084000110626221 34.89899826049805 0.0
893.0 6.073599815368652 34.899200439453125 0.0
895.0 6.039899826049805 34.898799896240234 0.0
896.0 6.032100200653076 34.89950180053711 0.0
898.0 6.024899959564209 34.899898529052734 0.0
899.0 6.0258002281188965 34.899600982666016 0.0
900.0 6.021299839019775 34.89899826049805 0.0
901.0 6.009399890899658 34.89889907836914 0.0
903.0 5.980800151824951 34.899200439453125 0.0
904.0 5.973999977111816 34.89929962158203 0.0
906.0 5.95989990234375 34.898799896240234 0.0
907.0 5.957799911499023 34.898799896240234 0.0
909.0 5.945000171661377 34.898399353027344 0.0
910.0 5.9328999519348145 34.90010070800781 0.0
911.0 5.927999973297119 34.89939880371094 0.0
913.0 5.913000106811523 34.89939880371094 0.0
914.0 5.901500225067139 34.900001525878906 0.0
916.0 5.887199878692627 34.90010070800781 0.0
917.0 5.880300045013428 34.9005012512207 0.0
918.0 5.870699882507324 34.900901794433594 0.0
920.0 5.855100154876709 34.9005012512207 0.0
921.0 5.8480000495910645 34.90079879760742 0.0
922.0 5.8404998779296875 34.90079879760742 0.0
924.0 5.828000068664551 34.90060043334961 0.0
925.0 5.820199966430664 34.9005012512207 0.0
927.0 5.803299903869629 34.900901794433594 0.0
928.0 5.7895002365112305 34.90169906616211 0.0
929.0 5.772299766540527 34.90190124511719 0.0
931.0 5.75 34.90420150756836 1.0
932.0 5.748499870300293 34.902400970458984 0.0
934.0 5.743800163269043 34.9025993347168 0.0
935.0 5.744100093841553 34.9015007019043 0.0
936.0 5.736999988555908 34.902099609375 0.0
938.0 5.72599983215332 34.90250015258789 0.0
939.0 5.722899913787842 34.90250015258789 0.0
941.0 5.713399887084961 34.90290069580078 0.0
942.0 5.706600189208984 34.902801513671875 0.0
943.0 5.702000141143799 34.90330123901367 0.0
945.0 5.696899890899658 34.902400970458984 0.0
946.0 5.692699909210205 34.903099060058594 0.0
948.0 5.688300132751465 34.90330123901367 0.0
949.0 5.686999797821045 34.90330123901367 0.0
950.0 5.685800075531006 34.90330123901367 0.0
952.0 5.677999973297119 34.9031982421875 0.0
953.0 5.667900085449219 34.90370178222656 0.0
955.0 5.651700019836426 34.90420150756836 0.0
956.0 5.643199920654297 34.90439987182617 0.0
957.0 5.63539981842041 34.904701232910156 0.0
959.0 5.623000144958496 34.90510177612305 0.0
960.0 5.6203999519348145 34.90520095825195 0.0
961.0 5.618500232696533 34.90530014038086 0.0
963.0 5.614799976348877 34.90530014038086 0.0
964.0 5.611999988555908 34.905399322509766 0.0
966.0 5.604000091552734 34.905399322509766 0.0
967.0 5.593800067901611 34.90549850463867 0.0
968.0 5.583899974822998 34.90620040893555 0.0
970.0 5.572199821472168 34.90650177001953 0.0
971.0 5.569399833679199 34.90629959106445 0.0
972.0 5.561299800872803 34.90639877319336 0.0
974.0 5.543099880218506 34.90739822387695 0.0
975.0 5.536900043487549 34.90739822387695 0.0
976.0 5.529200077056885 34.907501220703125 0.0
977.0 5.520899772644043 34.907798767089844 0.0
979.0 5.507800102233887 34.90850067138672 0.0
980.0 5.503200054168701 34.90829849243164 0.0
981.0 5.4980998039245605 34.90850067138672 0.0
982.0 5.492099761962891 34.908599853515625 0.0
983.0 5.486100196838379 34.909000396728516 0.0
984.0 5.4832000732421875 34.90890121459961 0.0
985.0 5.478499889373779 34.90909957885742 0.0
987.0 5.467800140380859 34.9093017578125 0.0
988.0 5.458799839019775 34.909400939941406 0.0
989.0 5.451300144195557 34.910099029541016 0.0
990.0 5.447000026702881 34.910099029541016 0.0
991.0 5.444900035858154 34.90909957885742 0.0
992.0 5.42710018157959 34.910099029541016 0.0
993.0 5.422599792480469 34.91059875488281 0.0
994.0 5.417699813842773 34.91109848022461 0.0
995.0 5.411399841308594 34.91109848022461 0.0
996.0 5.406899929046631 34.91120147705078 0.0
997.0 5.403800010681152 34.91120147705078 0.0
998.0 5.39900016784668 34.9109992980957 0.0
999.0 5.389599800109863 34.9114990234375 0.0
1000.0 5.387199878692627 34.911598205566406 0.0
1000.0 5.387199878692627 34.93159866333008 1.0

In total, there are 727 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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