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Data and code for "Terrestrial water cycle acceleration-deceleration: Non-binary and space-time divergent"

<p>This dataset provides all data compiled and generated for the manuscript entitled "Terrestrial water cycle acceleration-deceleration: Non-binary and space-time divergent" (manuscript under consideration). This includes the boundaries for 3614 hydrological catchments, the curated data used for analysis and modelling, the developed machine learning model, shapley values and area of applicability results, and data for global extrapolation</p> <p>It also contains the code in a Quarto file ('Code.qmd') and a markdown file ('Code.html') which shows how to access and use the data, and generic sample codes used to generate these results.</p> <p>&nbsp;</p> <p>Code - R session info:</p> <p>R version 4.2.1 (2022-06-23 ucrt)</p> <p>Platform: x86_64-w64-mingw32/x64 (64-bit)</p> <p>Running under: Windows 10 x64 (build 22621)</p> <p>Matrix products: default locale: [1] LC_COLLATE=Portuguese_Brazil.utf8 LC_CTYPE=Portuguese_Brazil.utf8 [3] LC_MONETARY=Portuguese_Brazil.utf8 LC_NUMERIC=C [5] LC_TIME=Portuguese_Brazil.utf8</p> <p>attached base packages: [1] stats [2] graphics [3] grDevices [4] utils [5] datasets [6] methods [7] base</p> <p>other attached packages: [1] bundle_0.0.0.9200 [2] stacks_1.0.0 [3] bonsai_0.1.0 [4] rules_1.0.0 [5] finetune_0.2.0 [6] yardstick_1.0.0 [7] workflowsets_1.0.0 [8] workflows_1.0.0 [9] tune_1.0.0 [10] tibble_3.1.7 [11] rsample_1.0.0 [12] recipes_1.0.1 [13] purrr_0.3.4 [14] parsnip_1.0.0 [15] modeldata_1.0.0 [16] infer_1.0.2 [17] dials_1.0.0 [18] scales_1.2.0 [19] broom_1.0.0 [20] tidymodels_1.0.0 [21] ggplot2_3.3.6 [22] rnaturalearth_0.1.0 [23] sf_1.0-8 [24] terra_1.6-3 [25] lubridate_1.8.0 [26] stringr_1.4.0 [27] tidyr_1.2.0 [28] dplyr_1.0.9 [29] pacman_0.5.1</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
December 16, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7451325

Scored with release 0.9.0

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