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97 results for “code pattern”
Data and codes from: Individuality matters in human-wildlife conflicts: patterns and fraction of damage-making brown bears in the North-eastern Carpathians
<p><span>Effective, evidence-based management is required to ensure long-term coexistence between people and wildlife in an increasingly humanised world. Although behavioural individuality is recognised as a key factor affecting evolutionary and ecological processes, it has rarely been explicitly assessed in relation to human-wildlife conflicts. The </span><span>'</span><span>problem individuals</span><span>'</span><span> paradigm states that some conspecifics within a given population have a disproportionately large contribution to conflicts. To the best of our knowledge, no studies have so far systematically tested this assumption in large carnivores.</span></p> <p><span>Here, we investigated the variation in conflict behaviour among brown bears Ursus arctos within the population inhabiting the Polish Eastern Carpathians. We inspected all sites notified as damaged by bears in 2014-2017 to determine the number and sex of the individuals involved. We conducted systematic non-invasive genetic sampling to estimate the size of the local population by spatially explicit capture-recapture models. We assessed the fraction and sex ratio of damage-making bears in relation to the population, as well as the behavioural patterns by </span><span>classifying and differentiating between </span><span>occasional and repetitive damage-makers.</span></p> <p><span>Approximately one-third of the estimated 72 </span><span>(95% </span><span>CI </span><span>45.2–115.5) </span><span>brown bears inhabiting the Polish Eastern Carpathians were responsible for damage occurrence in the region. The majority of damage-makers were female (65% vs. 35% of male), which reflected the sex ratio of the local population (0.57). Thirty-three percent of the damage-making bears (i.e. 9 individuals) were classified as </span><span>'</span><span>problem individuals</span><span>'</span><span>, </span><span>exhibiting repetitive conflict behaviour.</span></p> <p><span>Synthesis and applications. </span><span>This study provides evidence of intraspecific differences in conflict behaviour in a large carnivore species, the brown bear, and indicates that damage-making behaviour is not exhibited with the same frequency by all individuals within a population. Managers and policy-makers should be aware that </span><span>targeting individuals involved in conflicts without reference to the whole population may lead to misleading conclusions or an incomplete picture of the mechanisms underlying the conflicts, and thus, to mismanagement. Unravelling the behavioural patterns of individual engagement in damage through large-scale and </span><span>population-wide studies is needed to accurately assess the magnitude of damage and enhance human-wildlife coexistence in areas experiencing conflicts.</span></p>
Data and model code for: Habitat use patterns suggest that climate-driven vegetation changes will negatively impact mammal communities in the Amazon (ACV)
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Data and codes from: Individuality matters in human-wildlife conflicts: patterns and fraction of damage-making brown bears in the North-eastern Carpathians
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Data and code for Winter conditions structure extratropical patterns of species richness of amphibians, birds, and mammals globally
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Data and R code from: Relics of beavers past: time and population density drive scale-dependent patterns of ecosystem engineering
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Data and code from: Invasive grass indirectly alters seasonal patterns in seed predation
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Data and code for: Plants with higher dispersal capabilities follow ‘abundant-centre’ distributions but such patterns remain rare in animals
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Data and code from: Functional rarity of plants in German hay meadows - patterns on the species level and mismatches with community species richness
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Empirical Study of the Relationship between Design Patterns and Code Smells
<p>Software systems are often developed in such a way that good practices in the object-oriented paradigm are not met, causing the occurrence of specific disharmonies which are sometimes called code smells. Design patterns catalogue best practices for developing object-oriented software systems. Although code smells and design patterns are widely divergent, there might be a co-occurrence relation between them. The objective of this paper is to empirically evaluate if the presence of design patterns is related to the presence of code smells at different granularity levels. We performed an empirical replication study using 20 design patterns and 13 code smells in ten small-size to medium-size, open-source Java-based systems. We applied statistical analysis and association rules. Results confirm that classes participating in design patterns have less smell-proneness and smell frequency than classes not participating in design patterns. We also noticed that every design pattern category act in the same way in terms of smell-proneness in the subject systems. However, we observed, based on the association rules learning and the proposed validation technique, that some patterns may be linked with certain smells in some cases. For instance, Command patterns can co-occur with God Class, Blob and External Duplication smell.</p> <p><strong>The published data set contains the following:</strong></p> <ol> <li>List of the selected systems (source code files)</li> <li>The P-MARt: the design pattern repository as XML for the selected systems. </li> <li>Data of design patterns and code smells: We processed this data by parsing the design pattern XML file and running the smell detection tool (inFusion).</li> <li>The data of the data mining analysis.</li> </ol>
The relationship between code smells and design patterns: an external replicated experiment
<p>Dataset of the paper "The relationship between code smells and design patterns: an external replicated experiment"</p> <p>File descriptions in readme.txt.</p>
Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots
<p>Code and datasets S1 and S2 used in the paper <strong>ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns.</strong> Computer Graphics Forum 38(3): 225-236 (2019) and to appear in <strong>ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings</strong>, SAGE Information Visualization Journal.</p>
The neural segmentation of linguistically relevant rhythmic patterns: Data and Code
<p>Materials used in "The neural segmentation of linguistically relevant rhythmic patterns".</p><ul><li>EEG dataset</li><li>Stimuli</li><li>Code used for experiment control (task)</li><li>Code used for statistical modeling</li><li>Code used for EEG and acoustic analyses</li><li>Code used for data visualization</li></ul>
Replication data and code for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China"
<p>This dataset contains code and data to replicate the results for "The Spatiotemporal Pattern of Surface Ozone and Its Impact on Agricultural Productivity in China" by Xiaoguang Chen, Jing Gao, Luoye Chen, Madhu Khanna, Binlei Gong, and Maximilian Auffhammer. </p><p> </p>
Data and Code from: Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
<p>This record contains the data used in the paper, "Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO", and a link to the corresponding code for calibration of camera networks. The full method and a description of the dataset is given in the companion paper, currently on arXiv: https://arxiv.org/abs/1903.06811 .</p><p>And the code is on Github: https://github.com/amy-tabb/calico</p><p> </p>
Reconstructing illusory camouflage patterns on moth wings using computer vision - Datas and codes
<p>This repository contains the data, codes and pre-trained weights for the experiments in our paper "Reconstructing illusory camouflage patterns on moth wings using computer vision", accepted for publication in the Journal of The Royal Society Interface.</p> <p>The images, in photos.zip, are available under CC-BY-SA 4.0 International license.</p> <p>The c++ codes, available in codes_closed_forms.zip, are available under a GPL 3.0 license.</p> <p>The monocular depth reconstruction toolbox we used to test different deep learning models for monocular reconstruction is available under the Apache 2.0 software license.</p>
Spatial distribution of naming patterns in Russian law firms through text embeddings: data and code
<p>Data and code for a paper about spatial analysis of law firms naming in Russia. See also the attached paper's DOI and URL as well as the link to the GitHub repository.</p>
Codes for simulation and data for: The relationship between local and regional extinction rates depends on species distribution patterns
<p>The rapid loss of biodiversity poses a great threat to ecosystem functions and services. Credible estimation of species extinction rates is essential for understanding the magnitude of biodiversity loss and for informing conservation, but this has been a challenge because estimated extinctions are unverifiable due to the lack of data. In this study, we investigated the relationship between local and regional extinctions and assessed the effects of range size, spatial segregation, and patchiness of species distribution on this local-regional extinction relationship. We found that regional extinction rates had a convex relationship with local extinction rates, that is, the regional extinction rate was most likely to be lower than the average local rate. The regional rates deviated from local rates as the sampling area decreased. The difference between local and regional extinction rates (local-regional extinction difference) became larger if a higher number of species had larger range sizes and patchiness. We also detected that there were interactive effects among these factors. Species segregation had a weak positive relationship with the local-regional extinction difference if more species had relatively large range sizes. As the sampling areas increased, the range size showed smaller positive effects on local-regional differences, but patchiness showed larger positive effects. The local-regional extinction relationship of this study provides insights into the spatial scaling of biodiversity loss and offers some important cues for estimating regional extinctions from local data in future studies.</p>
Principal component decomposition of acoustic and neural representations of time-varying pitch reveals adaptive efficient coding of speech covariation patterns
<p>Data and scripts reported by Llanos and colleagues in their Brain and Language study </p>
Appendix for "Don't DIY: Automatically transform legacy Python code to support structural pattern matching"
<p>This is the appendix for paper "Don’t DIY: Automatically transform legacy Python code to support structural pattern matching" presented in SCAM 2022.</p> <p><strong>Abstract</strong></p> <p><em>As data becomes more and more complex as technology evolves, the need to support more complex data types in programming languages has grown. However, without proper storage and manipulation capabilities, handling such data can result in hard-to-read, difficult-to-maintain code. Therefore, programming languages continuously evolve to provide more and more ways to handle complex data. Python 3.10 introduced structural pattern matching, which serves this exact purpose: we can split complex data into relevant parts by examining its structure, and store them for later processing. Previously, we could only use the traditional conditional branching, which could have led to long chains of nested conditionals. Maintaining such code fragments can be cumbersome. In this paper, we present a complete framework to solve the aforementioned problem. Our software is capable of examining Python source code and transforming relevant conditionals into structural pattern matching. Moreover, it is able to handle nested conditionals and it is also easily extensible, thus the set of possible transformations can be easily increased.</em></p>
Dataset, R code and metadata for Lim et al., Pattern matters in the aposematic colouration of Papilio polytes butterflies
<p>Dataset, R code and metadata for Lim et al., Pattern matters in the aposematic colouration of Papilio polytes butterflies.</p>
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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.