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Dataset Title:  "NEGOM CTD - n7l04s01.nc - 30.22N, 87.35W - 1999-11-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l04s01)
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: 39)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   39 options
    depth ?  =  m   39 options
    temperature ?  =  degree_C   39 options
    potentialTemperature ?  =  degree_C   37 options
    conductivity ?  =  Siemens per meter   35 options
    salinity ?  =  PSU   39 options
    sigmat ?  =  kg m-3   37 options
    descentRate ?  =  meters per second   35 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   25 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)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
1.5 1.5 21.26930046081543 21.268999099731445 4.893599987030029 34.77859878540039 24.25200080871582 0.1120000034570694 4.124000072479248 -9.0 -9.0 1.2259999513626099 0.2329999953508377
2.0 2.0 21.285400390625 21.28499984741211 4.896599769592285 34.78929901123047 24.255699157714844 0.1770000010728836 4.13100004196167 -9.0 -9.0 1.1619999408721924 0.210999995470047
2.5 2.5 21.287399291992188 21.28689956665039 4.896900177001953 34.790199279785156 24.25589942932129 0.25099998712539673 4.126999855041504 -9.0 -9.0 1.1490000486373901 0.20800000429153442
3.0 3.0 21.28459930419922 21.284000396728516 4.896599769592285 34.79010009765625 24.25659942626953 0.17900000512599945 4.130000114440918 -9.0 -9.0 1.1729999780654907 0.2150000035762787
3.5 3.5 21.30229949951172 21.301599502563477 4.900000095367432 34.80220031738281 24.26099967956543 0.26499998569488525 4.132999897003174 -9.0 -9.0 1.1799999475479126 0.21299999952316284
4.0 4.0 21.300199508666992 21.299400329589844 4.899600028991699 34.800899505615234 24.26059913635254 0.3370000123977661 4.132999897003174 -9.0 -9.0 1.1579999923706055 0.21299999952316284
4.5 4.5 21.304000854492188 21.3031005859375 4.900300025939941 34.80289840698242 24.261199951171875 0.2409999966621399 4.132999897003174 -9.0 -9.0 1.149999976158142 0.2150000035762787
5.0 5.0 21.31100082397461 21.309999465942383 4.900899887084961 34.801700592041016 24.25830078125 0.25200000405311584 4.129000186920166 -9.0 -9.0 1.1449999809265137 0.21699999272823334
5.5 5.5 21.320600509643555 21.319499969482422 4.902299880981445 34.80540084838867 24.258499145507812 0.30300000309944153 4.125999927520752 -9.0 -9.0 1.1829999685287476 0.21699999272823334
6.0 6.0 21.337400436401367 21.336200714111328 4.905600070953369 34.817501068115234 24.263099670410156 0.2160000056028366 4.129000186920166 -9.0 -9.0 1.1820000410079956 0.2150000035762787
6.5 6.5 21.329599380493164 21.32830047607422 4.904099941253662 34.81209945678711 24.261199951171875 0.2029999941587448 4.129000186920166 -9.0 -9.0 1.1679999828338623 0.2160000056028366
7.0 7.0 21.340499877929688 21.339099884033203 4.906300067901611 34.8202018737793 24.264400482177734 0.2540000081062317 4.13100004196167 -9.0 -9.0 1.149999976158142 0.2199999988079071
7.599999904632568 7.5 21.320199966430664 21.318700790405273 4.9029998779296875 34.810001373291016 24.26219940185547 0.20600000023841858 4.124000072479248 -9.0 -9.0 1.1640000343322754 0.2280000001192093
8.100000381469727 8.0 21.369400024414062 21.367799758911133 4.911600112915039 34.8390007019043 24.27079963684082 0.2290000021457672 4.130000114440918 -9.0 -9.0 1.1799999475479126 0.22499999403953552
8.600000381469727 8.5 21.386699676513672 21.385000228881836 4.91510009765625 34.85210037231445 24.275999069213867 0.24699999392032623 4.123000144958496 -9.0 -9.0 1.1829999685287476 0.2150000035762787
9.100000381469727 9.0 21.40060043334961 21.398799896240234 4.917799949645996 34.862300872802734 24.280000686645508 0.210999995470047 4.126999855041504 -9.0 -9.0 1.1759999990463257 0.22100000083446503
9.600000381469727 9.5 21.478599548339844 21.476699829101562 4.933800220489502 34.92620086669922 24.307199478149414 0.19599999487400055 4.131999969482422 -9.0 -9.0 1.1460000276565552 0.210999995470047
10.100000381469727 10.0 21.66069984436035 21.658700942993164 4.970200061798096 35.066898345947266 24.363800048828125 0.28700000047683716 4.131999969482422 -9.0 -9.0 1.1629999876022339 0.20399999618530273
10.600000381469727 10.5 21.729999542236328 21.7278995513916 4.983799934387207 35.117801666259766 24.38330078125 0.2160000056028366 4.138000011444092 -9.0 -9.0 1.1469999551773071 0.20200000703334808
11.100000381469727 11.0 21.68829917907715 21.686100006103516 4.974800109863281 35.0802001953125 24.36639976501465 0.17900000512599945 4.14900016784668 -9.0 -9.0 1.1820000410079956 0.20399999618530273
11.600000381469727 11.5 21.65089988708496 21.64859962463379 4.967599868774414 35.05379867553711 24.356700897216797 0.3089999854564667 4.14900016784668 -9.0 -9.0 1.2120000123977661 0.20499999821186066
12.100000381469727 12.0 21.72439956665039 21.722000122070312 4.982600212097168 35.11240005493164 24.380800247192383 0.18799999356269836 4.1519999504089355 -9.0 -9.0 1.190999984741211 0.210999995470047
12.600000381469727 12.5 21.805700302124023 21.803199768066406 5.000100135803223 35.183998107910156 24.412700653076172 0.23399999737739563 4.146999835968018 -9.0 -9.0 1.1710000038146973 0.20499999821186066
13.100000381469727 13.0 21.842100143432617 21.839500427246094 5.0081000328063965 35.21730041503906 24.427900314331055 0.2540000081062317 4.160999774932861 -9.0 -9.0 1.1829999685287476 0.20200000703334808
13.600000381469727 13.5 21.897899627685547 21.895200729370117 5.020400047302246 35.269100189208984 24.45170021057129 0.17100000381469727 4.172999858856201 -9.0 -9.0 1.194000005722046 0.19599999487400055
14.100000381469727 14.0 21.96929931640625 21.96649932861328 5.035900115966797 35.333099365234375 24.480300903320312 0.2720000147819519 4.184000015258789 -9.0 -9.0 1.1779999732971191 0.1850000023841858
14.600000381469727 14.5 22.000099182128906 21.99720001220703 5.042699813842773 35.360801696777344 24.492799758911133 0.23999999463558197 4.189000129699707 -9.0 -9.0 1.1619999408721924 0.18700000643730164
15.100000381469727 15.0 22.00629997253418 22.003299713134766 5.044099807739258 35.36669921875 24.495500564575195 0.16300000250339508 4.198999881744385 -9.0 -9.0 1.1510000228881836 0.19099999964237213
15.600000381469727 15.5 22.014999389648438 22.011899948120117 5.0457000732421875 35.37229919433594 24.497400283813477 0.27900001406669617 4.208000183105469 -9.0 -9.0 1.1510000228881836 0.19599999487400055
16.100000381469727 16.0 22.01409912109375 22.010900497436523 5.045599937438965 35.372100830078125 24.497499465942383 0.23499999940395355 4.206999778747559 -9.0 -9.0 1.152999997138977 0.19300000369548798
16.600000381469727 16.5 22.015199661254883 22.011899948120117 5.0457000732421875 35.37200164794922 24.49720001220703 0.1720000058412552 4.204999923706055 -9.0 -9.0 1.1759999990463257 0.1889999955892563
17.100000381469727 17.0 22.014299392700195 22.010900497436523 5.045599937438965 35.37160110473633 24.497100830078125 0.2630000114440918 4.209000110626221 -9.0 -9.0 1.1690000295639038 0.1940000057220459
17.600000381469727 17.5 22.018699645996094 22.015199661254883 5.046500205993652 35.3745002746582 24.498199462890625 0.20499999821186066 4.195000171661377 -9.0 -9.0 1.1649999618530273 0.19699999690055847
18.100000381469727 18.0 22.022199630737305 22.018600463867188 5.0472002029418945 35.37689971923828 24.499000549316406 0.24199999868869781 4.203999996185303 -9.0 -9.0 1.1640000343322754 0.20000000298023224
18.600000381469727 18.5 22.02199935913086 22.018299102783203 5.047100067138672 35.3765983581543 24.498899459838867 0.21400000154972076 4.204999923706055 -9.0 -9.0 1.1490000486373901 0.22499999403953552
19.100000381469727 19.0 22.021099090576172 22.01729965209961 5.046999931335449 35.37590026855469 24.498600006103516 0.21400000154972076 4.195000171661377 -9.0 -9.0 1.1799999475479126 0.23100000619888306
19.600000381469727 19.5 22.019800186157227 22.015899658203125 5.046800136566162 35.375301361083984 24.498600006103516 0.24899999797344208 4.197999954223633 -9.0 -9.0 1.187000036239624 0.21299999952316284
20.100000381469727 20.0 22.02239990234375 22.018400192260742 5.0472002029418945 35.37649917602539 24.49880027770996 0.20100000500679016 4.199999809265137 -9.0 -9.0 1.1629999876022339 0.1940000057220459
20.600000381469727 20.5 22.027299880981445 22.0231990814209 5.048099994659424 35.37919998168945 24.499500274658203 0.12200000137090683 4.210000038146973 -9.0 -9.0 1.1469999551773071 0.23800000548362732

In total, there are 39 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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