Connecting R to the Sensor Web. - Daniel Nüst; Christoph Stasch; Edzer J. Pebesma (AGILE Conf., 2011)

Semantically-Enabled Sensor Plug & Play for the Sensor Web. - Arne Bröring; Patrick Maué; Krzysztof Janowicz; Daniel Nüst; Christian Malewski (Sensors, 2011)

Sensor web and web processing standards for crisis management. - Simon Jirka; Daniel Nüst; Benjamin Proß (ISCRAM, 2013)

Descriptions of Spatial Operations - Recent Approaches and Community Feedback. - Barbara Hofer; Johannes Brauner; Mike Jackson 004; Carlos Granell; Armanda Rodrigues; Daniel Nüst; Stefan Wiemann (Int. J. Spatial Data Infrastructures Res., 2015)

Opening the Publication Process with Executable Research Compendia. - Daniel Nüst; Markus Konkol; Edzer J. Pebesma; Christian Kray; Marc Schutzeichel; Holger Przibytzin; Jörg Lorenz (D Lib Mag., 2017)

Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers. - Christian Knoth; Daniel Nüst (Remote. Sens., 2017)

How to Read a Research Compendium. - Daniel Nüst; Carl Boettiger; Ben Marwick (CoRR, 2018)

Reproducible Research is like riding a bike. - Carlos Granell; Daniel Nüst; Frank O. Ostermann; Rusne Sileryte (PeerJ Prepr., 2018)

Reproducible Research in Geoinformatics: Concepts, Challenges and Benefits (Vision Paper). - Christian Kray; Edzer J. Pebesma; Markus Konkol; Daniel Nüst (COSIT, 2019)

containerit: Generating Dockerfiles for reproducible research with R. - Daniel Nüst; Matthias Hinz (J. Open Source Softw., 2019)

Publishing computational research - A review of infrastructures for reproducible and transparent scholarly communication. - Markus Konkol; Daniel Nüst; Laura Goulier (CoRR, 2020)

The Rockerverse: Packages and Applications for Containerization with R. - Daniel Nüst; Dirk Eddelbuettel; Dom Bennett; Robrecht Cannoodt; Dav Clark; Gergely Daroczi; Mark Edmondson; Colin Fay; Ellis Hughes; Sean Lopp; Ben Marwick; Heather Nolis; et al. (CoRR, 2020)

The role of metadata in reproducible computational research. - Jeremy Leipzig; Daniel Nüst; Charles Tapley Hoyt; Stian Soiland-Reyes; Karthik Ram; Jane Greenberg (CoRR, 2020)

Ten simple rules for writing Dockerfiles for reproducible data science. - Daniel Nüst; Vanessa V. Sochat; Ben Marwick; Stephen J. Eglen; Tim Head; Tony Hirst; Benjamin D. Evans (PLoS Comput. Biol., 2020)

The Rockerverse: Packages and Applications for Containerisation with R. - Daniel Nüst; Dirk Eddelbuettel; Dom Bennett; Robrecht Cannoodt; Dav Clark; Gergely Daroczi; Mark Edmondson; Colin Fay; Ellis Hughes; Lars Kjeldgaard; Sean Lopp; Ben Marwick; et al. (R J., 2020)

Serverless GEO Labels for the Semantic Sensor Web. - Anika Graupner; Daniel Nüst (GIScience (I), 2021)

Reproducible Research and GIScience: An Evaluation Using GIScience Conference Papers. - Frank O. Ostermann; Daniel Nüst; Carlos Granell; Barbara Hofer; Markus Konkol (GIScience (II), 2021)

CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility. - Daniel Nüst; Stephen J. Eglen (F1000Research, 2021)

The role of metadata in reproducible computational research. - Jeremy Leipzig; Daniel Nüst; Charles Tapley Hoyt; Karthik Ram; Jane Greenberg (Patterns, 2021)

NFDI4Earth: Improving Research Data Management in the Earth System Sciences. - Lars Bernard; Christin Henzen; Auriol Degbelo; Daniel Nüst; Jörg Seegert (CoRDI, 2023)

Because Data Shall Grow (and we With it) Steps Towards a Cultural Change for Sharing Research Data. - Julia Rakers; Bernhard Miller; Julia Mohrbacher; Daniel Nüst; Torsten Schrade; Jörg Seegert; Christian Vater; Cord Wiljes; Holger Simon (CoRDI, 2023)

Enriching the scholarly metadata commons with citation metadata and spatio-temporal metadata to support responsible research assessment and research discovery. - Daniel Nüst; Gazi Yücel; Anette Cordts; Christian Hauschke (CoRR, 2023)