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6,452 results for “Application”
Dataset for "Diurnal, seasonal, and interannual variations in δ(18O) of atmospheric O2 and its application to evaluate natural/anthropogenic changes in oxygen, carbon, and water cycles" by Ishidoya et al.
<p>The dataset used in the paper "Diurnal, seasonal, and interannual variations in δ(18O) of atmospheric O2 and its application to evaluate natural/anthropogenic changes in oxygen, carbon, and water cycles" by Ishidoya et al. The doi of the preprint of the paper is https://doi.org/10.5194/egusphere-2024-654. The dataset contains the diurnal cycles of delta_atm(18O), delta(O2/N2), y(CO2), and delta(Ar/N2) at Tsukuba, Japan averaged for the period 2013-2022 ("data_for_Fig4.csv"), the rolling average values of delta_atm(18O) and delta(O2/N2) anomalies for 300 data at TKB during August and February, 2017 ("data_for_Fig6.csv"), and the monthly mean values of delta_atm(18O) and the delta(O2/N2) at TKB for the period 2013-2022("data_for_Fig7.csv"). The raw data before averaging are also presented ("raw_data_2013.csv" to "raw_data_2022.csv"). See text of Ishidoya et al. in more details. </p> <p> </p>
Data and software for "Metal Pad Sensing: exploiting the electrical double layer to improve resistance-based microfluidic cell tracking, with applications to label-free mechanophenotyping"
<p>Data and software for "Metal Pad Sensing: exploiting the electrical double layer to improve resistance-based microfluidic cell tracking, with applications to label-free mechanophenotyping"</p>
Development of an FKBP12-recruiting Chemical-Induced Proximity DNA-Encoded Library and its application in the discovery of an autophagy potentiator
<p><strong>Chemical inducers of proximity (CIPs) are molecules that recruit one protein to another and introduce new functionalities toward modulating protein states and activities. While CIP-mediated recruitment of E3 ligases is widely exploited for the development of degraders, other therapeutic modalities remain underexplored. We describe the first non-degrader CIP-DNA-Encoded Library (CIP-DEL) that recruits FKBP12 to target proteins using non-traditional acyclic structures, with an emphasis on introducing stereochemically-diverse and rigid connectors to attach the combinatorial library. We deployed this strategy to modulate ATG16L1 T300A, which confers genetic susceptibility to Crohn’s disease, and identified a compound that stabilizes the variant protein against Caspase-3 cleavage in a FKBP12-independent manner. We demonstrate in cellular models that this compound potentiates autophagy, reverses the xenophagy defects, and increases cytokine secretion characteristic of ATG16L1 T300A. This study provides a platform to access new chemical space for CIP design to achieve novel therapeutic modalities guided by human genetics.</strong></p>
CNN-Driven DBMS Estimation from Aeromagnetic Data and Applications in Southern Peninsular India
<p>Datasets for the manuscript titled </p> <pre><span>CNN-trained </span><span>centroid</span><span> method for estimating Depth to the Bottom of the Magnetic Sources (DBMS) and its application to the south Indian shield</span></pre>
Simulation for the calibration of radiation housekeeping monitor onboard BepiColombo/MMO and application to the inner heliosphere exploration
<p>I appreciate your interest in this paper.</p> <p>These archived data are used for Kinoshita et al., (2024).</p> <p>If you have further questions about these data, please feel free to contact me.</p> <p>E-mail: g-kinoshita20686@g.ecc.u-tokyo.ac.jp</p> <p> </p> <p>Sincerely,</p> <p>Gaku Kinoshita</p>
CARA: Benchmarking Compound Activity Prediction for Real-World Drug Discovery Applications
<p>Identifying active compounds for target proteins is fundamental in early drug discovery. Recently, data-driven computational methods have demonstrated promising potential in predicting compound activities. However, there lacks a well-designed benchmark to comprehensively evaluate these methods from a practical perspective. To fill this gap, we propose a benchmark, named CARA.Through carefully distinguishing assay types, designing train-test splitting schemes and selecting evaluation metrics, CARA can consider the biased distribution of current real-world compound activity data and avoid overestimation of model performances. We observed that current models can make successful predictions for certain proportions of assays, while the performances varied across different assays. In addition, evaluation of several few-shot training strategies demonstrated different performances related to task types. Overall, we provide a high-quality dataset for developing and evaluating compound activity prediction models, and the analyses in this work may inspire better applications of data-driven models in drug discovery.</p>
Modeling Protein Conformations by Guiding AlphaFold2 with Distance Distributions. Application to Double Electron Electron Resonance (DEER) Spectroscopy.
<p>We describe a modified version of AlphaFold2 that incorporates experiential distance distributions into the network architecture for protein structure prediction. Harnessing the OpenFold platform, we fine-tuned AlphaFold2 on a small number of structurally dissimilar proteins to explicitly model distance distributions between spin labels determined from Double Electron-Electron Resonance (DEER) spectroscopy. We demonstrate the performance of the modified AlphaFold2, referred to as DEERFold, in switching the predicted conformations guided by experimental or simulated distance distributions. Remarkably, the intrinsic performance of AlphaFold2 substantially reduces the number and the accuracy of the widths of the distributions needed to drive conformational selection thereby increasing the experimental throughput. The blueprint of DEERFold can be generalized to other experimental methods where distance constraints can be represented by distributions. </p>
Application Case 3: Data sets consisting of 3D scans, 3D model and the derived metadata, from two different software programs
<p>In this repository we provide 3D scan projects and the 3D models processed from them with their metadata using the example of a wood sample. The metadata was generated using our metadata generation script, which is described in the referenced publication.</p> <p>The 3D scan projects were created in different software (atos v6.2, atos 2016 and zeiss 2023). For each there is a scan project, a 3D model and the generated metadata with and without uri in this repository.</p> <p>The publication in which this application case is included: Homburg, T., Cramer, A., Raddatz, L. <em>et al.</em> Metadata schema and ontology for capturing and processing of 3D cultural heritage objects. <em>Herit Sci</em> <strong>9</strong>, 91 (2021). <a href="https://doi.org/10.1186/s40494-021-00561-w">https://doi.org/10.1186/s40494-021-00561-w</a></p> <p>Python scripts for exporting metadata can be found here: <a href="https://github.com/i3mainz/3dcap-md-gen/tree/0.1.3">GitHub - i3mainz/3dcap-md-gen</a></p>
Potential of chickpea flours with different microstructures as multifunctional ingredient in an instant soup application
<p>The data used for the graphs in the paper: Noordraven LEC, Kim H-J, Hoogland H, Grauwet T, Van Loey AM. Potential of Chickpea Flours with Different Microstructures as Multifunctional Ingredient in an Instant Soup Application. <em>Foods</em>. 2021; 10(11):2622. https://doi.org/10.3390/foods10112622.</p>
Raw data for the application of temperature and light intensity as intermittency sensors in a temporary pond in Jamaica
<p>Data provided represent the raw data collected for the paper on the application of temperature and light intensity as intermittency sensors in a temporary pond in Jamaica.</p>
Replication Package for: A Configurable Method for Benchmarking Scalability of Cloud-Native Applications
<p>This repository contains a replication package and experimental results for our study <em>A Configurable Method for Benchmarking Scalability of Cloud-Native Applications</em>.</p> <p>It provides benchmark execution files for repeating our experiments as well as the collected data from our experiments and Jupyter notebooks for reproducing our analysis.</p> <p>Instructions for repeating our experiments and reproducing our analysis can be found in the Readme.md file.</p>
RePAST dataset of digital game application in classroom
<p>RePAST dataset of digital game application in classroom</p>
The Regional Coupled Suite (RCS): application of a flexible regional coupled modelling framework to the Indian region at km-scale
<p>Supporting data for figures in GMD draft paper: The Regional Coupled Suite (RCS): application of a flexible regional coupled modelling framework to the Indian region at km-scale.</p>
Evaluation Dataset: SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation
<p>Evaluation dataset for the paper "SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation", presented at the AAAI-Make conference 2022, to be published in: <em>A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, F. van Harmelen (Eds.), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21–23, 2022.</em></p>
Database of initial survival of three pine species after antitranspirant application
<p>Raw data from the Revista Mexicana de Ciencias Forestales paper: "Initial survival of three pine species after antitranspirant application" Revista Mexicana de Ciencias Forestales <strong>2022</strong> 13(69): 176-199. doi:<a href="http://dx.doi.org/10.3390/f9020071">10.29298/rmcf.v13i69.1145.</a></p> <p>The database corresponds to seedlings of three Mexican pines: <em>P. cooperi, P. durangensis</em> and <em>P. engelmannii</em>, that were treated with three antitranspirant products (Vapor Gard, Fitoglass, and Ecofilm) and two application methods (spraying and immersion). Survival data and root neck diameter were measured.</p>
Intention d'abandonner ses études chez les étudiants et Covid-19 : une application de la théorie du comportement planifié
<p>Cette base de données est issue d’une enquête quantitative par questionnaire (nombre d’observations = 415, période : mars 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable finale que le modèle cherche à expliquer (la variable dépendante) est l’intention d’abandonner ses études chez les étudiants. Elle inclut la mesure des conditions de vie durant la pandémie du Covid-19 (17 items).</p>
Data from: Predicting habitat suitability and connectivity for management and conservation of urban wildlife: A real-time web application for grassland water voles
<ol> <li>Natural habitats in urban areas provide benefits for both humans and biodiversity. However, to achieve biodiversity gains we require new techniques to determine habitat suitability and ecological connectivity that will inform urban planning and development.</li> <li>Using an example of an urban population of water voles (<i>Arvicola amphibius</i>) we developed a habitat suitability model and a resistance-surface-based model of landscape connectivity to identify potential connectivity between areas of suitable habitat. We then updated the environmental variables according to new urban development plans and used our models to generate spatially explicit predictions of both habitat suitability and connectivity.</li> <li>To make models accessible to urban and conservation planners we developed an interactive mapping tool that provided users with a graphical user interface (GUI) to inform conservation planning for this species.</li> <li>The model found that habitat suitability for water voles was related to distance from key environmental variables, such as built-up areas and urban green spaces, while the connectivity model identified important corridors connecting areas of potential distribution for this species.</li> <li>Future development plans altered the potential spatial distribution of the water vole population, reducing the extent of suitable habitat in some core areas. The interactive mapping tool made available suitable habitat and connectivity maps for conservation managers to assess new planning applications and for the development of a conservation action plan for water voles.</li> <li>Synthesis and applications: We believe this approach provides a framework for future development of nature conservation tools that can be used by planners to inform ecological decision making, increase biodiversity and reduce human-wildlife conflict in urban environments.</li> </ol>
Appendix A - Understanding the application of Handwritten Text Recognition technology in heritage contexts
<p>This appendix lists all the categorised works mentioning the HTR software Transkribus, used in 'Understanding the application of Handwritten Text Recognition technology in heritage contexts: a systematic review of Transkribus in published research'</p>
Combined Biostimulant Applications of Trichoderma spp. with Fatty Acid Mixtures Improve Biocontrol Activity, Horticultural Crop Yield and Nutritional Quality
<p>Raw Data of "Combined Biostimulant Applications of Trichoderma spp. with Fatty Acid Mixtures Improve Biocontrol Activity, Horticultural Crop Yield and Nutritional Quality".</p>
Water application method influences survival or growth of Escherichia coli on bulb onions during field curing.
<p>These data are presented in figure 2, 3, 4 and 5 of the publication entitled "Water application method influences survival or growth of Escherichia coli on bulb onions during field curing" submitted to Journal of Food Protection</p> <p> </p> <p> </p> <p> </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.