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2,904 results for “Solute”
Ottawa climate data for building simulations with urban heat island effects and nature-based solutions
<p>As cities face rising temperatures, increased frequency of extreme weather events, and altered precipitation patterns, buildings are subjected to increasing energy demand, heat stress, thermal comfort issues, and decreased service life. Therefore, evaluating building performance under changing climate conditions is essential for building sustainable and resilient communities. Unique climate characteristics of cities, such as the urban heat island effect, are not well simulated by global or regional climate models, and is therefore often not included in typical building analyses. Consequently, a computationally efficient approach is used to generate “urbanized” climate data, derived from regional climate models, to prepare building simulation climate data that incorporate urban effects. We demonstrate this process using existing climate data for Ottawa airport’s weather station and extend it to prepare projections for scenarios where nature-based solutions, such as increased greenery and albedo, were implemented. We find significant improvements in the representation of the urban heat island and subsequent cooling effects of nature-based solutions in the urbanized climate data. This dataset allows building practitioners to evaluate building performance under historical and potential future changes in climate, considering the complex interactions within the urban canopy and the implementation of mitigation efforts such as nature-based solutions.</p> <p>This dataset contains hourly historical and future weather files for use in building simulations for the city of Ottawa, Canada. While similar weather files are usually based on measurements taken at a city's nearby airport, the current dataset utilizes a novel statistical-dynamical downscaling technique which involves the use of the dynamical Weather Research and Forecasting (WRF) model combined with a statistical approach and climate projections from an ensemble of 15 Canadian Regional Climate Model 4 (CanRCM4) to generate urban climate data which includes the effects of the urban heat island and different nature-based solutions (NBS) as mitigation strategies (such as increasing surface albedo and greenery). Additionally, different levels of implementation of these mitigation strategies were produced, for example, when the albedo is increased to 0.40 (ALBD40) and 0.80 (ALBD80), and similarly for the green and combined scenarios, GRN40, GRN80, COMB40, and COMB80. The URBAN scenario is considered the control case where the urban heat island effects are accounted for in the data, but the NBS scenarios are not yet implemtned. </p> <p>The data are stored in large CSV files, where the rows consists of all 15 realizations of the CanRCM4 ensemble and the variables make up the columns. For example, each 31-year period is repeated 15 times, once for each of the RCM realizations. Therefore, there are 4,073,400 (15x31x8760) rows in each file. We recommend viewing the data using packages from Python or R. </p> <p> </p> <p>The historical and future global warming thresholds and their corresponding time periods are as follows:</p> <table> <tbody> <tr> <td> <p><strong>Global Warming Scenario</strong></p> </td> <td> <p><strong>Time Period</strong></p> </td> </tr> <tr> <td> <p><strong>Historical</strong></p> </td> <td> <p>1991-2021</p> </td> </tr> <tr> <td> <p><strong>Global Warming 0.5ºC</strong></p> </td> <td> <p>2003-2033</p> </td> </tr> <tr> <td> <p><strong>Global Warming 1.0ºC</strong></p> </td> <td> <p>2014-2044</p> </td> </tr> <tr> <td> <p><strong>Global Warming 1.5ºC</strong></p> </td> <td> <p>2024-2054</p> </td> </tr> <tr> <td> <p><strong>Global Warming 2.0ºC</strong></p> </td> <td> <p>2034-2064</p> </td> </tr> <tr> <td> <p><strong>Global Warming 2.5ºC</strong></p> </td> <td> <p>2042-2072</p> </td> </tr> <tr> <td> <p><strong>Global Warming 3.0ºC</strong></p> </td> <td> <p>2051-2081</p> </td> </tr> <tr> <td> <p><strong>Global Warming 3.5ºC</strong></p> </td> <td> <p>2064-2094</p> </td> </tr> </tbody> </table> <p> </p> <p>The following variables are included in the files:</p> <table> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>RUN</strong></td> <td>Run number (R1-R15) of Canadian Regional Climate Model, CanRCM4 large ensemble associated with the selected reference year data</td> </tr> <tr> <td><strong>YEAR</strong></td> <td>Year associated with the record</td> </tr> <tr> <td><strong>MONTH</strong></td> <td>Month associated with the record</td> </tr> <tr> <td><strong>DAY</strong></td> <td>Day of the month associated with the record</td> </tr> <tr> <td><strong>HOUR</strong></td> <td>Hour associated with the record</td> </tr> <tr> <td><strong>YDAY</strong></td> <td>Day of the year associated with the record</td> </tr> <tr> <td><strong>DRI_kJPerM2</strong></td> <td>Direct horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>DHI_kJperM2</strong></td> <td>Diffused horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>DNI_kJperM2</strong></td> <td>Direct normal irradiance in kJ/m2 (total from previous HOUR to the <em>HOUR</em> indicated)</td> </tr> <tr> <td><strong>GHI_kJperM2</strong></td> <td>Global horizontal irradiance in kJ/m2 (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>TCC_Percent</strong></td> <td>Instantaneous total cloud cover at the HOUR in % (range: 0-100)</td> </tr> <tr> <td><strong>RAIN_Mm</strong></td> <td>Total rainfall in mm (total from previous HOUR to the HOUR indicated)</td> </tr> <tr> <td><strong>WDIR_ClockwiseDegFromNorth</strong></td> <td>Instantaneous wind direction at the HOUR in degrees (measured clockwise from the North)</td> </tr> <tr> <td><strong>WSP_MPerSec</strong></td> <td>Instantaneous wind speed at the HOUR in meters/sec</td> </tr> <tr> <td><strong>RHUM_Percent</strong></td> <td>Instantaneous relative humidity at the HOUR in %</td> </tr> <tr> <td><strong>TEMP_K</strong></td> <td>Instantaneous temperature at the HOUR in Kelvin</td> </tr> <tr> <td><strong>ATMPR_Pa</strong></td> <td>Instantaneous atmospheric pressure at the HOUR in Pascal</td> </tr> <tr> <td><strong>SnowC_Yes1No0 </strong></td> <td>Instantaneous snow-cover at the HOUR (1 - snow; 0 - no snow)</td> </tr> <tr> <td><strong>SNWD_Cm</strong></td> <td>Instantaneous snow depth at the HOUR in cm</td> </tr> </tbody> </table>
Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education
<p>Supplementary materials of the paper "Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education"</p>
Climate Hazards Data Integration and Visualization for the Climate Adaptations Solutions Accelerator through School-Community Hubs
<p><strong>Community engagement in planning is essential for effective and just climate adaptation. However, historically underserved communities are often difficult to reach through traditional means of soliciting public input. The Climate Adaptation Solutions Accelerator (CASA) through School-Community Hubs project identifies public schools as promising sites for building both community engagement and community capacity for climate adaptation. To serve in this role, schools need information about the intersecting threats climate change poses to the communities they serve. The Climate Hazard Dashboard for California Schools is a platform that maps the current and future risks associated with five climate hazards, including wildfire, extreme heat days, wildfire extreme precipitation, flooding, and sea level rise, for the nearly 10,000 public schools serving Kindergarten through Grade 12 students in California. Each hazard is mapped and visualized at the school level, providing an accessible way for administrators, teachers, students, and neighborhoods to explore data reflecting the climate hazards they face, at a scale relevant to their communities. The dashboard also provides an aggregate summary hazard metric. </strong></p>
VORTEX 01: Analytic solution of the flow, aeroacoustic source and acoustic field from a co-rotating vortex pair
<div>This aeroacoustic reference example (often referred in literature as "Co-rotating vortex pair") provides the analytic solution of the flow, aeroacoustic source and acoustic field. Details on the example and derivation can be found in the article "Analysis of the co-rotating vortex pair as a test case for computational aeroacoustics" on which the analytic functions are based on can be found here: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jsv.2024.118496" target="_blank" rel="noopener">10.1016/j.jsv.2024.118496</a>. The following Matlab functions can be used for computing the aero-acoustic radiation of a co-rotating vortex pair:</div> <div> </div> <div><strong>Main script:</strong></div> <div>compute_pfar - Computes the radiated acoustic field. Use the "method" variable to change the aeroacoustic model</div> <div> </div> <div><strong>Computing the source terms:</strong></div> <div>vpair_pic - Incompressible pressure field p_ic and Dp_ic / Dt at a given time instance</div> <div>vpair_u - Velocity field u, and its first and second spatial derivatives at a given time instance</div> <div> </div> <div>plot_source_terms - Create a plot of the source terms of both Lighthill and PCWE</div> <div>plot_quadrupole_field - Plots the analytical quadrupole field solution</div> <div> </div> <div><strong>Utility functions used by the main script:</strong></div> <div>gaussquad - Gauss-Legendre quadrature in 1D (original version from Mathworks FTP)</div> <div>subdiv_graded - Graded subdivision of one or more sections in 1D</div> <div>vpair_quadrature - Quadrature base points and weights for numerical convolution</div> <div> </div> <div><strong>Resource:</strong></div> <div>colormap.png - Blue -> Gray -> Red color scale</div> <div> </div> <div>All functions and scripts, except gaussquad.m were created by the authors:</div> <div>P. Rucz, M. Á. Ulveczki, J. Heinz, S. Schoder</div>
Data for publication "A unified surface tension model for multi-component salt, organic and surfactant solutions"
<p>This repository contains the data of the publication:</p> <p>Title: "A unified surface tension model for multi-component<br>salt, organic and surfactant solutions"<br>Authors: Judith Kleinheins, Claudia Marcolli, Cari Dutcher, Nadia Shardt<br>Date: 2024</p>
HYDROUSA solutions_Payback period datasets
<p>This report presents the payback periods estimated for the HYDROUSA exploitation scenarios. It is an extraction of non-confidential information from the Deliverable 8.10 ‘Business Plan for Exploitation issue #2’. The exploitation scenarios of HYDROUSA are based on the services provided for the end-users combining one or more technologies and promoting the circularity concept of HYDROUSA solutions as well as the non-conventional sources of water. They include the following: HYDRO1 (Circleflow): Resource recovery from wastewater treatment, HYDRO1&2 (HYDRO-Crop): Resource recovery from wastewater treatment together with irrigation/fertigation of an agroforestry system using the nutrient-rich reclaimed water, HYDRO3 (HYDROp3): Rainwater harvesting system and irrigation of high value crops with low irrigation requirements, HYDRO4 (Raincatch): Decentralised rainwater harvesting and aquifer storage and recovery system, HYDRO5 (MANGROVE Still): Seawater and brine desalination used to irrigate fruits in a greenhouse and HYDRO6 (HYDROLODGE): Closing water loops within eco-tourist facilities.<br>A separate annex is provided with the value used for estimating the payback periods for each scenario (CAPEX, OPEX, Revenues & savings). This report provides also an estimation of carbon sequestration/emissions reduction and job creation. A summary of all findings is given in the last chapter.</p>
Mapping shallow groundwater solute footprints in arid regions using a hydrologically enhanced species distribution model
<p>The topography-only SDM of shallow groundwater and deep groundwater, the final models-SDM maps of shallow groundwater, their improvements, the original dataset of water chemistry, and the related R script in the study are available here</p>
2,3:6,7‒Naphthalene bis(dicarboximide) Cyclophane: A Photo‒functional Host for Ambient Delayed Fluorescence in Solution
<p>Additional data to report <a href="https://doi.org/10.1002/anie.202411102">https://doi.org/10.1002/anie.202411102</a>:</p> <p><a name="_Hlk167963038"></a>Harvesting triplet excitons of heavy atom-free purely organic chromophores under aerated conditions is challenging due to the quenching of long-lived triplet states by molecular oxygen and vibrational dissipation. Herein, we show a supramolecular approach of triplet harvesting via mitigating quenching pathways of a triplet harvester. Specifically, we used a host–guest system based on <a name="_Hlk169085902"></a>2,3:6,7‒naphthalene bis(dicarboximide)-derived cyclophane (<strong>NBICy</strong>) and carbazole derivative (<strong>EtCz</strong>). Complexation studies and single-crystal X-ray analysis showed the formation of a rigid host–guest complex (<em>K</em> = ~10<sup>4</sup> M<sup>-1</sup> in CCl<sub>4</sub>), resulting in triplet-exciton stabilization under aerated conditions via mitigating vibrational interference and oxygen quenching. Photophysical studies elucidate the delayed fluorescence emission from the charge-transfer state (<sup>1</sup>CT) with a quantum yield (QY) of 6-8% under ambient conditions which increased up to 36 % in an inert atmosphere.</p>
Thermodynamics of alkali feldspar solid solutions with varying Al–Si order: atomistic simulations using a neural network potential - Accompanying Data
<p>This dataset accompanies the manuscript: "Thermodynamics of alkali feldspar solid solutions with varying Al–Si order: atomistic simulations using a neural network potential". It contains:</p> <ul> <li>LAMMPS-data files of the relaxed 8x6x8 systems for the three ordering types across Na-K composition, </li> <li>template input files for the minimization and for the semi grand canonical Monte Carlo + molecular dynamics simulation,</li> <li>the training and testing data with and without the point charge correction,</li> <li>the neural network potential committee and a modified n2p2 source that is necessary for running the special weighted atom centered symmetry functions. </li> </ul> <p>The algorithm to create the Al-Si and Na-K disorder is hosted on <a href="https://github.com/alexgorfer/Alkali-feldspar-disorder-generator">https://github.com/alexgorfer/Alkali-feldspar-disorder-generator</a> instead.</p>
Enhancing the Agricultural Efficiency of Welded Mesh Solutions
<p>Modern agriculture is critically dependent on productivity and efficiency. Farmers are perpetually in pursuit of innovative methods to optimize operations and augment productivity. One solution that is gaining popularity is welded mesh, a flexible material that offers numerous benefits in a variety of agricultural applications.</p> <h1>Agricultural Landscapes Welded mesh undergoes transformation.</h1> <p>Contemporary farming methods are revolutionized by the adaptability and efficacy of <a href="https://www.dukesmetal.com/meshes/" target="_blank" rel="noopener"><strong>welded mesh</strong></a> solutions in a variety of applications. Welded mesh offers unparalleled durability and adaptability, making it suitable for a wide range of applications, including perimeter fencing, animal enclosures, and agricultural protection. It is an excellent choice for ensuring sustainable farming practices and enhancing operational efficiency due to its adaptability to satisfy a variety of agricultural needs.</p> <p>The utilization of welded mesh in agriculture has significantly altered the methods of infrastructure development employed by farmers. The modular design of the farm enables it to rapidly adjust to evolving requirements due to its scalability and ease of installation. Whether used as trellises for vertical farming or to establish secure boundaries for cattle, welded mesh solutions provide a robust foundation that supports agricultural productivity and encourages optimal land use.</p> <h2>The Advantages of Utilizing Welded Mesh Systems</h2> <p>Farmers can derive numerous advantages from the implementation of welded mesh systems in order to optimize agricultural productivity. In addition to its structural strength and endurance, welded mesh enhances farm security, reduces labour expenses, and promotes environmentally friendly agricultural practices. These systems promote sustainable agriculture by optimizing agricultural yield through efficient land management and protection, while simultaneously reducing resource waste.</p> <p>Welded mesh systems provide benefits that extend beyond structural integrity for the purpose of enhancing farm management methods. By establishing secure boundaries and confinement areas, farmers mitigate the risks of wildlife encroachment and illicit entry. This proactive approach not only safeguards invaluable assets but also cultivates an environment that is conducive to sustainable agricultural practices. Moreover, the modular design of welded mesh systems enables the flexible application of these systems to a variety of agricultural applications, including modest family farms and substantial commercial operations.</p> <h2>An Innovative Producer of Perforated Metal That is Revolutionizing Agricultural Methods</h2> <p>Perforated metal, which is manufactured by industry leaders, is a critical factor in the evolution of agricultural techniques. It is a critical instrument for the construction of efficient fencing and enclosures due to its versatility and durability. Farmers may be guaranteed of low maintenance costs and long-term dependability due to its resistance to external factors.</p> <p>Perforated metal panels are meticulously crafted by specialized producers to withstand the severe conditions of agricultural settings. They provide robust barriers that effectively protect cattle and produce from external threats. The high-strength composition of these materials may provide farmers with the assurance of longevity and significant cost reductions in comparison to traditional fencing materials.</p> <h2>Benefits of Selecting a Reliable Steel Wire Supplier</h2> <p><a href="https://www.dukesmetal.com/product/wire-rope-and-cable/" target="_blank" rel="noopener"><strong>Steel wire supplier</strong></a> play a substantial role in the agricultural industry by providing the premium materials necessary for the production of welded mesh. Farmers can be confident that their products meet the highest quality standards due to their expertise in procurement and processing. These vendors enable the improvement of agricultural efficacy by offering a wide range of products, including intricate mesh designs for crop protection and durable fencing wires.</p> <p>It is imperative that producers seeking welded mesh solutions choose a reliable supplier of steel wire. These sources offer a wide range of wire varieties, including those that are flexible, corrosion-resistant, and strong, to accommodate specific agricultural requirements. Farmers are able to install durable fencing and enclosure systems that can withstand the test of time and environmental challenges due to their collaboration with perforated metal producers.</p>
Machine Learning Guided AQFEP: A Fast & Efficient Absolute Free Energy Perturbation Solution for Virtual Screening
<p>Data to reproduce primary figures in the manuscript titled: Machine Learning Guided AQFEP: A Fast & Efficient Absolute Free Energy Perturbation Solution for Virtual Screening.</p> <p>URL: https://chemrxiv.org/engage/chemrxiv/article-details/6583785e66c1381729ac86f5</p>
Participant responses - Enhancing Workplace Well-being through Digital Solutions
Open the record for dataset details and reuse information.
Apo USP5 zinc-finger ubiquitin binding domain structure solution 2018/03/30
<p>USP5 zinc-finger ubiquitin binding domain structure solution to 1.55 Å resolution</p>
Piece of CAKE: A Comprehensive Queue Management Solution for Home Gateways
<p>This is the evaluation dataset and online appendix for the paper "Piece of CAKE: A Comprehensive Queue Management Solution for Home Gateways".</p> <p>Also published at <a href="https://www.cs.kau.se/tohojo/cake/">https://www.cs.kau.se/tohojo/cake/</a></p>
Determination of secondary species in solution through pump-selective transient absorption spectroscopy and explicit-solvent TDDFT
<p>Explicit and implicit solvent TDDFT of alizarin and tautomers of alizarin in methanol. Transient electronic absorption spectroscopy of alizarin in methanol at different pH values. </p>
One-dimensional shallow flow solution data with uncertain topography
<p>Raw tabulated data generated by <a href="https://www.seamlesswave.com/">SEAMLESS-WAVE</a> stochastic models.</p>
Solution #4 for Predicting Molecular Properties Kaggle Competition
<p>Code and additional data for solution #4 in <a href="https://www.kaggle.com/c/champs-scalar-coupling/overview">Predicting Molecular Properties</a> competition, described in <a href="https://www.kaggle.com/c/champs-scalar-coupling/discussion/106534#latest-613848">#4 Solution [Hyperspatial Engineers]</a>.</p>
Instances and corresponding solutions for the ergonomic tow train loading problem (ETTLP)
<p>The set of instances and corresponding solutions, which were used in the computational study of the paper “Loading tow trains ergonomically for just-in-time part supply”.</p>
Non-spherical particles in optical tweezers: a numerical solution
<p>We present numerical methods for modeling the dynamics of arbitrarily shaped particles trapped within optical tweezers, which improve the predictive power of numerical simulations for practical use. We study the dependence of trapping on the shape and size of particles in a single continuous wave beam setup. We also consider the implications of different particle compositions, beam types and media. The major result of the study is that for different irregular particle shapes, a range of beam powers generally leads to trapping. The trapping power range depends on whether the particle can be characterized as elongated or flattened, and the range is also limited by Brownian forces.</p> <p>This dataset supplements the publication and contains inputs and processing scripts for usage of scadyn (https://www.github.com/jherrane/scadyn) software for solving dynamical response of arbitrarily shaped particles in electromagnetic fields. Also is contained the minimal dataset (per PLos ONE standards) to reproduce the results presented.</p>
Implementation of solution V1.0
<p>This report (deliverable) named D6.2 Implementation of solution is deliverable of WP6 within InterFlex H2020 (project co-founded by the European Commission). CEZ Distribuce as WP6 leader performing demonstration of innovative smart grid solutions in order to in-crease DER hosting capacity, integrate EV charging stations and home energy storage sys-tems more effectively and thus cover important challenges of European DSOs.<br> The use cases demonstration is performed under the coordination and management of CEZ Distribuce. Partners involved in the WP6 are Austrian Institute of Technology (AIT), CEZ Solarni, Fronius, Schneider Electric and Siemens.<br> As it is stated in GA in Description of Work (DoW), D6.2 Implementation of solution con-tains information about implementation process of all technical solutions of all use cases (UC1, UC2, UC3, UC4) which are described in deliverable D6.1 Design of solutions and also additional lab test results.<br> This report describes the implementation of solutions for WP6 that were implemented within the project and which are a prerequisite for the demonstration of all use cases. The implementation phase of the Czech Demo (WP6) is now finishing which allows successful demonstration of tested solutions.<br> After the demonstration and evaluation phase of the project, WP6 results will be reported in D6.3 Demonstration activities results (due date 12/2019). This final deliverable of WP6 will also contain KPIs evaluation and CBA and SRA of demonstrated solutions together with the regulatory framework update recommendations.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.