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Dataset Title:  "NEGOM CTD - n3l02s00.nc - 29.78N, 88.75W - 1998-00-05" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n3l02s00)
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: 22)
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   22 options
    depth ?  =  m   22 options
    temperature ?  =  degree_C   22 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   21 options
    salinity ?  =  PSU   22 options
    sigmat ?  =  kg m-3   22 options
    descentRate ?  =  meters per second   22 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   22 options
    parv ?  =  volts   22 options
    fluorescence ?  =  volts   20 options
    backscattering ?  =  volts   21 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
2.5 2.5 28.76930046081543 28.768699645996094 4.828999996185303 29.0310001373291 17.665300369262695 0.012000000104308128 3.312999963760376 129.60000610351562 2.4140000343322754 1.975000023841858 0.5040000081062317
3.0 3.0 28.775800704956055 28.775100708007812 4.829999923706055 29.033599853515625 17.665199279785156 0.2750000059604645 3.305999994277954 113.5 2.3529999256134033 1.9700000286102295 0.4830000102519989
3.5 3.5 28.776399612426758 28.77560043334961 4.829999923706055 29.03350067138672 17.665000915527344 0.20399999618530273 3.309000015258789 93.80000305175781 2.2709999084472656 1.9589999914169312 0.4860000014305115
4.0 4.0 28.775100708007812 28.774099349975586 4.829800128936768 29.03230094909668 17.664499282836914 0.34200000762939453 3.306999921798706 77.58999633789062 2.188999891281128 1.965999960899353 0.4880000054836273
4.5 4.5 28.77680015563965 28.775699615478516 4.830100059509277 29.033300399780273 17.66469955444336 0.25200000405311584 3.306999921798706 63.47999954223633 2.0999999046325684 1.9800000190734863 0.4830000102519989
5.0 5.0 28.779300689697266 28.778099060058594 4.830699920654297 29.035600662231445 17.665700912475586 0.23999999463558197 3.305999994277954 51.72999954223633 2.013000011444092 1.9800000190734863 0.49000000953674316
5.5 5.5 28.77989959716797 28.778600692749023 4.8308000564575195 29.036300659179688 17.666099548339844 0.3009999990463257 3.312999963760376 43.22999954223633 1.934000015258789 1.9869999885559082 0.45899999141693115
6.0 6.0 28.777099609375 28.775699615478516 4.8302001953125 29.033700942993164 17.66510009765625 0.23399999737739563 3.308000087738037 35.11000061035156 1.843999981880188 2.0 0.4650000035762787
6.5 6.5 28.78070068359375 28.779199600219727 4.831299781799316 29.03849983215332 17.667600631713867 0.2930000126361847 3.312999963760376 29.290000915527344 1.7649999856948853 1.9900000095367432 0.4699999988079071
7.0 7.0 28.791799545288086 28.79010009765625 4.834000110626221 29.050100326538086 17.67259979248047 0.2329999953508377 3.315999984741211 24.3700008392334 1.684999942779541 1.9889999628067017 0.48399999737739563
7.599999904632568 7.5 28.80699920654297 28.805200576782227 4.838399887084961 29.070100784301758 17.68269920349121 0.2840000092983246 3.302000045776367 20.31999969482422 1.6069999933242798 2.009999990463257 0.4790000021457672
8.100000381469727 8.0 28.838600158691406 28.836700439453125 4.849299907684326 29.124099731445312 17.712900161743164 0.2669999897480011 3.303999900817871 17.149999618530273 1.5329999923706055 2.0169999599456787 0.4569999873638153
8.600000381469727 8.5 28.862600326538086 28.860599517822266 4.862199783325195 29.195499420166016 17.75860023498535 0.24500000476837158 3.306999921798706 14.380000114440918 1.4570000171661377 2.009000062942505 0.45100000500679016
9.100000381469727 9.0 28.87339973449707 28.871299743652344 4.868299961090088 29.229900360107422 17.780799865722656 0.26499998569488525 3.328000068664551 12.319999694824219 1.3890000581741333 2.0329999923706055 0.44999998807907104
9.600000381469727 9.5 28.876399993896484 28.874099731445312 4.869900226593018 29.238500595092773 17.786300659179688 0.27000001072883606 3.3389999866485596 10.550000190734863 1.3220000267028809 2.0260000228881836 0.44200000166893005
10.100000381469727 10.0 28.890899658203125 28.888500213623047 4.873300075531006 29.252300262451172 17.791900634765625 0.24799999594688416 3.3450000286102295 9.069999694824219 1.25600004196167 2.0299999713897705 0.45399999618530273
10.600000381469727 10.5 28.935300827026367 28.93280029296875 4.884699821472168 29.301700592041016 17.81439971923828 0.1850000023841858 3.3350000381469727 7.900000095367432 1.1970000267028809 2.0260000228881836 0.4440000057220459
11.100000381469727 11.0 28.946500778198242 28.943899154663086 5.043300151824951 30.361000061035156 18.604000091552734 0.11900000274181366 3.434000015258789 6.880000114440918 1.1360000371932983 1.9559999704360962 0.3840000033378601
11.600000381469727 11.5 28.67099952697754 28.66819953918457 5.202199935913086 31.617000579833984 19.63559913635254 0.18799999356269836 3.9790000915527344 6.039999961853027 1.0800000429153442 1.718999981880188 0.26499998569488525
12.100000381469727 12.0 28.5044002532959 28.50149917602539 5.216100215911865 31.822399139404297 19.844200134277344 0.17900000512599945 4.000999927520752 5.199999809265137 1.0149999856948853 1.5729999542236328 0.27799999713897705
12.600000381469727 12.5 28.36389923095703 28.36090087890625 5.234300136566162 32.041900634765625 20.054800033569336 0.15600000321865082 3.9189999103546143 4.489999771118164 0.9520000219345093 1.5240000486373901 0.3089999854564667
13.100000381469727 13.0 27.880699157714844 27.877700805664062 5.2444000244140625 32.440799713134766 20.51110076904297 0.1289999932050705 3.8550000190734863 3.9800000190734863 0.8989999890327454 1.5019999742507935 0.382999986410141

In total, there are 22 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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