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ERDDAP > Files > candhis_spm_97501_timeseries > 2023/

ERDDAP's "files" system lets you browse a virtual file system and download source data files.
WARNING! The dataset's metadata and variable names in these source files may be different than elsewhere in ERDDAP! You might prefer using the dataset's Data Access Form instead. ("files" documentation, including "How can I work with these files?")
 
Dataset Title:  St. Pierre et Miquelon Wave Buoy Subscribe RSS
Institution:  Cerema   (Dataset ID: candhis_spm_97501_timeseries)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

[ICO]NameLast modifiedSizeDescription
[DIR]Parent Directory--
[TXT]97501_timeseries_20230101.csv03-Jan-2023 10:392531
[TXT]97501_timeseries_20230102.csv03-Jan-2023 10:394378
[TXT]97501_timeseries_20230103.csv04-Jan-2023 00:094374
[TXT]97501_timeseries_20230104.csv05-Jan-2023 00:094334
[TXT]97501_timeseries_20230105.csv06-Jan-2023 00:094343
[TXT]97501_timeseries_20230106.csv07-Jan-2023 00:094349
[TXT]97501_timeseries_20230107.csv08-Jan-2023 00:094330
[TXT]97501_timeseries_20230108.csv09-Jan-2023 00:094342
[TXT]97501_timeseries_20230109.csv10-Jan-2023 00:094342
[TXT]97501_timeseries_20230110.csv11-Jan-2023 00:094313
[TXT]97501_timeseries_20230111.csv12-Jan-2023 00:094430
[TXT]97501_timeseries_20230112.csv13-Jan-2023 00:094342
[TXT]97501_timeseries_20230113.csv14-Jan-2023 00:094329
[TXT]97501_timeseries_20230114.csv15-Jan-2023 00:094387
[TXT]97501_timeseries_20230115.csv16-Jan-2023 00:094412
[TXT]97501_timeseries_20230116.csv17-Jan-2023 00:094430
[TXT]97501_timeseries_20230117.csv18-Jan-2023 00:094455
[TXT]97501_timeseries_20230118.csv19-Jan-2023 00:094441
[TXT]97501_timeseries_20230119.csv20-Jan-2023 00:094416
[TXT]97501_timeseries_20230120.csv21-Jan-2023 00:094382
[TXT]97501_timeseries_20230121.csv22-Jan-2023 00:094336
[TXT]97501_timeseries_20230122.csv23-Jan-2023 00:094361
[TXT]97501_timeseries_20230123.csv24-Jan-2023 00:094344
[TXT]97501_timeseries_20230124.csv25-Jan-2023 00:094442
[TXT]97501_timeseries_20230125.csv26-Jan-2023 00:094434
[TXT]97501_timeseries_20230126.csv27-Jan-2023 00:094377
[TXT]97501_timeseries_20230127.csv28-Jan-2023 00:094452
[TXT]97501_timeseries_20230128.csv29-Jan-2023 00:104414
[TXT]97501_timeseries_20230129.csv30-Jan-2023 00:104370
[TXT]97501_timeseries_20230130.csv31-Jan-2023 00:104345
[TXT]97501_timeseries_20230131.csv01-Feb-2023 00:104344
[TXT]97501_timeseries_20230201.csv02-Feb-2023 00:104338
[TXT]97501_timeseries_20230202.csv03-Feb-2023 00:104336
[TXT]97501_timeseries_20230203.csv04-Feb-2023 00:104350
[TXT]97501_timeseries_20230204.csv05-Feb-2023 00:104377
[TXT]97501_timeseries_20230205.csv06-Feb-2023 00:104409
[TXT]97501_timeseries_20230206.csv07-Feb-2023 00:104349
[TXT]97501_timeseries_20230207.csv08-Feb-2023 00:104323
[TXT]97501_timeseries_20230208.csv09-Feb-2023 00:104423
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[TXT]97501_timeseries_20230210.csv11-Feb-2023 00:104334
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[TXT]97501_timeseries_20230213.csv14-Feb-2023 00:104336
[TXT]97501_timeseries_20230214.csv15-Feb-2023 00:104374
[TXT]97501_timeseries_20230215.csv16-Feb-2023 00:104407
[TXT]97501_timeseries_20230216.csv17-Feb-2023 00:104361
[TXT]97501_timeseries_20230217.csv18-Feb-2023 00:104330
[TXT]97501_timeseries_20230218.csv19-Feb-2023 00:104329
[TXT]97501_timeseries_20230219.csv20-Feb-2023 00:104380
[TXT]97501_timeseries_20230220.csv21-Feb-2023 00:104367
[TXT]97501_timeseries_20230221.csv22-Feb-2023 10:104409
[TXT]97501_timeseries_20230222.csv23-Feb-2023 00:104423
[TXT]97501_timeseries_20230223.csv24-Feb-2023 00:104365
[TXT]97501_timeseries_20230224.csv25-Feb-2023 00:104263
[TXT]97501_timeseries_20230225.csv26-Feb-2023 00:103719
[TXT]97501_timeseries_20230226.csv26-Feb-2023 23:413860
[TXT]97501_timeseries_20230305.csv07-Mar-2023 14:111932
[TXT]97501_timeseries_20230306.csv07-Mar-2023 14:114366
[TXT]97501_timeseries_20230307.csv08-Mar-2023 00:114383
[TXT]97501_timeseries_20230308.csv09-Mar-2023 00:114374
[TXT]97501_timeseries_20230309.csv10-Mar-2023 00:114370
[TXT]97501_timeseries_20230310.csv11-Mar-2023 00:114378
[TXT]97501_timeseries_20230311.csv12-Mar-2023 00:114334
[TXT]97501_timeseries_20230312.csv13-Mar-2023 00:114363
[TXT]97501_timeseries_20230313.csv14-Mar-2023 00:114360
[TXT]97501_timeseries_20230314.csv15-Mar-2023 00:114404
[TXT]97501_timeseries_20230315.csv16-Mar-2023 00:114373
[TXT]97501_timeseries_20230316.csv17-Mar-2023 00:114413
[TXT]97501_timeseries_20230317.csv18-Mar-2023 00:114364
[TXT]97501_timeseries_20230318.csv19-Mar-2023 00:114372
[TXT]97501_timeseries_20230319.csv20-Mar-2023 00:114343
[TXT]97501_timeseries_20230320.csv21-Mar-2023 00:114398
[TXT]97501_timeseries_20230321.csv22-Mar-2023 00:114408
[TXT]97501_timeseries_20230322.csv23-Mar-2023 00:114332
[TXT]97501_timeseries_20230323.csv24-Mar-2023 00:114321
[TXT]97501_timeseries_20230324.csv25-Mar-2023 00:114365
[TXT]97501_timeseries_20230325.csv26-Mar-2023 00:114422
[TXT]97501_timeseries_20230326.csv27-Mar-2023 00:114388
[TXT]97501_timeseries_20230327.csv28-Mar-2023 00:114389
[TXT]97501_timeseries_20230328.csv29-Mar-2023 00:114355
[TXT]97501_timeseries_20230329.csv30-Mar-2023 00:114356
[TXT]97501_timeseries_20230330.csv31-Mar-2023 00:114366
[TXT]97501_timeseries_20230331.csv01-Apr-2023 00:114333
[TXT]97501_timeseries_20230401.csv02-Apr-2023 00:114253
[TXT]97501_timeseries_20230402.csv03-Apr-2023 00:114406
[TXT]97501_timeseries_20230403.csv04-Apr-2023 00:114416
[TXT]97501_timeseries_20230404.csv05-Apr-2023 00:114377
[TXT]97501_timeseries_20230405.csv06-Apr-2023 00:114363
[TXT]97501_timeseries_20230406.csv07-Apr-2023 00:114331
[TXT]97501_timeseries_20230407.csv08-Apr-2023 00:114332
[TXT]97501_timeseries_20230408.csv09-Apr-2023 00:114351
[TXT]97501_timeseries_20230409.csv10-Apr-2023 00:114333
[TXT]97501_timeseries_20230410.csv11-Apr-2023 00:114331
[TXT]97501_timeseries_20230411.csv12-Apr-2023 12:124334
[TXT]97501_timeseries_20230412.csv13-Apr-2023 00:124348
[TXT]97501_timeseries_20230413.csv14-Apr-2023 00:124369
[TXT]97501_timeseries_20230414.csv15-Apr-2023 00:124345
[TXT]97501_timeseries_20230415.csv16-Apr-2023 00:124330
[TXT]97501_timeseries_20230416.csv17-Apr-2023 00:124342
[TXT]97501_timeseries_20230417.csv18-Apr-2023 00:124335
[TXT]97501_timeseries_20230418.csv19-Apr-2023 00:124317
[TXT]97501_timeseries_20230419.csv20-Apr-2023 00:124331
[TXT]97501_timeseries_20230420.csv21-Apr-2023 00:124333
[TXT]97501_timeseries_20230421.csv22-Apr-2023 00:124321
[TXT]97501_timeseries_20230422.csv23-Apr-2023 00:124322
[TXT]97501_timeseries_20230423.csv24-Apr-2023 00:124357
[TXT]97501_timeseries_20230424.csv25-Apr-2023 00:124378
[TXT]97501_timeseries_20230425.csv26-Apr-2023 00:124378
[TXT]97501_timeseries_20230426.csv27-Apr-2023 00:124372
[TXT]97501_timeseries_20230427.csv28-Apr-2023 00:124370
[TXT]97501_timeseries_20230428.csv29-Apr-2023 00:124361
[TXT]97501_timeseries_20230429.csv30-Apr-2023 00:124369
[TXT]97501_timeseries_20230430.csv01-May-2023 00:124346
[TXT]97501_timeseries_20230501.csv02-May-2023 00:124272
[TXT]97501_timeseries_20230502.csv03-May-2023 00:124359
[TXT]97501_timeseries_20230503.csv04-May-2023 00:124354
[TXT]97501_timeseries_20230504.csv05-May-2023 00:124321
[TXT]97501_timeseries_20230505.csv06-May-2023 00:124289
[TXT]97501_timeseries_20230506.csv07-May-2023 00:124385
[TXT]97501_timeseries_20230507.csv08-May-2023 00:124377
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[TXT]97501_timeseries_20230514.csv15-May-2023 00:124339
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[TXT]97501_timeseries_20230516.csv17-May-2023 00:124331
[TXT]97501_timeseries_20230517.csv18-May-2023 00:134329
[TXT]97501_timeseries_20230518.csv19-May-2023 00:134357
[TXT]97501_timeseries_20230519.csv20-May-2023 00:134368
[TXT]97501_timeseries_20230520.csv20-May-2023 22:133991
[TXT]97501_timeseries_20230522.csv23-May-2023 00:132444
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[TXT]97501_timeseries_20230526.csv27-May-2023 00:134363
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[TXT]97501_timeseries_20230530.csv31-May-2023 00:134335
[TXT]97501_timeseries_20230531.csv01-Jun-2023 00:134331
[TXT]97501_timeseries_20230601.csv02-Jun-2023 00:134250
[TXT]97501_timeseries_20230602.csv03-Jun-2023 00:134371
[TXT]97501_timeseries_20230603.csv04-Jun-2023 00:134364
[TXT]97501_timeseries_20230604.csv05-Jun-2023 00:134327
[TXT]97501_timeseries_20230605.csv06-Jun-2023 00:134308
[TXT]97501_timeseries_20230606.csv07-Jun-2023 00:134332
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[TXT]97501_timeseries_20230608.csv09-Jun-2023 00:134332
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[TXT]97501_timeseries_20230630.csv01-Jul-2023 00:144351
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[TXT]97501_timeseries_20231011.csv12-Oct-2023 00:164381
[TXT]97501_timeseries_20231012.csv13-Oct-2023 00:164386
[TXT]97501_timeseries_20231013.csv14-Oct-2023 00:164384
[TXT]97501_timeseries_20231014.csv15-Oct-2023 00:164388
[TXT]97501_timeseries_20231015.csv16-Oct-2023 00:164382
[TXT]97501_timeseries_20231016.csv17-Oct-2023 00:164125
[TXT]97501_timeseries_20231017.csv18-Oct-2023 00:163646
[TXT]97501_timeseries_20231018.csv19-Oct-2023 16:464403
[TXT]97501_timeseries_20231019.csv20-Oct-2023 00:164378
[TXT]97501_timeseries_20231020.csv21-Oct-2023 00:164363
[TXT]97501_timeseries_20231021.csv22-Oct-2023 00:164342
[TXT]97501_timeseries_20231022.csv23-Oct-2023 00:163861
[TXT]97501_timeseries_20231023.csv24-Oct-2023 00:163653
[TXT]97501_timeseries_20231024.csv25-Oct-2023 00:164423
[TXT]97501_timeseries_20231025.csv26-Oct-2023 00:164378
[TXT]97501_timeseries_20231026.csv27-Oct-2023 00:164382
[TXT]97501_timeseries_20231027.csv28-Oct-2023 00:164389
[TXT]97501_timeseries_20231028.csv29-Oct-2023 00:164424
[TXT]97501_timeseries_20231029.csv30-Oct-2023 00:164329
[TXT]97501_timeseries_20231030.csv31-Oct-2023 00:164319
[TXT]97501_timeseries_20231031.csv01-Nov-2023 00:164389
[TXT]97501_timeseries_20231101.csv02-Nov-2023 00:164287
[TXT]97501_timeseries_20231102.csv03-Nov-2023 00:174379
[TXT]97501_timeseries_20231103.csv04-Nov-2023 00:174341
[TXT]97501_timeseries_20231104.csv05-Nov-2023 00:174344
[TXT]97501_timeseries_20231105.csv06-Nov-2023 00:174022
[TXT]97501_timeseries_20231106.csv07-Nov-2023 00:173909
[TXT]97501_timeseries_20231107.csv08-Nov-2023 00:174343
[TXT]97501_timeseries_20231108.csv09-Nov-2023 00:174387
[TXT]97501_timeseries_20231109.csv10-Nov-2023 00:174349
[TXT]97501_timeseries_20231110.csv11-Nov-2023 00:174338
[TXT]97501_timeseries_20231111.csv12-Nov-2023 00:174335
[TXT]97501_timeseries_20231112.csv13-Nov-2023 00:174331
[TXT]97501_timeseries_20231113.csv14-Nov-2023 00:174334
[TXT]97501_timeseries_20231114.csv15-Nov-2023 00:174346
[TXT]97501_timeseries_20231115.csv16-Nov-2023 00:174298
[TXT]97501_timeseries_20231116.csv17-Nov-2023 00:174371
[TXT]97501_timeseries_20231229.csv31-Dec-2023 13:182100
[TXT]97501_timeseries_20231230.csv31-Dec-2023 13:184423
[TXT]97501_timeseries_20231231.csv01-Jan-2024 01:484368
1 directory, 316 files

 
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