@article{
 title = {Ground Deformation Data from GEER Investigations of Ridgecrest Earthquake Sequence},
 type = {article},
 year = {2020},
 identifiers = {[object Object]},
 month = {2},
 publisher = {Seismological Society of America (SSA)},
 day = {19},
 id = {2a45920a-f82c-30bb-b6fe-71bfa410abd5},
 created = {2020-04-21T21:03:30.152Z},
 accessed = {2020-04-21},
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 last_modified = {2020-04-21T21:03:30.223Z},
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 starred = {false},
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 abstract = {Following the Ridgecrest earthquake sequence, consisting of an M 6.4 foreshock and M 7.1 mainshock along with many other events, the Geotechnical Extreme Events Reconnaissance association deployed a team to gather perishable data. The team focused their efforts on documenting ground deformations including surface fault rupture south of the Naval Air Weapons Station China Lake, and liquefaction features in Trona and Argus. The team published a report within two weeks of the M 7.1 mainshock. This article presents data products gathered by the team, which are now published and publicly accessible. The data products presented herein include ground-based observations using Global Positioning System trackers, digital cameras, and hand-measuring devices, as well as unmanned aerial vehicle-based imaging products using Structure from Motion to create point clouds and digital surface models. The article describes the data products, as well as tools available for interacting with the products.},
 bibtype = {article},
 author = {Brandenberg, Scott J. and Stewart, Jonathan P. and Wang, Pengfei and Nweke, Chukwuebuka C. and Hudson, Kenneth and Goulet, Christine A. and Meng, Xiaofeng and Davis, Craig A. and Ahdi, Sean K. and Hudson, Martin B. and Donnellan, Andrea and Lyzenga, Gregory and Pierce, Marlon and Wang, Jun and Winters, Maria A. and Delisle, Marie-Pierre and Lucey, Joseph and Kim, Yeulwoo and Gallien, Timu W. and Lyda, Andrew and Yeung, J. Sean and Issa, Omar and Buckreis, Tristan and Yi, Zhengxiang},
 journal = {Seismological Research Letters}
}

Following the Ridgecrest earthquake sequence, consisting of an M 6.4 foreshock and M 7.1 mainshock along with many other events, the Geotechnical Extreme Events Reconnaissance association deployed a team to gather perishable data. The team focused their efforts on documenting ground deformations including surface fault rupture south of the Naval Air Weapons Station China Lake, and liquefaction features in Trona and Argus. The team published a report within two weeks of the M 7.1 mainshock. This article presents data products gathered by the team, which are now published and publicly accessible. The data products presented herein include ground-based observations using Global Positioning System trackers, digital cameras, and hand-measuring devices, as well as unmanned aerial vehicle-based imaging products using Structure from Motion to create point clouds and digital surface models. The article describes the data products, as well as tools available for interacting with the products.

@inbook{
 type = {inbook},
 year = {2019},
 identifiers = {[object Object]},
 pages = {157-170},
 websites = {http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7598-6.ch012},
 publisher = {IGI Global},
 city = {Hershey, PA, USA},
 id = {68b708e4-1b2e-35e8-a3fb-75ae09b4a0a5},
 created = {2019-08-15T19:24:16.885Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {0e433c5b-85c4-32aa-851c-c145aac9f80f},
 last_modified = {2019-08-27T14:14:28.997Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 source_type = {CHAP},
 private_publication = {false},
 abstract = {Computers accelerate our ability to achieve scientific breakthroughs. As technology evolves and new research needs come to light, the role for cyberinfrastructure as “knowledge” infrastructure continues to expand. In essence, cyberinfrastructure can be thought of as the integration of supercomputers, data resources, visualization, and people that extends the impact and utility of information technology. This chapter discusses cyberinfrastructure, the related topics of science gateways and campus bridging, and identifies future challenges and opportunities in cyberinfrastructure.},
 bibtype = {inbook},
 author = {Stewart, Craig A and Knepper, Richard and Link, Matthew R and Pierce, Marlon and Wernert, Eric and Wilkins-Diehr, Nancy},
 editor = {Mehdi Khosrow-Pour, D B A},
 chapter = {Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use},
 title = {Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics}
}

Computers accelerate our ability to achieve scientific breakthroughs. As technology evolves and new research needs come to light, the role for cyberinfrastructure as “knowledge” infrastructure continues to expand. In essence, cyberinfrastructure can be thought of as the integration of supercomputers, data resources, visualization, and people that extends the impact and utility of information technology. This chapter discusses cyberinfrastructure, the related topics of science gateways and campus bridging, and identifies future challenges and opportunities in cyberinfrastructure.

@inproceedings{
 title = {The USD Science Gateway},
 type = {inproceedings},
 year = {2019},
 identifiers = {[object Object]},
 pages = {1-4},
 websites = {http://dl.acm.org/citation.cfm?doid=3332186.3333254},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 id = {c138994c-8dc7-3c35-a93a-80a0583037a9},
 created = {2019-08-15T21:24:32.397Z},
 accessed = {2019-08-15},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {0e433c5b-85c4-32aa-851c-c145aac9f80f},
 last_modified = {2019-09-12T17:32:38.345Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Science Gateways are virtual environments that accelerate scientific discovery by enabling scientific communities to more easily and effectively utilize distributed computing and data resources. Successful Science Gateways provide access to sophisticated and powerful resources, while shielding their users from the underlying complexities. Here we present updated work completed by the University of South Dakota (USD) Research Computing Group in conjunction with the Science Gateways Community Institute (SGCI) [1] and Science Gateways Research Center at Indiana University to set up a Science Gateway to access USD's high-performance computing resources. We also introduce improvements to the system since the previous presentation of our work. These resources are now available to both faculty and students and allow ease of access and use of USD's distributed computing and data resources. The implementation of this gateway project has been multifaceted and has included placement of federated user login, user facilitation and outreach, and integration of USD's cyberinfrastructure resources. We present this project as an example for other research computing groups so that they may learn from our successes and the challenges that we have overcome in providing this user resource. Additionally, this project serves to exemplify the importance of creating a broad user base of research computing infrastructure through the development of alternative user interfaces such as Science Gateways.},
 bibtype = {inproceedings},
 author = {Kleinsasser, Adison A. and Pamidighantam, Sudhakar and Jennewein, Douglas M. and Madison, Joseph D. and Christie, Marcus and Abeysinghe, Eroma and Marru, Suresh and Pierce, Marlon},
 booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) - PEARC '19}
}

Science Gateways are virtual environments that accelerate scientific discovery by enabling scientific communities to more easily and effectively utilize distributed computing and data resources. Successful Science Gateways provide access to sophisticated and powerful resources, while shielding their users from the underlying complexities. Here we present updated work completed by the University of South Dakota (USD) Research Computing Group in conjunction with the Science Gateways Community Institute (SGCI) [1] and Science Gateways Research Center at Indiana University to set up a Science Gateway to access USD's high-performance computing resources. We also introduce improvements to the system since the previous presentation of our work. These resources are now available to both faculty and students and allow ease of access and use of USD's distributed computing and data resources. The implementation of this gateway project has been multifaceted and has included placement of federated user login, user facilitation and outreach, and integration of USD's cyberinfrastructure resources. We present this project as an example for other research computing groups so that they may learn from our successes and the challenges that we have overcome in providing this user resource. Additionally, this project serves to exemplify the importance of creating a broad user base of research computing infrastructure through the development of alternative user interfaces such as Science Gateways.

@inproceedings{
 title = {InterACTWEL Science Gateway for Adaptation Planning in Food-Energy-Water Sectors of Local Communities},
 type = {inproceedings},
 year = {2019},
 identifiers = {[object Object]},
 pages = {1-4},
 publisher = {Association for Computing Machinery (ACM)},
 id = {ba0e9b5b-a3f7-325c-8399-1cb33bbe7104},
 created = {2019-08-19T14:44:39.569Z},
 accessed = {2019-08-19},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {0e433c5b-85c4-32aa-851c-c145aac9f80f},
 last_modified = {2019-08-27T14:14:28.803Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
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 abstract = {Since their inception in mid 2000s, adoption of Science Gateways as interfaces and conduits for digital infrastructure needed in science and engineering research and education has significantly increased. This trend has also driven changes in the types of services and resources that are now being expected from the Science Gateways by a growing group of diverse end users. In this poster, we present a novel Science Gateway, InterACTWEL (Interactive Adaptation and Collaboration Tool for managing Water, Energy and Land), which serves as a research cyberinfrastructure as well as an applied decision support system for adaptive natural resources management in interdependent food, energy, and water sectors. End users of this gateway include not only interdisciplinary technical and social science researchers, but also public and private sectoral stakeholders. The gateway is a collaboration between Oregon State University and Science Gateways Research Center, Pervasive Technology Institute at Indiana University, and is addressing challenges and solutions related to computational services, visualization techniques, advanced software applications, collaboration capabilities, cyber security and privacy, and data repositories unique to food-energy-water sectors and their stakeholders.},
 bibtype = {inproceedings},
 author = {Babbar-Sebens, Meghna and Rivera, Samuel and Abeysinghe, Eroma and Marru, Suresh and Pierce, Marlon and Coulter, Eric and Farahani, Majid and Wannipurage, Dimuthu and Christie, Marcus},
 booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) - PEARC '19}
}

Since their inception in mid 2000s, adoption of Science Gateways as interfaces and conduits for digital infrastructure needed in science and engineering research and education has significantly increased. This trend has also driven changes in the types of services and resources that are now being expected from the Science Gateways by a growing group of diverse end users. In this poster, we present a novel Science Gateway, InterACTWEL (Interactive Adaptation and Collaboration Tool for managing Water, Energy and Land), which serves as a research cyberinfrastructure as well as an applied decision support system for adaptive natural resources management in interdependent food, energy, and water sectors. End users of this gateway include not only interdisciplinary technical and social science researchers, but also public and private sectoral stakeholders. The gateway is a collaboration between Oregon State University and Science Gateways Research Center, Pervasive Technology Institute at Indiana University, and is addressing challenges and solutions related to computational services, visualization techniques, advanced software applications, collaboration capabilities, cyber security and privacy, and data repositories unique to food-energy-water sectors and their stakeholders.

@inproceedings{
 title = {LSU Computational System Biology Gateway for Education},
 type = {inproceedings},
 year = {2019},
 identifiers = {[object Object]},
 pages = {1-4},
 websites = {http://dl.acm.org/citation.cfm?doid=3332186.3333259},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 id = {11ef89c5-a63a-3627-ac30-41371d3e4431},
 created = {2019-08-19T14:45:42.294Z},
 accessed = {2019-08-19},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {0e433c5b-85c4-32aa-851c-c145aac9f80f},
 last_modified = {2019-09-12T17:32:37.962Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Science gateways are a mechanism for delivering scientific software as a service, especially when the software requires high performance computing (HPC) resources to run effectively. The existence of a science gateway eliminates the user's need to learn to work with HPC systems and to manage software installations and updates. With well-designed user interfaces, users can more quickly become effective users of scientific applications and can manage information needed for replicating, modifying, and sharing results. All of these efficiency gains enable users to focus more on their research. In addition, science gateways are being identified as an effective educational tool, a tool to be used in classroom environments as a method to get students quickly into research on domain specific questions. In the absence of a science gateway, students are likely to need a considerable time to learn to work with HPC systems, and any time spent on such will reduce their time on the actual science. This poster presents how the Louisiana State University (LSU) gateway for the Computational System Biology Group (CSBG) - (www.brylinski.org) was updated and improved to be a classroom teaching tool. This work makes extensive use of Apache Airavata's group management capabilities.},
 bibtype = {inproceedings},
 author = {Abeysinghe, Eroma and Brylinski, Michal and Christie, Marcus and Marru, Suresh and Pierce, Marlon},
 booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) - PEARC '19}
}

Science gateways are a mechanism for delivering scientific software as a service, especially when the software requires high performance computing (HPC) resources to run effectively. The existence of a science gateway eliminates the user's need to learn to work with HPC systems and to manage software installations and updates. With well-designed user interfaces, users can more quickly become effective users of scientific applications and can manage information needed for replicating, modifying, and sharing results. All of these efficiency gains enable users to focus more on their research. In addition, science gateways are being identified as an effective educational tool, a tool to be used in classroom environments as a method to get students quickly into research on domain specific questions. In the absence of a science gateway, students are likely to need a considerable time to learn to work with HPC systems, and any time spent on such will reduce their time on the actual science. This poster presents how the Louisiana State University (LSU) gateway for the Computational System Biology Group (CSBG) - (www.brylinski.org) was updated and improved to be a classroom teaching tool. This work makes extensive use of Apache Airavata's group management capabilities.

@inproceedings{
 title = {The Distant Reader},
 type = {inproceedings},
 year = {2019},
 identifiers = {[object Object]},
 pages = {1-4},
 websites = {http://dl.acm.org/citation.cfm?doid=3332186.3333260},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 id = {b60c0c89-d701-3aea-87e8-0cc135bf5119},
 created = {2019-08-19T14:46:24.989Z},
 accessed = {2019-08-19},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {0e433c5b-85c4-32aa-851c-c145aac9f80f},
 last_modified = {2019-09-12T18:48:08.623Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The Distant Reader science gateway can be used to automatically create and analyze text corpora at a scale of thousands of user-supplied documents. These processing steps are deployed on a dynamic virtual cluster deployed on XSEDE's Jetstream academic cloud computing resource and are accessed through a Web interface. The science gateway uses Apache Airavata middleware to manage the interactions between the Web interface and the virtual clusters. The gateway leverages the Science Gateway Platform as a service (SciGaP) infrastructure at Indiana University, which provides user authentication, authorization, and identity management as well as access to the Distant Reader tools. The Distant Reader is designed to assist in the process of using & understanding corpora -- reading.},
 bibtype = {inproceedings},
 author = {Morgan, Eric Lease and Abeysinghe, Eroma and Pamidighantam, Sudhkar and Coulter, Eric and Marru, Suresh and Pierce, Marlon},
 booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) - PEARC '19}
}

The Distant Reader science gateway can be used to automatically create and analyze text corpora at a scale of thousands of user-supplied documents. These processing steps are deployed on a dynamic virtual cluster deployed on XSEDE's Jetstream academic cloud computing resource and are accessed through a Web interface. The science gateway uses Apache Airavata middleware to manage the interactions between the Web interface and the virtual clusters. The gateway leverages the Science Gateway Platform as a service (SciGaP) infrastructure at Indiana University, which provides user authentication, authorization, and identity management as well as access to the Distant Reader tools. The Distant Reader is designed to assist in the process of using & understanding corpora -- reading.

@inproceedings{
 title = {How the Science Gateways Commun