Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n6l04s03.nc - 29.98N, 87.35W - 1999-00-20" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n6l04s03) |
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 | 30.516599655151367 | 30.516000747680664 | 5.409900188446045 | 31.79960060119629 | 19.15369987487793 | 0.1899999976158142 | 4.111000061035156 | -9.0 | -9.0 | 1.3009999990463257 | -9.0 |
3.0 | 3.0 | 30.517000198364258 | 30.516199111938477 | 5.409999847412109 | 31.799999237060547 | 19.153900146484375 | 0.2529999911785126 | 4.109000205993652 | -9.0 | -9.0 | 1.3109999895095825 | -9.0 |
3.5 | 3.5 | 30.516199111938477 | 30.515300750732422 | 5.409999847412109 | 31.80069923400879 | 19.154699325561523 | 0.3319999873638153 | 4.111000061035156 | -9.0 | -9.0 | 1.3070000410079956 | -9.0 |
4.0 | 4.0 | 30.517499923706055 | 30.51650047302246 | 5.411399841308594 | 31.808500289916992 | 19.160200119018555 | 0.39899998903274536 | 4.11299991607666 | -9.0 | -9.0 | 1.3289999961853027 | -9.0 |
4.5 | 4.5 | 30.51580047607422 | 30.514699935913086 | 5.412600040435791 | 31.81760025024414 | 19.167600631713867 | 0.4749999940395355 | 4.109000205993652 | -9.0 | -9.0 | 1.3279999494552612 | -9.0 |
5.0 | 5.0 | 30.51490020751953 | 30.513599395751953 | 5.415900230407715 | 31.83989906311035 | 19.184600830078125 | 0.4580000042915344 | 4.110000133514404 | -9.0 | -9.0 | 1.3300000429153442 | -9.0 |
5.5 | 5.5 | 30.509700775146484 | 30.50830078125 | 5.4197998046875 | 31.86910057067871 | 19.20829963684082 | 0.4480000138282776 | 4.107999801635742 | -9.0 | -9.0 | 1.3140000104904175 | -9.0 |
6.0 | 6.0 | 30.50480079650879 | 30.503299713134766 | 5.422299861907959 | 31.888599395751953 | 19.22450065612793 | 0.421999990940094 | 4.111999988555908 | -9.0 | -9.0 | 1.2929999828338623 | -9.0 |
6.5 | 6.5 | 30.475400924682617 | 30.473800659179688 | 5.448599815368652 | 32.08140182495117 | 19.3789005279541 | 0.41200000047683716 | 4.114999771118164 | -9.0 | -9.0 | 1.2920000553131104 | -9.0 |
7.0 | 7.0 | 30.38520050048828 | 30.383399963378906 | 5.515600204467773 | 32.58470153808594 | 19.78619956970215 | 0.44200000166893005 | 4.144999980926514 | -9.0 | -9.0 | 1.2630000114440918 | -9.0 |
7.599999904632568 | 7.5 | 30.344600677490234 | 30.34269905090332 | 5.542300224304199 | 32.78960037231445 | 19.953500747680664 | 0.4560000002384186 | 4.158999919891357 | -9.0 | -9.0 | 1.2580000162124634 | -9.0 |
8.100000381469727 | 8.0 | 30.214000701904297 | 30.211999893188477 | 5.636499881744385 | 33.50699996948242 | 20.53510093688965 | 0.4690000116825104 | 4.1519999504089355 | -9.0 | -9.0 | 1.2569999694824219 | -9.0 |
8.600000381469727 | 8.5 | 30.00040054321289 | 29.998300552368164 | 5.754700183868408 | 34.45000076293945 | 21.31450080871582 | 0.4339999854564667 | 4.175000190734863 | -9.0 | -9.0 | 1.2589999437332153 | -9.0 |
9.100000381469727 | 9.0 | 29.938899993896484 | 29.93670082092285 | 5.759699821472168 | 34.52750015258789 | 21.393600463867188 | 0.39800000190734863 | 4.2270002365112305 | -9.0 | -9.0 | 1.2259999513626099 | -9.0 |
9.600000381469727 | 9.5 | 29.8164005279541 | 29.81399917602539 | 5.770999908447266 | 34.69169998168945 | 21.558399200439453 | 0.4300000071525574 | 4.235000133514404 | -9.0 | -9.0 | 1.2070000171661377 | -9.0 |
10.100000381469727 | 10.0 | 29.71430015563965 | 29.71179962158203 | 5.791999816894531 | 34.90739822387695 | 21.754899978637695 | 0.45399999618530273 | 4.251999855041504 | -9.0 | -9.0 | 1.187000036239624 | -9.0 |
10.600000381469727 | 10.5 | 29.66900062561035 | 29.666400909423828 | 5.808199882507324 | 35.05030059814453 | 21.877500534057617 | 0.4410000145435333 | 4.257999897003174 | -9.0 | -9.0 | 1.156999945640564 | -9.0 |
11.100000381469727 | 11.0 | 29.624900817871094 | 29.62220001220703 | 5.827600002288818 | 35.214500427246094 | 22.015600204467773 | 0.4180000126361847 | 4.275000095367432 | -9.0 | -9.0 | 1.1339999437332153 | -9.0 |
11.600000381469727 | 11.5 | 29.576799392700195 | 29.573999404907227 | 5.845900058746338 | 35.37459945678711 | 22.152099609375 | 0.414000004529953 | 4.2779998779296875 | -9.0 | -9.0 | 1.1349999904632568 | -9.0 |
12.100000381469727 | 12.0 | 29.492399215698242 | 29.48940086364746 | 5.848899841308594 | 35.45709991455078 | 22.242599487304688 | 0.42500001192092896 | 4.2829999923706055 | -9.0 | -9.0 | 1.149999976158142 | -9.0 |
12.600000381469727 | 12.5 | 29.45210075378418 | 29.448999404907227 | 5.8572998046875 | 35.544498443603516 | 22.3218994140625 | 0.4309999942779541 | 4.293000221252441 | -9.0 | -9.0 | 1.128000020980835 | -9.0 |
13.100000381469727 | 13.0 | 29.493000030517578 | 29.48979949951172 | 5.87470006942749 | 35.63290023803711 | 22.374399185180664 | 0.43799999356269836 | 4.300000190734863 | -9.0 | -9.0 | 1.13100004196167 | -9.0 |
13.600000381469727 | 13.5 | 29.4507999420166 | 29.447500228881836 | 5.882500171661377 | 35.71780014038086 | 22.452499389648438 | 0.40799999237060547 | 4.302000045776367 | -9.0 | -9.0 | 1.1460000276565552 | -9.0 |
14.100000381469727 | 14.0 | 29.292200088500977 | 29.288799285888672 | 5.87060022354126 | 35.75360107421875 | 22.533000946044922 | 0.39100000262260437 | 4.302999973297119 | -9.0 | -9.0 | 1.1490000486373901 | -9.0 |
14.600000381469727 | 14.5 | 29.159799575805664 | 29.156200408935547 | 5.861800193786621 | 35.79180145263672 | 22.606300354003906 | 0.4399999976158142 | 4.303999900817871 | -9.0 | -9.0 | 1.1670000553131104 | -9.0 |
15.100000381469727 | 15.0 | 29.038400650024414 | 29.034700393676758 | 5.855500221252441 | 35.839500427246094 | 22.682899475097656 | 0.4569999873638153 | 4.303999900817871 | -9.0 | -9.0 | 1.190999984741211 | -9.0 |
15.600000381469727 | 15.5 | 28.982799530029297 | 28.979000091552734 | 5.8541998863220215 | 35.87229919433594 | 22.726299285888672 | 0.40700000524520874 | 4.302999973297119 | -9.0 | -9.0 | 1.2419999837875366 | -9.0 |
16.100000381469727 | 16.0 | 28.91320037841797 | 28.909299850463867 | 5.848999977111816 | 35.888099670410156 | 22.761499404907227 | 0.3799999952316284 | 4.297999858856201 | -9.0 | -9.0 | 1.2910000085830688 | -9.0 |
16.600000381469727 | 16.5 | 28.822900772094727 | 28.818899154663086 | 5.841000080108643 | 35.900699615478516 | 22.80109977722168 | 0.421999990940094 | 4.2769999504089355 | -9.0 | -9.0 | 1.3220000267028809 | -9.0 |
17.100000381469727 | 17.0 | 28.68280029296875 | 28.678699493408203 | 5.828400135040283 | 35.918800354003906 | 22.861499786376953 | 0.4480000138282776 | 4.285999774932861 | -9.0 | -9.0 | 1.3279999494552612 | -9.0 |
17.600000381469727 | 17.5 | 28.572500228881836 | 28.568300247192383 | 5.820899963378906 | 35.950401306152344 | 22.922000885009766 | 0.4269999861717224 | 4.301000118255615 | -9.0 | -9.0 | 1.2999999523162842 | -9.0 |
18.100000381469727 | 18.0 | 28.441699981689453 | 28.437400817871094 | 5.809299945831299 | 35.968299865722656 | 22.978900909423828 | 0.3889999985694885 | 4.309999942779541 | -9.0 | -9.0 | 1.2920000553131104 | -9.0 |
18.600000381469727 | 18.5 | 28.26689910888672 | 28.262500762939453 | 5.791800022125244 | 35.97880172729492 | 23.044599533081055 | 0.3889999985694885 | 4.323999881744385 | -9.0 | -9.0 | 1.2599999904632568 | -9.0 |
19.100000381469727 | 19.0 | 28.068700790405273 | 28.064199447631836 | 5.769000053405762 | 35.969600677490234 | 23.10300064086914 | 0.35499998927116394 | 4.333000183105469 | -9.0 | -9.0 | 1.2330000400543213 | -9.0 |
19.600000381469727 | 19.5 | 27.827299118041992 | 27.82270050048828 | 5.741000175476074 | 35.95669937133789 | 23.172300338745117 | 0.2800000011920929 | 4.331999778747559 | -9.0 | -9.0 | 1.2259999513626099 | -9.0 |
20.100000381469727 | 20.0 | 27.6117000579834 | 27.60700035095215 | 5.715000152587891 | 35.937400817871094 | 23.228099822998047 | 0.1899999976158142 | 4.330999851226807 | -9.0 | -9.0 | 1.2519999742507935 | -9.0 |
20.600000381469727 | 20.5 | 27.46030044555664 | 27.45549964904785 | 5.696800231933594 | 35.92490005493164 | 23.267900466918945 | 0.26899999380111694 | 4.327000141143799 | -9.0 | -9.0 | 1.3519999980926514 | -9.0 |
21.100000381469727 | 21.0 | 27.17569923400879 | 27.170799255371094 | 5.665299892425537 | 35.91910171508789 | 23.35540008544922 | 0.23899999260902405 | 4.333000183105469 | -9.0 | -9.0 | 1.2960000038146973 | -9.0 |
21.600000381469727 | 21.5 | 26.935199737548828 | 26.930200576782227 | 5.638199806213379 | 35.910499572753906 | 23.42609977722168 | 0.19900000095367432 | 4.328000068664551 | -9.0 | -9.0 | 1.2699999809265137 | -9.0 |
22.200000762939453 | 22.0 | 26.79840087890625 | 26.79330062866211 | 5.622700214385986 | 35.90520095825195 | 23.46579933166504 | 0.21899999678134918 | 4.329999923706055 | -9.0 | -9.0 | 1.2760000228881836 | -9.0 |
22.700000762939453 | 22.5 | 26.608600616455078 | 26.6033992767334 | 5.6016998291015625 | 35.900699615478516 | 23.52280044555664 | 0.1599999964237213 | 4.327000141143799 | -9.0 | -9.0 | 1.2619999647140503 | -9.0 |
23.200000762939453 | 23.0 | 26.337600708007812 | 26.332399368286133 | 5.571400165557861 | 35.89229965209961 | 23.6023006439209 | 0.16200000047683716 | 4.323999881744385 | -9.0 | -9.0 | 1.3009999990463257 | -9.0 |
23.700000762939453 | 23.5 | 25.091299057006836 | 25.08609962463379 | 5.435299873352051 | 35.87269973754883 | 23.974599838256836 | 0.15199999511241913 | 4.309999942779541 | -9.0 | -9.0 | 1.281999945640564 | -9.0 |
24.200000762939453 | 24.0 | 24.884000778198242 | 24.878799438476562 | 5.415800094604492 | 35.89229965209961 | 24.05270004272461 | 0.2240000069141388 | 4.28000020980835 | -9.0 | -9.0 | 1.2949999570846558 | -9.0 |
24.700000762939453 | 24.5 | 24.826799392700195 | 24.821500778198242 | 5.410900115966797 | 35.9015007019043 | 24.07710075378418 | 0.1889999955892563 | 4.2779998779296875 | -9.0 | -9.0 | 1.3279999494552612 | -9.0 |
25.200000762939453 | 25.0 | 24.810800552368164 | 24.805400848388672 | 5.409599781036377 | 35.90399932861328 | 24.083799362182617 | 0.2770000100135803 | 4.2820000648498535 | -9.0 | -9.0 | 1.3799999952316284 | -9.0 |
25.700000762939453 | 25.5 | 24.773000717163086 | 24.767499923706055 | 5.405799865722656 | 35.90589904785156 | 24.096799850463867 | 0.19300000369548798 | 4.2820000648498535 | -9.0 | -9.0 | 1.3680000305175781 | -9.0 |
26.200000762939453 | 26.0 | 24.76300048828125 | 24.757299423217773 | 5.40500020980835 | 35.907798767089844 | 24.101299285888672 | 0.3149999976158142 | 4.283999919891357 | -9.0 | -9.0 | 1.340999960899353 | -9.0 |
26.700000762939453 | 26.5 | 24.758100509643555 | 24.752300262451172 | 5.404699802398682 | 35.90919876098633 | 24.103900909423828 | 0.17299999296665192 | 4.2829999923706055 | -9.0 | -9.0 | 1.3259999752044678 | -9.0 |
27.200000762939453 | 27.0 | 24.754100799560547 | 24.748199462890625 | 5.4045000076293945 | 35.91019821166992 | 24.105899810791016 | 0.08100000023841858 | 4.295000076293945 | -9.0 | -9.0 | 1.305999994277954 | -9.0 |
In total, there are 50 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.