10.4231/8AJD-2483
Amy M Marconnet , Ivan C. Christov , Pranay Praveen Nagrani
12/15/2023
Zip files containing simulations, data, and post-processing scripts, used to generate the figures in the manuscript "Hydrodynamics of bubble flow through a porous medium with applications to packed bed reactors" by Nagrani, Marconnet...
CFD Fluid Mechanics microgravity multiphase flow NASA packed-bed reactor porous media
10.4231/H7ZJ-6J45
Alexandra Meyer , Lisa Welp-Smith
05/12/2023
Attenuation times were quantified during laboratory experiments testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper) at two different temperatures.
carryover deuterium excess EAPS isotopic Los Gatos memory effect water isotopes Water Vapor
10.4231/44K5-EJ32
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
01/11/2023
Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn earleaf at R1 under tillage, crop rotation, nitrogen (2017, 2019), and sulfur treatments (2020, 2021). Part of the Long-Term Tillage study in West Lafayette, IN.
Agronomy chisel-plow conservation tillage Corn crop rotation earleaf grain moisture Grain Yield Maize moldboard-plow no-till nutrient data plant height plant population planting date Purdue University ridge-till Soybean SPAD Chlorophyll Meter strip-till
10.4231/9BA5-KK34
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
02/02/2023
Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain at R6 across seven site-years involving tillage, crop rotation, nitrogen (2015-19), and sulfur treatments (2020-21). Part of the Long-Term Tillage study in West Lafayette, IN.
4R Nutrient Management Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture grain nutrient Grain Yield kernel number kernel weight Maize moldboard-plow no-till nutrient removal plant height plant population planting date Purdue University Soybean strip-till
10.4231/GPZW-DR78
Alicia West , Garrett S Verhagen , Terry D West , Tony J Vyn
01/11/2023
Nutrient content (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain and shoot at maturity across five site-years (2015-2019) under tillage, crop rotation, and nitrogen treatments. Part of the Long-Term Tillage study in West Lafayette, IN.
Agronomy chisel-plow cob nutrient conservation tillage Corn crop rotation grain moisture grain nutrient Grain Yield Maize moldboard-plow Nitrogen no-till nutrient content nutrient removal nutrient uptake plant height plant population planting date Purdue University ridge-till Soybean stover nutrient strip-till
10.4231/0643-AM58
08/11/2023
Files used for calibration and analysis of hydration feature as observed by Deep Impact during the 2009 lunar flyby of the south pole
10.4231/3AKW-VX52
Daniel Robert Chavas , Jie Chen
04/03/2023
This dataset provides the CM1 scripts to reproduce the idealized TC landfalls, and simulation outputs of the landfall experiments examined in the paper.
EAPS Hurricanes TC hazards TC landfalls TC structure theoretical TC wind field model tropical cyclones
10.4231/4WN4-S032
01/26/2023
This dataset contains the revised Arctic Lake Biogeochemistry Model (ALBM) code for the study of Linking biogeochemical and hydrodynamic processes to model methane fluxes in shallow, tropical floodplain lakes.
10.4231/0PG5-KC30
Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade
01/23/2023
This resource contains the data used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) covariate shift Hydrology Machine Learning prediction in ungauged basin Random Forest streamflow prediction
10.4231/B783-2C47
Pin-ching Li , Sayan Dey , Venkatesh Mohan Merwade
01/23/2023
This resource contains codes used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)
Artificial Neural Network (ANN) Machine Learning Random Forest streamflow prediction
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