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D.Carbone, H. Garsden, H.Spreeuw, J.D. Swinbank, A.J. van der Horst, A. Rowlinson, J.W. Broderick, E. Rol, C. Law, R.A.M.J. Wijers. (2018). PySE: Software for extracting sources from radio images. Astronomy and Computing, 23, 92–102. https://doi.org/10.1016/j.ascom.2018.02.003

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Hamlin, T. A., Svatunek, D., Yu, S., Ridder, L., Infante, I., Visscher, L., & Bickelhaupt, F. M. (2018). Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions: Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions. European Journal of Organic Chemistry. https://doi.org/10.1002/ejoc.201800572

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Hartung, K., Svensson, G., Struthers, H., Deppenmeier, A.-L., & Hazeleger, W. (2018). An EC-Earth coupled atmosphere-ocean single-column model (AOSCM) for studying coupled marine and polar processes. Geoscientific Model Development Discussions, 1–35. https://doi.org/10.5194/gmd-2018-66

Heydarian, H., Schueder, F., Strauss, M. T., van Werkhoven, B., Fazel, M., Lidke, K. A., Rieger, B. (2018). Template-free 2D particle fusion in localization microscopy. Nature Methods. https://doi.org/10.1038/s41592-018-0136-6

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Kuzniar, A., Maassen, J., Verhoeven, S., Santuari, L., Shneider, C., Kloosterman, W., & Ridder, J. de. (2018). A portable and scalable workflow for detecting structural variants in whole-genome sequencing data. IEEE eScience 2018. Retrieved from https://www.escience2018.com/page/471839

Kuzniar, A., Maassen, J., Verhoeven, S., Shneider, C., Kloosterman, W., & de Ridder, J. (2018). sv-callers: a portable workflow for detecting structural variants in WGS data. Presented at the European Conference on Computational Biology, Athens, Greece. Retrieved from http://eccb18.org/

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Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology. https://doi.org/10.1007/s13239-018-00372-4

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Okkersen, K., Jimenez-Moreno, C., Wenninger, S., Daidj, F., Glennon, J., Cumming, S., Dittrich, J. (2018b). Cognitive behavioural therapy with optional graded exercise therapy in patients with severe fatigue with myotonic dystrophy type 1: a multicentre, single-blind, randomised trial. The Lancet Neurology, 17(8), 671–680. https://doi.org/10.1016/S1474-4422(18)30203-5

Ordelman, R., Martinez Ortiz, C., Melgar Estrada, L., Koolen, M., Blom, J., Melder, W., Inel, O. (2018). Challenges In Enabling Mixed Media Scholarly Research With Multi-Media Data In A Sustainable Infrastructure. Presented at the DH, Mexico City.

Ordelman, R., Melgar, L., Martinez-Ortiz, C., & Noordegraaf, J. (2018). Media Suite: Unlocking Archives for Mixed Media Scholarly Research. Presented at the CLARIN, Pisa, Italy.

Pelupessy, I., Van Werkhoven, B., Dijkstra, H., van Elteren, A., & Portegies Zwart, S. (2018, April). Development of the Oceanographic Multipurpose Software Environment. Conference Poster presented at the EGU 2018, Vienna. Retrieved from https://meetingorganizer.copernicus.org/EGU2018/EGU2018-19113.pdf

Portegies Zwart, S., Torres, S., Pelupessy, I., Bédorf, J., & Cai, M. X. (2018). The origin of interstellar asteroidal objects like 1I/2017 U1 ‘Oumuamua. Monthly Notices of the Royal Astronomical Society: Letters, 479(1), L17–L22. https://doi.org/10.1093/mnrasl/sly088

Ranguelova, E., Puwels, E., & Berkhout, J. (2018). Evaluating Layer-wise Relevance Propagation Explainability Maps for Artificial Neural Networks. Presented at the IEEE eScience, Amsterdam, The Netherlands.

Rasmijn L. M., van der Schrier G., Bintanja R., Barmeijer J., Sterl A., & Hazeleger W. (2018). Future equivalent of 2010 Russian heatwave intensified by weakening soil moisture constraints. Nature Climate Change, 8(5), 381–385. https://doi.org/10.1038/s41558-018-0114-0

Saladino, M. I., Pols, O. R., van der Helm, E., Pelupessy, I., & Zwart, S. P. (2018). Gone with the wind: the impact of wind mass transfer on the orbital evolution of AGB binary systems. Astronomy & Astrophysics. https://doi.org/10.1051/0004-6361/201832967

Sauer, S., Hagedoorn, B., Melgar, L., de Boer, V., Aroyo, L., & Martinez Ortiz, C. (2018). Linking data and disciplines: Exploring narratives through computational tools and interdisciplinary collaboration. Presented at the DHBenelux 2018.

Serna-Chavez, H., Kissling, W. D., Veen, L. E., Swenson, N. G., & van Bodegom, P. M. (2018). Spatial scale dependence of factors driving climate regulation services in the Americas. Global Ecology and Biogeography, 27(7), 828–838. https://doi.org/10.1111/geb.12743

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Spaaks, J. H., Klaver, T., Verhoeven, S., Maassen, J., Bakker, T., van der Ploeg, A., van Nieuwpoort, R. V. (2018). Painting The Picture Of Software Impact With The Research Software Directory. Presented at the 14th eScience IEEE International Conference, Amsterdam, The Netherlands. https://doi.org/10.5281/zenodo.1412293

Tjong Kim Sang, E., Esteve del Valle, M., Kruitbosch, H., & Broersma, M. (2018). Active Learning for Classifying Political Tweets. International Science and General Applications, 1(March), 60–67.

van den Berk, J., Drijfhout, S. S., & Hazeleger, W. (2018). Atlantic salinity budget in response to Northern and Southern Hemisphere ice sheet discharge. Climate Dynamics. https://doi.org/10.1007/s00382-018-4444-4

van der Schrier, G., Rasmijn, L. M., Barkmeijer, J., Sterl, A., & Hazeleger, W. (2018). The 2010 Pakistan floods in a future climate. Climatic Change, 148(1–2), 205–218. https://doi.org/10.1007/s10584-018-2173-7

van Hees, Vincent T, Sabia, S., Jones, S. E., Wood, A. R., Anderson, K. N., Kivimaki, M., Weedon, M. N. (2018). Estimating sleep parameters using an accelerometer without sleep diary. https://doi.org/10.1101/257972

van Hees, Vincent T., van Diessen, E., Sinke, M. R. T., Buitenhuis, J. W., van der Maas, F., Ridder, L., & Otte, W. M. (2018). Reliable and automatic epilepsy classification with affordable, consumer-grade electroencephalography in rural sub-Saharan Africa. https://doi.org/10.1101/324954

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van Nieuwpoort, R., van Leeuwen, J., Sclocco, A., Spreeuw, H., & Williams, C. (2018). Real-Time RFI Mitigation for LOFAR, Apertif and SKA. https://doi.org/10.23919/URSI-AT-RASC.2018.8471446

van Werkhoven, B., Hijma, P., Jacobs, C. J. H., Maassen, J., Geradts, Z. J. M. H., & Bal, H. E. (2018). A Jungle Computing approach to common image source identification in large collections of images. Digital Investigation. https://doi.org/10.1016/j.diin.2018.09.002


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Andry, O., Bintanja, R., & Hazeleger, W. (2017). Time-Dependent Variations in the Arctic’s Surface Albedo Feedback and the Link to Seasonality in Sea Ice. Journal of Climate, 30(1), 393–410. https://doi.org/10.1175/JCLI-D-15-0849.1

Broekema, P. C., Twelker, D. R., Romão, D. C., Grosso, P., van Nieuwpoort, R. V., & Bal, H. E. (2017). Software-defined networks in large-scale radio telescopes. In Proceedings of the Computing Frontiers Conference (pp. 263–266). Siena, Italy: ACM. https://doi.org/10.1145/3075564.3075594

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CLTL and Computer Science, Vrije Universiteit, Amsterdam, The Netherlands, Fokkens, A., Vossen, P., CLTL and Computer Science, Vrije Universiteit, Amsterdam, The Netherlands, Rospocher, M., Fondazione Bruno Kessler, Trento, Italy, Netherlands eScience Center, Amsterdam, The Netherlands. (2017). GRaSP: Grounded Representation and Source Perspective. In Proceedings of the Workshop Knowledge Resources for the Socio-Economic Sciences and Humanities (pp. 19–25). Incoma Ltd. Shoumen, Bulgaria. https://doi.org/10.26615/978-954-452-040-3_003

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Doherty, A., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., Wareham, N. J. (2017). Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLOS ONE, 12(2), e0169649. https://doi.org/10.1371/journal.pone.0169649

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Hut, R. W., van de Giesen, N. C., & Drost, N. (2017). Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel our: DO NOT REINVENT THE WATERWHEEL. Water Resources Research, 53(5), 4524–4526. https://doi.org/10.1002/2017WR020665

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Jiménez, R. C., Kuzak, M., Alhamdoosh, M., Barker, M., Batut, B., Borg, M., Crouch, S. (2017). Four simple recommendations to encourage best practices in research software. F1000Research, 6, 876. https://doi.org/10.12688/f1000research.11407.1

Knuth, A. G., Silva, I. C. M., van Hees, V. T., Cordeira, K., Matijasevich, A., Barros, A. J. D., Hallal, P. C. (2017). Objectively-measured physical activity in children is influenced by social indicators rather than biological lifecourse factors: Evidence from a Brazilian cohort. Preventive Medicine, 97, 40–44. https://doi.org/10.1016/j.ypmed.2016.12.051

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Maarten van Meersbergen, Janneke van der Zwaan, Willem van Hage, Piek Vossen, Antske Fokkens, Inger Leemans, & Isa Maks. (2017). Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations. In Proceedings of nlp meets journalism, Copenhagen, Denmark, 2017. Copenhagen. Retrieved from http://www.aclweb.org/anthology/W17-4207

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Martinez Ortiz, C., Ordelman, R., Koolen, M., Noordegraaf, J., Melgar, L., Aroyo, L., Poell, T. (2017). From Tools to “Recipes”: Building a Media Suite within the Dutch Digital Humanities Infrastructure CLARIAH. Presented at the DH Benelux. Retrieved from https://dhbenelux2017.eu/programme/sessions/wednessday-afternoon/

Martinez Rubi, O., Nex, F., Pierrot-Deseilligny, M., & Rupnik, E. (2017). Improving FOSS photogrammetric workflows for processing large image datasets. Open Geospatial Data, Software and Standards, 2(1), 12. https://doi.org/10.1186/s40965-017-0024-5

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Oostrum, L. C., van Leeuwen, J., Attema, J., van Cappellen, W., Connor, L., Hut, B., Verheijen, M. A. W. (2017). Detection of a bright burst from FRB 121102 with Apertif at the Westerbork Synthesis Radio Telescope. The Astronomer’s Telegram, 10693.

Ouwersloot, H. G., Moene, A. F., Attema, J. J., & de Arellano, J. V.-G. (2017). Large-Eddy Simulation Comparison of Neutral Flow Over a Canopy: Sensitivities to Physical and Numerical Conditions, and Similarity to Other Representations. Boundary-Layer Meteorology, 162(1), 71–89. https://doi.org/10.1007/s10546-016-0182-5

Pelupessy, I., van Werkhoven, B., van Elteren, A., Viebahn, J., Candy, A., Portegies Zwart, S., & Dijkstra, H. (2017). The Oceanographic Multipurpose Software Environment (OMUSE v1.0). Geoscientific Model Development, 10(8), 3167–3187. https://doi.org/10.5194/gmd-10-3167-2017

Ranguelova, E. (2017). Local Shape and Moment Invariant Descriptor for Structured Images. In Proceedings of the 19th IMVIP (pp. 245–248). Maynooth, Ireland.

Ranguelova, E., Kuffer, M., Pfeffer, K., Roy, D., & Lees, M. (2017). Image Based Classification of Slums, Built-up and Non-built-up Areas in Kalyan, India (p. 58). Presented at the 37th EARSeL Symposium: Smart Future with Remote Sensing, Prague, Czech Republic. Retrieved from http://symposium.earsel.org/37th-symposium-Prague/wp-content/uploads/2016/06/2017_EARSeL_abstract_book.pdf

Remenska, D., Tunnell, C., Aalbers, J., Verhoeven, S., Maassen, J., & Templon, J. (2017). Giving pandas ROOT to chew on: experiences with the XENON1T Dark Matter experiment. Journal of Physics: Conference Series, 898, 042003. https://doi.org/10.1088/1742-6596/898/4/042003

Ridder, L. (2017). MAGMa-Based Mass Spectrum Annotation in CASMI 2014. Current Metabolomics, 5(1), 18–24. https://doi.org/10.2174/2213235X04666160620100844

Ronda, R. J., Steeneveld, G. J., Heusinkveld, B. G., Attema, J. J., & Holtslag, A. A. M. (2017). Urban fine-scale forecasting reveals weather conditions with unprecedented detail. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-16-0297.1

Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., Bierkens, M. F. P. (2017). PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model. Geoscientific Model Development Discussions, 1–41. https://doi.org/10.5194/gmd-2017-288

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Tjong Kim Sang, E., Kruitbosch, H., Broersma, M., & Esteve del Valle, M. (2017). Determining the function of political tweets. In Proceedings of the 13th IEEE International Conference on eScience (eScience 2017) (pp. 438–439). Auckland, New Zealand: IEEE. https://doi.org/10.1109/eScience.2017.60

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van der Linden, E. C., Bintanja, R., & Hazeleger, W. (2017). Arctic decadal variability in a warming world: ARCTIC DECADAL VARIABILITY. Journal of Geophysical Research: Atmospheres, 122(11), 5677–5696. https://doi.org/10.1002/2016JD026058

van Hees, V. T. (2017). The importance of nuance in statements about methods for human energy expenditure estimation that use motion sensors. European Journal of Clinical Nutrition, 71(9), 1136–1137. https://doi.org/10.1038/ejcn.2017.65

van Hees, V. T., Sabia, S., Jones, S. E., Wood, A. R., Anderson, K., Trenell, M. I., Singh-Manoux, A. (2017). Assessment of sleep parameters from raw accelerometry data. In Sleep Medicine (Vol. 40, p. e333). https://doi.org/10.1016/j.sleep.2017.11.980

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Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., von Storch, J.-S. (2016). High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6. Geoscientific Model Development, 9(11), 4185–4208. https://doi.org/10.5194/gmd-9-4185-2016

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Krikken, F., Schmeits, M., Vlot, W., Guemas, V., & Hazeleger, W. (2016). Skill improvement of dynamical seasonal Arctic sea ice forecasts: Improved Arctic Sea Ice Forecasts. Geophysical Research Letters, 43(10), 5124–5132. https://doi.org/10.1002/2016GL068462

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Mizeranschi, A., Groen, D., Borgdorff, J., Hoekstra, A. G., Chopard, B., & Dubitzky, W. (2016). Anatomy and Physiology of Multiscale Modeling and Simulation in Systems Medicine. In U. Schmitz & O. Wolkenhauer (Eds.), Systems Medicine (Vol. 1386, pp. 375–404). New York, NY: Springer New York. https://doi.org/10.1007/978-1-4939-3283-2_17

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Rasmijn, L. M., van der Schrier, G., Barkmeijer, J., Sterl, A., & Hazeleger, W. (2016). Simulating the extreme 2013/2014 winter in a future climate: SIMULATING THE EXTREME 2013/2014 WINTER. Journal of Geophysical Research: Atmospheres, 121(10), 5680–5698. https://doi.org/10.1002/2015JD024492

Sclocco, A., van Leeuwen, J., Bal, H. E., & van Nieuwpoort, R. V. (2016). Real-time dedispersion for fast radio transient surveys, using auto tuning on many-core accelerators. Astronomy and Computing, 14, 1–7. https://doi.org/10.1016/j.ascom.2016.01.001

Shamoun-Baranes, J., Bouten, W., van Loon, E. E., Meijer, C., & Camphuysen, C. J. (2016). Flap or soar? How a flight generalist responds to its aerial environment. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1704), 20150395. https://doi.org/10.1098/rstb.2015.0395

Tian, Y., Özcan, F., Zou, T., Goncalves, R., & Pirahesh, H. (2016). Building a Hybrid Warehouse: Efficient Joins between Data Stored in HDFS and Enterprise Warehouse. ACM Transactions on Database Systems, 41(4), 1–38. https://doi.org/10.1145/2972950

van der Molen, B., Buitinck, L. J., & Pieters, T. (2016). The leveled approach. Using and evaluating text mining tools AVResearcherXL and Texcavator for historical research on public perceptions of drugs. Presented at the 2nd IFIP International Workshop on Computational History and Data-driven Humanities on 25 May 2016, Trinity College Dublin, Ireland.

van der Zwaan, J. M., van Meersbergen, M., Fokkens, A., ter Braake, S., Leemans, I., Kuijpers, E., Maks, I. (2016). Storyteller: Visualizing Perspectives in Digital Humanities Projects. In B. Bozic, G. Mendel-Gleason, C. Debruyne, & D. O’Sullivan (Eds.), Computational History and Data-Driven Humanities (Vol. 482, pp. 78–90). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-46224-0_8

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van Hees, V., Thaler-Kall, K., Wolf, K.-H., Brønd, J., Bonomi, A., Schulze, M., Horsch, A. (2016). Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry. Methods of Information in Medicine, 55(06), 525–532. https://doi.org/10.3414/ME15-05-0013

van Nieuwpoort, R. V. (2016). Towards exascale real-time RFI mitigation. In 2016 Radio Frequency Interference (RFI) (pp. 69–74). Socorro, NM, USA: IEEE. https://doi.org/10.1109/RFINT.2016.7833534


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Attema, J. J., Heusinkveld, B. G., Ronda, R. J., Steeneveld, G. J., & Holtslag, A. A. M. (2015). Summer in the City: Forecasting and Mapping Human Thermal Comfort in Urban Areas. In 2015 IEEE 11th International Conference on e-Science (pp. 243–248). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.21

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Buitinck, L., van Amerongen, J., Tan, E., & de Rijke, M. (2015). Multi-emotion Detection in User-Generated Reviews. In A. Hanbury, G. Kazai, A. Rauber, & N. Fuhr (Eds.), Advances in Information Retrieval (Vol. 9022, pp. 43–48). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-16354-3_5

Buschenhenke, F., van Dalen-Oskam, K., Martinez-Ortiz, C., & Koolen, M. (2015). Beyond the Book: globalization in literature from a digital perspective. Presented at the DH Benelux. Retrieved from http://dhbenelux.org/wp-content/uploads/2015/04/25.pdf

Cavelaars, M., Rousseau, J., Parlayan, C., de Ridder, S., Verburg, A., Ross, R., Verheul, H. (2015). OpenClinica. In Journal of Clinical Bioinformatics (Vol. 5, p. S2). https://doi.org/10.1186/2043-9113-5-S1-S2

Corti, S., Palmer, T., Balmaseda, M., Weisheimer, A., Drijfhout, S., Dunstone, N., Wouters, B. (2015). Impact of Initial Conditions versus External Forcing in Decadal Climate Predictions: A Sensitivity Experiment. Journal of Climate, 28(11), 4454–4470. https://doi.org/10.1175/JCLI-D-14-00671.1

D’Agostino, D., & Seinstra, F. J. (2015). A parallel isosurface extraction component for visualization pipelines executing on GPU clusters. Journal of Computational and Applied Mathematics, 273, 383–393. https://doi.org/10.1016/j.cam.2014.05.019

Eijssen, L., Evelo, C., Kok, R., Mons, B., Hooft, R., & and the other founding members of DTL Data (see Acknowledgements). (2015). The Dutch Techcentre for Life Sciences: Enabling data-intensive life science research in the Netherlands. F1000Research. https://doi.org/10.12688/f1000research.6009.2

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Goncalves, R., Ivanova, M., Alvanaki, F., Maassen, J., Kyzirakos, K., Martinez-Rubi, O., & Muhleisen, H. (2015). A Round Table for Multi-disciplinary Research on Geospatial and Climate Data (pp. 165–170). IEEE. https://doi.org/10.1109/eScience.2015.65

Haren, R. van, Haarsma, R. J., Vries, H. de, Oldenborgh, G. J. van, & Hazeleger, W. (2015). Resolution dependence of circulation forced future central European summer drying. Environmental Research Letters, 10(5), 055002. https://doi.org/10.1088/1748-9326/10/5/055002

Hazeleger, W., van den Hurk, B. J. J. M., Min, E., van Oldenborgh, G. J., Petersen, A. C., Stainforth, D. A., Smith, L. A. (2015). Tales of future weather. Nature Climate Change, 5(2), 107–113. https://doi.org/10.1038/nclimate2450

Hijma, P., van Nieuwpoort, R. V., Jacobs, C. J. H., & Bal, H. E. (2015). Stepwise-refinement for performance: a methodology for many-core programming: Stepwise-Refinement for Performance. Concurrency and Computation: Practice and Experience, 27(17), 4515–4554. https://doi.org/10.1002/cpe.3416

Hijma, Pieter, Jacobs, C. J. H., Nieuwpoort, R. V. van, & Bal, H. E. (2015). Cashmere: Heterogeneous Many-Core Computing. In 2015 IEEE International Parallel and Distributed Processing Symposium (pp. 135–145). Hyderabad, India: IEEE. https://doi.org/10.1109/IPDPS.2015.38

Krikken, F., & Hazeleger, W. (2015). Arctic Energy Budget in Relation to Sea Ice Variability on Monthly-to-Annual Time Scales. Journal of Climate, 28(16), 6335–6350. https://doi.org/10.1175/JCLI-D-15-0002.1

Locati, M. D., Terpstra, I., de Leeuw, W. C., Kuzak, M., Rauwerda, H., Ensink, W. A., Dekker, R. J. (2015). Improving small RNA-seq by using a synthetic spike-in set for size-range quality control together with a set for data normalization. Nucleic Acids Research, 43(14), e89–e89. https://doi.org/10.1093/nar/gkv303

Lusher, S. J., & Ritschel, T. (2015). Finding the right approach to big data-driven medicinal chemistry. Future Medicinal Chemistry, 7(10), 1213–1216. https://doi.org/10.4155/fmc.15.58

Martinez-Ortiz, C., Aroyo, L., Inel, O., Champilomatis, S., Dumitrache, A., & Timmermans, B. (2015). Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis (pp. 300–303). IEEE. https://doi.org/10.1109/eScience.2015.63

Martinez-Ortiz, C., Koolen, M., Buschenhenke, F., & Dalen-Oskam, K. van. (2015). Beyond the Book: Linking Books to Wikipedia. In 2015 IEEE 11th International Conference on e-Science (pp. 12–21). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.12

Martinez-Ortiz, Carlos, Buschenhenke, Floor, van Dalen-Oskam, Karina, & Koolen, Marijn. (2015). Predicting the international Appeal of novels. Presented at the Digitial Humanities Conference 2015, Sydney, Australia. Retrieved from http://dh2015.org/abstracts/xml/KOOLEN_Marijn_Predicting_the_International_Appeal/KOOLEN_Marijn_Predicting_the_International_Appeal/

Martinez-Rubi, O., van Oosterom, P., Gonçalves, R., Tijssen, T., Ivanova, M., Kersten, M. L., & Alvanaki, F. (2015). Benchmarking and improving point cloud data management in MonetDB. SIGSPATIAL Special, 6(2), 11–18. https://doi.org/10.1145/2744700.2744702

Martinez-Rubi, O., Verhoeven, S., van Meersbergen, M., Schutz, M., van Oosterom, P., Goncalves, R., & Tijssen, T. (2015). Taming the beast: Free and open-source massive point cloud web visualization. Presented at the Capturing Reality Forum, Salzburg, Austria: Zenodo. https://doi.org/10.5281/zenodo.1051101

Mihaleva, V. V., Ünlü, F. Y., Vervoort, J., & Ridder, L. (2015). Automated Annotation of Microbial and Human Flavonoid-Derived Metabolites. In S. Kochhar & F.-P. Martin (Eds.), Metabonomics and Gut Microbiota in Nutrition and Disease (pp. 109–124). London: Springer London. https://doi.org/10.1007/978-1-4471-6539-2_6

Sabia, S., Cogranne, P., van Hees, V. T., Bell, J. A., Elbaz, A., Kivimaki, M., & Singh-Manoux, A. (2015). Physical Activity and Adiposity Markers at Older Ages: Accelerometer Vs Questionnaire Data. Journal of the American Medical Directors Association, 16(5), 438.e7-438.e13. https://doi.org/10.1016/j.jamda.2015.01.086

Sclocco, A., Bal, H. E., & Nieuwpoort, R. V. van. (2015). Finding Pulsars in Real-Time. In 2015 IEEE 11th International Conference on e-Science (pp. 98–107). Munich, Germany: IEEE. https://doi.org/10.1109/eScience.2015.11

Sclocco, A., van Leeuwen, J., Bal, H. E., & van Nieuwpoort, R. V. (2015). A real-time radio transient pipeline for ARTS. In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (pp. 468–472). Orlando, FL, USA: IEEE. https://doi.org/10.1109/GlobalSIP.2015.7418239

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van Haren, R., Haarsma, R. J., Van Oldenborgh, G. J., & Hazeleger, W. (2015). Resolution Dependence of European Precipitation in a State-of-the-Art Atmospheric General Circulation Model. Journal of Climate, 28(13), 5134–5149. https://doi.org/10.1175/JCLI-D-14-00279.1

van Hees, V. T., Sabia, S., Anderson, K. N., Denton, S. J., Oliver, J., Catt, M., Singh-Manoux, A. (2015). A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLOS ONE, 10(11), e0142533. https://doi.org/10.1371/journal.pone.0142533

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Bintanja, R., Severijns, C., Haarsma, R., & Hazeleger, W. (2014a). The future of Antarctica’s surface winds simulated by a high-resolution global climate model: 1. Model description and validation: THE FUTURE OF ANTARCTICA’S SURFACE WINDS. Journal of Geophysical Research: Atmospheres, 119(12), 7136–7159. https://doi.org/10.1002/2013JD020847

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Brunnabend, S.-E., Dijkstra, H. A., Kliphuis, M. A., van Werkhoven, B., Bal, E., Seinstra, F., van Meersbergen, M. (2014a). Changes in extreme regional sea surface height due to an abrupt weakening of the Atlantic MOC. Ocean Science Discussions, 11(2), 1213–1241. https://doi.org/10.5194/osd-11-1213-2014

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da Silva, I. C., van Hees, V. T., Ramires, V. V., Knuth, A. G., Bielemann, R. M., Ekelund, U., Hallal, P. C. (2014). Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry. International Journal of Epidemiology, 43(6), 1959–1968. https://doi.org/10.1093/ije/dyu203

Hildebrand, M., Van Hees, V. T., Hansen, B. H., & Ekelund, U. (2014). Age Group Comparability of Raw Accelerometer Output from Wrist- and Hip-Worn Monitors: Medicine & Science in Sports & Exercise, 46(9), 1816–1824. https://doi.org/10.1249/MSS.0000000000000289

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