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ShareScore release 0.9.0
Dataset results
2 results for “Terrestrial water cycle”
Processed Data for Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology.
<p>These files include all data used to create Figures in Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology. Raw data provenances and methodological processing are cited in the published manuscript.</p> <p>See README file for metadata information.</p>
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> </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>
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