GCOOS Metocean: Historical collections
   
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 88g0541d.ctd.nc - 25.67N, -96.25W - 1988-10-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0541d_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: 101)
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   101 options
    temperature ?  =  degree_C   101 options
    salinity ?  =  PSU   101 options
    oxygen ?  =  milliliters per liter   21 options
    nitrite ?  =  micromols per liter   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols per liter   14 options
    silicate ?  =  micromols per liter   16 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
10.0 26.702699661254883 36.52009963989258 4.64900016784668 0.8999999761581421 -99.0 0.009999999776482582 1.2999999523162842 -99.0 0.0
15.0 26.706100463867188 36.458499908447266 4.808000087738037 0.20000000298023224 -99.0 0.009999999776482582 1.2000000476837158 -99.0 0.0
20.0 26.70840072631836 36.447200775146484 4.749000072479248 0.10000000149011612 -99.0 0.009999999776482582 1.2999999523162842 -99.0 0.0
25.0 26.70870018005371 36.44609832763672 4.640999794006348 0.10000000149011612 -99.0 0.029999999329447746 1.600000023841858 -99.0 0.0
30.0 26.710500717163086 36.4453010559082 4.961999893188477 0.20000000298023224 -99.0 0.029999999329447746 1.7000000476837158 -99.0 0.0
35.0 26.709999084472656 36.44540023803711 5.138000011444092 0.4000000059604645 -99.0 0.029999999329447746 1.7000000476837158 -99.0 0.0
40.0 26.70479965209961 36.445499420166016 5.043000221252441 0.20000000298023224 -99.0 0.03999999910593033 1.600000023841858 -99.0 0.0
45.0 26.699800491333008 36.44559860229492 5.311999797821045 0.20000000298023224 -99.0 0.029999999329447746 1.600000023841858 -99.0 0.0
50.0 26.57469940185547 36.45029830932617 4.855999946594238 0.4000000059604645 -99.0 0.03999999910593033 1.5 -99.0 0.0
55.0 26.472000122070312 36.454200744628906 4.426000118255615 0.4000000059604645 -99.0 0.03999999910593033 1.600000023841858 -99.0 0.0
60.0 25.893299102783203 36.45690155029297 4.051000118255615 0.20000000298023224 3.6098999977111816 0.1899999976158142 2.0999999046325684 -99.0 0.0
65.0 25.18560028076172 36.47529983520508 3.191999912261963 0.10000000149011612 9.70989990234375 0.5199999809265137 3.4000000953674316 -99.0 0.0
70.0 24.278099060058594 36.49340057373047 2.8320000171661377 0.10000000149011612 13.70989990234375 0.7599999904632568 4.599999904632568 -99.0 0.0
75.0 23.64109992980957 36.51570129394531 2.8480000495910645 0.10000000149011612 16.609899520874023 0.9599999785423279 6.0 -99.0 0.0
80.0 23.139699935913086 36.50960159301758 2.740999937057495 0.20000000298023224 18.609899520874023 1.100000023841858 7.5 -99.0 0.0
85.0 22.78809928894043 36.513099670410156 2.6500000953674316 0.30000001192092896 21.009899139404297 1.25 9.100000381469727 -99.0 0.0
90.0 22.521099090576172 36.515098571777344 2.561000108718872 0.4000000059604645 24.409900665283203 1.4800000190734863 11.600000381469727 -99.0 0.0
95.0 22.38450050354004 36.51409912109375 2.500999927520752 0.5 26.809900283813477 1.6200000047683716 13.600000381469727 -99.0 0.0
100.0 22.13909912109375 36.51240158081055 2.572000026702881 0.10000000149011612 28.609899520874023 1.7300000190734863 15.399999618530273 -99.0 0.0
105.0 21.871200561523438 36.50239944458008 2.6659998893737793 0.30000001192092896 31.009899139404297 1.9700000286102295 19.399999618530273 -99.0 0.0
110.0 21.632200241088867 36.49610137939453 0.0
115.0 21.327199935913086 36.492801666259766 0.0
120.0 21.036100387573242 36.48970031738281 0.0
125.0 20.718900680541992 36.47129821777344 0.0
130.0 20.49370002746582 36.46260070800781 0.0
135.0 20.109800338745117 36.45899963378906 0.0
140.0 19.90999984741211 36.449501037597656 0.0
145.0 19.70439910888672 36.44499969482422 0.0
150.0 19.456499099731445 36.443199157714844 0.0
155.0 19.08530044555664 36.43280029296875 0.0
160.0 18.54599952697754 36.4119987487793 0.0
165.0 18.22439956665039 36.382598876953125 0.0
170.0 18.030899047851562 36.36370086669922 0.0
175.0 17.75950050354004 36.33509826660156 0.0
180.0 17.42490005493164 36.297698974609375 0.0
185.0 17.19969940185547 36.26409912109375 0.0
190.0 17.018299102783203 36.247100830078125 0.0
195.0 16.739599227905273 36.197898864746094 0.0
200.0 16.251399993896484 36.14739990234375 0.0
205.0 15.912099838256836 36.100101470947266 0.0
210.0 15.839799880981445 36.08110046386719 0.0
215.0 15.657500267028809 36.05419921875 0.0
220.0 15.491600036621094 36.028900146484375 0.0
225.0 15.076000213623047 35.97610092163086 0.0
230.0 14.930500030517578 35.94919967651367 0.0
235.0 14.736900329589844 35.92070007324219 0.0
240.0 14.538999557495117 35.88859939575195 0.0
245.0 14.284700393676758 35.84939956665039 0.0
250.0 14.090100288391113 35.8203010559082 0.0
255.0 13.938199996948242 35.793800354003906 0.0
260.0 13.597900390625 35.74570083618164 0.0
265.0 13.537300109863281 35.7322998046875 0.0
270.0 13.314499855041504 35.69810104370117 0.0
275.0 13.061599731445312 35.65879821777344 0.0
280.0 13.031299591064453 35.65489959716797 0.0
285.0 12.989999771118164 35.64699935913086 0.0
290.0 12.86709976196289 35.62519836425781 0.0
295.0 12.615699768066406 35.58660125732422 0.0
300.0 12.4266996383667 35.55289840698242 0.0
305.0 12.290599822998047 35.53630065917969 0.0
310.0 12.18179988861084 35.5182991027832 0.0
315.0 12.042499542236328 35.50120162963867 0.0
320.0 11.866999626159668 35.476600646972656 0.0
325.0 11.761699676513672 35.45859909057617 0.0
330.0 11.69909954071045 35.44490051269531 0.0
335.0 11.619000434875488 35.429100036621094 0.0
340.0 11.483599662780762 35.40719985961914 0.0
345.0 11.332599639892578 35.39099884033203 0.0
350.0 11.277199745178223 35.38349914550781 0.0
355.0 11.195300102233887 35.36909866333008 0.0
360.0 11.108200073242188 35.364498138427734 0.0
365.0 11.076499938964844 35.35960006713867 0.0
370.0 10.994999885559082 35.33810043334961 0.0
375.0 10.89009952545166 35.32389831542969 0.0
380.0 10.820199966430664 35.31129837036133 0.0
385.0 10.629300117492676 35.279300689697266 0.0
390.0 10.496600151062012 35.2681999206543 0.0
395.0 10.361700057983398 35.23899841308594 0.0
400.0 10.250399589538574 35.24150085449219 0.0
405.0 10.123299598693848 35.21009826660156 0.0
410.0 10.053500175476074 35.21160125732422 0.0
415.0 9.99489974975586 35.201698303222656 0.0
420.0 9.920599937438965 35.18939971923828 0.0
425.0 9.833000183105469 35.1781005859375 0.0
430.0 9.750399589538574 35.171600341796875 0.0
435.0 9.691900253295898 35.16559982299805 0.0
440.0 9.656599998474121 35.15829849243164 0.0
445.0 9.523599624633789 35.137298583984375 0.0
450.0 9.405500411987305 35.12540054321289 0.0
455.0 9.213700294494629 35.10609817504883 0.0
460.0 9.158499717712402 35.10580062866211 0.0
465.0 9.117600440979004 35.097801208496094 0.0
470.0 8.96030044555664 35.0796012878418 0.0
475.0 8.889900207519531 35.07229995727539 0.0
480.0 8.83080005645752 35.06330108642578 0.0
485.0 8.796799659729004 35.06209945678711 0.0
490.0 8.761799812316895 35.05799865722656 0.0
495.0 8.706899642944336 35.051700592041016 0.0
500.0 8.670999526977539 35.04840087890625 0.0
505.0 8.597800254821777 35.03969955444336 0.0
510.0 8.556500434875488 35.03839874267578 0.0

In total, there are 101 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.


 
ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact