Parallelization of the GESIMA Mesoscale Atmospheric Model. - M. Ashworth; F. Foelkel; V. Gülzow; Kerstin Kleese; D. P. Eppel; H. Kapitza; S. Unger (Parallel Comput., 1997)

A Multidisciplinary Scientific Data Portal. - John V. Ashby; Juan Bicarregui; David R. S. Boyd; Kerstin Kleese van Dam; Simon C. Lambert; Brian Matthews; Kevin D. O'Neill (HPCN Europe, 2001)

Enabling technologies for improved data management: Hardware. - Kerstin Kleese van Dam; Michael Hopewell (Sci. Program., 2001)

Environment from the Molecular Level e-Science Project and its Use of CCLRC's Web Services Based Data Portal. - Lisa Blanshard; Kerstin Kleese van Dam; Martin T. Dove (ICWS, 2003)

Case Study: Using Web Services for the Management of Environmental Data. - Lisa Blanshard; Rik P. Tyer; Glen Drinkwater; Ananta Manandhar; Shoaib Sufi; Kerstin Kleese van Dam; Martin T. Dove (IEEE SCC, 2004)

Data Management with the CCLRC Data Portal. - Glen Drinkwater; Shoaib Sufi; Ananta Manandhar; Lisa Blanshard; Kerstin Kleese van Dam (PDPTA, 2004)

Semantic integration of file-based data for grid services. - Andrew Woolf; Ray Cramer; Marta Gutierrez; Kerstin Kleese van Dam; Siva Kondapalli; Susan Latham; Bryan Lawrence; Roy K. Lowry; Kevin O'Neill (CCGRID, 2005)

Computational Grids for Mid-Sized Collaborative Projects: The eMinerals Experience. - Martin T. Dove; Toby O. H. White; Andrew M. Walker; Richard Paul Bruin; Kat F. Austen; Emilio Artacho; L. A. Sullivan; Mark Calleja; Matthew G. Tucker; Rik P. Tyer; Philip A. Couch; Kerstin Kleese van Dam; et al. (e-Science, 2006)

ICAT: Integrating Data Infrastructure for Facilities Based Science. - Damian Flannery; Brian Matthews; Tom Griffin; Juan Bicarregui; Michael Gleaves; Laurent Lerusse; Roger Downing; Alun Ashton; Shoaib Sufi; Glen Drinkwater; Kerstin Kleese van Dam (eScience, 2009)

Using a Core Scientific Metadata Model in Large-Scale Facilities. - Brian Matthews; Shoaib Sufi; Damian Flannery; Laurent Lerusse; Tom Griffin; Michael Gleaves; Kerstin Kleese van Dam (Int. J. Digit. Curation, 2010)

Designing the Cloud-Based DOE Systems Biology Knowledgebase. - Carina Lansing; Yan Liu 001; Jian Yin 002; Abigail L. Corrigan; Zoe Guillen; Kerstin Kleese van Dam; Ian Gorton (IPDPS Workshops, 2011)

Preface. - Will Bridewell; Yolanda Gil; Haym Hirsh; Kerstin Kleese van Dam; Karsten Steinhaeuser (AAAI Fall Symposium: Discovery Informatics, 2012)

Velo and REXAN - Integrated data management and high speed analysis for experimental facilities. - Kerstin Kleese van Dam; James P. Carson; Abigail L. Corrigan; Daniel R. Einstein; Zoe Guillen; Brandi Heath; Andrew P. Kuprat; Ingela Lanekoff; Carina Lansing; Julia Laskin; Dongsheng Li; Yan Liu 001; et al. (eScience, 2012)

Visualization of high resolution spatial mass spectrometric data during acquisition. - Mathew Thomas; Brandi S. Heath; Julia Laskin; Dongsheng Li; Ellen Liu; Katrina Hui; Andrew P. Kuprat; Kerstin Kleese van Dam; James P. Carson (EMBC, 2012)

Status Report of the DPHEP Study Group: Towards a Global Effort for Sustainable Data Preservation in High Energy Physics - Z. Akopov; Silvia Amerio; David Asner; Eduard Avetisyan; Olof Bärring; James Beacham; Matthew Bellis; Gregorio Bernardi; Siegfried Bethke; Amber Boehnlein; Travis Brooks; Thomas Browder; et al. (CoRR, 2012)

Build less code deliver more science: an experience report on composing scientific environments using component-based and commodity software platforms. - Ian Gorton; Yan Liu 001; Carina Lansing; Todd Elsethagen; Kerstin Kleese van Dam (CBSE, 2013)

Trelliscope: A system for detailed visualization in the deep analysis of large complex data. - Ryan Hafen; Luke J. Gosink; Jason E. McDermott; Karin Rodland; Kerstin Kleese van Dam; William S. Cleveland (LDAV, 2013)

Large-scale exploratory analysis, cleaning, and modeling for event detection in real-world power systems data. - Ryan Hafen; Tara D. Gibson; Kerstin Kleese van Dam; Terence Critchlow (HiPCNA-PG@SC, 2013)

3D imaging of microbial biofilms: Integration of synchrotron imaging and an interactive visualization interface. - Mathew Thomas; Matthew J. Marshall; Erin A. Miller; Andrew P. Kuprat; Kerstin Kleese van Dam; James P. Carson (EMBC, 2014)

Leveraging large sensor streams for robust cloud control. - Alok Singh 004; Eric G. Stephan; Todd Elsethagen; Matt MacDuff; Bibi Raju; Malachi Schram; Kerstin Kleese van Dam; Darren J. Kerbyson; Ilkay Altintas (IEEE BigData, 2016)

A Scientific Data Provenance API for Distributed Applications. - Bibi Raju; Todd Elsethagen; Eric G. Stephan; Kerstin Kleese van Dam (CTS, 2016)

Management, analysis, and visualization of experimental and observational data - The convergence of data and computing. - E. Wes Bethel; Martin Greenwald; Kerstin Kleese van Dam; Manish Parashar; Stefan M. Wild; H. Steven Wiley (eScience, 2016)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

Performance Visualization for TAU Instrumented Scientific Workflows. - Cong Xie; Wei Xu 020; Sungsoo Ha; Kevin A. Huck; Sameer Shende; Hubertus Van Dam; Kerstin Kleese van Dam; Klaus Mueller 001 (VISIGRAPP (3: IVAPP), 2018)

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. - Line Pouchard; Sterling Baldwin; Todd Elsethagen; Carlos Gamboa; Shantenu Jha; Bibi Raju; Eric G. Stephan; Li Tang 007; Kerstin Kleese van Dam (CoRR, 2018)

Building Near-Real-Time Processing Pipelines with the Spark-MPI Platform. - Nikolay Malitsky; Aashish Chaudhary; Sébastien Jourdain; Matt Cowan; Patrick O'Leary; Marcus D. Hanwell; Kerstin Kleese van Dam (CoRR, 2018)

The future of scientific workflows. - Ewa Deelman; Tom Peterka; Ilkay Altintas; Christopher D. Carothers; Kerstin Kleese van Dam; Kenneth Moreland; Manish Parashar; Lavanya Ramakrishnan; Michela Taufer; Jeffrey S. Vetter (Int. J. High Perform. Comput. Appl., 2018)

MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views. - Wen Zhong; Wei Xu 020; Kevin G. Yager; Gregory S. Doerk; Jian Zhao 010; Yunke Tian; Sungsoo Ha; Cong Xie; Yuan Zhong; Klaus Mueller 001; Kerstin Kleese van Dam (Vis. Informatics, 2018)

Experimental Data Curation at Large Instrument Facilities with Open Source Software. - Line Pouchard; Kerstin Kleese van Dam; Stuart I. Campbell (Int. J. Digit. Curation, 2019)

Computational reproducibility of scientific workflows at extreme scales. - Line Pouchard; Sterling Baldwin; Todd Elsethagen; Shantenu Jha; Bibi Raju; Eric G. Stephan; Li Tang 007; Kerstin Kleese van Dam (Int. J. High Perform. Comput. Appl., 2019)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Christopher Kelly; Sungsoo Ha; Kevin A. Huck; Hubertus Van Dam; Line Pouchard; Gyorgy Matyasfalvi; Li Tang 007; Nicholas D'Imperio; Wei Xu 020; Shinjae Yoo; Kerstin Kleese van Dam (ISAV@SC, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Sungsoo Ha; Wonyong Jeong; Gyorgy Matyasfalvi; Cong Xie; Kevin A. Huck; Jong Youl Choi; Abid Malik; Li Tang 007; Hubertus Van Dam; Line Pouchard; Wei Xu 020; Shinjae Yoo; et al. (CoRR, 2020)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)