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SIMPLE-G US Jupyter Notebook
22 Sep 2022 | Contributor(s): Gaurav Sachdev, Jungha Woo, Lan Zhao
Jupyter Notebook version of the SIMPLE-G US Tool
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SIMPLE-G US Web Application
11 Sep 2018 | Contributor(s): Jungha Woo, Uris Lantz C Baldos, Lan Zhao, Carol Song, Jaewoo Shin
SIMPLE-G US is the US version of the SIMPLE-G
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Simsphere
06 Oct 2011 | Tools
A Biosphere/Atmosphere Simulation
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SJRWI Water Quality Data
16 Jun 2009 | Online Presentations
A description of the SJRWI Water Quality DataHsiao-Chiang Chuang
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SPAM in the Clouds
25 Jul 2014 | Tools | Contributor(s): Liangzhi You, Ulrike Wood-Sichra, Jingyu Song, Nelson Benjamin Villoria, Paul Preckel, Jaewoo Shin, Lan Zhao
Spatial Production Allocation Model (SPAM) 2005 Beta Version
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SPAM in the Clouds
01 Oct 2014 | Workshops | Contributor(s): Jingyu Song, Nelson Benjamin Villoria, Paul Preckel
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SPAM in the Clouds
03 Oct 2014 | Online Presentations | Contributor(s): Jingyu Song, Nelson Benjamin Villoria, Paul Preckel
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Spatially Explicit Analysis of Agriculture and Poverty in Asia
31 Jul 2014 | Online Presentations | Contributor(s): Andrew Nelson
Presentation by Andrew Nelson at the GEOSHARE Workshop, 23 May 2011BioAndrew NelsonInternational Rice Research Institute
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Spatially Explicit Analysis of Agriculture, Poverty and Economic Development in Sub-Saharan Africa
31 Jul 2014 | Online Presentations | Contributor(s): Stanley Wood
Presentation by Stanley Wood at the GEOSHARE Workshop, 23 May 2011BioStanley WoodSenior Research Fellow - Environment and Production Technology Division, IFPRICo-PI - HarvestChoiceCoordinator - CGIAR Consortium on Spatial Information (CGIAR/CSI)
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Start Your Own GABBs Hub in AWS
25 Apr 2017 | Online Presentations | Contributor(s): Rajesh Kalyanam
This video illustrates the use of an AWS CloudFormation template to deploy a GABBs-enabled HUBzero instance in Amazon Web Services (AWS).Using this approach, any user can be up and running with a fully featured, functional hub instance with geospatial data management, and processing and...
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State-of-the-art in Data Fusion
01 Oct 2014 | Online Presentations | Contributor(s): Navin Ramankutty
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Stay In Touch
24 Sep 2013 | Downloads | Contributor(s): Melissa Widhalm, John Kriva
This is a 1 page full-color handout that highlights three ways to stay connected to the U2U project. Information is provided about our website, blog, and newsletter. Everyone is encouraged to print and distribute this info-sheet.
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Student Projects
14 Nov 2010 | Teaching Materials
The researchers of the DRINET project computed drought prediction data at 75 observation sites in Indiana for each month between December 1889 and December 2007. The model output was used in a student project in Purdue fall 2009 CS 530 (Introduction to Scientific Visualization). The goal of this...
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SuperPower
22 Feb 2019 | Tools | Contributor(s): I Luk Kim, Nicole Brewer, Rob Campbell, Jaewoo Shin, Lan Zhao, Erin P Hennes, Sean P Lane
Superpower for estimating power across multiple model families.
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Survey Examines Ag Advisors' Use of Climate Information (press release)
30 Apr 2013 | Publications | Contributor(s): John Kriva, Melissa Widhalm
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SWATShare User Manual
29 Jul 2014 | Downloads | Contributor(s): Venkatesh Merwade, Lan Zhao, Adnan Rajib
This document shows end users how to start using the SWATShare tool on water hub.
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Systems integration for global sustainability
24 Jun 2016 | Publications | Contributor(s): Jianguo Liu, Harold Mooney, Vanessa Hull, Steven J. Davis, Joanne Gaskell, Thomas Hertel, Jane Lubchenco, Karen C. Seto, Peter Gleick, Claire Kremen, Shuxin Li
Global sustainability challenges, from maintaining biodiversity to providing clean air and water, are closely interconnected yet often separately studied and managed. Systems integration—holistic approaches to integrating various components of coupled human and natural systems—is...
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Term Paper Dare 2011
04 May 2011 | Downloads | Contributor(s): Darrell Schulze, Anne Dare
Anne Dare. Increasing the global competence of scientists and engineers. Spring 2011.
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Terrestrial water storage anomalies (TWSA) derived from GRACE satellites and global land surface models in the Yellow River Basin
01 Aug 2019 | Downloads | Contributor(s): Wenlong Jing
The dataset includes:(1) Terrestrial water storage anomalies (TWSA) derived from GRACE satellites and global land surface models in the Yellow River Basin during 2003 to 2016(2) Waster withdrawals in the Yellow River Basin during 2003 to 2016
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Terrestrial water storage anomalies of Pearl River Basin, China (1948-2016)
12 Oct 2019 | Downloads | Contributor(s): Wenlong Jing
The relationships were learned by using two ensemble learning algorithms, the Random Forest (RF) and eXtreme Gradient Boost (XGB), respectively. The TWSA in the Pearl River basin was reconstructed back to past decades (1948-2016).