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LIZGAIRO - Evaluation

In order to improve the skill of our telecommunication degree students, a group of teachers at the School of Telecommunication Engineering of the Universidade de Vigo set up the LIZGAIRO project as the means to introduce Agile techniques, and Scrum in particular, across a set of subjects in different courses both of the undergraduate and the graduate level. These datasets collect the responses to the surveys evaluating the satisfaction of students and teachers with the project.

Evaluation of SPOD within the Campania Region

It reports the raw and anonymized results of an evaluation performed in 2019 within the Campania Region to test their acceptance of SPOD (<a href="http://spod.routetopa.eu/">http://spod.routetopa.eu</a>) to support Open Data co-creation and exploitation.

MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation

MedleyVox is an evaluation dataset for multiple singing voices separation, which consists of 381 segments (1.1hour), containing 23 songs from MedleyDB v1 and v2 (https://medleydb.weebly.com).   MedleyVox contains 1) unison, 2) duet, 3) main vs. rest (folder name 'rest') , and 4) N-singing ('unison' + 'duet' + 'rest', please check our dataloader code for N-singing in https://github.com/jeonchangbin49/MedleyVox/blob/main/svs/data/test_dataset.py) categories explained in our ICASSP 2023 paper. For more details, please check our paper (https://arxiv.org/pdf/2211.07302.pdf) and code repository (https://github.com/jeonchangbin49/MedleyVox).   Acknowledgment We are grateful to Rachel Bittner, the author of the original MedleyDB data, for allowing us to publish the MedleyVox dataset.   License This work is licensed under a <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.

A Conceptual Model to Support Teaching of Software Engineering Controlled (Quasi-)Experiments - Evaluation of the Concept Model

A Conceptual Model to Support Teaching of Software Engineering Controlled (Quasi-)Experiments - Evaluation of the Concept Model

Evaluating the "Learning on Graphs" Conference Experience

This is the reproducibility material for the following manuscript: Bastian Rieck and Corinna Coupette. Evaluating the "Learning on Graphs" Conference Experience. 2023. arXiv: <a href="https://doi.org/10.48550/arXiv.2306.00586">2306.00586 [cs.LG]</a>.

Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform

Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform ======================================================= • If you publish material based on this dataset, please cite the following :             • The Zenodo repository : Laila El-Hamamsy, Barbara Bruno, Jessica Dehler Zufferey, and Francesco Mondada (2023). Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7489244             • The associated peer reviewed article that will appear in the International Journal of STEM education : El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820 • License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC-BY-4.0) • Creator: El-Hamamsy, L., Bruno, B., Dehler Zufferey, J., and Mondada, F. • Date: May 2nd 2023 • Subject: Computer Science; Curricular Reform; Elementary Education; Learning Achievement; Computational Thinking; Perception Survey; Equity; Gender Gaps • Dataset format: CSV • Dataset collection: January 2021 to May 2022 • Dataset size : < 100 kB • Dataset content : three excel files. We provide the detailed description of each of the files below. The original questions are available in the associated publication [1]. Please note that these datasets contain missing values due to students either not being present for all data collections or not having the associated teacher-related data. • Abbreviations :   - CS : Computer Science   - CT : Computational Thinking   - PD : Professional Development • Funding : This work was funded by the the NCCR Robotics, a National Centre of Competence in Research, funded by the Swiss National Science Foundation (grant number 51NF40_185543)   # References [1] El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820

opencc-by-4.0Apr 2023View details →

Figures 7–12 in Evaluation of North American spider wasp (Hymenoptera: Pompilidae) common names

Figures 7–12. Habitus photos of North American Pompilidae. 7) Entypus unifasciatus unifasciatus female, Rock Creek, Washington, DC, USA. Photograph © Landrum Beard. 8) Hemipepsis ustalata female, Reserva de la Biosfera Sierra La Laguna, Baja California Sur State, Mexico. Photograph © Steven Mlodinow. 9) Poecilopompilus algidus algidus female, Warsaw, Hancock County, IL, USA. Photograph © Angella Moorehouse. 10) Psorthaspis mariae female, Buffalo National River, Centerpoint Trail, Newton County, AR, USA, Photograph © Edward Trammel. 11) Tachypompilus unicolor unicolor female, Rocks National Reserve, Cassia County, ID, USA. Photograph © Steven Mlodinow. 12) Tachypompilus analis female, Twun Tong District, Hong Kong, People's Republic of China. Photograph © Keith Chan.

opencc-by-4.0Apr 2023View details →

Figures 1–6 in Evaluation of North American spider wasp (Hymenoptera: Pompilidae) common names

Figures 1–6. Habitus photos of North American Pompilidae. 1) Anoplius semicinctus female, Marlboro, Windham County, VT, USA. Photograph © Tom Murray. 2) Caliadurgus fasciatellus female, Rockville, Hanover County, VA, USA. Photograph © Louise Woodrich. 3) Ceropales bipunctata bipunctata female, Hatfield, Hampshire County, MA, USA. Photograph © Sloan Tomlinson. 4) Ceropales maculata fraterna female, Groton, Middlesex County, MA, USA. Photograph © Tom Murray. 5) Entypus fulvicornis male, Fiddler's Creek Preserve, Mercer County, Titusville, NJ, USA. Photograph © Seth Ausubel. 6) Entypus unifasciatus cressoni female, Garland, Dallas County, TX, USA. Photograph © Tracey Fandre.

Evaluating a poroelastic model via pore pressure signals in seafloor sediments [data set]

The csv files consist of pressure data collected off the coast of Camp Pendleton between 10 February 2021 and 25 February 2021, and include both pore pressure data from two instrumented surrogates and pressure data from a Nortek Signature. Timestamps are in posix time; pressure is in kPa. The time series for Surrogate A are prefixed "surrA"; those for Surrogate B are prefixed "surrB". The Nortek Signature time series is prefixed "Sig1000".

E3SMv2 cloud evaluation with COSP

These are the simulator output from the model simulations for Zhang et al. (2023). The v1 and v2 simulations are the last 30-year (1985-2014) data from the 165-year historical simulations using E3SMv1 and v2. The four sensitivity tests with the 6-year simulations are to isolate the impact of changes in model parameter choices in its turbulence, shallow convection, and cloud macrophysics parameterization (CLUBB), microphysical parameterization (MG2), and deep convection scheme (ZM), as well as model physics changes in convective triggering. The simulations of version 1 and version 2 are reproduced using maintenance branches maint-1.0 (https://github.com/E3SM-Project/E3SM/tree/maint-1.0) and maint-2.0 (https://github.com/E3SM-Project/E3SM/tree/maint-2.0), respectively.

opencc-by-4.0Feb 2023View details →

AGREE: a New Benchmark for the Evaluation of Semantic Models of Ancient Greek

AGREE (Ancient Greek Relatedness Embeddings Evaluation) is a benchmark for the evaluation of semantic models of Ancient Greek created at the University of Groningen (The Netherlands). More information about it can be found in the following publication: Silvia Stopponi, Saskia Peels-Matthey, Malvina Nissim, AGREE: a new benchmark for the evaluation of distributional semantic models of ancient Greek, Digital Scholarship in the Humanities, Volume 39, Issue 1, April 2024, Pages 373–392, <a href="https://doi.org/10.1093/llc/fqad087">https://doi.org/10.1093/llc/fqad087</a>   1. Overview of the repository This benchmark was created from a mix of expert judgements about relatedness between Ancient Greek words and model outputs validated by human experts. The evaluation items are pairs of Ancient Greek lemmas with a high semantic relatedness. The human judgements were collected via two questionnaires, proposing two different tasks to the experts. The evaluation items included in the AGREE benchmark are a selection of the most strictly related pairs of lemmas obtained from the two tasks. Here an overview of the contents of the repository: <ul> <li>1_agree_task1.json includes all the data collected with the first task. The following labels are used: <ul> <li>'pair': two Ancient Greek lemmas;</li> <li>'frequency': the number of times that the pair was suggested as related by an expert;</li> <li>'POS1': part-of-speech of the first lemma;</li> <li>'POS2': part-of-speech of the second lemma;</li> <li>'benchmark': inclusion of the pair in the AGREE benchmark ('yes'/'no').</li> </ul> </li> <li>2_agree_task2.json includes all the data collected with the second task. The following labels are used: <ul> <li>'pair': two Ancient Greek lemmas;</li> <li>'origin':  <ul> <li>'common_pair' = one of the two pairs proposed to all participants in the second task;</li> <li>'task1' = pairs proposed by experts in the first task;</li> <li>'models_easy_rel' = output of word2vec models, pair considered as strictly related;</li> <li>'models_task1' = pairs proposed by experts in the first task and also output by word2vec models;</li> <li>'models' = output of word2vec language models;</li> <li>'unrelated' = made up pairs of unrelated lemmas (control pairs);</li> </ul> </li> <li>'respondents': number of experts evaluating a pair;</li> <li>'score': average relatedness score given by the experts on a 0-100 scale;</li> <li>'agreement': inter-annotated agreement between all experts who evaluated the block of pairs to which the current pair belongs (when available, i.e. when the block of pairs was presented to more than one participant);</li> <li>'benchmark': inclusion of the pair in the AGREE benchmark ('yes'/'no').</li> </ul> </li> <li>3_agree_final_benchmark.json includes the final selection of items that constitutes AGREE. The following labels are used: <ul> <li>'pair': two Ancient Greek lemmas;</li> <li>'origin': <ul> <li>'task1': pair either proposed more than once in the first task or proposed only once, but scored >= 70 in the second task;</li> <li>'task2': pair scored by more than one respondent in the second task and with average score >= 70.</li> </ul> </li> </ul> </li> </ul>   This updated version of the repository includes the individual answers to the two questionnaires (see files 'answers_Task1_postprocessed.xlsx' and 'raw_answers_Task2.xlsx').   2. Acknowledgements <div>This work was partially supported by the Young Academy Groningen through the PhD scholarship of Silvia Stopponi.   We acknowledge the financial support of Anchoring Innovation. Anchoring Innovation is the Gravitation Grant research agenda of the Dutch National Research School in Classical Studies, OIKOS. It is financially supported by the Dutch ministry of Education, Culture and Science (NWO project number 024.003.012). For more information about the research programme and its results, see the website <a href="https://www.anchoringinnovation.nl">www.anchoringinnovation.nl</a>.   We want to thank the experts of Ancient Greek around the world who shared their knowledge of Ancient Greek semantics and donated some of their precious time. Without them the creation of this benchmark would not have been possible.   We also want to thank the many colleagues from the University of Groningen, the National Research School OIKOS, and other Universities abroad who contributed to this work with discussion and advice.</div> <div> </div> <div>  3. Citation Silvia Stopponi, Saskia Peels-Matthey, Malvina Nissim, AGREE: a new benchmark for the evaluation of distributional semantic models of ancient Greek, Digital Scholarship in the Humanities, Volume 39, Issue 1, April 2024, Pages 373–392, <a href="https://doi.org/10.1093/llc/fqad087">https://doi.org/10.1093/llc/fqad087</a></div> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div>

opencc-zeroJun 2023View details →

Dataset for the article: Evaluating the Predictive Performance of Quick Methods for Estimating Task Difficulty and Student Ability in Automated Computer Programming Assessment

This open access repository houses the dataset utilized in the research article:Pankiewicz, M. (2023). Evaluating the Predictive Performance of Quick Methods for Estimating Task Difficulty and Student Ability in Automated Computer Programming Assessment. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 1413-1418). Vienna, Austria: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/primary/p/222666The repository includes these files:"submissions.csv": This data file captures the evaluation results of programming assignments. It is organized by the following columns: <ul><li>"user_id": The unique identifier for each student who submitted the assignment.</li><li>"task_id": The unique identifier for each task that received submissions.</li><li>"submission_seconds": The number of seconds since the first user accessed the initial task's description within the system.</li><li>"correct": The outcome of the evaluation (1 denotes correct; 0 denotes incorrect).</li><li>"subject": The specific subject matter that the task addresses.</li></ul> "subjects.csv": This data file comprises the roster of subjects for which tasks have been assigned within the system. It includes these columns: <ul><li>"subject_id": The unique identifier for each subject.</li><li>"subject": The actual name of the subject.</li></ul>

Evaluation of Massive Education in Prison Health: a perspective of health care for the person deprived of freedom in Brazil

Dataset name: data_survey.xlsx  Version: 1.0  Dataset period: 03/23/2022 - 06/30/2022 Dataset Characteristics: Multivalued  Number of Instances: 270 Number of Attributes: 88 Missing Values: Yes Area(s): Health and education  Description: The data contained in the "data_survey.xlsx" dataset (Table 1, in the README) originate from a questionnaire (available in the download files section) composed of 37 questions administered to students who completed the course "Health Care for People Deprived of Freedom" from the learning path "Prison System." This course is a strategy for mass education in prison health in Brazil and is available in the Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2023). This dataset provides information about the course from the perspective of health professionals and other staff who work or wish to work in the Brazilian prison system. Note: The dataset's content is provided in Brazilian Portuguese (pt-br) from native speakers.

opencc-zeroJun 2023View details →

dryad40/100

Data from: Evaluating the importance of individual heterogeneity in reproduction to Weddell seal population dynamics using integral projection models

<ol> <li>Identifying and accounting for unobserved individual heterogeneity in vital rates in demographic models is important for estimating population-level vital rates and identifying diverse life-history strategies, but much less is known about how this individual heterogeneity influences population dynamics.</li> <li>We aimed to understand how the distribution of individual heterogeneity in reproductive and survival rates influenced population dynamics using vital rates from a Weddell seal population by altering the distribution of individual heterogeneity in reproduction, which also altered the distribution of individual survival rates through the incorporation of our estimate of the correlation between the two rates and assessing resulting changes in population growth.</li> <li>We constructed an integral projection model (IPM) structured by age and reproductive state using estimates of vital rates for a long-lived mammal that has recently been shown to exhibit large individual heterogeneity in reproduction. Using output from the IPM, we evaluated how population dynamics changed with different underlying distributions of unobserved individual heterogeneity in reproduction.</li> <li>Results indicate that the changes to the underlying distribution of individual heterogeneity in reproduction cause very small changes in the population growth rate and other population metrics. The largest difference in the estimated population growth rate resulting from changes to the underlying distribution of individual heterogeneity was less than 1%.</li> <li>Our work highlights the differing importance of individual heterogeneity at the population level compared to the individual level. Although individual heterogeneity in reproduction may result in large differences in the lifetime fitness of individuals, changing the proportion of above- or below-average breeders in the population results in much smaller differences in annual population growth rate. For a long-lived mammal with stable and high adult-survival that gives birth to a single offspring, individual heterogeneity in reproduction has a limited effect on population dynamics. We posit that the limited effect of individual heterogeneity on population dynamics may be due to canalization of life-history traits.</li> </ol>

opencc-by-4.0Sep 2022View details →

Data files for manuscript "Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%"

#2023-06-16 #Summary This ZIP-file contains the data files used for all analyses for the manuscript "Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%". #File structure README.txt                                                                    This README file. File S02 ("FileS2_conNDD-cohort.xlsx")                                        All variants identified by Reuter et al. previously with reevaluated variants and addition variants identified in this                                                                              project togetehr with information about the families, individuals, samplesand the BAM files assessed in this project. File S03 ("FileS3_conNDD-variants.xlsx")                                    All variant data analyzed from the cohort. Including a sheet with thresholdes for in silico predictions tools used to predict effect of variants,                                                                              a table with exome wide homozygous variants in 4 categories (A45, LGD, Missense, Splice), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice)                                                                             filtered for domiant genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice) filtered for recessive genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table withcopy number (CN) calls for the cohort and a table withcalls for runs of homozygosity (RoH) regions. #Files and checksums 29c4b2f3dd8985d268f50dd3e0265798    ./FileS2_conNDD-cohort.xlsx a054334637b8b22a9bf743db1e348663    ./FileS3_conNDD-variants.xlsx

Development of a national point-of-care ultrasound training course for physicians in Japan: A 3-year evaluation

Purpose: Point-of-care ultrasound (POCUS) allows bedside clinicians to acquire, interpret, and integrate ultrasound images into patient care. Although the availability of POCUS training courses has increased, the educational effectiveness of these courses is unclear. Methods: From 2017 to 2019, we investigated the educational effectiveness of a standardized 2-day hands-on POCUS training course and changes in pre- and post-course exam scores in relationship to participants’ (n = 571) clinical rank, years of POCUS experience, and frequency of POCUS use in clinical practice. Results: The mean pre- and post-course examination scores were 67.2 (standard deviation [SD] 12.3) and 79.7 (SD 9.7), respectively. Higher pre-course examination scores were associated with higher clinical rank, more years of POCUS experience, and more frequent POCUS use (p < 0.05). All participants showed significant changes in pre- to post-course exam scores. Though pre-course scores differed by clinical rank, POCUS experience, and frequency of POCUS use, differences in post-course scores according to participant baseline differences were non-significant. Conclusion: A standardized hands-on POCUS training course is effective for improving POCUS knowledge regardless of baseline differences in clinical rank, POCUS experience, or frequency of POCUS use. Future studies shall evaluate changes in POCUS use in clinical practice after POCUS training.

Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL)

This dataset, titled "Digital Humanities Retrieval Evaluation Dataset for Art, Architecture, and Life Sciences," emphasizes semantic retrieval, including ground truth data for both content-based and instance-based image retrieval. Utilized to compare various promising approaches and refine the evaluation method, this dataset serves as a precursor to a more extensive dataset. Additional details can be found in the dataset's related publication. Currently, the dataset is still under development. In its next iteration, the dataset will include options for retrieving image syntax and temporal aspects, in addition to the semantics.

opencc-by-4.0Jan 2023View details →

Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984-2019 – a quantitative evaluation: extended material

This dataset contains extended material for the paper: Frantz, D., Rufin, P., Janz, A., Ernst, S., Pflugmacher, D., Schug, F., Hostert, P.: Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984-2019 – a quantitative evaluation. In revision.

opencc-by-4.0Feb 2023View details →

Evaluation of Agriculture Open Data Ecosystem Maturity

This dataset represents an evaluation of the key elements of the agricultural open data ecosystem in Croatia: Stakeholders, Infrastructure, Data, Policy/Governance. The evaluation was made by experts. For each element, an evaluation was made according to certain criteria. The experts involved in the research were representatives of each stakeholder group, namely: Management and Support Organizations, Agriculture Producers/Farmers, Suppliers, Researchers and Scientists, Consumers/Consumer Organizations and Other Stakeholders.

Evaluating the implementation of adult smoking cessation programs in community settings. Protocol for a scoping review

Tables and figures from Evaluating the implementation of adult smoking cessation programs in community settings. Protocol for a scoping review