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Dataset Title:  "Deepwater CTD - 94g0513.ctd.nc - 25.71N, -87.0W - 1994-07-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0513_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: 2001)
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   822 options
    temperature ?  =  degree_C   1981 options
    salinity ?  =  PSU   1762 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   7 options
    nitrate ?  =  micromols   8 options
    phosphate ?  =  micromols per liter   7 options
    silicate ?  =  micromols per liter   6 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 29.31220054626465 36.250999450683594 4.617000102996826 0.0 0.20000000298023224 0.10999999940395355 1.2999999523162842 -99.0 0.0
2.0 29.313100814819336 36.251399993896484 4.656000137329102 0.0 0.10000000149011612 0.07000000029802322 1.100000023841858 -99.0 0.0
2.0 29.325199127197266 36.25279998779297 4.870999813079834 0.0 0.30000001192092896 0.07000000029802322 1.0 -99.0 0.0
2.0 29.33530044555664 36.249000549316406 4.704999923706055 0.0 0.20000000298023224 0.05999999865889549 1.0 -99.0 0.0
3.0 29.30069923400879 36.253501892089844 4.51200008392334 0.15000000596046448 0.20000000298023224 0.07000000029802322 0.800000011920929 -99.0 0.0
3.0 29.304000854492188 36.25270080566406 4.315000057220459 0.03999999910593033 0.6000000238418579 0.10999999940395355 0.800000011920929 -99.0 0.0
3.0 29.307199478149414 36.252899169921875 4.795000076293945 0.009999999776482582 0.30000001192092896 0.07000000029802322 0.8999999761581421 -99.0 0.0
3.0 29.31100082397461 36.25410079956055 4.571000099182129 0.07000000029802322 0.20000000298023224 0.05999999865889549 0.8999999761581421 -99.0 0.0
3.0 29.320100784301758 36.25149917602539 4.684000015258789 0.009999999776482582 0.30000001192092896 0.05999999865889549 0.8999999761581421 -99.0 0.0
4.0 29.299400329589844 36.25230026245117 3.9790000915527344 0.009999999776482582 2.299999952316284 0.18000000715255737 0.800000011920929 -99.0 0.0
4.0 29.300399780273438 36.25270080566406 4.1539998054504395 0.029999999329447746 1.2000000476837158 0.12999999523162842 0.800000011920929 -99.0 0.0
4.0 29.303699493408203 36.25189971923828 3.6989998817443848 0.009999999776482582 4.099999904632568 0.25999999046325684 1.100000023841858 -99.0 0.0
4.0 29.304399490356445 36.25239944458008 0.0
5.0 29.301300048828125 36.252498626708984 0.0
5.0 29.302200317382812 36.252601623535156 0.0
5.0 29.304800033569336 36.252498626708984 0.0
5.0 29.305099487304688 36.25239944458008 0.0
5.0 29.305200576782227 36.25230026245117 0.0
5.0 29.30769920349121 36.25239944458008 0.0
6.0 29.306400299072266 36.25189971923828 0.0
6.0 29.306900024414062 36.25230026245117 0.0
6.0 29.3075008392334 36.25210189819336 0.0
7.0 29.308900833129883 36.25210189819336 0.0
7.0 29.31410026550293 36.25199890136719 0.0
7.0 29.314699172973633 36.251800537109375 0.0
8.0 29.310100555419922 36.25270080566406 0.0
8.0 29.311899185180664 36.25299835205078 0.0
8.0 29.320199966430664 36.25210189819336 0.0
8.0 29.32080078125 36.25199890136719 0.0
8.0 29.32110023498535 36.25210189819336 0.0
9.0 29.297000885009766 36.253501892089844 0.0
9.0 29.29949951171875 36.25339889526367 0.0
9.0 29.304000854492188 36.253299713134766 0.0
10.0 29.26930046081543 36.24909973144531 0.0
10.0 29.269800186157227 36.249298095703125 0.0
10.0 29.277099609375 36.2504997253418 0.0
11.0 29.268299102783203 36.24829864501953 0.0
11.0 29.268400192260742 36.24829864501953 0.0
11.0 29.26849937438965 36.248600006103516 0.0
11.0 29.268800735473633 36.248600006103516 0.0
11.0 29.269800186157227 36.2489013671875 0.0
12.0 29.2185001373291 36.243900299072266 0.0
12.0 29.25160026550293 36.24769973754883 0.0
12.0 29.26740074157715 36.24829864501953 0.0
13.0 29.17099952697754 36.2406005859375 0.0
13.0 29.172100067138672 36.240501403808594 0.0
13.0 29.18160057067871 36.2411003112793 0.0
13.0 29.208900451660156 36.2422981262207 0.0
14.0 29.16390037536621 36.23939895629883 0.0
14.0 29.164899826049805 36.23970031738281 0.0
14.0 29.165800094604492 36.239898681640625 0.0
14.0 29.16670036315918 36.239601135253906 0.0
15.0 29.15959930419922 36.23899841308594 0.0
15.0 29.160400390625 36.239200592041016 0.0
15.0 29.162200927734375 36.239200592041016 0.0
16.0 29.154199600219727 36.238800048828125 0.0
16.0 29.155099868774414 36.23870086669922 0.0
16.0 29.156200408935547 36.23870086669922 0.0
16.0 29.158199310302734 36.23870086669922 0.0
17.0 29.15180015563965 36.238399505615234 0.0
17.0 29.152700424194336 36.23860168457031 0.0
17.0 29.152999877929688 36.23830032348633 0.0
17.0 29.153799057006836 36.238800048828125 0.0
18.0 29.14889907836914 36.238399505615234 0.0
18.0 29.14929962158203 36.23820114135742 0.0
18.0 29.15089988708496 36.23830032348633 0.0
18.0 29.151500701904297 36.238399505615234 0.0
19.0 29.146699905395508 36.23830032348633 0.0
19.0 29.14699935913086 36.238399505615234 0.0
19.0 29.147300720214844 36.23820114135742 0.0
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20.0 29.145099639892578 36.23830032348633 0.0
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21.0 29.14310073852539 36.237998962402344 0.0
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23.0 29.13949966430664 36.23740005493164 0.0
23.0 29.13960075378418 36.23740005493164 0.0
23.0 29.139699935913086 36.23759841918945 0.0
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26.0 29.13610076904297 36.23749923706055 0.0
26.0 29.136600494384766 36.237300872802734 0.0
26.0 29.136699676513672 36.23780059814453 0.0
27.0 29.13360023498535 36.23659896850586 0.0
27.0 29.134199142456055 36.23720169067383 0.0
27.0 29.13479995727539 36.23720169067383 0.0
27.0 29.135000228881836 36.237300872802734 0.0
28.0 29.132999420166016 36.23680114746094 0.0
28.0 29.133100509643555 36.23659896850586 0.0
28.0 29.133100509643555 36.236698150634766 0.0
29.0 29.130300521850586 36.23619842529297 0.0
29.0 29.131099700927734 36.23630142211914 0.0
29.0 29.13159942626953 36.23640060424805 0.0
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31.0 29.11750030517578 36.23509979248047 0.0
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31.0 29.1210994720459 36.23550033569336 0.0
32.0 29.109500885009766 36.23350143432617 0.0
32.0 29.11199951171875 36.23400115966797 0.0
32.0 29.114599227905273 36.234500885009766 0.0
33.0 29.100400924682617 36.231998443603516 0.0
33.0 29.100799560546875 36.232398986816406 0.0
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35.0 29.084299087524414 36.22959899902344 0.0
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35.0 29.09000015258789 36.23030090332031 0.0
36.0 29.074100494384766 36.22800064086914 0.0
36.0 29.074199676513672 36.22800064086914 0.0
36.0 29.07699966430664 36.22869873046875 0.0
36.0 29.080400466918945 36.22909927368164 0.0
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37.0 29.071300506591797 36.227298736572266 0.0
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389.0 17.428800582885742 36.36259841918945 0.0
390.0 17.41230010986328 36.36050033569336 0.0
390.0 17.417499542236328 36.36149978637695 0.0
391.0 17.412700653076172 36.359798431396484 0.0
391.0 17.42490005493164 36.36149978637695 0.0
391.0 17.43400001525879 36.360198974609375 0.0
392.0 17.37849998474121 36.355201721191406 0.0
392.0 17.42060089111328 36.362098693847656 0.0
392.0 17.49410057067871 36.36539840698242 0.0
393.0 17.353300094604492 36.349998474121094 0.0
393.0 17.357900619506836 36.35129928588867 0.0
393.0 17.365400314331055 36.352298736572266 0.0
394.0 17.346399307250977 36.349098205566406 0.0
395.0 17.337600708007812 36.34769821166992 0.0
395.0 17.339500427246094 36.34830093383789 0.0
396.0 17.30430030822754 36.34280014038086 0.0
396.0 17.316299438476562 36.345298767089844 0.0
397.0 17.26729965209961 36.33829879760742 0.0
397.0 17.288700103759766 36.340999603271484 0.0
397.0 17.314599990844727 36.34479904174805 0.0
398.0 17.23430061340332 36.33440017700195 0.0
398.0 17.24970054626465 36.33509826660156 0.0
398.0 17.254499435424805 36.33639907836914 0.0
399.0 17.231000900268555 36.33039855957031 0.0
399.0 17.238100051879883 36.331600189208984 0.0
400.0 17.18560028076172 36.324100494384766 0.0
400.0 17.217599868774414 36.327598571777344 0.0
400.0 17.226299285888672 36.329200744628906 0.0
401.0 17.1648006439209 36.32109832763672 0.0
401.0 17.17340087890625 36.32279968261719 0.0
402.0 17.15489959716797 36.319801330566406 0.0
403.0 17.155500411987305 36.31990051269531 0.0
403.0 17.168399810791016 36.31919860839844 0.0
403.0 17.172300338745117 36.3202018737793 0.0
404.0 17.097200393676758 36.31019973754883 0.0
404.0 17.12700080871582 36.31449890136719 0.0
404.0 17.15239906311035 36.319000244140625 0.0

In total, there are 2001 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 1001 rows aren't being shown.
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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