Datasets

subject: EAPS type: dataset

Total is 63 Results
Global CO Dynamics Model Output during 1901-2100

10.4231/JGZ8-9C75

Licheng Liu ORCID logo , Qianlai Zhuang ORCID logo

07/05/2019

Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.

Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences

Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

10.4231/ANMV-J384

Junrong Zha , Qianlai Zhuang ORCID logo

07/25/2019

Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).

Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)

Topographic degradation by impact cratering on airless bodies is dominated by diffusive erosion from distal ejecta

10.4231/R79C6VMX

Bryan Howl , Caleb Fassett , David Minton ORCID logo , James Richardson , Masatoshi Hirabayashi

12/22/2017

Data to reproduce figures and movies for the paper "Topographic degradation by impact cratering on airless bodies is dominated by diffusive erosion from distal ejecta."

EAPS Planetary Science

Three Dynamical Evolution Regimes for Coupled Ring-Satellite Systems and Implications for the Formation of the Uranian Satellite Miranda

10.4231/R7DR2SP6

Andrew Hesselbrock ORCID logo , David Minton ORCID logo

05/01/2018

Coupled ring-satellite systems fall into three distinct dynamical regimes, “Boomerang,” “Non-Boomerang,” and “Torque-Dependent.” This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.

EAPS Modeling Planetary Science Python Code

C4 photosynthesis and climate through the lens of optimality

10.4231/R7PR7T75

Ashley Dicks , Brent Helliker , Erol Akçay , Haoran Zhou ORCID logo , Matthew Huber ORCID logo

10/30/2018

Post-processed climate model output and associated source code for "C4 photosynthesis and climate through the lens of optimality"

c4 Climate Change EAPS Earth and Atmospheric Sciences Evolution Huber Miocene Paleoclimate Plants

Water vapor stable isotope memory effects of common tubing materials

10.4231/T6J3-H649

Alexandra Meyer ORCID logo , Lisa Welp-Smith ORCID logo

11/16/2023

A laboratory experiment testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper, plus Bev-A-Line XX). Memory metrics are quantified at 2 different temperatures.

carryover deuterium excess EAPS isotopic Los Gatos memory effect water isotopes Water Vapor

Water vapor stable isotope memory effects of common tubing materials

10.4231/Y13T-6775

Alexandra Meyer ORCID logo , Lisa Welp-Smith ORCID logo

06/27/2024

A laboratory experiment testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper, plus Dekabon and Bev-A-Line XX). Memory metrics for common materials are quantified at 2 different temperatures.

carryover deuterium excess EAPS isotopic Los Gatos memory effect water isotopes Water Vapor

A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

10.4231/NR0B-EJ07

Qianlai Zhuang ORCID logo , Xinyu Liu , Xuan Xi ORCID logo

05/24/2024

This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.

EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)

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