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671 results for “Window”
Development of strategy for combined smart ventilated window and PCM energy storage control for residential building energy saving
<p>The dataset includes the published data in the article Development of strategy for combined smart ventilated window and PCM energy storage control for residential building energy saving. For the details of the data description please refer to the paper.</p>
Experimental analysis of PCM heat exchanger in ventilated window system
<p>The dataset includes the published experimental data in the article Experimental analysis of PCM heat exchanger in ventilated window system. For the details of the data description please refer to the paper.</p> <p> </p>
Biochar Technologies at the Energy-Food nexus in sub-Saharan Africa: A unique window for Climate-Smart Agriculture
<p>Dataset to support the publication</p>
Mathematica code for "Delicate windows into evaporating black holes"
<p>We provide the Mathematica code to reproduce the numerical and analytical results presented in the paper "Delicate windows into evaporating black holes".</p>
Photovoltaic Windows to Offset the Intensive Energy and Carbon Footprints of Highly Glazed Buildings
<p>Data generated by extensive building energy simulations to determine the impact of next-generation glazing technologies.</p>
Stained Glass Window, Southwark Cathedral
More info: http://cathedral.southwark.anglican.org Source: Objaverse 1.0 / Sketchfab
Star Window
3D Scan from the Metropolitan Museum of Art in New York. Source: Objaverse 1.0 / Sketchfab
Ballinakill Window Moulding
Carved window moulding at Billinakill Source: Objaverse 1.0 / Sketchfab
Engle Window Painting
Source: Objaverse 1.0 / Sketchfab
Plot of overlapping windows of p-values from RPP in steps of .001.
<p>A modification of the plot of the proportion of p-values from https://github.com/VishnuSreekumar/</p> <p> </p> <p>Source code (including the animated plot): https://github.com/chatchavan/Alpha005</p>
Supplementary material 5 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Table S1: Total numbers of bird fatalities resulting from bird-window collisions on the campus of the Federal University of São Carlos, Sorocaba, Brazil, from August 2014 to March 2016. See Figures S1 and S2 for details. :
Supplementary material 4 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Figure S4. Birds fatalities after collision with windows in buildings on the campus of the Federal University of São Carlos, in Sorocaba, São Paulo, Brazil. A: Volatinia jacarina; B: Geotrygon montana; C: Pachyramphus validus; D: Zonotrichia capensis. :
Supplementary material 3 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Figure S3. Bird-of-prey decals (20 cm × 40 cm) applied to buildings on the campus of the Federal University of São Carlos, Sorocaba, São Paulo, Brazil. See text for details. :
Supplementary material 2 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Figure S2. Views from the buildings on the campus of the Federal University of São Carlos, in Sorocaba, São Paulo, Brazil. A: administrative building (GAD); B: clinic; C: university restaurant (RU); D: library; E: academic management (G.A); F: laboratories; G: lectures building (AT); H: classroom and laboratories (ATLAB); I: departments building (CCTS). :
Supplementary material 1 from: Brisque T, Campos-Silva LA, Piratelli AJ (2017) Relationship between bird-of-prey decals and bird-window collisions on a Brazilian university campus. Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e13729
Figure S1. Campus of the Federal University of São Carlos, Sorocaba, São Paulo, Brazil. A: administrative building (GAD); B: clinic; C: university restaurant; D: library; E: academic management; F: laboratories; G: lectures building; H: classroom and laboratories (ATLAB). Source: Google Earth. :
Tutorial: Sicherheitsausnahme für Internetprogramme Hinzufügen (Windows)
<p>In diesem Video zeigen wir dir, wie du eine Sicherheitsausnahme hinzufügst, um auf deinem Windows-Rechner ein aus dem Internet geladenes Programm zu starten. Im Video werden zwei mögliche Wege kurz aber Schritt-für-Schritt erklärt, sodass du sie ganz einfach nachvollziehen kannst. Da viele Programme der digitalen Geisteswissenschaften frei aus dem Internet heruntergeladen werden können, gehört das Hinzufügen von Sicherheitsausnahmen fast zu jedem Installationsprozess dieser Tools dazu.</p>
The postseismic GPS displacements at different time windows following the 2024 M7.5 Noto Peninsula, Japan Earthquake
<p>The postseismic GPS displacements at different time windows following the 2024 M7.5 Noto Peninsula, Japan Earthquake.</p> <p>This data is based on the GPS time series from Nevada Geodetic Laboratory (NGL <span>http://geodesy.unr.edu/ )</span>.</p> <p>The format of data is:</p> <p>Time, lon, lat, dn, de, du, sign, sige, sigu</p>
Results from simulation of Dynamic Precision Medicine 2-Window Trial
<p>Results from the simulation adapted from Beckman et al. PNAS 2012. For details see the preprint "A Generalized Evolutionary Classifier for Evolutionary Guided Precision Medicine" https://www.medrxiv.org/content/10.1101/2020.09.24.20201111v2</p> <p> </p> <p>The simualtion code that generated these results can be found at: https://github.com/GU-DPM/EvolutionaryClassifier</p> <p>------------------------------------------------------------------</p> <p>Annotations of simulation outcome files.</p> <p>Simulation outcomes are stored in multiple files.</p> <p>param_ALLDRUG_xxx.txt: parameter configuration values.<br>stopt_ALLDRUG_xxx.txt: survival times for each parameter configuration and each strategy.<br>dosage_ALLDRUG_xxx.txt: dosage combination sequences for each parameter configuration and each strategy.<br>pop_ALLDRUG_xxx.txt: population composition dynamics for each parameter configuration and each strategy.</p> <p>xxx denotes the index of the job when I ran simulations in my cluster. You can simply concatenate the files over all indices.</p> <p><br>param_ALLDRUG_xxx.txt format:</p> <p>Each line denotes a parameter configuration with the following entries:</p> <p>(1)parameter configuration index (one entry).<br>(2)initial population compositions x0 (four entries, x0(S), x0(R1), x0(R2), x0(R12)).<br>(3)growth rate g0 (one entry).<br>(4)drug sensitivity matrix Sa (eight entries, Sa(S,drug1), Sa(S,drug2), Sa(R1,drug1), Sa(R1,drug2), ...).<br>(5)transition rate matrix T (sixteen entries, T(S->S), T(S->R1), T(S->R2), T(S->R12), T(R1->S), T(R1->R1), T(R1->R2), T(R1->R12), ....</p> <p><br>stopt_ALLDRUG_xxx.txt format:</p> <p>Each line denotes the survival times (stopping times) of 10 strategies for each parameter configuration.</p> <p>strategy 0: strategy 0 in the PNAS paper.<br>strategy 1: strategy 2.2 in the PNAS paper.<br>strategy 2: strategy 2.2 in the PNAS paper for first two treatment decisions, followed by strategy 0 in the PNAS paper</p> <p>Each line has 11 entries: parameter configuration index and the survival times of the 10 strategies.</p> <p>The time horizon of the therapy is 1800 days. Each period is 45 days. If the patient is cured (the total tumor population = 0), then the survival time is reported as 1845 days. If the survival time is 1800 days, then the tumor population size is greater than 0 and smaller than the mortal level (1e13).</p> <p><br>dosage_ALLDRUG_xxx.txt format:</p> <p>Each line denotes the dosage combination sequence of each strategy for each parameter configuration.</p> <p>(1)parameter configuration index.<br>(2)strategy index (0-2).<br>(3)(drug1 dosage,drug2 dosage) at t=0.<br>(4)(drug1 dosage,drug2 dosage) at t=45.<br>...<br>(42)(drug1 dosage,drug2 dosage) at t=1755.</p> <p>If t exceeds the survival time of the strategy, then the drug dosage is set to -1.</p> <p><br>pop_ALLDRUG_xxx.txt format:</p> <p>Each line denotes the population composition dynamics of each strategy for each parameter configuration.</p> <p>(1)parameter configuration index.<br>(2)strategy index (0-9).<br>(3)(S,R1,R1,R12) population size at t=45.<br>(4)(S,R1,R1,R12) at t=90.<br>...<br>(42)(S,R1,R1,R12) at t=1800.</p> <p>If t exceeds the survival time of the strategy, then the population size is set to -1.</p> <p>Notice the dosage combination is reported at the beginning of each period, and the population composition is reported at the end of each period.</p> <p>When the best strategy over strategies 0-8 cures the patient and yields survival time 1800 days, I did not bother running strategy 9 (since it's time consuming). Thus the dosage combination and population composition should be ignored.</p> <p> </p>
Coordinates of all genome-wide windows containing CpGs
<p>Coordinates of all genome-wide windows containing CpGs</p>
Supplementary dataset for the paper "A time window averaging method to mitigate the impact of shell growth trends on Tridacna d18O records".
<p>Data and code for the paper "A time window averaging method to mitigate the impact of shell growth trends on Tridacna δ18O records". We have included an example in the pseudo-Tridacna package v2.1 to demonstrate how users can generate pseudo-Tridacna series.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.