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Dataset Title:  "Deepwater CTD - 88g0546d.ctd.nc - 27.0N, -96.25W - 1988-10-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0546d_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: 95)
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   95 options
    temperature ?  =  degree_C   95 options
    salinity ?  =  PSU   94 options
    oxygen ?  =  milliliters per liter   20 options
    nitrite ?  =  micromols per liter   5 options
    nitrate ?  =  micromols   14 options
    phosphate ?  =  micromols per liter   16 options
    silicate ?  =  micromols per liter   16 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
5.0 26.59950065612793 36.22169876098633 4.7220001220703125 0.10000000149011612 -99.0 0.019999999552965164 1.0 -99.0 0.0
10.0 26.567899703979492 36.21419906616211 4.754000186920166 0.10000000149011612 -99.0 0.019999999552965164 1.399999976158142 -99.0 0.0
15.0 26.53030014038086 36.22949981689453 4.901000022888184 0.10000000149011612 -99.0 0.009999999776482582 1.5 -99.0 0.0
20.0 26.52050018310547 36.35020065307617 4.730999946594238 0.10000000149011612 -99.0 0.009999999776482582 1.2999999523162842 -99.0 0.0
25.0 26.50830078125 36.4119987487793 4.697999954223633 0.10000000149011612 -99.0 0.009999999776482582 1.0 -99.0 0.0
30.0 26.466899871826172 36.42660140991211 4.52400016784668 0.20000000298023224 -99.0 0.05000000074505806 1.5 -99.0 0.0
35.0 26.419200897216797 36.43220138549805 4.815000057220459 0.20000000298023224 -99.0 0.019999999552965164 1.0 -99.0 0.0
40.0 26.337400436401367 36.43320083618164 4.109000205993652 0.20000000298023224 2.409899950027466 0.18000000715255737 3.299999952316284 -99.0 0.0
45.0 26.19540023803711 36.428001403808594 3.9809999465942383 0.30000001192092896 4.109899997711182 0.25 3.299999952316284 -99.0 0.0
50.0 26.018400192260742 36.40959930419922 3.5810000896453857 0.20000000298023224 7.109899997711182 0.3700000047683716 3.4000000953674316 -99.0 0.0
55.0 25.622400283813477 36.38119888305664 2.986999988555908 0.20000000298023224 11.409899711608887 0.5699999928474426 4.400000095367432 -99.0 0.0
60.0 25.24920082092285 36.39580154418945 2.8310000896453857 0.30000001192092896 13.909899711608887 0.7099999785423279 5.599999904632568 -99.0 0.0
65.0 24.93899917602539 36.41780090332031 2.809000015258789 0.20000000298023224 16.509899139404297 0.8799999952316284 7.099999904632568 -99.0 0.0
70.0 24.591999053955078 36.404701232910156 2.686000108718872 0.30000001192092896 19.109899520874023 1.0399999618530273 8.199999809265137 -99.0 0.0
75.0 24.261499404907227 36.39400100708008 2.569999933242798 0.30000001192092896 22.509899139404297 1.2699999809265137 10.300000190734863 -99.0 0.0
80.0 23.8125 36.37200164794922 2.50600004196167 0.10000000149011612 25.20989990234375 1.4299999475479126 13.100000381469727 -99.0 0.0
85.0 23.302900314331055 36.36970138549805 2.4719998836517334 0.30000001192092896 27.509899139404297 1.559999942779541 15.5 -99.0 0.0
90.0 22.578500747680664 36.357398986816406 2.6010000705718994 0.699999988079071 29.609899520874023 1.6799999475479126 17.399999618530273 -99.0 0.0
95.0 21.78860092163086 36.35350036621094 2.490000009536743 0.30000001192092896 31.109899520874023 1.7699999809265137 19.5 -99.0 0.0
100.0 21.182300567626953 36.39739990234375 0.0
105.0 20.354000091552734 36.37799835205078 0.0
110.0 19.608600616455078 36.381900787353516 0.0
115.0 19.24970054626465 36.37329864501953 0.0
120.0 18.90410041809082 36.397701263427734 0.0
125.0 18.6914005279541 36.400299072265625 0.0
130.0 18.549999237060547 36.385101318359375 0.0
135.0 18.234800338745117 36.34349822998047 0.0
140.0 18.03580093383789 36.34510040283203 0.0
145.0 17.893999099731445 36.323001861572266 0.0
150.0 17.70199966430664 36.29130172729492 0.0
155.0 17.348499298095703 36.22779846191406 0.0
160.0 16.90089988708496 36.17610168457031 0.0
165.0 16.641599655151367 36.15019989013672 0.0
170.0 16.36910057067871 36.11899948120117 0.0
175.0 16.07710075378418 36.05820083618164 1.0
180.0 15.69849967956543 36.01499938964844 0.0
185.0 15.50220012664795 36.00830078125 0.0
190.0 15.342700004577637 35.987998962402344 0.0
195.0 15.205699920654297 35.95249938964844 0.0
200.0 14.954000473022461 35.9276008605957 0.0
205.0 14.858200073242188 35.92290115356445 0.0
210.0 14.72089958190918 35.8838005065918 0.0
215.0 14.515899658203125 35.85449981689453 0.0
220.0 14.37559986114502 35.84560012817383 0.0
225.0 14.17140007019043 35.79779815673828 0.0
230.0 13.929200172424316 35.75400161743164 0.0
235.0 13.70199966430664 35.73320007324219 0.0
240.0 13.537300109863281 35.72119903564453 0.0
245.0 13.3725004196167 35.68830108642578 0.0
250.0 13.214799880981445 35.66469955444336 0.0
255.0 13.072099685668945 35.64670181274414 0.0
260.0 12.982600212097168 35.641998291015625 0.0
265.0 12.886300086975098 35.618900299072266 0.0
270.0 12.779899597167969 35.60240173339844 0.0
275.0 12.607099533081055 35.564300537109375 0.0
280.0 12.439000129699707 35.550201416015625 0.0
285.0 12.362799644470215 35.53879928588867 0.0
290.0 12.242899894714355 35.522098541259766 0.0
295.0 12.114500045776367 35.50450134277344 0.0
300.0 12.02869987487793 35.49829864501953 0.0
305.0 11.914199829101562 35.470001220703125 0.0
310.0 11.806400299072266 35.457298278808594 0.0
315.0 11.7076997756958 35.434898376464844 0.0
320.0 11.60770034790039 35.42959976196289 0.0
325.0 11.536199569702148 35.412200927734375 0.0
330.0 11.438699722290039 35.4109001159668 0.0
335.0 11.364800453186035 35.397499084472656 0.0
340.0 11.271499633789062 35.3661994934082 0.0
345.0 11.104299545288086 35.349098205566406 0.0
350.0 10.97029972076416 35.328800201416016 0.0
355.0 10.85200023651123 35.31829833984375 0.0
360.0 10.727999687194824 35.29410171508789 0.0
365.0 10.582300186157227 35.28519821166992 0.0
370.0 10.505000114440918 35.26729965209961 0.0
375.0 10.38379955291748 35.238399505615234 0.0
380.0 10.277400016784668 35.2411994934082 0.0
385.0 10.214400291442871 35.23139953613281 0.0
390.0 10.116299629211426 35.20940017700195 0.0
395.0 10.029800415039062 35.20690155029297 0.0
400.0 9.962400436401367 35.19150161743164 0.0
405.0 9.854900360107422 35.17879867553711 0.0
410.0 9.746700286865234 35.16659927368164 0.0
415.0 9.6983003616333 35.1682014465332 0.0
420.0 9.654800415039062 35.158199310302734 0.0
425.0 9.600799560546875 35.14849853515625 0.0
430.0 9.479499816894531 35.122798919677734 0.0
435.0 9.403300285339355 35.115501403808594 0.0
440.0 9.315299987792969 35.11259841918945 0.0
445.0 9.184100151062012 35.090599060058594 0.0
450.0 9.1181001663208 35.09379959106445 0.0
455.0 9.082099914550781 35.096099853515625 0.0
460.0 9.06760025024414 35.097900390625 0.0
465.0 9.06309986114502 35.09880065917969 0.0
470.0 9.06029987335205 35.097900390625 0.0
475.0 9.057900428771973 35.0974006652832 0.0

In total, there are 95 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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