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1,163 results for “demonstration”
Demonstration of local adaptation in maize landraces by reciprocal transplantation
<p><span><span>Populations are locally adapted when they exhibit higher fitness than foreign populations in their native habitat. Maize landrace adaptations to highland and lowland conditions are of interest to researchers and breeders. To determine the prevalence and strength of local adaptation in maize landraces, we performed a reciprocal transplant experiment across an elevational gradient in Mexico. We grew 120 landraces, grouped into four populations (Mexican Highland, Mexican Lowland, South American Highland, South American Lowland), in Mexican highland and lowland common gardens and collected phenotypes relevant to fitness and known highland-adaptive traits such as anthocyanin pigmentation and macrohair density. 67k DArTseq markers were generated from field specimens to allow comparison between phenotypic patterns and population genetic structure.</span></span></p> <p><span><span>We found phenotypic patterns consistent with local adaptation, though these patterns differ between the Mexican and South American populations. Quantitative trait differentiation (Q<sub>ST</sub>) was greater than neutral allele frequency differentiation (F<sub>ST</sub>) for many traits, signaling directional selection between pairs of populations. All populations exhibited higher fitness metric values when grown at their native elevation, and Mexican landraces had higher fitness than South American landraces when grown in these Mexican sites. As environmental distance between landraces' native collection sites and common garden sites increased, fitness values dropped, suggesting landraces are adapted to environmental conditions at their natal sites. Correlations between fitness and anthocyanin pigmentation and macrohair traits are stronger in the highland site than the lowland site, supporting their status as highland-adaptive. These results give substance to the long-held presumption of local adaptation of New World maize landraces to elevation and other environmental variables across North and South America.</span></span></p>
H2020 Platone Italian Demonstrator Use Case 1-2 Topology and asset description
<p>Description of the database "areti_production_PV_customer_2021":</p> <p>Data of the PV plant installed at the users' place.</p> <p>Data referred to several customers related to the year 2021.</p> <p>In the database you will find:</p> <p>PoD: Point od Delivery of the users' place (PoD) identification code;<br> Rated Power (peak) [W]: photovoltaic plant rated power peak in W;<br> Rated Voltage [Vac]: photovoltaic plant rated voltage in V;<br> Supply Type (at PoD): supply voltage of plat where the PV plant is connected (1Ph: single-phase; 3Ph: three-phase).</p> <p>_________________________________<br> </p> <p>Description of the database "areti_storage_customer_2021":</p> <p>Data of storage system installed at the users' place.</p> <p>Data referred to several customers related to the year 2021.</p> <p>In the database you will find: </p> <p>PoD: Point od Delivery of the users' place (PoD) identification code;<br> Rated Power (charging) [kVA]: rated power in kVA of storage during charging phase;<br> Rated Power (discharging) [kVA]: rated power in kVA of storage during discharging phase;<br> Max Rated Power (charging) [kVA]: max rated power in kVA of storage during charging phase;<br> Max Rated Power (discharging) [kVA]: max rated power in kVA of storage during discharging phase;<br> Rated Voltage [V]: rated voltage in V of storage;<br> Supply Type: supply type (1Ph: single-phase);<br> Max capacity [kWh]: max capacity in kWh of storage;<br> DoD: Depth of Discharge of storage; <br> Setting Power Factor Range [p.u.]: range of settable power factor of storage;</p> <p>(Useful link to consult Italian UC:</p> <p><a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-1-voltage-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=ptAsS52VBberHmZqIzYEXZs1PQrXQ6TDz6mNK%2FNWnk0%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-1-voltage-management/</a></p> <p><a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsmart-grid-use-cases.github.io%2Fdocs%2Fusecases%2Fplatone%2Fuc-it-2-congestion-management%2F&data=04%7C01%7Cfabio.bastianelli%40mail-bip.com%7C0bb5a42aac0c49cb876708d9f2c89510%7Cbb1a63ebeb09471aa00537b07792a5b5%7C0%7C0%7C637807765572787908%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=xWNOqSeS5JxDoBEWZ4aB63gLmsnTA8YGGfCOoLjo1eo%3D&reserved=0">https://smart-grid-use-cases.github.io/docs/usecases/platone/uc-it-2-congestion-management/</a></p> <p><a href="https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf">https://platone-h2020.eu/data/deliverables/864300_M12_D1.1.pdf</a>)</p>
Demonstration of fault-tolerant universal quantum gate operations
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
Virtual Storage Plant (VSP) final demonstration of voltage control
<p>This the dataset of final demostration of using distributed control with consensus algorithm for voltage regulation using a virtual storage plant. The dataset contains raw data from 1 experiment for 1 HLU5-UC3 scenarios: TC_5.03.</p> <p>The experiments were conducted at the University of Zagreb's Smart Grid Laboratory (SGLab).</p>
Using GBIF to Demonstrate Colonial Legacies on Biodiversity Data
<p>Biologists recognize the Caribbean archipelago as a biodiversity hotspot and employ it for their research as a "natural laboratory", but do not always appreciate that these ecosystems are in fact palimpsests shaped by multiple human cultures over millennia. We discuss two case studies of the Caribbean's fragmented natural history collections, the effects of differing legislation and governance by the region's multiple nation states. We use digital natural history specimen data from GBIF to demonstrate how colonial history has influenced specimen collection patterns in Trinidad & Tobago, The Bahamas, and the Greater Antilles.</p>
Cohousing Waasland demonstrator data
<p>Data on the second-life PV plant at cohousing Waasland:</p> <p>- PV production<br> - Consumption<br> - Self-consumption<br> - Self-sufficiency<br> - Self-consumption vs self-sufficiency</p>
Monitoring data second-life battery Cloverleaf demonstrator Circusol
<p>This dataset includes monitoring data on the second-life battery system that was implemented in the Cloverleaf demonstrator in the context of Circusol.</p> <p>The following data are included:<br> - State of Health evolution<br> - Round trip Efficiency<br> - Typical day V I<br> - Typical day Vcell</p>
Virtual Storage Plant (VSP) final demonstration of congestion management
<p>This the dataset of final demostration of using distributed control with consensus algorithm for congestion management using a virtual storage plant. The dataset contains raw data from 1 experiment for 1 HLU5-UC4 scenarios: TC_5.04.</p> <p>The experiments were conducted at the University of Zagreb's Smart Grid Laboratory (SGLab).</p>
A video demonstrating a prototype tool for iStar modeling
<p>A video demonstrating a prototype tool for iStar modeling, additional material for the paper A tool-supported modeling process for improving iStar modeling practice based on empirical evidence.</p>
HealthyEnv: Uma ferramenta para auxílio na avaliação de repositórios de software (Demonstration video for SBES '22)
<p>Demonstration video for "HealthyEnv: Uma ferramenta para auxílio na avaliação de repositórios de software".</p>
Demonstration of computer assisted scholarly collation
<p>Demonstration of computer assisted scholarly collation, using the collation of General Prologue 488 in the Textual Communities interface. The software here used is a customization of the Collation Editor, written by Cat Smith of the Institute for Textual Scholarship and Electronic Editing at the University of Birmingham, with assistance from Troy Griffitts, itself an extension of the CollateX program, written by Ronald Dekkers and others.</p>
Dataset for the Manuscript: Demonstration of optically-driven plasmonic nanomotors designed by deep learning networks
<p>This repository contains the data corresponding to the manuscript "Demonstration of the optically-driven plasmonic nanomotor designed by deep learning networks." It consists of 5 parts: Machine learning, Numerical analysis, Rotation measurement, Scattering measurement, and Supplementary information. The code for the machine learning algorithm is available at "https://github.com/mintaechung/Nanomotor_Predictor_Generator."</p> <p> </p> <ul> <li><strong>'Machine_learning.zip'</strong>: Correlation between optical torques calculated by SIE and predicted by trained CNN, Objective loss functions at the 1st iteration, and the torque distribution of the initial randomset and the output of the nanorotor generator after the 3rd iteration.</li> <li><strong>'Numerical_analysis.zip'</strong>: MATLAB codes to retrieve 'Moments', 'Field intensity distribution', 'Poynting vectors', and 'Torques'. </li> <li><strong>'Rotation_measurement.zip'</strong>: Raw videos, Intensity profiles of ROI, Rotation measurement results.</li> <li><strong>'Scattering_measurement.zip'</strong>: Scattering intensity measurement with reference light.</li> <li><strong>'Supplementary_Info.zip'</strong>: Random geometry generation, Optical torques of 6 blades, Expanded structure, Shrinkage, Polarization independence, Angular momentum, and Machine learning progress.</li> </ul>
Realistic 3D avian vocal tract model demonstrates how shape affects sound filtering (Passer domesticus)
<p><span>Despite the complex geometry of songbird's vocal system, it was typically modelled as a tube or with simple mathematical parameters to investigate sound filtering. Here, we developed an adjustable computational acoustic model of a sparrow's upper vocal tract (<em>Passer domesticus</em>), derived from micro-CT scans. We discovered that a 20% tracheal shortening or a 20° beak gape increase caused the vocal tract harmonic resonance to shift towards higher pitch (11.7% or 8.8%, respectively), predominantly in the mid-range frequencies (3-6 kHz). The oropharyngeal-esophageal cavity (OEC), known for its role in sound filtering, was modelled as an adjustable 3D cylinder. For a constant OEC volume, an elongated cylinder induced a higher frequency shift than a wide cylinder (70% versus 37%). We found that the OEC volume adjustments can modify the OEC first harmonic resonance at low frequencies (1.5–3 kHz) and the OEC third harmonic resonance at higher frequencies (6-8 kHz). This work demonstrates the need to consider the realistic geometry of the vocal system to accurately quantify its effect on sound filtering and show that sparrows can tune the entire range of produced sound frequencies to their vocal system resonances, by controlling the vocal tract shape, especially through complex OEC volume adjustments.</span></p>
Demonstration of Android Jank when Fibonacci computation is done on main thread
<p>This video demonstrates Android Ui jank which occurs when heavy fibonacci computation is done on main thread</p>
Video demonstrating results of applying show view updates on Android Activity without Fibonacci Computation on the main thread
<p>Video demonstrating results of applying show view updates on Android Activity without Fibonacci Computation on the main thread</p>
Video demonstrating results of applying show view updates on Android Activity with Fibonacci Computation on the main thread
<p>Video demonstrating results of applying show view updates on Android Activity with Fibonacci Computation on the main thread</p>
Application demonstrating results of application of show view updates developer option on MainActivity with onBind Recyclerview call
<p>Results demonstrating results of application of show view updates developer option on MainActivity with onBind Recyclerview call</p>
Finite Element Model of the ISTAR Demonstrator Wing
<p>A Nastran Bulk Data Deck of a miniature wing is provided. The wing is a small-scale representation of the <a href="https://www.dlr.de/content/en/articles/aeronautics/research-fleet-infrastructure/dlr-research-aircraft/istar-dassault-falcon-2000lx-d-bdlr.html">DLR ISTAR research aircraft</a> wing. The model consists of quadrilateral CQUAD4 shell elements with multi-layer GFRP composite properties. It has been built using the DLR in-house software ModGen which enables the <a href="https://elib.dlr.de/105799/">parametric design and optimization of full aeroelastic analysis models</a>.</p> <p>The input ".bdf"-file was used in MSC Nastran version 2018.2 to generate the output files ".h5, .f06, .xdb". By default a normal modes analysis is conducted with the wing being clamped at the symmetry plane of the aircraft.</p> <p>https://www.dlr.de/en</p>
cldf-datasets/dryerorder: Dataset of Dryer 2018 "On the order of demonstrative, numeral, adjective, and noun"
<p><strong>Dryer, M.S. (2018). On the order of demonstrative, numeral, adjective, and noun. Language 94(4), 798-833. doi:10.1353/lan.2018.0054.</strong></p>
Exemplar Output to demonstrate FAIR Projection from a CSV file
<p>This is 1000 lines of sample data from UniProt that I will use to demonstrate the ability of FAIR Projection to dynamically project it out as RDF triples</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.