Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n1l06s01.nc - 30.18N, 85.89W - 1997-11-22" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n1l06s01) |
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 | 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.
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.