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Dataset Title:  "LATEX CTD - d93f065.nc - 29.04N, 92.0W - 1993-07-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f065)
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: 27)
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   27 options
    depth ?  =  m   27 options
    temperature ?  =  degree_C   27 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   27 options
    sigmat ?  =  kg m-3   27 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   27 options
    parv ?  =  volts   27 options
    fluorescence ?  =  volts   27 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 32.33140182495117 32.33110046386719 4.587699890136719 25.502199172973633 13.835599899291992 -0.032999999821186066 3.815000057220459 121.0 2.371000051498413 1.9220000505447388 -9.0
2.0 2.0 32.00189971923828 32.001399993896484 4.548500061035156 25.425399780273438 13.892499923706055 0.17100000381469727 3.818000078201294 93.5 2.259000062942505 1.902999997138977 -9.0
2.5 2.5 31.822099685668945 31.821399688720703 4.5395002365112305 25.460599899291992 13.980899810791016 0.2529999911785126 3.808000087738037 76.69999694824219 2.1730000972747803 1.8860000371932983 -9.0
3.0 3.0 31.668800354003906 31.668100357055664 4.5366997718811035 25.521299362182617 14.078700065612793 0.2849999964237213 3.805000066757202 61.599998474121094 2.078000068664551 1.9010000228881836 -9.0
3.5 3.5 31.51689910888672 31.51609992980957 4.528500080108643 25.547500610351562 14.150300025939941 0.48100000619888306 3.822000026702881 51.599998474121094 2.000999927520752 1.8559999465942383 -9.0
4.0 4.0 31.263999938964844 31.26300048828125 4.536600112915039 25.72920036315918 14.371899604797363 0.5720000267028809 3.812999963760376 42.20000076293945 1.9129999876022339 1.8459999561309814 -9.0
4.5 4.5 30.986799240112305 30.985700607299805 4.615499973297119 26.37529945373535 14.947400093078613 0.46799999475479126 3.8389999866485596 34.900001525878906 1.8309999704360962 1.809999942779541 -9.0
5.0 5.0 30.92180061340332 30.920499801635742 4.665500164031982 26.728900909423828 15.233099937438965 0.28700000047683716 3.884000062942505 29.399999618530273 1.75600004196167 1.7330000400543213 -9.0
5.5 5.5 30.688499450683594 30.68709945678711 4.719600200653076 27.202899932861328 15.665399551391602 0.4880000054836273 3.946000099182129 24.899999618530273 1.684999942779541 1.7869999408721924 -9.0
6.0 6.0 30.52790069580078 30.526399612426758 4.741600036621094 27.433799743652344 15.891799926757812 0.5699999928474426 3.9660000801086426 21.600000381469727 1.6230000257492065 1.8289999961853027 -9.0
6.5 6.5 30.3705997467041 30.368999481201172 4.794099807739258 27.862699508666992 16.26490020751953 0.49399998784065247 3.996000051498413 19.299999237060547 1.5729999542236328 1.840999960899353 -9.0
7.0 7.0 30.299100875854492 30.297399520874023 4.837500095367432 28.185300827026367 16.529800415039062 0.31299999356269836 4.013000011444092 17.100000381469727 1.5219999551773071 1.8450000286102295 -9.0
7.599999904632568 7.5 29.969999313354492 29.96820068359375 4.8653998374938965 28.559099197387695 16.919099807739258 0.2750000059604645 4.011000156402588 15.5 1.4780000448226929 1.815000057220459 -9.0
8.100000381469727 8.0 29.511899948120117 29.509899139404297 4.887400150299072 28.976299285888672 17.38330078125 0.14800000190734863 4.0320000648498535 14.0 1.4329999685287476 1.8309999704360962 -9.0
8.600000381469727 8.5 28.451499938964844 28.449600219726562 4.952899932861328 30.07699966430664 18.553800582885742 0.13500000536441803 4.03000020980835 12.5 1.3839999437332153 1.8339999914169312 -9.0
9.100000381469727 9.0 26.76849937438965 26.76650047302246 5.1493000984191895 32.55329895019531 20.951900482177734 0.15299999713897705 3.7269999980926514 11.0 1.3289999961853027 2.128000020980835 -9.0
9.600000381469727 9.5 26.46150016784668 26.459299087524414 5.2230000495910645 33.2947998046875 21.606399536132812 0.12700000405311584 3.6619999408721924 9.699999809265137 1.274999976158142 2.313999891281128 -9.0
10.100000381469727 10.0 26.25160026550293 26.249300003051758 5.265500068664551 33.75389862060547 22.017900466918945 0.12099999934434891 3.994999885559082 8.550000190734863 1.2200000286102295 2.128999948501587 -9.0
10.600000381469727 10.5 25.74959945678711 25.747299194335938 5.242400169372559 33.9567985534668 22.326400756835938 0.13899999856948853 4.11299991607666 6.869999885559082 1.125 2.134999990463257 -9.0
11.100000381469727 11.0 25.01289939880371 25.010400772094727 5.189199924468994 34.118099212646484 22.673599243164062 0.12099999934434891 4.140999794006348 5.96999979019165 1.0640000104904175 2.0309998989105225 -9.0
11.600000381469727 11.5 24.116300582885742 24.113800048828125 5.116799831390381 34.26070022583008 23.04990005493164 0.11599999666213989 3.861999988555908 5.440000057220459 1.0240000486373901 2.0759999752044678 -9.0
12.100000381469727 12.0 23.69569969177246 23.693199157714844 5.086100101470947 34.35279846191406 23.24340057373047 0.11699999868869781 3.315000057220459 5.0 0.9869999885559082 1.944000005722046 -9.0
12.600000381469727 12.5 23.605899810791016 23.603300094604492 5.079100131988525 34.369598388671875 23.282400131225586 0.11500000208616257 3.1059999465942383 4.440000057220459 0.9359999895095825 1.7990000247955322 -9.0
13.100000381469727 13.0 23.5137996673584 23.51110076904297 5.073999881744385 34.40190124511719 23.333799362182617 0.11599999666213989 3.131999969482422 3.390000104904175 0.8190000057220459 1.8240000009536743 -9.0
13.600000381469727 13.5 23.44059944152832 23.43779945373535 5.070499897003174 34.43170166015625 23.377700805664062 0.1770000010728836 3.2839999198913574 2.299999952316284 0.6499999761581421 1.8839999437332153 -9.0
14.100000381469727 14.0 23.3710994720459 23.368099212646484 5.067399978637695 34.462398529052734 23.421199798583984 0.11999999731779099 3.384000062942505 1.4900000095367432 0.4620000123977661 1.9450000524520874 -9.0
14.600000381469727 14.5 23.313400268554688 23.310400009155273 5.065000057220459 34.488800048828125 23.45789909362793 0.125 3.430999994277954 1.0299999713897705 0.30000001192092896 1.9670000076293945 -9.0

In total, there are 27 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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