Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n7l09s05.nc - 29.11N, 84.26W - 1999-11-20" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n7l09s05) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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.
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 | 22.641300201416016 | 22.64080047607422 | 5.162600040435791 | 35.780601501464844 | 24.629199981689453 | 0.15800000727176666 | 4.377999782562256 | -9.0 | -9.0 | 0.9070000052452087 | 0.07999999821186066 |
3.0 | 3.0 | 22.641700744628906 | 22.64109992980957 | 5.162700176239014 | 35.780799865722656 | 24.62929916381836 | 0.3790000081062317 | 4.375999927520752 | -9.0 | -9.0 | 0.9279999732971191 | 0.0729999989271164 |
3.5 | 3.5 | 22.641700744628906 | 22.641000747680664 | 5.162700176239014 | 35.78070068359375 | 24.629199981689453 | 0.34299999475479126 | 4.375999927520752 | -9.0 | -9.0 | 0.8759999871253967 | 0.07699999958276749 |
4.0 | 4.0 | 22.642099380493164 | 22.641300201416016 | 5.162799835205078 | 35.780799865722656 | 24.629199981689453 | 0.21199999749660492 | 4.379000186920166 | -9.0 | -9.0 | 0.8899999856948853 | 0.08100000023841858 |
4.5 | 4.5 | 22.644399642944336 | 22.64349937438965 | 5.163099765777588 | 35.78070068359375 | 24.62849998474121 | 0.328000009059906 | 4.379000186920166 | -9.0 | -9.0 | 0.9110000133514404 | 0.07800000160932541 |
5.0 | 5.0 | 22.645000457763672 | 22.643999099731445 | 5.1631999015808105 | 35.780799865722656 | 24.628400802612305 | 0.4410000145435333 | 4.376999855041504 | -9.0 | -9.0 | 0.9169999957084656 | 0.07800000160932541 |
5.5 | 5.5 | 22.645200729370117 | 22.644100189208984 | 5.1631999015808105 | 35.78070068359375 | 24.628299713134766 | 0.460999995470047 | 4.379000186920166 | -9.0 | -9.0 | 0.925000011920929 | 0.0729999989271164 |
6.0 | 6.0 | 22.64539909362793 | 22.64419937133789 | 5.1631999015808105 | 35.780799865722656 | 24.628400802612305 | 0.367000013589859 | 4.377999782562256 | -9.0 | -9.0 | 0.9369999766349792 | 0.0729999989271164 |
6.5 | 6.5 | 22.64550018310547 | 22.64419937133789 | 5.163300037384033 | 35.78089904785156 | 24.62849998474121 | 0.3659999966621399 | 4.377999782562256 | -9.0 | -9.0 | 0.9169999957084656 | 0.07400000095367432 |
7.0 | 7.0 | 22.645700454711914 | 22.64430046081543 | 5.163300037384033 | 35.780799865722656 | 24.628400802612305 | 0.4699999988079071 | 4.375 | -9.0 | -9.0 | 0.8679999709129333 | 0.07000000029802322 |
7.599999904632568 | 7.5 | 22.646499633789062 | 22.645000457763672 | 5.163400173187256 | 35.780799865722656 | 24.62820053100586 | 0.46700000762939453 | 4.377999782562256 | -9.0 | -9.0 | 0.8840000033378601 | 0.0729999989271164 |
8.100000381469727 | 8.0 | 22.646699905395508 | 22.645099639892578 | 5.16349983215332 | 35.78089904785156 | 24.62820053100586 | 0.4020000100135803 | 4.376999855041504 | -9.0 | -9.0 | 0.9129999876022339 | 0.07699999958276749 |
8.600000381469727 | 8.5 | 22.646699905395508 | 22.645000457763672 | 5.16349983215332 | 35.78089904785156 | 24.62820053100586 | 0.41499999165534973 | 4.377999782562256 | -9.0 | -9.0 | 0.9120000004768372 | 0.07400000095367432 |
9.100000381469727 | 9.0 | 22.646699905395508 | 22.644899368286133 | 5.16349983215332 | 35.780799865722656 | 24.62820053100586 | 0.43299999833106995 | 4.379000186920166 | -9.0 | -9.0 | 0.906000018119812 | 0.07599999755620956 |
9.600000381469727 | 9.5 | 22.64699935913086 | 22.645099639892578 | 5.163599967956543 | 35.78089904785156 | 24.62820053100586 | 0.4429999887943268 | 4.375 | -9.0 | -9.0 | 0.9290000200271606 | 0.07999999821186066 |
10.100000381469727 | 10.0 | 22.64739990234375 | 22.64539909362793 | 5.163599967956543 | 35.780799865722656 | 24.62809944152832 | 0.4749999940395355 | 4.377999782562256 | -9.0 | -9.0 | 0.968999981880188 | 0.07699999958276749 |
10.600000381469727 | 10.5 | 22.647300720214844 | 22.645200729370117 | 5.163700103759766 | 35.78089904785156 | 24.62809944152832 | 0.44699999690055847 | 4.377999782562256 | -9.0 | -9.0 | 0.9509999752044678 | 0.07000000029802322 |
11.100000381469727 | 11.0 | 22.648300170898438 | 22.646099090576172 | 5.16379976272583 | 35.78070068359375 | 24.62779998779297 | 0.4189999997615814 | 4.377999782562256 | -9.0 | -9.0 | 0.9020000100135803 | 0.07400000095367432 |
11.600000381469727 | 11.5 | 22.648000717163086 | 22.645700454711914 | 5.16379976272583 | 35.780799865722656 | 24.628000259399414 | 0.4309999942779541 | 4.377999782562256 | -9.0 | -9.0 | 0.8970000147819519 | 0.07800000160932541 |
12.100000381469727 | 12.0 | 22.648799896240234 | 22.646400451660156 | 5.163899898529053 | 35.78089904785156 | 24.62779998779297 | 0.42800000309944153 | 4.376999855041504 | -9.0 | -9.0 | 0.8970000147819519 | 0.08100000023841858 |
12.600000381469727 | 12.5 | 22.64859962463379 | 22.646099090576172 | 5.163899898529053 | 35.780799865722656 | 24.627899169921875 | 0.42100000381469727 | 4.375999927520752 | -9.0 | -9.0 | 0.875 | 0.07400000095367432 |
13.100000381469727 | 13.0 | 22.64780044555664 | 22.645200729370117 | 5.16379976272583 | 35.780799865722656 | 24.62809944152832 | 0.47200000286102295 | 4.376999855041504 | -9.0 | -9.0 | 0.8820000290870667 | 0.07400000095367432 |
13.600000381469727 | 13.5 | 22.647899627685547 | 22.645099639892578 | 5.163899898529053 | 35.78089904785156 | 24.62809944152832 | 0.49000000953674316 | 4.375999927520752 | -9.0 | -9.0 | 0.9120000004768372 | 0.08100000023841858 |
14.100000381469727 | 14.0 | 22.64739990234375 | 22.644500732421875 | 5.16379976272583 | 35.78089904785156 | 24.628400802612305 | 0.4399999976158142 | 4.377999782562256 | -9.0 | -9.0 | 0.925000011920929 | 0.07999999821186066 |
14.600000381469727 | 14.5 | 22.647300720214844 | 22.64430046081543 | 5.16379976272583 | 35.78099822998047 | 24.62849998474121 | 0.4189999997615814 | 4.377999782562256 | -9.0 | -9.0 | 0.9559999704360962 | 0.07999999821186066 |
15.100000381469727 | 15.0 | 22.647600173950195 | 22.644500732421875 | 5.163899898529053 | 35.78089904785156 | 24.628400802612305 | 0.4180000126361847 | 4.377999782562256 | -9.0 | -9.0 | 0.9559999704360962 | 0.0729999989271164 |
15.600000381469727 | 15.5 | 22.647199630737305 | 22.643999099731445 | 5.163899898529053 | 35.78099822998047 | 24.62849998474121 | 0.42500001192092896 | 4.379000186920166 | -9.0 | -9.0 | 0.925000011920929 | 0.0729999989271164 |
16.100000381469727 | 16.0 | 22.646799087524414 | 22.64349937438965 | 5.163899898529053 | 35.78099822998047 | 24.628700256347656 | 0.47600001096725464 | 4.377999782562256 | -9.0 | -9.0 | 0.8930000066757202 | 0.07699999958276749 |
16.600000381469727 | 16.5 | 22.646900177001953 | 22.64349937438965 | 5.163899898529053 | 35.78110122680664 | 24.628799438476562 | 0.49399998784065247 | 4.377999782562256 | -9.0 | -9.0 | 0.8790000081062317 | 0.07999999821186066 |
17.100000381469727 | 17.0 | 22.64699935913086 | 22.64349937438965 | 5.163899898529053 | 35.78099822998047 | 24.628700256347656 | 0.453000009059906 | 4.379000186920166 | -9.0 | -9.0 | 0.8830000162124634 | 0.0820000022649765 |
17.600000381469727 | 17.5 | 22.6471004486084 | 22.64349937438965 | 5.164000034332275 | 35.78099822998047 | 24.628700256347656 | 0.41100001335144043 | 4.376999855041504 | -9.0 | -9.0 | 0.9359999895095825 | 0.07400000095367432 |
18.100000381469727 | 18.0 | 22.647499084472656 | 22.643800735473633 | 5.164000034332275 | 35.78099822998047 | 24.628599166870117 | 0.37400001287460327 | 4.376999855041504 | -9.0 | -9.0 | 0.9810000061988831 | 0.07400000095367432 |
18.600000381469727 | 18.5 | 22.648399353027344 | 22.64459991455078 | 5.164100170135498 | 35.78089904785156 | 24.628299713134766 | 0.3109999895095825 | 4.375 | -9.0 | -9.0 | 0.9940000176429749 | 0.07500000298023224 |
19.100000381469727 | 19.0 | 22.64940071105957 | 22.64550018310547 | 5.164299964904785 | 35.78089904785156 | 24.62809944152832 | 0.3140000104904175 | 4.379000186920166 | -9.0 | -9.0 | 0.9399999976158142 | 0.07500000298023224 |
19.600000381469727 | 19.5 | 22.650999069213867 | 22.64699935913086 | 5.164400100708008 | 35.780799865722656 | 24.627500534057617 | 0.19300000369548798 | 4.376999855041504 | -9.0 | -9.0 | 0.8939999938011169 | 0.07599999755620956 |
20.100000381469727 | 20.0 | 22.650999069213867 | 22.646900177001953 | 5.1645002365112305 | 35.78089904785156 | 24.627599716186523 | 0.1809999942779541 | 4.375999927520752 | -9.0 | -9.0 | 0.8790000081062317 | 0.07599999755620956 |
20.600000381469727 | 20.5 | 22.650800704956055 | 22.6466007232666 | 5.1645002365112305 | 35.780799865722656 | 24.627700805664062 | 0.210999995470047 | 4.375999927520752 | -9.0 | -9.0 | 0.9330000281333923 | 0.07699999958276749 |
21.100000381469727 | 21.0 | 22.65049934387207 | 22.64620018005371 | 5.1645002365112305 | 35.78089904785156 | 24.62779998779297 | 0.1889999955892563 | 4.377999782562256 | -9.0 | -9.0 | 0.8790000081062317 | 0.07400000095367432 |
21.600000381469727 | 21.5 | 22.650299072265625 | 22.64590072631836 | 5.1645002365112305 | 35.78089904785156 | 24.628000259399414 | 0.21799999475479126 | 4.379000186920166 | -9.0 | -9.0 | 0.8980000019073486 | 0.07100000232458115 |
22.100000381469727 | 22.0 | 22.650299072265625 | 22.64579963684082 | 5.1645002365112305 | 35.78089904785156 | 24.628000259399414 | 0.21899999678134918 | 4.375999927520752 | -9.0 | -9.0 | 0.8790000081062317 | 0.0689999982714653 |
22.700000762939453 | 22.5 | 22.65049934387207 | 22.64590072631836 | 5.1645002365112305 | 35.780799865722656 | 24.627899169921875 | 0.3440000116825104 | 4.375999927520752 | -9.0 | -9.0 | 0.9200000166893005 | 0.06800000369548798 |
23.200000762939453 | 23.0 | 22.65060043334961 | 22.64590072631836 | 5.164599895477295 | 35.78089904785156 | 24.628000259399414 | 0.25 | 4.379000186920166 | -9.0 | -9.0 | 0.8960000276565552 | 0.07100000232458115 |
23.700000762939453 | 23.5 | 22.650699615478516 | 22.64590072631836 | 5.164599895477295 | 35.78110122680664 | 24.62809944152832 | 0.4009999930858612 | 4.379000186920166 | -9.0 | -9.0 | 0.8619999885559082 | 0.0729999989271164 |
24.200000762939453 | 24.0 | 22.651100158691406 | 22.64620018005371 | 5.164700031280518 | 35.78099822998047 | 24.627899169921875 | 0.20999999344348907 | 4.379000186920166 | -9.0 | -9.0 | 0.8949999809265137 | 0.07599999755620956 |
24.700000762939453 | 24.5 | 22.650699615478516 | 22.645700454711914 | 5.164700031280518 | 35.78110122680664 | 24.62820053100586 | 0.35600000619888306 | 4.379000186920166 | -9.0 | -9.0 | 0.9610000252723694 | 0.07900000363588333 |
25.200000762939453 | 25.0 | 22.65060043334961 | 22.64550018310547 | 5.164700031280518 | 35.78110122680664 | 24.62820053100586 | 0.3370000123977661 | 4.376999855041504 | -9.0 | -9.0 | 0.9300000071525574 | 0.07400000095367432 |
25.700000762939453 | 25.5 | 22.650699615478516 | 22.64550018310547 | 5.164700031280518 | 35.78089904785156 | 24.62809944152832 | 0.08100000023841858 | 4.376999855041504 | -9.0 | -9.0 | 0.859000027179718 | 0.0689999982714653 |
In total, there are 47 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.
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.