Find research datasets worth reusing

Data for the publication: "Development and In-Vivo Validation of a Portable Phosphorescence Lifetime-Based Fiber-Optic Oxygen Sensor"

This data set contains all raw data for the publication “Development and In-Vivo Validation of a Portable Phosphorescence Lifetime-Based Fiber-Optic Oxygen Sensor”: - Raw sensor data - Python scripts - particle photon scripts - CAD Drawings - PCB Designs

Dataset to publication: ''Magnetstein: An open source tool for quantitative NMR mixture analysis robust to low resolution, distorted lineshapes and peak shifts''

MANIQ (plugin for Mnova 14.3.1 software (Mestrelab Research, S. L., Spain)) and  ACD/TP (Targeted Profiling tool for ACD/Spectrus 2020.1.1 (Advanced Chemistry Development, Inc., ACD/Labs Ontario, Toronto, ON, Canada)) project files and raw experimental NMR data to: <table> <caption>Experiments obtained to Magnetstein with optimized parameters, Magnetstein with default parameters, ACD/TP and MANIQ.</caption> <tbody> <tr> <td>Exp. no.</td> <td>Problem</td> <td>Ingredients</td> </tr> <tr> <td>1</td> <td>large intensity differences between peaks</td> <td>α-pinene benzyl benzoate (in CDCl3)</td> </tr> <tr> <td>2</td> <td>peak overlap & contamination (extra peaks)</td> <td>imonene α-pinene (in CDCl3)</td> </tr> <tr> <td>3</td> <td>low resolution (43 MHz benchtop NMR spectrometer)</td> <td>benzyl benzoate isopropyl myristate limonene pinene</td> </tr> <tr> <td>4</td> <td>lineshape distortion (shim z1 & z2)</td> <td>actate alanine creatine creatinine choline chloride (in D2O)</td> </tr> <tr> <td>5</td> <td>peak position mismatch between library and mixture (different temperatures)</td> <td>actate alanine creatine creatinine choline chloride (in D2O)</td> </tr> <tr> <td>6</td> <td>test sample</td> <td>α-pinene benzyl benzoate (in CDCl3)</td> </tr> <tr> <td>7</td> <td>large intensity differences & peak overlap</td> <td> benzyl benzoate m-anisaldehyde (in CDCl3)</td> </tr> <tr> <td>8</td> <td> peak overlap & different solvents for single ingredients (in CDCl3) and mixture (DMSO-d6)</td> <td>benzyl benzoate m-anisaldehyde</td> </tr> <tr> <td>9</td> <td>ineshape distortion (shim z2)</td> <td>actate alanine creatine creatinine choline chloride (in D2O)</td> </tr> </tbody> </table>

Dataset for the publication: Bimetallic PtCu/C Catalysts for Glycerol Assisted Hydrogen Evolution in Acidic Media

The dataset covers the research data of the publication (<a href="https://doi.org/10.1002/celc.202201114">https://doi.org/10.1002/celc.202201114</a>) with the title "Bimetallic PtCu/C Catalysts for Glycerol Assisted Hydrogen Evolution in Acidic Media". The provided data comprehend the measured current density, CVs, HPLC data, TEM analyses, powder X-ray diffraction patterns as well as a python script including data analysis and plotting.

Publications reviewed in the article: Mountain protective forests under threat? An in-depth review of global change impacts on their protective effect against natural hazards

Detailed list of publications included in the review " Mountain protective forests under threat? An in-depth review of global change impacts on their protective effect against natural hazards" (Moos et al. 2023), including the type of global change impacts and protective service they address, the reported change in protective effect, whether the reported change is quantitative and linked to risk, the methods used to assess the change in the protective effect, country where the study area is located, and the scale of the study.

opencc-by-4.0Oct 2022View details →

An infoveillance analysis of public interest, national data and wastewater monitoring in Wales, UK

Infoveillance, wastewater and national data.R - The R script used for the analyses and figures present in the manuscript.   R functions: flattenCorrMatrix.R -A function for correlation analysis cormtest.R - A function for correlation analysis   Data files: Medical data.csv - Data extracted from the UK government portal for COVID-19 cases, deaths and vaccinations South Wales qPCR data.csv - qPCR data for different South Wales sites on each date, with ‘signal’ denoting the signal of SARS-CoV-2 detection in wastewater samples Wales GT data.csv - Google Trends relative search volume data extracted directly from Google Trends for the region of Wales

opencc-by-3.0-usJun 2023View details →

Data for publication "Aerodynamic interactions of drops on parallel fibers"

A collection of the data and scripts used to produce figures and derive conclusions for: "Aerodynamic interactions of drops on parallel fibers." The DOI number for this paper is 10.1038/s41567-023-02159-4. It is available at the following URL: <a href="https://www.nature.com/articles/s41567-023-02159-4">https://www.nature.com/articles/s41567-023-02159-4</a>. Please see Repo_Contents.pdf for details.

The Metadata of "A Rapid Investigation of Artificial Intelligence Generated Content Footprints in Scholarly Publications"

This resource contains all the raw data associated with the article "A Rapid Investigation of Artificial Intelligence Generated Content Footprints in Scholarly Publications." This raw data underpins the conclusions presented in the article.

Dataset for publication: "Using explainable machine learning to interpret the effects of policies on air pollution: COVID-19 lockdown in London"

This online repository offers supplementary datasets supporting the findings in the research article titled "Using explainable machine learning to interpret the effects of policies on air pollution: COVID-19 lockdown in London," published in Environmental Science & Technology. The dataset contains air quality data from different monitoring sites in London between 2016 and 2020 and weather data for the same period. Additionally, the dataset incorporates 136 features relating to London's Middle Layer Super Output Areas (MSOAs) in the year 2019, which can be used to identify the key factors contributing to the heterogeneous changes in air quality levels at different spatial locations during the pandemic. Please refer to the metadata file for detailed data sources and descriptions.

Open Dataset for publication: Half-life determination of 215At and 221Ra with high-purity radioactive ion beams - IS637

This material is provided as a supplementary open data for the publication in preparation "Half-life determination of 215At and 221Ra with high-purity radioactive ion beams" and contains all the source files regarding this publication and determination of 215At half-life. The data were collected in July and November 2018 during IS637 experiment at ISOLDE, CERN.

Open Dataset for publication: Half-life determination of 215At and 221Ra with high-purity radioactive ion beams - IS665

The dataset for publication in preparation: Half-life determination of 215At and 221Ra with high-purity radioactive ion beams   Includes the data analysed for results given in the publication from the IS665 experimental campaign at ISOLDE (CERN).

Data set for the publication " Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration"

This is dataset for paper published: Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. Energies 2023, 16, 5012. https://doi.org/10.3390/en16135012

Data for the publication "Sensitivity of Banner Cloud Formation to Orography and the Ambient Atmosphere: Transition From Idealized to More Realistic Scenarios"

Data accompanying the paper titled: "Sensitivity of Banner Cloud Formation to Orography and the Ambient Atmosphere: Transition From Idealized to More Realistic Scenarios" This repository contains output statistics for thirty simulations run with the EULAG model in LES mode (Prusa et al., 2008). We use three distinct configurations of the model domain and its orography, ranging from highly idealized to fully realistic. The configuration with realistic orography is referred to as “Matt_Ref” and covers a domain of 12.8 x 9.6 x 7 km. As our intermediate configuration, we use the realistic orography from the Matterhorn summit protruding from a flat plain, referred to as "Matt_Iso". As our highly idealized configuration we consider a Pyramid protruding from a flat plain, referred to as "Pyr". In both configurations the model domain extends 11.6 x 9.2 x 4.5 km. The simulations of all three configurations are performed with an isotropic grid spacing of 25 m. Each zip-file contains the time-averaged fields of six simulations with inflow conditions of a sheared or constant wind profile with 5, 10 and 20 m/s, and neutral stratification up to the height of the mountain summit. For the "Matt_Ref" configuration exists two additional zip-files containing data of a neutral stratification up to 500 meter and 800 meter below the mountain summit. Moreover, for the "Matt_Ref" configuration exists three additional zip-files containing the time-averaged turbulent fields. For more details have a look at the paper.

opencc-by-4.0Feb 2023View details →

Le Journal of Open Humanities Data (JOHD) : enjeux et défis dans la publication de data papers pour les sciences humaines et sociales (SHS)

This repository hosts the pre-print version of the paper and the data used for the following publication: Marongiu, Paola; Pedrazzini, Nilo; Ribary, Marton; McGillivray, Barbara (forthcoming). "Le Journal of Open Humanities Data (JOHD) : enjeux et défis dans la publication de data papers pour les sciences humaines et sociales (SHS)". In Schopfel, Joachim and Kosmopoulos, Christine (eds.) Publier, partager, réutiliser les données de la recherche: les data papers et leurs enjeux. Lille: Presses Universitaires du Septentrion. The file "johd_publications.xlsx" contains the data used for the section "Publier des data papers pour les SHS : l’expérience du JOHD". This includes all relevant information about the papers published by the Journal of Open Humanities data. The title of the published paper; the DOI; the date of publication; the special collection in which the paper was published (if any); the keywords associated with the paper; the names of the authors. The zip folder "datapapers_catalyseurs.zip" contains the data used for the section "Les data papers : des catalyseurs de la réutilisation des données ?". This includes information about the papers published by the Journal of Open Humanities data and their corresponding datasets (downloads, views, tweets, citations and Altmetric).

data and code for climate-cyclone publication

The folder contains the data and scripts used to generate Figures 1-4 of Zhang (2023). version 1.01: italicize omega and fix a function bug

Source Data for the publication: "How Orange Carotenoid Protein controls the excited state dynamics of Canthaxanthin"

This dataset contains the raw data for the results shown in the paper, in plain text format. The first line of each file describes the content of the columns. Contents: <ul> <li>ocp_adiabatic_energies.txt - Energies of the adiabatic states (A.U.) for all SH trajectories of CAN in OCP</li> <li>ocp_bla.txt - Values of the BLA coordinate (Angstrom) for all SH trajectories of CAN in OCP</li> <li>ocp_dihedrals.txt - Values of the CAN dihedrals ) degrees for all SH trajectories of CAN in OCP</li> <li>ocp_populations.txt - Calculated adiabatic populations of CAN in OCP</li> <li>vac_adiabatic_energies.txt - Energies of the adiabatic states (A.U.) for all SH trajectories of CAN in gas phase</li> <li>vac_bla.txt - Values of the BLA coordinate (Angstrom) for all SH trajectories of CAN in gas phase</li> <li>vac_dihedrals.txt - Values of the CAN dihedrals ) degrees for all SH trajectories of CAN in gas phase</li> <li>vac_populations.txt - Calculated adiabatic populations of CAN in gas phase</li> </ul>

Data accompanying the publication: Measurements and modelling of pore-pressure gradients in the swash zone under large-scale laboratory bichromatic waves

Data accompanying the publication: Measurements and modelling of pore-pressure gradients in the swash zone under large-scale laboratory bichromatic waves. See the README.txt file for more detail.

Data for the publication "To be or not to be – Is MgSc2Se4 a Mg-Ion Solid Electrolyte?"

Description Datasets Datasets are obtained from X-ray diffraction (XRD), Rietveld analysis, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM), nuclear magnetic resonance (MAS NMR) spectroscopy, absorption and photoluminescence spectroscopy, electrochemical impedance spectroscopy (EIS), chronoamperometry (CA) and chronopotentiometry (CP). Abstract Magnesium batteries offer promising potential as next-generation sustainable energy-storage solutions due to the high theoretical capacity of the magnesium metal anode. Facilitating dendrite-free operation of metal anodes necessitates the development of solid electrolytes (SEs) with high magnesium-ion conductivity. While the chalcogenide spinel MgSc2Se4 is predicted to exhibit high magnesium ion mobility, unequivocal experimental evidence for magnesium ion conduction beyond short-range motion is still missing. This study confirms magnesium-ion transport in MgSc2Se4 through two independent electrochemical methods: electrochemical deposition of magnesium metal and reversible magnesium plating/stripping cycling. To overcome the difficulty of measuring the ionic conductivity of the mixed conducting MgSc2Se4 spinel, a pure ion conducting interlayer is employed in a symmetric transference cell. This approach effectively suppresses the electron transport, allowing accurate characterization of the ionic conductivity. The experimental results confirm a low migration barrier (Ea) of (386 ± 24) meV for magnesium ion transport in MgSc2Se4 and demonstrate one of the best performances at room temperature among the reported inorganic magnesium solid electrolytes. The findings open a new door for exploring additional mixed magnesium ion conductors and highlight the potential of magnesium chalcogenide spinels as a promising class of magnesium solid electrolytes.

opencc-by-4.0Sep 2023View details →

Supplemental data for the publication: "The Role of Vitamin D in Emiliania huxleyi: A Microalgal Perspective on UV-B Exposure"

The following table contains raw transcriptomic data of Emiliania huxleyi CCMP3266 grown under continuous UV radiation or control conditions for 7, 10, and 13 days, obtained using the MARS-seq protocol (Keren-Shaul H. et al. 2013) Column A - Gene ID (Sperfeld M. et al. 2023) Column B - NCBI accession number Columns C - T: raw read counts Columns U - AL: normalized read counts Columns AM - BD: rlog transform read counts Columns BE - FB: Every 6 columns represent differential expression data between two treatments (time point or UV/nonUV) Columns FC - FK: Functional annotations automatically generated, as previously described (Sperfeld M. et al. 2023)

opencc-by-4.0Sep 2023View details →

micro CT scan of Ice core, publication DOI:10.1109/TGRS.2023.3334867

The dataset is used in the paper: Bagherzadeh, Faramarz, et al. "Ice-Core Micro-CT Image Segmentation With Deep Learning and Gaussian Mixture Model." IEEE Transactions on Geoscience and Remote Sensing 61 (2023): 1-11. DOI:10.1109/TGRS.2023.3334867 Polar ice cores 2D images of Micro CT scans that could be used for training and testing a deep neural network for image segmentation. This dataset is connected with the corresponding paper: Title: "Ice Core micro-CT Image Segmentation with Deep Learning and Gaussian Mixture Model" There are mainly 3 specimens from Polar regions (snow, firn, and bubbly ice) with 60-micron resolution and a corresponding ground truth per input which was derived from a higher-resolution image with the methodology explained in the article.

Raw data of the publication titled "First-row d6 metal complex enables photon upconversion and initiates blue light-dependent polymerization with red light"

Raw data of the publication in Angew. Chem. Int. Ed. titled "First-row d6 metal complex enables photon upconversion and initiates blue light-dependent polymerization with red light "