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Dataset Title:  "NEGOM CTD - n5l01s01.nc - 29.06N, 89.03W - 1999-05-27" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l01s01)
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   25 options
    sigmat ?  =  kg m-3   27 options
    descentRate ?  =  meters per second   26 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   27 options
    parv ?  =  volts   27 options
    fluorescence ?  =  volts   24 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
2.5 2.5 23.324499130249023 23.323999404907227 5.035399913787842 34.25360107421875 23.274099349975586 0.07800000160932541 2.365999937057495 1847.0 2.8889999389648438 2.3010001182556152 1.8969999551773071
3.0 3.0 23.014699935913086 23.01409912109375 5.089399814605713 34.9109001159668 23.861900329589844 0.21899999678134918 2.5390000343322754 1221.0 2.696000099182129 1.9329999685287476 1.746999979019165
3.5 3.5 22.54400062561035 22.54330062866211 5.142099857330322 35.69969940185547 24.595699310302734 0.414000004529953 2.7720000743865967 951.5999755859375 2.5869998931884766 1.718999981880188 1.625
4.0 4.0 22.485000610351562 22.48419952392578 5.158100128173828 35.8734016418457 24.74449920654297 0.3919999897480011 3.2170000076293945 739.5999755859375 2.4760000705718994 1.5579999685287476 1.3799999952316284
4.5 4.5 22.306400299072266 22.305500030517578 5.157599925994873 36.016300201416016 24.903900146484375 0.3109999895095825 3.8420000076293945 569.2000122070312 2.36299991607666 1.3919999599456787 1.1349999904632568
5.0 5.0 22.1289005279541 22.127899169921875 5.153299808502197 36.12990188598633 25.040599822998047 0.3659999966621399 4.070000171661377 451.8999938964844 2.2639999389648438 1.2669999599456787 1.090000033378601
5.5 5.5 22.032899856567383 22.03179931640625 5.146500110626221 36.15629959106445 25.08769989013672 0.4230000078678131 4.127999782562256 363.29998779296875 2.1689999103546143 1.184999942779541 0.925000011920929
6.099999904632568 6.0 21.973499298095703 21.972299575805664 5.141200065612793 36.164398193359375 25.110700607299805 0.4059999883174896 4.144999980926514 292.79998779296875 2.075000047683716 1.1180000305175781 0.7599999904632568
6.599999904632568 6.5 21.933500289916992 21.932199478149414 5.14139986038208 36.19929885864258 25.14859962463379 0.3490000069141388 4.1620001792907715 251.10000610351562 2.007999897003174 1.0809999704360962 0.7360000014305115
7.099999904632568 7.0 21.91160011291504 21.910200119018555 5.141600131988525 36.21839904785156 25.169200897216797 0.3230000138282776 4.190999984741211 225.8000030517578 1.9620000123977661 1.0880000591278076 0.7170000076293945
7.599999904632568 7.5 21.890100479125977 21.888599395751953 5.139900207519531 36.2234992980957 25.17919921875 0.38199999928474426 4.202000141143799 208.5 1.9279999732971191 1.0809999704360962 0.6970000267028809
8.100000381469727 8.0 21.880699157714844 21.879100799560547 5.139100074768066 36.22439956665039 25.1825008392334 0.4300000071525574 4.179999828338623 200.89999389648438 1.9119999408721924 1.0570000410079956 0.6940000057220459
8.600000381469727 8.5 21.87529945373535 21.873600006103516 5.138500213623047 36.224098205566406 25.183900833129883 0.37700000405311584 4.158999919891357 190.1999969482422 1.8880000114440918 1.0729999542236328 0.6909999847412109
9.100000381469727 9.0 21.865800857543945 21.86400032043457 5.137400150299072 36.22309875488281 25.185800552368164 0.3019999861717224 4.144000053405762 182.1999969482422 1.86899995803833 1.0959999561309814 0.7379999756813049
9.600000381469727 9.5 21.862300872802734 21.86039924621582 5.13700008392334 36.22309875488281 25.186800003051758 0.28999999165534973 4.146999835968018 174.0 1.850000023841858 1.121000051498413 0.7409999966621399
10.100000381469727 10.0 21.859500885009766 21.857500076293945 5.13670015335083 36.22269821166992 25.187299728393555 0.2800000011920929 4.136000156402588 160.6999969482422 1.815000057220459 1.0920000076293945 0.7680000066757202
10.600000381469727 10.5 21.851299285888672 21.849199295043945 5.135799884796143 36.2224006652832 25.18939971923828 0.24300000071525574 4.098999977111816 152.8000030517578 1.7929999828338623 1.0759999752044678 0.7979999780654907
11.100000381469727 11.0 21.851200103759766 21.849000930786133 5.135700225830078 36.22090148925781 25.18829917907715 0.21400000154972076 4.065000057220459 141.8000030517578 1.7610000371932983 1.0609999895095825 0.7580000162124634
11.600000381469727 11.5 21.82819938659668 21.825899124145508 5.133200168609619 36.220298767089844 25.194400787353516 0.3019999861717224 4.025000095367432 133.1999969482422 1.7330000400543213 1.0959999561309814 0.7770000100135803
12.100000381469727 12.0 21.813499450683594 21.811100006103516 5.1315999031066895 36.21969985961914 25.197999954223633 0.25600001215934753 3.9769999980926514 123.0999984741211 1.6990000009536743 1.0980000495910645 0.8339999914169312
12.600000381469727 12.5 21.77199935913086 21.769500732421875 5.127200126647949 36.21969985961914 25.209699630737305 0.2370000034570694 3.871999979019165 115.69999694824219 1.6720000505447388 1.0700000524520874 0.8379999995231628
13.100000381469727 13.0 21.707199096679688 21.704599380493164 5.120299816131592 36.219200134277344 25.227500915527344 0.2529999911785126 3.7790000438690186 107.9000015258789 1.6419999599456787 1.034999966621399 0.871999979019165
13.600000381469727 13.5 21.63789939880371 21.63520050048828 5.1132001876831055 36.22050094604492 25.247800827026367 0.296999990940094 3.5799999237060547 100.5 1.6109999418258667 1.0549999475479126 0.9829999804496765
14.100000381469727 14.0 21.61989974975586 21.61709976196289 5.1118998527526855 36.224998474121094 25.25629997253418 0.21299999952316284 3.492000102996826 95.0 1.5870000123977661 1.0549999475479126 1.0880000591278076
14.600000381469727 14.5 21.516799926757812 21.513900756835938 5.10099983215332 36.225399017333984 25.285400390625 0.2680000066757202 3.4000000953674316 86.61000061035156 1.5470000505447388 1.0770000219345093 1.1629999876022339
15.100000381469727 15.0 21.411500930786133 21.408599853515625 5.0914998054504395 36.23780059814453 25.323999404907227 0.18400000035762787 3.299999952316284 80.33999633789062 1.5140000581741333 1.0839999914169312 1.2120000123977661
15.600000381469727 15.5 21.27589988708496 21.272899627685547 5.078499794006348 36.24789810180664 25.369300842285156 0.14000000059604645 2.986999988555908 73.11000061035156 1.4730000495910645 1.0230000019073486 1.2130000591278076

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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