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1,663 results for “BIAS”
bias_estimation_data
<p>Radio occultation data used in the project "Estimating the refractivity bias of Formosat-7/COSMIC-II GNSS Radio Occultation in the planetary boundary layer".<br> The data has been filtered from profiles to a compact netcdf4 file.</p>
machine translation bias
<p>Dataset and code for study investigating bias in machine translation</p>
Serial Dependence improves performance and biases confidence-based decisions
<p>We uploaded all the sessions in one file for each participant.<br> Each file contains a single matrix called “RESP1”.<br> The columns contain the following information:</p> <ul> <li>1<sup>st</sup>: Orientation of top stimulus.</li> <li>2<sup>nd</sup>: Orientation of bottom stimulus.</li> <li>3<sup>rd</sup>: 1 whether current top orientation was equal of previous top orientation; 2 whether current bottom orientation was equal of previous bottom orientation.</li> <li>4<sup>th</sup>: 0 whether top orientation was as right orientation. 1 whether top orientation was as left orientation.</li> <li>5<sup>th</sup>: orientation of left stimulus.</li> <li>6<sup>th</sup>: Stimulus chosen to judge (1 top; 2 bottom).</li> <li>7<sup>th</sup>: 1 whether chosen stimulus had same orientation of previous in the same position, otherwise 0.</li> <li>8<sup>th</sup>: Orientation response (1 left; 2 right).</li> <li>9<sup>th</sup>: 1 response correct, 0 response wrong.</li> <li>10<sup>th</sup>: Timestamp of start presentation of the stimulus.</li> <li>11<sup>th</sup>: Timestamp of end presentation of the stimulus.</li> <li>12<sup>th</sup>: Timestamp of chosen stimulus.</li> <li>13<sup>th</sup>: Timestamp of orientation judgment.</li> <li>14<sup>th</sup>: 1 whether variable stimulus was up or down (2).</li> <li>15<sup>th</sup>: Noise level of top stimulus.</li> <li>16<sup>th</sup>: Noise level of bottom stimulus.</li> <li>17<sup>th</sup>: 1 whether participant chosen the variable stimulus, otherwise 0.</li> <li>18<sup>th</sup>: 1 whether variable stimulus was a continuous stimulus, otherwise 0.</li> </ul>
Supporting Dataset for "Reducing a tropical cyclone weak-intensity bias in a global numerical weather prediction system"
<p>This archive supports the submission of "Reducing a tropical cyclone weak intensity bias in a global numerical weather prediction system" to Monthly Weather Review. It contains model configurations, the software used to create ensemble perturbations, the software used to compute the diagnostics discussed in the text, and the software use to plot figures.</p> <p>After downloading, the contents can be extracted using:</p> <blockquote> <p>tar -xzf idealtc1_archive-1.tgz</p> </blockquote>
Data and supplementary material for the paper "Development of an IntelliCage based Cognitive Bias Test for Mice."
<p>All raw data, R scripts for analysis and the supplementary material related to the paper "Development of an IntelliCage based Cognitive Bias Test for Mice." are available to the scientific public here. A preprint version of the paper will be published on bioRxiv. </p> <p>Version 2 contains R scripts, version 1 does not.</p> <p>Version 3: For better clarity, the data were saved as .ods files. Each .ods file contains the data for one developmental step. The R scripts are still available as .txt files. In addition, an ARRIVE checklist was added.</p> <p>Version 4: xlsx instead of ods fiels</p> <p>Version 5: Extended supplemet PDF file<br> Added GroupTwo_Entries and GroupThree_Entries txt files</p> <p>A pre-print version can be found at bioRxiv: https://www.biorxiv.org/content/10.1101/2022.10.19.512853v1 </p>
CIKM-21-Misbeliefs-and-Biases-in-Health-Related-Searches
<p>The data that was used in the paper <a href="https://webis.de/publications.html?q=bondarenko_2021e">Misbeliefs and Biases in Health-Related Searches</a>, published at the CIKM 2021 conference.</p>
Bias corrected era5 skin temperature over the Arctic sea ice – 1981 to 2018 monthly means and climatology
<p>This dataset is generated in the context of the peer-reviewed study of Zampieri et al., 2023. The users can find a detailed description of the bias correction strategy and information on the scientific value of the dataset in the paper. Please, do not hesitate to contact me to obtain further information and suggestions on how to employ this dataset for your specific purpose. </p> <p><strong>References:</strong></p> <p>Zampieri, L.,<strong> </strong>Arduini, G., Holland, M., Keeley, S., Mogensen, K., Shupe, M., Tietsche, S. (2023) A machine learning correction model of the winter clear-sky temperature bias over the Arctic sea ice in atmospheric reanalyses. <em>Monthly Weather Review</em>. DOI:<a href="https://doi-org.cuucar.idm.oclc.org/10.1175/MWR-D-22-0130.1">10.1175/MWR-D-22-0130.1</a></p> <p><strong>Acknowledgments:</strong></p> <p>As part of the Virtual Earth System Research Institute (VESRI), funding for the Multiscale Machine Learning In coupled Earth System Modeling (M2LInES) project was provided to Lorenzo Zampieri by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program. </p>
Remote versus local impacts of energy backscatter on the North Atlantic SST biases in a global ocean model
<p>The data and scripts used to generate the figures in the manuscript "Remote versus local impacts of energy backscatter on the North Atlantic SST biases in a global ocean model".</p>
Naturalization of introduced plants is driven by life-form-dependent cultivation biases
<p><em>Aims: </em></p> <p>Most naturalized plants are escapees from cultivation. Inventories of cultivated introduced species thus offer unique, still underutilized, opportunities to assess naturalization drivers of introduced plants. We used a comprehensive inventory of 13,718 introduced species cultivated in China's botanical gardens to test which species characteristics distinguish the 739 species that have naturalized.</p> <p><em>Locations:</em> China.</p> <p><em>Methods: </em></p> <p>We used generalized linear models to test whether the naturalization of cultivated introduced plants in China is associated with functional traits, propagule pressure, environmental niche, and introduction history. To test direct and indirect effects of those variables and their relative importance in driving naturalization, we used structural equation models.</p> <p><em>Results: </em></p> <p>We showed that species were more likely to naturalize when they originate from the Americas, are more widely cultivated, and have a longer residence time. Moreover, species were more likely to naturalize if they have a good environmental match, are short-lived herbs, are predominantly propagated from seeds, and, in the case of herbs, are relatively tall compared to other herbs. Part of the latter effects are mediated by how these variables relate to propagule-pressure proxies, and this varies among short-lived herbs, long-lived herbs and woody plants. Main conclusions: Naturalization is partly driven by life-form-dependent cultivation biases.</p>
Adjusting for bias in biodiversity monitoring data
<p>Supporting information to Boyd et al. (2023, <i>Ecology</i>, forthcoming). Includes code to conduct bias adjustments and data supporting the article. </p>
Targeting Bias to Reduce Disparities in End of Life Care
ClinicalTrials.gov study NCT05165888. IPD Sharing: YES. Countries: 1. Publications: 35.
Data from: The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function
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Data for: Five decades of data yield no support for adaptive biasing of offspring sex ratio in wild baboons (Papio cynocephalus)
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Once an optimist, always an optimist? Studying cognitive judgment bias in mice
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The new normal? Redaction bias in biomedical science
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Sampling bias exaggerates a textbook example of a trophic cascade
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Population size differences can lead to biases in phylogenetic inference and introgression detection in the presence of purifying selection
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DNA methylation-based age prediction and sex-specific epigenetic aging in a lizard with female-biased longevity
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Data from: Sex-biased cooperation among immature peers: It matters who helps whom
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Temporal trends in the spatial bias of species occurrence records
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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.