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3,947 results for “Requirements”
Data from: Precisely timed theta oscillations are selectively required during the encoding phase of memory
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Impairment of endothelial function by cigarette smoke and e-cigarette aerosol requires RAGE
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Data for: Growth cone advance requires EB1 as revealed by genomic replacement with a light-sensitive variant
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Data from: Indoor air quality in California homes with code-required mechanical ventilation
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Simulation datasets for "Is Nightside Outflow Required to Induce Magntospheric Sawtooth Oscillations?"
<p>Processed simulation data for "Is Nightside Outflow Required to Induce Magntospheric Sawtooth Oscillations?"</p> <p>"OpenFlux_sawtooth.mat" is the time series of the integrated open magnetic flux in the cusp O+ outflow simulation.</p> <p>"tiltangle.mat" is the time evolution of magnetic inclination angle extracted at geostationary orbit for comparing the spatial extension of sawtooth substorms with observations from Cai et al. [2006].</p> <p> </p>
Namelists required to run sea ice and physics configuration of MITgcm for the West Antarctic Peninsula
<p>This dataset contains the namelists that describe the initial conditions, forcing files and specific package configurations used to run a sea ice and ocean physics configuration of the MITgcm (general circulation model) for the West Antarctic Peninsula (WAP). </p>
Participatory Design of Usability Requirements for Access Control in an Evolutionary-Teal Organization Workshop Data Set
<p>In order to enable members of a socio-technical evolutionary-teal organization to design the technical component for access control, we conducted a workshop that structures the requirement engineering with members. The workshop aims to illustrate user needs, challenges and potential solutions that can be used to infer usability requirements for the development of a prototype of the user interface for access control in the form of "problem statements" and clustered mind-maps.</p> <p>The workshop is setup as a standalone, five-and-a-half-hour group discussion. It uses the methods of Design Thinking and Participatory Design.<br> The workshop has been recorded in video and this data set contains a textual German transcript and transcripts of the moderation cards that have been created during the workshop for various guiding topics.</p> <p>We hope that the material can be used to (a) comprehend the interpretation used in our qualitative research, (b) to adapt the workshop model by other volunteers of our case study Viva con Agua de St. Pauli e.V. (<a href="https://www.vivaconagua.org/">https://www.vivaconagua.org/</a>), and (c) investigate other interesting research questions.</p> <p>Some material, such as timetables and storyboard, has been omitted in the publication due to privacy restrictions.</p>
Subspecies and Distribution. R.f. frantisi Soisook et al, 2015 - known only from a few localities in N, SW & S Borneo. R.f. thailandicus Soisook & Bates, 2015 — known only from type locality in SW Thailand. Genetic data suggest that the species may also occur in Vietnam, but this requires more research. in Rhinolophidae
Subspecies and Distribution. R.f. frantisi Soisook et al, 2015 - known only from a few localities in N, SW & S Borneo. R.f. thailandicus Soisook & Bates, 2015 — known only from type locality in SW Thailand. Genetic data suggest that the species may also occur in Vietnam, but this requires more research.
Crowd-Annotation Results: Identifying and Classifying User Requirements in Online Feedback
<p>Results from the Figure Eight experiment conducted as part of the paper "Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing" published at REFSQ 2020.</p>
Supplementary Data for Multiform: Multi-objective Evolution of Requirements Models Constrained by Formal Verification Results
<p>This data set provides supplementary material for the article "<em>Multiform: Multi-objective Evolution of Requirements Models Constrained by Formal Verification Results</em>" (to appear). It contains the following files:</p> <ul> <li><strong>experiment-input-models.zip</strong> which contains the SML input models for the EBEAS and production cell examples that were used to conduct the experiment</li> <li><strong>experiment-results.tar</strong> which contains the computed candidate SML models as well as H2 database files that contain measurements.</li> <li><strong>experiment-results.pdf</strong> which summarizes the conducted controlled experiment and results.</li> </ul> <p> </p> <p><strong>Input models</strong> (example for EBEAS)</p> <ul> <li><strong>ebeas.sml</strong> contains the actual SML input model to be evolved</li> <li><strong>ebeas.ecore</strong> contains the metamodel of the EBEAS example</li> <li><strong>ebeas.xmi</strong> contains the object system of the EBEAS example that is used for the SML realizability check</li> <li><strong>ebeas.runconfig</strong> contains the runtime configuration for ScenarioTools that binds the SML input model with the object system</li> <li><strong>ebeas.cspec</strong> contains the solution space model used by Multiform.</li> </ul> <p> </p> <p><strong>Measurements</strong> are stored in an <a href="http://h2database.com/html/main.html">H2 database</a> file. To open one of the database files for the EBEAS or production cell examples extract the appropriate zip file to a local folder, navigate to the folder in a terminal, and start H2 with the appropriate database file as follows:</p> <pre><code>java -jar h2-1.4.199.jar -url jdbc:h2:./Statistics</code></pre> <p>A web-based SQL client will open in your browser. H2 cann be obtained free of charge from their homepage.</p> <p> </p> <p>The <strong>database schema</strong> consists of three simple tables:</p> <p><strong>SMLCANDIDATESTATISTICS</strong> contains measurements for each evolved candidate SML model and consists of the following columns:<br> <strong>ALGORITHM </strong>- one of 'Random', 'NSGA2', 'tabu-75-intensify'<br> <strong>SEED </strong>- seed id for which the measurement was taken<br> <strong>ITERATION </strong>- iteration id during whch the measurement was taken<br> <strong>CANDIDATE </strong>- unique id of the evaludated candidate SML model<br> <strong>SYNTHESISTIME </strong>- synthesis time of the evaludated candidate SML model<br> <strong>O1_SCENARIOS </strong>- objective value for o1<br> <strong>O2_FRAGMENTSRATIO </strong>- objective value for o2<br> <strong>O3_ENVFRAGMENTSRATIO </strong>- objective value for o3<br> <strong>C1_REALIZABILITY </strong>- constraint value for c1<br> <strong>C2_REACHABILITY </strong>- constraint value for c1</p> <p><strong>SMLITERATIONSTATISTICS </strong>contains aggregated statistical data for each iteration and consists of the following columns:<br> <strong>ALGORITHM </strong>- one of 'Random', 'NSGA2', 'tabu-75-intensify'<br> <strong>SEED </strong>- seed id for which the data was aggregated<br> <strong>ITERATION </strong>- unique id of this aggregated iteration data<br> <strong>ITERATIONSUCCESSRATE </strong>- achieved success rate in this iteration<br> <strong>ACCUMULATEDSUCCESSRATE </strong>- achieved aggregated success reate until this iteration<br> <strong>ACCUMULATEDHYPERVOLUMEINDICATOR </strong>- achieved hypervolume until this iteration<br> <strong>NUMITERATIONPARETOEQUIVALENTCANDIDATES </strong>- number of pareto-equivalent candidate SML models in this iteration<br> <strong>NUMACCUMULATEDPARETOEQUIVALENTCANDIDATES </strong>- number of pareto-equivalent candidate SML models until this iteration<br> <strong>NUMITERATIONPARETODOMINANTCANDIDATES </strong>- number of pareto-dominant candidate SML models in this iteration<br> <strong>NUMACCUMULATEDPARETODOMINANTCANDIDATES </strong>- number of pareto-dominant candidate SML models until this iteration<br> <strong>ITERATIONSYNTHESISTIME </strong>- total synthesis time of this iteration<br> <strong>ACCUMULATEDSYNTHESISTIME </strong>- accumulated total synthesis time until this iteration</p> <p><strong>SMLSEEDSTATISTICS</strong> contains aggregated statistical data for each seed and consists of the following columns:<br> <strong>ALGORITHM </strong>- one of 'Random', 'NSGA2', 'tabu-75-intensify'<br> <strong>SEED </strong>- unique id of this aggregated seed data<br> <strong>SUCCESSRATE</strong>- achieved success rate in this seed<br> <strong>HYPERVOLUMEINDICATOR </strong>- achieved hypervolume in this seed<br> <strong>NUMPARETOEQUIVALENTCANDIDATES </strong>- number of pareto-equivalent candidate SML models in this seed<br> <strong>NUMPARETODOMINANTCANDIDATES </strong>- number of pareto-dominant candidate SML models in this seed<br> <strong>TOTALSYNTHESISTIME </strong>- total synthesis time of this seed</p> <p> </p> <p><strong>Please note</strong>: the database files contain data for algorithms 'tabu-50-intensify' and 'tabu-25-intensify' representing evaluation runs with different Tabu search configurations. However, these still need to be analyzed and <strong>experiment-results.pdf</strong> refers to '<strong>tabu-75-intensify</strong>' only.</p>
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>
Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence
<p>This is the replication package for the paper: "Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence". It contains the dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package in the following.</p> <p><strong>1. dataset folder</strong></p> <ul> <li>dataset_user_reviews.xlsx contains 1278 labelled non-requirement user reviews.</li> <li>readme.txt describes the meaning of the data in dataset_user_reviews.xlsx in detail.</li> </ul>
Result data related to "Tröndle (2020) -- Supply-side options to reduce land requirements of fully renewable electricity in Europe"
<p>The dataset contains the optimisation model and aggregated result data of my study. See `README.md` for more information.</p> <p>If you use this data in an academic publication, please cite the following article:</p> <blockquote> <p>Tröndle, T. (2020). Supply-side options to reduce land requirements of fully renewable electricity in Europe. PLOS ONE.</p> </blockquote>
Self-compatible blueberry cultivars require fewer floral visits to maximise fruit production than a partially self-incompatible cultivar
<p>Effective pollination is a complex phenomenon determined by the outcome of the interaction between pollen transfer and a plants' pollinator dependency, yet most studies investigate pollinator effectiveness without consideration of plant mating system differences.</p> <p>We investigated pollinator effectiveness in three types of blueberry that differed in their degree of pollinator dependency as measured by plant mating system: two self-compatible highbush cultivars and one partially self-incompatible rabbiteye cultivar. We quantified pollinator effectiveness as a function of the fruit set and fruit weight resulting from single and multiple floral visits (2 – 15 visits), in comparison with estimates of fruit set and fruit weight resulting from experimental pollination treatments (open-pollination, cross-pollination and self-pollination).</p> <p>Single-visit effectiveness of fruit set was similar across pollinator taxa but considerably higher in both self-compatible cultivars. The probability of fruit set in all three blueberry types improved in response to an increasing number of visits, but this relationship was steeper in self-compatible cultivars: >90% probability of fruit set was achieved in three to five visits. In the self-incompatible rabbiteye cultivar, 58% fruit set was achieved with 15 visits. Multiple visits improved fruit weight by 27% – 48% in self-compatible cultivars, but not there was no relationship in rabbiteye. Pollination deficits in fruit set and fruit weight due to self-pollination were most pronounced in rabbiteye. Synthesis and applications: Improved understanding of cultivar-level mating system differences in plants will inform pollination planning and management in agroecosystems. Self-compatible (highbush) cultivars require less floral visitation to maximise fruit production. Therefore, these cultivars may be best suited to landscapes in which pollinator abundance is low, such as intensive and/or simple landscapes. In contrast, self-incompatible (rabbiteye) cultivars may benefit from the implementation of mixed-cultivar crop row plantings to facilitate cross-pollination through the movement by bees between cultivars.</p>
Data from: Assessing precision and requirements of three methods to estimate roe deer density
Roe deer (Capreolus capreolus) is the most abundant cervid in Europe and, as such, has a considerable impact over several human activities. Accurate roe deer population size estimates are useful to ensure their proper management. We tested 3 methods for estimating roe deer abundance (drive counts, pellet-group counts, and camera trapping) during two consecutive years (2012 and 2013) in the Apennines (Italy) in order to assess their precision and applicability. During the study period, population density estimates were: drive counts 21.89±12.74 roe deer/km2 and pellet-group counts 18.74±2.31 roe deer/km2 in 2012; drive counts 19.32±11.12 roe deer/km2 and camera trapping 29.05±7.48 roe deer/km2 in 2013. Precision of the density estimates differed widely among the 3 methods, with coefficients of variation ranging from 12% (pellet-group counts) to 58% (drive counts). Drive counts represented the most demanding method on account of the higher number of operators involved. Pellet-group counts yielded the most precise results and required a smaller number of operators, though the sampling effort was considerable. When compared to the other two methods, camera trapping resulted in an intermediate level of precision and required the lowest sampling effort. We also discussed field protocols of each method, considering that volunteers, rather than technicians, will more likely be appointed for these tasks in the near future. For this reason, we strongly suggest that for each method managers of population density monitoring projects take into account ease of use as well as the quality of the results obtained and the resources required.
Survey Data Set Part 2 - Attitudes Towards Videos as a Documentation Option for Communication in Requirements Engineering
<p>In 2017, I conducted an online survey to explore software professionals' attitudes towards videos as a documentation option for communication in requirements engineering. The survey covered the following topics:</p> <ul> <li>Demographics</li> <li>Attitude towards videos as a medium in RE including its strengths, weaknesses, opportunities, and threats</li> <li>Current production and use of videos in RE, respectively the obstacles that prevent the production and use of videos</li> </ul> <p>64 out of 106 software professionals from industry and academia completed the survey. The survey was implemented in LimeSurvey and distributed across several communication channels such as LinkedIn, ResearchGate, Twitter, and a mailing list of a German RE professionals group.</p> <p>This dataset includes the following files:</p> <ul> <li>"Raw and analyzed data.xlsx" contains the raw and analyzed survey responses which are anonymized <ul> <li>This data includes <em>demographics </em>and <em>video production and use</em>.</li> <li>The data on <em>attitudes</em> are included in: <a href="https://zenodo.org/record/3245770">Survey Data Set Part 1 - Attitudes Towards Videos as a Documentation Option for Communication in Requirements Engineering</a>.</li> </ul> </li> <li>"Survey - Offline version.docx" contains the questions and possible answers of the survey</li> <li>"Survey - Offline version.pdf" contains the questions and possible answers of the survey</li> </ul> <p>This survey was designed, conducted, and analyzed by Oliver Karras (<a href="https://twitter.com/KarrasOliver">@KarrasOliver</a>)</p>
Data from: Tek/Tie2 is not required for cardiovascular development in zebrafish
<p>Angiopoietin/TIE signalling plays a major role in blood and lymphatic vessel development. In mouse, <i>Tek/Tie2</i> mutants die prenatally due to a severely underdeveloped cardiovascular system. In contrast, in zebrafish, previous studies have reported that while embryos injected with <i>tek</i> morpholinos (MOs) exhibit severe vascular defects, <i>tek</i> mutants display no obvious vascular malformations. To further investigate the function of zebrafish Tek, we generated a panel of loss-of-function <i>tek</i> mutants, including RNA-less alleles, an allele lacking the MO-binding site, an in-frame deletion allele, and a premature termination codon-containing allele. Our data show that all these mutants survive to adulthood with no obvious cardiovascular defects. MO injections into <i>tek</i> mutants lacking the MO-binding site or the entire <i>tek</i> locus cause similar vascular defects as those observed in MO-injected <i>+/+</i> siblings, indicating off-target effects of the MOs. Surprisingly, comprehensive phylogenetic profiling and synteny analyses reveal that <i>Tek</i> was lost in the largest teleost clade, suggesting a lineage-specific shift in the function of TEK during vertebrate evolution. Altogether, these data show that Tek is dispensable for zebrafish development, and probably dispensable in most teleost species.</p>
Cloud-native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications
<p>Deployment modeling example used in the paper.</p>
Controlled Experiment in Crosscutting Concerns Identification from Software Requirements Specification
<p>The concern is a group of requirements with the same purpose, which are known as crosscutting concerns when they are scattered and tangled in the system. Identifying and separating these concerns is a matter of huge importance to software maintainability and evolution. For this, some approaches are proposed. There are few experimental studies comparing and analyzing these approaches in detail. In this paper, our aim is to provide empirical evidence about two approaches in this context. We conducted a controlled experiment to compare the effectiveness of two approaches, which identify crosscutting concerns in the requirements specification, followed by an assessment of its perceived utility and ease of use. Our results indicate that, in this given context and planned scenario, there are significant differences between the effectiveness of ObasCId and Theme/Doc approaches.</p>
Design requirements of the app for bridging communication between a Deaf patient and healthcare personnel
<p>These design requirements were part of the findings from Co-design Activity 1. They were derived based on the ideas drawn by health professionals and Deaf participants, including suggestions regarding mobile-interface design from two renowned design guidelines of Hoober’s and Berkman’s (2011) and McVicar’s (2012). </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.