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3,673 results for “practices”
Dataset and Questionnaire: Creation and Usage of Acceptance Criteria in Practice
<p>In 2021 we conducted an interview study and supplementary assessed datasets of user stories with acceptance criteria. The questionnaire for the interview study and the assessed open source data are in this upload.</p>
Indexing repositories: pitfalls and best practices
<p>Featured talk by Anurag Acharya, Distinguished Engineer, Google, at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana.</p>
Data from: Building communities of teaching practice and data-driven open education resources with NEON faculty mentoring networks
<p>With the growing availability and accessibility of big data in ecology, we face an urgent need to train the next generation of scientists in data science practices and tools. One of the biggest barriers for implementing a data-driven curriculum in undergraduate classrooms is the lack of training and support for educators to develop their own skills and time to incorporate these principles into existing courses or develop new ones. Alongside the research goals of the National Ecological Observatory Network (NEON), providing education and training are key components for building a community of scientists and users equipped to utilize large-scale ecological and environmental data. To address this need, the NEON Data Education Fellows program formed as a collaborative Faculty Mentoring Network (FMN) between scientists from NEON and university faculty interested in using NEON data and resources in their ecology classrooms. Like other FMNs, this group has two main goals: 1) to provide tools, resources, and support for faculty interested in developing data-driven curriculum, and (2) to make teaching materials that have been implemented and tested in the classroom available as open educational resources for other educators. We hosted this program using an open education and collaboration platform from the Quantitative Undergraduate Biology Education and Synthesis (QUBES) project. Here, we share lessons learned from facilitating five FMN cohorts and emphasize the successes, pitfalls, and opportunities for developing open education resources through community-driven collaborations.</p>
Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs
<p>Digital oblique photos of an approximately 2.0 km alongshore reach of seaward-facing coastal bluff faces on the Strait of Juan de Fuca, Washington State, were collected at least quarterly between 2016 and 2022. In total over 3900 photos were collected over 38 separate surveys. The photos were collected to support digital surface reconstructions using Structure-from-Motion (SfM) photogrammetry, and specifically to assess the quality of surfaces generated with photos collected using relatively simple techniques that could be accessible to community science programs. A secondary goal was to use the photos, and the digital surfaces generated with them, to evaluate patterns and rates of erosion on the bluff face. </p>
The Practical Value of Information Literacy in the Workplace
<p>This video was produced for an information literacy course at the University of Ottawa's École School of Information Studies (ÉSIS). It is shared as an open education resource to be (re)used to teach viewers about the value of information literacy in the workplace. The video aims to briefly outline workplace literacy expectations for novice job seekers wanting to increase their employability. The video’s objective is to make (under)graduate students aware of the key information literacy skills that employers are looking for in new hires, and provide some suggested resources to improve or acquire these skills. The video is meant to be a starting point to build on students' awareness of information literacy skills and how these skills will be valuable in the workplace. This builds on the core concept of "Information Has Value" from the Association of College & Research Libraries' <a href="https://www.ala.org/acrl/sites/ala.org.acrl/files/content/issues/infolit/framework1.pdf"><em>Framework for Information Literacy for Higher Education</em></a> (2015).<strong> </strong></p> <p>Learning objectives include knowing why an employee needs information, where and how information can be found, and how information is used and presented in the workplace.</p> <p>The video was produced using Microsoft PowerPoint, Canva, Slidesgo and Screencast-o-matic.</p> <p>The following references were used to inform the video content: </p> <p>Cheuk, B. (2008). Delivering business value through information literacy in the workplace. <em>Libri, 58</em>(3), 137–143. <a href="https://doi.org/10.1515/libr.2008.015">https://doi.org/10.1515/libr.2008.015</a> </p> <p>Geisinger, K. F. (2016). 21st century skills: What are they and how do we assess them? <em>Applied Measurement in Education, 29</em>(4), 245–249.<a href="https://doi.org/10.1080/08957347.2016.1209207"> https://doi.org/10.1080/08957347.2016.1209207</a></p> <p>Hamlett, A. (2021). Getting to work. <em>Journal of Information Literacy, 15</em>(2), 166–177.<a href="https://doi.org/10.11645/15.2.2857"> https://doi.org/10.11645/15.2.2857</a></p> <p>Hart Research Associates. (2015). <em>Falling short? College learning and career success. Selected findings from online surveys of employers and college students conducted on behalf of the Association of American Colleges & Universities</em>. <a href="https://dgmg81phhvh63.cloudfront.net/content/user-photos/Research/PDFs/2015employerstudentsurvey.pdf">https://dgmg81phhvh63.cloudfront.net/content/user-photos/Research/PDFs/2015employerstudentsurvey.pdf</a></p> <p>Head, A. J. (2012). Learning curve: How college graduates solve information problems once they join the workplace. <em>SSRN Electronic Journal</em>.<a href="https://doi.org/10.2139/ssrn.2165031"> https://doi.org/10.2139/ssrn.2165031</a></p> <p>Head, A. J. (2016). Staying smart: How today’s graduates continue to learn once they complete college. <em>SSRN Electronic Journal</em>.<a href="https://doi.org/10.2139/ssrn.2712329"> https://doi.org/10.2139/ssrn.2712329</a></p> <p>Head, A. J., Hoeck, M. V., Eschler, J., & Fullerton, S. (2013). What information competencies matter in today’s workplace? <em>Library and Information Research, 37</em>(114), 74–104.<a href="https://doi.org/10.29173/lirg557"> https://doi.org/10.29173/lirg557</a></p> <p>Hoffman, N. (2016). Guttman Community College puts “work” at the center of learning: An approach to student economic mobility. <em>Change, 48</em>(4), 14–23.<a href="https://doi.org/10.1080/00091383.2016.1198167"> https://doi.org/10.1080/00091383.2016.1198167</a></p> <p>Jewell, P., Reading, J., Clarke, M., & Kippist, L. (2020). Information skills for business acumen and employability: A competitive advantage for graduates in Western Sydney. <em>Journal of Education for Business, 95</em>(2), 88–105.<a href="https://doi.org/10.1080/08832323.2019.1610346"> https://doi.org/10.1080/08832323.2019.1610346</a></p> <p>Rainie, L., & Anderson, J. (2017). <em>The future of jobs and jobs training.</em> Pew Research Center. <a href="https://www.proquest.com/docview/1904675911?parentSessionId=ZC%2F3xfG3CZGmYbJM0fE4NhuW5HQPbFkfieMUZFD57mU%3D&pq-origsite=primo&">https://www.proquest.com/docview/1904675911?parentSessionId=ZC%2F3xfG3CZGmYbJM0fE4NhuW5HQPbFkfieMUZFD57mU%3D&pq-origsite=primo&</a></p>
Slow practice and tempo management strategies in instrumental music learning: Investigating prevalence and cognitive functions
<p>This dataset corresponds to the publication of the same title and the following DOI: <a href="https://doi.org/10.1177%2F03057356211073481">https://doi.org/10.1177/03057356211073481</a></p> <p>The dataset contains 3 excel files. The file named QuantiativeSurveyDataClean_withKey contains all collected, unprocessed, cleaned data variables from the quantitative questionnaire. This includes all variables used for the principle components analysis. The file named ANOVA_data contains the variables used for the ANOVA analyses, and the file named regression_data contains the variables used for the regressions analyses. In all three files, descriptions of the variables can be found in the sheet titled "key", and the data can be found in the sheet titled "data".</p>
Sound Art and Sensorial Perception: A Practice-based Study
<p>Supplementary data as body of work for the PhD thesis:<br> <a href="https://researchrepository.ucd.ie/handle/10197/12924">Sound Art and Sensorial Perception: A Practice-based Study</a></p>
Knowledge, experiences, and practices of women affected by female genital schistosomiasis in rural Madagascar
<p><strong><span>Background:</span></strong><span> Female genital schistosomiasis (FGS) is a neglected manifestation of urogenital schistosomiasis caused by <em>S. haematobium</em>. The disease presents with symptoms such as pelvic pain, vaginal discharge and bleeding and menstruation disorders, and might lead to infertility and pregnancy complications. The perspectives of women with FGS have not been studied systematically.</span></p> <p><strong><span>Methods:</span></strong><span><strong> </strong>We performed a qualitative study in the Ambanja district in Northwest Madagascar. FGS was diagnosed by colposcopy. Seventy-six women with FGS participated either in a focus group discussion (N=60) or in an individual semi-structured interview (N= 16). The data were analysed using Mayring´s qualitative content analysis. The aim of the study was to understand knowledge, experiences, and practices of women with FGS. </span></p> <p><span><strong>Results:</strong></span><span> Knowledge on how the disease is acquired varied and ideas on prevention remained vague. Patients suffered from vaginal discharge and pelvic complaints. Some women expressed unbearable pain during sexual intercourse and compared their pain to an open wound being touched. FGS considerably impaired women´s daily activities and their quality of life. Infertility led to resignation and despair, conflicts with the partner and to social exclusion from the community. Women fearing to sexually transmit FGS refrained from partnership and sexual relations. Many women with FGS reported stigmatisation. A coping strategy was to share strain with other women having similar complaints. However, concealing FGS was a common behaviour which led to social isolation and delayed health care seeking. </span></p> <p><strong><span>Conclusions:</span></strong><span> Our study underlines that FGS has an important impact on the sexual health of women and on their social life in the community. Our results highlight the importance of providing adequate health education and structural interventions, such as the supply of water and the provision of sanitation measures. Further, correct diagnosis and treatment of FGS in adolescent girls and women should be available in all <em>S. haematobium</em>-endemic areas. </span></p>
Practical guide to using Kendall's τ in the context of forecasting critical transitions
<p>Recent studies demonstrate that trends in indicators extracted from measured time series can indicate approaching to an impending transition. Kendall's τ coefficient is often used to study the trend of statistics related to the critical slowing down phenomenon and other methods to forecast critical transitions. Because statistics are estimated from time series, the values of Kendall'sτare affected by parameters such as window size, sample rate and length of the time series, resulting in challenges and uncertainties in interpreting results. In this study, we examine the effects of different parameters on the distribution of the trend obtained from Kendall's τ, and provide insights into how to choose these parameters. We also suggest the use of the non-parametric Mann-Kendall test to evaluate the significance of a Kendall'sτvalue. The non-parametric test is computationally much faster compared to the traditional parametric ARMA test.</p>
Genetic parentage reconstruction as a practical tool applied to aquaculture and restoration programs for the European flat oyster, Ostrea edulis
<p>Preserving and maximizing genetic diversity in conservation programs, including for restocking, are of high importance. The threatened European flat oyster (<em>Ostrea edulis</em>) is currently the subject of several applied conservation and restocking programs, but concerns have been raised over potential negative side effects of these programs, for example due to our limited knowledge about the genetic effects in natural populations of releasing offspring of hatchery origin. Here, we developed a cost-effective, easily applicable and highly reliable method to assess the genetic diversity and parental contributions in flat oyster hatchery production based on analyses of 17 microsatellite loci. We analyzed broodstock and hatchery-produced spat (total n = 289) and compared diversity to that in wild samples of adults and spat from the broodstock source in the Limfjorden (total n = 190). Based on four hatchery tank experiments, we found that five swarming events (larval releases) were characterized by a single maternal and multiple paternal contributions, and that the number of contributing parents varied greatly both among individual tanks, and between swarming events within tank. On average, the effective number of breeders was only one third of the actual broodstock size. Although the broodstock exhibited high genetic variation, the high reproductive skew resulted in produced seed representing only a relatively small subset of this variation. The work demonstrates potential impact of hatchery reared offspring on decreasing genetic diversity in wild populations, but also that genetic monitoring can be integrated in conservation programs to minimize negative effects on restoration and supplementary restocking programs that utilize hatchery reared spats to support natural populations.</p>
Training Data for Decision Tree Practical in reading-ml-chemistry repo
<p>This is a dataset that can be used to train a decision tree to predict the band gap of a material. The data is associated with a notebook for running the practical and it can be found at https://github.com/keeeto/reading-ml-chemistry.</p> <p> </p> <p>The data originally comes from the Materials Project.</p> <p> </p> <p>A new muon spectroscopy dataset is added. It is from - Machine learning approach to muon spectroscopy analysis - https://iopscience.iop.org/article/10.1088/1361-648X/abe39e/meta</p>
Multidecadal, continent-level analysis indicates agricultural practices impact wheat aphid loads more than climate change
<p><span>Temperature has a large influence on insect abundances, thus under climate change, identifying major drivers affecting pest insect populations is critical to world food security and agricultural ecosystem health. Here, we conducted a meta-analysis with data obtained from 120 studies across China and Europe from 1970 to 2017 to reveal how climate and agricultural practices affect populations of wheat aphids. H</span><span>ere</span><span> we showed that aphid loads on wheat had distinct patterns between these two regions, with a significant increase in China but a decrease in Europe over this time period. Although temperature increased over this period in both regions, we found no evidence showing climate warming affected aphid loads. Rather, differences in pesticide use, fertilization, land use, and natural enemies between China and Europe may be key factors accounting for differences in aphid pest populations. These long-term data suggest that agricultural practices impact wheat aphid loads more than climate warming. </span></p>
How have views on Software Quality differed over time? Research and practice viewpoints (Replication package)
<p>Theoretical and practical viewpoints on the quality of code snippets.</p>
Supplementary Material for the paper "Editing Support for Software Languages: Implementation Practices in Language Server Protocols"
<p>Supplementary material for the paper "Djonathan Barros; Sven Peldszus; Wesley K. G. Assunção; and Thorsten Berger. Editing Support for Software Languages: Implementation Practices in Language Server Protocols. In: 25th International Conference on Model Driven Engineering Languages and Systems (MODELS). 2022. ACM/IEEE."</p>
Data and R scripts for: Identifying existing management practices in the control of Striga asiatica within rice–maize systems in mid-west Madagascar
<p>Infestations by the parasitic weed genus <i>Striga</i> result in significant losses to cereal crop yields across sub-Saharan Africa. The problem disproportionately affects subsistence farmers who frequently lack access to novel technologies. Effective <i>Striga </i>management therefore requires the development of strategies utilising existing cultural management practices. We report a multi-year, landscape-scale monitoring project for <i>Striga</i> asiatica in the mid-west of Madagascar, undertaken over 2019-2020 with the aims of examining cultural, climatic and edaphic factors currently driving abundance and distribution. Long-distance transects were established across the middle-west region of Madagascar, over which <i>Striga asiatica</i> abundance in fields was estimated. Analysis of the data highlights the importance of crop variety and legumes in driving <i>Striga </i>density. Moreover, the dataset revealed significant effect of precipitation seasonality, mean temperature and altitude in determining abundance. A composite management index indicated the effect of a range of cultural practices on changes in <i>Striga </i>abundance<i>. </i>The findings support the assertion that single measures are not sufficient for the effective, long-term management of <i>Striga</i>. Furthermore, the composite score has potential as a significant guide of integrated <i>Striga </i>management beyond the geographic range of this study. </p>
Contributions of Open-loop and Closed-loop Control in a Continuous Tracking Task Differ Depending on Attentional Demands during Practice
<p>We provide tracking data of the analysed segments after filtering, cognitive performance data and indivdual force levels. To this end, the data set contains three zip-files of numbers of csv-files and an additional csv-file. In each csv-file, comma delimits information within the rows. Participant numbers range between 1 and 21 where the first 11 numbers always refer to the participants of the single-task training group and the final 10 numbers refer to the participants of the dual-task training group.</p> <p>The <em>IndividualForceMaximum.csv</em> includes separate rows of participant’s information about training group, individual force maximum, and the 10% value of the force maximum, which was important for adapting the required force to the individual applicable leg force.</p> <p>The <em>CognitiveTaskData.zip </em>contains four csv-files. Two files are for the <em>TEST</em> sessions, which include either the <em>total</em> number of responses or the number of <em>correct</em> responses per trial for each participant within a row. The other two files are for the <em>TRAINING</em> data (either <em>total</em> number of responses or number of <em>correct</em> responses) of the cognitive task for the participants of the dual-task training group. The file includes 15 trials of the first and the last five training days (i.e., days 1 to 5, and days 18 to 22). For each participant the training data is presented in a row.</p> <p>The tracking data is split with respect to the training groups in either the single-task training group, i.e., <em>MotorTaskData_SingleTaskTrainingGroup.zip</em>, or the dual-task training group, i.e., <em>MotorTaskData_DualTaskTrainingGroup.zip</em>. Each of the zip-files includes <em>TESTING</em> and <em>TRAINING</em> data in csv-files for each participant <em>P</em> separately. We further separated the <em>TEMPLATE</em> data and the <em>PERFORMANCE</em> data, i.e., for instance template test file of P1 corresponds with performance test file of P1. Each trial is presented in a row, where the header includes the segment information (i.e., first segment = 1, second segment = 2, and third segment = 3) for each data point. <em>TEST </em>data include trials with the practiced second segment and the catch trials with another second segment. <em>TRAINING</em> data include the 15 trials of the first and the last five training days (i.e., days 1 to 5, and days 18 to 22).</p>
Best_practices_database
<p>The file contains the best practices from the reports analysed in a scoping review on sustainability as seen from the news media industry think tanks. </p>
Collection of Extracted Data as part of the Publication "(Why) Do Taint Analyzers Fail in Practice? A Critical Literature Review"
<p>This document provides an extensive list of the data extraction process for the systematic literature review. This anonymous version is review-friendly for double-blinded peer reviews.</p>
3D Modeling and texturing practice 03
My third 3D Modeling and texturing practice. My take on Imanol Delgado Salazar's Tanvaasa Axe. Source: Objaverse 1.0 / Sketchfab
Surveys of Reporting Practices of Institutional Repositories
<p>This dataset contains the summary results of two surveys, which gathered data about the reporting practices for institutional repositories (IR). The surveys were completed by library directors and IR managers, and questions were asked about strategic importance, content scope, and the methods and mechanisms libraries utilize to evaluate and report on IR use and impact. </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.