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Dataset Title:  "NEGOM CTD - n1l02s01.nc - 29.56N, 88.65W - 1997-11-25" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l02s01)
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: 37)
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   37 options
    depth ?  =  m   37 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   31 options
    conductivity ?  =  Siemens per meter   10 options
    salinity ?  =  PSU   12 options
    sigmat ?  =  kg m-3   24 options
    descentRate ?  =  meters per second   36 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   37 options
    parv ?  =  volts   37 options
    fluorescence ?  =  volts   31 options
    backscattering ?  =  volts   27 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 20.68790054321289 20.6875 4.900000095367432 35.30820083618164 24.81329917907715 -0.07999999821186066 3.7269999980926514 3725.0 3.825000047683716 1.215999960899353 -9.0
2.5 2.5 20.68790054321289 20.687400817871094 4.900000095367432 35.30759811401367 24.81290054321289 0.09399999678134918 3.736999988555908 1397.0 3.2880001068115234 1.2619999647140503 -9.0
3.0 3.0 20.688400268554688 20.68779945373535 4.900100231170654 35.30799865722656 24.812999725341797 1.0169999599456787 3.7260000705718994 1137.0 3.2090001106262207 1.2710000276565552 -9.0
3.5 3.5 20.688899993896484 20.688199996948242 4.900199890136719 35.307899475097656 24.81290054321289 0.9559999704360962 3.7160000801086426 1189.0 3.2290000915527344 1.2710000276565552 -9.0
4.0 4.0 20.68899917602539 20.688199996948242 4.900199890136719 35.308101654052734 24.813100814819336 0.6759999990463257 3.7239999771118164 965.7000122070312 3.135999917984009 1.2829999923706055 0.5210000276565552
4.5 4.5 20.689699172973633 20.688800811767578 4.900300025939941 35.30820083618164 24.81290054321289 0.5989999771118164 3.7339999675750732 852.9000244140625 3.0840001106262207 1.312000036239624 0.527999997138977
5.0 5.0 20.689199447631836 20.688199996948242 4.900300025939941 35.308101654052734 24.813100814819336 0.8930000066757202 3.7219998836517334 693.5999755859375 2.993000030517578 1.465999960899353 0.5350000262260437
5.5 5.5 20.689800262451172 20.688800811767578 4.900400161743164 35.30830001831055 24.812999725341797 0.8610000014305115 3.7309999465942383 615.0 2.943000078201294 1.6260000467300415 0.5429999828338623
6.0 6.0 20.68950080871582 20.688400268554688 4.900400161743164 35.30830001831055 24.813199996948242 0.6330000162124634 3.7230000495910645 595.2999877929688 2.927999973297119 1.5570000410079956 0.5509999990463257
6.5 6.5 20.68790054321289 20.68670082092285 4.900199890136719 35.308101654052734 24.813499450683594 0.27900001406669617 3.7179999351501465 515.0 2.865000009536743 1.4630000591278076 0.5320000052452087
7.0 7.0 20.685800552368164 20.684499740600586 4.900000095367432 35.307899475097656 24.813899993896484 0.609000027179718 3.7230000495910645 461.79998779296875 2.818000078201294 1.5399999618530273 0.5550000071525574
7.599999904632568 7.5 20.68630027770996 20.684900283813477 4.900100231170654 35.308101654052734 24.813899993896484 0.7570000290870667 3.7119998931884766 386.6000061035156 2.740999937057495 1.5010000467300415 0.5609999895095825
8.100000381469727 8.0 20.68549919128418 20.68400001525879 4.900000095367432 35.30799865722656 24.81410026550293 0.75 3.7260000705718994 379.79998779296875 2.7330000400543213 1.4700000286102295 0.5360000133514404
8.600000381469727 8.5 20.685800552368164 20.684200286865234 4.900100231170654 35.30799865722656 24.81399917602539 0.5559999942779541 3.7239999771118164 339.29998779296875 2.684000015258789 1.4459999799728394 0.5260000228881836
9.100000381469727 9.0 20.68560028076172 20.683900833129883 4.900100231170654 35.307899475097656 24.81410026550293 0.22100000083446503 3.7149999141693115 294.79998779296875 2.622999906539917 1.444000005722046 0.5580000281333923
9.600000381469727 9.5 20.683799743652344 20.68199920654297 4.899899959564209 35.308101654052734 24.814699172973633 0.5139999985694885 3.7230000495910645 254.60000610351562 2.559000015258789 1.4620000123977661 0.550000011920929
10.100000381469727 10.0 20.684600830078125 20.68269920349121 4.900000095367432 35.308101654052734 24.81450080871582 0.7009999752044678 3.7260000705718994 236.6999969482422 2.5280001163482666 1.4529999494552612 0.5329999923706055
10.600000381469727 10.5 20.684099197387695 20.682100296020508 4.900000095367432 35.307899475097656 24.814599990844727 0.7089999914169312 3.7230000495910645 228.6999969482422 2.513000011444092 1.465000033378601 0.5410000085830688
11.100000381469727 11.0 20.684900283813477 20.68280029296875 4.900100231170654 35.308101654052734 24.81450080871582 0.5009999871253967 3.7209999561309814 195.0 2.443000078201294 1.465000033378601 0.5299999713897705
11.600000381469727 11.5 20.684900283813477 20.68269920349121 4.900100231170654 35.307899475097656 24.81439971923828 0.2329999953508377 3.7300000190734863 169.0 2.38100004196167 1.4819999933242798 0.5189999938011169
12.100000381469727 12.0 20.68429946899414 20.68199920654297 4.900100231170654 35.308101654052734 24.814699172973633 0.46000000834465027 3.7309999465942383 155.0 2.3440001010894775 1.4509999752044678 0.527999997138977
12.600000381469727 12.5 20.684200286865234 20.681800842285156 4.900100231170654 35.30799865722656 24.814699172973633 0.5099999904632568 3.7339999675750732 147.5 2.322000026702881 1.4459999799728394 0.5270000100135803
13.100000381469727 13.0 20.6835994720459 20.681100845336914 4.900100231170654 35.308101654052734 24.814899444580078 0.5180000066757202 3.7330000400543213 134.0 2.2809998989105225 1.4570000171661377 0.515999972820282
13.600000381469727 13.5 20.683000564575195 20.680400848388672 4.900000095367432 35.30799865722656 24.815000534057617 0.46799999475479126 3.7320001125335693 117.19999694824219 2.2219998836517334 1.4490000009536743 0.503000020980835
14.100000381469727 14.0 20.6835994720459 20.68090057373047 4.900100231170654 35.307899475097656 24.814899444580078 0.27000001072883606 3.7309999465942383 103.5 2.1679999828338623 1.4429999589920044 0.5080000162124634
14.600000381469727 14.5 20.68280029296875 20.68000030517578 4.900000095367432 35.307701110839844 24.814899444580078 0.6079999804496765 3.734999895095825 101.9000015258789 2.1619999408721924 1.4450000524520874 0.5130000114440918
15.100000381469727 15.0 20.681299209594727 20.67840003967285 4.899899959564209 35.30780029296875 24.815399169921875 0.7250000238418579 3.740999937057495 89.11000061035156 2.1029999256134033 1.4490000009536743 0.5099999904632568
15.600000381469727 15.5 20.680700302124023 20.67770004272461 4.899899959564209 35.307899475097656 24.81570053100586 0.6100000143051147 3.7309999465942383 76.69999694824219 2.0380001068115234 1.4390000104904175 0.5059999823570251
16.100000381469727 16.0 20.681100845336914 20.6781005859375 4.899899959564209 35.30780029296875 24.81559944152832 0.2409999966621399 3.7339999675750732 67.58000183105469 1.9830000400543213 1.434000015258789 0.5189999938011169
16.600000381469727 16.5 20.68120002746582 20.6781005859375 4.899899959564209 35.307701110839844 24.815500259399414 0.34299999475479126 3.740000009536743 67.16999816894531 1.9800000190734863 1.4160000085830688 0.5320000052452087
17.100000381469727 17.0 20.680299758911133 20.677099227905273 4.899899959564209 35.307701110839844 24.815799713134766 0.5569999814033508 3.740000009536743 57.33000183105469 1.9110000133514404 1.4850000143051147 0.5130000114440918
17.600000381469727 17.5 20.680299758911133 20.677000045776367 4.899899959564209 35.30780029296875 24.815799713134766 0.4950000047683716 3.740999937057495 50.900001525878906 1.8600000143051147 1.4950000047683716 0.4950000047683716
18.100000381469727 18.0 20.677400588989258 20.673999786376953 4.899600028991699 35.30739974975586 24.8164005279541 0.27000001072883606 3.75600004196167 46.040000915527344 1.8170000314712524 1.4539999961853027 0.5210000276565552
18.600000381469727 18.5 20.670299530029297 20.666799545288086 4.898799896240234 35.306800842285156 24.817800521850586 0.4519999921321869 3.7639999389648438 43.279998779296875 1.7899999618530273 1.4270000457763672 0.5460000038146973
19.100000381469727 19.0 20.667699813842773 20.664100646972656 4.898499965667725 35.30649948120117 24.81839942932129 0.15299999713897705 3.7760000228881836 38.27000045776367 1.7359999418258667 1.444000005722046 0.4950000047683716
19.600000381469727 19.5 20.667400360107422 20.663700103759766 4.898499965667725 35.30670166015625 24.818599700927734 0.17900000512599945 3.7660000324249268 34.93000030517578 1.6970000267028809 1.4420000314712524 0.503000020980835
20.100000381469727 20.0 20.667699813842773 20.66390037536621 4.898600101470947 35.306800842285156 24.818599700927734 0.07999999821186066 3.7730000019073486 31.389999389648438 1.6510000228881836 1.4429999589920044 0.5040000081062317

In total, there are 37 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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