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Data from article "Is the Atlantic a Source for Decadal Predictability of Sea-Level Rise in Venice?"

<p>Data from the article Zanchettin D., et al.:&nbsp;Is the Atlantic a Source for Decadal Predictability of Sea-Level Rise in Venice?, Earth and Space Science, article&nbsp;number&nbsp;2022EA002494</p> <p>The dataset contains:</p> <p>- annual time series of October-March average of relative sea level in Venice corrected for vertical land movement (VLMcorrectedRSL) with associated standard error of the mean (LMcorrectedRSL_SEM) for the period 1873-2019;</p> <p>- annual time series of estimate of subsidence in Venice (Subsidence)&nbsp;for the period 1873-2019</p> <p>- modeled state of Venice sea level with associated uncertainty, provided as mean (delta_mean), 1st percentile&nbsp;(delta_1_percentile) and&nbsp;99th percentile&nbsp;(delta_99_percentile),&nbsp;for the period 1873-2019</p> <p>- modeled local stochastic trend of Venice sea level with associated uncertainty, provided as mean (beta_mean), 1st percentile&nbsp;(beta_1_percentile) and&nbsp;99th percentile&nbsp;(beta_99_percentile),&nbsp;for the period 1873-2019</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
20
Reuse readiness
8
Engagement
0

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