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An analysis of landslides in Great Britain using soil texture, rainfall, and topography reveals contrasting failure conditions between organic and mineral soils
doi.org/10.31223/X5PX8Z

Hydrological modeling in a highly urbanized watershed using explainable machine learning and sub-hourly data: A case study in the city of Sao Paulo, Brazil
doi.org/10.31223/X5GF54

Processing flaws and uneven Sentinel-1 coverage distort global flood trend interpretations
doi.org/10.31223/X5M46N -1

Deep-learning climate emulator ACE2 reveals a global decrease in tropical cyclone 5 frequency in the 15th Century under an El Niño-like sea surface temperature pattern
doi.org/10.31223/X5445X

Cube2sph-GPU: A GPU accelerated toolkit enabling flexible continental-scale regional and teleseismic full waveform inversion
doi.org/10.31223/X5HF42 -performanceComputing -waveformInversion

Terra Preta de Índio as an Emergent Ecological State: Reclassifying a Path-Dependent Attractor from Constructible Substrate
doi.org/10.31223/X5FN2R ;Biochar;EmergentEcologicalState;AttractorDynamics;PathDependence;SoilMultistability

Stable isotopic composition, paleoecology, and habitat of the ammonite Sphenodiscus lobatus in the Late Cretaceous (Maastrichtian) Western Interior Seaway
doi.org/10.31223/X5RV0V

Accounting for uncertainty from internal variability in global-temperature based attribution of climate extremes with single realisations
doi.org/10.31223/X5WN2S

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