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Dataset Title:  "LATEX CTD - d94h032.nc - 28.97N, 90.51W - 1994-04-27" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h032)
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: 18)
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   18 options
    depth ?  =  m   18 options
    temperature ?  =  degree_C   18 options
    potentialTemperature ?  =  degree_C   18 options
    conductivity ?  =  Siemens per meter   18 options
    salinity ?  =  PSU   18 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   18 options
    transmission ?  =  percent   18 options
    par ?  =  umol m-2 s-1   6 options
    parv ?  =  volts   6 options
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   17 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
2.0 2.0 23.7406005859375 23.74020004272461 3.9697999954223633 26.02519989013672 16.93790054321289 0.25600001215934753 3.2170000076293945 1.559999942779541 0.5239999890327454 2.8429999351501465 0.21699999272823334
2.5 2.5 23.730100631713867 23.72960090637207 3.9853999614715576 26.145200729370117 17.0314998626709 0.3799999952316284 3.2249999046325684 1.059999942779541 0.35600000619888306 2.8299999237060547 0.20600000023841858
3.0 3.0 23.726999282836914 23.72640037536621 3.9763998985290527 26.080799102783203 16.983800888061523 0.5370000004768372 3.257999897003174 0.9100000262260437 0.289000004529953 2.8299999237060547 0.1899999976158142
3.5 3.5 23.719600677490234 23.718900680541992 3.9828999042510986 26.132299423217773 17.024700164794922 0.5170000195503235 3.2309999465942383 0.7799999713897705 0.2240000069141388 2.763000011444092 0.1899999976158142
4.0 4.0 23.73870086669922 23.737899780273438 3.974299907684326 26.058399200439453 16.963499069213867 0.6949999928474426 3.253999948501587 0.5099999904632568 0.041999999433755875 2.9509999752044678 0.1940000057220459
4.5 4.5 23.69890022277832 23.697999954223633 4.0152997970581055 26.38089942932129 17.218000411987305 0.49799999594688416 3.061000108718872 0.4699999988079071 0.0 2.8340001106262207 0.20800000429153442
5.0 5.0 23.657699584960938 23.656700134277344 4.084000110626221 26.907499313354492 17.626800537109375 0.7440000176429749 2.489000082015991 0.4699999988079071 0.0 2.8259999752044678 0.37400001287460327
5.5 5.5 23.616500854492188 23.615400314331055 4.152599811553955 27.436399459838867 18.037500381469727 0.628000020980835 2.61299991607666 0.4699999988079071 0.0 2.703000068664551 0.4020000100135803
6.0 6.0 23.52989959716797 23.52869987487793 4.241099834442139 28.14229965209961 18.59480094909668 0.5210000276565552 2.4590001106262207 0.4699999988079071 0.0 2.5179998874664307 0.597000002861023
6.5 6.5 23.411500930786133 23.410200119018555 4.40910005569458 29.46660041809082 19.62849998474121 0.5830000042915344 2.197000026702881 0.4699999988079071 0.0 2.3359999656677246 0.7110000252723694
7.0 7.0 23.39109992980957 23.389699935913086 4.429999828338623 29.635700225830078 19.762100219726562 0.3889999985694885 1.930999994277954 0.4699999988079071 0.0 2.128000020980835 0.675000011920929
7.599999904632568 7.5 23.456300735473633 23.45479965209961 4.348400115966797 28.984899520874023 19.25200080871582 0.5339999794960022 1.8450000286102295 0.4699999988079071 0.0 2.0239999294281006 0.5640000104904175
8.100000381469727 8.0 23.488399505615234 23.486799240112305 4.298299789428711 28.591899871826172 18.945899963378906 0.5120000243186951 1.9079999923706055 0.4699999988079071 0.0 2.0869998931884766 0.47600001096725464
8.600000381469727 8.5 23.565500259399414 23.563800811767578 4.198999881744385 27.8085994720459 18.332700729370117 0.3610000014305115 2.694000005722046 0.4699999988079071 0.0 2.378000020980835 0.32499998807907104
9.100000381469727 9.0 23.554000854492188 23.552200317382812 4.234799861907959 28.07979965209961 18.540599822998047 0.5289999842643738 2.8510000705718994 0.4699999988079071 0.0 2.6419999599456787 0.3310000002384186
9.600000381469727 9.5 23.542499542236328 23.540599822998047 4.270599842071533 28.35140037536621 18.749099731445312 0.4790000021457672 2.305000066757202 0.4699999988079071 0.0 2.3519999980926514 0.8090000152587891
10.100000381469727 10.0 23.425800323486328 23.423799514770508 4.459499835968018 29.831600189208984 19.900299072265625 0.5419999957084656 1.2489999532699585 0.4699999988079071 0.0 1.656999945640564 1.3270000219345093
10.600000381469727 10.5 23.309099197387695 23.30699920654297 4.648399829864502 31.32939910888672 21.066200256347656 0.3619999885559082 1.1089999675750732 0.4699999988079071 0.0 1.6540000438690186 1.4639999866485596

In total, there are 18 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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