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427 results for “Modularity”
Cranial modularity drives phenotypic diversification and adaptive radiation of Antarctic icefishes
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Data from: Modularity and selection of nectar traits in the evolution of the selfing syndrome in Ipomoea lacunosa (Convolvulaceae)
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Medieval Modular Asset Pack
A low-poly medieval asset pack featuring several wall panels, an archway, window, pillars and torches. Source: Objaverse 1.0 / Sketchfab
Modular Medieval Building
A simple modular setup for top down or medium quality fps game and projects. Its is low poly and I tried to keep the model and the texture sizes as tight as possible. Source: Objaverse 1.0 / Sketchfab
Module-based classification of OWL ontologies - Experiment 4 Dataset (Subsumption Test Hardness under Modularity)
<p>The results of Experiment 4 (Chapter 6) in PhD Thesis "Module-based classification of OWL ontologies", results of the survey exploring subsumption test under modularity. Contains only the final data tables and the analysis scripts (not the raw data and intermediate states).</p>
A modular set of synthetic spectral energy distributions for young stellar objects - Robitaille (2017) - v1.1
<p>These are the models released with the following publication:</p> <p><em>A modular set of synthetic spectral energy distributions for young stellar objects</em>, Robitaille (2017)</p> <p>A companion repository is available on GitHub:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models</p> <p>In particular, a notebook is provided, demonstrating how the models here can be used:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models/blob/master/notebook/using_the_models.ipynb</p> <p><strong>Note:</strong> the files here do not include polarization results, nor do they include the SEDs split by components (e.g. scattered versus direct light). The raw Hyperion output files which contain this information will be made available at a later date, and a link will be provided here.</p> <p>For <strong>announcements</strong> of new versions of these models, you can subscribe to the following mailing list:</p> <p>https://groups.google.com/forum/#!forum/protostars</p> <p>For <strong>questions or issues</strong> using these models, you can open a GitHub issue in the companion repository:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models/issues/new</p> <p><strong>MacOS X users:</strong> there is a bug in the bundled version of tar in MacOS X that causes issues when expanding some of the largest files here (this results in the <em>flux.fits</em> file being empty). To avoid this, you can use the GNU tar version which can be installed e.g. with Homebrew using <em>brew install gnu-tar</em> then using the <em>gtar</em> command instead of <em>tar</em>.</p>
On the Effect of Semantically Enriched Context Models on Software Modularization
<p>The dataset used for evaluating the approaches outlined in this paper, comprising of 10 open source Java projects. The algorithms employed can be found at https://github.com/amirms/GeLaToLab, </p>
Data for "Modular Bibliographical Profiling of Historic Book Reviews"
<p>This dataset supports the research paper, ""Modular Bibliographical Profiling of Historic Book Reviews." The paper examines different methods of predicting bibliographical details (e.g. author, title, and publisher) of books under review in a corpus of approximately 1,100 historical book reviews. The dataset is comprised of book reviews from ProQuest's American Periodicals Series (APS). This kind of bibliographical profiling is often characterized as a Natural Language Processing (NLP) or Named Entity Recognition (NER) task, but it can be more specifically described as a two-part Named Entity Linking (NEL) task, beginning with a feature extraction stage followed by one of several available matching or classification methods. An attempt has been made to formalize constraints for modular bibliographical profiling (MBP) and shed light on some important choices that are often glossed over or obscured by digital humanities (DH) practitioners. Applying these constraints, the paper evaluates combinations of feature selection (naive bag-of-words [BOW], rule-based feature extraction, and NER using a pre-trained model) with a standardized similarity-based matching strategy (cosine similarity). All tasks are performed on derived text data (term frequency tables), so that data can be shared and all methods can be used on materials available only in non-consumptive formats. These comparisons suggest that naive BOW can perform quite robustly, and that using even a basic pretrained NER model in conjunction with a BOW approach may reduce false positives. </p>
Modular Components for synthesizing Robotic Arms with CLS-CAD
<p>A set of modular components as Autodesk Fusion 360 files suitable for synthesizing robotic arms with CLS-CAD (https://github.com/tudo-seal/CLS-CAD). The files contain the type information required for synthesis as well as the necessary taxonomy. </p><p>To use these files or reproduce results, please follow the instructions available at https://github.com/tudo-seal/CLS-CAD in the "Getting Started" Section.</p>
Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data: intermediate results
<p>This directory contains all intermediate results generated in the "Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data" for reproducibility purpose. Associated scripts are available at https://github.com/JiayuSuPKU/Smoother_paper. Raw and processed data can be downloaded at https://zenodo.org/records/10223862.</p><p>Note that some intermediate results and figures in the notebooks may not be exactly the same as those in the paper due to the randomness in some analysis steps, but should be very close.</p>
Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data: raw and processed data files
<p>This directory contains all spatial and single-cell omics datasets analyzed in the "Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data". Associated scripts are available at https://github.com/JiayuSuPKU/Smoother_paper. See https://github.com/JiayuSuPKU/Smoother_paper/blob/main/data/README.md for details on folder structure and data sources.</p>
Antique Collums Modular
3 sets of modular antique collums Modeled in Autodesk Maya Textured in Substance Painter Source: Objaverse 1.0 / Sketchfab
Medieval city wall assets - low poly Modular
Subscribe | Follow BUKKBEEK for Blender3D low-poly tutorials and time-lapse videos. YouTube: https://www.youtube.com/channel/UCp3wzRCZOJfsQw_mS0_LA0g Facebook: https://www.facebook.com/bukkbeek Instagram: https://www.instagram.com/bukkbeek Watch my portfolio at ArtStation: https://www.artstation.com/bukkbeek DM or visit my Fiverr for customized low-poly game assets Fiverr: https://www.fiverr.com/bukkbeek Low-poly CITY PACK (FBX): https://sketchfab.com/3d-models/low-poly-city-asset-pack-mega-v10-ab2105dc5b5648d7a867479a55f3c254 Visit Itch.io: https://bukkbeek.itch.io/ *********** Material color palette: https://drive.google.com/file/d/1joZpz4YGyFoepTldOAXIIOZDHwyTUtWp/view #blender #blender3d #lowpoly #lowpolyart #3dfordesigners #3ddesigner #3dart #3dmodeling #gameart #concept #conceptart #gameasset #gamedevelopment #game #car #vehicle #truck #trucks #collection #house #building #collection #nature #tree Source: Objaverse 1.0 / Sketchfab
Modular Test | Version 3
This is just an update to the Old West Barber Shop. For this attempt I am trying to build the scene with modular pieces. Source: Objaverse 1.0 / Sketchfab
Mechanistic interactions as the origin of modularity in biological networks
<p>Biological networks are often modular. Explanations for this peculiarity either assume an adaptive advantage of a modular design such as higher robustness, or attribute it to neutral factors such as constraints underlying network assembly. Interestingly, most insights on the origin of modularity stem from models in which interactions are either determined by highly simplistic mechanisms or have no mechanistic basis at all. Yet, empirical knowledge suggests that biological interactions are often mediated by complex structural or behavioural traits. Here, we investigate the origins of modularity using a model in which interactions are determined by potentially complex traits. Specifically, we model system elements - such as the species in an ecosystem - as finite-state machines (FSMs) and determine their interactions by means of communication between the corresponding FSMs. Using this model, we show that modularity likely emerges for free. We further find that the more modular an interaction network is, the less complex are the traits that mediate the interactions. Altogether, our results suggest that the conditions for modularity to evolve may be much broader than previously thought.</p>
Raw data and supporting files for "Modular comparison of untargeted metabolomics processing steps"
<p>Raw data and supporting files for the Paper titled "Modular comparison of untargeted metabolomics processing steps". The dataset encompasses 42 samples, with 3 solvent blanks, 7 QC samples, and 32 biological samples (4 biological replicates: Banane, Bergrose, Narbe, Ricky) spiked with 42 compounds in different concentrations (0 ngmL, 30 ngmL, 100 ngmL, 300 ngmL). The files were uploaded in the vendor format (.raw) and in the open format (.mzML). Also, further supporting data for the processing results was uploaded as well.</p>
Evolutionary modularity, integration and disparity in an accretionary skeleton: Analysis of venerid Bivalvia
<p><span><span><span><span><span><span><span><span><span><span><span>Modular evolution, the relatively independent evolution of body parts, may promote high morphological disparity in a clade. Conversely, integrated evolution via the stronger covariation of parts may limit disparity. However, integration can also promote high disparity by channeling morphological evolution along lines of least resistance—a process that may be particularly important in the accumulation of disparity among organisms with accretionary growth, as in many invertebrate systems. We use a time-calibrated phylogenetic hypothesis and high-density, 3D semilandmarking to analyze the relationship between modularity, integration, and disparity in the most diverse extant bivalve family: the Veneridae. In general, venerids have a simple, two-module parcellation of body features that is divided into features of the calcium carbonate shell and features of the internal soft anatomy. This division falls more along developmental than functional lines when placed in the context of bivalve evolutionary-development and biomechanics. While the venerid body is tightly integrated in absolute terms, increasing modularity strength among subclades and ecologies appears to correlate with increasing disparity, indicating that shifts towards more mosaic evolution beget higher morphologic variance in this speciose family.</span></span></span></span></span></span></span></span></span></span></span></p>
MIntO: a Modular and Scalable Pipeline for Microbiome Metagenomic and Metatranscriptomic Meta-omics Data Integration
<p>To illustrate the use of MIntO, a set of 91 human fecal metagenomes from the Inflammatory Bowel Disease Multi’omics Database was selected (IBDMDB). We selected six participants diagnosed as non-IBD (P6018 (nIBD1), M2072 (nIBD2)); Crohn’s disease (H4006 (CD1) and H4020 (CD2)); and ulcerative colitis (H4019 (UC1) and H4035 (UC2)) that were followed for one year each. </p> <p>Here, we present the results from the <em>genome-based assembly-dependent</em> mode, where we used 91 metagenomic high-quality reads<strong> </strong>to recover 163 high-quality MAGs, which constituted a set of non-redundant genomes.</p>
Data from: Kinematic trajectories in response to speed perturbations in walking suggest modular task-level control of leg angle and length
Abstract Navigating complex terrains requires dynamic interactions between the substrate, musculoskeletal and sensorimotor systems. Current perturbation studies have mostly used visible terrain height perturbations, which do not allow us to distinguish among the neuromechanical contributions of feedforward control, feedback-mediated and mechanical perturbation responses. Here, we use treadmill belt speed perturbations to induce a targeted perturbation to foot speed only, and without terrain-induced changes in joint posture and leg loading at stance onset. Based on previous studies suggesting a proximo-distal gradient in neuromechanical control, we hypothesized that distal joints would exhibit larger changes in joint kinematics, compared to proximal joints. Additionally, we expected birds to use feedforward strategies to increase the intrinsic stability of gait. To test these hypotheses, seven adult guinea fowl were video recorded while walking on a motorized treadmill, during both steady and perturbed trials. Perturbations consisted of repeated exposures to a deceleration and acceleration of the treadmill belt speed. Surprisingly, we found that joint angular trajectories and center of mass fluctuations remain very similar, despite substantial perturbation of foot velocity by the treadmill belt. Hip joint angular trajectories exhibit the largest changes, with the birds adopting a slightly more flexed position across all perturbed strides. Additionally, we observed increased stride duration across all strides, consistent with feedforward changes in the control strategy. The speed perturbations mainly influenced the timing of stance and swing, with the largest kinematic changes in the strides directly following a deceleration. Our findings do not support the general hypothesis of a proximo-distal gradient in joint control, as distal joint kinematics remain largely unchanged. Instead, we find that leg angular trajectory and the timing of stance and swing are most sensitive to this specific perturbation, and leg length actuation remains largely unchanged. Our results are consistent with modular task-level control of leg length and leg angle actuation, with different neuromechanical control and perturbation sensitivity in each actuation mode. Distal joints appear to be sensitive to changes in vertical loading but not foot fore-aft velocity. Future directions should include in vivo studies of muscle activation and force-length dynamics to provide more direct evidence of the sensorimotor control strategies for stability in response to belt speed perturbations.
Integrated modular Avionics - IMA by GMV
<p>This is an Cleansky2 Ubbick (Utility Building Blocks for Cockpit) project dissemination Action, done in 23th July 2018, presented in the Farnborough International Air Show 2018, ShowCentre, ETPS Road Farnborough, Hampshire,UK. Author José Neves(jose.neves@gmv.com). Title: "Integrated modular Avionics - IMA by GMV". This video features the GMV IMA products like SIMA, Arinc 664 Emulator, A664 Configurator and an overview of the development of XKY, a novel DO-178C DAL-A, safety critical, real time, partitioned operating system, developed under UBBICK project.</p>
ScienceDex guides
Understand access before you commit
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.