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Dataset Title:  "LATEX CTD - d92c024.nc - 29.32N, 94.0W - 1992-11-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d92c024)
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: 17)
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   17 options
    depth ?  =  m   17 options
    temperature ?  =  degree_C   17 options
    potentialTemperature ?  =  degree_C   17 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   17 options
    sigmat ?  =  kg m-3   16 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   6 options
    parv ?  =  volts   6 options
    fluorescence ?  =  volts   17 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
3.5 3.5 20.621700286865234 20.6210994720459 4.261199951171875 30.24810028076172 20.981700897216797 0.0010000000474974513 3.4790000915527344 0.46000000834465027 0.6880000233650208 0.9169999957084656 -9.0
4.0 4.0 20.61870002746582 20.618000030517578 4.2606000900268555 30.245800018310547 20.98069953918457 0.19099999964237213 3.546999931335449 0.23000000417232513 0.3970000147819519 1.0210000276565552 -9.0
4.5 4.5 20.616600036621094 20.615800857543945 4.260300159454346 30.244699478149414 20.980499267578125 0.44600000977516174 3.5769999027252197 0.17000000178813934 0.24799999594688416 1.0399999618530273 -9.0
5.0 5.0 20.62030029296875 20.619400024414062 4.261199951171875 30.249300003051758 20.982799530029297 0.5019999742507935 3.569000005722046 0.10999999940395355 0.07599999755620956 1.0449999570846558 -9.0
5.5 5.5 20.61709976196289 20.616100311279297 4.26039981842041 30.245100021362305 20.980499267578125 0.2840000092983246 3.578000068664551 0.10000000149011612 0.008999999612569809 1.1670000553131104 -9.0
6.0 6.0 20.61199951171875 20.61090087890625 4.2596001625061035 30.242000579833984 20.97960090637207 0.33000001311302185 3.5880000591278076 0.09000000357627869 0.0 1.0390000343322754 -9.0
6.5 6.5 20.61359977722168 20.61240005493164 4.260000228881836 30.243900299072266 20.980600357055664 0.527999997138977 3.5899999141693115 0.09000000357627869 0.0 1.1790000200271606 -9.0
7.0 7.0 20.613300323486328 20.61199951171875 4.260000228881836 30.243999481201172 20.980899810791016 0.49799999594688416 3.5920000076293945 0.09000000357627869 0.0 1.0870000123977661 -9.0
7.599999904632568 7.5 20.63450050354004 20.633100509643555 4.264400005340576 30.263500213623047 20.990100860595703 0.2070000022649765 3.5829999446868896 0.09000000357627869 0.0 1.1299999952316284 -9.0
8.100000381469727 8.0 20.65999984741211 20.65850067138672 4.271200180053711 30.299100875854492 21.010400772094727 0.1770000010728836 3.571000099182129 0.09000000357627869 0.0 1.4670000076293945 -9.0
8.600000381469727 8.5 20.70159912109375 20.700000762939453 4.283199787139893 30.36389923095703 21.048799514770508 0.531000018119812 3.569999933242798 0.09000000357627869 0.0 1.7109999656677246 -9.0
9.100000381469727 9.0 20.737600326538086 20.73590087890625 4.293099880218506 30.416400909423828 21.079200744628906 0.6600000262260437 3.565000057220459 0.09000000357627869 0.0 1.8029999732971191 -9.0
9.600000381469727 9.5 20.77359962463379 20.771799087524414 4.302999973297119 30.468900680541992 21.109600067138672 0.6309999823570251 3.3959999084472656 0.09000000357627869 0.0 2.5739998817443848 -9.0
10.100000381469727 10.0 20.784000396728516 20.78219985961914 4.305099964141846 30.478200912475586 21.11400032043457 0.3610000014305115 3.263000011444092 0.09000000357627869 0.0 2.2160000801086426 -9.0
10.600000381469727 10.5 20.79450035095215 20.792499542236328 4.307300090789795 30.487499237060547 21.118200302124023 0.22200000286102295 3.509000062942505 0.09000000357627869 0.0 1.49399995803833 -9.0
11.100000381469727 11.0 20.80270004272461 20.80069923400879 4.309599876403809 30.49970054626465 21.12540054321289 0.675000011920929 3.2249999046325684 0.09000000357627869 0.0 1.2330000400543213 -9.0
11.600000381469727 11.5 20.804500579833984 20.802400588989258 4.309999942779541 30.501100540161133 21.125900268554688 0.5989999771118164 3.174999952316284 0.09000000357627869 0.0 1.3140000104904175 -9.0

In total, there are 17 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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