Find research datasets worth reusing

Dataset: Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises

This repository contains supplementary materials for the following conference paper: V. &Scaron;vábenský, R. Weiss, J. Cook, J. Vykopal, P. Čeleda, J. Mache, R. Chudovský, A. Chattopadhyay. Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE 2022). <a href="https://doi.org/10.1145/3478431.3499414">https://doi.org/10.1145/3478431.3499414</a> Preprint available at: <a href="https://arxiv.org/abs/2112.02053">https://arxiv.org/abs/2112.02053</a> How to cite If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link). <pre><code>@inproceedings{Svabensky2022evaluating, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Weiss, Richard and Cook, Jack and Vykopal, Jan and \v{C}eleda, Pavel and Mache, Jens and Chudovský, Radoslav and Chattopadhyay, Ankur}, title = {{Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises}}, booktitle = {Proceedings of the 53rd ACM Technical Symposium on Computer Science Education}, series = {SIGCSE '22}, location = {Providence, RI, USA}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {03}, year = {2022}, pages = {787--793}, numpages = {7}, isbn = {978-1-4503-9070-5}, url = {https://doi.org/10.1145/3478431.3499414}, doi = {10.1145/3478431.3499414}, }</code></pre> Attached content The materials include the research dataset, source code, and graphs. See the README.md file inside the attached ZIP file for more details.

DATASET: Evaluation of sorbents for high temperature removal of tars, hydrogen sulphide, hydrogen chloride and ammonia from biomass-derived syngas by using Aspen Plus

Effect of S/B ratio on syngas; Effect of temperature on syngas; sensitivity analysis of H2S concentration respect to steam content in syngas; sensitivity analysis of H2S concentration respect to temperature.

evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"

Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)" If you use any of this data, cite the original source: <a href="https://doi.org/10.1016/j.anbehav.2020.09.006">https://doi.org/10.1016/j.anbehav.2020.09.006</a>

Using satellite observations to evaluate model microphysical representation of Arctic mixed-phase clouds

This is data from several atmosphere-only GCM experiments used to investigate the impacts of changing mixed-phase microphysical parameters in the CAM6 atmospheric model. Details and results from these simulations is presented in the submitted manuscript "Using satellite observations to evaluate model microphysical representation of Arctic mixed-phase clouds". A preprint of this manuscript can be found at https://www.essoar.org/doi/10.1002/essoar.10506728.2. An included README file describes organization of files. For any questions, please contact jonah.shaw@colorado.edu.

Dataset for "Evaluation of Publicly Available Information on Sex-related Differences in the Efficacy and Safety of New Molecular Entities and Therapeutic Biological Products"

Contains our extraction sheets with additional documents/notes on methods used in our study.

opencc-by-4.0Mar 2021View details →

Semi-simulated dataset of indel calling tool evaluation

The semi-simulated datasets used in Ning Wang, et al.  100bp_5X_500_Venter_read1.fq.gz & 100bp_5X_500_Venter_read2.fq.gz: 5X coverage, 100bp read length semi-simulated paired-end sequencing FASTQ files. 100bp_30X_500_Venter_read1.fq.gz & 100bp_30X_500_Venter_read2.fq.gz: 30X coverage, 100bp read length semi-simulated paired-end sequencing FASTQ files. 250bp_30X_500_Venter_read1.fq.gz & 250bp_30X_500_Venter_read2.fq.gz: 30X coverage, 250bp read length semi-simulated paired-end sequencing FASTQ files. 100bp_60X_500_Venter_read1.fq.gz & 100bp_60X_500_Venter_read2.fq.gz: 60X coverage, 100bp read length semi-simulated paired-end sequencing FASTQ files. Haplotype_1_no_gap.fa & Haplotype_2_no_gap.fa: the semi-simulated dipoid human genome hg19 chromosome 1 and chromosome 2, including HuRef indels used in Ning Wang, et al. In order to use ART (fastq simulator) to generate simulated fastq fiels, the gaps (Ns) of genome were removed. chr1_chr2_variants_truthset.txt: types, position, size and genotype of HuRef indels used in Ning Wang, et al.

CrossDomainTypes4Py: A Python Dataset for Cross-Domain Evaluation of Type Inference Systems

This dataset contains python repositories mined on GitHub on January 20, 2021. It allows a cross-domain evaluation of type inference systems. For this purpose, it consists of two sub-datasets, each containing only projects from the web or scientific calculation domain, respectively. Therefore we searched for projects with dependencies to either <a href="https://numpy.org/">NumPy</a> or <a href="https://flask.palletsprojects.com/en/2.0.x/">Flask</a>. Furthermore, only projects with dependencies to <a href="http://mypy-lang.org/">mypy</a> were considered, because this should ensure that at least parts of the projects have type annotations. These can be used later as ground truth. Further details about the dataset will be described in an upcoming paper, as soon as it is published it will be linked here. The dataset consists of two files for the two sub-datasets. The web domain dataset contains 3129 repositories and the scientific calculation domain dataset contains 4783 repositories. The files have two columns with the URL to the GitHub repository and the used commit hash. Thus, it is possible to download the dataset using shell or python scripts, for example, the pipeline provided by <a href="https://github.com/saltudelft/many-types-4-py-dataset">ManyTypes4Py</a> can be used. If repositories do not exist anymore or are private, you can contact us via the following email address: bernd.gruner@dlr.de. We have a backup of all repositories and will be happy to help you.

openmit-licenseJan 2022View details →

Replication Package for "Evaluating SZZ Implementations Through a Developer-informed Oracle"

This is the replication package for the paper "Evaluating SZZ Implementations Through a Developer-informed Oracle" published in the 43rd International Conference on Software Engineering (ICSE 2021). <a href="https://arxiv.org/abs/2102.03300">https://arxiv.org/abs/2102.03300</a>

Benchmarks for ApproxCov and ApproxMaxCov algorithms evaluation

This deposit contains the benchmarks used for the evaluation of ApproxCov and ApproxMaxCov algorithms and their extensions. Implementations of the algorithms can be found at https://github.com/meelgroup/approxcov. The folder two_values/cnf contains constraints of configurable systems. It is a subset of benchmarks from https://zenodo.org/record/4022395 and https://zenodo.org/record/3793090. In this set of benchmarks all features can have two values. The folder two_values/samples contains sets of configurations computed with baital, quicksampler, and waps tools. The folder mult_values contains samples and constraints of configurable systems where features can have finite number of values. These benchmarks are taken from the evaluation materials of the paper [1] and are converted to the input format of ApproxCov and ApproxMaxCov algorithms. [1] Brady J Garvin, Myra B Cohen, and Matthew B Dwyer. 2009. An improved meta-heuristic search for constrained interaction testing. In 2009 1st International Symposium on Search Based Software Engineering. IEEE, 13–22.

Evaluation of a Novel 8-Channel RX Coil for Speech Production at 0.55 T DATASET.

This dataset contains raw imaging MRI data used in SNR evaluation for 4 subjects. For all scans, volumetric data of the upper airway was obtained using a 3D spoiled gradient echo sequence with either a speech coil, a head coil, or an integrated body coil. Imaging parameters were: flip angle = 10, TE = 5 ms, TR = 10 ms, FOV = 32x32x16 cm^3, resolution = 2.5 x 2.5 x 5 mm^3.  Pre-scan noise information for each scan is also included.

Data for: Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of in vitro and in vivo bioassays

This repository contains research data linked to the following publication: Kienle, C., Werner, I., Fischer, S., Lüthi, C., Schifferli, A., Besselink, H., Langer, M., McArdell, C.S. and Vermeirssen, E.L.M.  2022.  Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of in vitro and in vivo bioassays. Water Research, 118084. https://doi.org/10.1016/j.watres.2022.118084 Abstract: Micropollutants present in the effluent of wastewater treatment plants (WWTPs) after biological treatment are largely eliminated by effective advanced technologies such as ozonation. Discharge of contaminants into freshwater ecosystems can thus be minimized, while simultaneously protecting drinking water resources. However, ozonation can lead to reactive and potentially toxic transformation products. To remove these, the Swiss Federal Office for the Environment recommends additional "post-treatment" of ozonated WWTP effluent using sand filtration, but other treatments may be similarly effective. In this study, 48 h composite wastewater samples were collected before and after full-scale ozonation, and after post-treatments (full-scale sand filtration, pilot-scale fresh and pre-loaded granular activated carbon, and fixed and moving beds). Ecotoxicological tests were performed to quantify the changes in water quality following different treatment steps. These included standard in vitro bioassays for the detection of endocrine, genotoxic and mutagenic effects, as well as toxicity to green algae and bacteria, and flow-through in vivo bioassays using oligochaetes and early life stages of rainbow trout. Results show that ozonation reduced a number of ecotoxicological effects of biologically treated wastewater by 66 - 93 %: It improved growth and photosynthesis of green algae, decreased toxicity to luminescent bacteria, reduced concentrations of hormonally active contaminants and significantly changed expression of biomarker genes in rainbow trout liver. Bioassay results showed that ozonation did not produce problematic levels of reaction products overall. Small increases in toxicity observed in a few samples were reduced or eliminated by post-treatments. However, only relatively fresh granular activated carbon (analyzed at 13,000 - 20,000 bed volumes) significantly reduced effects additionally (by up to 66 %) compared to ozonation alone. Inhibition of algal photosynthesis, rainbow trout liver histopathology and biomarker gene expression proved to be sufficiently sensitive endpoints to detect the change in water quality achieved by post-treatment.

Data used to evaluate ORBITS: Optimal Repair-Based Inconsistency-Tolerant Semantics

This dataset provides the input files that were used in the evaluation of the ORBITS system (Optimal Repair-Based Inconsistency-Tolerant Semantics, <a href="https://github.com/bourgaux/orbits">https://github.com/bourgaux/orbits</a>). A detailed description is available in a technical report on arXiv (<a href="https://arxiv.org/abs/2202.07980">https://arxiv.org/abs/2202.07980</a>). Content: Folders cqapri_benchmark, food_inspection_benchmark, and physicians_benchmark contain JSON files of conflict graphs and candidate queries and their causes. These files are named using the following pattern: files of candidate answers and their causes are named <database>_<query>_answers_causes.json, and conflict graphs are named <database>_conflictGraph_<priority relation>.json where <priority relation> says whether the priority relation is score-structured (prio_score) or not (prio_non_score) and the probability (p<proba>) or number of scores (n<number>) used to build the priority relation. Folder original_datasets_and_queries contains the Food Inspection and Physicians datasets used to generate files from food_inspection_benchmark and physicians_benchmark. Files from cqapri_benchmark have been generated from the CQAPri benchmark available at <a href="https://lahdak.lri.fr/CQAPri/CQAPri.php">https://lahdak.lri.fr/CQAPri/CQAPri.php</a>. In all cases, we use ProvSQL (<a href="https://github.com/PierreSenellart/provsql">https://github.com/PierreSenellart/provsql</a>) to build conflict graphs and causes from the datasets.

Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v3.0)

Agricultural land resources – a global suitability evaluation (v3.0) Local climate, soil and topography determine the conditions under which agricultural crops are suitable for growth or not. The methodology uses a fuzzy logic approach that is described in Zabel et al. (2014). The approach is based on Liebig's law of the minimum. Accordingly, plant suitability is determined not by total available resources, but by the scarcest resource. The limiting factor depends on the local environmental conditions and the crop-specific requirements, that are taken from literature.  Determining Agricultural Suitability Agricultural suitability is calculated for each of 5 climate models (GFDL, HadGEM2, IPSL, MIROC and NorESM1) from the AR5 ISIMIP fast track protocol. Daily climate model data for temperature, precipitation and solar radiation are statistically downscaled to 30 arc seconds spatial resolution. A monthly bias-correction is applied using WorldClim data. The provided suitability data refers to the model median over the 5 climate simulations. Soil data is taken from the Harmonized World Soil Database (HWSD) v1.21. Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Soil depth is taken into account according to Pelletier et al. (2015). Topography data is applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the suitability of crops and is considered in this approach. Agricultural Suitability The agricultural suitability data is provided at a spatial resolution of 30 arc seconds (approximately 1 km2 at the equator). The dataset contains four time periods (1980-2009, 2010-2039, 2040-2069, 2070-2099) and two climate change scenarios (RCP2.6 and RCP 8.5). Agricultural suitability is provided for rainfed conditions and for irrigated conditions seperately. Additionally, we provide a dataset in which the current irrigation areas according to Maier et al. (2018) are applied. The suitability is provided for 23 food, feed, fibre, and 1st and 2nd generation bio-energy crops. An 'overall suitability' is provided for all crops that considers the most suitable crop on each pixel. Additionally, we provide a dataset excluding 2nd generation bioenergy crops (18-23) from the overall aggregation of crops. <table> <caption>Food, feed, fiber and first-generation bioenergy crops</caption> <tbody> <tr> <td>Barley</td> <td>Potato</td> <td>Sugarbeet</td> </tr> <tr> <td>Cassava</td> <td>Rapeseed</td> <td>Sugarcane</td> </tr> <tr> <td>Groundnut</td> <td>Rice</td> <td>Sunflower</td> </tr> <tr> <td>Maize</td> <td>Rye</td> <td>Summer wheat</td> </tr> <tr> <td>Millet</td> <td>Sorghum</td> <td>Winter wheat</td> </tr> <tr> <td>Oilpalm</td> <td>Soybean</td> <td> </td> </tr> </tbody> </table> <table> <caption> Second-generation bioenergy crops </caption> <tbody> <tr> <td>Jatropha</td> <td>Reed canary grass</td> </tr> <tr> <td>Miscanthus</td> <td>Eucalyptus</td> </tr> <tr> <td>Switchgrass</td> <td>Willow</td> </tr> </tbody> </table> Growing Season Adaptation The agricultural suitability considers the adaptation of the growing season. For each pixel and crop, the growing season is optimized throughout the year, taking the annual course of precipitation, temperature, and solar radiation as well as their interplay, into account. Most Suitable Crop The most suitable crop for each pixel is provided in the data. Please note that a value of 126 means that no crop suitable and 127 means that multiple crops have the same suitability. Further information Detailled information are available in the following publications: Zabel F, Putzenlechner B, Mauser W (2014) Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions. PLOS ONE 9(9): e107522. doi: <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0107522">10.1371/journal.pone.0107522</a> Cronin, J., Zabel, F., Dessens, O., Anandarajah, G. (2020): Land suitability for energy crops under scenarios of climate change and land-use. GCB Bioenergy, 12(8). doi: <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12697">10.1111/gcbb.12697</a> Schneider. J.M., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies. Scientific Data 9, 527. doi: <a href="https://doi.org/10.1038/s41597-022-01632-8">10.1038/s41597-022-01632-8</a> Meier, J., Zabel, F., Mauser, W. (2018): A global approach to estimate irrigated areas – a comparison between different data and statistics. Hydrol. Earth Syst. Sci., 22, 1119–1133, 2018. doi: <a href="https://hess.copernicus.org/articles/22/1119/2018/">10.5194/hess-22-1119-201</a> Pelletier, J. D., Broxton, P. D., Hazenberg, P., Zeng, X., Troch, P. A., Niu, G.-Y., Williams, Z., Brunke, M. A., and Gochis, D. (2016), A gridded global data set of soil, immobile regolith, and sedimentary deposit thicknesses for regional and global land surface modeling, J. Adv. Model. Earth Syst., 8, 41– 65, doi: <a href="https://doi.org/10.1002/2015MS000526">10.1002/2015MS000526</a>. Improvements in v3.0 Compared to the previous version (<a href="https://zenodo.org/record/3748350">v2.0</a>), this version (v3.0) uses updated input data for soil (HWSD v1.21) and high resolution irrigated areas (Maier et al. 2018), and additionally considers soil depth (Pelletier et al. 2016). Moreover, the suitability is calculated for an ensemble of 5 climate models, and is available for more crops, including a number of second generation bioenergy crops. Contact Please contact: Dr. Florian Zabel, <a href="mailto:f.zabel@lmu.de">f.zabel@lmu.de</a>, Department of Geography, LMU München (<a href="http://www.geografie.uni-muenchen.de">www.geografie.uni-muenchen.de</a>)

Numerical Evaluation of Spin Foam Amplitudes beyond simplices

Dataset containing intertwiners and vertex amplitude evaluations for cuboid and frustum data associated with the paper arXiv:2201.09902. Data comes in two groups, one for cuboid boundary data, one for frustum boundary data of the coherent vertex amplitude. Intertwiner data are stored as text files, where the name of the files contain the three representations necessary to specify either cuboid or frustum intertwiners. Folders results contain the evaluations of vertex amplitudes. Again, the files contain all representations necessary to specify the hypercuboid (six representations) or hyperfrustum (three representations). See the paper for more details. (To get the actual values of the spins, they need to be devided by 2.) Code to automatically read in the intertwiner files and compute the vertex amplitude can be found at: https://github.com/CourtA96/SpinfoamAmplitudesOfCuboidsAndFrustra

Data of "Durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method"

The dataset found here is related to the crack width measurements and water permeability tests performed in a study investigating the durability of self-healing cementitious systems with encapsulated polyurethane evaluated with a new pre-standard test method.

Dataset created in the context of the project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field"

The project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field", whose website is https://datause.es/, is a project funded by the Ministry of Science and Innovation - State Research Agency, with reference PID2019-105708RB-C22. Within the framework of the project, a bibliographic search is carried out in all thematic categories of the Web of Science (WoS) related to agriculture and related areas. The search equation included the following categories: WC = (FOOD SCIENCE TECHNOLOGY OR PLANT SCIENCES OR FORESTRY OR AGRICULTURAL ENGINEERING OR AGRONOMY OR HORTICULTURE OR AGRICULTURE DAIRY ANIMAL SCIENCE OR AGRICULTURE MULTIDISCIPLINARY OR AGRICULTURAL ECONOMICS POLICY)  This data set shows the distribution of journals and the quartile they occupy in each of the thematic categories in 2019, with the aim of serving researchers in this area and for future data mining.

Evaluating the Usability of Open Source Frameworks in Energy System Modelling (Supplementary Material)

Dataset and source code for analysis of the Energy System Modelling Usability Testing (ESMUT) procedure applied in the open_MODEX project. This is supplementary material for  the publication: <pre>Berendes et al. (2022). Evaluating the Usability of Open Source Frameworks in Energy System Modelling. Renewable and Sustainable Energy Reviews. DOI: <a href="https://doi.org/10.1016/j.rser.2022.112174">https://doi.org/10.1016/j.rser.2022.112174</a></pre>

opencc-by-4.0Apr 2015View details →

Landfill: An open dataset of code smells with public evaluation

Code smells are symptoms of poor design and implementation choices that may hinder code comprehension and possibly increase the change- and fault-proneness of source code. Several techniques have been proposed in the literature for detecting code smells. These techniques are generally evaluated by comparing their accuracy on a set of detected candidate code smells against a manually-produced oracle. Unfortunately, such comprehensive sets of annotated code smells are not available in the literature, with only a few exceptions. This dataset provides 243 instances of five types of code smells identified from 20 open-source software projects. In particular, it contains a SQL file with the information concerning such instances and a zip file with their source code.

Evaluating Translational Methods for Personalised Medicine

This dataset provides the data extracted for the scoping review of the literature on preclinical models for personalised medicine, as part of the EU project on “Personalised Medicine Trials” (PERMIT). It covers the references for all articles selected as part of the scoping review of the two case models chosen, oncology and brain disorders.

Managing innovation - how to evaluate costs/benefits and plan for the future

A guest seminar offered by SCImPULSE Foundation CFO Stef Cuijpers for the University of Parma (IT) master "ARTE" https://www.masterarte-unipr.it/