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47,155 results for “evaluations”
Data Set of the Thesis "Evaluation of Interaction Concepts in Virtual Reality Applications"
<p>This archive consists of videos files, log files and R tables on which the bachelor thesis 'Evaluation of Interaction Concepts in Virtual Reality Applications' by Hanna Holderied and subsequent publications are based. In addition to recorded data, it also contains the Unity VR application with which the case study of the thesis was performed. For details, please refer to the bachelor thesis published by the University of Goettingen, Institute of Computer Science.</p>
GUI evaluation data for an IDE command recommender system
<p>This dataset contains results of the study conducted among the participants of the XP 2016 (a scientific conference with a strong participation of practitioners from the industry). The objective of the study was to evaluate the acceptance and usability of the proposed Graphical User Interface (GUI) for an Integrated Development Environment (IDE) command recommender system (RS). The data was collected by the questionnaire and the interviews. The data is anonymized.</p> <p>Content:</p> <ul> <li>README.txt</li> <li>./Survey answers.csv - the questionnaire answers</li> <li>./Interviews <ul> <li>./interviewXXX.txt - a file with a transcribed interview</li> <li>./mapping-codes-to-primary-documents.csv - a binary table summarizing interviews</li> </ul> </li> </ul>
A Hybrid Focus Group for the Evaluation of Digital Scholarly Editions of Literary Authors
<p>Data from focus group conducted for DiXiT - Digital Scholarly Editions Initial Training Network. </p> <p>We are studying the use of digital scholarly editions, by observing what users do in interaction with different editions. For this analysis, we chose three digital scholarly editions, designed tasks specific to these editions, confronted typical users with these tasks, and analysed the quality of use in relation to efficiency and effectiveness.</p> <p>The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013/ under REA grant agreement n° 317436.</p>
Experimental procedure for the paper Perceptual Evaluation of Source Separation for Remixing Music
<p>All the files you need to rerun the experiment described in the paper:</p> <p>H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley, "Perceptual Evaluation of Source Separation for Remixing Music," in 143rd Convention of the Audio Engineering Society, 2017.</p> <p>The actual stimuli are not part of this publication, but can be regenerated or be downloaded from https://doi.org/10.5281/zenodo.835182<br> </p>
Figures and data for the paper Perceptual Evaluation of Source Separation for Remixing Music
<p>Listening test results and figures for the paper:</p> <p>H. Wierstorf, D. Ward, R. Mason, E. M. Grais, C. Hummersone, M. D. Plumbley,<br> "Perceptual Evaluation of Source Separation for Remixing Music," in 143rd<br> Convention of the Audio Engineering Society, 2017.</p> <p>`fig02/data/` contains the results from single listeners and median results across<br> listeners.<br> `fig02/fig02.plt` is the code to regenerate `fig02/fig02.pdf`.</p> <p>`fig03/data/` contains average medians across all songs.<br> `fig03/fig03.plt` is the code to regenerate `fig03/fig03.pdf`.</p> <p>The listening test results were extracted from the raw data stored together with<br> the experimental procedure in https://doi.org/10.5281/zenodo.835191.<br> There the file `experiment/saves/ratings/analyze_results.py` can be run in order<br> to regenerate the result files provided with this publication.<br> </p>
Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet
This dataset repository contains the dataset that supports the study of Minder et al. (2024): Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet. The datasets in this archive include output from distributed simulations of the WRF Hydro model, output from point simulations with the Noah-MP land surface model, and manual and automated snow water equivalent (SWE) observations at New York State Mesonet (NYSM) station locations. The formatting and file naming conventions for each dataset are described in detail in the minder_etal_NWM_snow_dataset_ReadMe.pdf file.
Data from: Evaluating temporal turnover in avian species richness in a Mediterranean semiarid region: different responses to elevation and forest cover
<p><span><strong>Aim</strong>.</span><span> When studying the effects of global change on biodiversity, it is far more common for the effects of climate change and land-use changes to be assessed separately rather than jointly. However, the effects of land-use changes in recent decades on species richness in areas affected by climate change have been less studied. </span><span>We assess the temporal turnover in species richness of an avian community between a historical period and a modern one as a consequence of global change.</span></p> <p><span><strong>Location</strong>. </span><span>Semiarid Mediterranean ecosystem (Southeastern Spain). </span></p> <p><span><strong>Method</strong>.</span><span> We fitted a hierarchical multi-species occupancy </span><span>model for each period (</span><span>1991-1992, and 2012-2017)</span><span>, obtaining avian species-specific estimates of occupancy probability in relation to environmental covariates </span><span>(elevation and forest cover)</span><span>. </span><span>We analyze the relationships between changes in the bird community and environmental variables, analysing the temporal turnover of the species richness and the richness-based species-exchange ratio.</span> </p> <p><span><strong>Results</strong>.</span> <span>The estimated species richness accounting for detectability was higher than observed species richness, and decreased in the </span><span>more recent </span><span>period. Following our hypotheses, we observed a dual pattern of species richness increase associated with different elevations, showing different species turnover rates due to the joint effects of climate change and land-use change. There is a trend toward greater species richness with higher elevations that is associated with climate change, where the species turnover rate is low. Also, species richness increased towards lower elevations, but with a high turnover rate. The latter can be due to species expansions through</span><span>ou</span><span>t new habitat configurations in bordering forest systems associated with anthropic land-use changes. </span></p> <p><span><strong>Conclusions</strong>.</span><span> Our study is of great interest to understand the temporal turnover of avian species richness associated with areas experiencing both climate and land-use change.</span></p>
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java
<p>APIBench is the benchmark dataset APIBench released in the paper "<a href="https://yunpeng.site/files/apirec.pdf"><em>Revisiting, Benchmarking and Exploring APIRecommendation: How Far Are We?</em></a>". </p> <p>APIBench contains two sub-dataset for evaluating the performance of query-based and code-based API recommendation approaches, namely APIBench-Q and APIBench-C. Each sub-dataset has a Java version and a Python version.</p> <p>APIBench-Q contains 4,309 Python queries and 6,563 Java queries collected from Stack Overflow posts generated from Aug 2008 to Feb 2021 and tutorial websites Geeks4Geeks, Java2s, and Kode Java in April 2021.</p> <p>APIBench-C contains 2,361 Python projects and 1,477 Java projects mined from GitHub in April 2021.</p> <p>Please read the <strong>README.md</strong> file for detailed information about the benchmark.</p> <p>The evaluation results of existing API recommendation approaches can be found in <a href="https://github.com/JohnnyPeng18/APIBench">this GitHub repository</a>.</p>
Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications
<p>Species distribution models are vital to management decisions that require understanding habitat use patterns, particularly for species of conservation concern. However, the production of distribution maps for individual species is often hampered by data scarcity, and existing species maps are rarely spatially validated due to limited occurrence data. Furthermore, community-level maps based on stacked species distribution models lack important community assemblage information (e.g., competitive exclusion) relevant to conservation. Thus, multispecies, guild, or community models are often used in conservation practice instead. To address these limitations, we aimed to generate fine-scale, spatially-continuous, nationwide maps for species represented in the North American Breeding Bird Survey (BBS) between 1992-2019. We generated ensemble models for each species at three spatial resolutions – 0.5, 2.5, and 5 km – across the conterminous United States. We also compared species richness patterns from stacked single-species models with those of 19 functional guilds developed using the same data to assess the similarity between predictions. We successfully modeled 192 bird species at 5-km resolution, 160 species at 2.5-km resolution, and 80 species at 0.5-km resolution. However, the species we could model represent only 28-56% of species found in the conterminous US BBS surveys across resolutions owing to data limitations. We found stacked maps and guild maps generally had high correlations across resolutions (median = 84%), but spatial agreement varied regionally by resolution and was most pronounced between the East and West at the 5-km resolution. The spatial differences between our stacked maps and guild maps illustrate the importance of spatial validation in conservation planning. Overall, our species maps are useful for single-species conservation and can support fine-scale decision-making across the United States, and can also support community-level conservation when used in tandem with guild maps. However, there are still data scarcity issues for many species of conservation concern when using the BBS for single-species models.</p>
Figure 1 in A new species of crown-antlered deer Stephanocemas (Artiodactyla, Cervidae) from the middle Miocene of Qaidam Basin, northern Tibetan Plateau, China, and a preliminary evaluation of its phylogeny
Figure 1. Map of Qaidam Basin showing surrounding mountains and major vertebrate fossil localities.
2DVD dataset for GMD publication - Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign
<p>This archive contains the 2DVD measurement of graupel particles used in the GMD paper "Simulated prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign".</p><p>For each identified graupel particle, the following are included:</p><ul><li>Volume-equivalent diameter (mm)</li><li>Density (g cm-3)</li><li>Fall velocity (m s-1)</li></ul>
Data regarding "Development and evaluation of RADA-PDGF2 self-assembling peptide hydrogel for enhanced skin wound healing"
<p>Raw data for data published in Development and evaluation of RADA-PDGF2 self-assembling peptide hydrogel for enhanced skin wound healing, Front. Pharmacol. Sec. Experimental Pharmacology and Drug Discovery Volume 14 - 2023 | <a href="https://doi.org/10.3389/fphar.2023.1293647">doi: 10.3389/fphar.2023.1293647</a></p>
Simulation data for paper "Evaluation of Fendiline Treatment in VP40 System with Nucleation-Elongation Process: A Computational Model of Ebola Virus Matrix Protein Assembly"
<p>This is the original simulation data sets for paper "Evaluation of Fendiline Treatment in VP40 System with Nucleation-Elongation Process: A Computational Model of Ebola Virus Matrix Protein Assembly".</p>
Data from: Evaluation of different bias correction methods for dynamical downscaled future projections of the California Current Upwelling System
<p class="Abstract">Biases in global Earth System Models (ESMs) are an important source of errors when used to obtain boundary conditions for regional models. Here we examine historical and future conditions in the California Current System (CCS) using three different methods to force the regional model: (1) interpolation of ESM output to the regional grid with no bias correction; (2) a "seasonally-varying" delta method that obtains a season-dependent mean climate change signal from the ESM for a 30-year future period; and (3) a "time-varying" delta method that includes the interannual variability of the ESM over the 1980–2100 period. To compare these methods, we use a high-resolution (0.1˚) physical-biogeochemical regional model to dynamically downscale an ESM projection under the RCP8.5 emission scenario. Using different downscaling methods, the sign of future changes agrees for most of the physical and ecosystem variables, but the spatial patterns and magnitudes of these changes differ, with the seasonal- and time-varying delta simulations showing more similar changes. Not correcting the ESM forcing leads to amplification of biases in some ecosystem variables as well as misrepresentation of the California Undercurrent and CCS source waters. In the non-bias corrected and time-varying delta simulations, most of the ecosystem variables inherit trends and decadal variability from the ESM, while in the seasonally-varying delta simulation, the future variability reflects the observed historical variability (1980–2010). Our results demonstrate that bias correcting the forcing prior to downscaling improves historical simulations and that the bias correction method may impact the spatial and temporal variability of future projections. </p>
Data and code from Lamb et al., "Evaluating conservation units using network analysis: a sea duck case study"
<p>This file consists of data and code used to construct network models for scoters in North America and is associated with the manuscript "<strong>Evaluating conservation units using network analysis: a sea duck case study</strong>" published in Frontiers in Ecology and the Environment. </p><p> </p><p><strong>Continental scoter network mapping </strong>is the R script used to run analyses.</p><p> </p><p><strong>duck_nodes</strong> is the main datafile. Columns are organized as follows:</p><p>id - unique identifier</p><p>species - species from which the centroid was obtained (BLSC = black scoter, SUSC = surf scoter, WWSC = white-winged scoter)</p><p>stage - period of the annual cycle to which the centroid belongs (W = winter, B = breeding, S = spring staging, M = fall staging and molt, WM = winter migration, BM = breeding migration, MM = molt migration, SM = spring migration)</p><p>site - position of centroid within season (i.e., W1 = first site occupied during winter, W2 = second site occupied, etc.)</p><p>cycle - number of annual cycles following transmitter attachment (1 = first cycle after attachment, 2 = second cycle after attachment, etc.)</p><p>sex - sex of individual (M = male, F = female)</p><p>age - age of individual (HY = hatch year, SY = second year, TY = third year, ASY = after second year, ATY = after third year, AHY = after hatch year</p><p>capture_reg - general area where individual was captured</p><p>capture_subreg - specific region within capture region where individual was captured</p><p>lon - longitude of centroid</p><p>lat - latitude of centroid</p><p>duration - number of days spent at centroid</p><p>start - date of arrival at centroid</p><p>end - date of departure from centroid</p><p>jstart - Julian date of arrival at centroid</p><p>jend - Julian date of departure from centroid</p><p>season - season of annual cycle in which centroid occurred (W = winter, F = fall, B = breeding, S = spring)</p><p>year - calendar year in which centroid began</p><p>to - node in which centroid is grouped</p><p>from - node in which previous centroid is grouped (i.e., node in which indiviual was located before moving to present node)</p><p>to_sea - season of annual cycle in which centroid occurred</p><p>from_sea - season of annual cycle in which previous centroid occurred</p><p>type - movement type to centroid; the first letter represents the season (coded as in "season" column), and the second represents the nature of the movement (WD = dispersal within a season, M = migration among seasons)</p><p>type2 - same as "type", but with dispersal movements coded by the stage in which they occur (W = winter, B = breeding, SM = spring migration, WM = winter migration)</p><p>ew - capture location in eastern (east; Atlantic and Great Lakes) or western (west; Pacific) North America</p><p>count_ind_sp - total number of tracked individuals of the species represented by centroid</p><p>wt - base centroid weight (all centroids equal, deployments excluded)</p><p>wt_sp - species-adjusted centroid weight: for centroid <i>x</i> in species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids) × (1 / (<i>n </i>centroids in <i>s</i>))</p><p>wt_dur - duration-adjusted centroid weight: for centroid <i>x</i>, weight<i>x</i> = (days at centroid location) × 365-1</p><p>wt_ind - individual-adjusted centroid weight: for centroid <i>x</i> in individual<i> j</i>, weight<i>x</i> = 1 / (<i>n </i>centroids in <i>j</i>)</p><p>wt_ind_sp - individual and species adjusted centroid weight: for centroid <i>x</i>, individual <i>j</i>, and species <i>s</i>, weight<i>x</i> = (<i>N </i>centroids / (<i>N </i>species * <i>n</i> individuals in <i>s</i>)) × (1 / (<i>n </i>centroids in <i>j</i>))</p><p>wt_cap - capture location adjusted centroid weight: for centroid <i>x</i> and capture location <i>c, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> capture locations) / <i>n</i> centroids in <i>c</i></p><p>wt_ew - east-west adjusted centroid weight: for for centroid <i>x</i> and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / <i>N</i> regions) / <i>n</i> centroids in <i>r</i></p><p>wt_spew - species and east-west adjusted centroid weight: for centroid <i>x</i> species <i>s</i>, and region <i>r, </i>weight<i>x </i>= (<i>N </i>centroids / (<i>N</i> species × <i>N</i> regions)) / <i>n </i>centroids for species <i>s</i> in region <i>r</i></p><p>wt_indspew - individual, species, and east-west adjusted centroid weight: for centroid <i>x,</i> individual<i> j, </i>species <i>s</i>, and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for individual <i>j </i>× <i>n</i> individuals for species <i>s</i> in region <i>r</i>)</p><p>wt_spewcap - species, east-west, and capture location adjusted centroid weight: for centroid <i>x,</i> species <i>s</i>, capture location <i>c, </i>and region <i>r, </i>weight<i>x </i>= <i>N </i>centroids / (<i>N</i> species × <i>N</i> regions × <i>n</i> centroids for species <i>s</i> in capture location <i>c </i>× <i>n</i> capture locations for species <i>s</i> in region <i>r</i>)</p>
Evaluating Effects of Climate Change, Restoration Scenarios, and Hatchery Effects on Chinook Salmon in the Stillaguamish River Basin with the HARP Model
<p>Model code (R) to accompany the 2023 NOAA report "<strong>Evaluating Effects of Climate Change, Restoration Scenarios, and Hatchery Effects on Chinook Salmon in the Stillaguamish River Basin with the HARP Model</strong>"</p>
The Blockchain Trilemma: an Evaluation Framework (Replication Package)
<p>This repository contains essential data files used to generate graphs and statistics related to various blockchain ecosystems. These files are the result of aggregation and cleaning procedures applied to raw data collected from reputable sources within each respective blockchain network.<br> </p> <h2><strong>Transaction Per Second</strong></h2> <ol> <li><strong>Cardano</strong>: <ol> <li>Theoretical: 5.35</li> <li>Maximum: 5.74</li> </ol> </li> <li><strong>Solana</strong>:<br> <ol> <li>Theoretical: 710,000</li> <li>Maximum: 1763</li> </ol> </li> <li><strong>Arbitrum</strong>: <ol> <li>Theoretical: 40000</li> <li>Maximum: 3.09</li> </ol> </li> <li><strong>zkSync</strong>: <ol> <li>Theoretical: 2000</li> <li>Maximum: 0.521</li> </ol> </li> <li><strong>Polygon:</strong> <ol> <li>Theoretical: 7200</li> <li>Maximum: 101.97 </li> </ol> </li> <li><strong>Bitcoin</strong>: <ol> <li>Theoretical: 27</li> <li>Maximum: 4.53</li> </ol> </li> <li><strong>Ethereum</strong>: <ol> <li>Theoretical: 30</li> <li>Maximum: 19.86</li> </ol> </li> </ol> <h2>Nakamoto Coefficients</h2> <ol> <li><strong>arbitrum_aggregators.json</strong> <ol> <li><strong>Description:</strong> presents information on Arbitrum network aggregators' transaction count</li> <li><strong>Data Source: </strong>https://etherscan.io/apis</li> </ol> </li> <li><strong>cardano_stake.json</strong> <ol> <li><strong>Description:</strong> details stake-related data pertinent to the Cardano blockchain. For each exchange address the amount of holded stake</li> <li><strong>Data Source: </strong>https://pooltool.io/</li> </ol> </li> <li><strong>polygon_validators.json</strong> <ol> <li><strong>Description:</strong> provides insights into validators within the Polygon network. For each validator's name, the amount of held stake.</li> <li><strong>Data Source: </strong>https://wallet.polygon.technology</li> </ol> </li> <li><strong>solana_validators.json</strong> <ol> <li><strong>Description: </strong>provides information on validators operating within the Solana network. For each validator, the amount of held stake and details about the validator node.</li> <li><strong>Data Source: </strong>https://www.validators.app/</li> </ol> </li> <li><strong>zksync_validators.json</strong> <ol> <li><strong>Description: </strong>Contains data on validators associated with the zkSync protocol. For each validator's address, the amount of transactions processed.</li> <li><strong>Data Source: </strong>https://etherscan.io/apis</li> </ol> </li> </ol> <h2>Security Quantitative Evaluation</h2> <ol> <li><strong>Cardano</strong><br> <ol> <li>Cardinality of the smallest amount of nodes adding up to 33% of stake: 119</li> <li>33% Stake: 895,706,097.1264836 ADA</li> <li>ADA Value @ 13 Dec-2023 = 0.59</li> <li>Cost of Attack: 895,706,097.1264836 * 0.59 = 528,466,597.3046253 $</li> </ol> </li> <li><strong>Solana</strong> <ol> <li>Cardinality of the smallest amount of nodes adding up to 33% of stake: 18</li> <li>33% Stake: 126,950,233.4364128 SOL</li> <li>SOL Value @ 13 Dec-2023 = 71.78</li> <li>Cost of Attack: 126,950,233.4364128 * 71.78 = 9,112,487,756.06571 $</li> </ol> </li> <li><strong>Polygon</strong><br> <ol> <li>Cardinality of the smallest amount of nodes adding up to 33% of stake: 2</li> <li>33% Stake: 1,016,718,726.6246895 MATIC</li> <li>MATIC Value @ 13 Dec-2023 = 0.8317</li> <li>Cost of Attack: 1,016,718,726.6246895 * 71.78 = 845,604,964.9337542 $</li> </ol> </li> <li><strong>Ethereum</strong> <ol> <li>Cardinality of the smallest amount of nodes adding up to 33% of stake: 1</li> <li>33% Stake: 28907872.7327942/3 = 9,635,957.577598067 ETH</li> <li>ETH Value @ 08 Jan-2024 = 2133,90</li> <li>Cost of Attack: 9,635,957.577598067 * 2133,90 = 20,562,169,874.8365 $</li> </ol> </li> <li><strong>Bitcoin: </strong>$7.9 billion <a href="https://www.investopedia.com/terms/1/51-attack.asp#:~:text=4-,What%20Is%20a%2051%25%20Attack%3F,total%20hashing%20or%20validating%20power.">source</a></li> </ol>
Design for Measurement Uncertainty software and 1D instrument combination evaluations
Open the record for dataset details and reuse information.
Effect of the red uniform on the judgment of position or movement used in Wushu Routine, evaluated by practitioners of the modality
<p>Experiment 1 design was adopted a 2 (Color: red, blue) x 2 (Gender: male, female) ANOVA. 144 Participants were randomly assigned to four groups based on uniform color (red vs. blue) and practitioners' gender (male vs. female) in a 2 x 2 between-subject design according to the method of random number table. There were 36 male athletes and 36 female athletes in the red uniform group, and 36 male athletes and 36 female athletes in the blue uniform group. Experiment 2 used within-subjects design to conducted experiment separately for the blue and red groups. The female practitioners were randomly assigned to two groups according to the method of random number table and made ratings of the athletes once during the ovulation phase and once during the non-ovulation phase. The order in which the tasks were completed was balanced between subjects: Half of the females in the blue group were tested first during ovulation and then during non-ovulation; the other half were tested first during non-ovulation and then during ovulation. The red group did the same arrangement. They were instructed to look at each photograph for 5s and then rate the quality of the each athlete's movements. After scoring was completed, they were told to proceed to the questionnaire, which was designed to probe for awareness of the manipulation. Finally, look at the differences in the ratings of Wushu Routine athletes wearing different colored uniform by these different groups of participants, and whether the subjects in Experiment 1 would have been aware of color effect.</p><p>The results of Experiment 1 showed that both male and female athletes wearing red uniform (compared to blue uniform) received higher ratings, and the red effect was especially strong when male practitioners rated female athletes. The results of Experiment 2, in an all-female sample, showed that in most cases there was no difference in ratings made by women in the ovulation and non-ovulation phases of their menstrual cycle, with the exception of their ratings of male athletes wearing red; in this condition, women gave higher ratings when they were in the ovulation phase of their cycle.</p>
Evaluating the Translation of Cultural Realia in the Book of Mark from French into Ngiemboon
<p>This study titled Evaluating the translation of cultural realia in the Book of Mark from French into Ngiemboon is based on the premise that achieving equivalence is a major challenge for bible translators into African indigenous languages due to the cultural differences that exist between languages and the absence of existing equivalence in the target culture. The study therefore aimed at investigating the possible constraints in the translation of cultural referents in the Book of Mark from French into Ngiemboonas well as the strategies employed in overcoming them. Determining the effectiveness in the use of these strategies is the object of this study. The study employed an explicatory research design, which entails a careful, close and focused examination of a single major text in an attempt to understand one or more aspects of it (George, 2018, cited by Ningrum, 2020:1). The study is therefore descriptive and analytical. It is corpus-based and essentially qualitative, though the qualitative data has been analyzed quantitatively. Data was collected through a content analysis of both the source and the target language texts to identify cultural realia and how they have been rendered in the two languages under investigation. The collected data was analyzed using Toury's (1995) descriptive translation studies (DTS) method, and the findings were presented in tables, using frequency counts to determine the percentage of particular translation techniques, strategies, theories and approaches to overcome the constraints inherent in the translation of cultural realia from French into Ngiemboon. Findings reveal an agreeable level of success in the translation of cultural realia from the source language to the target language, with the translators mainly employing oblique translation strategies in their renderings, in a bid to make the message more accessible to the target language audience. Hence, they resorted more to domestication than foreignization, as observed in the percentages from the findings (that is, 83.4 and 16.6 percent respectively).</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.