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Dataset Title:  "Deepwater CTD - 95g0101.ctd.nc - 27.37N, -90.83W - 1995-02-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_95g0101_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: 702)
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   702 options
    temperature ?  =  degree_C   696 options
    salinity ?  =  PSU   608 options
    oxygen ?  =  milliliters per liter   8 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   11 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
11.0 21.03580093383789 36.1338005065918 -99.0 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
12.0 21.037900924682617 36.13410186767578 4.940000057220459 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
13.0 21.039499282836914 36.1327018737793 -99.0 0.009999999776482582 0.0 0.009999999776482582 1.2000000476837158 -99.0 0.0
14.0 21.03860092163086 36.13349914550781 -99.0 0.019999999552965164 0.0 0.019999999552965164 1.0 -99.0 0.0
15.0 21.037200927734375 36.1338005065918 -99.0 0.10000000149011612 1.7000000476837158 0.09000000357627869 1.600000023841858 -99.0 0.0
16.0 21.03860092163086 36.13529968261719 3.4240000247955322 0.03999999910593033 9.0 0.4099999964237213 3.0999999046325684 -99.0 0.0
17.0 21.04010009765625 36.135398864746094 -99.0 0.019999999552965164 11.100000381469727 0.550000011920929 3.5999999046325684 -99.0 0.0
18.0 21.040800094604492 36.13290023803711 3.2260000705718994 0.009999999776482582 22.0 1.2599999904632568 10.0 -99.0 0.0
20.0 21.03969955444336 36.13309860229492 3.5850000381469727 0.0 30.5 1.8600000143051147 23.200000762939453 -99.0 0.0
21.0 21.038799285888672 36.125301361083984 4.011000156402588 0.009999999776482582 29.700000762939453 1.7999999523162842 24.799999237060547 -99.0 0.0
22.0 21.030799865722656 36.134700775146484 4.333000183105469 0.0 27.700000762939453 1.7400000095367432 25.299999237060547 -99.0 0.0
23.0 21.03260040283203 36.132598876953125 0.0
24.0 21.03339958190918 36.124298095703125 0.0
25.0 21.026500701904297 36.13159942626953 0.0
26.0 21.035999298095703 36.132598876953125 0.0
27.0 21.035200119018555 36.136600494384766 0.0
28.0 21.038999557495117 36.131500244140625 0.0
29.0 21.034500122070312 36.12919998168945 0.0
31.0 21.031600952148438 36.1348991394043 0.0
32.0 21.02280044555664 36.12810134887695 0.0
33.0 21.01059913635254 36.12580108642578 0.0
34.0 21.01180076599121 36.121498107910156 0.0
35.0 21.005699157714844 36.10879898071289 0.0
37.0 20.988800048828125 36.109798431396484 0.0
38.0 20.99209976196289 36.11949920654297 0.0
39.0 20.995399475097656 36.11840057373047 0.0
40.0 20.9950008392334 36.11709976196289 0.0
41.0 20.9950008392334 36.118900299072266 0.0
42.0 20.989500045776367 36.11009979248047 0.0
43.0 20.966400146484375 36.10850143432617 0.0
44.0 20.95560073852539 36.109100341796875 0.0
45.0 20.955900192260742 36.110198974609375 0.0
46.0 20.956899642944336 36.11050033569336 0.0
47.0 20.958499908447266 36.114498138427734 0.0
48.0 20.966800689697266 36.12630081176758 0.0
49.0 20.981599807739258 36.130699157714844 0.0
50.0 21.00830078125 36.15290069580078 0.0
51.0 21.01449966430664 36.15230178833008 0.0
52.0 21.014299392700195 36.15140151977539 0.0
53.0 21.014400482177734 36.1510009765625 0.0
54.0 21.012300491333008 36.14899826049805 0.0
55.0 21.008899688720703 36.14939880371094 0.0
57.0 21.00629997253418 36.144500732421875 0.0
58.0 20.9960994720459 36.14670181274414 0.0
59.0 20.997400283813477 36.14720153808594 0.0
60.0 20.99799919128418 36.147701263427734 0.0
61.0 20.998600006103516 36.14720153808594 0.0
63.0 20.99850082397461 36.14659881591797 0.0
64.0 20.99880027770996 36.14580154418945 0.0
65.0 20.999300003051758 36.14580154418945 0.0
67.0 20.99880027770996 36.14680099487305 0.0
68.0 21.0 36.145999908447266 0.0
69.0 21.000099182128906 36.14419937133789 0.0
71.0 20.997800827026367 36.143798828125 0.0
72.0 20.9950008392334 36.14469909667969 0.0
74.0 20.996700286865234 36.14720153808594 0.0
76.0 20.999500274658203 36.148101806640625 0.0
78.0 21.00079917907715 36.149600982666016 0.0
79.0 21.000499725341797 36.14910125732422 0.0
80.0 21.00119972229004 36.150299072265625 0.0
81.0 20.999500274658203 36.147701263427734 0.0
82.0 20.99720001220703 36.14690017700195 0.0
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85.0 20.991100311279297 36.145599365234375 0.0
86.0 20.990400314331055 36.14950180053711 0.0
87.0 20.99340057373047 36.15449905395508 0.0
88.0 21.004199981689453 36.166500091552734 0.0
89.0 21.013900756835938 36.17169952392578 0.0
90.0 20.96139907836914 36.19969940185547 0.0
91.0 20.697200775146484 36.167598724365234 0.0
92.0 20.385400772094727 36.247398376464844 0.0
93.0 20.13089942932129 36.3390007019043 0.0
94.0 20.0310001373291 36.38330078125 0.0
95.0 19.99049949645996 36.3734016418457 0.0
96.0 19.90999984741211 36.35609817504883 0.0
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103.0 19.49139976501465 36.380001068115234 0.0
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105.0 19.12529945373535 36.354400634765625 0.0
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107.0 18.851299285888672 36.31660079956055 0.0
108.0 18.736000061035156 36.42649841308594 0.0
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111.0 18.72450065612793 36.387699127197266 0.0
112.0 18.679000854492188 36.36050033569336 0.0
114.0 18.532800674438477 36.35319900512695 0.0
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116.0 18.40369987487793 36.367000579833984 0.0
117.0 18.345199584960938 36.37030029296875 0.0
118.0 18.311599731445312 36.349998474121094 0.0
119.0 18.25790023803711 36.349700927734375 0.0
120.0 18.188600540161133 36.320499420166016 0.0
121.0 18.110200881958008 36.31999969482422 0.0
122.0 18.01580047607422 36.33720016479492 0.0
123.0 17.980100631713867 36.338401794433594 0.0
124.0 17.96139907836914 36.33890151977539 0.0
125.0 17.909299850463867 36.298099517822266 0.0
126.0 17.840999603271484 36.31629943847656 0.0
127.0 17.81920051574707 36.33549880981445 0.0
128.0 17.802099227905273 36.328399658203125 0.0
129.0 17.77549934387207 36.3297004699707 0.0
130.0 17.762399673461914 36.312801361083984 0.0
131.0 17.72319984436035 36.28879928588867 0.0
132.0 17.611900329589844 36.26190185546875 0.0
133.0 17.526500701904297 36.2775993347168 0.0
134.0 17.452899932861328 36.28799819946289 0.0
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142.0 17.16320037841797 36.247501373291016 0.0
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149.0 16.743999481201172 36.19580078125 0.0
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152.0 16.559099197387695 36.17539978027344 0.0
153.0 16.527299880981445 36.15950012207031 0.0
154.0 16.489999771118164 36.16790008544922 0.0
156.0 16.46109962463379 36.16899871826172 0.0
157.0 16.40679931640625 36.14419937133789 0.0
159.0 16.314800262451172 36.112701416015625 0.0
160.0 16.167400360107422 36.087799072265625 0.0
161.0 16.062599182128906 36.10150146484375 0.0
162.0 16.010799407958984 36.065101623535156 0.0
163.0 15.92490005493164 36.0547981262207 0.0
164.0 15.839799880981445 36.066200256347656 0.0
165.0 15.795999526977539 36.087799072265625 0.0
166.0 15.796799659729004 36.0703010559082 0.0
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168.0 15.725799560546875 36.04359817504883 0.0
169.0 15.659099578857422 36.007999420166016 1.0
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173.0 15.428199768066406 36.00320053100586 0.0
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176.0 15.291999816894531 35.997501373291016 0.0
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181.0 15.116100311279297 35.976600646972656 0.0
182.0 15.085700035095215 35.944698333740234 0.0
184.0 15.022700309753418 35.95880126953125 0.0
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722.0 5.989699840545654 34.88959884643555 0.0
723.0 5.987199783325195 34.890499114990234 0.0
724.0 5.987100124359131 34.88840103149414 0.0
725.0 5.985300064086914 34.888099670410156 0.0
726.0 5.980899810791016 34.88629913330078 0.0
727.0 5.971099853515625 34.886600494384766 0.0
728.0 5.963500022888184 34.89149856567383 0.0
729.0 5.962600231170654 34.88740158081055 0.0
730.0 5.95359992980957 34.88759994506836 0.0
731.0 5.943999767303467 34.88850021362305 0.0
732.0 5.939599990844727 34.887001037597656 0.0
733.0 5.932300090789795 34.88759994506836 0.0
734.0 5.9257001876831055 34.889801025390625 0.0
735.0 5.922599792480469 34.890499114990234 0.0
736.0 5.91510009765625 34.88759994506836 0.0
738.0 5.90910005569458 34.88710021972656 0.0
739.0 5.904799938201904 34.889198303222656 0.0
740.0 5.902100086212158 34.88999938964844 0.0
741.0 5.899899959564209 34.88999938964844 0.0
742.0 5.897900104522705 34.89099884033203 0.0
744.0 5.893499851226807 34.88779830932617 0.0
745.0 5.883900165557861 34.881099700927734 0.0
746.0 5.873799800872803 34.89179992675781 0.0
747.0 5.8734002113342285 34.892398834228516 0.0
748.0 5.8632001876831055 34.885501861572266 0.0
749.0 5.85260009765625 34.887001037597656 0.0
750.0 5.848199844360352 34.891998291015625 0.0
751.0 5.847899913787842 34.8922004699707 0.0
752.0 5.848899841308594 34.890499114990234 0.0
753.0 5.847700119018555 34.89139938354492 0.0
754.0 5.847799777984619 34.89080047607422 0.0
755.0 5.847499847412109 34.890098571777344 0.0
756.0 5.8470001220703125 34.89030075073242 0.0
757.0 5.846399784088135 34.8911018371582 0.0
759.0 5.844900131225586 34.88669967651367 0.0
760.0 5.838399887084961 34.8911018371582 0.0
761.0 5.840199947357178 34.88890075683594 0.0
762.0 5.828999996185303 34.88410186767578 0.0
763.0 5.815000057220459 34.88740158081055 0.0
764.0 5.811500072479248 34.88420104980469 0.0
765.0 5.804200172424316 34.887699127197266 0.0
766.0 5.798799991607666 34.88710021972656 0.0
767.0 5.792099952697754 34.88589859008789 0.0
768.0 5.780700206756592 34.8911018371582 0.0
770.0 5.781700134277344 34.88819885253906 0.0
771.0 5.771399974822998 34.88819885253906 0.0
772.0 5.765999794006348 34.888099670410156 0.0
773.0 5.76140022277832 34.88840103149414 0.0
774.0 5.756700038909912 34.88970184326172 0.0
775.0 5.7515997886657715 34.890499114990234 0.0
776.0 5.751500129699707 34.88840103149414 0.0
777.0 5.741199970245361 34.88740158081055 0.0
778.0 5.729599952697754 34.8927001953125 0.0
779.0 5.7245001792907715 34.88600158691406 0.0
780.0 5.7210001945495605 34.89039993286133 0.0
782.0 5.7144999504089355 34.88679885864258 0.0
783.0 5.692299842834473 34.88850021362305 0.0
784.0 5.685800075531006 34.89229965209961 0.0
785.0 5.685100078582764 34.892601013183594 0.0
786.0 5.684100151062012 34.8932991027832 0.0
787.0 5.683800220489502 34.8921012878418 0.0
788.0 5.682799816131592 34.8911018371582 0.0
789.0 5.678599834442139 34.8927001953125 0.0
790.0 5.67579984664917 34.892398834228516 0.0
791.0 5.675600051879883 34.89179992675781 0.0
792.0 5.673500061035156 34.8927001953125 0.0
793.0 5.671299934387207 34.89360046386719 0.0
794.0 5.6717000007629395 34.8927001953125 0.0
795.0 5.67110013961792 34.891998291015625 0.0
796.0 5.6697998046875 34.89250183105469 0.0
797.0 5.668700218200684 34.89139938354492 0.0
798.0 5.665500164031982 34.894100189208984 0.0
799.0 5.667699813842773 34.89289855957031 0.0

In total, there are 702 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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