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6,452 results for “Application”
Automated application to assist in detecting novel gene-disease associations following whole genome sequencing
<p>Results files, analysis scripts and original software from TierUp reanalysis performed on June 2020. These data contribute to the publication titled "Automated reanalysis application to assist in detecting novel gene-disease associations following whole genome sequencing". </p> <ul> <li> <p>tierup_v0-3-0.tar.gz - source code used in the reanalysis</p> </li> <li> <p>tierup_results_summary.tar.gz - raw data and python code for publication figures</p> </li> </ul> <p> </p>
Databases for "A multiscale approach to identify key factors determining rural WaSH service level and sustainability" (ShinyApp). Application to SIASAR conceptual model v1, outputs obtained from Nicaragua, Honduras, Panama and Dominican Republic SIASAR databases (last accessed: December 21, 2016)".
<p>Attached databases contain the results obtained by applying the SIASAR composite indicators v1 (available at http://upcommons.upc.edu/handle/2117/77587) to data presented in http://doi.org/10.5281/zenodo.571351</p> <p>These files can be directly exploited by using the ShinyApp “A multiscale approach to identify key factors determining rural WaSH service level and sustainability”.</p> <p>Each *.csv file contains one country's database. </p>
S-PrediXcan application to gEUVADIS Leafcutter splicing
<p>S-Predixcan application of -geuvadis leafcutter quantification- prediction models to public GWAS summary statistics.</p>
PROGRESS IN COUPLING COMPUTATIONAL THERMODYNAMICS AND COMPUTATIONAL FLUID DYNAMICS TO SUPPORT MOLTEN SALT REACTOR APPLICATIONS (Revised)
<p>This research was undertaken, in part, thanks to funding from the Canada Research Chairs program and the Discovery Grant Program of the Natural Sciences and Engineering Research Council of Canada. This study is in direct support of the SAMOSAFER project.</p> <p> </p>
Improvement and Application of the Parameterization Scheme for Hydrothermal Properties of Rhizosphere Soil in Alpine Grassland
<p>Plant roots signifificantly altered soil hydrothermal properties but was not typically included in land-surface process models. This omission affected the simulation results of soil water content and temperature, particularly on the Qinghai-Tibet Plateau (QTP) where roots in the shallow soil were generally high. Global grassland above-ground biomass carbon data and root distribution model were used to build a geographically distributed, profifiled alpine grassland roots density dataset for the Community Land Model (CLM). The schemes for soil hydrothermal properties were modified to accommodate soil mineral, organic matter and roots. Compared with the original schemes, the new schemes presented an increasing or decreasing trend. The new schemes were verified by single-point, regional offline simulation, and the influence of alpine grassland roots on simulation results on the QTP were explored. The new schemes could effectively block the downward migration of 0-10 cm soil water, which were beneficial to water conservation. The heat storage capacity of 0-10 cm soil increased obviously, and the thermal conductivity showed a certain seasonal change. Therefore, the simulated dry deviation of 0-10 cm soil water content in the new schemes was significantly reduced. The simulated 0-10 cm soil temperature in the new schemes during soil non-freezing was generally lower than the observed, and the simulated cold deviation of this layer during soil freezing was also reduced.</p>
Data from: Application of Spatial-ID to large field mouse brain hemisphere dataset measured by Stereo-seq
<p>The application of Spatial-ID on the large field mouse brain hemisphere dataset measured by Stereo-seq technology. Briefly, three adjacent coronal sections along the anterior-posterior axis were cut from the brain 5-week-old male mouse. It fully proves the innovation and applicability of Spatial-ID.</p>
Characterizing diffusion-controlled release of small-molecules using quantitative MRI: Application to orthopedic infection - dataset
<p>Dataset for paper submitted to Scientific Reports titled "Characterizing diffusion-controlled release of small-molecules using quantitative MRI: Application to orthopedic infection"</p>
Automated and Reproducible Application Traces Generation for IoT Applications Dataset Lighting Application
<p>This data represents an IoT smart city application. It results from an experiment that runs a firmware on a set of representative nodes that have to exchange packets in a broadcast mode using the IEEE 802.15.4-2006 MAC layer and RPL routing protocol. Each application produces data according to 1 of the 3 following modes: periodic (Tx nodes produce data every x milliseconds), event based (modeled with an exponential law with occurrence rate lambda) and hybrid (combination of the two previous modes).</p> <p>Each application has the following parameters :<br> - Surveillance has 10 sensors and 3 routers that exchange packets with a length of 127B. The generation type is exponential with a lambda of 196.74.<br> - Emergency Response has 40 sensors and 5 routers that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 0.03 and a period of 30 seconds.<br> - HVAC has 100 sensors and 5 routers that exchange packets with a length of 60B. The generation type is periodic with a period of 260 seconds.<br> - Lighting has 100 sensors and 5 routers that exchange packets with a length of 30B. The generation type is exponential with a lambda of 0.00208.<br> - VoIP has 10 sensors and 1 router that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 15.74 and a period of 0.063532 seconds.</p> <p>As a result, this dataset has files containing the following data :<br> - Received data : name of the receiving node (node_name); message reception time (timestamp); message unique identifier (message_id); reception delay in milliseconds (reception_delay)<br> - Transmitted data : name of the transmitting node (node_name); message transmission time (timestamp); message unique identifier (message_id); success (transmission success)</p> <p>Furthermore, datasets of 5 more IoT Applications are available at the following <a href="https://zenodo.org/record/7347970">link</a> <br> <br> For any questions, please contact Nina Santi (<a href="mailto:nina.santi@inria.fr">nina.santi@inria.fr</a>)</p>
Automated and Reproducible Application Traces Generation for IoT Applications Dataset
<p>This data represents an IoT smart city application. It results from an experiment that runs a firmware on a set of representative nodes that have to exchange packets in a broadcast mode using the IEEE 802.15.4-2006 MAC layer and RPL routing protocol. Each application produces data according to 1 of the 3 following modes: periodic (Tx nodes produce data every x millisecond), event based (modeled with an exponential law with occurrence rate lambda), and hybrid (combination of the two previous modes).</p> <p>Each application has the following parameters :<br> - Surveillance has 10 sensors and 3 routers that exchange packets with a length of 127B. The generation type is exponential with a lambda of 196.74.<br> - Emergency Response has 40 sensors and 5 routers that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 0.03 and a period of 30 seconds.<br> - HVAC has 100 sensors and 5 routers that exchange packets with a length of 60B. The generation type is periodic with a period of 260 seconds.<br> - Lighting has 100 sensors and 5 routers that exchange packets with a length of 30B. The generation type is exponential with a lambda of 0.00208.<br> - VoIP has 10 sensors and 1 router that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 15.74 and a period of 0.063532 seconds.</p> <p>As a result, this dataset has files containing the following data :<br> - Received data : name of the receiving node (node_name); message reception time (timestamp); message unique identifier (message_id); reception delay in milliseconds (reception_delay)<br> - Transmitted data : name of the transmitting node (node_name); message transmission time (timestamp); message unique identifier (message_id); success (transmission success)</p> <p>Furthermore, a dataset of an IoT Lighting Application is available at the following <a href="https://zenodo.org/record/7348232#.Y4D9VdJBxhE">link</a><br> For any questions, please contact Nina Santi (<a href="mailto:nina.santi@inria.fr">nina.santi@inria.fr</a>)</p>
A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates
<ul> <li>Radioisotopic and ancillary data (i.e., estimated temperature, precipitation and population in lake watersheds)</li> <li>R-code script used in the establishment of 210Pb framework along with example spreadsheet</li> </ul> <p>Original publication: Baud, A., Aulard, C., Ghanbari, H., Fradette, M., Antoniades, D., Del Giorgio, P., Huot, Y., Francus, P., Smol, J. & Gregory‐Eaves, I. (2022). A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates. Earth Surface Processes and Landforms. https:</p>
Graph data for COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications
<p>COMSOL simulations data for Whispering gallery mode resonators. Graph data for publication COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications. Contain prism coupling with coupling conditions and tapered fiber width (Fig. 2), various "items" attaching to the surface (Fig. 3), and surface roughness with and without coating (Fig. 4).</p>
Does experimental seaweed cultivation affect benthic communities and shorebirds? Applications for extensive aquaculture
<p>Extensive seaweed aquaculture is a growing industry expected to expand globally due to its relatively low impact and benefits in the form of ecosystem services. However, seaweeds are ecosystem engineers that may alter coastal environments by creating complex habitats on previously bare mudflats. These changes may scale up to top-consumers, particularly migratory shorebirds, species of conservation concern that regulate trophic webs at these habitats. Understanding how habitats are transformed and how this affects different species is critical to direct ecological applications for commercial seaweed management. We experimentally assessed through a Before-After Control-Impact (BACI) design the potential changes exerted by Gracilaria chilensis farming on bare mudflats on the abundance, biomass, and assemblage structure of benthic macroinvertebrates, and their scaled-up effects on shorebirds' habitat use and prey consumption. Experimental cultivation of G. chilensis significantly affects different components of biodiversity that scale-up from lower to upper trophic levels. The total biomass of benthic macroinvertebrates increased with seaweed cultivation and remained high for at least two months after harvest, boosted by an increase in the median size of polychaetes, particularly Nereids. Tactile-foraging shorebirds tracked these changes at the patch level increasing their abundance and spending more time foraging at seaweed cultivated plots. These results suggest that seaweed farming has the potential to impact shorebird populations by favouring tactile-foraging species which could lead to a competitive disadvantage to species that rely on visual cues. Therefore, the establishment of new seaweed farms in bare mudflats at key sites for shorebirds must be planned warranting habitat heterogeneity (i.e., cultivated and non-cultivated areas) at the landscape level and based on an experimental approach to account for local characteristics. Fostering properly designed extensive seaweed farming over other aquaculture industries with greater negative environmental impacts would provide benefits for human well-being and for ecosystem functions.</p>
Benchmark output of different 3D scanner applications
<p>Visualized outputs, BLK360 with 3DR 360, software from Leica and scanner apps for the iPad</p>
How much is soil nitrous oxide emission reduced with biochar application? An evaluation of meta‐analyses
<p>This data file includes five datasets used to construct the following five figures.</p> <ul> <li>Fig. 1. Response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions from the meta-analyses and grand mean of RR and its 95% confident interval. Number on the right side is the total number of experiments used for RR calculation. <br></span> </li> <li>Fig. 2. Impacts of experimental setting including experiment type (a), ecosystem type (b), and experimental duration (c) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 3. Impacts of biochar properties including feedstock (a), pyrolysis temperature (b), pH (c), and C:N ratio (d) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 4. Impacts of soil properties including soil texture (a), soil organic carbon (SOC, b), C:N ratio (c), and soil pH (d) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emissions. Number on the right side is the total number of experiments used for RR calculation.</span> </li> <li>Fig. 5. Impacts of agricultural practices including biochar application rate (a), type of fertilizer (b), and nitrogen (N) application rate (c) on the response ratios (RR) of biochar application on soil N<span class="font6"><sub>2</sub></span><span class="font5">O emission. Number on the right side is the total number of experiments used for RR calculation.</span> </li> </ul>
Dataset for the publication "Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications"
<p>This is dataset for paper published:</p> <p>Letizia, P.S.; Signorino, D.; Crotti, G. Impact of DC Transient Disturbances on Harmonic Performance of Voltage Transformers for AC Railway Applications. <em>Sensors</em> <strong>2022</strong>, <em>22</em>, 2270. https://doi.org/10.3390/s22062270</p>
Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 08 - raw image data
<p>Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. </p> <p>This dataset represents the images collected for Screen number 02 and day 08 after drought stress application. </p>
Pharmulator™ Module: Quantifying Functional Groups and Its Applications in Drug Design
<p><strong>MS-Excel-1.xlsx:</strong> It contains SMILES codes of the training and test sets along with their GHS classification </p> <p><strong>MS-Excel-2.xlsx: </strong>It contains<strong> </strong>SMILES codes of the 8993 chemicals and their experimental aqueous solubility parameters and FGs, Morgan and MACCS-based structural descriptor values</p> <p><strong>MS-Excel-3.xlsx: </strong>It contains the DrugBank IDs, SMILES codes and number of FG occurrences (binary string) of the 2356 drug molecules</p> <p><strong>MS-Excel-4.xlsx:</strong> It contains SMILES codes as well as FGs descriptors for the entire training sets, balanced training sets and final test sets</p> <p><strong>MS-Excel-5.xlsx:</strong> It contains SMILES codes as well as Morgan descriptors for the entire training sets, balanced training sets and final test sets</p> <p><strong>MS-Excel-6.xlsx:</strong> It contains SMILES codes as well as MACCS descriptors for the entire training sets, balanced training sets and final test sets</p>
Current-driven writing process in antiferromagnetic Mn_2Au for memory applications
<p>Current pulse induced resistance changes in Mn2Au(001) epitaxial thin films associated with Néel vector reorientation.</p>
Manure applications combined with chemical fertilizer improves crop yield and soil functionality
<p>The current farming system is highly reliant on synthetic fertilizers, which adversely affect soil quality, the environment, and crop production. Improving crop productivity on a sustainable basis is a challenging issue in the current agricultural system. To address this issue, we assumed that the combined use of manure and chemical fertilizers (CF) could improve rice grain yield and soil properties without the expense of the environment. Therefore, a two-year field experiment was conducted to explore optimal fertilizer management strategies using a combination of CF and organic fertilizer in the form of cattle manure (CM) or poultry manure (PM). Manure was added at two levels and soil microbial biomass production, enzyme activities, nutrient content, as well as grain yield of rice were measured. The study consisted of six treatments: no N fertilizer control (Neg-Con); 100% chemical fertilizer (Pos-Con); 60% CM + 40% CF (High-CM); 30% CM + 70% CF (Low-CM); 60% PM + 40% CF (High-PM), and 30% PM + 70% CF (Low-PM). Results showed that the addition of manure significantly increased soil enzymatic activities such as soil invertase, acid phosphatase, urease, catalase, ꞵ-glucosidase, and cellulase as compared to sole chemical fertilizer application. Similarly, the combined fertilizers application led to significant increases in soil microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), soil pH, soil organic carbon (SOC), total nitrogen (TN), available nitrogen (AN), available phosphorous (AP) and rice yield. Average increases in soil MBC, MBN, SOC AN, and AP in the 0–20 cm soil depth were 62.2%, 54.5%, 29.2%, 17.4%, and 19.8%, respectively, across the years in the High-CM treatment compared with the Pos-Con. In addition, the linear regression analysis showed that soil enzymatic activities were highly positively correlated with soil MBC and MBN. The PCA and linear regression analyses showed that the increased soil enzyme activities and microbial biomass production played a key role in the higher grain yield of rice. Overall, the results of this study demonstrate that the combined use of synthetic fertilizer and organic fertilizer in paddy fields could be beneficial for the farmers in southern China by improving soil functionality and yield of rice on a sustainable basis.</p>
Tea seed meal application promoted microbial community diversity in the soil of peach orchard
<p><span>Soil microbes are indispensable in agricultural production, and they respond differently to different fertilization regimes. However, there is limited understating of microbial composition and function responses to an organic fertilizer tea seed meal (TSM) and conventional fertilizer. Here we first reported the change rules and functions of soil microbial community in peach orchard soil after application of compound fertilizer plus urea (CFU) and different amounts (1.25, 2.50, 3.75 and 5.00 kg) of TSM. Compared to CFU, the application of 1.25, 2.50 and 3.75 kg TSM significantly decreased the Chao1 index of bacterial community in peach orchard soil. The Shannon index of bacterial and fungal communities in 2.50 kg TSM treatment was significantly higher than that in CFU. Beta diversity analysis of bacteria and fungi (based on Bray-Curtis matrix and OTUs level) revealed significant structural differences among all five experimental groups (ANOSIM, bacteria: R= 0.665, p = 0.001; fungi: R= 0.996, p = 0.001). The TSM treatments significantly decreased the relative abundances of potentially unfriendly bacteria (<em>Acidothermus</em>, <em>Acidicaldus</em>, </span><span><em>Sphingomonas</em>,</span><span> <em>Candidatus</em> <em>Koribacter</em> and <em>Candidatus</em> <em>Solibacter</em>) and fungi (<em>Fusarium</em>), and significantly increased the relative abundances of potentially beneficial fungi (<em>Trechispora</em>, <em>Sagenomella</em>, <em>Penicillium</em>, <em>Acaulium</em> <em>caviariforme</em>, <em>Leucoagaricus</em> and <em>Chlorophyllum</em>) compared with CFU. These changes were more obvious when the application amount of TSM was 2.50 kg. This study provides insights into the potential of application of TSM as an organic fertilizer in agricultural production.</span></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.