A home for intra-annual wood anatomy data

TRIA — Tree Ring Intra-annual and Anatomical data — is a curated repository for quantitative wood anatomy (QWA) datasets produced with ROXAS and ROXAS AI.

High-resolution, cell-level tree-ring data hold immense potential for advancing climate science, ecology, and dendrochronology. TRIA ensures these datasets are preserved, discoverable, and properly credited.

TRIA is currently in early access. Some features are still in development and content may change.

Curated datasets

Standardized QWA datasets with validated, structured metadata.

Interactive exploration

Visualise and assess data quality directly in the browser before downloading.

Proper credit

Every dataset is citable, public datasets will receive a DOI. Data producers are acknowledged for their work.

Open, but fair

Optional embargo periods and clear licensing protect contributors while promoting open science.

Why TRIA?

Intra-annual tree-ring datasets are collected at significant effort---requiring specialised equipment, software, and expertise. Yet much of this data remains inaccessible to the wider community, stored on local hard drives and at risk of being lost or underutilised. At the same time, the effort of producing and publishing QWA data is rarely acknowledged in proportion to the work involved.

TRIA addresses both problems: a dedicated platform that makes QWA data findable and reusable, while ensuring contributors receive the recognition they deserve through transparent licensing and citable DOIs. By aligning with FAIR principles, TRIA supports cutting-edge research and fosters collaboration across disciplines.

To get started,

  1. browse the database holdings with search & filtering options,
  2. participate by contributing your own datasets or leverage TRIA data for your research,
  3. read the documentation on data policy, licensing, and attribution.
Database holdings
TRIA banner
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About TRIA

TRIA is a modern, flexible repository tailored to intra-annually resolved wood cell anatomical data and associated images.

The platform

TRIA is designed to facilitate research on dendrochronology at intra-annual resolution by promoting the sharing of high-quality, well-documented datasets following FAIR principles. It is a modern, flexible repository hosted and curated by the Dendrosciences research group at the Swiss Federal Institute for Forest, Snow and Landscape Research WSL . Currently, TRIA supports quantitative wood anatomy (QWA) data produced via the ROXAS or ROXAS AI software.

TRIA provides a community-specific, user-friendly platform where researchers can deposit, discover, and reuse QWA datasets. Core features include:

Interactive visualisation

Explore datasets and assess quality before downloading.

DOI assignment

Every open dataset will receive a citable, persistent identifier.

Quality assessment

Standardized structure and validation allows for quality assessment of each dataset.

Embargo support

Protect data linked to ongoing publications until you're ready to share.


Background

Quantitative wood anatomy (QWA) investigates how the variability in xylem anatomical features of trees, shrubs, and herbaceous species is related to plant functioning, growth, and environment. Anatomical features — including lumen dimensions, wall thickness of conducting cells, and ray properties — can be localised within annual growth rings, enabling intra-annual structure-function relationships to be established and their sensitivity to environmental variability to be assessed ( von Arx et al., 2026 ).

Tree-ring research has played a pivotal role in reconstructing past environmental conditions, understanding climate variability, and tracking ecological change. Advances in imaging technology and AI — embodied in tools like ROXAS and ROXAS AI — now make it possible to produce intra-annual, cell-level anatomical data at unprecedented scale and quality.

Despite this, valuable QWA datasets frequently go unpublished. Collection is resource-intensive, and the incentive structures for sharing data openly remain weak. TRIA was created to change that.


Team

TRIA is developed and maintained at the WSL .

PF
Patrick Fonti
Principal Investigator · WSL
GA
Georg von Arx
Co-Investigator · WSL
II
Ionuț Iosifescu Enescu
Co-Investigator · WSL
VT
Volodymyr Trotsiuk
Co-Investigator · WSL
MN
Mara Naegelin
Developer · WSL

The project has received funding from the ORD Program of the ETH Domain Measure 1 Call . Questions? Contact us at tria@wsl.ch .


Resources

ROXAS / ROXAS AI

Image analysis software for quantifying xylem anatomy in angiosperms and conifers. Learn more →

rx2tria

R package to prepare ROXAS / ROXAS AI output files for TRIA submission. Learn more →

Documentation

Database schema · Metadata JSON schema · Attribute and parameter definitions (coming soon)

International Tree-Ring Databank (ITRDB)

For annually resolved tree-ring data. Visit ITRDB →

EnviDat

Environmental data portal and repository of WSL. Visit EnviDat →


Data policy

The policies below outline the responsibilities and conditions for researchers submitting QWA data to the repository or using datasets distributed via the platform. These policies are subject to change by the TRIA platform owners at any time and without notice. The updated policies will be posted on the platform website www.webapps.wsl.ch/tria . For any questions, please contact tria@wsl.ch .

Draft; last updated 05.2026

This section describes how TRIA handles personal data.

  • TRIA does not track, collect, or retain any personal information, including IP addresses or cookies, from website users. Personal data collected from contributors are limited to name, email address, and affiliation information.
  • Authorship information (names, affiliation, and the email address of the designated contact person) forms part of the publicly accessible metadata of published datasets.
  • TRIA will take all reasonable measures to protect the privacy and security of its users' personal data. The handling of personal data complies with the Swiss Federal Act on Data Protection (DSG).

This section describes the policies governing metadata associated with datasets in the TRIA repository.

  • Contributors must provide all metadata in English.
  • Access to published metadata is open and free of charge.
  • Metadata are released under a CC0 license and may be re-used in any medium for any purpose without prior permission.
  • All metadata are provided "as-is". TRIA disclaims all warranties, express or implied.
  • The validity, authenticity, quality, and copyright compliance of submitted metadata are the sole responsibility of the contributor.

This section describes the policies governing all content items in the TRIA repository, including data and supporting materials.

  • The purpose of the TRIA platform is to host quantitative wood anatomy data generated by ROXAS or ROXAS AI.
    • All TRIA datasets comprise dated dendrochronological measurements and accompanying structured metadata on provenance and authorship.
    • Measurements data and metadata must comply with the TRIA database schema.
    • TRIA datasets may also contain supporting materials and supplemental files, such as images, raw measurements, and documentation, that improve the understanding and reuse of the datasets.
    • Contributors are encouraged to submit supporting materials alongside their datasets. However, the TRIA administrators reserve the right to exclude any supplementary files based on factors such as relevance, data quality, formats and size.
  • TRIA does not peer-review submitted datasets and takes no responsibility for their scientific validity, accuracy, or interpretability. This responsibility lies solely with the contributors.
  • Acquiring the permission of all data owners (e.g. co-authors, research groups, organizations, or funding institutions) and ensuring copyright compliance of all submitted content is the sole responsibility of the contributor.
  • Submission of personal or sensitive data is prohibited unless explicit consent and ethical approval are documented.
  • All datasets contributed to TRIA are intended to be openly accessible and usable, subject to the terms of the specified license. However, contributors may designate an embargo period during which access to their dataset is restricted.
  • Contributors must choose a license governing the terms of use of their dataset during the submission process. The recommended options are:
    • CC0, by which the contributor waives all copyright and dedicates the dataset to the public domain.
    • Creative Commons CC BY 4.0 and other CC licenses (CC BY-SA, CC BY-NC, CC BY-NC-SA, CC BY-ND, CC BY-NC-ND). These permit reuse, redistribution, and (except for ND) adaptation, provided attribution is given to the creator, under different combinations of share-alike, non-commercial, and no-derivatives conditions.
    • Contributors wishing to use a non-standard license beyond the CC scope can contact the TRIA administrators with their request and must provide the full license text with their submission.
    • TRIA takes no responsibility for licensing decisions made by contributors.
  • Contributors may specify an embargo period for their dataset. While embargoed, only dataset metadata (including information on sampling sites and sampled trees) are publicly accessible, ensuring the dataset remains findable and allowing researchers to assess the scope of its contents. Access to sampling-level information, all measurements data, and any supplementary files is restricted to TRIA administrators. Researchers wishing to access embargoed data must contact the contributor directly.
  • Users must respect the license terms of each dataset in any derivative works or publications. A recommended citation format is provided on each dataset's page. Attribution is encouraged for all datasets, even those released under CC0.

This section describes the policies governing the submission of datasets to the TRIA repository.

  • Contributors may only submit metadata and content items for which they have the necessary permissions and rights for distribution and publication.
  • Data must be prepared and validated using the rxs2tria R package prior to submission. As TRIA expands to support additional data types, corresponding extensions to the package will be made available.
  • All submitted datasets are subject to a technical validation process by the TRIA administrators, including checks on format, consistency, and mandatory metadata fields, as well as relevance to the scope of TRIA. The TRIA administrators may request clarifications or improvements before a dataset is formally integrated into the repository, and reserve the right to reject a submission at their discretion. Contributors will be informed of the reasons for rejection.
  • The validity, authenticity and quality of all submitted content are the sole responsibility of the contributor.
  • Contributors must specify a license to govern the terms of use of their dataset, and may specify an embargo period during which data access remains restricted. Contributors are solely responsible for ensuring that their chosen license and embargo duration comply with the policies of their institutions, publishers, and funding agencies.
  • Contributors are required to disclose any funding sources that provided financial support for the research resulting in the submitted dataset.
  • Publicly available datasets (i.e. those without an embargo period, or once an embargo period has expired) will be assigned a permanent Digital Object Identifier (DOI).
  • Any copyright violations related to submitted metadata or content are the responsibility of the contributor. If TRIA receives proof of a copyright violation, the relevant dataset will be removed immediately and the contributor informed. Copyright violations can be reported to tria@wsl.ch .

This section describes the policies governing the long-term retention, accessibility, and integrity of metadata and content items in the TRIA repository.

  • Metadata and content items will be retained for the entire duration of TRIA's existence.
  • In the event of TRIA shutting down, best efforts will be made to migrate all metadata and content items into a suitable alternative repository (such as EnviDat ).
  • TRIA maintains regular backups of all metadata and content items in accordance with WSL's IT department best practices.
  • Metadata and content items may be withdrawn at the request of the contributor or at the initiative of the TRIA administrators. Possible reasons for withdrawal include, but are not limited to:
    • violations of WSL research integrity guidelines,
    • proven copyright violation or plagiarism,
    • legal requirements,
    • publisher mandates.
  • Withdrawal requests should be submitted to tria@wsl.ch with a stated reason. The TRIA administrators will review the request and inform the contributor of the decision within 30 days.
  • Withdrawal does not mean erasure. Specifically:
    • Permanent identifiers (DOIs) and their associated URLs are retained for the entire duration of TRIA's existence.
    • DOI URLs will continue to point to tombstone records with a description explaining the reasons for withdrawal, to avoid broken links in scientific citations.
    • Content items are restricted and no longer publicly accessible, but are not deleted.
    • TRIA accepts no responsibility for copies of withdrawn data already downloaded prior to withdrawal.
  • Contributors or users wishing to appeal a withdrawal or rejection decision may contact tria@wsl.ch . Appeals will be reviewed by the TRIA administrators and a response provided within 30 days.
  • To ensure data integrity and reproducibility, TRIA discourages extensive changes or revisions to published datasets, particularly those assigned a DOI. In justified cases, updates or corrections may be requested by contacting tria@wsl.ch . Any such changes will be reviewed by the TRIA administrators before implementation. Updates to embargoed datasets are subject to less strict requirements and may be submitted at any time following the same guidelines as the initial submission.
  • Additions to published datasets, such as data from additional samples, reanalyzed measurements, or supplementary files, may be submitted at any time. Depending on the nature and extent of the additions, the TRIA administrators will decide in consultation with the contributor whether the new data should be integrated into the existing dataset or published as a separate submission. In either case, the relationship between the original and new dataset must be clearly documented.

This policy is based on the EnviDat policy v.2.0 .

Participate

TRIA is a community resource. Whether you're here to access datasets for your research or to contribute your own, here's how to get started.

Accessing data

Browse, explore, and download QWA datasets for your research.

Go to usage guidelines →
Contributing data

Share your QWA datasets with the community and get a citable DOI.

Go to submission guide →

Usage guidelines

Accessing data

All datasets on TRIA are freely accessible through the Browse tab. No registration is required to explore the platform or download publically available data.

Respect the license

Each dataset is published under a license chosen by the contributor. Check the license displayed on the dataset page before using the data. Usage must comply with its terms.

Give credit

Always use the citation information provided (including the DOI if available) in any publication or output that makes use of TRIA data. This directly supports the contributors who produced it.

Acknowledge TRIA

Where appropriate, acknowledge TRIA as the data source. Suggested citation formats are shown on each dataset page.

See the Data policy section on the About page for full details on acceptable use.


Submission guidelines

Contributing data

TRIA is in early access but open to contributions. The initial focus is on QWA datasets generated with ROXAS or ROXAS AI. If you have such data you wish to contribute, please contact us .

We currently welcome submissions of QWA datasets produced with ROXAS or ROXAS AI. All submissions are required to be standardized and validated with the rxs2tria R package.

To do so, follow the instructions of the rxs2tria R package here →

  1. 1
    Prepare your dataset

    Structure your data and metadata according to the submission requirements below. Use the rxs2tria R package on your raw ROXAS or ROXAS AI output files.

  2. 2
    Set your preferences

    Choose a license, set an embargo period if needed, and confirm authorship and citation details in the rxs2tria Shiny app.

  3. 3
    Submit dataset

    Upload your prepared dataset to a file sharing service of your choice (e.g. Google Drive, Dropbox, institutional FTP). Send the download link to tria@wsl.ch . You will receive confirmation once we have validated your submission.

  4. 4
    Get published

    Your dataset is added to TRIA, credited to you, and---if open---will be assigned a DOI.

Submission requirements

Data format

Datasets must be produced with ROXAS or ROXAS AI and prepared with rxs2tria . Raw or processed images may also be included with the submission.

Metadata

Complete provenance information is required: species, site location, sampling year, coordinate system, and processing details. The metadata must comply with the TRIA JSON schema .

Quality

Submissions are checked for formal consistency by the TRIA team. Datasets that do not meet minimum quality standards will not be accepted. Data contributors are solely responsibly for the quality and accuracy of their data.

All submissions must comply with the Data policy

Licensing & embargo

Contributors choose a Creative Commons license at submission. CC BY 4.0 is recommended — it maximises reusability while ensuring attribution. More restrictive licenses (e.g. CC BY-NC) are available if needed.

An optional embargo period of up to 10 years is available for datasets linked to manuscripts in preparation or under review. Embargoed datasets are not yet elligible for a DOI. The embargo can be lifted at any time.


Documentation & support

Submission guide

Step-by-step instructions for preparing and submitting a dataset. Read →

Metadata specification

Full list of required and optional metadata fields with definitions. Read →

GitHub

Source code, issue tracker, and technical documentation. View repository →

Questions or issues? Reach us at tria@wsl.ch or open an issue on GitHub.