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Dataset Title:  "Deepwater CTD - 93g0104a.ctd.nc - 27.5N, -95.83W - 1993-01-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g0104a_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: 276)
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   276 options
    temperature ?  =  degree_C   275 options
    salinity ?  =  PSU   268 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   2 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   12 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 22.09510040283203 35.32979965209961 4.559999942779541 -99.0 0.10000000149011612 0.009999999776482582 1.100000023841858 -99.0 0.0
3.0 22.0935001373291 35.330101013183594 4.539999961853027 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
4.0 22.09429931640625 35.3291015625 4.75 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
5.0 22.098600387573242 35.33000183105469 5.039999961853027 -99.0 0.10000000149011612 1.600000023841858 0.05999999865889549 -99.0 0.0
6.0 22.116300582885742 35.329498291015625 5.070000171661377 -99.0 0.10000000149011612 0.009999999776482582 1.7999999523162842 -99.0 0.0
7.0 22.118000030517578 35.329898834228516 4.980000019073486 -99.0 0.30000001192092896 0.03999999910593033 2.299999952316284 -99.0 0.0
8.0 22.116500854492188 35.33330154418945 4.849999904632568 -99.0 0.20000000298023224 0.029999999329447746 0.0 -99.0 0.0
10.0 22.17639923095703 35.35649871826172 2.990000009536743 -99.0 14.699999809265137 0.8899999856948853 3.799999952316284 -99.0 0.0
11.0 22.157800674438477 35.35020065307617 2.5899999141693115 -99.0 29.299999237060547 1.850000023841858 17.399999618530273 -99.0 0.0
13.0 22.180999755859375 35.36040115356445 2.9200000762939453 -99.0 32.099998474121094 2.119999885559082 23.5 -99.0 0.0
14.0 22.20800018310547 35.369998931884766 4.429999828338623 -99.0 27.5 1.8300000429153442 28.5 -99.0 0.0
17.0 22.23240089416504 35.38130187988281 4.860000133514404 -99.0 24.799999237060547 1.559999942779541 27.100000381469727 -99.0 0.0
18.0 22.266399383544922 35.39310073852539 0.0
20.0 22.274700164794922 35.39699935913086 0.0
21.0 22.283599853515625 35.402198791503906 0.0
22.0 22.390899658203125 35.44969940185547 0.0
23.0 22.394899368286133 35.44850158691406 0.0
25.0 22.406299591064453 35.453399658203125 0.0
26.0 22.40239906311035 35.45349884033203 0.0
27.0 22.41010093688965 35.457000732421875 0.0
28.0 22.33060073852539 35.42490005493164 0.0
30.0 21.103099822998047 35.032501220703125 0.0
31.0 20.915300369262695 35.042701721191406 0.0
32.0 20.844200134277344 35.04399871826172 0.0
33.0 20.91550064086914 35.10599899291992 0.0
34.0 20.87540054321289 35.12900161743164 0.0
35.0 20.913700103759766 35.147098541259766 0.0
36.0 20.93950080871582 35.1593017578125 0.0
37.0 20.9685001373291 35.172000885009766 0.0
39.0 21.0039005279541 35.18669891357422 0.0
40.0 21.064599990844727 35.219600677490234 0.0
41.0 21.11590003967285 35.23749923706055 0.0
42.0 21.16349983215332 35.25619888305664 0.0
43.0 21.18470001220703 35.26380157470703 0.0
44.0 21.238500595092773 35.284698486328125 0.0
45.0 21.268999099731445 35.297401428222656 0.0
46.0 21.313499450683594 35.315799713134766 0.0
47.0 21.40690040588379 35.36159896850586 0.0
49.0 21.56760025024414 35.42789840698242 0.0
50.0 21.5487003326416 35.4286994934082 0.0
51.0 21.770599365234375 35.54209899902344 0.0
52.0 21.89889907836914 35.595699310302734 0.0
54.0 22.154800415039062 35.705299377441406 0.0
55.0 22.236600875854492 35.73820114135742 0.0
56.0 22.116899490356445 35.68659973144531 0.0
57.0 22.3346004486084 35.81549835205078 0.0
58.0 22.40489959716797 35.80929946899414 0.0
59.0 22.359899520874023 35.79779815673828 0.0
60.0 22.359399795532227 35.79819869995117 0.0
61.0 22.360300064086914 35.799198150634766 0.0
62.0 22.36079978942871 35.801300048828125 0.0
63.0 22.389299392700195 35.81930160522461 0.0
65.0 22.480199813842773 35.862998962402344 0.0
66.0 22.492300033569336 35.87220001220703 0.0
67.0 22.482500076293945 35.867698669433594 0.0
68.0 22.40089988708496 35.851200103759766 0.0
69.0 22.235000610351562 35.81079864501953 0.0
70.0 22.09939956665039 35.77830123901367 0.0
71.0 22.047500610351562 35.77090072631836 0.0
72.0 21.987699508666992 35.75360107421875 0.0
73.0 21.938899993896484 35.73849868774414 0.0
74.0 21.86009979248047 35.71289825439453 0.0
75.0 21.654600143432617 35.647300720214844 0.0
76.0 21.397600173950195 35.56520080566406 0.0
78.0 20.810300827026367 35.41939926147461 0.0
79.0 20.91320037841797 35.4370002746582 0.0
80.0 20.894899368286133 35.429100036621094 0.0
82.0 20.886199951171875 35.4275016784668 0.0
83.0 20.888999938964844 35.4281005859375 0.0
84.0 20.922399520874023 35.445098876953125 0.0
85.0 20.981000900268555 35.473201751708984 0.0
86.0 21.49139976501465 35.742698669433594 0.0
87.0 21.661399841308594 35.80039978027344 0.0
88.0 21.764400482177734 35.84830093383789 0.0
89.0 21.837799072265625 35.88159942626953 0.0
90.0 21.861400604248047 35.894798278808594 0.0
91.0 21.830400466918945 35.89939880371094 0.0
93.0 21.736299514770508 35.900299072265625 0.0
94.0 21.71489906311035 35.89759826660156 0.0
95.0 21.670799255371094 35.890098571777344 0.0
96.0 21.597299575805664 35.87879943847656 0.0
98.0 21.5093994140625 35.865501403808594 0.0
99.0 21.497400283813477 35.86690139770508 0.0
100.0 21.505599975585938 35.86970138549805 0.0
101.0 21.519899368286133 35.89970016479492 0.0
102.0 21.649900436401367 36.03219985961914 0.0
103.0 21.679800033569336 36.057899475097656 0.0
104.0 21.657100677490234 36.080101013183594 0.0
105.0 21.585899353027344 36.08399963378906 0.0
106.0 21.407400131225586 36.082298278808594 0.0
108.0 21.142499923706055 36.08620071411133 0.0
109.0 21.06220054626465 36.069801330566406 0.0
110.0 20.962200164794922 36.07820129394531 0.0
111.0 20.98889923095703 36.100799560546875 0.0
112.0 21.006099700927734 36.157798767089844 0.0
113.0 20.987600326538086 36.185298919677734 0.0
114.0 20.9778995513916 36.207000732421875 0.0
115.0 20.947500228881836 36.224700927734375 0.0
116.0 20.917600631713867 36.23780059814453 0.0
117.0 20.872900009155273 36.24800109863281 0.0
118.0 20.727800369262695 36.2755012512207 0.0
119.0 20.67140007019043 36.28630065917969 0.0
121.0 20.577199935913086 36.3130989074707 0.0
122.0 20.540800094604492 36.31850051879883 0.0
123.0 20.475500106811523 36.32600021362305 0.0
125.0 20.34670066833496 36.33420181274414 0.0
126.0 20.303499221801758 36.34230041503906 0.0
127.0 20.2455997467041 36.347198486328125 0.0
128.0 20.33679962158203 36.3385009765625 0.0
129.0 20.299699783325195 36.311100006103516 0.0
130.0 19.94540023803711 36.34590148925781 0.0
131.0 19.888200759887695 36.336299896240234 0.0
133.0 19.643800735473633 36.334999084472656 0.0
134.0 19.770099639892578 36.34130096435547 0.0
135.0 19.883800506591797 36.30509948730469 0.0
136.0 19.264999389648438 36.317901611328125 0.0
138.0 18.934900283813477 36.31529998779297 0.0
139.0 18.82539939880371 36.317501068115234 0.0
140.0 18.62969970703125 36.317100524902344 0.0
141.0 18.6072998046875 36.32339859008789 0.0
142.0 18.560199737548828 36.2942008972168 0.0
144.0 17.763599395751953 36.26580047607422 0.0
145.0 17.555400848388672 36.24800109863281 0.0
147.0 17.252599716186523 36.241798400878906 0.0
148.0 17.76099967956543 36.25400161743164 0.0
149.0 17.3262996673584 36.201499938964844 0.0
150.0 16.853300094604492 36.188499450683594 0.0
152.0 16.520700454711914 36.168399810791016 0.0
153.0 16.409900665283203 36.15230178833008 0.0
155.0 16.458499908447266 36.165000915527344 0.0
156.0 16.16189956665039 36.11069869995117 0.0
157.0 15.896100044250488 36.08810043334961 0.0
158.0 15.667200088500977 36.0526008605957 0.0
160.0 15.343400001525879 36.02949905395508 0.0
161.0 15.260299682617188 36.003700256347656 0.0
162.0 15.316900253295898 35.96369934082031 0.0
163.0 14.987600326538086 35.95500183105469 0.0
164.0 14.880200386047363 35.95069885253906 0.0
165.0 14.798399925231934 35.93619918823242 0.0
166.0 14.724499702453613 35.92290115356445 0.0
168.0 14.656299591064453 35.910099029541016 0.0
169.0 14.579899787902832 35.89630126953125 0.0
170.0 14.491299629211426 35.88180160522461 0.0
171.0 14.428899765014648 35.871498107910156 0.0
172.0 14.34469985961914 35.85960006713867 0.0
173.0 14.271900177001953 35.85089874267578 0.0
175.0 14.096199989318848 35.82749938964844 0.0
176.0 14.078399658203125 35.82609939575195 0.0
177.0 14.020299911499023 35.81209945678711 0.0
178.0 13.958499908447266 35.80110168457031 0.0
179.0 13.922800064086914 35.79679870605469 0.0
180.0 13.82509994506836 35.78409957885742 0.0
182.0 13.687800407409668 35.76300048828125 0.0
183.0 13.629500389099121 35.75450134277344 0.0
185.0 13.555999755859375 35.74440002441406 0.0
186.0 13.679200172424316 35.75920104980469 0.0
187.0 13.428799629211426 35.714698791503906 0.0
189.0 13.241600036621094 35.70000076293945 0.0
191.0 13.20930004119873 35.69309997558594 0.0
194.0 13.151100158691406 35.67359924316406 0.0
196.0 12.974699974060059 35.65340042114258 0.0
198.0 12.79580020904541 35.62839889526367 0.0
199.0 12.75879955291748 35.62919998168945 1.0
200.0 12.856900215148926 35.63130187988281 0.0
201.0 12.53339958190918 35.57889938354492 0.0
202.0 12.531800270080566 35.58430099487305 0.0
203.0 12.46720027923584 35.57320022583008 0.0
205.0 12.345199584960938 35.55220031738281 0.0
207.0 12.232000350952148 35.54169845581055 0.0
208.0 12.224800109863281 35.53369903564453 0.0
209.0 12.13640022277832 35.52090072631836 0.0
210.0 12.09529972076416 35.515098571777344 0.0
212.0 12.04640007019043 35.509498596191406 0.0
214.0 12.03380012512207 35.506900787353516 0.0
215.0 12.029899597167969 35.504398345947266 0.0
216.0 12.010100364685059 35.501800537109375 0.0
218.0 11.93280029296875 35.48929977416992 0.0
220.0 11.888199806213379 35.48590087890625 0.0
221.0 11.886799812316895 35.482398986816406 0.0
222.0 11.818900108337402 35.47330093383789 0.0
223.0 11.814499855041504 35.47330093383789 0.0
224.0 11.802200317382812 35.470401763916016 0.0
225.0 11.782500267028809 35.46699905395508 0.0
226.0 11.755900382995605 35.46289825439453 0.0
228.0 11.692099571228027 35.451900482177734 0.0
229.0 11.637900352478027 35.44649887084961 0.0
230.0 11.628399848937988 35.44490051269531 0.0
231.0 11.594099998474121 35.433998107910156 0.0
232.0 11.540399551391602 35.43239974975586 0.0
233.0 11.535799980163574 35.43119812011719 0.0
235.0 11.525799751281738 35.429901123046875 0.0
236.0 11.522299766540527 35.4286003112793 0.0
237.0 11.515899658203125 35.427101135253906 0.0
238.0 11.502099990844727 35.42490005493164 0.0
239.0 11.498900413513184 35.42399978637695 0.0
240.0 11.496100425720215 35.423500061035156 0.0
242.0 11.49209976196289 35.422401428222656 0.0
243.0 11.489399909973145 35.42169952392578 0.0
244.0 11.477399826049805 35.419498443603516 0.0
245.0 11.461400032043457 35.417598724365234 0.0
247.0 11.407600402832031 35.40800094604492 0.0
248.0 11.35509967803955 35.401100158691406 0.0
249.0 11.32129955291748 35.39720153808594 0.0
251.0 11.264100074768066 35.38959884643555 0.0
253.0 11.223400115966797 35.3843994140625 0.0
255.0 11.221400260925293 35.380001068115234 0.0
257.0 11.09749984741211 35.365299224853516 0.0
259.0 11.095800399780273 35.36650085449219 0.0
260.0 11.088600158691406 35.3651008605957 0.0
261.0 11.100899696350098 35.36520004272461 0.0
262.0 11.081500053405762 35.361900329589844 0.0
264.0 11.055100440979004 35.35860061645508 0.0
266.0 11.04170036315918 35.357398986816406 0.0
267.0 11.04419994354248 35.356201171875 0.0
268.0 11.04170036315918 35.35540008544922 0.0
269.0 11.027000427246094 35.35350036621094 0.0
271.0 11.00160026550293 35.349998474121094 0.0
273.0 10.984399795532227 35.34859848022461 0.0
274.0 10.987099647521973 35.34809875488281 0.0
275.0 10.989299774169922 35.34749984741211 0.0
276.0 10.970199584960938 35.34469985961914 0.0
277.0 10.961799621582031 35.34400177001953 0.0
278.0 10.956299781799316 35.34299850463867 0.0
280.0 10.943499565124512 35.3401985168457 0.0
281.0 10.908499717712402 35.334598541259766 0.0
282.0 10.887200355529785 35.33290100097656 0.0
283.0 10.867500305175781 35.3302001953125 0.0
284.0 10.851400375366211 35.32830047607422 0.0
285.0 10.84000015258789 35.32699966430664 0.0
286.0 10.833999633789062 35.32590103149414 0.0
288.0 10.819100379943848 35.324100494384766 0.0
289.0 10.817399978637695 35.32379913330078 0.0
291.0 10.812199592590332 35.32270050048828 0.0
292.0 10.807100296020508 35.3218994140625 0.0
293.0 10.803799629211426 35.32109832763672 0.0
295.0 10.796099662780762 35.31990051269531 0.0
296.0 10.791299819946289 35.31949996948242 0.0
298.0 10.785300254821777 35.318199157714844 0.0
299.0 10.777899742126465 35.31629943847656 0.0
300.0 10.610400199890137 35.292301177978516 0.0
302.0 10.522100448608398 35.283599853515625 0.0
303.0 10.526700019836426 35.28459930419922 0.0
305.0 10.520899772644043 35.28300094604492 0.0
306.0 10.521900177001953 35.28239822387695 0.0
307.0 10.506999969482422 35.28049850463867 0.0
309.0 10.50059986114502 35.279598236083984 0.0
310.0 10.5024995803833 35.27989959716797 0.0
312.0 10.502699851989746 35.279598236083984 0.0
313.0 10.501999855041504 35.278900146484375 0.0
314.0 10.49470043182373 35.2776985168457 0.0
316.0 10.482399940490723 35.2765007019043 0.0
317.0 10.48069953918457 35.276100158691406 0.0
319.0 10.476499557495117 35.275299072265625 0.0
320.0 10.468899726867676 35.27399826049805 0.0
321.0 10.46660041809082 35.27399826049805 0.0
322.0 10.458800315856934 35.27239990234375 0.0
323.0 10.452099800109863 35.27180099487305 0.0
324.0 10.446599960327148 35.27069854736328 0.0
326.0 10.427399635314941 35.2681999206543 0.0
327.0 10.425800323486328 35.2677001953125 0.0
328.0 10.418800354003906 35.2671012878418 0.0
329.0 10.406900405883789 35.26539993286133 0.0
330.0 10.40530014038086 35.26530075073242 0.0
332.0 10.402799606323242 35.26530075073242 0.0
333.0 10.401300430297852 35.26470184326172 0.0
334.0 10.395600318908691 35.26340103149414 0.0
335.0 10.395099639892578 35.263999938964844 0.0
336.0 10.396900177001953 35.264198303222656 0.0
337.0 10.398200035095215 35.264400482177734 0.0
338.0 10.407400131225586 35.26530075073242 0.0
339.0 10.413100242614746 35.26580047607422 0.0
340.0 10.401700019836426 35.26340103149414 0.0
341.0 10.371700286865234 35.258201599121094 0.0
342.0 10.325799942016602 35.25379943847656 0.0
343.0 10.293600082397461 35.250701904296875 0.0
344.0 10.284500122070312 35.24769973754883 0.0

In total, there are 276 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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