clouddrift.datasets.andro

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clouddrift.datasets.andro#

clouddrift.datasets.andro(decode_times: bool = True) → Dataset[source]#

Returns the ANDRO as a ragged array Xarray dataset.

The function will first look for the ragged-array dataset on the local filesystem. If it is not found, the dataset will be downloaded using the corresponding adapter function and stored for later access. The upstream data is available at https://www.seanoe.org/data/00360/47077/.

Parameters#

decode_timesbool, optional

If True, decode the time coordinate into a datetime object. If False, the time coordinate will be an int64 or float64 array of increments since the origin time indicated in the units attribute. Default is True.

Returns#

xarray.Dataset

ANDRO dataset as a ragged array

Examples#

>>> from clouddrift.datasets import andro
>>> ds = andro()
>>> ds
<xarray.Dataset> Size: 395MB
Dimensions:     (obs: 1762076, traj: 11561)
Coordinates:
    time_d      (obs) datetime64[ns] 14MB ...
    time_s      (obs) datetime64[ns] 14MB ...
    time_lp     (obs) datetime64[ns] 14MB ...
    time_lc     (obs) datetime64[ns] 14MB ...
    id          (traj) int64 92kB ...
Dimensions without coordinates: obs, traj
Data variables: (12/33)
    lon_d       (obs) float64 14MB ...
    lat_d       (obs) float64 14MB ...
    pres_d      (obs) float32 7MB ...
    temp_d      (obs) float32 7MB ...
    sal_d       (obs) float32 7MB ...
    ve_d        (obs) float32 7MB ...
    ...          ...
    lon_lc      (obs) float64 14MB ...
    lat_lc      (obs) float64 14MB ...
    surf_fix    (obs) int64 14MB ...
    cycle       (obs) int64 14MB ...
    profile_id  (obs) float32 7MB ...
    rowsize     (traj) int64 92kB ...
Attributes:
    title:           ANDRO: An Argo-based deep displacement dataset (Quality ...
    history:         Dataset updated on 2025-01
    date_created:    2026-04-17T15:54:27.180801
    publisher_name:  SEANOE (SEA scieNtific Open data Edition)
    publisher_url:   https://www.seanoe.org/data/00360/47077/
    license:         Creative Commons Attribution 4.0 International License (...

Reference#

Ollitrault Michel, Rannou Philippe, Brion Emilie, Cabanes Cecile, Piron Anne, Reverdin Gilles, Kolodziejczyk Nicolas (2022). ANDRO: An Argo-based deep displacement dataset. SEANOE. https://doi.org/10.17882/47077

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