70 Works
Identify your affiliation with Metadata Schema 4.3
Robin Dasler & Madeleine de Smaele
The DataCite Metadata Schema is the basis for the metadata you submit to DataCite. It tells you the available fields and structure for your metadata records. Many of our members have told us that they’d really like to be able to include affiliation...
The Urbanisation of the Sea: From Concepts and Analysis to Design
Nancy Couling & Carola HeinDataCite to Dublin Core Mapping v4.4.
On the occasion of the release of v4.4 of the DataCite Metadata Schema its Metadata Working Group has updated the mapping to Dublin Core. This replaces the mapping in the Appendix of the DataCite-MetadataKernel v2.1. The mapping can be used to convert records described following version 4.4 of the DataCite Metadata Schema into records that comply with the Dublin Core Metadata Initiative Schema.
Additional file 5 of An engineered non-oxidative glycolytic bypass based on Calvin-cycle enzymes enables anaerobic co-fermentation of glucose and sorbitol by Saccharomyces cerevisiae
Aafke C. A. van Aalst, Robert Mans & Jack T. Pronk
Additional file 5: Table S1. Predicted ethanol yields on substrate, biomass-specific substrate-uptake rates (qsubstrate) and biomass yields on substrate for wild-type S. cerevisiae (WT) and strains with an engineered PRK-RuBisCO bypass of the oxidative reaction in glycolysis on both glucose and on sorbitol. Rates and yields were predicted for cultures growing at different specific growth rates, using an extended stoichiometric model of the core metabolic network of S. cerevisiae (1, 2). A Cmol biomass (CH1.8O0.5N0.2,...
An Overview of Interfaces for Automated Vehicles (inside/outside) (Deliverable D2.1 in the H2020 MSCA ITN project SHAPE-IT)
Natasha Merat, Yue Yang, Yee Mun Lee, Siri Hegna Berge, Nikol Figalova, Sarang Jokhio, Chen Peng, Naomi Mbelekani, Mohamed Nasser, Amna Pir Muhammad, Wilbert Tabone, Liu Yuan-Cheng, Martin Baumann & Jonas BärgmanTechnical Grey Literature at the Delft University of Technology Library
E.F. Gramsbergen
The Delft University of Technology Library (DUTL) plays an important role in the dissemination of GL among industry and research agencies in the Netherlands. Reports are obtained from approx. 150 organizations. Quality criteria have been developed for the further selection of this material. Growing market-awareness recently motivated a survey among major external (outside the Delft University of Technology) clients, regarding their information needs. The clear demand for report literature, which evident from the response, is...
LIBER 2021: The Evolving Scholar – rethinking publishing
Nicoleta NastasePorts and Waterways – Navigating the changing world
Mark van KoningsveldCharacterization and assessment of the mechanical properties of spruce foundation piles retrieved from bridges in Amsterdam
Giorgio Pagella, Geert Ravenshorst, Wolfgang Gard & Jan Willem van de KuilenHigh temperature aquifer thermal energy storage (HT-ATES) in combination with geothermal heat production on the TU Delft campus: feasibility study and next steps
Stijn Beernink , Martin Bloemendal , Phil Vardon , Auke Barnhoorn & Niels Hartog
One of the most important actions to limit climate change is to decrease worldwide CO2 emissions. A large contributor to worldwide CO2 emissions is the production of heat. Therefore, the recently started transition from fossil based fuels to renewable heat sources is of great importance. Renewable heat sources like geothermal and solar energy often exhibit a temporal mismatch between the availability and demand of heat. Excess heat is available in summer while the heat demand...
Additional file 2 of Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques
Jasmijn A. Baaijens, Alessandro Zulli, Isabel M. Ott, Ioanna Nika, Mart J. van der Lugt, Mary E. Petrone, Tara Alpert, Joseph R. Fauver, Chaney C. Kalinich, Chantal B. F. Vogels, Mallery I. Breban, Claire Duvallet, Kyle A. McElroy, Newsha Ghaeli, Maxim Imakaev, Malaika F. Mckenzie-Bennett, Keith Robison, Alex Plocik, Rebecca Schilling, Martha Pierson, Rebecca Littlefield, Michelle L. Spencer, Birgitte B. Simen, William P. Hanage, Nathan D. Grubaugh … & Michael Baym
Additional file 2. Review history.
Additional file 2 of Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques
Jasmijn A. Baaijens, Alessandro Zulli, Isabel M. Ott, Ioanna Nika, Mart J. van der Lugt, Mary E. Petrone, Tara Alpert, Joseph R. Fauver, Chaney C. Kalinich, Chantal B. F. Vogels, Mallery I. Breban, Claire Duvallet, Kyle A. McElroy, Newsha Ghaeli, Maxim Imakaev, Malaika F. Mckenzie-Bennett, Keith Robison, Alex Plocik, Rebecca Schilling, Martha Pierson, Rebecca Littlefield, Michelle L. Spencer, Birgitte B. Simen, William P. Hanage, Nathan D. Grubaugh … & Michael Baym
Additional file 2. Review history.
Additional file 12 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 12: Table S4. Targets and associated small molecules or growth factors for in vitro validation. The first row indicates the targets to be perturbed, [+] stands for activation while [-] stands for inhibition. The name (resp. cat number) of the small molecule or growth factor employed to achieve that effect is indicated in the row called ‘Molecule name’ (resp. ‘Cat n°’).
Additional file 14 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 14: Fig. S5. Illustration of the algorithm for the asynchronous updating of variables with a simplified (3 nodes) example network. The network represents interactions happening in one of the subnetworks (protein= fast reactions or genetic = slow reactions). Inhibitions are represented in red and activations are in black. The mathematical rules corresponding to the network are displayed. If the rules result in a value lower than 0 (resp. higher than 1), the value...
Additional file 2 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 2. Supplementary computational method. Equations, mathematical framework and justification of deviation from the general rule in the equations.
Additional file 2 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 2. Supplementary computational method. Equations, mathematical framework and justification of deviation from the general rule in the equations.
Additional file 11 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 11: Fig. S3. Screenshot of the user-friendly interface for the virtual chondrocytes App. The standalone Matlab-based applications can be launched and used without Matlab license, provided that the compiler Matlab Runtime is installed ( https://nl.mathworks.com/products/compiler/matlab-runtime.html ). The virtual chondrocyte initial state can be set as healthy or hypertrophic, allowing the user to test any scenarios. All the 60 components may be perturbed alone or in any sort of combination by forcing the variables...
Additional file 3 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis
Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 3: Table S2. List of variables and mouse genes correspondence. All mathematical variables and the corresponding node in the network have names written in upper cases and do not reflect the official human or mouse nomenclatures. To relate those variables to actual genes more easily, we provide this table of correspondence. A related mouse gene name and NCBI ID is indicated for each variable. Nevertheless, this is not exhaustive since some variables represent...
sj-docx-1-pec-10.1177_03010066221122697 - Supplemental material for How do people distribute their attention while observing The Night Watch?
Joost C. F. de Winter, Dimitra Dodou & Wilbert Tabone
Supplemental material, sj-docx-1-pec-10.1177_03010066221122697 for How do people distribute their attention while observing The Night Watch? by Joost C. F. de Winter, Dimitra Dodou, and Wilbert Tabone in Perception
The Story of the Bucky Lab
Marcel Bilow & Ulrich Knaack
A book about a university docent and one of his courses – why would you do that? And what is the academic impact?
The question of impact, especially as it relates to the rapidly developing culture of publications in scientific journals, should be the topic of a separate discussion. With all of the related advantages and disadvantages it could fill an entire book – however, not this one. And yes, buildings do impact the user,...
Print on demand by TU Delft OPEN Publishing
Justus de LeeuweSolid Earth applications of global gravity data: from submarines to satellites
Bart Root
Prof. Vening Meinesz opened up the oceans for high precision gravimetric observations. Today, his submarine adventures are an inspiration to my science and education in gravimetric research. We will follow him along his voyage aboard the K18, along which I will discuss several applications using global gravity field models. The theory of isostasy allows us the use the static gravity field to study GIA processes in Fennoscandia and North America. Also, observed crustal structure from...
Additional file 5 of An engineered non-oxidative glycolytic bypass based on Calvin-cycle enzymes enables anaerobic co-fermentation of glucose and sorbitol by Saccharomyces cerevisiae
Aafke C. A. van Aalst, Robert Mans & Jack T. Pronk
Additional file 5: Table S1. Predicted ethanol yields on substrate, biomass-specific substrate-uptake rates (qsubstrate) and biomass yields on substrate for wild-type S. cerevisiae (WT) and strains with an engineered PRK-RuBisCO bypass of the oxidative reaction in glycolysis on both glucose and on sorbitol. Rates and yields were predicted for cultures growing at different specific growth rates, using an extended stoichiometric model of the core metabolic network of S. cerevisiae (1, 2). A Cmol biomass (CH1.8O0.5N0.2,...
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