Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Dataset Card: OceanTACO_extended

Dataset Summary

This dataset is a multi-source collection of global ocean sea surface measurements, integrating numerical model reanalysis, L4 gap-filled products, L3 satellite observations, and in-situ data. The collection includes sea surface height (SSH), temperature (SST), salinity (SSS), wind speed, and other variables.

Temporal coverage: 2015-01-01 to 2023-03-29


Dataset Format

  • Format: TACO and NetCDF-4 files

Licensing Information

License for This Dataset

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This is made possible by the permissive terms of the underlying data sources, which allow for the creation and redistribution of Derivative Works for any purpose, including commercial use.

Users of this dataset must also comply with the attribution requirements of the underlying source data providers (see Mandatory Attribution section below).


Underlying Source Licenses

Copernicus Marine Service (CMEMS)

All included Copernicus products are used under the Licence to Use Copernicus Marine Service Products. This license provides a worldwide, perpetual, royalty-free right to:

  • Make copies for internal use and backup
  • Modify, adapt, develop, create and distribute Value Added Products or Derivative Works for any purpose (scientific, operational, commercial)
  • Redistribute products in their original form

Full license: https://marine.copernicus.eu/user-corner/service-commitments-and-licence

International Argo Program

Argo data are freely available without restriction. However, acknowledgement is requested when data are used in publications or products.

More information: https://argo.ucsd.edu/data/acknowledging-argo/


Mandatory Attribution & Citations

Per the legal requirements of the source providers, any use of this dataset must include the following acknowledgments.

1. Copernicus Marine Service (CMEMS)

Required Statement:

"Generated using E.U. Copernicus Marine Service Information"

Product DOIs included in this collection:

Parameter Product ID Digital Object Identifier (DOI)
Reanalysis (GLORYS) GLOBAL_MULTIYEAR_PHY_001_030 https://doi.org/10.48670/moi-00021
L4 SSH SEALEVEL_GLO_PHY_L4_MY_008_047 https://doi.org/10.48670/moi-00148
L4 Temp SST_GLO_SST_L4_REP_OBSERVATIONS_010_011 https://doi.org/10.48670/moi-00168
L4 SSS MULTIOBS_GLO_PHY_S_SURFACE_MYNRT_015_013 https://doi.org/10.48670/moi-00051
L4 Wind WIND_GLO_PHY_L4_MY_012_006 https://doi.org/10.48670/moi-00185
L3 Altimetry (MY) SEALEVEL_GLO_PHY_L3_MY_008_062 https://doi.org/10.48670/moi-00146
L3 Altimetry (NRT) SEALEVEL_GLO_PHY_L3_NRT_008_044 https://doi.org/10.48670/moi-00147
L3 SST SST_GLO_PHY_L3S_MY_010_039 https://doi.org/10.48670/mds-00329
L3 SMOS SSS MULTIOBS_GLO_PHY_SSS_L3_MYNRT_015_014 https://doi.org/10.48670/mds-00368

2. International Argo Program

Required Statement:

"These data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System."

Bibliographic Citations:

For the Argo dataset:

Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182

For scientific publications, also cite:

Wong, A. P. S., et al. (2020), Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats, Frontiers in Marine Science, 7(700). https://doi.org/10.3389/fmars.2020.00700


Example Attribution

When using this dataset, please include an acknowledgement similar to:

"This work uses the OceanTACO_extended dataset, which was generated using E.U. Copernicus Marine Service Information. Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System."

For academic publications, please also cite the relevant DOIs listed above.


BibTeX Citations

Copernicus Marine Service Products

@misc{CMEMS_GLORYS_reanalysis,
  author       = {{E.U. Copernicus Marine Service Information (CMEMS)}},
  title        = {{Global Ocean Physics Reanalysis (GLORYS)}},
  year         = {2024},
  publisher    = {Marine Data Store (MDS)},
  doi          = {10.48670/moi-00021},
  url          = {https://doi.org/10.48670/moi-00021},
  note         = {GLOBAL_MULTIYEAR_PHY_001_030}
}

@misc{CMEMS_L4_SSH,
  author       = {{E.U. Copernicus Marine Service Information (CMEMS)}},
  title        = {{Global Ocean Gridded L4 Sea Surface Heights and Derived Variables Reprocessed}},
  year         = {2024},
  publisher    = {Marine Data Store (MDS)},
  doi          = {10.48670/moi-00148},
  url          = {https://doi.org/10.48670/moi-00148},
  note         = {SEALEVEL_GLO_PHY_L4_MY_008_047}
}

@misc{copernicus_sst_l4,
  author       = {{Met Office}},
  title        = {Global Ocean OSTIA Sea Surface Temperature and Sea Ice Reprocessed},
  year         = 2025,
  url          = {https://data.marine.copernicus.eu/product/SST_GLO_SST_L4_REP_OBSERVATIONS_010_011/description},
  doi          = {10.48670/moi-00168},
  publisher    = {Copernicus Marine Environment Monitoring Service},
  type         = {Dataset},
  version      = {v2025.10.28}
}

@misc{Argo_GDAC,
  author       = {{Argo}},
  title        = {{Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)}},
  year         = {2000},
  publisher    = {SEANOE},
  doi          = {10.17882/42182},
  url          = {https://doi.org/10.17882/42182}
}

@article{Wong2020_Argo,
  author       = {Wong, Annie P. S. and others},
  title        = {{Argo Data 1999–2019: Two Million Temperature-Salinity Profiles}},
  journal      = {Frontiers in Marine Science},
  year         = {2020},
  volume       = {7},
  pages        = {700},
  doi          = {10.3389/fmars.2020.00700}
}
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