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Dataset Title:  "Deepwater CTD - 94g0826.ctd.nc - 28.61N, -89.94W - 1994-10-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0826_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: 289)
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   289 options
    temperature ?  =  degree_C   289 options
    salinity ?  =  PSU   287 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   9 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
1.0 25.79199981689453 32.9193000793457 4.947000026702881 0.019999999552965164 0.10000000149011612 0.10000000149011612 2.200000047683716 -99.0 0.0
2.0 25.857500076293945 33.17679977416992 4.980000019073486 0.009999999776482582 0.0 0.07000000029802322 1.600000023841858 -99.0 0.0
3.0 25.805299758911133 32.95500183105469 3.2699999809265137 0.019999999552965164 9.5 0.6000000238418579 6.099999904632568 -99.0 0.0
4.0 25.819599151611328 33.01409912109375 3.0429999828338623 0.009999999776482582 17.299999237060547 1.0700000524520874 7.900000095367432 -99.0 0.0
5.0 26.028900146484375 33.82569885253906 3.242000102996826 0.019999999552965164 17.200000762939453 1.0800000429153442 8.699999809265137 -99.0 0.0
6.0 26.23110008239746 34.28960037231445 2.9700000286102295 0.009999999776482582 22.0 1.4199999570846558 11.399999618530273 -99.0 0.0
7.0 26.493900299072266 34.50450134277344 2.984999895095825 0.019999999552965164 22.0 1.4299999475479126 11.399999618530273 -99.0 0.0
8.0 26.837200164794922 34.934600830078125 2.9030001163482666 0.019999999552965164 25.899999618530273 1.7200000286102295 15.600000381469727 -99.0 0.0
9.0 27.0216007232666 35.182701110839844 2.8910000324249268 0.029999999329447746 26.100000381469727 1.7200000286102295 15.5 -99.0 0.0
10.0 26.996200561523438 35.180301666259766 0.0
11.0 27.005699157714844 35.2677001953125 0.0
12.0 27.02050018310547 35.3838005065918 0.0
13.0 27.047300338745117 35.49700164794922 0.0
14.0 27.06060028076172 35.535499572753906 0.0
15.0 27.083499908447266 35.592899322509766 0.0
16.0 27.081199645996094 35.58319854736328 0.0
17.0 27.13279914855957 35.687198638916016 0.0
18.0 27.1658992767334 35.74409866333008 0.0
19.0 27.153799057006836 35.773399353027344 0.0
20.0 27.139799118041992 35.77799987792969 0.0
21.0 27.108999252319336 35.79079818725586 0.0
22.0 27.05929946899414 35.81060028076172 0.0
23.0 27.033199310302734 35.81159973144531 0.0
24.0 27.005599975585938 35.81880187988281 0.0
25.0 26.985700607299805 35.82400131225586 0.0
26.0 26.958599090576172 35.8306999206543 0.0
27.0 26.93549919128418 35.838199615478516 0.0
28.0 26.958099365234375 35.86249923706055 0.0
29.0 26.910200119018555 35.87950134277344 0.0
30.0 26.901100158691406 35.88050079345703 0.0
31.0 26.884199142456055 35.88529968261719 0.0
32.0 26.885099411010742 35.891300201416016 0.0
33.0 26.89189910888672 35.89720153808594 0.0
34.0 26.881799697875977 35.90549850463867 0.0
35.0 26.89780044555664 35.9296989440918 0.0
36.0 26.89889907836914 35.9379997253418 0.0
37.0 26.90049934387207 35.94369888305664 0.0
38.0 26.90250015258789 35.95479965209961 0.0
39.0 26.887800216674805 35.968101501464844 0.0
40.0 26.86870002746582 35.977500915527344 0.0
41.0 26.858600616455078 35.97999954223633 0.0
42.0 26.855199813842773 35.984100341796875 0.0
43.0 26.838300704956055 35.982200622558594 0.0
44.0 26.829599380493164 35.982601165771484 0.0
45.0 26.819900512695312 35.98509979248047 0.0
46.0 26.810199737548828 35.986698150634766 0.0
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48.0 26.65959930419922 36.03310012817383 0.0
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50.0 26.163400650024414 36.18629837036133 0.0
51.0 25.861400604248047 36.229000091552734 0.0
52.0 25.487699508666992 36.25550079345703 0.0
53.0 25.160900115966797 36.26750183105469 0.0
54.0 24.369699478149414 36.29499816894531 0.0
55.0 23.745399475097656 36.32609939575195 0.0
56.0 23.334999084472656 36.3474006652832 0.0
57.0 23.196699142456055 36.35129928588867 0.0
58.0 23.145000457763672 36.35100173950195 0.0
59.0 22.924999237060547 36.360198974609375 0.0
60.0 22.59939956665039 36.379798889160156 0.0
61.0 22.338199615478516 36.394100189208984 0.0
62.0 22.21419906616211 36.39569854736328 0.0
63.0 21.976900100708008 36.3922004699707 0.0
64.0 21.81439971923828 36.3932991027832 0.0
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67.0 21.443700790405273 36.4025993347168 0.0
68.0 21.349199295043945 36.40850067138672 0.0
69.0 21.097000122070312 36.41899871826172 0.0
70.0 20.914499282836914 36.43170166015625 0.0
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89.0 18.479999542236328 36.39820098876953 0.0
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94.0 18.083900451660156 36.36069869995117 0.0
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104.0 17.425800323486328 36.33449935913086 0.0
105.0 17.392900466918945 36.328800201416016 0.0
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188.0 15.025799751281738 35.96739959716797 0.0
189.0 15.007699966430664 35.96419906616211 0.0
190.0 14.995100021362305 35.96229934692383 0.0
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192.0 14.974499702453613 35.95830154418945 0.0
193.0 14.941300392150879 35.953800201416016 0.0
194.0 14.9306001663208 35.95119857788086 0.0
195.0 14.909899711608887 35.947601318359375 0.0
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197.0 14.87559986114502 35.94200134277344 0.0
198.0 14.850899696350098 35.938201904296875 0.0
199.0 14.819000244140625 35.933799743652344 0.0
200.0 14.780099868774414 35.928001403808594 0.0
201.0 14.762900352478027 35.924598693847656 0.0
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203.0 14.728400230407715 35.9192008972168 0.0
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208.0 14.52180004119873 35.88840103149414 0.0
209.0 14.505900382995605 35.88460159301758 0.0
210.0 14.468799591064453 35.878700256347656 0.0
211.0 14.442899703979492 35.87459945678711 0.0
212.0 14.424400329589844 35.871700286865234 0.0
213.0 14.396400451660156 35.8672981262207 0.0
214.0 14.328800201416016 35.857601165771484 0.0
215.0 14.277899742126465 35.84939956665039 0.0
216.0 14.25059986114502 35.845298767089844 0.0
217.0 14.223400115966797 35.84090042114258 0.0
218.0 14.189299583435059 35.835201263427734 0.0
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220.0 14.105400085449219 35.82270050048828 0.0
221.0 14.073699951171875 35.81610107421875 0.0
222.0 14.039400100708008 35.81129837036133 0.0
223.0 14.001199722290039 35.80670166015625 0.0
224.0 13.95989990234375 35.799198150634766 0.0
225.0 13.892800331115723 35.78950119018555 0.0
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228.0 13.818400382995605 35.7755012512207 0.0
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230.0 13.7608003616333 35.766998291015625 0.0
231.0 13.739999771118164 35.76359939575195 0.0
232.0 13.702199935913086 35.758201599121094 0.0
233.0 13.659299850463867 35.75270080566406 0.0
234.0 13.644200325012207 35.7484016418457 0.0
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244.0 13.448599815368652 35.717098236083984 0.0
245.0 13.434200286865234 35.71419906616211 0.0
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249.0 13.386099815368652 35.706199645996094 0.0
250.0 13.371899604797363 35.703800201416016 0.0
251.0 13.356300354003906 35.70130157470703 0.0
252.0 13.297300338745117 35.69309997558594 0.0
253.0 13.282899856567383 35.690399169921875 0.0
254.0 13.247200012207031 35.68519973754883 0.0
255.0 13.229900360107422 35.68190002441406 0.0
256.0 13.222800254821777 35.68090057373047 0.0
257.0 13.214300155639648 35.67919921875 0.0
258.0 13.202199935913086 35.67720031738281 0.0
259.0 13.1943998336792 35.67580032348633 0.0
260.0 13.199700355529785 35.67639923095703 0.0
261.0 13.173399925231934 35.672698974609375 0.0
262.0 13.17020034790039 35.67179870605469 0.0
263.0 13.166099548339844 35.67100143432617 0.0
264.0 13.151100158691406 35.668800354003906 0.0
265.0 13.140199661254883 35.66709899902344 0.0
266.0 13.132499694824219 35.66569900512695 0.0
267.0 13.12559986114502 35.66429901123047 0.0
268.0 13.051799774169922 35.654598236083984 0.0
269.0 12.992400169372559 35.64649963378906 0.0
270.0 13.033699989318848 35.64979934692383 0.0
271.0 12.983099937438965 35.6432991027832 0.0
272.0 12.970399856567383 35.64080047607422 0.0
273.0 12.95259952545166 35.63779830932617 0.0
274.0 12.940999984741211 35.635799407958984 0.0
275.0 12.924200057983398 35.63290023803711 0.0
276.0 12.912400245666504 35.63090133666992 0.0
277.0 12.89009952545166 35.627601623535156 0.0
278.0 12.88129997253418 35.62540054321289 0.0
279.0 12.872400283813477 35.62409973144531 0.0
280.0 12.857099533081055 35.62200164794922 0.0
281.0 12.832500457763672 35.61840057373047 0.0
282.0 12.809599876403809 35.6151008605957 0.0
283.0 12.796899795532227 35.61309814453125 0.0
284.0 12.783300399780273 35.61090087890625 0.0
285.0 12.77649974822998 35.60960006713867 0.0
286.0 12.767600059509277 35.60810089111328 0.0
287.0 12.76609992980957 35.60810089111328 0.0
288.0 12.765999794006348 35.608001708984375 0.0
289.0 12.766300201416016 35.6078987121582 0.0

In total, there are 289 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
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