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Dataset Title:  "Deepwater CTD - 94g0529.ctd.nc - 27.21N, -91.02W - 1994-07-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0529_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: 2155)
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   821 options
    temperature ?  =  degree_C   2127 options
    salinity ?  =  PSU   1629 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   13 options
    silicate ?  =  micromols per liter   13 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
2.0 30.329299926757812 29.043399810791016 4.734000205993652 0.019999999552965164 0.20000000298023224 0.019999999552965164 0.0 -99.0 0.0
2.0 30.341100692749023 29.0314998626709 5.047999858856201 0.009999999776482582 0.20000000298023224 0.009999999776482582 0.5 -99.0 0.0
2.0 30.361000061035156 28.95639991760254 5.080999851226807 0.03999999910593033 0.20000000298023224 0.029999999329447746 0.699999988079071 -99.0 0.0
3.0 30.30940055847168 29.24329948425293 3.0199999809265137 0.009999999776482582 14.399999618530273 0.8199999928474426 4.900000095367432 -99.0 0.0
3.0 30.326099395751953 29.038400650024414 3.243000030517578 0.019999999552965164 11.300000190734863 0.5899999737739563 3.799999952316284 -99.0 0.0
3.0 30.38360023498535 28.787599563598633 4.679999828338623 0.17000000178813934 0.800000011920929 0.10000000149011612 2.299999952316284 -99.0 0.0
3.0 30.387300491333008 28.76020050048828 4.343999862670898 0.05000000074505806 3.0 0.18000000715255737 1.899999976158142 -99.0 0.0
3.0 30.405000686645508 28.69849967956543 3.5390000343322754 0.029999999329447746 8.5 0.44999998807907104 3.200000047683716 -99.0 0.0
4.0 30.144699096679688 29.96739959716797 2.944000005722046 0.0 17.299999237060547 1.0199999809265137 6.300000190734863 -99.0 0.0
4.0 30.1481990814209 30.132400512695312 2.9730000495910645 0.009999999776482582 18.0 1.0800000429153442 6.699999809265137 -99.0 0.0
4.0 30.18429946899414 29.960899353027344 0.0
4.0 30.185400009155273 29.6830997467041 2.984999895095825 0.0 16.399999618530273 0.9300000071525574 5.800000190734863 -99.0 0.0
4.0 30.230300903320312 29.579500198364258 2.9649999141693115 0.029999999329447746 19.399999618530273 1.1699999570846558 7.5 -99.0 0.0
5.0 30.286800384521484 29.66900062561035 0.0
5.0 30.3257999420166 29.35610008239746 0.0
5.0 30.384300231933594 29.23539924621582 0.0
5.0 30.46430015563965 28.99519920349121 0.0
6.0 30.252700805664062 30.090200424194336 0.0
6.0 30.289499282836914 29.512399673461914 0.0
6.0 30.32469940185547 29.399999618530273 0.0
6.0 30.344900131225586 29.3351993560791 0.0
7.0 30.13360023498535 31.01849937438965 0.0
7.0 30.174299240112305 30.827800750732422 0.0
7.0 30.185199737548828 30.54829978942871 0.0
7.0 30.233699798583984 30.623699188232422 0.0
8.0 29.6643009185791 32.32310104370117 0.0
8.0 29.758899688720703 32.13359832763672 0.0
8.0 29.901199340820312 31.816699981689453 0.0
8.0 30.04960060119629 31.388399124145508 0.0
9.0 29.551300048828125 32.752498626708984 0.0
9.0 29.55780029296875 32.7150993347168 0.0
9.0 29.56570053100586 32.65340042114258 0.0
9.0 29.577499389648438 32.61389923095703 0.0
9.0 29.620100021362305 32.418701171875 0.0
10.0 29.54509925842285 32.82109832763672 0.0
10.0 29.560400009155273 32.91170120239258 0.0
10.0 29.588699340820312 33.018001556396484 0.0
10.0 29.618200302124023 33.10609817504883 0.0
11.0 29.657699584960938 33.21009826660156 0.0
11.0 29.708200454711914 33.52239990234375 0.0
11.0 29.713199615478516 33.331298828125 0.0
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12.0 29.691699981689453 33.64039993286133 0.0
13.0 29.29050064086914 34.03409957885742 0.0
13.0 29.333200454711914 34.008399963378906 0.0
13.0 29.36280059814453 33.911800384521484 0.0
13.0 29.38450050354004 33.97549819946289 0.0
14.0 29.214500427246094 34.180599212646484 0.0
14.0 29.246700286865234 34.165401458740234 0.0
14.0 29.265899658203125 34.12289810180664 0.0
14.0 29.27400016784668 34.07609939575195 0.0
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352.0 10.820899963378906 35.33100128173828 0.0
353.0 10.73639965057373 35.31990051269531 0.0
353.0 10.773599624633789 35.32310104370117 0.0
353.0 10.79699993133545 35.32740020751953 0.0
354.0 10.709699630737305 35.316001892089844 0.0
354.0 10.72439956665039 35.31829833984375 0.0
355.0 10.6899995803833 35.31269836425781 0.0
355.0 10.703200340270996 35.31439971923828 0.0
356.0 10.641500473022461 35.305301666259766 0.0
356.0 10.665399551391602 35.310001373291016 0.0
356.0 10.673500061035156 35.30979919433594 0.0
357.0 10.630599975585938 35.303001403808594 0.0
357.0 10.640700340270996 35.30540084838867 0.0
358.0 10.583700180053711 35.297000885009766 0.0
358.0 10.603699684143066 35.299400329589844 0.0
358.0 10.615400314331055 35.30120086669922 0.0
359.0 10.546199798583984 35.29359817504883 0.0
359.0 10.549599647521973 35.292999267578125 0.0
359.0 10.561300277709961 35.2943000793457 0.0
360.0 10.499099731445312 35.28670120239258 0.0
360.0 10.519399642944336 35.289798736572266 0.0
361.0 10.46500015258789 35.28200149536133 0.0
361.0 10.475000381469727 35.28379821777344 0.0
362.0 10.421500205993652 35.2765007019043 0.0
362.0 10.437800407409668 35.27870178222656 0.0
362.0 10.457099914550781 35.280601501464844 0.0
363.0 10.386500358581543 35.27149963378906 0.0
363.0 10.392800331115723 35.272499084472656 0.0
363.0 10.4197998046875 35.27579879760742 0.0
364.0 10.35830020904541 35.266300201416016 0.0
364.0 10.368200302124023 35.26839828491211 0.0
365.0 10.348999977111816 35.263301849365234 0.0
365.0 10.355600357055664 35.26570129394531 0.0
366.0 10.345199584960938 35.263099670410156 0.0
366.0 10.347399711608887 35.26390075683594 0.0
366.0 10.348799705505371 35.26340103149414 0.0
367.0 10.342599868774414 35.26190185546875 0.0

In total, there are 2155 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 1155 rows aren't being shown.
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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