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1,970 results for “CONCEPT”
New aesthetic in-house 3D-printed brackets: proof of concept and fundamental mechanical properties
<p>Dataset for all analyses</p>
The soundscape of swarming: Proof of concept for a non-invasive acoustic species identification of swarming Myotis bats
<p>Bats emit echolocation calls to orientate in their predominantly dark environment. Recording of species-specific calls can facilitate species identification, especially when mist-netting is not feasible. However, some taxa, such as Myotis bats are hard to distinguish acoustically. In crowded situations where calls of many individuals overlap the subtle differences between species are additionally attenuated. Here we sought to non-invasively study the phenology of <em>Myotis</em> bats during autumn swarming at a prominent hibernaculum. To do so we recorded sequences of overlapping echolocation calls (N=564) during nights of high swarming activity and extracted spectral parameters (peak frequency, start frequency, spectral centroid) and Linear Frequency Cepstral Coefficients (LFCCs) which additionally encompass the timbre (vocal 'colour') of calls. We used this parameter combination in a stepwise discriminant function analysis (DFA) to classify the call sequences to species level. A set of previously identified call sequences of single flying <em>Myotis</em> <em>daubentonii</em> and <em>Myotis</em> <em>nattereri</em>, the most common species at our study site, functioned as a training set for the DFA. 90.2% of the call sequences could be assigned to either <em>M</em>. <em>daubentonii</em> or <em>M</em>. <em>nattereri</em>, indicating the predominantly swarming species at the time of recording. We verified our results by correctly classifying a second set of previously identified call sequences with an accuracy of 100%. In addition, our acoustic species classification corresponds well to the existing knowledge on swarming phenology at the hibernaculum. Moreover, we successfully classified call sequences from a different hibernaculum to species level and verified our classification results by capturing swarming bats while we recorded them. Our findings provide the basis for a new non-invasive acoustic monitoring technique that analyses "swarming soundscapes" by combining classical acoustic parameters and LFCCs, instead of analysing single calls. Our approach for species identification is especially beneficial in situations with multiple calling individuals, such as autumn swarming.</p>
DATA: molecularly enhanced proof of concept for targeting cocrystals at molecular scale in continuous pharmaceuticals cocrystallization - part 2
<p>This is the cleansed files for CoCryM project carried out at the University of Limerick, Ireland for a MSCA postdoctoral fellowship. </p> <p>Link to PNAS paper <a href="https://www.pnas.org/doi/10.1073/pnas.2114277119">https://www.pnas.org/doi/10.1073/pnas.2114277119</a> </p> <p>(molecularly enhanced proof of concept for targeting cocrystals at molecular scale in continuous pharmaceuticals cocrystallization) </p> <p>Original uploaded files on 10 September 2021: </p> <ol> <li><a href="https://doi.org/10.5281/zenodo.6164838">https://doi.org/10.5281/zenodo.6164838</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189068">https://doi.org/10.5281/zenodo.6189068</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189100">https://doi.org/10.5281/zenodo.6189100</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189715">https://doi.org/10.5281/zenodo.6189715</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189885">https://doi.org/10.5281/zenodo.6189885</a></li> </ol> <p> </p> <p>Inhouse: https://sites.google.com/view/makhansary/publications </p>
Proof of Concept database with inputs and outputs of the Master thesis: Analyzing Software Delivery Performance behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics
<p>The software has become one of the main assets to deliver services today. Thus, software delivery has been dealing with a competitive and dynamic environment where the demand for faster and more assertive deliverables, called here Releases, only increases. Agile development methods emerged helping to accelerate software delivery, embracing industry and open source community. Since then, the software delivery frequency has expanded and improved bringing more adopters of rapid release cycles to reduce their time-to-market. However, using only rapid releases can not be enough as measuring software delivery can answer essential questions, like how software delivery is happening and how it should be. Some approaches for measuring software delivery appeared such as Software Delivery Performance (SDP) where software delivery is measured as a consequence of capabilities evolution. Popularity in Open Source Software Projects (OSSP) means that a project is mature enough in the community to fit the software demand and, therefore, is likely to be ready to be measured through a software delivery approach like SDP. In light of it, this work offers means to analyze SDP behavior in popular Open Source Software Projects on a Release timeline basis through delivery metrics. The results demonstrated that popularity is efficient filtering, as it improves the OSSP delivery, supporting the work's reliability and accuracy. The source code and methodology are published as a replication package to encourage reproducibility and future research.</p>
ClinSpEn Corpus: Parallel English-Spanish COVID-19 Clinical Cases, Terminology and Ontology Concepts
<p><strong>ClinSpEn Parallel Corpus Collection</strong></p> <p>This repository contains the <strong>complete</strong> <strong>ClinSpEn corpus collection</strong>, which was used for the <strong><a href="https://temu.bsc.es/clinspen">ClinSpEn shared task</a></strong> at Biomedical WMT 2022.</p> <p>ClinSpEn is a collection of <strong>Gold Standard EN-ES parallel corpora of different types of clinical data</strong>: case reports, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content. It includes development and test data translated by professional medical translators that can be used <strong>to train and benchmark clinical EN-ES machine translation systems</strong>. Additionally, monolingual background data is provided so that the systems' performance can be analyzed in unseen data.</p> <p>If you use this dataset, please cite:</p> <blockquote> <pre><code>inproceedings{biowmt22, title={Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports}, author={Neves, Mariana and Yepes, Antonio Jimeno and Siu, Amy and Roller, Roland and Thomas, Philippe and Navarro, Maika Vicente and Yeganova, Lana and Wiemann, Dina and Di Nunzio, Giorgio Maria and Vezzani, Federica and others}, booktitle={WMT22-Seventh Conference on Machine Translation}, pages={694--723}, year={2022} } </code></pre> </blockquote> <p><strong>Data Description</strong></p> <p>ClinSpEn proposes three different sub-tracks, each based on a different type of clinical data:</p> <p><em>1. Clinical Cases:</em></p> <p>Parallel EN-ES COVID-19 clinical case reports. The direction of this sub-track is EN>ES.</p> <p>The dataset’s case reports were carefully selected to cover a wide range of aspects related to the disease: different types of patients (children, adults, elderly and pregnant people, babies), different comorbidities (cancer, mental health issues, immunosuppressed patients) and symptomatology (mild and severe presentations, dermatologic, immunologic and psychiatric manifestations, thrombosis, ...). The reports were translated from English to Spanish by a professional medical translator on a first step and revised by a clinical expert on a second step.</p> <p>The sample (dev) set and test set are made up of parallel txt files (50 and 152 documents each, respectively), with the Spanish version having a “.es” extension and the English files having a “.en” extension. Each report has been parallelized so that every sentence’s line number corresponds to the same sentence’s line number in both languages.</p> <p>The background data (9,804 files) is made up of a TSV file with four columns: filename, document number, line number and English line. The clinical cases themselves include COVID-19 case reports as well as diverse content extracted from PubMed.</p> <p>If you need to map the entries in the join test + background document provided in earlier versions, you may use the "clinspen_clinicalcases_test-set_filename_mapping.tsv" file.</p> <p><em>2. Clinical Terminology:</em></p> <p>Parallel EN-ES clinical terms extracted from medical literature and clinical records, with particular focus on diseases, symptoms, findings, procedures and professions and translated and revised by professional medical translators. The direction of this sub-track is ES>EN.</p> <p>The sample (dev) set contains 7,000 terms as a tab-separated file (TSV), with the first column corresponding to English terms and the second column to Spanish terms.</p> <p>The test data (12,128 terms) is made up of a TSV file with three columns: term number, English term and Spanish term.</p> <p>The background data (201,890 terms) is made up of a TSV file with two columns: term number and Spanish term.</p> <p>The term number columns can be used to map the entries in the join test + background document provided in earlier versions.</p> <p><em>3. Ontology Concepts:</em></p> <p>Parallel EN-ES concepts extracted from various open biomedical ontologies and taxonomies and then manually translated by a professional medical translator. The direction of this sub-track is EN>ES.</p> <p>The sample (dev) data includes 400 concepts. The terms are presented as tab-separated file (TSV), with the first column corresponding to English terms and the second column to Spanish terms. The third column includes the term’s origin ontology and its correspondent ID (separated by an underscore), while the fourth one includes a link to the concept in OBO Library.</p> <p>The test data (1,789 concepts) is made up of a TSV file with five columns: term number, English term, Spanish term, ontology id and OBO library URL.</p> <p>The background data (299,408 concepts) is made up of a TSV file with four columns: term number, English term, ontology id and OBO library URL.</p> <p>The term number columns can be used to map the entries in the join test + background document provided in earlier versions.</p> <p> </p> <p><strong>Related Links:</strong></p> <ul> <li> <p>ClinSpEn website with more information: <a href="https://temu.bsc.es/clinspen/">https://temu.bsc.es/clinspen/</a></p> </li> <li> <p>WMT website: <a href="https://www.statmt.org/wmt22/">https://www.statmt.org/wmt22/</a></p> </li> </ul> <p><strong>License</strong></p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> <p><strong>Contact</strong></p> <p>If you have any question or suggestion, please contact us at the following addresses:</p> <p>- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)<br> - Darryl Estrada (<darrylestrada97 [at] gmail [dot] com>)<br> - Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)</p> <p> </p>
SKOS Datasets for Aligning INSEE Concepts
<p>This is the list of datasets used for the alignments of INSEE concepts.</p> <p>The Github repository at https://github.com/MondecaLabs/INSEE-Alignment presents the procedure and the results</p>
Replication Package: A Systematic Mapping Study on Security in Configurable Safety-critical Systems Based on Product-Line Concepts
<p><strong>Welcome to the public repository for the additional content of the paper "A Systematic Mapping Study on Security in Configurable Safety-critical Systems Based on Product-Line Concepts", accepted at the ICSOFT 2023.</strong></p> <p>This repository provides additional information to the conducted mapping study, including the following files:</p> <ul> <li>fetched_results_ICSOFT2023.csv: sheet containing all papers fetched from IEEEXplore, Scopus, and the ACM Guide to Computing Literature.</li> <li>excluded_paper.csv: sheet containing all excluded papers related to safety-critical systems but not referring to security.</li> <li>analysis_sheet_ICSOFT2023.csv: sheet containing information regarding the analysis results of 44 included papers based on the extraction criteria.</li> </ul>
Illustration of the IMRAD concept
<p>Illustration of the IMRAD concept, created for Open Educational Ressources provided for the Center for Reproducible Science at the University of Zurich.</p>
Aligning the percepts and concepts from a brief glance
<p>23/06/2023 Qualia Structure Meeting presentation: Aligning the percepts and concepts from a brief glance</p> <p>YouTube video: <a href="https://youtu.be/juK5huqGlCA">https://youtu.be/juK5huqGlCA</a></p>
The essential-use concept: a valuable tool to guide decision-making on applications for authorisation under REACH?
<p>Supporting Information from The essential-use concept: a valuable tool to guide decision-making on applications for authorisation under REACH?</p>
Data from: Historical biogeography supports Point Conception as the site of turnover between temperate East Pacific ichthyofaunas
<p>The cold temperate and subtropical marine faunas of the Northeastern Pacific meet within California as part of one of the few eastern boundary upwelling ecosystems in the world. Traditionally, it is believed that Point Conception is the precise site of turnover between these two faunas due to sharp changes in oceanographic conditions. However, evidence from intraspecific phylogeography and species range terminals do not support this view, finding stronger biogeographic breaks elsewhere along the coast. Here I develop a new application of historical biogeographic approaches to uncover sites of transition between faunas without needing an <em>a priori</em> hypothesis of where these occur. I used this approach to determine whether the point of transition between northern and southern temperate faunas occurs at Point Conception or elsewhere within California. I also examined expert-vetted latitudinal range data of California fish species from the 1970s and the 2020s to assess how biogeography could change with the backdrop of climate change. The site of turnover was found to occur near Point Conception, in concordance with the traditional view. I suggest that recent species- and population-level processes could be expected to give signals of different events from historical biogeography, possibly explaining the discrepancy across studies. Species richness of California has increased since the 1970s, mostly due to species's ranges expanding northward from Baja California (Mexico). Range shifts under warming conditions seem to be increasing the disparity between northern and southern faunas of California, creating a more divergent biogeography.</p>
figure of habitus (Palma, 1863) fits the concept of Merodon aberrans. in Integrative taxonomy of the Merodon aberrans (Diptera, Syrphidae) species group: distribution patterns and description of three new species
figure of habitus (Palma, 1863) fits the concept of Merodon aberrans.
Data for Reserach titled "Exploring Scientific Reasoning and Genetics Self-efficacy as Predictors of Secondary School Students' Achievement in Genetics Concepts"
<p>This dataset is for the research article titled Exploring Scientific Reasoning and Genetics Self-efficacy as Predictors of Secondary School Students’ Achievement in Genetics Concepts. The data were collected using three instruments (Lawson’s Classroom Test of Scientific Reasoning (r = 0.76), adopted from the Lawson's Classroom Test of Scientific Reasoning designed by Lawson in 2000; Self-efficacy in Genetics Concepts Scale (@ = 0.88),adapted from Schwarzer and Jerusalem (1995) General Self Efficacy Scale and Biology Self-Efficacy developed by Baldwin, Ebert-May and Burns (1999); and Students’ Achievement Test in Genetics Concepts (r = 0.78), self-designed by the athors) from 336 Secondary School Two (SS2) biology students selected from nine secondary schools randomly selected from three local government areas in Oyo State. SPSS version 26 was employed as the statitsical software, while data collected were subjected to mean, standard deviation, percentages, ANOVA and Multiple regression analysis at 0.05 level of significance.</p>
Selected references for analyzing the urban metabolism term and the urban metabolism concept
<p>This file contains textual data and metadata collected within the framework of a research project on the concept of urban metabolism headed by Professor Daniela Perrotti and supported by the Belgian Fund for Scientific Reseach F.R.S-FNRS under Grant n° MIS-F.4536.22. </p> <p> </p>
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
Dataset provided for NeuroLibre preprint. Author repo: https://github.com/pbellec/editorial_parcellation NeuroLibre fork:https://github.com/roboneurolibre/editorial_parcellation <p>For details, please visit the corresponding <a href="https://github.com/neurolibre/neurolibre-reviews/issues/10">NeuroLibre technical screening.</a></p> <p><strong><a href="https://neurolibre.org">https://neurolibre.org</a></strong></p>
The Cathedral of the Immaculate Conception
The first Catholic Church in Port of Spain was built in 1781 by the Spanish governor Martin de Salverria on the site that is now known as Tamarind Square.The English governor Sir Ralph Woodford decided to build a church better suited to the growing and predominantly Catholic population. Plans were drawn by the governor's secretary, Phillip Renagle, and the foundation stone was laid on 24 March 1816. The new church was located west of the existing church at the eastern end of what was MARINE Square, one Independence Square.The building was laid out in the shape of a Latin cross and built of blue metal from the Laventille quarries, with iron framework from England for the doors and windows. Text provided by Olga J. Mavrogordato Source: Objaverse 1.0 / Sketchfab
Knight - Concept Chess
Vietnamese Feudalism Concept Chess The courage Horse and the lucky Fish Source: Objaverse 1.0 / Sketchfab
A Proof-of-Concept Study of Faricimab (RO6867461) in Participants With Choroidal Neovascularization (CNV) Secondary to Age-Related Macular Degeneration (AMD)
ClinicalTrials.gov study NCT02484690. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Neuromodulation Enhanced Cognitive Restructuring: A Proof of Concept Study
ClinicalTrials.gov study NCT02573246. IPD Sharing: NO. Countries: 1. Publications: 5.
Project ADHERE: Clinical Proof-of-Concept of a Tenofovir (TFV) Aptamer-Based Biosensor
ClinicalTrials.gov study NCT04870671. IPD Sharing: NO. Countries: 1. Publications: 3.
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.