Find research datasets worth reusing

opencc-by-4.0Jun 2021View details →

Carbon emission and lifecycle costs supporting digital twins for managing railway maintenance and resilience

The development of railway construction increases the system complexity, which results in difficulty in management with traditional methods. Building Information Modelling (BIM) as an interoperable concept is benefits via whole life-cycle assessment (LCA) of the project, and it has been widely adopted in architecture, construction, and engineering (ACE) fields. This dataset of lifecycle cost and carbon footprint supports the digital twins for managing railway maintenance and resilience.

opencc-by-4.0Jun 2021View details →

Electrochemical and Spectroscopic Data supported by Computational Models for Exploring the Metal- and Ligand-Based Oxidation of Mackinawite Nanoparticles

Supporting information to our study, where under anaerobic conditions, ferrous iron reacts with sulfide producing FeS precipitate, which can then undergo a temperature, redox potential, and pH dependent maturation process resulting in the formation of oxidized mineral phases such as gregite or pyrite. The dataset provide information about the chemical speciation of iron-sulfide by cyclic voltammetry, Raman and X-ray absorption spectroscopic techniques. Nanoparticulate FeS was found to get oxidized to a Fe3+ containing FeS phase at -0.5 V vs. Ag/AgCl (pH = 7) and in a concomitant oxidation step, polysulfides are proposed to give a material described as Fe2+(1−3x)Fe3+(2x)S2-(1-y)(Sn2-)y. The thermodynamic differences between ligand- and metal-based oxidation processes from density functional theory can be used to describe one- and two-electron electronic and structural transformations. These findings together point to the existence of a previously unknown, metastable FeS phase located between FeS and greigite (Fe2+Fe3+2S2-4) along a metal oxidation path, and Fe2+S2- and pyrite (Fe2+S22-) along a ligand oxidation path, respectively.

opencc-by-4.0Jul 2021View details →

Exploring the economic, social, and environmental dimensions of community-supported agriculture in Italy (dataset)

Dataset inherent to the following article: Medici, M., Canavari, C., Castellini, A., 2021. Exploring the economic, social, and environmental dimensions of community-supported agriculture in Italy, Journal of Cleaner Production, 316, 128233, DOI: <a href="https://doi.org/10.1016/j.jclepro.2021.128233">10.1016/j.jclepro.2021.128233</a>

opencc-by-4.0Jun 2021View details →

The metal content of the hot atmospheres of galaxy groups - supporting data

Supporting data used to generate the figures included in the review chapter "The metal content of the hot atmospheres of galaxy groups", to appear in the MDPI journal "Universe". These values were collected and compiled from existing literature; each text file lists the relevant references to the original articles where various sets of results were initially published.

Visualization and perception of data gaps in the context of Citizen Science projects: Video tutorial support

Online experiment about the influence of the availability of a video tutorial on proportion of correct responses and subjective evaluation of the task (NASA-TLX). Two different tasks were given. The evaluation of statements on a map and the selection of grid fields that met a given requirement.

Supporting data for "Dispersive sensing of charge states in a bilayer graphene quantum dot"

Supporting data and analysis scripts for all figures in the article "Dispersive sensing of charge states in a bilayer graphene quantum dot", Appl. Phys. Lett. 118, 093104 (2021); <a href="https://doi.org/10.1063/5.0040234">https://doi.org/10.1063/5.0040234</a> The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information.  The following versions of Pyhton and the packages have been used: python: 3.6.10 numpy: 1.18.1 matplotlib: 3.1.3 scipy: 1.4.1

Setting files from: Spatially explicit paleogenomic simulations support cohabitation with limited admixture between Bronze Age Central European populations.

Simulated Data and Custom Scripts This dataset release permits to simulate the expansion of populations from the Pontic Steppes to Central Europe with the version of SPLATCHE3 which is included. There are 2 main zipped folders: i) the one called "SPLATCHE3executableAndSettings" contains a "ReadMe.txt" file that contains all required information to make the simulations: the resulting ".prop" file contains proportions of genomic ancestry of the P2 layer, ancestry from P1 layer is equal to 1-(proportion from P2) ; ii) the other one called "HowToMakeFigure2" contains the R script and the tables necessary to reproduce Figure 2. See Rio J, Quilodrán CS & Currat M., Communications Biology (2021), for background. Acknowledgments This project was financially supported by the Swiss National Research Foundation grants n° 31003A_182577 to MC and n° P400PB_183930 to CQ, as well as the IGE3 Student Salary Award to JR.

Supporting data: "RECEIPT D7.3: Future climate scenarios: sea level rise and sea ice extent"

This is the supporting data for deliverable D7.3 from work package 7 ( Sea level rise, infrastructure and coastal flooding ) of the RECEIPT H2020 project (No 820712). Deliverable 7.3 describes the development of future SLR (sea level rise) and sea ice extent scenarios. Each SLR contributor (e.g. thermal expansion, instability of Antarctic and Greenland ice sheets, melting glaciers, ocean circulation and land water storage) are included in the assessment (KNMI, Task 7.4). Sea ice extent is derived from CMIP5/6. This dataset is composed of three compressed files: cmip5_zos_zostoga_v2.zip and cmip6_zos_zostoga_v2.zip: Netcdf files of ocean thermal expansion and ocean dynamics computed from zos and zostoga data from the ESGF nodes. data_RECEIPT_D73.zip: Netcdf files of three sea level scenarios. Data is provided globally but scenarios are designed for the European coast.

opencc-by-4.0Sep 2017View details →

Dataset supporting the paper 'Integration of SMT-LIB Support into Maple'

This dataset provides a listing of all distinct queries to the Maple commands is and coulditbe which occurred in the course of a complete run through the Maple library test suite using Maple 2017 on 26 July 2017. The results include: <ul> <li>24085 distinct queries to is (which tests if a given proposition holds universally) - see file is_queries.txt</li> <li>5771 distinct queries to coulditbe (which tests if given proposition is satisfiable) - see file coulditbe_queries.txt</li> </ul> The files are plaintext and each line corresponds to a distinct query. Queries are in Maple syntax and adhere to one of the following patterns: <ul> <li>coulditbe(X)</li> <li>coulditbe(X) assuming Y</li> <li>is(X)</li> <li>is(X) assuming Y</li> </ul> Here, X is the expression being tested (in Maple syntax) and Y is an expression sequence of one or more assumptions on symbols appearing in X. <ul> </ul>

opencc-by-4.0Aug 2020View details →

Data for: "Carbon dioxide reduction by lanthanide(III) complexes supported by redox-active Schiff base ligands"

RAW DATA FOR ARTICLE DATE: NOVEMBER 2022 TITLE: Carbon dioxide reduction by lanthanide(III) complexes supported by redox-active Schiff base ligands AUTHORS: Nadir Jori, Davide Toniolo, Bang C. Huynh, Rosario Scopelliti, and Marinella Mazzanti* JOURNAL: Inorganic Chemistry Frontiers (RSC) 2020 DOI:  <a href="https://doi.org/10.1039/D0QI00801J">10.1039/D0QI00801J</a>

Supporting Data -- Evaluating Mask R-CNN Models to Extract Terracing across Oceanic High Islands: an example from Sāmoa.

This dataset provides supplemental information for the manuscript, "Diverse terracing practices revealed by automated lidar analysis across the Sāmoan islands", submitted to Archaeological Prospection. The dataset contains a trained Mask R-CNN deep learning model designed for detecting archaeological terracing features on the islands of American Samoa, associated training data, and the raw and cleaned output of detected terraces.

Supporting data for the manuscript: "The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback"

This repository contains supporting data for the manuscript "The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback" in Geophysical Research Letters. Detailed descriptions of these datasets can be found in the manuscript text as well as in the file descriptions.

Data file supporting The congruence speed formula

Data file showing the direct computation of hundreds of thousands values of the constant congruence speed of the base \(a : a \not\equiv 0 \pmod {10}\) in radix-\(10\), confirming the inverse map provided by the paper entitled <a href="https://arxiv.org/abs/2208.02622">The congruence speed formula</a>. <pre>  </pre>

Data to support Whitney JL, Coleman RR, Deakos MH "Genomic evidence indicates small island-resident populations and sex-biased behaviors of Hawaiian Reef Manta Rays"

Datasets supporting the manuscript: Whitney JL, Coleman RR, Deakos MH "Genomic evidence indicates small island-resident populations and sex-biased behaviors of Hawaiian Reef Manta Rays". BMC Ecology and Evolution 23, 31 (2023). https://doi.org/10.1186/s12862-023-02130-0 Nuclear data: "Mobula-alfredi_nuclear_reference_RAD_contigs.fasta" is a fasta of 359,751 contigs that serve as the reference for nuclear alignment of genotypes to RAD loci. Contigs begin and end with GATC cut site. Mobula-alfredi_nuclear_all_2048snps_38genotypes.vcf is a VCF file with all 2048 nuclear SNPs in final filtered SNP dataset. 38 genotypes are included from Maui Nui and Hawaii Island. This 2048 SNPs includes both 2038 neutral and 10 outlier SNPs.  Mobula-alfredi_nuclear_neutral_2038snps_38genotypes.vcf is a VCF file with 2038 neutral nuclear SNPs genotyped in 38 individuals from Maui Nui and Hawaii Island.  Mobula-alfredi_nuclear_outliers_10snps_38genotypes.vcf is a VCF file with 10 outlier SNPs genotyped in 38 individuals from Maui Nui and Hawaii Island.  Structure (.str) files are also provided in addition to VCFs. In all files Population prefixes M=Maui Nui and K=Hawaii Island.  Mitochondrial data: Mobula-alfredi_mitogenome_34haplotypes_9sites_min4x.vcf is a VCF file with 9 variant sites across the mitogenome haplotyped in 34 individuals from Maui Nui and Hawaii Island.  Mobula-alfredi_mitogenome_34haplotypes_allsites_min4x.fasta is a FASTA file with whole mitogenomes aligned to OP562409 [https://www.ncbi.nlm.nih.gov/nuccore/OP562409]. Sites with less than 4x coverage were masked with Ns.  Mobula-alfredi_mitogenome_reference_OP562409.fasta is a FASTA file containing the Mobula alfredi reference mitogenome OP562409 [https://www.ncbi.nlm.nih.gov/nuccore/OP562409].

Dataset supporting publication: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol."

DATASET suporting: "A novel ROM methodology to support the estimation of the energy savings under the Measurement and Verification protocol." Piccinini, Alessandro; Hajdukiewicz, Magdalena; D'Angelo, Letizia; Blanes, Luis Miguel; Keane, Marcus M. This paper presents a novel Reduced Order grey box Model (ROM) methodology, based on a ResistorCapacitor (RC) network, which supports the creation of the baseline energy consumption and the estimation of energy savings due to Energy Conservation Measures (ECMs) under the Measurement and Verification protocol. Within this scope, a description of the RC network, including a calculation of the parameters’ needed to execute the ROM, are presented. This ROM methodology is demonstrated on an educational building located in Sant Cugat, Spain as part of the H2020 GEOFIT project. The results presented in this paper demonstrate that the ROM is sufficiently accurate for the creation of the baseline energy consumption and for estimating the energy savings of different ECMs.

opencc-by-4.0May 2022View details →

Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction"

This dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations, bandstructures, phonon calculations, GIPAW-NMR calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador). Contents: <ul> <li>"convergence_tests.zip": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system</li> <li>"phonons.zip": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram</li> <li>"polish.zip": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures.</li> <li>"searches.zip": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system.</li> <li>"bulk_modulus.zip" contains CASTEP output files for calculation of E(V) curves for low-lying KP phases with different xc-functionals.</li> <li>"nmr.zip" contains CASTEP output files for GIPAW-NMR calculations of chemical shifts for low-lying K-Sn-P phases.</li> <li>"spectral.zip" contains CASTEP and OptaDOS output files for projected bandstructure and DOS calculations of low-lying K-Sn-P phases.</li> <li>"digests.zip" contains JSON representations of all the structures from polish and searches, broken down into K-P and K-Sn-P specific digests.</li> </ul>

opencc-by-4.0Aug 2022View details →

Orogens of Big Sky Country: Reconstructing the Deep-Time Tectonothermal History of the Beartooth Mountains, Montana and Wyoming, USA (Supporting Information)

Supporting datasets for Ronemus et al., "Orogens of Big Sky Country: Reconstructing the Deep-Time Tectonothermal History of the Beartooth Mountains, Montana and Wyoming, USA" in review at Tectonics as of August 16, 2022. Dataset S1. Detailed analytical settings and data for zircon U-Pb geochronology Dataset S2. Biotite 40Ar/39Ar analytic results Dataset S3. Zircon (U-Th)/He analytic results Dataset S4. Apatite and zircon grain photomicrographs with measurements Dataset S5. Apatite (U-Th-Sm)/He analytic results Dataset S6. QTQt input and results files   Datasets S1, S2, S3, and S5 are also available in the Tectonics submission supporting information.

opencc-by-4.0Feb 2023View details →

Samples of Rectified Transfemoral Sockets with Fuzzy-Logic-Based Decision Support System

This dataset contains sample rectified transfemoral sockets as an output of the fuzzy-logic DSS. This work was supported by the EU Horizon2020 research and innovation project SocketSense, No 825429. Relevant paper DOI: <a href="https://doi.org/10.3390/s21113743">https://doi.org/10.3390/s21113743</a>

opencc-by-4.0Feb 2023View details →

Data from: CoAct Citizen Science chatbot explores social support networks in mental health based on lived experiences

A data set on lived experiences in the context of social support in mental health, created within a Citizen Social Science project.  Societies around the world increasingly encounter wicked and complex problems, such as those related to mental health, environmental justice, and youth employment. CoAct as a EU-funded global effort addresses these problems by deploying Citizen Social Science.    Citizen Social Science is understood here as participatory research co-designed and directly driven by citizen groups sharing a social concern. This methodology wants to give citizen groups an equal ‘seat at the table’ through active participation in research, from the design to the interpretation of the results and their transformation into concrete actions. Citizens thus act as co-researchers and are recognised as in-the-field competent experts.    In Barcelona, a group of 32 co-researchers work together with the OpenSystems group, Universitat de Barcelona, the Catalan Federation of Mental Health (Federació Salut Mental Catalunya), and with the help of many others on a better understanding of informal social support networks in mental health in the project CoActuem per la Salut Mental (lit. “We act together for mental health”). The co-researchers, who are either persons with a personal history of mental health problems or are family members of the latter, contributed their personal experiences related to social support in the form of 222 micro-stories, each shorter than 400 characters, and most accompanied by an illustration by Pau Badia.   Those micro-stories form the heart of the first co-created Citizen Science chatbot, the code of which is open on <a href="https://github.com/Chaotique/CoActuem_per_la_Salut_Mental_Chatbot.git">https://github.com/Chaotique/CoActuem_per_la_Salut_Mental_Chatbot.git</a> . The Telegram chatbot sends them to participants on a daily basis over the course of a year and asks them either, whether they and/ or their close surrounding lived this experience, too (stories of type C), or, how they would or would have reacted in the presented situation (stories of type T). The answers of each participant can be contrasted with the individual participants’ answer to a 32-questions socio-demographic survey. Further, the timing of the messages is included to allow for a broader analysis.     The chatbot is still running, hence this data set will still be updated. For further information on the project CoAct, see <a href="https://coactproject.eu/">https://coactproject.eu/</a>. For further details on the co-creation process and purpose of the chatbot CoActuem per la Salut Mental, take a look on <a href="https://coactuem.ub.edu/">https://coactuem.ub.edu/</a>. Please direct your questions regarding the data set to coactuem[at]ub.edu.   Acknowledgements The CoAct project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 873048. We especially thank the co-researchers for the passion and time invested.