Shane Elipot

`cellprune(x,M)` removes cells of length M or less and not less than M as stated in the help

Thank you for pinging me. Yes, @philippemiron's work on this is funded through my CloudDrift EarthCube project :)

Working on finding this out with with the GDP. I suspect it would be what the license is for NOAA data which is unknown to me. Again reaching out to...

From NOAA and NCEI: *All environmental data managed/archived at NCEI is publicly available without restriction. NCEI doesn't currently employ a data usage license.*

Oh I may not have read carefully [the pangeo tutorial](https://rechunker.readthedocs.io/en/latest/tutorial.html#Rechunk-a-Group) about rechunking a whole group ... I'll come back.

Indeed, I would like to see this as well. I would like to download only the Basic files.

review now or eventually?

I tried ``` from clouddrift.adapters.gdp import rawfiles as raw ra = raw.to_raggedarray() ``` which led to the following outputs and errors: ``` https://www.aoml.noaa.gov/ftp/pub/phod/buoydata/dirfl_1_5000.dat: 100%|██████████| 586k/586k [00:00

I tested the following, it ran, but I am not sure of the output ``` In [1]: from clouddrift.datasets import gdpraw In [2]: ds = gdpraw() https://www.aoml.noaa.gov/ftp/pub/phod/pub/pazos/data/shane/sst/buoydata_5001_10000_rawfiles.dat.gz: 100%|███████████████████████████████████████████████████████████████████████████████| 723M/723M [05:42

I think the "posObsDatetime" and "sensorObsDatetime" may not necessarily match but in my case they really don't always match, see: ``` In [9]: ds["sensorObsDatetime"][0:10].values Out[9]: array(['1996-08-07T17:52:30.000000000', '1996-08-07T19:28:07.500000000', '1996-08-07T21:54:22.500000000', '1996-08-07T23:35:37.500000000', '1996-08-08T04:56:15.000000000',...