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Dataset Title:  "NEGOM CTD - n1l06s01.nc - 30.18N, 85.89W - 1997-11-22" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l06s01)
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: 35)
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   35 options
    depth ?  =  m   35 options
    temperature ?  =  degree_C   35 options
    potentialTemperature ?  =  degree_C   35 options
    conductivity ?  =  Siemens per meter   33 options
    salinity ?  =  PSU   29 options
    sigmat ?  =  kg m-3   35 options
    descentRate ?  =  meters per second   32 options
    transmission ?  =  percent   29 options
    par ?  =  umol m-2 s-1   35 options
    parv ?  =  volts   34 options
    fluorescence ?  =  volts   34 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 20.00279998779297 20.002300262451172 4.753799915313721 34.685699462890625 24.521400451660156 -0.20800000429153442 4.26800012588501 941.4000244140625 3.118000030517578 1.055999994277954 -9.0
3.0 3.0 19.8439998626709 19.843399047851562 4.738100051879883 34.68769836425781 24.564599990844727 0.28299999237060547 4.2779998779296875 1019.0 3.1610000133514404 1.1319999694824219 -9.0
3.5 3.5 19.806900024414062 19.806299209594727 4.734300136566162 34.687400817871094 24.574100494384766 0.1899999976158142 4.271999835968018 890.0 3.0950000286102295 1.1260000467300415 0.01899999938905239
4.0 4.0 19.73579978942871 19.73509979248047 4.727200031280518 34.68709945678711 24.592500686645508 0.4390000104904175 4.276000022888184 935.2999877929688 3.11899995803833 1.1080000400543213 0.05900000035762787
4.5 4.5 19.733600616455078 19.732799530029297 4.7270002365112305 34.68730163574219 24.59320068359375 0.49399998784065247 4.276000022888184 688.0999755859375 2.990000009536743 1.1089999675750732 0.0989999994635582
5.0 5.0 19.75510025024414 19.754199981689453 4.729100227355957 34.6864013671875 24.586999893188477 0.26499998569488525 4.276000022888184 685.0 2.986999988555908 1.149999976158142 0.1080000028014183
5.5 5.5 19.658599853515625 19.65760040283203 4.719399929046631 34.68619918823242 24.61199951171875 0.4189999997615814 4.2729997634887695 538.4000244140625 2.881999969482422 1.1510000228881836 0.11100000143051147
6.0 6.0 19.501300811767578 19.500200271606445 4.70389986038208 34.6890983581543 24.655099868774414 0.4009999930858612 4.271999835968018 557.0 2.8970000743865967 1.1829999685287476 0.1080000028014183
6.5 6.5 19.475099563598633 19.473899841308594 4.701200008392334 34.68790054321289 24.660999298095703 0.38499999046325684 4.264999866485596 569.4000244140625 2.9010000228881836 1.246000051498413 0.10899999737739563
7.0 7.0 19.444499969482422 19.443199157714844 4.698200225830078 34.68870162963867 24.66950035095215 0.44999998807907104 4.258999824523926 473.0 2.828000068664551 1.2730000019073486 0.10899999737739563
7.599999904632568 7.5 19.47719955444336 19.475799560546875 4.701300144195557 34.686798095703125 24.659700393676758 0.34700000286102295 4.252999782562256 473.70001220703125 2.828000068664551 1.3079999685287476 0.11999999731779099
8.100000381469727 8.0 19.47260093688965 19.471099853515625 4.701200008392334 34.68960189819336 24.663000106811523 0.2980000078678131 4.263000011444092 420.20001220703125 2.7760000228881836 1.2589999437332153 0.125
8.600000381469727 8.5 19.492700576782227 19.491199493408203 4.701900005340576 34.67839813232422 24.64929962158203 0.5170000195503235 4.265999794006348 394.8999938964844 2.75 1.2319999933242798 0.11999999731779099
9.100000381469727 9.0 19.477800369262695 19.476200103759766 4.7017998695373535 34.68980026245117 24.661800384521484 0.6370000243186951 4.248000144958496 344.8999938964844 2.690999984741211 1.2410000562667847 0.12099999934434891
9.600000381469727 9.5 19.45199966430664 19.450300216674805 4.69920015335083 34.69020080566406 24.668899536132812 0.5709999799728394 4.26200008392334 315.5 2.6519999504089355 1.2519999742507935 0.11900000274181366
10.100000381469727 10.0 19.431800842285156 19.43000030517578 4.697000026702881 34.68840026855469 24.672700881958008 0.29499998688697815 4.245999813079834 343.70001220703125 2.687999963760376 1.25 0.11699999868869781
10.600000381469727 10.5 19.40369987487793 19.40180015563965 4.694300174713135 34.6890983581543 24.680500030517578 0.5630000233650208 4.228000164031982 275.6000061035156 2.5940001010894775 1.2309999465942383 0.13199999928474426
11.100000381469727 11.0 19.38450050354004 19.38249969482422 4.69290018081665 34.69300079345703 24.688499450683594 0.6790000200271606 4.223999977111816 257.20001220703125 2.563999891281128 1.2239999771118164 0.13500000536441803
11.600000381469727 11.5 19.37179946899414 19.369699478149414 4.691199779510498 34.68939971923828 24.68899917602539 0.6110000014305115 4.234000205993652 272.29998779296875 2.5889999866485596 1.225000023841858 0.11500000208616257
12.100000381469727 12.0 19.360599517822266 19.358400344848633 4.689899921417236 34.68790054321289 24.690799713134766 0.3089999854564667 4.249000072479248 250.0 2.5510001182556152 1.2630000114440918 0.11299999803304672
12.600000381469727 12.5 19.342100143432617 19.339799880981445 4.687600135803223 34.68429946899414 24.692800521850586 0.31299999356269836 4.255000114440918 218.8000030517578 2.49399995803833 1.2599999904632568 0.1120000034570694
13.100000381469727 13.0 19.30419921875 19.30190086364746 4.6834001541137695 34.68050003051758 24.69969940185547 0.4519999921321869 4.260000228881836 205.6999969482422 2.4670000076293945 1.3070000410079956 0.11100000143051147
13.600000381469727 13.5 19.215299606323242 19.212900161743164 4.672800064086914 34.66640090942383 24.71179962158203 0.45899999141693115 4.256999969482422 187.10000610351562 2.4260001182556152 1.2829999923706055 0.11999999731779099
14.100000381469727 14.0 19.16469955444336 19.162200927734375 4.666500091552734 34.65610122680664 24.716899871826172 0.41499999165534973 4.26200008392334 182.8000030517578 2.4149999618530273 1.2910000085830688 0.12600000202655792
14.600000381469727 14.5 19.139400482177734 19.13680076599121 4.6631999015808105 34.64939880371094 24.718299865722656 0.22599999606609344 4.250999927520752 166.1999969482422 2.374000072479248 1.3370000123977661 0.13300000131130219
15.100000381469727 15.0 19.126699447631836 19.124000549316406 4.6616997718811035 34.647098541259766 24.71980094909668 0.2980000078678131 4.236999988555908 150.8000030517578 2.3320000171661377 1.3070000410079956 0.13699999451637268
15.600000381469727 15.5 19.1112003326416 19.108400344848633 4.660200119018555 34.64780044555664 24.724300384521484 0.19200000166893005 4.198999881744385 146.10000610351562 2.318000078201294 1.3819999694824219 0.13899999856948853
16.100000381469727 16.0 19.098899841308594 19.09600067138672 4.65910005569458 34.64830017089844 24.7278995513916 0.26499998569488525 4.210999965667725 136.60000610351562 2.2890000343322754 1.4199999570846558 0.14300000667572021
16.600000381469727 16.5 19.088600158691406 19.085599899291992 4.6579999923706055 34.64789962768555 24.730199813842773 0.19900000095367432 4.223999977111816 128.60000610351562 2.26200008392334 1.4160000085830688 0.2199999988079071
17.100000381469727 17.0 19.088899612426758 19.085899353027344 4.658100128173828 34.648399353027344 24.730499267578125 0.2840000092983246 4.2210001945495605 118.19999694824219 2.2260000705718994 1.4500000476837158 0.2460000067949295
17.600000381469727 17.5 19.087900161743164 19.084800720214844 4.658100128173828 34.64849853515625 24.730899810791016 0.24500000476837158 4.223999977111816 114.0999984741211 2.2100000381469727 1.4570000171661377 0.1770000010728836
18.100000381469727 18.0 19.08639907836914 19.083200454711914 4.657899856567383 34.648399353027344 24.731300354003906 0.1720000058412552 4.2220001220703125 103.5999984741211 2.1689999103546143 1.4989999532699585 0.13699999451637268
18.600000381469727 18.5 19.0841007232666 19.080799102783203 4.657700061798096 34.64830017089844 24.731800079345703 0.2750000059604645 4.205999851226807 96.06999969482422 2.135999917984009 1.4839999675750732 0.13899999856948853
19.100000381469727 19.0 19.082599639892578 19.079200744628906 4.657599925994873 34.64830017089844 24.732099533081055 0.2750000059604645 4.211999893188477 94.9000015258789 2.13100004196167 1.534000039100647 0.14000000059604645
19.600000381469727 19.5 19.080799102783203 19.077299118041992 4.657400131225586 34.64789962768555 24.73240089416504 0.052000001072883606 4.209000110626221 88.54000091552734 2.1010000705718994 1.4270000457763672 0.21299999952316284

In total, there are 35 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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