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31 to 40 of 4,335 Results
100.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 110.0 MB - MD5: a5f01c11617ae2d219eb9ce1022bd4d4
Strcuture prediction directory at 100 GPa.
10.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 125.3 MB - MD5: 7cd36db01b6ba105e61e7eedf036bd32
Strcuture prediction directory at 10 GPa.
150.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 112.5 MB - MD5: b8390e6ea9fd8d854202ca52ff61234e
Strcuture prediction directory at 150 GPa.
30.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 88.9 MB - MD5: bbdb35371bad5a4adb370a136b889e13
Strcuture prediction directory at 30 GPa.
50.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 176.3 MB - MD5: e6a06c341530f0e8e26c5edbffc740c6
Strcuture prediction directory at 50 GPa.
amb.tar.gzUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Gzip Archive - 275.0 MB - MD5: f0a0a1b8f4871d06eed94a04c77f5c85
Strcuture prediction directory at ambient pressure.
Hidden pressure-stabilized lead reservoirs in Earth’s mantle.pdfUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Adobe PDF - 1.2 MB - MD5: 79ef6c2b164bae93d52a31fea84d6c90
Article
Source data.tabUnpublished
Feb 24, 2026 - Replication Data for: Hidden pressure-stabilized lead reservoirs in Earth’s mantle
Tabular Data - 5.0 KB - 33 Variables, 76 Observations - UNF:6:U22qjtbJcmMvwd7wmF+iHw==
Source data of article. https://doi.org/10.1038/s41467-026-69772-8
Inventory of flood damage models and data for rice.tab
Jan 31, 2026 - Data for: Flood damage functions for rice: synthesizing evidence and building data-driven models
Tabular Data - 145 B - 1 Variables, 1 Observations - UNF:6:1XQwF4VK03RCYze/QOYj7A==
Chapter2.REmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
R Syntax - 47.5 KB - MD5: 0cdb781411516736640445e4dd725d7e
R code for Chapter 2
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