Data for: Benchmarked and leakage-validated deep-learning glacier segmentation: a 42-year, five-sensor snow-fraction record for western North America
- DOI
- 10.5281/zenodo.22311126
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.22311126,
title = {Data for: Benchmarked and leakage-validated deep-learning glacier segmentation: a 42-year, five-sensor snow-fraction record for western North America},
author = {Tarka and Baraer, Michel and Aubry-Wake, Caroline},
year = {2026},
doi = {10.5281/zenodo.22311126},
url = {https://doi.org/10.5281/zenodo.22311126}
}RIS
TY - JOUR TI - Data for: Benchmarked and leakage-validated deep-learning glacier segmentation: a 42-year, five-sensor snow-fraction record for western North America AU - Tarka AU - Baraer, Michel AU - Aubry-Wake, Caroline PY - 2026 DO - 10.5281/zenodo.22311126 UR - https://doi.org/10.5281/zenodo.22311126 ER -
APA
Tarka, Michel, B., & Caroline, A. (2026). Data for: Benchmarked and leakage-validated deep-learning glacier segmentation: a 42-year, five-sensor snow-fraction record for western North America. https://doi.org/10.5281/zenodo.22311126