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Dataset Title:  "Deepwater CTD - 92g10006.ctd.nc - 27.83N, -93.0W - 1992-10-03" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_92g10006_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: 147)
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   145 options
    temperature ?  =  degree_C   143 options
    salinity ?  =  PSU   138 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 ?  =  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
3.0 27.51259994506836 36.09769821166992 4.559999942779541 -99.0 0.10000000149011612 0.009999999776482582 1.100000023841858 -99.0 0.0
4.0 27.510700225830078 36.09809875488281 4.539999961853027 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
5.0 27.51140022277832 36.097999572753906 4.75 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
6.0 27.51140022277832 36.10279846191406 5.039999961853027 -99.0 0.10000000149011612 1.600000023841858 0.05999999865889549 -99.0 0.0
7.0 27.507400512695312 36.098899841308594 5.070000171661377 -99.0 0.10000000149011612 0.009999999776482582 1.7999999523162842 -99.0 0.0
8.0 27.506399154663086 36.0984001159668 4.980000019073486 -99.0 0.30000001192092896 0.03999999910593033 2.299999952316284 -99.0 0.0
9.0 27.506200790405273 36.09809875488281 4.849999904632568 -99.0 0.20000000298023224 0.029999999329447746 0.0 -99.0 0.0
10.0 27.50550079345703 36.097999572753906 2.990000009536743 -99.0 14.699999809265137 0.8899999856948853 3.799999952316284 -99.0 0.0
12.0 27.505800247192383 36.09709930419922 2.5899999141693115 -99.0 29.299999237060547 1.850000023841858 17.399999618530273 -99.0 0.0
14.0 27.505199432373047 36.10900115966797 2.9200000762939453 -99.0 32.099998474121094 2.119999885559082 23.5 -99.0 0.0
15.0 27.508899688720703 36.110801696777344 4.429999828338623 -99.0 27.5 1.8300000429153442 28.5 -99.0 0.0
17.0 27.509899139404297 36.11029815673828 4.860000133514404 -99.0 24.799999237060547 1.559999942779541 27.100000381469727 -99.0 0.0
20.0 27.510099411010742 36.10940170288086 0.0
21.0 27.51020050048828 36.104000091552734 0.0
22.0 27.511199951171875 36.10350036621094 0.0
23.0 27.510499954223633 36.112098693847656 0.0
25.0 27.510499954223633 36.1161003112793 0.0
27.0 27.510099411010742 36.128299713134766 0.0
29.0 27.51180076599121 36.13959884643555 0.0
30.0 27.512800216674805 36.14720153808594 0.0
32.0 27.513700485229492 36.16230010986328 0.0
33.0 27.515300750732422 36.16429901123047 0.0
35.0 27.522300720214844 36.17940139770508 0.0
36.0 27.526399612426758 36.187599182128906 0.0
39.0 27.524499893188477 36.202598571777344 0.0
41.0 27.525100708007812 36.20819854736328 0.0
42.0 27.53580093383789 36.21760177612305 0.0
43.0 27.53339958190918 36.21730041503906 0.0
44.0 27.53499984741211 36.21889877319336 0.0
47.0 27.53730010986328 36.22819900512695 0.0
48.0 27.538400650024414 36.23320007324219 0.0
49.0 27.538700103759766 36.23429870605469 0.0
50.0 27.538700103759766 36.23680114746094 0.0
51.0 27.538000106811523 36.24020004272461 0.0
52.0 27.53660011291504 36.242698669433594 0.0
53.0 27.535600662231445 36.24169921875 0.0
54.0 27.534799575805664 36.24449920654297 0.0
55.0 27.32859992980957 36.230201721191406 0.0
57.0 26.009700775146484 36.25339889526367 0.0
58.0 25.549100875854492 36.26210021972656 0.0
59.0 24.84630012512207 36.28630065917969 0.0
60.0 24.37350082397461 36.30619812011719 0.0
61.0 24.391300201416016 36.305301666259766 0.0
62.0 24.341999053955078 36.30189895629883 0.0
63.0 24.18280029296875 36.304100036621094 0.0
67.0 23.431699752807617 36.31999969482422 0.0
68.0 23.289899826049805 36.313499450683594 0.0
69.0 23.111000061035156 36.30630111694336 0.0
71.0 22.932899475097656 36.309600830078125 0.0
72.0 22.663799285888672 36.309200286865234 0.0
73.0 22.44610023498535 36.3656005859375 0.0
74.0 22.524799346923828 36.35210037231445 0.0
76.0 22.480600357055664 36.36539840698242 0.0
77.0 22.271499633789062 36.33259963989258 0.0
79.0 22.035499572753906 36.31800079345703 0.0
81.0 22.010400772094727 36.33209991455078 0.0
82.0 21.755599975585938 36.30289840698242 0.0
84.0 21.455900192260742 36.244300842285156 0.0
85.0 21.10810089111328 36.21969985961914 0.0
86.0 20.979299545288086 36.214900970458984 0.0
87.0 20.804100036621094 36.217899322509766 0.0
90.0 20.499799728393555 36.256099700927734 0.0
91.0 20.422700881958008 36.269901275634766 0.0
92.0 20.35770034790039 36.27909851074219 0.0
95.0 20.269899368286133 36.29629898071289 0.0
96.0 20.196300506591797 36.3130989074707 0.0
97.0 20.100799560546875 36.32929992675781 0.0
98.0 19.941699981689453 36.322898864746094 0.0
99.0 19.88949966430664 36.31420135498047 0.0
101.0 19.702800750732422 36.315399169921875 0.0
102.0 19.597700119018555 36.31740188598633 0.0
104.0 19.545299530029297 36.344200134277344 0.0
105.0 19.521299362182617 36.346500396728516 0.0
107.0 19.398099899291992 36.35449981689453 0.0
109.0 19.321300506591797 36.35689926147461 0.0
110.0 19.312400817871094 36.35419845581055 0.0
111.0 19.29490089416504 36.360801696777344 0.0
112.0 19.270700454711914 36.36140060424805 0.0
113.0 19.268400192260742 36.36140060424805 0.0
115.0 19.26180076599121 36.361000061035156 0.0
116.0 19.250099182128906 36.36130142211914 0.0
118.0 19.228599548339844 36.363399505615234 0.0
119.0 19.20949935913086 36.36330032348633 0.0
120.0 19.188100814819336 36.36370086669922 0.0
121.0 19.17639923095703 36.362701416015625 0.0
122.0 19.172100067138672 36.362300872802734 0.0
123.0 19.169300079345703 36.362098693847656 0.0
124.0 19.151100158691406 36.361900329589844 0.0
125.0 19.12660026550293 36.361698150634766 0.0
127.0 19.04400062561035 36.36220169067383 0.0
128.0 19.023099899291992 36.36220169067383 0.0
129.0 19.013900756835938 36.36180114746094 0.0
130.0 18.973800659179688 36.36040115356445 0.0
131.0 18.902299880981445 36.360801696777344 0.0
132.0 18.8843994140625 36.36090087890625 0.0
133.0 18.84589958190918 36.365501403808594 0.0
134.0 18.83609962463379 36.367698669433594 0.0
135.0 18.826799392700195 36.36859893798828 0.0
137.0 18.82200050354004 36.36899948120117 0.0
138.0 18.822099685668945 36.36790084838867 0.0
139.0 18.821699142456055 36.368499755859375 0.0
140.0 18.820199966430664 36.36819839477539 0.0
141.0 18.726499557495117 36.3754997253418 0.0
142.0 18.680400848388672 36.373600006103516 0.0
143.0 18.601299285888672 36.369598388671875 0.0
144.0 18.579500198364258 36.378299713134766 0.0
145.0 18.571300506591797 36.3754997253418 0.0
146.0 18.5580997467041 36.372398376464844 0.0
147.0 18.5575008392334 36.388099670410156 0.0
148.0 18.530500411987305 36.39229965209961 0.0
149.0 18.49169921875 36.395301818847656 0.0
150.0 18.17009925842285 36.36220169067383 0.0
150.0 18.329999923706055 36.37590026855469 0.0
152.0 18.084999084472656 36.347999572753906 0.0
153.0 17.960599899291992 36.33879852294922 0.0
154.0 17.861900329589844 36.34040069580078 0.0
155.0 17.862600326538086 36.36980056762695 0.0
156.0 17.843799591064453 36.3661003112793 0.0
157.0 17.809999465942383 36.36119842529297 0.0
158.0 17.769100189208984 36.355499267578125 0.0
159.0 17.754600524902344 36.35240173339844 0.0
161.0 17.7322998046875 36.3484001159668 0.0
162.0 17.699399948120117 36.34349822998047 0.0
163.0 17.654399871826172 36.334598541259766 0.0
164.0 17.55430030822754 36.32170104980469 0.0
165.0 17.48550033569336 36.31480026245117 0.0
166.0 17.46269989013672 36.312198638916016 0.0
167.0 17.44029998779297 36.308101654052734 0.0
168.0 17.404199600219727 36.30419921875 0.0
169.0 17.394699096679688 36.304100036621094 0.0
170.0 17.340999603271484 36.29899978637695 0.0
172.0 17.25779914855957 36.289100646972656 0.0
173.0 17.227800369262695 36.288299560546875 0.0
174.0 17.171199798583984 36.27690124511719 0.0
174.0 17.20039939880371 36.280601501464844 0.0
176.0 17.142099380493164 36.269100189208984 0.0
177.0 17.04290008544922 36.25960159301758 0.0
178.0 16.998199462890625 36.25490188598633 0.0
180.0 16.937700271606445 36.245399475097656 0.0
181.0 16.894500732421875 36.24089813232422 0.0
182.0 16.886600494384766 36.2400016784668 0.0
184.0 16.867599487304688 36.23809814453125 0.0
185.0 16.86370086669922 36.237300872802734 0.0
186.0 16.861400604248047 36.237300872802734 0.0
187.0 16.860200881958008 36.237098693847656 0.0
188.0 16.840700149536133 36.2333984375 0.0
189.0 16.80590057373047 36.22850036621094 0.0

In total, there are 147 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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