Find research datasets worth reusing

Code of "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation"

Code used to prepare a paper entitled "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation" which was submitted to Hydrology and Earth System Sciences.

Part 1: Differential ADAR editing landscapes during fetal development

ADAR editing is a critical part of human brain development. Here we explore ADAR editing patterns in early development by studying human embryonic stem cells (hESC) that are differentiated into mesothelium, endothelium, neural crest cells, and pre-neural crest cells. To further explore fetal development we also used a study with fetal brain samples from 5 condensed regions and 3 gestational time points. We track editing patterns during these gestational weeks to study normal brain development to help understand the role of editing in neurodevelopmental, degenerative, and psychiatric disorders. These can potentially be used for clinical biomarkers. This is part 1 of the final vcf files for predicting RNA editing events in germ layer differentiation and early fetal development.

The effect of harbor developments on future high-tide flooding in Miami, Florida. Accompanying data.

List of available data:  - Historical documents with tidal range measurements in the Biscayne Bay - Geo-referenced tif files of US Coast Survey chart no. 165 (1895) and NOAA US Coast Survey chart no. 11468 (2017) - Water level series projected through 2100 at the South Florida Water Management District gauge MRMS4 (mat files)

Part 2: Differential ADAR editing landscapes during fetal development

ADAR editing is a critical part of human brain development. Here we explore ADAR editing patterns in early development by studying human embryonic stem cells (hESC) that are differentiated into mesothelium, endothelium, neural crest cells, and pre-neural crest cells. To further explore fetal development we also used a study with fetal brain samples from 5 condensed regions and 3 gestational time points. We track editing patterns during these gestational weeks to study normal brain development to help understand the role of editing in neurodevelopmental, degenerative, and psychiatric disorders. These can potentially be used for clinical biomarkers. This is part 2 of the final vcf files for predicting RNA editing events in germ layer differentiation and early fetal development.

Development of classifier of engagement in occupation with machine learning (CEOML) for quantifying context

These are the raw data, code, and development model from the development of the classifier of engagement in occupation with machine learning (CEOML).

Framework for the development of employability competencies at Campus FP

Framework for the development of employability competencies at Campus FP

Documentation and code for reproducing analyses presented in: vcferr: Development, Validation, and Application of a SNP Genotyping Error Simulation Framework

Documentation and code for reproducing analyses presented in: vcferr: Development, Validation, and Application of a SNP Genotyping Error Simulation Framework. Please see the README.pdf for step-by-step instructions for reproducing the entire analysis described in the paper.

opencc-by-4.0Jul 2021View details →

Development of a Multi-Level Dynamic Model to Measure the Resilience Level of Transportation Infrastructure Networks

The recent increase in disasters is making the largest critical infrastructure system namely the transportation infrastructure system susceptible to unexpected damage. Discontinuation of services provided by transportation infrastructures will create significant societal, economic, and collateral damages. Therefore, this study aims to identify dimensions to measure the resilience of the transportation infrastructures. This study also aims to develop a model to measure the resilience of the transportation infrastructures resilience. To fulfill the aims of this study, a questionnaire was developed which was supported by a comprehensive literature review. 92 valid responses were received and analyzed qualitatively and quantitatively. Statistically significant variables were used to develop a resilience measurement tool. The developed tool will provide relative resilience measures for multiple projects which will help in identifying the most vulnerable segment of the transportation infrastructure network. Exploratory factor analysis (EFA) was performed to identify the constructs and structural equation modeling (SEM) was used to develop the model. Without previous experience in reconstruction works, handling integrated assets becomes very critical. Also, such inexperience makes it difficult to handle emergency resources properly. However, such issues regarding integrated assets can be resolved by investing in locating integrated assets away from the roadways, so if a break in a railroad crossing or utility line occurs or emergency repairs are needed, the impact on the roadway operations can be minimized. To avoid issues related to access to previous disaster data for the roadway this study suggess investing in preparing an interactive online platform for recording and reviewing data related to disasters as well as previous resilience enhancing activities for the roadway with easy access credentials. The findings of this study will support practitioners and decision-makers in investing in the appropriate resilience enhancement activity project for funding and investment.

dryad36/100

Short-range C-signaling restricts cheating behavior during Myxococcus xanthus development

Starving Myxococcus xanthus bacteria use short-range C-signaling to coordinate building of multicellular mounds with differentiation from rods into spores during fruiting body development. A csgA mutant deficient in C-signaling can cheat on wild type (WT) in mixtures and form spores disproportionately, but our understanding of cheating behavior is incomplete. We report that cheating requires excess WT cells in the initial mixture and occurs during the mound-building phase of development. We subjected mixtures of WT and csgA cells at different ratios to co-development, and used confocal microscopy and image analysis to quantify the arrangement and morphology of cells near the bottom of nascent fruiting bodies (NFBs). At a ratio of one WT to four csgA cells (1:4), NFBs failed to form. At 1:2, broad mounds formed with half the normal cell density and very few spores. At 1:1, NFBs formed normally with a similar number of WT and csgA rods early in development and a similar number of spores later, so C-signaling by WT rescued csgA development efficiently, but the mutant did not cheat. In contrast, at 2:1 and 4:1 excess WT starting ratios, csgA rods were more abundant than expected in early NFBs, indicative of cheating during mound formation. As NFBs matured, csgA and WT eventually formed spores with similar efficiency, although csgA began sporulation earlier and closer to the radial center. Our results reveal restrictions on cheating behavior, which may have selected C-signaling evolutionarily, and may explain the prevalence of short-range signaling in bacterial biofilm and multicellular animal development.

opencc-zeroJun 2022View details →

Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance

These qualitative datasets are associated with work done under the Inter-agency Working Group for Capacity Strengthening initiative. The data was captured via Miro - a digital whiteboarding tool - using an innovative co-creation process called Systems Acupuncture and details the nine systemic barriers impeding a better, more sustainable country-driven model for capacity strengthening. The data was captured over a series of stakeholder workshops and discussion sessions, and synthesized into nine "system syndrome" maps. The maps illustrate the multi-dimensional causal relationships between individual system drivers and display feedback loops (i.e., sets of drivers that reinforce each other) within and between the system syndrome maps. The two pending manuscripts, both submitted to Gates Open Research, this data is associated with are: <ol> <li>Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance</li> <li>Exploring system drivers of gender inequity in development assistance for health and opportunities for action</li> </ol>

Dataset for the study "Changes in audio-spatial working memory abilities during childhood: The role of spatial and phonological development"

Working memory is a cognitive system devoted to storage and retrieval processing of information. Numerous studies on the development of working memory have investigated the processing of visuo-spatial and verbal non-spatialized information; however, little is known regarding the refinement of acoustic spatial and memory abilities across development. Here, we hypothesize that audio-spatial memory skills improve over development, due to strengthening spatial and cognitive skills such as semantic elaboration. We asked children aged 6 to 11 years old (n = 55) to pair spatialized animal calls with the corresponding animal spoken name. Spatialized sounds were emitted from an audio-haptic device, haptically explored by children with the dominant hand’s index finger. Children younger than 8 anchored their exploration strategy on previously discovered sounds instead of holding this information in working memory and performed worse than older peers when asked to pair the spoken word with the corresponding animal call. In line with our hypothesis, these findings demonstrate that age-related improvements in spatial exploration and verbal coding memorization strategies affect how children learn and memorize items belonging to a complex acoustic spatial layout. Similar to vision, audio-spatial memory abilities strongly depend on cognitive development in early years of life. Data in the file are divided into six sheets based on the age of the participants and the experimental condition, either call-call or call-name. Each sheet contains six columns: Participant ID, age and gender are the first three. The last three columns instead refer to the test parameters: the number of attempts, the audio-anchor and the score. In details, the number of attempts indicates the number of trials needed to pair the sounds. The audio-anchor provides a measurement of the exploration strategy. It accounts for how many consecutive attempts the child begins by touching the same speaker while the score takes into account the frequency of touches on the same speakers: the more the participant returns on the same stimulus location, the lower the score.

opencc-zeroJun 2022View details →

dryad36/100

Cognitive flexibility supports the development of cumulative cultural learning in children

The scale of cumulative cultural evolution (CCE), the improvement of cultural traits over generations via social transmission, is widely believed to be one of humans' most defining characteristics. Our capacity to build upon others' knowledge, skills, and technologies has produced the most diverse and complex technological repertoire on the planet. Despite growing interest in the field of CCE, the cognitive underpinnings supporting its development remain relatively understudied. In this study, we examined the role that cognitive flexibility plays in supporting cumulative cultural learning by studying U.S. children's (N = 167, 3-5-year-olds) propensity to relinquish an inefficient solution to a problem in favor of a more efficient alternative. We also examined whether children would resist reverting back to earlier versions and omit redundant actions from previous behaviors. In contrast to previous work with chimpanzees, most children who first learned to solve a puzzlebox in a highly inefficient way switched to an observed, more efficient alternative. However, over multiple task interactions, 85% of children who did switch also reverted back to the original, inefficient method. Moreover, almost all children in a control condition (who first learned the efficient method before observing the inefficient method) switched to the inefficient method. This suggests that children were keen to explore an alternative modeled solution but were overall conservative in reverting to their first-learned method across subsequent task interactions. We discuss these findings in the context of their implications for the cognitive ontogeny of CCE.

On the Use of GitHub Actions in Software Development Repositories

This replication package contains all the material required to replicate the analyses we made for our paper entitled "On the Use of GitHub Actions in Software Development Repositories" accepted for publication at the 38th International Conference on Software Maintenance and Evolution (ICSME) 2022. The required dependencies are listed in `requirements.txt` and can be installed (preferably in a virtual environment) using `pip install -r requirements.txt`. The notebooks are expected to be executed with `jupyter lab` (but any `jupyter` environment should do the job). The data (from `data/` folders) are generated by the various notebooks, starting from the raw dataset in the `data-raw` folder. Please refer to the paper and to the README file contained in that folder for more informations.

Research on Universities Profile upon Entrepreneurship and Innovation Orientation: Case of Developing Countries

This Data set is a part of a research project of  "Research on Universities Profile upon Entrepreneurship and Innovation Orientation: Case of Developing Countries"

Dataset for the article "Why Python Developers Migrate to Pytest"

Dataset for the proposed article "Why Python Developers Migrate to Pytest" Each file shows a tabular representation, mapping which resource presents advantages and disadvantages (why_developers_migrate_themes.csv), what type of code examples they have (why_developers_migrate_code_examples.csv), and what tips we can find (why_developers_migrate_tips.csv).

A Qualitative Analysis of Themes in Instant Messaging Communication of Software Developers

Data available: <ul> <li>Lists of public Gitter and Slack chat rooms selected for our study (see related DOI)</li> <li>Keywords used to search Gitter chat rooms</li> <li>Name, description and analysis of 87 Gitter cha rooms (downloaded with Gitter API - https://developer.gitter.im/docs/welcome)</li> <li>Name, description and analysis of 184 Slack cha rooms (found at Slofile - https://slofile.com/)</li> </ul>

Towards Developing and Analysing The Metric-Based Software Defect Severity Prediction Model

This is a metric based approach to solve software defect severity prediction problem. In addition to that, this work proposes a new evaluation scheme that comprised of five metrics to analyze the performances.

opencc-by-4.0Mar 2022View details →

Video Game Bad Smells: What they are and how Developers Perceive Them - Online dataset

This artifact contains the online replication package of the manuscript "Video Game Bad Smells: What they are and how Developers Perceive Them"

How and Why Developers Migrate Python Tests [Master dissertation]

Dataset for the master dissertation "How and Why Python Developers Migrate to Pytest". The `10_systems` zip file contains the aggregated and intermediate files for the systems used for precision and recall analysis. The `top_100_systems`  zip file contains the aggregated and intermediate files for the top 100 python systems analyzes. The `rq5_*` files contain data to assess the advantages and disadvantages found in 100 issues or pull requests and in the Grey Literature Review. The columns indicate if the advantages (A) or disadvantages (D) are present or not. Lastly, the `rq6_*` files present a similar structure, with themes defined while performing a thematic analysis for qualitative research questions.