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Dataset Title:  "Deepwater CTD - d94h002.ctd.nc - 27.82N, -94.0W - 1994-04-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h002_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: 400)
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   200 options
    temperature ?  =  degree_C   399 options
    salinity ?  =  PSU   357 options
    oxygen ?  =  milliliters per liter   2 options
    pressure ?  =  decibars   400 options
    nitrite ?  =  micromols   10 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
2.0 23.390300750732422 35.58409881591797 -9.0 2.013000011444092 0.029999999329447746 0.0 0.03999999910593033 2.5899999141693115 -9.0 0.0
2.0 23.41069984436035 35.58700180053711 -9.0 2.5169999599456787 0.009999999776482582 0.0 0.03999999910593033 2.390000104904175 -9.0 0.0
3.0 23.381999969482422 35.57120132446289 -9.0 3.5239999294281006 0.009999999776482582 0.019999999552965164 0.03999999910593033 2.4600000381469727 -9.0 0.0
3.0 23.46489906311035 35.581199645996094 -9.0 3.0199999809265137 0.0 0.03999999910593033 0.03999999910593033 2.2899999618530273 -9.0 0.0
4.0 23.2106990814209 35.55730056762695 -9.0 4.53000020980835 0.019999999552965164 4.730000019073486 0.25999999046325684 3.559999942779541 -9.0 0.0
4.0 23.363399505615234 35.58760070800781 -9.0 4.0269999504089355 0.11999999731779099 0.7599999904632568 0.07999999821186066 2.569999933242798 -9.0 0.0
5.0 22.577600479125977 35.608699798583984 -9.0 5.5370001792907715 0.029999999329447746 11.489999771118164 0.5899999737739563 6.519999980926514 -9.0 0.0
5.0 22.962600708007812 35.57780075073242 -9.0 5.033999919891357 0.019999999552965164 9.40999984741211 0.47999998927116394 5.369999885559082 -9.0 0.0
6.0 22.398799896240234 35.6338996887207 -9.0 6.544000148773193 0.09000000357627869 17.770000457763672 0.9599999785423279 9.789999961853027 -9.0 0.0
6.0 22.513599395751953 35.61859893798828 -9.0 6.039999961853027 0.05999999865889549 15.890000343322754 0.8399999737739563 8.329999923706055 -9.0 0.0
7.0 22.335100173950195 35.6505012512207 -9.0 7.551000118255615 0.03999999910593033 0.0 0.05999999865889549 3.200000047683716 -9.0 0.0
7.0 22.36050033569336 35.643798828125 -9.0 7.046999931335449 0.10000000149011612 18.700000762939453 1.0499999523162842 11.140000343322754 -9.0 0.0
8.0 22.22879981994629 35.6619987487793 8.557000160217285 0.0
8.0 22.299299240112305 35.65399932861328 8.053999900817871 0.0
9.0 22.117300033569336 35.67060089111328 9.564000129699707 0.0
9.0 22.190900802612305 35.66059875488281 9.060999870300293 0.0
10.0 22.06450080871582 35.69419860839844 10.571000099182129 0.0
10.0 22.093399047851562 35.67900085449219 10.067999839782715 0.0
11.0 21.84510040283203 35.84859848022461 11.57800006866455 0.0
11.0 22.006900787353516 35.73649978637695 11.074000358581543 0.0
12.0 21.607900619506836 35.91130065917969 12.585000038146973 0.0
12.0 21.711299896240234 35.913299560546875 12.081000328063965 0.0
13.0 21.25149917602539 35.81439971923828 13.590999603271484 0.0
13.0 21.410200119018555 35.86859893798828 13.088000297546387 0.0
14.0 21.035200119018555 35.83409881591797 14.597999572753906 0.0
14.0 21.090999603271484 35.8036994934082 14.095000267028809 0.0
15.0 21.033700942993164 35.83440017700195 15.10200023651123 0.0
15.0 21.07469940185547 35.86180114746094 15.604999542236328 0.0
16.0 21.140300750732422 35.89979934692383 16.107999801635742 0.0
16.0 21.283599853515625 35.98419952392578 16.61199951171875 0.0
17.0 21.4143009185791 36.047298431396484 17.114999771118164 0.0
17.0 21.500900268554688 36.08190155029297 17.618999481201172 0.0
18.0 21.459699630737305 36.07789993286133 18.625 0.0
18.0 21.483999252319336 36.07789993286133 18.121999740600586 0.0
19.0 21.457500457763672 36.079498291015625 19.128999710083008 0.0
19.0 21.470399856567383 36.087501525878906 19.631999969482422 0.0
20.0 21.475200653076172 36.097900390625 20.638999938964844 0.0
20.0 21.490400314331055 36.10049819946289 20.13599967956543 0.0
21.0 21.45789909362793 36.10260009765625 21.142000198364258 0.0
21.0 21.4591007232666 36.099700927734375 21.645999908447266 0.0
22.0 21.33449935913086 36.08060073852539 22.652999877929688 0.0
22.0 21.380399703979492 36.0796012878418 22.14900016784668 0.0
23.0 21.346099853515625 36.09260177612305 23.1560001373291 0.0
23.0 21.36870002746582 36.11159896850586 23.65999984741211 0.0
24.0 21.384300231933594 36.125301361083984 24.163000106811523 0.0
24.0 21.385099411010742 36.12540054321289 24.666000366210938 0.0
25.0 21.354299545288086 36.122501373291016 25.67300033569336 0.0
25.0 21.376699447631836 36.11980056762695 25.170000076293945 0.0
26.0 21.331899642944336 36.12670135498047 26.68000030517578 0.0
26.0 21.356800079345703 36.12860107421875 26.177000045776367 0.0
27.0 21.32309913635254 36.132301330566406 27.18400001525879 0.0
27.0 21.323299407958984 36.134300231933594 27.687000274658203 0.0
28.0 21.31049919128418 36.1427001953125 28.694000244140625 0.0
28.0 21.32200050354004 36.13719940185547 28.190000534057617 0.0
29.0 21.29949951171875 36.15039825439453 29.701000213623047 0.0
29.0 21.303499221801758 36.14509963989258 29.19700050354004 0.0
30.0 21.28030014038086 36.154998779296875 30.70800018310547 0.0
30.0 21.294700622558594 36.152099609375 30.20400047302246 0.0
31.0 21.27280044555664 36.167701721191406 31.71500015258789 0.0
31.0 21.278600692749023 36.15570068359375 31.211000442504883 0.0
32.0 21.20400047302246 36.173301696777344 32.72100067138672 0.0
32.0 21.247600555419922 36.16699981689453 32.21799850463867 0.0
33.0 21.196399688720703 36.193199157714844 33.72800064086914 0.0
33.0 21.209699630737305 36.1859016418457 33.224998474121094 0.0
34.0 20.993999481201172 36.211700439453125 34.73500061035156 0.0
34.0 21.10700035095215 36.201499938964844 34.231998443603516 0.0
35.0 20.981300354003906 36.212799072265625 35.23899841308594 0.0
35.0 20.984399795532227 36.2135009765625 35.742000579833984 0.0
36.0 20.971599578857422 36.21260070800781 36.749000549316406 0.0
36.0 20.984800338745117 36.21229934692383 36.24599838256836 0.0
37.0 20.960500717163086 36.21289825439453 37.75600051879883 0.0
37.0 20.963499069213867 36.212398529052734 37.25299835205078 0.0
38.0 20.947999954223633 36.20949935913086 38.76300048828125 0.0
38.0 20.95989990234375 36.21189880371094 38.25899887084961 0.0
39.0 20.90570068359375 36.20920181274414 39.77000045776367 0.0
39.0 20.924999237060547 36.20840072631836 39.26599884033203 0.0
40.0 20.802499771118164 36.22359848022461 40.777000427246094 0.0
40.0 20.86210060119629 36.20949935913086 40.27299880981445 0.0
41.0 20.703399658203125 36.221099853515625 41.784000396728516 0.0
41.0 20.77519989013672 36.22159957885742 41.279998779296875 0.0
42.0 20.664400100708008 36.227901458740234 42.2869987487793 0.0
42.0 20.667800903320312 36.22760009765625 42.79100036621094 0.0
43.0 20.565399169921875 36.22269821166992 43.79800033569336 0.0
43.0 20.651100158691406 36.2234001159668 43.29399871826172 0.0
44.0 20.520000457763672 36.227699279785156 44.80500030517578 0.0
44.0 20.533100128173828 36.22760009765625 44.30099868774414 0.0
45.0 20.482900619506836 36.22610092163086 45.81100082397461 0.0
45.0 20.506399154663086 36.22669982910156 45.30799865722656 0.0
46.0 20.434200286865234 36.22629928588867 46.81800079345703 0.0
46.0 20.456100463867188 36.22610092163086 46.314998626708984 0.0
47.0 20.408199310302734 36.227901458740234 47.82500076293945 0.0
47.0 20.417499542236328 36.22679901123047 47.321998596191406 0.0
48.0 20.40220069885254 36.227901458740234 48.832000732421875 0.0
48.0 20.407499313354492 36.22819900512695 48.32899856567383 0.0
49.0 20.374900817871094 36.22589874267578 49.8390007019043 0.0
49.0 20.393800735473633 36.22700119018555 49.33599853515625 0.0
50.0 20.330699920654297 36.2239990234375 50.84600067138672 0.0
50.0 20.34760093688965 36.22370147705078 50.34299850463867 0.0
51.0 20.283100128173828 36.21739959716797 51.85300064086914 0.0
51.0 20.314899444580078 36.22079849243164 51.349998474121094 0.0
52.0 20.244199752807617 36.212398529052734 52.86000061035156 0.0
52.0 20.262300491333008 36.217098236083984 52.356998443603516 0.0
53.0 20.160200119018555 36.20920181274414 53.867000579833984 0.0
53.0 20.18589973449707 36.20119857788086 53.36399841308594 0.0
54.0 20.138900756835938 36.21030044555664 54.874000549316406 0.0
54.0 20.15399932861328 36.21120071411133 54.37099838256836 0.0
55.0 20.09950065612793 36.20800018310547 55.88100051879883 0.0
55.0 20.11090087890625 36.208900451660156 55.37799835205078 0.0
56.0 20.04800033569336 36.19779968261719 56.88800048828125 0.0
56.0 20.0802001953125 36.203399658203125 56.3849983215332 0.0
57.0 19.93400001525879 36.18730163574219 57.89500045776367 0.0
57.0 19.99530029296875 36.18870162963867 57.391998291015625 0.0
58.0 19.857099533081055 36.198299407958984 58.902000427246094 0.0
58.0 19.87779998779297 36.19089889526367 58.39899826049805 0.0
59.0 19.846799850463867 36.20859909057617 59.909000396728516 0.0
59.0 19.84950065612793 36.20479965209961 59.40599822998047 0.0
60.0 19.824800491333008 36.21379852294922 60.91600036621094 0.0
60.0 19.840299606323242 36.210201263427734 60.41299819946289 0.0
61.0 19.81089973449707 36.21200180053711 61.92300033569336 0.0
61.0 19.8164005279541 36.21310043334961 61.41999816894531 0.0
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63.0 19.782400131225586 36.21969985961914 63.433998107910156 0.0
63.0 19.791799545288086 36.232398986816406 63.9370002746582 0.0
64.0 19.771499633789062 36.233001708984375 64.94499969482422 0.0
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65.0 19.758800506591797 36.232398986816406 65.9520034790039 0.0
65.0 19.76930046081543 36.234100341796875 65.447998046875 0.0
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196.0 15.426199913024902 36.02980041503906 197.91799926757812 0.0
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197.0 15.393500328063965 36.02730178833008 198.92599487304688 0.0
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198.0 15.383700370788574 36.0255012512207 199.93299865722656 0.0
198.0 15.393799781799316 36.02669906616211 199.42999267578125 0.0
199.0 15.348199844360352 36.01969909667969 200.9429931640625 0.0
199.0 15.381999969482422 36.024600982666016 200.43699645996094 0.0
200.0 15.290499687194824 36.01139831542969 201.94900512695312 0.0
200.0 15.314399719238281 36.01470184326172 201.4499969482422 0.0
201.0 15.267399787902832 36.007198333740234 202.95700073242188 0.0
201.0 15.283300399780273 36.01100158691406 202.4530029296875 0.0

In total, there are 400 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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