Find research datasets worth reusing

opencc-by-4.0Nov 2022View details →

Results of the evaluation about the expert interviews regarding the benefits of a digital procurement workspace.

The paper "A next-generation Digital Procurement Workspace focusing on Information Integration, Automation, Analytics, and Sustainability" evaluates the set requirements and discovers the benefits of the Digital Procurement Workspace. For that, expert interviews in a qualitative and quantitative manner were conducted. The qualitative evaluation results are summarized here based on Mayring's (Mayring, 2000) methods.

Datasets to Evaluate Accuracy, Miscalibration and Popularity Lift in Recommendations

This repository contains three datasets for evaluating accuracy, miscalibration and popularity lift in recommender systems. All datasets contain genre/category information in addition to different user group splits: <ol> <li>Last.fm (lfm.zip), based on the LFM-1b dataset of JKU Linz (http://www.cp.jku.at/datasets/LFM-1b/)</li> <li>MovieLens (ml.zip), based on MovieLens-1M dataset (https://grouplens.org/datasets/movielens/1m/)</li> <li>MyAnimeList (anime.zip), based on the MyAnimeList dataset of Kaggle (https://www.kaggle.com/CooperUnion/anime-recommendations-database)</li> </ol> 'user_events_cats.txt' contains the users' rating/interaction data along with a list of genres/categories assigend to the rated items. The list of categories is given in 'categories.txt'. Additionally, assignments to three user groups that differ in their inclination to popular/mainstream items are provided: LowPop in 'low_main_users.txt', MedPop in 'med_main_users.txt', and HighPop in 'high_main_users.txt'. The format of the three user files are "user,mainstreaminess" The format of the user-events files are "user,item,preference,cats", where different categories are separated by '|' The format of the categories files are "category-name,index", where index refers to the category-id in the user-events files Example Python-code for analyzing the datasets as well as empirical results on calibration, popularity lift and accuracy can be found on GitHub: https://github.com/domkowald/FairRecSys

opencc-by-4.0Aug 2022View details →

Dataset for the publication "Evaluation of Voltage Transformers' Accuracy in Harmonic and Interharmonic Measurement"

This is dataset for paper published: G. Crotti, G. D’Avanzo, C. Landi, P. S. Letizia and M. Luiso, "Evaluation of Voltage Transformers’ Accuracy in Harmonic and Interharmonic Measurement," in IEEE Open Journal of Instrumentation and Measurement, vol. 1, pp. 1-10, 2022, Art no. 9000310, doi: 10.1109/OJIM.2022.3198473.

Experimental evaluation of how biological invasions and climate change interact to alter the vertical assembly of an amphibian community

<ol> <li>While biotic-abiotic interactions are increasingly documented in nature, a process-based understanding of how such interactions influence community assembly is lacking in the ecological literature. Perhaps the most emblematic and pervasive example of such interactions is the synergistic threat to biodiversity posed by climate change and invasive species. Invasive species often out-compete or prey on native species. Despite this long-standing and widespread issue, little is known about how abiotic conditions, such as climate change, will influence the frequency and severity of negative biotic interactions that threaten the persistence of native fauna.</li> <li>Treefrogs are a globally diverse group of amphibians that climb to complete life-cycle processes, such as foraging and reproduction, as well as to evade predators and competitors, resulting in frog communities that are vertically partitioned. Furthermore, treefrogs adjust their vertical position to maintain optimal body temperature and hydration in response to environmental change. Here, utilizing this model group, we designed a novel experiment to determine how extrinsic abiotic and biotic factors (changes to water availability and an introduced predator, respectively) interact with intrinsic biological traits, such as individual physiology and behavior, to influence treefrogs’ vertical niche.  </li> <li>Our study found that treefrogs adjusted their vertical niche through displacement behaviors in accordance with abiotic resources. However, biotic interactions resulted in native treefrogs distancing themselves from abiotic resources to avoid the non-native species. Importantly, under altered abiotic conditions, both native species avoided the non-native species  –  more than they avoided their native counterpart. Additionally, exposure to the non-native species resulted in native species altering their tree climbing behaviors by  and becoming more vertically dynamic to avoid the non-native antagonist.</li> <li>Our experiment determined that vertical niche selection and community interactions were most accurately represented by a biotic-abiotic interaction model, rather than a model that considers these factors to operate in an isolated (singular) or even additive manner. Our study provides evidence that native species may be resilient to interacting disturbances via physiological adaptations to local climate and plasticity in space-use behaviors that mediate the impact of the introduced predator. </li> </ol>

Reuse of Model Transformations for Propagating Variability Annotations in Annotative Software Product Lines - Evaluation Data

This package contains all data that was produced for and used in the doctoral thesis for evaluating commutativity of propagating annotations in model-driven product lines. This includes the  implementation that conducts the evaluation, the measured results, and the input subjects.

A Policy and Infrastructure Evaluation Model of Commodity Flows through Inland Waterway Ports (Dataset)

The purpose of this project is to guide strategic investment into port capacity through the development of a policy and infrastructure evaluation model of inland waterway commodity flows. A multi-stage stochastic optimization model will be developed to evaluate tradeoffs in strategic, long-term port infrastructure investment with mid-term capacity expansion decisions and provision of complementary highway infrastructure made by public and private stakeholders, and shorter-term operational practices made by shippers and carriers. This work builds on prior MarTREC projects which developed a Multi-Commodity Assignment Problem to estimate annual commodity flows through inland waterway ports from truck Global Positioning System (GPS), marine Automatic Identification System (AIS), and the Lock Performance Management System (LPMS).  The proposed project will explore critical extensions of the assignment model: 1) disaggregation of the temporal scope to reflect monthly seasonality among commodities, 2) incorporation of uncertainty related to observed vehicle and vessel movement data, and 3) inclusion of transportation costs. With these extensions the team expects to increase the accuracy and resolution of the commodity-based port throughput estimates and to allow the model to be used to not only describe the current system but to prescribe policy and project investment strategies for public and private sector transportation decision makers. Calibration and validation of the multi-stage optimization model will be done through two case studies. The regional-based study will use historical truck GPS, marine AIS, and LPMS datasets. The national-based study will use data from the Billion Ton Study led by the US Department of Energy. This will ensure a feasible and realistic base-case on which to compare future policy scenarios.  This project aligns with MarTREC’s research focus area in Maritime and Multimodal Logistics Management by modeling commodity flows through ports that serve as critical connections for the multimodal freight supply chain.

Raw data for evaluation of Floral Volatile-Patterns in the Genus Narcissus using Gas Chromatography coupled Ion Mobility Spectrometry

We used a commercial gaschromatography coupled ion mobility spectrometer, equipped with an integrated in-line enrichment system for fast, sensitive and automated analysis of floral volatile patterns in the genus Narcissus. The raw data of individual measurements are stored together with corresponding telemetry data as data matrices. The determined retention times and ion mobilities (series and columns) can be used for the identification of substances.  The measured values (intensities) are used for a (semi)-quantoitative determination of individual substances.Based on these raw data, heatmaps can be generated in this way, which allow a comparison and potentially identification of floral volatiles.  This data set is part of a proof of concept study for the use of GC-IMS in the investigation of flower volatiles.

Dataset for P-FARFAR2 evaluation

Repeated sampling exercises are conducted using different numbers of workers. The shared data capture the distributions of key metrics observed per configuration, so they can be compared against each other for statistical significance.

openmit-licenseOct 2022View details →

Datasets for Evaluating Metagenomic Phage Detection Tools

These datasets include sequences that can be used for evaluating computational tools that detect bacteriophage in metagenomes. Datasheets are supplied for each dataset, and a README describes how to extract each dataset. Once the directories are extracted, there is a README in each directory describing the individual dataset.

Dataset and evaluation for HTR models for Latin and French Medieval Documentary Manuscripts

1. Dataset presentation. This is the dataset used to produce the HTR models applied to documentary Latin and French manuscripts presented in the paper: Sergio Torres Aguilar, Vincent Jolivet. Handwritten Text Recognition for Documentary Medieval Manuscripts. 2022. https://hal.science/hal-03892163 The dataset contains mostly charters and registers from the Late-medieval period (12th-15th). The training and evaluation, entailing 1855 pages, 120k lines of text and almost 1M tokens, were conducted using three freely available ground-truth corpora : The Alcar-HOME database : https://zenodo.org/record/5600884 The e-NDP corpus : https://github.com/chartes/e-NDP_HTR The Himanis project : https://zenodo.org/record/5535306 The final model operates in a multilingual environment (Latin and French) and it is able to recognize several Latin script families (mostly Textualis and Cursiva) in documents produced in ca. 12th - 15th centuries. During the evaluation the models shows an accuracy of 94.01% on the validation set and a CER (character error ratio) of about 0.12 to 0.17 on four external unseen datasets. A fine-tuning exercise using 10 ground-truth pages can raise these results to a CER between 0.06 to 0.10 respectively.   2. Dataset contents . a) GT_list : List containing the GT file names which constitute the training, evaluation and test sets. The images and transcriptions can be downloaded from their original repositories. b) Training : Contains the training and testing results (evaluation and prediction files) presented in the original paper for the two training phases: Regular (Textualis and Cursiva separated training) and Quartiles (mixed training by quartiles). c) Useful_scripts : Scripts to produce the HTR metrics (CER, WER, SER) and plot the model's accuracy. d) Best_model : Contains the best multilingual and multi-script model.

opencc-by-4.0May 2015View details →

Dataset: A quantitative 1H NMR approach for evaluating the metabolic response of Saccharomyces cerevisiae to mild heat stress

In this study, the effect of growth temperature on the yeast (Saccharomyces cerevisiae) metabolome has been analyzed by one-dimensional proton NMR spectroscopy (1H NMR). Yeast cells were grown either at 30 or 37°C. A non-targeted chemometric evaluation of the spectra was performed in order to detect potential biomarkers. Moreover, an exhaustive assignment for most of the detected NMR signals was carried out, corresponding to 38 identified metabolites. Resonances from these identified metabolites were integrated, and univariate and multivariate data analyses were applied on the matrices of these relative concentrations. Observed changes in metabolite concentrations were consistent with the expected process of temperature acclimation, showing alterations in amino acid cellular pools, nucleotide metabolism and lipid composition.

QAMeleon Physical layer evaluation of 1x24 WSS targeting flex-grid operation simulation raw data

Physical layer simulations of 1x24 WSS has been supported, targeting flex-grid operation for transmission of 16-QAM and 64-QAM at 32, 64, and 128 Gbaud

opencc-zeroJan 2023View details →

dryad40/100

Data corresponding to: Evaluation of sequencing and PCR-based methods for the quantification of the viral genome formula

Viruses show great diversity in their genome organisation. Multipartite viruses package their genome segments into separate particles, most or all of which are required to initiate infection in the host cell. The benefits of such seemingly inefficient genome organization are not well understood. One hypothesised benefit of multipartition is that it allows for flexible changes in gene expression by altering the frequency of each genome segment in different environments, such as encountering different host species. The ratio of the frequency of segments is termed the genome formula (GF). Thus far, formal studies quantifying the GF have been performed for well-characterised virus-host systems in experimental settings using RT-qPCR. However, to understand GF variation in natural populations or novel virus-host systems, a comparison of several methods for GF estimation including high-throughput sequencing (HTS) based methods is needed. Currently, it is unclear how HTS-methods compare a golden standard, such as RT-qPCR. Here we show a comparison of multiple GF quantification methods (RT-qPCR, RT-digital PCR, Illumina RNAseq and Nanopore direct RNA sequencing) using three host plants (Nicotiana tabacum, Nicotiana benthamiana, and Chenopodium quinoa) infected with cucumber mosaic virus (CMV), a tripartite RNA virus. Our results show that all methods give roughly similar results, though there is a significant method effect on genome formula estimates. While the RT-qPCR and RT-dPCR GF estimates are congruent, the GF estimates from HTS methods deviate from those found with PCR. Our findings emphasise the need to tailor the GF quantification method to the experimental aim, and highlight that it may not be possible to compare HTS and PCR-based methods directly. The difference in results between PCR-based methods and HTS highlights that the choice of quantification technique is not trivial.

Datasets of evaluated Covalent Organic Frameworks for photocatalysis

We developed a workflow to evaluate covalent organic frameworks (COFs) for photocatalysis. As an input, we chose the CURATED COFs (doi:<a href="https://doi.org/10.24435/materialscloud:z6-jn">10.24435/materialscloud:z6-jn</a>), a database of experimental COFs. We performed density functional theory (DFT) calculations, and post-processed the result with in-house codes available on GitHub (see <a href="https://github.com/bmourino/cof_photocatalysis">GitHub repository</a>). The dataset in cofs_descriptors.csv is the full dataset with all of our computed descriptors, and an application was developed to allow for interactively exploring the results (see <a href="https://github.com/bmourino/cofs_photocat_app">GitHub repository</a>). The bootstrapped_statistics.csv is the result of the statistical analysis with DABEST (Data Analysis with Bootstrap-coupled ESTimation, doi:<a href="https://doi.org/10.1038/s41592-019-0470-3">10.1038/s41592-019-0470-3</a>).

(Dataset) Evaluating tomotectonic plate reconstructions using geodynamic models with data assimilation, the case for North America

Dataset for the paper: Evaluating tomotectonic plate reconstructions using geodynamic models with data assimilation, the case for North America For more infomation, please look into the README file or contact ljliu@illinois.edu, thank you!

Evaluation of Open Source Ventilators (OTRL & ODRL)

<ul> <li>applying the open readiness scales introduced in https://doi.org/10.1016/j.procir.2022.05.306 onto the whole dataset of PubInv's evaluation of open source ventilators for COVID-19 crisis response</li> <li>find here: <ul> <li>the evaluation (final scores) of the full dataset (incl. the unfiltered dataset and PubInv's evaluations)</li> <li>the log for all evaluations for details and as a rationale for each evaluation</li> </ul> </li> </ul>

Dataset Related to "Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller"

Dataset (and programs used to create it) for the publication "Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller": Hannes Tröpgen, Mario Bielert, and Thomas Ilsche. 2023. Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller. In Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (ICPE ’23), April 15–19, 2023, Coimbra, Portugal. ACM, New York, NY, USA, 10 pages. <a href="https://doi.org/10.1145/3578244.3583729">https://doi.org/10.1145/3578244.3583729</a> Find additional descriptions of the data in the included readme files.   This work is supported in part by the German National High Performance Computing (NHR@TUD). The authors are grateful to the Center for Information Services and High Performance Computing at TU Dresden for providing the Power9 Systems used in the measurements and the support during them.

opencc-by-4.0Jul 2021View details →

Digital Tools for Handwriting Proficiency Evaluation in Children - DATASET

Data to support the findings in the conference paper L. G. Dui, E. Calogero, M. Malavolti, C. Termine, M. Matteucci and S. Ferrante, "Digital Tools for Handwriting Proficiency Evaluation in Children," 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Athens, Greece, 2021, pp. 1-4, doi: 10.1109/BHI50953.2021.9508539. <ul> <li>Characterization.xls: an Excel file with sheets: <ul> <li>Characterization: <ul> <li>Subject ID</li> <li>School ID</li> <li>Class</li> <li>Age</li> <li>Sex</li> <li>Hand</li> <li>Years since starting writing in cursive</li> </ul> </li> <li>TabletSUS: score for the System Usability Scale referred to writing on tablet</li> <li>PenSUS: score for the System Usability Scale referred to writing on paper with the smart ink pen</li> <li>BVSCO-2: number of graphemes produced when writing on paper or tablet</li> </ul> </li> <li>pen_tablet_data.mat: a Matlab file with indicators and their names, computed with tablet and pen data</li> </ul>

Synthetic Nodules for Evaluation of 3D Deep Learning Segmentation Attribution

Both the algorithm used to generate this dataset as well as the comprehensive evaluation metric for visual explanations are detailed in the paper "Attribution of 3D Deep Learning Segmentation in Medical Imaging". This is a synthetic dataset developed to enable the comprehensive evaluation of visual explanation methods applied to deep learning segmentation predictions. The data provided here include 100 training and 100 testing volumes, binary segmentation labels for model training, and explanation segmentation labels for explanation evaluation. The intended workflow for this dataset is: 1) Train a deep learning segmentation model using the 100 training volumes and binary segmentation labels. 2) Use a method of visual explanation to explain the trained model's segmentation decisions on the 100 testing volumes. 3) Use the explanation labels to evaluate the generated explanations.   The folders imagesTr and imagesTs contain the training and testing image volumes, respectively. A dataset.json file has also been generated for the images to enable training using the nnUNet pipeline. The folders labelsTr and labelsTs contain the training and testing binary segmentation labels. In both cases, 1 indicates foreground voxels (spiculated nodule) and 0 indicates background voxels. The folders labelsTr_full and labelsTs_full contain the training and testing explanation labels. In both cases, 1 indicates non-spiculated nodule, 2 indicates spiculation structure (discriminating background), 3 indicates spiculated nodule body (segmentation foreground), and 0 indicates background.