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3,947 results for “Requirements”
Data for "Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 recovery packages"
<p>This dataset contains the underlying data for the following publication: Tanaka, K., C. Azar, O. Boucher, P. Ciais, Y. Gaucher, D. J. A. Johansson (2022) Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 public stimulus packages. <em>Climatic Change</em> <strong>172, </strong>1 (2022). https://doi.org/10.1007/s10584-022-03355-6</p> <p>Earlier manuscripts were published as a preprint. https://arxiv.org/abs/2104.08342</p>
Smart Analyser of Variability Requirements of Unknown Spaces (SAVRUS) Dataset of a study with 5 real-world large numerical variability models.
<p>The publications and research associated to cite is in:</p><p><a href="https://doi.org/10.1016/j.knosys.2023.110558">https://doi.org/10.1016/j.knosys.2023.110558</a></p><p>In that research we detail the Smart Analyser of Variability Requirements of Unknown Spaces (SAVRUS) approach, and provide a web-tool prototype in <a href="https://hadas.caosd.lcc.uma.es/savrus">https://hadas.caosd.lcc.uma.es/savrus</a></p><p>In the study, we model 5 different real-world software product lines to then analysed them with SAVRUS:</p><p>Detailed real-world variability models ordered by their search space size, of which GEC QA is incompletely measured NVM Description #Booleans #Numericals Space QA #Measurements </p><p>Dune1</p><p> </p><p>Multi-grid solver</p><p> </p><p>11</p><p> </p><p>3</p><p> </p><p>2,304</p><p> </p><p>Complex..</p><p> </p><p>2,304</p><p> </p><p>HSMGP1</p><p> </p><p>Stencil-grid solver</p><p> </p><p>14</p><p> </p><p>3</p><p> </p><p>3,456</p><p> </p><p>..equation..</p><p> </p><p>3,456</p><p> </p><p>HiPAcc1</p><p> </p><p>Image processing framework</p><p> </p><p>33</p><p> </p><p>2</p><p> </p><p>13,485</p><p> </p><p>..solving..</p><p> </p><p>13,485</p><p> </p><p>Trimesh2</p><p> </p><p>Triangle mesh library</p><p> </p><p>13</p><p> </p><p>4</p><p> </p><p>239,360</p><p> </p><p>..time</p><p> </p><p>239,360</p><p> </p><p>GEC</p><p> </p><p>Generic edge computing</p><p> </p><p>552</p><p> </p><p>2</p><p> </p><p>~5.3*108</p><p> </p><p>Energy Consumption</p><p> </p><p>132500</p><p> </p><p>The dataset zip file contains:</p><ul><li>5 numerical variability models in Clafer format (.txt) for each software product line.</li><li>5 CSV files with the respective quality attribute measurements</li><li>An .xlsx file containing SAVRUS scalability results divided in different tabs.</li></ul><p>References:</p><p>[1] N. Siegmund, A. Grebhahn, S. Apel, C. Kastner, Performance-influence models for highly configurable systems, in: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2015, Association for Computing Machinery, New York, NY, USA, 2015, p.284–294. doi:10.1145/2786805.2786845.</p><p>[2] M. Bauer, A comparison of six constraint solvers for variability analysis, Tech. rep., University of Passau (2019).</p>
Defining the genes required for survival of Mycobacterium bovis in the bovine host offers novel insights into the genetic basis of survival of pathogenic mycobacteria
<p>Supplementary dataset from "<strong><em>Defining the genes required for survival of Mycobacterium bovis in the bovine host offers novel insights into the genetic basis of survival of pathogenic mycobacteria</em></strong>"</p> <p> </p> <p><strong>Supplementary Figure legends</strong></p> <p><strong>Figure S1. Illustration of the transposon insertions around the <em>M. bovis </em>genome. </strong>Sequencing of the input library showed that transposon insertions were evenly distributed around the genome and 27,419 of the permissible 66,931 thymine–adenine dinucleotide (TA) sites contained an insertion representing an insertion density of ~41%. The outer ring are the genomic coordinates, the blue lines represent transposon insertions and the gray boxes indicate regions of that did not have any insertions. Plot made with Circlize (Gu et al, 2014).</p> <p> </p> <p><strong>Figure S2. Diversity of the output library isolated from lung and thoracic lymph node lesions compared to the input library. </strong>On average, libraries recovered from lung lesions contained 14,456 unique mutants and those recovered from the lymph nodes contained an average of 16,210 unique mutants. Insertion density is represented as a proportion of the TA sites that contained insertions. The numbers on the x-axis refer to the sequencing file from that sample and come from individual animals (Bioproject ID: PRJNA816175, Submission ID: SUB11067380).</p> <p> </p> <p><strong>Figure S3. Volcano plots showing the distribution of log<sub>2</sub> fold-changes and -log<sub>10</sub> of adjusted p-values for representative lung (A) and lymph node (B) samples. </strong>Adjusted p-values (BH-fdr correction) < 0.000001 cluster at the limits of the plot and precision reflects the number of resampling iterations (10,000).</p> <p> </p> <p><strong>Figure S4. Scatterplot of mean log<sub>2</sub> fold change per gene for all lung samples against all thoracic lymph node samples</strong>. Correlation between mean log<sub>2</sub> fold change among genes between the tissues was calculated with Spearman's ranked correlation, = 0.878, p-value < 2.2e-16.</p> <p> </p> <p><strong>Figure S5. Fold-changes caused by transposon insertions in <em>RD1<sup>BCG</sup></em> and <em>RD1<sup>MIC</sup> </em>in the lungs and lymph nodes of infected cattle. </strong>Boxplot for log<sub>2 </sub>fold-changes in genes of the RD1<sup>BCG</sup> region. Samples with adjusted p-values (BH-fdr corrected) <0.05 are indicated with purple points. Gene names highlighted in magenta have fewer than 5 TA sites located in the gene; too few to determine the statistical significance of changes in insertion levels with this method.</p> <p> </p> <p><strong>Supplementary Tables </strong></p> <p><strong>Table S1. Sequencing statistics of the input and output transposon libraries. </strong>The numbers in the column labelled “filename” refers to the sequencing file from that sample and come from individual animals (Bioproject ID: PRJNA816175, Submission ID: SUB11067380).</p> <p> </p> <p><strong>Table S2. Tissues collected and scored for gross pathology. </strong>Tissues from head and neck lymph nodes (from the right and left sub-mandibular lymph nodes, the right and left medial retropharyngeal lymph nodes), thoracic lymph nodes (the right and left bronchial lymph nodes, the cranial tracheobronchial lymph nodes, the cranial and caudal mediastinal lymph nodes) and from lung lesions, were collected and scored.</p> <p> </p> <p><strong>Table S3. Log<sub>2</sub> fold-changes for insertions across the entire genome of <em>M. bovis</em> AF2122/97. </strong>Cells are coloured according to log<sub>2</sub> fold-change. Refer to the text for the gene groups in individual tabs.</p> <p> </p> <p><strong>Table S4. </strong>Custom transposon sequencing primers and adaptors used in sequencing of the transposon libraries.</p> <p> </p>
Vertebrate DNA damage tolerance requires the C-terminus but not BRCT or transferase domains of REV1: Additional Files
<p>Additional information for Ross et al. (2005) Vertebrate DNA damage tolerance requires the C-terminus but not BRCT or transferase domains of REV1 published in Nucleic Acids Research Volume 33, Issue 4 doi:10.1093/nar/gki279, requested by an anonymous poster on PubPeer.</p> <p>A description of the individual files can be found in the README.txt file</p>
D1.2 Requirements and needs of scientific communities from ICT-based Research Infrastructures (Dataset)
<p>A user survey was conducted between December 2020 and January 2021 gathering inputs from potential SLICES users from the research community. The survey was distributed among the research community to identify the technological domains, the use cases, the requirements and other expectations from the future users of the SLICES research infrastructure. This dataset contains the results of the survey; 226 people participated.</p>
Preprocessed dataset required to reproduce Supplementary Figure S6VW
<p>These files are required to reproduce the supplementary figure S6VW of the paper.</p> <p>The DataOverview_SF6VW provides Animal_IDs and recording dates.</p> <p>For each Animal_ID in the DataOverview this dataset contains:</p> <p>1) The pre-processed photometry data of the CoT session (filename: mouseID_date_smoothed_signal.npy) </p> <p>2) A dataframe containing all relevant behavioural events and time stamps of the CoT session (filename: mouseID_date_restructured_data.pkl)</p> <p>3) The pre-processed photometry data of the random-white-noise ('RWN') (filename: mouseID_date_RWN_smoothed_signal.npy) </p> <p>4) A dataframe containing all relevant events and time stamps of the RWN session (filename: mouseID_date_RWN_restructured_data.pkl)</p> <p>The RWN was recorded right after the CoT session. In this case the CoT session contained a small subset of trials with large rewards and omissions ('LRO'). These trials are excluded in the analysis of the APE signal. </p>
Geoscience undergraduate major course requirements
<p>This data compilation contains course requirements for undergraduate geoscience majors in Earth Science departments at 50 R1 universities in the United States. The authors of this compilation (Ken Ferrier, Eva Golos, and Marianne Haseloff at the University of Wisconsin-Madison) collected these data in March-April 2024 (n = 966 courses in total) from each department’s publicly accessible webpage. These data are organized in four tables, which contain data on the geoscience courses and credits required inside the home department and the cognate courses and credits required outside the home department (e.g., Math, Physics, Chemistry).</p>
Open dataset for publication "Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems"
<p>This publication contains open dataset for the journal publication "Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems".</p> <p>The dataset contains the data extracted from 280 selected primary studies.</p> <p>The dataset includes the following data:</p> <ul> <li>study metadata (title, venue, publication year, authors, authors’ affiliation, abstract);</li> <li>challenges to regulatory compliance (direct excerpts from studies);</li> <li>categories of challenges to compliance;</li> <li>principles and practices (direct excerpts from text);</li> <li>categories of principles and practices;</li> <li>types of automation of principles and practices;</li> <li>involved stakeholders (direct excerpts from studies);</li> <li>categories of involved stakeholders;</li> <li>phase of the principle and practice life cycle for which involvement of stakeholders was considered;</li> <li>SDLC process areas covered by the study;</li> <li>regulations considered in the study;</li> <li>fields of regulations that were considered;</li> <li>domains of application that were considered;</li> <li>assessment of rigor and relevance of the study.</li> </ul>
Practitioners Interpretation of conditional Requirements
<p>This dataset contains (1) the survey protocol and (2) the survey responses of the study on how practitioners interpret conditional requirements. A readme provides guidance on how to comprehend the data.</p>
Category Theory Framework for Variability Models with Non-functional Requirements @ CAiSE 21
<p><strong>Your can watch this video in my Youtube channel:</strong></p> <p><strong><a href="https://youtu.be/rX50Q3fpMZE">https://youtu.be/rX50Q3fpMZE</a></strong></p> <p><strong>This is a Live Conference Presentation, please access and cite the published version of the respective publication:</strong></p> <p><strong><a href="https://doi.org/10.1007/978-3-030-79382-1_24">https://doi.org/10.1007/978-3-030-79382-1_24</a></strong></p> <p>In Software Product Line (SPL) engineering one uses Variability Models (VMs) as input to automated reasoners to generate optimal products according to certain Quality Attributes (QAs). Variability models, however, and more specifically those including numerical features (i.e., NVMs), do not natively support QAs, and consequently, neither do automated reasoners commonly used for variability resolution. However, those satisfiability and optimisation problems have been covered and refined in other relational models such as databases. Category Theory (CT) is an abstract mathematical theory typically used to capture the common aspects of seemingly dissimilar algebraic structures. We propose a unified relational modelling framework subsuming the structured objects of VMs and QAs and their relationships into algebraic categories. This abstraction allows a combination of automated reasoners over different domains to analyse SPLs. The solutions’ optimisation can now be natively performed by a combination of automated theorem proving, hashing, balanced-trees and chasing algorithms. We validate this approach by means of the edge computing SPL tool HADAS.</p>
Impact of Passive Voice in Requirements Engineering
<p>This repository contains instrumentation material and results for the experiment described in the paper "On The Impact of Passive Voice Requirements on Domain Modelling" by Henning Femmer, Jan Kucera, and Antonio Vetrò from Technische Universität München.</p>
IMAGS II Requirements Specification
<p>This repository contains the IMAGS II requirements specificiation described in "Din, C. Y., & Rine, D. C. (2013). Requirements Statements Content Goodness and Complexity Measurement. International Journal of Next-Generation Computing, 4(1)."</p>
Research data for Critical review of heat pump prototype operation and required modications
<p>In this dataset, the data of the first experimental test campaign of the CO2-ice heat pump is shared. The report, which analyzes the data and makes the necessary explanations, has already been shared as a "Critical review of heat pump prototype operation and required modifications (Deliverable: D5.5)".</p>
ΝEW ABC_ WP2 _ Task 2-1 Mapping the NEW ABC platform requirements_20230609_v1
<p>This data set consists of an analysis of users of existing platforms of other European projects, and the level of engagement they create, to inform the creation and successful use of NEW ABC project platform. This analysis will assess the number and typology of users who access these platforms and what kind of information and material is available to them. The data set will contain numerical and textual tabular data converted into digital format (survey made by online interviews with platform users), quantitative and qualitative data.</p> <p>Content of the files:</p> <ul> <li>file <strong><em>ΝEWABC_WP2_T2-1_Mapping the NEW ABC platform requirements_20230609_v1.csv </em></strong>contains a description of the data collected for each Horizon project relevant to the NEW ABC.</li> </ul> <p> </p> <ul> <li>file <strong>README_</strong><strong><em> ΝEWABC_WP2_T2-1_Mapping the NEW ABC platform requirements_20230609_v1.rtf</em></strong> contains basic information on the dataset uploaded.</li> </ul>
Health-Watcher Requirements Document
<p>This repository contains the Health-Watcher Requirements Document, a requirements specification for a city hall public health system developed jointly by academic and industrial contributors for research purposes.</p>
Dataset - Survey results - Applying Model-based Requirements Engineering in AIDOaRt Collaborative Project
<p>This dataset and its associated report contain the results of an online survey on using a model-based requirements engineering approach in AIDOaRT project in 2022.</p>
Raw data for Kierdorf et al, "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila"
<p>This upload contains the raw data corresponding to the publication "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila" by Katrin Kierdorf et al., eLife 2020.</p>
Code and data required to run examples in MBHdesign description paper
<p>Code and data required to run examples in:</p> <p>Foster (2020) MBHdesign: an R-package for efficient spatial survey designs. Methods In Ecology and Evolution</p> <p>The Hippolyte data are originally sourced from </p> <p>Spinoccia, M. (2018). AusSeabed bathymetry holdings. Retrieved July 14, 2020, from http://pid.geoscience.gov.au/dataset/ga/116321</p> <p>The code is produced using the knitr::purl() function from the manuscript's Rmarkdown file.</p>
CORAL: A corpus of ontological requirements annotated with Lexico-Syntactic Patterns
<p>In this work we present CORAL (Corpus of Ontological Requirements Annotated with Lexico-syntactic patterns), an openly available corpus of 834 ontological requirements annotated and 29 lexico-syntactic patterns, from which 12 are proposed in this work. CORAL is openly available in three different open formats, namely, HTML, CSV and RDF.</p>
Policies of Research Institutions Requiring Open Access Depositing
<p>ROARMAP (http://roarmap.eprints.org) has been queried for policies of research institutions which require Open Access depositing of a version of all publications authored by their researchers. This data was needed to explain some of the outcomes of a study about the proportions of Open Access publishing in the European Research Area (ERA) as well as in Brazil, Canada, Japan and the USA (Archambault et al. 2014).</p>
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.