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175 results for “GRAPHICS”
ClimEmpower: Graphic summaries of CoPs' key points
<p>Comprehensive visual representations of key findings from initial CoP meetings across ClimEmpower's regions. It includes the main insights and conclusions structured around eight categories: "hazard identification", "ttols and services", "expectations", "needs and solutions", "gaps and barriers", "previous experiences", "contributins" and "other comments".</p>
EJPSOIL - SoilX graphics
<p>SoilX graphics illustrate the differences between conventional and sustainable soil management practices. <span><span>Sustainable</span> <span>soil management practices include</span></span><span> </span></p> <div> <div> <ul> <li> <p><span><span>diversified crop rotations,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> </div> <div> <div> <ul> <li> <p><span><span>cover cropping,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>organic amendments,</span></span><span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>residue incorporation, and</span></span> <span><span> </span></span><span> </span></p> </li> </ul> </div> <div> <ul> <li> <p><span><span>reduced tillage.</span></span></p> </li> </ul> <p><span>The project hypothesis is that under sustainable management, agricultural soils are expected to accumlate more soil organic carbon and to develop</span><span><span> more favorable soil structure.</span></span></p> </div> </div>
Graphic Illustration of Rick White's Talk: Preventing the next viral pandemic via elucidation of mammalian reservoirs
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Rick White at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Graphic Illustration of Cody Thompson's Talk: A Museum Perspective Preserve a Voucher Specimen! Tools for Pandemic Preparedness
<p><a href="https://lib.ku.edu/people/courtney-foat" target="_blank" rel="noopener">Courtney Foat</a>, Advisor for Strategic Initiatives & Organizational Engagement at the University of Kansas, graphically recorded this invited talk by Cody Thompson at an NSF-supported Workshop: Digital Collections Data and Tracking Disease.</p>
Accelerate the Parameterization of Unified Microphysics Across Scales (PUMAS) on the graphics processing unit (GPU) with directive-based methods
<p>Code used to produce results of paper titled "Accelerate the Parameterization of Unified Microphysics Across Scales (PUMAS) on the graphics processing unit (GPU) with directive-based methods" by Sun et al.</p> <p>Includes:</p> <p>- Source code of CAM to perform a CPU or GPU simulation</p> <p>- Source code of PUMAS stand-alone kernel for GPU porting (OpenACC and OpenMP offload), an example batch script for build/run on Casper (NCAR's cluster) and the input dataset</p> <p>- Dataset to reproduce the figures in the paper</p> <p> </p> <p>Contact details: Jian Sun (sunjian@ucar.edu)</p>
MODELING.VIS: Video Tutorial and Instructions to use the Graphical User Interface Toolbox
<p>INTRODUCTION: MODeLING.Vis was designed as an attempt to perform interactive data analyses. Given the software's effectiveness in extracting valuable information from the experimental data presented in this study, the applied methods and principles have been presented together with the analysis of results, and the code has been shared. Note, however, that MODeLING.Vis is not commercial, which constrains efforts behind scientific investigations.</p> <p>HYPOTHESIS: For a better understanding of the Graphical User Interface Toolbox, a demo and user manual of the toolbox should be provided for the convenience of users. The electrophoretic dataset should be published together with the tutorial for ease of access. </p> <p>METHODOLOGY: Creation of a practical video tutorial demonstrating how to download, install, run and operate MODeLING.Vis. Direct access to the electrophoretic dataset (protLabled.xls) is provided. </p>
Supplementary materials to: "SilicH2O: a graphical user interface for processing silicate glass Raman spectra and quantifying H2O"
<p>The dataset contains:</p> <ul> <li>supplementary text and figures as a single pdf</li> <li>Raman and compositional data in two separate excel files</li> </ul> <p> </p>
TauBench: A Dynamic Benchmark for Graphics Rendering (Dataset)
<p>TauBench is a dynamic graphics rendering benchmark dataset, targeted especially towards rendering methods relying on the reuse of temporal data. Path traced reference frames for the dataset are available at <a href="https://zenodo.org/record/7907164">https://zenodo.org/record/7907164</a>.</p> <p>The related conference paper (describing TauBench 1.0) is available at <a href="https://zenodo.org/record/6223036">https://zenodo.org/record/6223036</a>. More information about the 1.1 update and about the dataset in general can be found at <a href="https://webpages.tuni.fi/vga/taubench">https://webpages.tuni.fi/vga/taubench</a>.</p>
Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP
<p>Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP. Data are from Danish student teachers. Contains the following variables:</p> <p>i1 through i10 are the items from the PSSFP. Response scale is 0 = Never, 1 = Almost Never, 2 = Sometimes, 3 = Fairly Often, 4 = Very Often. Items 4, 5, 7 and 8 are reversed.</p> <p>P_level (level of latest field practice placement): 1 = level I, 2 = level II, 3 = level III</p> <p>T_Progr (teacher education program): 1 = regular, 2 = other</p> <p>Campus: 1 = campus A, 2 = campus B</p> <p>Gender: 1 = female, 2 = male</p> <p>Age: 1 = 25 years and younger, 2 = 26 years and older</p>
Differences in Muscle Activity Patterns and Graphical Product Quality in Children With Graphomotor Impairment
ClinicalTrials.gov study NCT02501590. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Predictive Executive Functioning Models Using Interactive Tangible-Graphical Interface Devices
ClinicalTrials.gov study NCT01711372. IPD Sharing: NO. Countries: 1. Publications: 1.
Doppler Reflectometry Graphical Demonstration Movie with IPF-FD3D
<p>Doppler reflectometry is a microwave scattering diagnostic for measuring wavenumber resolved density fluctuation strengths in plasmas. Especially in fusion plasmas, turbulence is an ever-present phenomenon.</p> <p>This movie illustrates the scattering processes involved in building a wavenumber spectrum from scattering at different wavenumbers. For artistic purposes, the wave packets are much shorter than in a real application, where is would be quasi-continuous. The probing wave is emitted at different angles, which satisfies a different wavenumber matching condition each time.</p> <p>The finite difference time domain code IPF-FD3D was used to calculate the wave field inside the plasma.</p> <p>Reference: Lechte C, Conway G D, Görler T, Tröster C and the ASDEX Upgrade Team 2017 Plasma Phys. Contr. Fusion 59 075006</p> <p> </p>
A graphical null model for scaling biodiversity-ecosystem functioning relationships
1. Global biodiversity is declining at rates faster than at any other point in human history. Experimental manipulations at small spatial scales have demonstrated that communities with fewer species consistently produce less biomass than higher diversity communities. Understanding how the global extinction crisis is likely to impact global ecosystem functioning requires applying these local experimental results at substantially larger spatial and temporal scales. 2. Here we propose a null model for scaling biodiversity-ecosystem functioning relationships using observed macroecological patterns. We use species-area and biomass-area curves to predict species richness – biomass relationships at multiple scales and validate these predictions with data from a Minnesota grassland and a Panamanian tropical dry forest. 3. Our null model accurately predicts species richness-biomass relationships across scales from these species-area and biomass-area relationships. However, we note two important caveats that will increase our ability to apply experimentally collected data to the global scale problem of species loss. First when ecosystem functioning is measured as per unit area (e.g., biomass m-2), as is common in biodiversity-ecosystem functioning experiments, the slope of the biodiversity ecosystem functioning relationship should decrease with increasing scale. Alternatively, when ecosystem functioning is not measured per unit area (e.g., summed total biomass), as is common in scaling studies, the slope of the biodiversity-ecosystem functioning relationship should increase with increasing spatial scale. Second, the underlying macroecological patterns of biodiversity experiments are predictably different from some naturally assembled systems. For example, in non-successional naturally assembled ecosystem, biomass is unlikely to change directionally through time. Biodiversity-ecosystem functioning experiments, however, often start from bare ground and biomass increases through time. From these underlying patterns, we would predict that the slope of the biodiversity-productivity relationship in a naturally assembled system not undergoing succession would decrease with increasing time. Alternatively, in an experiment we would predict an increase over time. 4. This paper provides a simple but novel null hypothesis for scaling any relationship between biodiversity and any ecosystem function in space and time. These predictions provide crucial insights into how and when we can extend results from small scale biodiversity experiments to naturally assembled regional and global ecosystems.
Computer Graphics Animations of Mondrian Spaces
<p><strong>CG visualisations of Mondrian’s interior design</strong></p> <p>(A) ‘Salon’, without rectangle outlines as in Mondrian’s original drawings</p> <p>(B) Model of a Mondrian-like cylindrical ‘Salon</p> <p>(C) Video of illusory rotating of ‘Reverspective’ Mondrian space</p>
Supplementary material to `Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of MPTRAC v2.6'
<p>This repository contains the supplementary material to the following paper: Hoffmann, L., Haghighi Mood, K., Herten, A., Hrywniak, M., Kraus, J., Clemens, J., and Liu, M., Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of MPTRAC v2.6, Geoscientific Model Development, submitted, 2023.</p>
Figs 1 - 3. The three graphic representation s in Audiospectrographical analysis of cicada sound production: a catalogue (Hemiptera, Cicadidae)
Figs 1 - 3. The three graphic representation s of sound: the calling song of the PalaearcticspeciesCicadaon i Linnaeus 1758, 1: oscillogram (amplitude vs time). 2: spectrogram or sonagram (frequenc y vs time). 3: spectrum (amplitude vs frequency). Sound analysis software: SYNTANA T. Aubin CNRS U A 149 1 (Aubin 1994).
F I G U R E 1 in Tool use by the graphic tuskfish Choerodon graphicus
F I G U R E 1 (a) Choerodon graphicus (larger fish on right) chases two scrounger fish Chaetodon auriga at a feeding station (first anvil). (b), (c) Choerodon graphicus striking a bivalve on a rock (first anvil) and (d) striking the same (fractured) bivalve on a coral head (second anvil)
F I G U R E 2 in Tool use by the graphic tuskfish Choerodon graphicus
F I G U R E 2 When searching for prey, Choerodon graphicus (a) tosses coral pieces and shells aside using the mouth, (b) flips larger coral pieces over using its mouth, (c) tosses sand to the side using the mouth and (d) fans sand with one pectoral fin T A B L E 1 Number of anvils used, distance between anvils, number of strikes, number of scrounger fishes and outcome for observations of Choerodon graphicus tool use in water depths of 0–3 m, Îlot Maître, New Caledonia
CENTRINNO_Material Flow Analyses Graphics
<p>A collection of Material Flow Analyses diagrams produced during the CENTRINNO Project.</p>
Example Dataset for the Paper "lavaangui: A Web-Based Graphical Interface for Specifying lavaan Models by Drawing Path Diagrams"
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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.