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47,155 results for “evaluations”
EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation
<p>The EvaNIL dataset can be used to train or evaluate approaches developed for NIL entity linking. It was built from several Biomedical and Life Sciences corpora:</p> <ul> <li>PubMed DS</li> <li>CRAFT corpus</li> <li>MedMentions</li> </ul> <p>These corpora contain entities associated with knowledge base concepts. To build the EvaNIL dataset, we assumed that those knowledge base concepts did not exist in the respective knowledge bases, so each entity is associated instead with the direct ancestors of those original concepts.</p> <p>The EvaNIL dataset is divided into 6 partitions including annotations from several knowledge bases:</p> <ul> <li>"medic" (CTD-MEDIC)</li> <li>"ctd_anatomy" (CTD-Anatomy)</li> <li>"ctd_chemicals" (CTD-Chemicals)</li> <li>"chebi" (ChEBI)</li> <li>"go_bp" (GO-Biological Process)</li> <li>"hp" (HPO)</li> </ul> <p> </p>
Evaluation data of FrODO
<p>This datasets contains the CSV files with all the data recorded during the evaluation of FrODO in terms of.</p> <ul> <li>ontology metrics;</li> <li>times;</li> <li>SUS. </li> </ul>
Software product quality evaluation questionnaire for IoT LCDP&MDE
<p>This dataset contains the questionnaire used to assess the quality of LCDP and MDE tools in line with the ISO/IEC 25010:2011 product quality standard.</p>
A Multi-domain Benchmark for Personalized Search Evaluation
<p>We provide large-scale multi-domain benchmark datasets for Personalized Search.</p> <p>Further information can be found <a href="https://github.com/AmenRa/a-multi-domain-benchmark-for-personalized-search-evaluation">here</a>.</p>
Functional diversity of macroinvertebrates as a tool to evaluate wetland restoration
<p><span><span><span>Ecological restoration of aquatic ecosystems has become widespread in recent decades. Whereas the recovery of biodiversity in restored wetlands has been studied from a taxonomic perspective, our knowledge of how functional biodiversity recovers remains poorly understood. </span></span></span></p> <p><span><span>We studied the functional diversity of macroinvertebrate communities in 32 Mediterranean temporary ponds six to seven years after their creation during a restoration in South-West Spain, and compared them with 10 natural reference sites during two consecutive hydroperiods. We compared alpha functional diversity indices, and the individual contributions of new ponds and reference sites to the regional functional beta diversity, as well as to its turnover and nestedness components. We also investigated the influence of environmental and spatial variables on the dissimilarities of functional beta diversity and its components between new ponds and reference sites. </span></span></p> <p><span><span>Alpha functional diversity in new ponds was lower than in reference sites. Although the contribution of new ponds to the regional functional beta diversity was similar to that of reference sites, the latter contributed more to functional turnover, while new ponds contributed more to functional nestedness. </span></span></p> <p><span><span>Dispersal limitation coupled with environmental filtering structured the functional variation in communities between new ponds and reference sites, but their relative importance differed between beta components. New ponds can hold species with unique functional compositions, but their contribution to the regional functional beta diversity was mostly due to trait losses with respect to reference sites. </span></span></p> <p><span><span><b><i>Synthesis and applications</i></b>. Considering different aspects of functional diversity of invertebrate communities can help elucidate the processes and mechanisms through which ecosystems recover following restoration. We encourage the use of trait-based approaches to identify trends in processes and patterns that can guide future wetland restoration projects.</span></span></p>
Galaxy Training Data for "Evaluating and ranking a set of pathways based on multiple metrics"
<pre>This dataset provides the inputs needed for the Galaxy Pathway Analysis workflow training tutorial (<a href="https://galaxy-synbiocad.org">https://galaxy-synbiocad.org</a>). This workflow asseses the performance of predicted pathways by computing 4 criteria (target product flux, thermodynamic feasibility, pathway length, and enzyme availability). A score inform the user about the best candidate pathways to produce a compound of interest. The generated output is a collection of scored and ranked heterologous pathways. The content of the dataset is as follows: - A set of pathways provided in the SBML format (Systems Biology Markup Language) to be ranked, modeling heterologous pathways such as those outputted by the RetroSynthesis workflow (<a href="https://galaxy-synbiocad.org">https://galaxy-synbiocad.org</a>). - The GEM (Genome-scale metabolic models) which is a formalized representation of the metabolism of the host organism (the model is E. coli iML1515), provided in the SBML format.</pre>
Replication Package for "Evaluating the layout quality of UML class diagrams using machine learning"
<p>Open Science material including dataset and replication instructions accompanying the article "Evaluating the layout quality of UML class diagrams using machine learning."</p>
Evaluating CO2 breakthrough in a shaly caprock material: a multi-scale experimental approach
<p>These are image datasets analysed in the publication "Evaluating CO2 breakthrough in a shaly a caprock material: a multi-scale experimental approach" by Stavropoulou and Laloui in 2022 in Scientific Reports, DOI: https://doi.org/10.1038/s41598-022-14793-8</p> <ol> <li>File 1 contains the 3D reconstructed x-ray tomography volumes analysed in the paper in bin 2. Note that image registration has to be performed before further analysis for accounting rigid body deformations (rotation and translation) that may have taken place between the scans during cell transport. All registrations have been performed using as reference scan 01.<br> </li> <li>FIle 2 contains the results of the digital volume correlation performed with the <a href="https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html">spam</a> tookit.</li> </ol>
Historic data of the national electricity system transitions in Europe in 1990–2019 for retrospective evaluation of models [dataset]
<p>This data package supports empirical analysis of national electricity system transitions and retrospective evaluation of electricity system models in 1990–2019 in 31 European countries, including the EU27, Switzerland, Iceland, Norway, and the United Kingdom. The data package covers two types of content. Firstly, we provide an annotated list of 528 original data sources and references relevant for retrospective electricity system modeling with emphasis on open-access sources. Secondly, we provide a total of 1359 processed and harmonized data files in a format that is suitable as inputs to electricity system models. Four types of data files are included for each country: (i) a country file documenting national demand and economic data, (ii) technology files describing techno-economic data for each major generation technology in the country's electricity mix, (iii) resource files describing fuel prices and CO2 emissions for each fuel, and (iv) load profiles describing 24-hour national load curves for each available year. We provide these data files as comma-separated files to enable their wider reuse for retrospective evaluation of models as well as for empirical analyses of the European electricity system transitions. </p>
Patient and GP experiences of implementing a medication review intervention in older people with multimorbidity: process evaluation of the SPPiRE trial
<p>Abstract</p> <p><strong>Background: </strong>The SPPiRE cluster randomised controlled trial (RCT) found that a GP delivered medication review that incorporated screening potentially inappropriate prescriptions (PIP), a brown bag review and a patient priority assessment, resulted in a significant but small reduction in the number of medicines and no significant reduction in PIP.</p> <p><strong>Objective: </strong>To explore the experiences of GPs and patients engaged in the SPPiRE intervention and the potential for system wide implementation.</p> <p><strong>Design: </strong>Mixed methods process evaluation; quantitative data was collected from the SPPiRE intervention website and qualitative data via semi-structured interviews.</p> <p><strong>Setting and participants:</strong> 51 general practices throughout Ireland, and 404 participants with multimorbidity aged ≥65 years, prescribed ≥15 medicines participated in the RCT. Qualitative data was collected with purposive samples of intervention GPs (18/26) and patients (27/208). </p> <p><strong>Methods: </strong>Quantitative data was analysed descriptively, qualitative data thematically and both were integrated using a triangulation protocol.</p> <p><strong>Results: </strong>The analysis generated three themes, intervention implementation, mechanisms of action, and both were underpinned by the theme of context. One fifth of patients had no review, primarily due to insufficient GP time. The brown bag review component resulted in the most deprescription of medications. GPs felt it easier to change medicines if the patient was well known to them, and patients were generally receptive to change. GPs identified lack of integration into practice software systems and resources as barriers to future implementation.</p> <p><strong>Conclusion: </strong>Consideration of implementation of successful interventions is key to informing policy and integration into clinical practice. GPs and patients viewed the intervention positively, but implementation will depend on resourcing and integration into practice software systems.</p> <p>Trial registration number: <a href="https://doi.org/10.1186/ISRCTN12752680">ISRCTN12752680</a></p>
Datasets for "Evaluating the performance of a Picarro G2207-i analyser for high-precision atmospheric O2 measurements"
<p>These data files contain the data used in the manuscript "Evaluating the performance of a picarro G2207-i analyser for high-precision atmospheric O2 measurements" submitted to Atmospheric Measurement Techniques. </p> <p>WAO_G2207i_O2_calibrated_AM_all : Calibrated O2 measurements from the G2207-i during the no-drying, partial-drying, and full-drying periods at WAO, for both the water-corrected and non-water corrected outputs</p> <p>CRAM_lab_run1_noRT : calibrated O2 measurements for the first run of cylinder gases in the CRAM lab, UEA, without reference tank correction</p> <p>CRAM_lab_run1_wRT : calibrated O2 measurements for the first run of cylinder gases in the CRAM lab, UEA, with reference tank correction applied</p> <p>CRAM_lab_run2_noRT : calibrated O2 measurements for the second run of cylinder gases in the CRAM lab, UEA, without reference tank correction</p> <p>CRAM_lab_run2_wRT : calibrated O2 measurements for the second run of cylinder gases in the CRAM lab, UEA, with reference tank correction applied</p>
Evaluating the summer landscapes of predation risk and forage quality for elk (Cervus canadensis)
<p>These data accompany the paper "Evaluating the summer landscapes of predation risk and forage quality for elk (<em>Cervus canadensis</em>)", and are the unscaled version of the second- and third-order resource selection data sets for elk. Each data set consists of 6 columns: elkid (a unique identifier for every individual), used (an indicator: 0 = available sample, 1 = used sample), year, de (modeled digestible energy), lion (predicted relative probability of selection for mountain lions) and wolf (predicted relative probability of selection for wolves).</p>
Evaluation of tools for the taxonomical classification of viruses
<p>50G (1942_50GL), 500G (1943_500GL) and 1000G (1752_1000GL) sets are simulated reads previously reported Tangherlini et al. [1], and represent large reads like contigs.</p> <p>FISH-I (FISH_1_Q_sS_dup_HNoM_RbNoM), PB3(PB3_Q_sS_dup_HNoM_RbNoM), I5-8(ISA32_R1_Q_CDhit_HmNoM_RbNoM and ISA32_R1_Q_CDhit_HmNoM_RbNoM) and 121-1 (ISA44_R1_Q_CDhit_HmNoM_RbNoM and ISA44_R1_Q_CDhit_HmNoM_RbNoM) sets are real metagenomics reads previously reported Taboada et al. [2,3].</p> <p>Eukaryotic, Prokaryotic, Unclassified, Bacterial and Human sets are simulated reads, generated by Grinder [4] software and represent short reads like those of Illumina technology.<br> </p>
RobotReviewer evaluation data (new test set)
<p>Includes 3,324 openly available PDFs (<em>rct_pdfs.zip</em>) with risk-of-bias annotations (<em>robotreviewer_eval_data.json</em>) from Cochrane systematic reviews. This data has not been used in the development of RobotReviewer and in this way represents a new, unseen test set. For each PDF/pubmed ID, Cochrane topics are also provided (<em>robotreviewer_topics.json</em>).</p>
Parents' Evaluation of Interaction between Robots and Children with Neurodevelopmental Disorders
<p>This presentation concerns the paper:</p> <p>Andreeva, A., Lekova, A., Simonska, M., Tanev, T. (2022). Parents’ Evaluation of Interaction Between Robots and Children with Neurodevelopmental Disorders. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds) Smart Education and e-Learning - Smart Pedagogy. SEEL-22 2022. Smart Innovation, Systems and Technologies, vol 305. Springer.</p> <p>It presents the evaluation of child-robot interaction in play-like structured speech and language therapy for children with neurodevelopmental disorders. It is organized like a group session. Participants are a speech and language therapist, a child and two robots that assist the therapeutic session: the humanoid robot NAO and its “friend” the emotion-expressive robot EMOSAN. Two engineers who developed and deployed the technical scenarios observe the process and control the robots. Researchers developed an online questionnaire for evaluation of interaction between the child and the robots. Parents of involved children with neurodevelopmental disorders stay in the room and they observe the robot-assisted session. Results show that children are interested in playing and learning with robots. There is a correlation between the type of children’s neurodevelopmental disorder and the use of verbal communication in interaction. According to parents’ answers of the questionnaire, most of the children liked to interact with robots during the play-like structured activities in the speech and language therapy session.</p>
Evaluating homophily of human PPI with respect to chromosomes
<p>Homophily/heterophily evaluation, expressed in terms of z-score values, is related to the human Protein-Protein Interaction Network (PPI), obtained from the STRING v11.5 database (<a href="https://string-db.org/">https://string-db.org</a>) setting standard threshold on edge score (T=700). Each protein occurring in the PPI was assigned to a class corresponding to the chromosome the related gene belongs to.</p> <p>A total of 23 classes (<em>chr1</em>, <em>chr2</em>, ..., <em>chr22</em>, <em>chrX</em>) were considered (excluding the class corresponding to chromosome Y because of the small number of genes occurring in the network).</p> <p>The homophily/heterophily nature of the network, with respect to chromosome classes, was evaluated through HONTO tool (<a href="https://github.com/cumbof/honto">https://github.com/cumbof/honto</a>).</p> <p>In other words, the tendency of proteins to preferentially interact with proteins whose genes are physically located on the same chromosome (homophily) or on different chromosomes (heterophily) was investigated and evaluated in terms of z-scores.</p> <p>Values related to intra (along the diagonal) and inter chromosomal interactions (other than the diagonal) are also reported as a heatmap.</p> <p>As one can observe, values occurring in the diagonal are clearly higher than values out of the diagonal, leading to assess a homophilic nature of the network, confirming the link between shared chromosome and interaction in the PPI.</p>
GENEA Challenge 2022 subjective evaluation data
<p>This zip archive contains user-study response data and associated analyses and analysis results from the GENEA Challenge 2022 (<a href="https://youngwoo-yoon.github.io/GENEAchallenge2022/">https://youngwoo-yoon.github.io/GENEAchallenge2022/</a>). The code was written by Gustav Eje Henter and is released under a Creative Commons Attribution 4.0 International license.</p> <p>If you use this material, please cite the following paper:</p> <p>Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM</p>
An Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining
<p>This upload contains the event logs, generated by L-Sim, on which the experiments of the related paper were performed.</p><p>The related paper is accepted in the journal Information Systems.</p>
GENEA Challenge 2022 objective evaluation data
<p>This Zenodo repository contains objective evaluation results for all test-set motion submitted by teams participating in the GENEA Challenge 2022.</p> <p> </p> <p>We caution the user that objective metrics are known to have poor correlation with actual, perceived motion quality. For definitions and explanations of the "Average jerk magnitude", "Average acceleration magnitude", and "Average Hellinger distance", please see the paper "Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation" by Kucherenko et al., published in the International Journal of Human–Computer Interaction in 2021. For a definition and explanation of the "Canonical correlation analysis (CCA) coefficient", see the paper "Speech-driven animation with meaningful behaviors" by <a href="https://www.sciencedirect.com/science/article/abs/pii/S0167639318300013?via%3Dihub#!">Sadoughi and Busso</a>, published in <a href="https://www.sciencedirect.com/journal/speech-communication">Speech Communication</a> in 2019. Code for computing these objective metrics is available through the challenge webpage.</p> <p> </p> <p>Attribution:</p> <p>If you use this material, please cite our latest paper on the GENEA Challenge 2022. At the time of writing (2022-08-10) this is our ACM ICMI 2022 paper:</p> <p>Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM.</p> <p>You can find the latest information and a BibTeX file on the project website:</p> <p><a href="https://youngwoo-yoon.github.io/GENEAchallenge2022/">https://youngwoo-yoon.github.io/GENEAchallenge2022/</a></p> <p> </p> <p>The material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt.</p> <p> </p> <p>To find more GENEA Challenge 2022 material on the web, please see:</p> <p>*<a href="https://youngwoo-yoon.github.io/GENEAchallenge2022/"> https://youngwoo-yoon.github.io/GENEAchallenge2022/</a></p> <p>*<a href="https://genea-workshop.github.io/2022/challenge/"> https://genea-workshop.github.io/2022/challenge/</a></p> <p> </p> <p>If you have any questions or comments, please contact:</p> <p>* The GENEA Challenge & Workshop organisers <genea-contact@googlegroups.com</p>
Preliminary Evaluation Data for adf-bdd v 0.2.4-beta.1
<p>A Dataset, containing runtimes of the adf-bdd solver and comparisons with other ADF-solvers.</p> <ul> <li>statistics_overview.csv contains the raw test-data</li> <li>xxx-{stb,com,grd}.csv contains further raw test-data</li> <li>ststs.ipynb is a python notebook to generate the evaluation of the raw data</li> <li>stats.html is a portable and viewable version of the notebook</li> <li>Used instances are taken from the benchmark set available at https://www.dbai.tuwien.ac.at/proj/adf/yadf/</li> </ul> <p>Note: more details on test environment can be found in the jupyter notebook and the html-file.</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.