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4,325 results for “real”
Data from: Link prediction in real-world multiplex networks via layer reconstruction method
Networks are invaluable tools to study real biological, social and technological complex systems in which connected elements form a purposeful phenomenon. A higher resolution image of these systems shows that the connection types do not confine to one but to a variety of types. Multiplex networks encode this complexity with a set of nodes which are connected in different layers via different types of links. A large body of research on link prediction problem is devoted to finding missing links in single-layer (simplex) networks. In recent years, the problem of link prediction in multiplex networks has gained the attention of researchers from different scientific communities. Although most of these studies suggest that prediction performance can be enhanced by using the information contained in different layers of the network, the exact source of this enhancement remains obscure. Here, it is shown that similarity w.r.t. structural features (eigenvectors) is a major source of enhancements for link prediction task in multiplex networks using the proposed Layer Reconstruction Method and experiments on real-world multiplex networks from different disciplines. Moreover, we characterize how low values of similarity w.r.t. structural features result in cases where improving prediction performance is substantially hard.
Adjustment costs and factor demand: New evidence from firms' real estate - Replication packages
<p>This is the replication package associated with the article "Adjustment costs and factor demand. New evidence from firms’ real estate" published in Economic Journal.</p>
data artifact for "Keeping It Real: Why HPC Data Services Don't Achieve I/O Microbenchmark Performance"
<p>This is the data artifact associated with the PDSW 20 workshop paper submission entitled "Keeping It Real: Why HPC Data Services Don’t Achieve I/O Microbenchmark Performance" in accordance with the PDSW 20 artifact submission guidelines.</p>
Data from quantitative real-time PCR of corticotropin-releasing hormone and glucocorticoid receptor in the hippocampus and hypothalamus of rats subjected to midline fluid percussion injury or control sham surgery.
<p>These files contain all data from quantitative real-time PCR of corticotropin-releasing hormone (CRH) and glucocorticoid receptor (GR) measured in the hippocampus and hypothalamus of male and female rats. Rats were randomly assigned to a treatment group before the initiation of the study. Rats received a control sham surgery or were subjected to midline fluid percussion injury to induce a diffuse traumatic brain injury. Tissue biopsies were collected at 7 days post-injury and analyzed via quantitative real-time PCR. </p> <p> </p>
A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia
<p>This repository hosts the raw data and source code for the paper entitled " A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia" [DOI: 10.7717/peerj.10106].</p> <p>Two zip archives are available:</p> <p>Raw data and methods evaluation.zip - Retains empirical data and method evaluation code (R scripts) that relate to data presented in the results and discussion sections of the article, specifically, Figures 3 -11 and Tables 1 and 2.</p> <p>RTmap_source_code_and_data_structure.zip - This repository hosts the source code for <a href="http://austemperature.live/">http://austemperature.live/</a>, as described in the methods section of the article. A README.docx presents the contents and subsequent procedures for deploying the mapping code and web map application.</p> <p>For further information about this files please email:</p> <p>mweb7041@uni.sydney.edu.au</p> <p> </p>
Data and Scripts for "Real-Time Time-Dependent Density Functional Theory Implementation of Electronic Circular Dichroism Applied to Nanoscale Metal-Organic Clusters"
<p>The xyz files were used for the ECD calculation in the paper :https://arxiv.org/abs/2007.08560<br> gsrun.py: ground-state calculation<br> td_calc.py: time -propagation for ECD<br> cdspecX.py: get rotatory strength for plotting</p>
Predicting human complexity perception of real-world scenes
Perceptual load is a well-established determinant of attentional engagement in a task. So far, perceptual load has typically been manipulated by increasing either the number of task-relevant items or the perceptual processing demand (e.g. conjunction vs. feature tasks). The tasks used often involved rather simple visual displays (e.g. letters or single objects). How can perceptual load be operationalised for richer, real-world images? A promising proxy is the visual complexity of an image. However, current predictive models for visual complexity have limited applicability to diverse real-world images. Here we modelled visual complexity using a deep convolutional neural network trained to learn perceived ratings of visual complexity. We presented 53 observers with 4000 images from the PASCAL VOC dataset, obtaining 75,020 2AFC paired comparisons across observers. Image visual complexity scores were obtained using the TrueSkill algorithm. A CNN with weights pre-trained on an object recognition task predicted complexity ratings with r=0.83. In contrast, feature-based models as used in the literature, working on image statistics such as entropy, edge density and JPEG compression ratio, only achieved r = 0.70. Thus, our model offers a promising method to quantify the perceptual load of real-world scenes through visual complexity.
Data from: Real-time quantification of damage in structural materials during mechanical testing
A novel methodology is introduced for quantifying the severity and morphology of damage created during testing in composite components. The method utilises digital image correlation combined with image processing techniques to monitor the rate at which the strain field changes during mechanical tests. The methodology is demonstrated using two distinct experimental datasets, a ceramic matrix composite specimen loaded in tension at high temperature and nine polymer matrix composite specimens containing fibre-waviness defects loaded in bending. The changes in the strain field due to damage creation are shown to be a more effective indicator that the specimen has reached its proportional limit than using load-extension diagrams. The technique also introduces a new approach to using experimental data for creating maps showing the spatio-temporal distribution of damage in a component. These maps indicate where damage occurs in a component, its morphology and the time of occurrence. This presentation format is both easier and faster to interpret than the raw data which, for some tests, can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets whilst increasing the amount of knowledge that can be extracted from each test.
Data from: Real-time assessment of hybridization between wolves and dogs: combining non-invasive samples with ancestry informative markers
Wolves and dogs provide a paradigmatic example of the ecological and conservation implications of hybridization events between wild and domesticated forms. However, our understanding of such implications has been traditionally hampered by both high genetic similarity and the difficulties in obtaining tissue samples (TS), which limit our ability to assess ongoing hybridization events. To assess the occurrence and extension of hybridization in a pack of wolf-dog hybrids in Northwestern Iberia, we compared the power of 52 nuclear markers implemented on TS with a subset of 13 ancestry informative markers (AIMs) typed in non-invasive samples (NIS). We demonstrate that the 13 AIMs are as accurate as the 52 markers that were chosen without regard to the power to differentiate between wolves and dogs, also having the advantage of being rapidly screened on NIS. The efficiency of AIMs significantly outperformed ten random sets of similar size and an additional commercial set of 18 markers. Bayesian clustering analysis implemented on AIMs and NIS identified nine hybrids, two wolves and two dogs. Four hybrids were unambiguously assigned to F1xWolf backcrosses. Our approach (AIMs + NIS) overcomes previous difficulties related to sample availability and informative power of markers, allowing a quick identification of wolf-dog hybrids in the first phases of hybridization episodes. This provides managers with a reliable tool to evaluate hybridization, and estimate the success of their actions. This approach may be easily adapted for other pairs of wild/domesticated species, thus improving our understanding of the introgression of domestication genes into natural populations.
Data from: Evolutionary online behaviour learning and adaptation in real robots
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learning and adaptation: robots have the potential to automatically learn new tasks and to adapt to changes in environmental conditions, or to failures in sensors and/or actuators. However, studies have so far almost exclusively been carried out in simulation because evolution in real hardware has required several days or weeks to produce capable robots. In this article, we successfully evolve neural network-based controllers in real robotic hardware to solve two single-robot tasks and one collective robotics task. Controllers are evolved either from random solutions or from solutions pre-evolved in simulation. In all cases, capable solutions are found in a timely manner (1 h or less). Results show that more accurate simulations may lead to higher-performing controllers, and that completing the optimization process in real robots is meaningful, even if solutions found in simulation differ from solutions in reality. We furthermore demonstrate for the first time the adaptive capabilities of online evolution in real robotic hardware, including robots able to overcome faults injected in the motors of multiple units simultaneously, and to modify their behaviour in response to changes in the task requirements. We conclude by assessing the contribution of each algorithmic component on the performance of the underlying evolutionary algorithm.
Data from: Utility of real-time shear wave elastography in the assessment of testicular torsion
Real-time shear-wave elastography (SWE) is a newly developed method which can obtain the stiffness of tissues and organs based on tracking of shear wave propagation through a structure. Several studies have demonstrated its potential in the differentiation between diseased and normal tissue in clinical practices, however the applicability to testicular disease has not been well elucidated. We investigated the feasibility and reproducibility of SWE in the detection of testicular torsion. This prospective study comprised 15 patients with complete testicular torsion. Results obtained from SWE along with conventional gray-scale and color Doppler sonography and post-operative pathology were compared. The results revealed that (i) the size of injured testis was increased and the twisted testis parenchyma was heterogeneous. The blood flow signals in injured testis were barely visible or absent; (ii) The Young's modulus, including Emean, Emax, Emin and SD values in the border area of torsional testis were higher than those of normal testis (Emean, 78.07±9.01kPa vs 22.0±5.10kPa; Emax,94.07±6.53kPa vs 27.87±5.78kPa; Emin, 60.73±7.84 kPa vs 18.90±4.39kPa; SD, 7.67±0.60 kPa vs 2.30±0.36 kPa, [P<0.05]); The Emax and SD values in the central area of the torsional testis were higher than the corresponding area of the normal testis (Emax, 8.23±0.30 kPa vs 3.97±0.95kPa; SD, 1.5±0.26kPa vs 0.67±0.35kPa,[P<0.05]) and Emin values was lower than those of normal testicles(0.93±0.51kPa vs 1.6±0.36kPa; [P<0.05]); (iii) The Young's modulus measurement between two physicians showed good agreement. The pathological findings were accordance with SWE measurement. SWE is a non-invasive, convenient and high reproducible method and may serve as an important alternative tool in the diagnosis and monitoring the progression of the acute scrotums, in additional to conventional Doppler sonography.
Data from: Persistent near real-time passive acoustic monitoring for baleen whales from a moored buoy: system description and evaluation
1. Managing interactions between human activities and marine mammals often relies on an understanding of the real-time distribution or occurrence of animals. Visual surveys typically cannot provide persistent monitoring because of expense and weather limitations, and while passive acoustic recorders can monitor continuously, the data they collect are often not accessible until the recorder is recovered. 2. We have developed a moored passive acoustic monitoring system that provides near real-time occurrence estimates for humpback, sei, fin, and North Atlantic right whales from a single site for a year, and makes those occurrence estimates available via a publicly accessible website, email and text messages, a smartphone/tablet app, and the U.S. Coast Guard's maritime domain awareness software. We evaluated this system using a buoy deployed off the coast of Massachusetts during 2015-2016 and redeployed again during 2016-2017. Near real-time estimates of whale occurrence were compared to simultaneously collected archived audio as well as whale sightings collected near the buoy by aerial surveys. 3. False detection rates for right, humpback, and sei whales were 0% and nearly 0% for fin whales, while missed detection rates at daily time scales were modest (12-42%). Missed detections were significantly associated with low calling rates for all species. We observed strong associations between right whale visual sightings and near real-time acoustic detections over a monitoring range of 30-40 km and temporal scales of 24-48 hours, suggesting that silent animals were not especially problematic for estimating occurrence of right whales in the study area. There was no association between acoustic detections and visual sightings of humpback whales. 4. The moored buoy has been used to reduce the risk of ship strikes for right whales in a U.S. Coast Guard gunnery range, and can be applied to other mitigation applications.
Data from: How much can history constrain adaptive evolution? A real time evolutionary approach of inversion polymorphisms in Drosophila subobscura
Chromosomal inversions are present in a wide range of animals and plants, having an important role in adaptation and speciation. Although empirical evidence of their adaptive value is abundant, the role of different processes underlying evolution of chromosomal polymorphisms is not fully understood. History and selection are likely to shape inversion polymorphism variation to an extent yet largely unknown. Here, we perform a real-time evolution study addressing the role of historical constraints and selection in the evolution of these polymorphisms. We founded laboratory populations of Drosophila subobscura derived from three locations along the European cline and followed the evolutionary dynamics of inversion polymorphisms throughout the first 40 generations. At the beginning, populations were highly differentiated and remained so throughout generations. We report evidence of positive selection for some inversions, variable between foundations. Signs of negative selection were more frequent, in particular for most cold-climate standard inversions across the three foundations. We found that previously observed convergence at the phenotypic level in these populations was not associated with convergence in inversion frequencies. In conclusion, our study shows that selection has shaped the evolutionary dynamics of inversion frequencies, but doing so within the constraints imposed by previous history. Both history and selection are therefore fundamental to predict the evolutionary potential of different populations to respond to global environmental changes.
Data from: Repeatable, continuous and real-time estimates of coupled nitrogenase activity and carbon exchange at the whole-plant scale
1. Symbiotic nitrogen fixation (SNF) by higher plants and their bacterial symbionts is a globally important input of nitrogen. Our understanding of the mechanisms that control SNF and the timescales over which they operate has been constrained by limitations of the existing methods for measuring SNF. One method, Acetylene Reduction Assays by Cavity-ring down laser Absorption Spectroscopy (ARACAS), seems promising, as it is highly sensitive and gives rapid, continuous, repeatable and real-time measurements of nitrogenase activity. ARACAS has been used to study nitrogen fixation in lichens, mosses and asymbiotic bacteria, but adapting it to higher plants poses challenges because acetylene and ethylene can influence plant function. 2. Here we report modifications to ARACAS that allow it to be used on higher plants in an environmentally-controlled incubation chamber. The modifications include lower concentrations of acetylene (2%) and ethylene and concurrent measurements of whole chamber CO2 exchange, H2O exchange and nitrogenase activity, linking nitrogenase activity to whole-plant rates of photosynthesis and respiration. 3. After propagating the error terms from all sources, we establish the following parameters of the method: (A) The detection limit of our method was 2-3 ppbv C2H4 hr-1, although it rose substantially when we used tank-derived acetylene, which has much higher ethylene contamination; (B) Repeated measures at a frequency of 3 days or longer did not diminish nitrogenase activity or photosynthesis, although daily measurements diminished nitrogenase activity; (C) This method can detect changes at timescales as short as seconds; (D) Continuous measurement of nitrogenase activity is maintained above 90% of the maximum rate for 7.0 ± 1.3 (mean ± SD) hours. 4. This method has the potential to improve our understanding of the controls over SNF and therefore how SNF and global nitrogen and carbon cycling are likely to be affected by global change.
Clay spindle whorl, Alarcos, Ciudad Real
"Clay spindle whorl from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000453. Processed in Reality Capture from 504 images. Alarcos 86 sector IV, cuadrícula 16 Nº 1519. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Ciudad Real Museum DO000088
Protohistoric pottery from the important Iberian fortified town (oppida) of Alarcos. The archaeological site of Alarcos is located 10 kilometers from Ciudad Real (Spain) in the Archaeological Park of Alarcos, next to the Guadiana river. This piece is currently deposited in the Ciudad Real Museum. Source: Objaverse 1.0 / Sketchfab
Clay spindle whorl, Alarcos, Ciudad Real
"Clay spindle whorl from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000454. Processed in Reality Capture from 396 images. Alarcos 87 sector IV, cuadrícula 18 Nº 1766. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Clay spindle whorl, Alarcos, Ciudad Real
"Clay spindle whorl from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000459. Processed in Reality Capture from 437 images. Alarcos 84 sector IV, cuadrícula 23 Nº 2202. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Clay spindle whorl, Alarcos, Ciudad Real
"Clay spindle whorl from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000446. Processed in Reality Capture from 479 images. Alarcos 87 sector IV, cuadrícula 14 Nº 1338. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
Clay spindle whorl, Alarcos, Ciudad Real
"Clay spindle whorl from the site of Alarcos, Ciudad Real, Castilla-La Mancha, Spain. Iron Age. In the collection of the Ciudad Real Museum. Catalog number DO000448. Processed in Reality Capture from 526 images. Alarcos 87 sector IV, cuadrícula 15 Nº 1402. This work is part of the collaboration agreement signed in 2020 between the Junta de Comunidades de Castilla-La Mancha and Global Digital Heritage for the digitization of the Cultural Heritage of Castilla-La Mancha region. We want to publicly thank the collaboration of the Museum of Ciudad Real, especially by its director José Ignacio de la Torre. Source: Objaverse 1.0 / Sketchfab
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.