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409 results for “information use”
AL preprocessed data used in paper "Multi variables time series information bottleneck"
<p>Preprocessed AL data used in paper "Multi variables time series information bottleneck" with the <a href="https://github.com/DenisUllmann/IB-MTS">GitHub</a> code</p> <p>This dataset is created from a public available dataset of solar power data collected in Alabama by <a href="https://www.nrel.gov/grid/solar-power-data.html">NREL</a>.</p> <p>The npz file is a numpy (np) compressed data and can be loaded using np.load with allow_pickle=True<br> Loaded data is then a python dict described bellow.</p> <p>Each sample 'data' is a np.ndarray with 2 dimensions: time (various length) and wavelength (length=137 representing 137 solar plants ordered like in <a href="https://www.nrel.gov/grid/solar-power-data.html">NREL</a>).</p> <p>Each sample is given a 'position' which is a list of length 4:<br> position[1] is a string that gives the name of the event<br> position[4] is a boolean vector that gives the time positionsof the corresponding sample in the original sequence of public IRIS level2 data</p> <p>Data file info :<br> Type: .npz<br> Size: 34.48MB<br> *** Key: 'data_TR_AL'<br> ndarray data of length 161<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'data_VAL_AL'<br> ndarray data of length 11<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'data_TE_AL'<br> ndarray data of length 57<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'data_TR'<br> ndarray data of length 161<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'data_VAL'<br> ndarray data of length 11<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'data_TE'<br> ndarray data of length 57<br> containing np.ndarray of shapes ['various', 137]</p> <p>*** Key: 'position_TR_AL'<br> ndarray data of length 161<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_VAL_AL'<br> ndarray data of length 11<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TE_AL'<br> ndarray data of length 57<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TR'<br> ndarray data of length 161<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_VAL'<br> ndarray data of length 11<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p> <p>*** Key: 'position_TE'<br> ndarray data of length 57<br> containing ndarray data of length 4<br> containing mix of types {'str', 'ndarray', 'int'}</p>
FIG. 4. — A in The use of photographic color information for highthroughput phenotyping of pigment composition in Agarophyton vermiculophyllum (Ohmi) Gurgel, J.N.Norris & Fredericq
FIG. 4. — A, After color correction procedures, color values estimated for four areas on the color card (i.e., black, white, red, and blue swatches) included in each photograph showed no significant differences among light condition groups (shapes); B, After color correction using values standardized using a color card, color traits (RGB values analyzed with PCA) were more similar within thallus (numbered clusters) than among light conditions (shapes), with a few exceptions. C, Centroids estimated for each thallus (numbered clusters) and light condition (shape and color) combination showed that some light conditions could be effectively standardized with color correction procedures (e.g. blue, direct sunlight, and white light), whereas thalli photographed under other conditions showed different color profiles even after correction (e.g. indirect sunlight (triangles), and to a lesser extend yellow light (boxed Xs).
FIG. 2 in The use of photographic color information for highthroughput phenotyping of pigment composition in Agarophyton vermiculophyllum (Ohmi) Gurgel, J.N.Norris & Fredericq
FIG. 2. — Principal components of variation for: A, R, G, and B values; B, pigment variables. Arrow directions indicate the association of each variable to PC 1 and PC 2. Arrow length indicates the relative strength of the contribution of each variable. Point color reflects the average color of each thallus; C, the major axis of variation in pigments (PC1) is best predicted by a combination of color PC1 and PC2. The dashed line represents predicted values when PC2 is low, compared to when PC2 is high (solid line); D, pigment variation along PC2 is best predicted by color variation along PC2.
FIG. 1 in The use of photographic color information for highthroughput phenotyping of pigment composition in Agarophyton vermiculophyllum (Ohmi) Gurgel, J.N.Norris & Fredericq
FIG. 1. — Agarophyton vermiculophyllum color variation. Photographs used for color information arranged (from top left) in rank order of increasing hue value. Lower right panel shows the color of the average RGB values estimated from each image. Labels indicated the region and site of origin for each thallus. Diameter of dish in each image is 100 mm.
FIG. 3 in The use of photographic color information for highthroughput phenotyping of pigment composition in Agarophyton vermiculophyllum (Ohmi) Gurgel, J.N.Norris & Fredericq
FIG. 3. — Examples of images taken of the same thallus and color card under five light conditions (left column), and those same images after white balancing (right column). Width of the color card in each image is 178 mm.
Detect Related Bugs from Lucene Source Code Using Bug Information
<p>This dataset uses web metrics.</p> <p>More information at http://openscience.us/repo/defect/ck/lucene.html</p>
Data from: Using environmental DNA metabarcoding to monitor fish communities in small rivers and large brooks: Insights on the spatial scale of information
<p><span>Monitoring fish communities is central to the evaluation of ecological health of rivers. Not only presence/absence of species is important to assess, but also the species composition of local fish assemblages is a crucial parameter. Lotic fish communities are traditionally monitored via electrofishing, characterized by a known limited efficiency and high survey costs. The use of environmental DNA-based analyses could serve as a non-destructive alternative, but this approach requires further insights in practical sampling schemes incorporating transport and dilution of the eDNA fragments; as well as optimization of molecular detection in terms of predictive power and quality assurance. By introducing fifteen species known to occur in Belgian waters via a controlled cage experiment, we aim to extend the knowledge on streamreach of eDNA in small rivers and large brooks, as laid out in the European Water Framework Directive's water typology. Introducing fish communities in two transects of a species poor river characterized by contrasting river discharge rates, we found strong and significant correlations between the eDNA relative abundances and the relative biomass per species in the cage community. Despite a decreasing correlation over distance, the underlying community composition remained stable over a distance of 300 m up to 1 km downstream of the cages, depending on the river discharge rate. Such decrease in similarity between relative source biomass and the corresponding eDNA-based community profile with increasing distance downstream from the source, can partly be attributed to variation in species-specific eDNA persistence. Our findings offer novel insights on eDNA behaviour and characterization of riverine fish communities. We conclude that water sampled from a relatively small river offers an adequate snapshot of the total fish community composition occurring within an upstream perimeter ranging between 300 and 1000 meters. The potential application for other river systems is discussed in this study. </span></p>
Towards a more informative representation of the fetal-neonatal brain connectome using Variational Autoencoder
<p>Recent advances in functional magnetic resonance imaging (fMRI) have helped elucidate previously inaccessible trajectories of early-life prenatal and neonatal brain development. To date, the interpretation of fetal-neonatal fMRI data has relied on linear analytic models, akin to adult neuroimaging data. However, unlike the adult brain, the fetal and newborn brain develops extraordinarily rapidly, far outpacing any other brain development period across the lifespan. Consequently, conventional linear computational models may not adequately capture these accelerated and complex neurodevelopmental trajectories during this critical period of brain development along the prenatal-neonatal continuum. To obtain a nuanced understanding of fetal-neonatal brain development, including non-linear growth, for the first time, we developed quantitative, systems-wide representations of brain activity in a large sample (>500) of fetuses, preterm, and full-term neonates using an unsupervised deep generative model called Variational Autoencoder (VAE), a model previously shown to be superior to linear models in representing complex resting state data in healthy adults. Here, we demonstrated that non-linear brain features, i.e., latent variables, derived with the VAE pretrained on rsfMRI of human adults, carried important individual neural signatures, leading to improved representation of prenatal-neonatal brain maturational patterns and more accurate and stable age prediction in the neonate cohort compared to linear models. Using the VAE decoder, we also revealed distinct functional brain networks spanning the sensory and default mode networks. Using the VAE, we are able to reliably capture and quantify complex, non-linear fetal-neonatal functional neural connectivity. This will lay the critical foundation for detailed mapping of healthy and aberrant functional brain signatures that have their origins in fetal life.</p>
Replication Package: An Expert Survey on the Use of Informal Models in the Automotive Industry
<p>This repository contains the replication package for the paper <em>An Expert Survey on the Use of Informal Models in the Automotive Industry</em> by <a href="https://orcid.org/0000-0001-6410-6769">Dominik Fuchß</a>, <a href="https://orcid.org/0000-0001-7312-2891">Thomas Kühn</a>, <a href="https://orcid.org/0000-0002-8953-1064">Jérôme Pfeiffer</a>, <a href="https://orcid.org/0000-0003-3534-253X">Andreas Wortmann</a>, and <a href="https://orcid.org/0000-0002-1593-3394">Anne Koziolek</a>. The paper has been accepted at the <a href="https://www.iese.fraunhofer.de/en/twinarch.html">TwinArch 2023: The 2nd International Workshop on Digital Twin Architecture</a> co-located with <a href="https://conf.researchr.org/home/ecsa-2023">ECSA 2023</a>.</p>
Datasets for 'Estmating autonomous vehicle localization error using 2D Geographic Information'
<p>Datasets for 'Estmating autonomous vehicle localization error using 2D Geographic Information'</p>
Improving Providers' Decision-Making and Reducing Information Overload Using Information Visualization in EHRs
ClinicalTrials.gov study NCT05937646. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Assessment of coyote-wolf-dog admixture using ancestry-informative diagnostic SNPs
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Dataset for paper titled: Conceptual preferences can be transmitted via selective social information use between competing wild bird species
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Towards a more informative representation of the fetal-neonatal brain connectome using Variational Autoencoder
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Social information use about novel aposematic prey depends on the intensity of the observed cue
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GapAnalysis: An R package to calculate conservation indicators using spatial information
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Data from: Using environmental DNA metabarcoding to monitor fish communities in small rivers and large brooks: Insights on the spatial scale of information
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Computationally-informed point of departure evaluation for proarrhythmic cardiotoxicity assessment using 3D engineered cardiac microtissues from human iPSC-derived cardiomyocytes
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Artifacts related to "Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"
<p>This archive contains data related to in the following paper:</p> <p>"Using Informed Access Network Selection to Improve HTTP Adaptive Streaming Performance"</p> <p>(published at the ACM MMSys 2020 conference)</p> <p>Copyright (c) 2020, Theresa Enghardt <theresa@tenghardt.net>, Fachgebiet INET - TU Berlin.</p> <p><br> See https://github.com/fg-inet/MMSys2020_Informed-Access-Network-Selection for more information.</p> <p>This data is released under the Creative Commons Attribution 4.0 International license.</p>
Data from: Use of web-based species occurrence information systems by academics and government professionals
<p>Web-based information systems designed to increase access to species occurrence data for use in research and natural resource decision-making have become more prevalent over the past few decades. The effectiveness of these systems depends on their usability and extent of use by their intended audiences. We conducted an online survey of academics and government professionals in the United States to compare their species occurrence data needs and their perceptions and use of web-based species occurrence information systems. Our results indicate that although views and perceptions held by academics and government professionals about the importance, usefulness, and ease of use of these information systems tend to be similar, there were differences in their use of species occurrence data and web-based species occurrence information systems. The baseline information obtained in this study will help inform future directions for improvements in species occurrence information systems.</p>
ScienceDex guides
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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.