Find research datasets worth reusing

opencc-by-4.0Aug 2022View details →

Appendices/Supplementary materials to Hägele, S., Grosse, E.H. and Ivanov, D. (2023) 'Supply chain resilience: a tertiary study', International Journal of Integrated Supply Management, 16 (1), 52-81. https://doi.org/10.1504/IJISM.2023.127660

This document contains supplementary material to the article: Hägele, S., Grosse, E.H. and Ivanov, D. (2023) 'Supply chain resilience: a tertiary study', International Journal of Integrated Supply Management, 16 (1), 52-81. https://doi.org/10.1504/IJISM.2023.127660

opencc-by-4.0Aug 2022View details →

Supplementary Material for the paper "Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells"

Supplementary material for the paper "Daniel Oliveira; Wesley K. G. Assunção; Alessandro Garcia; Baldoino Fonseca; and Márcio Ribeiro. Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells. In: Empirical Software Engineering. 2022. Springer."

opencc-by-4.0Aug 2022View details →

Strategies, Benefits and Challenges App Store-inspired Requirements Elicitation - Supplementary Material

This is the supplementary material for the paper "Strategies, Benefits and Challenges App Store-inspired Requirements Elicitation".  Abstract: App store-inspired elicitation is the practice of exploring competitors’ apps, to get inspiration for requirements. This activity is common among developers, but little insight is available on its practical use, advantages and possible issues. This paper aims to study strategies, benefits and challenges of app store-inspired elicitation, and compare this technique with more traditional requirements elicitation interviews. We conduct an experimental simulation with 58 analysts, and collect qualitative data. Our results show that specific guidelines and procedures are required to better conduct app store-inspired elicitation. Furthermore, current search features made available by app stores are not suitable for this practice, and more tool support is required to help analysts in the retrieval and evaluation of competing products. While interviews focus on the why dimension of requirements engineering (i.e., goals), app store-inspired elicitation focuses on how (i.e., solutions), offering indications for implementation and improved usability. Our study provides a framework for researchers to address existing challenges, and suggests possible benefits to foster app store-inspired elicitation among practitioners. The package contains the following files: 1.Protocol.pdf - it describes in details the steps of the protocol and the intermediate results obtained during the execution. 2. Codebooks: 2.a. Codebook Strategies: codebook of the strategies to select apps 2.b Codebook Benefits: codebook of the benefits of use IBE (sheet 1) and ASE (sheet 2) 2.c Codebook Challenges: codebook of the challenged of use IBE (sheet 1) and ASE (sheet 2) 2.d Differences IBE-ASE: table of the identified (categorized) differences between IBE and ASE 3. Labelled Data  3.a Strategies - labelled data: the file contains the name of the selected apps, the motivation behind the selection, and the themes assigned to them (refer to 2.a for explanation of the themes). 3.b Benefits IBE - labelled data: the file contains the extract of the raw data about IBE benefits and the  themes assigned (refer to 2.b for explanation of the themes). 3.c Challenges IBE - labelled data: the file contains the extract of the raw data about IBE challenges and the themes assigned (refer to 2.c for explanation of the themes). 3.d Benefits ASE - labelled data: the file contains the extract of the raw data about ASE benefits and the themes assigned (refer to 2.b for explanation of the themes). 3.e Challenges ASE - labelled data: the file contains the extract of the raw data about IBE benefits and the themes assigned (refer to 2.c for explanation of the themes). 4. Raw data.xls: it contains the raw data used in the work (two sheets, one for strategies and one for reflections). 5. SLR data: data related to the lightweight systematic literature review  5.a Codebook Scopus.xlsx: codebook for the themes elicited from the SLR. The themes are also present in the files in the folder Codebooks. 5.b SLR-scopus-results-and-selected.xlsx: results of the search string, and, in green, the selected papers.  6. Readme.txt: summary file.  Note that some of the row in Raw data.xls (and in the corresponding "Labelled Data" files)  are substituted with N/A. This corresponds to those participants who asked to not publicly share their responses.

dryad40/100

Supplementary material: Does functional redundancy determine the ecological severity of a mass extinction event?

Many authors have noted the apparent "decoupling" of the taxonomic and ecological severity of mass extinction events, with no widely accepted mechanistic explanation for this pattern having been offered. Here we test between two key factors that potentially influence ecological severity: biosphere entropy (a measure of functional redundancy), and the degree of functional selectivity (in terms of deviation from a pattern of random extinction with respect to functional entities). While theoretical simulations suggest that the Shannon entropy of a given community prior to an extinction event determines the expected outcome following a perturbation of a given magnitude, actual variation in Shannon entropy between major extinction intervals is insufficient to explain the observed variation in ecological severity. Within this information-theoretic framework, we show that it is the degree of functional selectivity which is expected to primarily determine the ecological impact of a given perturbation when levels of functional redundancy are not substantially different.

opencc-zeroDec 2021View details →

Data from: Crowdsourcing training material for automated bird sound classification – a pilot study

Data from the manuscript "Crowdsourcing training material for automated bird sound classification – a pilot study" by Petteri Lehikoinen, Meeri Rannisto, Ulisses Camargo, Aki Aintila, Patrik Lauha, Esko Piirainen, Panu Somervuo & Otso Ovaskainen

Supplementary material S1. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the habitus.

Supplementary material S1 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kari&scaron;s K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first Ptilodactyla Illiger, 1807 records from Rovno amber of Ukraine. Historical Biology.

Supplementary material S2. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the forelegs.

Supplementary material S2 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairi&scaron;s K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first Ptilodactyla Illiger, 1807 records from Rovno amber of Ukraine. Historical Biology.

opencc-by-4.0Nov 2021View details →

Training data for 'Repeat masking with RepeatMasker' tutorial (Galaxy Training Material)

Data needed for the 'Repeat masking with RepeatMasker' tutorial (Galaxy Training Material). The assembly was generated following the 'Genome assembly using PacBio data' tutorial

Supplementary material S3. Ptilodactyla eocenica Kundrata, Bukejs and Blank, 2021, male, SIZK ZH-85, X-ray micro-CT volume rendering of the hind legs.

Supplementary material S3 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairi&scaron;s K., Vasilenko D.V., Bukejs A. Revealing Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first Ptilodactyla Illiger, 1807 records from Rovno amber of Ukraine. Historical Biology.

Water Isotherms of Adsorbent Materials Evaluated in the Hycool Project

This data is a collection of water adsorption equilibria measured on a selection of water adsorbent materials. They were produced by E. Piccoli (Empa) and revised by V. Brancato and A. Frazzica (CNR-ITAE) and by S. Galmarini (Empa). The methods used to characterize the materials are described in [1], using a DVS Endeveour instrument from SMS. More details can be found in [2]. This work was performed in the framework of the project "HyCool: Industrial Cooling through Hybrid system based on Solar Heat", funded by the European Commission H2020 Programme under Grant Agreement No. 792073.

opencc-by-4.0Jun 2022View details →

Supplementary Materials - videos - for 'The root to the Galápagos mantle plume on the core-mantle boundary' by Cottaar et al.

Movie S1. Animation of interaction between the wavefront and the ultra-low velocity zone for Event A using a modified version of the wavefront tracker by (Hauser et al., 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014)  and the ultra-low velocity zone.    Movie S2. Animation of interaction between the wavefront and the ultra-low velocity zone for Event B using a modified version of the wavefront tracker by (Hauser et al., 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone.    Movie S3. Animation of interaction between the wavefront and the ultra-low velocity zone for Event C using a modified version of the wavefront tracker by (Hauser et al., 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone.    Movie S4. Animation of interaction between the wavefront and the ultra-low velocity zone for Event D using a modified version of the wavefront tracker by (Hauser et al., 2008). Only horizontal propagation is considered. Event location - blue star, seismometer locations – blue triangles. Velocities show the shear wave velocity deviations at 2800 km depth from the tomographic SEMUCB-WM1 (French and Romanowicz, 2014) and the ultra-low velocity zone.

opencc-by-4.0Jun 2022View details →

Supplementary Materials - videos - for 'The root to the Galápagos mantle plume on the core-mantle boundary' by Cottaar et al.

[Supplementary material] Automated Code Generation for Inter-parameter Dependencies in REST APIs

This is the supplementary material of the paper entitled  Automated Code Generation for Inter-parameter Dependencies in REST APIs.

opencc-by-4.0Jul 2022View details →

Supplementary Materials of Bacillus subtilis Protects the Ducks from Oxidative Stress Induced by Escherichia coli: Efficacy and Molecular Mechanism

Figure S1: The KEGG classification of DEGs; Table S1: Analysis composition of basal diets and nutrient level (air-dry basis, %); Table S2: Primers used for the RT-qPCR in this study.

Supplemental materials for "Benchmarking magnetized three-wave coupling for laser backscattering: Analytic solutions and kinetic simulations"

Place the unzipped Data and Programs folders in the same directory. The contents of these folders are as follows: <ul> <li>Data Post processed data underlying each figure in the paper. The data files are .txt files with self-contained explanations. The files are organized in subfolders according to their purposes. </li> <li>Programs <ul> <li>./PlotFigures Contains python scripts for reading and plotting Data</li> <li>input.deck Example input for EPOCH PIC code that generates raw data </li> <li>setup_batch.csh Linux/Unix shell script for setting up batch simulations</li> <li>submit_batch Slurm script for submitting jobs on computing clusters</li> </ul> </li> </ul>

The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"

The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article.   Table S1. Upregulated genes in Group B versus Groups A and C+D.   Table S2. Downregulated genes in Group B versus Groups A and C+D.   Table S3. The enriched GO terms in Group B versus Groups A and C+D.   Table S4. The enriched KEGG pathways in Group B versus Groups A and C+D.   Figure S1. The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes.

supplementary-material-for-egusphere-2022-1032

This repository contains the codes and data necessary to reproduce the results of the following manuscript: Title: Detection of slow changes in terrestrial water storage with GRACE and GRACE-FO satellite gravity missions Author(s): Julia Pfeffer, Anny Cazenave, Alejandro Blazquez, Bertrand Decharme, Simon Munier, and Anne Barnoud MS No.: egusphere-2022-1032 MS type: Research article Iteration: Initial submission The codes require a working installation of python3 with the following packages installed: numpy, scipy, matplotlib, netCDF4, astropy, geopandas, datetime and basemap. Once a working environment is installed, the user may simply run the python script in the same directory as the data, shapefiles and Figures directory. The data include the fully processed datasets, as described in the section 2 of the manuscript, including: - 9 GRACE solutions (JPL mascon, CSR mascon, GSFC mascon, JPL spherical harmonics, CSR spherical harmonics, GFZ spherical harmonics, ITSG spherical harmonics, COST-G spherical harmonics, CNES-GRGS spherical harmonics), - 2 global hydrological models (ISBA-CTRIP and WGHM) ,and, - a correction for lake water storage changes based on the hydroweb database. The detailed processing is described in the section 2 of manuscript. All datasets have been monthly averaged, interpolated on aregular 1 degree grid using a conservative algorithm,  seasonal signals (modeled as the sum of an annual and a semi-annual sinusoids) have been removed and  an isotropic diffusive filter has been applied at 250 km.   Users interested intermediate processing steps will find a Python implementation of the diffusion filter in open access at https://github.com/ogoux/diffusion_filter.

MarsQuakeNet: A More Complete Marsquake Catalogue Obtained by Deep Learning Techniques (Supporting Material, JGR Planets)

Supporting Material (JGR Planets, 2022JE007503) - contains: <ul> <li>Extended marsquake catalogue</li> <li>List of all detections</li> <li>Sol-wise predictions</li> <li>Snapshot of MarsQuakeNet code</li> </ul> MarsQuakeNet code (dynamic version) also available from: https://github.com/niko-d/MarsQuakeNet.git

opencc-by-4.0Dec 2021View details →

Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner

Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019).