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Dataset Title:  "LATEX CTD - d93f128.nc - 28.8N, 94.69W - 1993-08-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f128)
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: 35)
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   35 options
    depth ?  =  m   35 options
    temperature ?  =  degree_C   35 options
    potentialTemperature ?  =  degree_C   35 options
    conductivity ?  =  Siemens per meter   33 options
    salinity ?  =  PSU   34 options
    sigmat ?  =  kg m-3   35 options
    descentRate ?  =  meters per second   33 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   12 options
    parv ?  =  volts   13 options
    fluorescence ?  =  volts   33 options
    backscattering ?  =  volts   1 option: -9.0

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)  

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 30.132200241088867 30.131799697875977 5.865900039672852 35.112998962402344 21.768299102783203 0.12600000202655792 4.451000213623047 2.5999999046325684 0.703000009059906 0.8629999756813049 -9.0
2.0 2.0 30.130800247192383 30.130300521850586 5.865699768066406 35.112998962402344 21.768800735473633 0.414000004529953 4.451000213623047 1.840000033378601 0.5540000200271606 0.9179999828338623 -9.0
2.5 2.5 30.128000259399414 30.127300262451172 5.8653998374938965 35.11240005493164 21.76930046081543 0.4189999997615814 4.451000213623047 1.690000057220459 0.515999972820282 1.00600004196167 -9.0
3.0 3.0 30.134700775146484 30.134000778198242 5.866199970245361 35.112701416015625 21.76729965209961 0.3140000104904175 4.452000141143799 1.3300000429153442 0.4129999876022339 0.9390000104904175 -9.0
3.5 3.5 30.1289005279541 30.12809944152832 5.865900039672852 35.11470031738281 21.77079963684082 0.3790000081062317 4.452000141143799 1.0700000524520874 0.3190000057220459 0.9380000233650208 -9.0
4.0 4.0 30.09040069580078 30.089399337768555 5.862299919128418 35.11840057373047 21.78689956665039 0.40299999713897705 4.451000213623047 0.9599999785423279 0.2709999978542328 0.9449999928474426 -9.0
4.5 4.5 30.069900512695312 30.068700790405273 5.860400199890137 35.120601654052734 21.79560089111328 0.34700000286102295 4.449999809265137 0.8899999856948853 0.2370000034570694 0.9520000219345093 -9.0
5.0 5.0 29.801000595092773 29.799699783325195 5.835999965667725 35.150299072265625 21.90959930419922 0.37299999594688416 4.449999809265137 0.7599999904632568 0.16699999570846558 0.9300000071525574 -9.0
5.5 5.5 29.602699279785156 29.60140037536621 5.818999767303467 35.17879867553711 21.998199462890625 0.3580000102519989 4.447000026702881 0.6499999761581421 0.10000000149011612 0.9309999942779541 -9.0
6.0 6.0 29.461700439453125 29.4601993560791 5.807400226593018 35.20280075073242 22.06399917602539 0.3400000035762787 4.445000171661377 0.5600000023841858 0.032999999821186066 0.9020000100135803 -9.0
6.5 6.5 29.43950080871582 29.43790054321289 5.805200099945068 35.2041015625 22.072500228881836 0.3869999945163727 4.442999839782715 0.5600000023841858 0.03999999910593033 0.8980000019073486 -9.0
7.0 7.0 29.42840003967285 29.426599502563477 5.804299831390381 35.2056999206543 22.077600479125977 0.3959999978542328 4.442999839782715 0.5199999809265137 0.0010000000474974513 0.9070000052452087 -9.0
7.599999904632568 7.5 29.4143009185791 29.412399291992188 5.803299903869629 35.20930099487305 22.084999084472656 0.3330000042915344 4.440999984741211 0.5099999904632568 0.0 0.9089999794960022 -9.0
8.100000381469727 8.0 29.3799991607666 29.378000259399414 5.802499771118164 35.22850036621094 22.111099243164062 0.3540000021457672 4.441999912261963 0.5099999904632568 0.0 0.9120000004768372 -9.0
8.600000381469727 8.5 29.35460090637207 29.35260009765625 5.80210018157959 35.24449920654297 22.13170051574707 0.4429999887943268 4.440000057220459 0.5099999904632568 0.0 1.0169999599456787 -9.0
9.100000381469727 9.0 29.351200103759766 29.349000930786133 5.802000045776367 35.24610137939453 22.13409996032715 0.3790000081062317 4.441999912261963 0.5099999904632568 0.0 0.9819999933242798 -9.0
9.600000381469727 9.5 29.344100952148438 29.341699600219727 5.801700115203857 35.24919891357422 22.1387996673584 0.2980000078678131 4.440999984741211 0.5099999904632568 0.0 0.9369999766349792 -9.0
10.100000381469727 10.0 29.311399459838867 29.30900001525879 5.802800178527832 35.280399322509766 22.17329978942871 0.4009999930858612 4.443999767303467 0.5099999904632568 0.0 0.925000011920929 -9.0
10.600000381469727 10.5 29.287799835205078 29.28529930114746 5.8043999671936035 35.30849838256836 22.202299118041992 0.4390000104904175 4.439000129699707 0.5099999904632568 0.0 0.9150000214576721 -9.0
11.100000381469727 11.0 29.27630043029785 29.27359962463379 5.804800033569336 35.319698333740234 22.21470069885254 0.35600000619888306 4.429999828338623 0.5099999904632568 0.0 0.9300000071525574 -9.0
11.600000381469727 11.5 29.268999099731445 29.26609992980957 5.804800033569336 35.32529830932617 22.221399307250977 0.3100000023841858 4.420000076293945 0.5099999904632568 0.0 0.9139999747276306 -9.0
12.100000381469727 12.0 29.258899688720703 29.256000518798828 5.805600166320801 35.33789825439453 22.23430061340332 0.44999998807907104 4.40500020980835 0.5099999904632568 0.0 0.9139999747276306 -9.0
12.600000381469727 12.5 29.25469970703125 29.25160026550293 5.807799816131592 35.355899810791016 22.249300003051758 0.4339999854564667 4.375999927520752 0.5099999904632568 0.0 0.9700000286102295 -9.0
13.100000381469727 13.0 29.245899200439453 29.242799758911133 5.809599876403809 35.37459945678711 22.266199111938477 0.28600001335144043 4.331999778747559 0.5099999904632568 0.0 1.0440000295639038 -9.0
13.600000381469727 13.5 29.224599838256836 29.22130012512207 5.811100006103516 35.400699615478516 22.293100357055664 0.3970000147819519 4.290999889373779 0.5099999904632568 0.0 1.0449999570846558 -9.0
14.100000381469727 14.0 29.188800811767578 29.185300827026367 5.809800148010254 35.41790008544922 22.318099975585938 0.45100000500679016 4.258999824523926 0.5099999904632568 0.0 1.0460000038146973 -9.0
14.600000381469727 14.5 29.16860008239746 29.165000915527344 5.808499813079834 35.424198150634766 22.329599380493164 0.3179999887943268 4.242000102996826 0.5099999904632568 0.0 1.0369999408721924 -9.0
15.100000381469727 15.0 29.167200088500977 29.16349983215332 5.809100151062012 35.4286994934082 22.333499908447266 0.11299999803304672 4.26800012588501 0.5099999904632568 0.0 1.0570000410079956 -9.0
15.600000381469727 15.5 29.17020034790039 29.166400909423828 5.815899848937988 35.47330093383789 22.365999221801758 0.1469999998807907 4.285999774932861 0.5099999904632568 0.0 1.093000054359436 -9.0
16.100000381469727 16.0 29.17729949951172 29.17340087890625 5.827199935913086 35.5452995300293 22.417800903320312 0.13699999451637268 4.306000232696533 0.5099999904632568 0.0 1.024999976158142 -9.0
16.600000381469727 16.5 29.107500076293945 29.1033992767334 5.828400135040283 35.605899810791016 22.4867000579834 0.2549999952316284 4.336999893188477 0.5099999904632568 0.0 1.0160000324249268 -9.0
17.100000381469727 17.0 29.042600631713867 29.038400650024414 5.823800086975098 35.62189865112305 22.520599365234375 0.14499999582767487 4.35699987411499 0.5099999904632568 0.0 1.0549999475479126 -9.0
17.600000381469727 17.5 28.928600311279297 28.924400329589844 5.813300132751465 35.6343994140625 22.568099975585938 0.10999999940395355 4.372000217437744 0.5099999904632568 0.0 1.0199999809265137 -9.0
18.100000381469727 18.0 28.577299118041992 28.572999954223633 5.780099868774414 35.66709899902344 22.709699630737305 0.11500000208616257 4.336999893188477 0.5099999904632568 0.0 1.0950000286102295 -9.0
18.600000381469727 18.5 28.27630043029785 28.271900177001953 5.74970006942749 35.68190002441406 22.82040023803711 0.11500000208616257 4.214000225067139 0.5099999904632568 0.0 1.3070000410079956 -9.0

In total, there are 35 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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