2 datasets found
  1. Z

    Example subjects for Mobilise-D data standardization

    • data.niaid.nih.gov
    • zenodo.org
    Updated Oct 11, 2022
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    Del Din, Silvia (2022). Example subjects for Mobilise-D data standardization [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7185428
    Explore at:
    Dataset updated
    Oct 11, 2022
    Dataset provided by
    Kluge, Felix
    Bonci, Tecla
    Palmerini, Luca
    Micó-Amigo, Encarna
    Cereatti, Andrea
    Bertuletti, Stefano
    Mazzà, Claudia
    Caruso, Marco
    Soltani, Abolfazl
    Paraschiv-Ionescu, Anisoara
    on behalf of the Mobilise-D consortium
    Gazit, Eran
    Hansen, Clint
    Salis, Francesca
    Rochester, Lynn
    D'Ascanio, Ilaria
    Del Din, Silvia
    Kirk, Cameron
    Hiden, Hugo
    Küderle, Arne
    Chiari, Lorenzo
    Ullrich, Martin
    Reggi, Luca
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Standardized data from Mobilise-D participants (YAR dataset) and pre-existing datasets (ICICLE, MSIPC2, Gait in Lab and real-life settings, MS project, UNISS-UNIGE) are provided in the shared folder, as an example of the procedures proposed in the publication "Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization" that is currently under review in Scientific data. Please refer to that publication for further information. Please cite that publication if using these data.

    The code to standardize an example subject (for the ICICLE dataset) and to open the standardized Matlab files in other languages (Python, R) is available in github (https://github.com/luca-palmerini/Procedure-wearable-data-standardization-Mobilise-D).

  2. Seed Information Database: taxonomic standardization of 54,856 taxa to World...

    • zenodo.org
    Updated Mar 21, 2025
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    Roeland Kindt; Roeland Kindt (2025). Seed Information Database: taxonomic standardization of 54,856 taxa to World Flora Online or the World Checklist of Vascular Plants [Dataset]. http://doi.org/10.5281/zenodo.15055069
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    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Roeland Kindt; Roeland Kindt
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Seed Information Database (SER, INSR & RBGK 2023) provides user-friendly access to information on seed weight, storage behaviour, germination requirements, and other traits for more than 50,000 plant taxa.

    Here I provide a dataset where these taxa were standardized to World Flora Online (Borsch et al. 2020; taxonomic backbone version 2023.12) or the World Checklist of Vascular Plants (Govaerts et al. 2021, version 11) by matching names with those in the Agroforestry Species Switchboard (Kindt et al. 2025; version 4). Taxa for which no matches could be found were standardized with the WorldFlora package (Kindt 2020), using similar R scripts and the same taxonomic backbone data (WFO; WCVP when no acceptable match was found) as those used to standardize species names for the Switchboard.

    Additional fields indicate whether a species was flagged as a tree in the Switchboard, and the lifeform obtained from the World Checklist of Vascular Plants (Govaerts et al. 2021, version 11).

    References

    • SER, INSR, RBGK. 2023. Seed Information Database (SID). Society for Ecological Restoration, International Network for Seed Based Restoration and Royal Botanic Gardens Kew. https://ser-sid.org/
    • Borsch, T., Berendsohn, W., Dalcin, E., Delmas, M., Demissew, S., Elliott, A., Fritsch, P., Fuchs, A., Geltman, D., Güner, A., Haevermans, T., Knapp, S., le Roux, M.M., Loizeau, P.-A., Miller, C., Miller, J., Miller, J.T., Palese, R., Paton, A., Parnell, J., Pendry, C., Qin, H.-N., Sosa, V., Sosef, M., von Raab-Straube, E., Ranwashe, F., Raz, L., Salimov, R., Smets, E., Thiers, B., Thomas, W., Tulig, M., Ulate, W., Ung, V., Watson, M., Jackson, P.W. and Zamora, N. (2020), World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world's plants. TAXON, 69: 1311-1341. https://doi.org/10.1002/tax.12373
    • Roeland Kindt, Ilyas Siddique, Ian Dawson, Innocent John, Fabio Pedercini, Jens-Peter B. Lilleso, Lars Graudal. 2025. The Agroforestry Species Switchboard, a global resource to explore information for 107,269 plant species. bioRxiv 2025.03.09.642182; doi: https://doi.org/10.1101/2025.03.09.642182
    • Govaerts, R., Nic Lughadha, E., Black, N. et al. The World Checklist of Vascular Plants, a continuously updated resource for exploring global plant diversity. Sci Data 8, 215 (2021). https://doi.org/10.1038/s41597-021-00997-6
    • Kindt, R. 2020. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. Applications in Plant Sciences 8(9): e11388. https://doi.org/10.1002/aps3.11388

    Funding

    The development of this dataset was supported by the Darwin Initiative to project DAREX001 of Developing a Global Biodiversity Standard certification for tree-planting and restoration, by Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the Provision of Adequate Tree Seed Portfolio project in Ethiopia, by the Bezos Earth Fund to the Quality Tree Seed for Africa in Kenya and Rwanda project and by the German International Climate Initiative (IKI) to the regional tree seed programme on The Right Tree for the Right Place for the Right Purpose in Africa.

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Click to copy link
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Del Din, Silvia (2022). Example subjects for Mobilise-D data standardization [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7185428

Example subjects for Mobilise-D data standardization

Explore at:
Dataset updated
Oct 11, 2022
Dataset provided by
Kluge, Felix
Bonci, Tecla
Palmerini, Luca
Micó-Amigo, Encarna
Cereatti, Andrea
Bertuletti, Stefano
Mazzà, Claudia
Caruso, Marco
Soltani, Abolfazl
Paraschiv-Ionescu, Anisoara
on behalf of the Mobilise-D consortium
Gazit, Eran
Hansen, Clint
Salis, Francesca
Rochester, Lynn
D'Ascanio, Ilaria
Del Din, Silvia
Kirk, Cameron
Hiden, Hugo
Küderle, Arne
Chiari, Lorenzo
Ullrich, Martin
Reggi, Luca
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Standardized data from Mobilise-D participants (YAR dataset) and pre-existing datasets (ICICLE, MSIPC2, Gait in Lab and real-life settings, MS project, UNISS-UNIGE) are provided in the shared folder, as an example of the procedures proposed in the publication "Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization" that is currently under review in Scientific data. Please refer to that publication for further information. Please cite that publication if using these data.

The code to standardize an example subject (for the ICICLE dataset) and to open the standardized Matlab files in other languages (Python, R) is available in github (https://github.com/luca-palmerini/Procedure-wearable-data-standardization-Mobilise-D).

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