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137 results for “Domain specificity”
Automotive Domain Property Specification Pattern Dataset
<p>This dataset contains 1000 requirements written in the Property Specification Pattern (PSP) format, specifically tailored for the automotive domain. The dataset serves as a valuable resource for researchers and practitioners working on the formal verification of automotive software, providing a comprehensive set of standardized requirements that can be used for validation, testing, and benchmarking of verification tools and methodologies.</p>
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Specific Leaf Area (SLA) for alder (Alnus crispa) and black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes specific leaf area (SLA) data for two dominant tree species in the Caribou-Poker Creeks Research Watershed: alder (Alnus crispa) and black spruce (Picea mariana). Up to 10 leaf samples were collected per species per sampling location. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: Specific Leaf Area (SLA) for alder (Alnus crispa) and black spruce (Picea mariana) in a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes depth-resolved soils data from September 2014 coring: soil pH, gravimetric soil moisture, roots/rocks, bulk density, humification indices as determined by FTIR, total elemental composition (carbon, nitrogen, sulfur), depth to mineral horizon, thickness of the moss layer, percent groundcover at the sampling location of several common species, and soil temperature at the time of coring. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis - Additional Files
<p>Additional files from the manuscript titled "Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis" published in BMC Systems Biology:</p> <ul> <li>Data containing delimited time points and measurements used for fitting the different model structures</li> <li>Supplementary material containing additional figures and tables</li> <li>Archive containing the complete library, the incomplete model and the task used for modeling the Rab5-Rab7 switch</li> </ul> <p> </p>
RPL: a domain-specific language for designing and implementing parallel C++ applications
<p>Parallelising sequential applications is usually a very hard job, due to many different ways in which an application can be parallelised and a large number of programming models (each with its own advantages and disadvantages) that can be used. In this paper, we describe a method to semi-automatically generate and evaluate different parallelisations of the same application, allowing programmers to find the best parallelisation without significant manual reengineering of the code. We describe a novel, high-level domain-specific language, Refactoring Pattern Language (RPL), that is used to represent the parallel structure of an application and to capture its extra-functional properties (such as service time). We then describe a set of RPL rewrite rules that can be used to generate alternative, but semantically equivalent, parallel structures (parallelisations) of the same application. We also describe the RPL Shell that can be used to evaluate these parallelisations, in terms of the desired extra-functional properties. Finally, we describe a set of C++ refactorings, targeting OpenMP, Intel TBB and FastFlow parallel programming models, that semi-automatically apply the desired parallelisation to the application's source code, therefore giving a parallel version of the code. We demonstrate how the RPL and the refactoring rules can be used to derive efficient parallelisations of two realistic C++ use cases (Image Convolution and Ant Colony Optimisation).</p>
Domain-Specific Language domain analysis and evaluation: a systematic literature review
<p>In order to successfully implement Domain-Specific Languages (DSLs), it is needed to systematically define and to support its development process; namely its Evaluation and the Domain Analysis phase. For that purpose, the studies were systematically selected from the most relevant venues that focus on the implementation of DSLs, in order to get insight if and how these development phases were performed. The special focus was given to the human-machine DSLs (excluding the machine-machine languages), the involvement of its end-users in the development process and the evaluation of DSLs usability, i.e. quality in use of DSLs. </p> <p>Preliminary results give us a notion that there is increased the state of practice of performing the evaluation of the DSLs, mostly including usability concerns, at least after its implementation. Generally, the quality of the reviewed studies was high. On another hand, rarely the assessments are done during domain analysis, which in general is not reporting inclusion of end-users or consideration of different use-cases, although the majority of studies refer to target non-programmers and to contribute easy in use. </p> <p>We did collect the valuable body of primary studies that are giving us answers to our research questions, however, to raise the credibility of the conclusions we should extend the analysis to other venues. Also, as we get insights into the categorization of practices we could specify more concretely answers that would give us means to perform more detailed meta-analysis. </p>
Data from: Domain-specific neural networks improve automated bird sound recognition already with small amount of local data
<p><span><span>An automatic bird sound recognition system is a useful tool for collecting data of different bird species for ecological analysis. Together with autonomous recording units (ARUs), such a system provides a possibility to collect bird observations on a scale that no human observer could ever match. During the last decades progress has been made in the field of automatic bird sound recognition, but recognizing bird species from untargeted soundscape recordings remains a challenge. <br></span></span></p> <p><span><span>In this article we demonstrate the workflow for building a global identification model and adjusting it to perform well on the data of autonomous recorders from a specific region. We show how data augmentation and a combination of global and local data can be used to train a convolutional neural network to classify vocalizations of 101 bird species. We construct a model and train it with a global data set to obtain a base model. The base model is then fine-tuned with local data from Southern Finland in order to adapt it to the sound environment of a specific location and tested with two data sets: one originating from the same Southern Finnish region and another originating from a different region in German Alps.<br></span></span></p> <p><span><span>Our results suggest that fine-tuning with local data significantly improves the network performance. Classification accuracy was improved for test recordings from the same area as the local training data (Southern Finland) but not for recordings from a different region (German Alps). Data augmentation enables training with a limited number of training data and even with few local data samples significant improvement over the base model can be achieved. Our model outperforms the current state-of-the-art tool for automatic bird sound classification.<br></span></span></p> <p><span><span>Using local data to adjust the recognition model for the target domain leads to improvement over general non-tailored solutions. The process introduced in this article can be applied to build a fine-tuned bird sound classification model for a specific environment.</span></span></p>
Code for the paper "First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming": IFL 2022
<p>Code accompanying the paper First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming.</p> <p>All code is Haskell code, tested with GHC 8.8.4</p> <ul> <li>./tuple: contains the examples from Section 3.2</li> <li>./bin: contains the examples from Section 5.1</li> <li>./artifact: contains an extended version of the running example of the paper<br> </li> </ul>
Replication package for The Use of Domain-Specific Languages for Visual Analytics: A Systematic Literature Review
<p>In order to provide reproducibility, we have made all the data collected in the study titled: "The Use of Domain-Specific Languages for Visual Analytics: A Systematic Literature Review" as a replication package. This package includes the following files:</p> <ol> <li>A zip file containing the codes used for this Systematic Literature Review from NVIVO software. One separate file for each of the codes in the Zip file. (Code Summary.zip)</li> <li>Data collection form for different rounds of study. (Data_Collection_Form_Final.xlsx)</li> <li>Summary of number of papers retrieved in each round. (Number_of_Retrieved_studies.pdf)</li> </ol>
Data from: Domain-specific neural networks improve automated bird sound recognition already with small amount of local data
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A select-and-resequence approach reveals strain-specific effects of Medicago nodule-specific PLAT-domain genes
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Data Release: A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms
<p>The archive contains the supporting data for the results described in the paper titled "A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms".</p> <p>For more information see either the individual README files or consult the project git repository:</p> <p>https://bitbucket.org/wrs20/ppmd</p> <p> </p> <p>Copyright W.R.Saunders 2017</p>
Figure e-1.- Effect of APOE alleles on cognitive domain-specific composite measures.
<p>Supplemental Figure of our original article "Association of <em>APOE</em> Genotype with Heterogeneity of Cognitive Decline Rate in Alzheimer's Disease" published in <em>Neurology</em> showing model 1-based trajectories of cognitive domain-specific composite measures by <em>APOE</em> genotype, as well as the difference of the <em>APOE</em>e2 and <em>APOE</em>e4 groups with respect to the <em>APOE</em>e3/e3 reference group.</p>
Replication package of SLR of Domain-oriented Specification Techniques
<p>This is a MS Excel sheet containing the data from the initial search up to the classification in the framework, belonging to the manuscript Systematic Literature Review of Domain-oriented Specification techniques, to be published in Journal of Systems and Software. </p>
Replication package of SLR of Domain-oriented Specification Techniques
<p>This is a MS Excel sheet containing the data from the initial search up to the classification in the framework, belonging to the manuscript Systematic Literature Review of Domain-oriented Specification techniques, to be published in Journal of Systems and Software.</p>
Dataset for: Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks
<p>The set of molecular dynamics trajectories generated and analyzed in the paper "Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks." <strong>Citations should refer directly to the manuscript. </strong> The preprint version is available at: https://doi.org/10.1101/2022.07.14.500085</p> <p>The uploaded zip file "trajectory_data.zip" contains trajectories for the (1) apo (2) h3k27ac and (3) h3k9ac systems. In each directory is a subdirectory corresponding to the wild-type, deletion, and insertion mutations. In each of those subdirectories are 10 XTC files, which correspond to the trajectories for the 10 different simulations performed for each system, along with an AMBER-formated PRMTOP file. Solvent molecules were removed from each file, and trajectories were strided such that there is one frame per 500 ps. </p>
Supplemental Dataset Excel files and Source Data Excel file for "START domains generate paralog-specific regulons from a single network architecture"
<p>Supplemental Dataset Excel files and Source Data Excel file for "START domains generate paralog-specific regulons from a single network architecture" in Nat Comms</p>
Figure e-1.- Effect of APOE alleles on cognitive domain-specific composite measures.
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Early Requirements Traceability with Domain-Specific Taxonomies - A Pilot Experiment
<p>Experiment instrumentation (code), raw data, and R analysis scripts.</p> <p>Github repository: https://github.com/munterkalmsteiner/inception/tree/CoClassRecommender</p>
Domain-specific Language for Data-driven Design Time Analyses and Result Mappings for Logic Programs - Data Set
<p>This data set contains additional information to the master thesis of Sebastian Hahner. This includes the prototypical implementation of the domain-specific language (DSL) as well as sample scenarios and mapping results.</p>
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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.