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Providing the source code and case settings for the simulations used in "Numerical Investigation of Regenerative Wind Farms Featuring Enhanced Vertical Energy Entrainment".####################################################### Source codeSource code for "flyingActuationDiskSource" is in the directory "src". Please compile it by executing the file "Allwmake". Version of the OpenFOAM used in this work is "OpenFOAM v2106". Note that in the file "./src/Make/files", token "yourPATH" should be changed to the path where one would like to store the .so file. For convenience, .so file is provided in directory "platform".## Case filesEach case is stored in separate directories. Names of the directories should be self explainable. Note that the file "system/controlDict" of each case also contain a token "yourPATH", which should be changed to where the .so file is stored.Notice: when decomposing the domain, make sure that all the actuator elements of one MRSL are included in a single processor. This should be done since while smearing the body force, an actuator element in a processor cannot spread the information to another processor, making some of the forces "missing".Notice: Not all the fields in "constant/fvOptions" are used. Some of them are completely useless and removable, while some of them should not be removed even they are not used (used in the constructor). Please check the source code for further details.## Case submitting"fullrunDiskActuator.sh" is an example of the job file used for this work.## Computing resources estimationA case took up about 80GB at most, and took around 48 hr on 144 cores when using "2x Intel Xeon E5-6248R 24C 3.0GHz" (computaional resources provided by Delft High Performance Computing Centre, https://doc.dhpc.tudelft.nl/delftblue/DHPC-hardware/).

Fashion products made from repurposed materials (e.g., backpacks made from pineapple leaves) have become more prevalent nowadays, and their environmental sustainability is one of the core advantages. Yet, it is currently unclear how consumers respond to products made from repurposed materials. We conducted three experiments to examine the effects of three material features, namely function, sustainability, and distinguishability, on consumer preferences for fashion products made from repurposed materials. The results indicate that, when the function of repurposed materials is as good as that of conventional materials, consumers prefer a product made from repurposed materials over the same product made from conventional materials. Also, consumers in general prefer repurposed materials to be less visually distinguishable. Finally, when the sustainability of the repurposed products is emphasized, consumers appear more likely to choose products made from repurposed materials, even when these products have an inferior function. In conclusion, to promote fashion products made from repurposed materials, marketers may emphasize the function and sustainability of repurposed materials, and producers may manufacture repurposed materials that visually resemble conventional materials.

Dataset for the manuscript "Promoting photocatalytic activity of NH2-MIL-125(Ti) for H2 evolution reaction through creation of TiIII and CoI based proton reduction sites".Dataset includes raw N2 sorption data (.aif format), PXRD data of (Co@)NH2-MIL-125(Ti), Co K-edge XANES spectrum of Co foil and transitional XAS (70-1140 usec) and EXAFS data for Co@NH2-MIL-125(Ti), and raw TEM images of the photocatalysts. These data was used for analysis and plotting the figures for the manuscript.

As part of global efforts to reduce dependence on carbon-based energy sources there has been a rapid increase in the installation of renewable energy devices. The installation and operation of these devices can result in conflicts with wildlife. In the marine environment, mammals may avoid wind farms that are under construction or operating. Such avoidance may lead to more time spent travelling or displacement from key habitats. A paucity of data on at-sea movements of marine mammals around wind farms limits our understanding of the nature of their potential impacts. Here, we present the results of a telemetry study on harbour seals Phoca vitulina in The Wash, south-east England, an area where wind farms are being constructed using impact pile driving. We investigated whether seals avoid wind farms during operation, construction in its entirety, or during piling activity. The study was carried out using historical telemetry data collected prior to any wind farm development and telemetry data collected in 2012 during the construction of one wind farm and the operation of another. Within an operational wind farm, there was a close-to-significant increase in seal usage compared to prior to wind farm development. However, the wind farm was at the edge of a large area of increased usage, so the presence of the wind farm was unlikely to be the cause. There was no significant displacement during construction as a whole. However, during piling, seal usage (abundance) was significantly reduced up to 25 km from the piling activity; within 25 km of the centre of the wind farm, there was a 19 to 83% (95% confidence intervals) decrease in usage compared to during breaks in piling, equating to a mean estimated displacement of 440 individuals. This amounts to significant displacement starting from predicted received levels of between 166 and 178 dB re 1 μPa(p-p). Displacement was limited to piling activity; within 2 h of cessation of pile driving, seals were distributed as per the non-piling scenario. Synthesis and applications. Our spatial and temporal quantification of avoidance of wind farms by harbour seals is critical to reduce uncertainty and increase robustness in environmental impact assessments of future developments. Specifically, the results will allow policymakers to produce industry guidance on the likelihood of displacement of seals in response to pile driving; the relationship between sound levels and avoidance rates; and the duration of any avoidance, thus allowing far more accurate environmental assessments to be carried out during the consenting process. Further, our results can be used to inform mitigation strategies in terms of both the sound levels likely to cause displacement and what temporal patterns of piling would minimize the magnitude of the energetic impacts of displacement. Wash_diagWash_diag.xlsx is the historic location data (pre windfarm construction) for the 19 individuals used in the analysis described in Russell et al.

Ecosystems’ responses to changing environmental conditions can be modulated by spatial self-organization. A prominent example of this can be found in drylands, where formation of vegetation patterns attenuates the magnitude of degradation events in response to decreasing rainfall. In model studies, the pattern wavelength responds to changing conditions, which is reflected by a rather gradual decline in biomass in response to decreasing rainfall. Although these models are spatially explicit, they have adopted a mean-field approach to grazing. By taking into account spatial variability when modelling grazing, we find that (over)grazing can lead to a dramatic shift in biomass, so that degradation occurs at rainfall rates that would otherwise still maintain a relatively productive ecosystem. Moreover, grazing increases the resilience of degraded ecosystem states. Consequently, restoration of degraded ecosystems could benefit from the introduction of temporary small-scale exclosures, to escape from the basin of attraction of degraded states. GNU Octave/MATLAB model implementationThis file can be used to compute model runs as in Figure 2 from the publication.extKAmNat.mModel RunsData from model runs in Figure 2 and 3. Each of the five variables, umatFigxxxx, corresponds to a panel in Figure 2 or 3. Use imagesc(umatFigxxxx(:,:,2)) to see the vegetation component (as in the panels) and deduce the correspondence, and imagesc(umatFigxxxx(:,:,1)) for the water component of the Klausmeier model.ModelRunsAmNat.mat

This repository is complementary material for storing and sharing the scientific data used in the article 'Precipitation Trends using Gridded Dynamic Sampling Zones: Case Study Yangtze Delta Megalopolis'. It includes: binarized landuse images in geotiff format, calculated time series of percentile statistics in csv format.

Flight trajectories of fruit flies and mosquitoes in a wind tunnel.This data file is a MySQL database file which must be uploaded to a MySQL database management system (DBMS) (e.g., via the MAMP installation: http://localhost:8888/MAMP/?language=English, as was used in the associated manuscript). Once you have installed a MySQL DBMS on your machine, make a new database called “wind_tunnel_db”. To populate this database using the data file, first download all of the data files and join them together using: cat wind_tunnel_db_* > wind_tunnel_db.sql Then run the following command to populate the wind_tunnel_db MySQL database with the result. /path/to/mysql -uroot -proot wind_tunnel_db < /path/to/wind_tunnel_db.sql replacing the paths and username/passwords as appropriate. It will take several minutes since it is a large file. The database contains several tables, which are mostly self explanatory. The key tables of interest are the “experiment” table, which lists the 4 experiments contained in this data set, the “timepoint” table, which contains the position, velocity, etc., of every fly/mosquito at every measured time point, and the “trajectory” table, which indicates which set of time points correspond to which individual trajectories. Other useful tables that have been pre-populated are the “crossing” table, which specifies trajectory segments corresponding to each plume crossing, and the “crossing_group” table, which groups sets of crossings together according to experiment and crossing identification criteria. The code that interacts with this database and recreates the figures in the associated manuscript is contained at https://github.com/rkp8000/wind_tunnel.wind_tunnel_db_aaPart 2wind_tunnel_db_abPart 3wind_tunnel_db_acPart 4wind_tunnel_db_adPart 5wind_tunnel_db_aePart 6wind_tunnel_db_afPart 7wind_tunnel_db_agPart 8wind_tunnel_db_ahPart 9wind_tunnel_db_aiInfotaxis databaseBase database for running infotaxis simulations. To see how to prepare and populate this database with simulated trajectory data, see the file _paper_auxiliary_code in the GitHub repository http://github.com/rkp8000/wind_tunnel.infotaxis_db.sql Natural decision-making often involves extended decision sequences in response to variable stimuli with complex structure. As an example, many animals follow odor plumes to locate food sources or mates, but turbulence breaks up the advected odor signal into intermittent filaments and puffs. This scenario provides an opportunity to ask how animals use sparse, instantaneous, and stochastic signal encounters to generate goal-oriented behavioral sequences. Here we examined the trajectories of flying fruit flies (Drosophila melanogaster) and mosquitoes (Aedes aegypti) navigating in controlled plumes of attractive odorants. While it is known that mean odor-triggered flight responses are dominated by upwind turns, individual responses are highly variable. We asked whether deviations from mean responses depended on specific features of odor encounters, and found that odor-triggered turns were slightly but significantly modulated by two features of odor encounters. First, encounters with higher concentrations triggered stronger upwind turns. Second, encounters occurring later in a sequence triggered weaker upwind turns. To contextualize the latter history dependence theoretically, we examined trajectories simulated from three normative tracking strategies. We found that neither a purely reactive strategy nor a strategy in which the tracker learned the plume centerline over time captured the observed history dependence. In contrast, “infotaxis”, in which flight decisions maximized expected information gain about source location, exhibited a history dependence aligned in sign with the data, though much larger in magnitude. These findings suggest that while true plume tracking is dominated by a reactive odor response it might also involve a history-dependent modulation of responses consistent with the accumulation of information about a source over multi-encounter timescales. This suggests that short-term memory processes modulating decision sequences may play a role in natural plume tracking.

This data publication contains the following unique geophysical logs, collected from the multi-purpose research borehole DAPGEO-02, between 228 and 428 meters depth:Nuclear Magnetic Resonance (NMR)Full Waveform Sonic (FWS)P- and S-wave velocity from PS suspension loggingDAPGEO-02 borehole is part of the seismic monitoring network of the geothermal research project on TU Delft Campus (www.tudelft.nl/geothermalwell). Well logs in this dataset are complementary to the Initial Borehole Dataset (https://doi.org/10.4121/21528819), and will become public two years after the end of the data collection date, alongside the corresponding scientific publication. Full description of the logs and their processing is in the DAPGEO-02 Drilling Report (https://doi.org/10.4233/uuid:fde70c00-cf65-4174-9cd3-89585a5e61bd).