Find research datasets worth reusing

Raw data for Figures 5-8 for journal article: "Experimental investigation of the effect of middle ear in bone conduction"

This is a data set contaning the raw data for figures 5-6 from the journal article: "Experimental investigation of the effect of middle ear in bone conduction" Original article DOI: 10.1016/j.heares.2020.108041 Original article link: https://pubmed.ncbi.nlm.nih.gov/32810722/   The data is contained within MATLAB  figure (.fig) files, all saved with MATLAB version R2020a.

Raw data for Figures 1-4 for journal article: "Transcutaneous and percutaneous bone conduction sound propagation in single-sided deaf patients and cadaveric human whole heads"

This is a data set containing the raw data for figures 1-4 from the journal article: "Transcutaneous and percutaneous bone conduction sound propagation in single-sided deaf patients and cadaveric human whole heads" Original article DOI: 10.1080/14992027.2021.1903586 Original article link: https://pubmed.ncbi.nlm.nih.gov/34097554/   The data is contained within plots in word files, created with Microsofft Office (v18).

Raw data and MTEX script for the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling"

This dataset contains the EBSD (.ctf) files of the different sample areas analyzed in the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling" by J. Furstoss, S. Demouchy, A. Tommasi, E. Gardès, F. Barou and N. Marino, which is expected to be published in Tectonophysics. This repository also contains the Analyze.m MTEX script which has been used for the post-processing of the EBSD files. This script has to be run in matlab and outputs different figures and .csv files containing the raw data used in the article. For any questions please contact jfurstoss@orange.fr

Raw data for journal article: "Wave propagation across the skull under bone conduction: Dependence on coupling methods"

This is a data set containing the raw data for figures 3-6 from the journal article: "Wave propagation across the skull under bone conduction: Dependence on coupling methods" Original article DOI: 10.1121/10.0009676 Original article link: https://pubmed.ncbi.nlm.nih.gov/35364950/   The Fig 3 and 4 data are contained within MATLAB  figure (.fig) files, all saved with MATLAB version R2020a. Fig 5 and 6 data are  3D velocity data for 5 cadaver heads (CH1-5) and FEM predictions. This data are stored within a folder structure indicating the stimulation condition (defined in the journal article). For example "Cadaver head data\CH1\Attract" contains cadaver head data for cadaver head 1 (CH1) with stimulation "Attract", as defined in the journal article above. For each combination  of cadaver head (or FEM) and stimulation condition there is a TXT file (comma delimited) for the real and imaginary data at each stimulation frequency, and orthogonal velocity axis (X,Y,Z based on the anatomical coordinate system defined in the journal article) as well as the combined (maximum) velocity vector. The data set also includes a TXT file with the position (in same coordinate system the velocity data) of each measurement point and a list of stimulation frequencies.

Raw data for journal article: "Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation"

This is a data set containing the raw data for figures 7-14 from the journal article: "Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation" Original article DOI: 10.1016/j.heares.2022.108506 Original article link: https://pubmed.ncbi.nlm.nih.gov/35459531/

Raw data for journal article: "Intracochlear pressure and temporal bone motion interaction under bone conduction stimulation""

This is a data set containing the raw data for figures 3-6 from the journal article: "Intracochlear pressure and temporal bone motion interaction under bone conduction stimulation" Original article DOI: 10.1016/j.heares.2023.108818 Original article link: https://pubmed.ncbi.nlm.nih.gov/37267833/   The Fig 4-8 data are contained within MATLAB  figure (.fig) files, all saved with MATLAB version R2020a. Fig 9-10 data are  3D velocity data for 3 cadaver heads (CH1-3), each recorded at the left (L) and right (R) side, all within the folder "Velocity  data". This data are stored within a folder structure indicating the stimulation condition (defined in the journal article). For example "Velocity  data\CH1-L\Stim @ BAHA" contains data for the left side of cadaver head 1 (CH1) with stimulation "Stim @ BAHA", as defined in the journal article above.   For each combination  of cadaver head and stimulation condition there is a TXT file (comma delimited) for the real and imaginary data at each stimulation frequency, and orthogonal velocity axis (X,Y,Z based on the anatomical coordinate system defined in the journal article) as well as the combined (maximum) velocity vector. The data set also includes a TXT file with the position (in same coordinate system the velocity data) of each measurement point and a list of stimulation frequencies. The data set also includes the geometry of the skull bone surface of each cadaver head (CH) in the form of STL file, all within the folder "Skull surface data".

Videos accompanying article "Facial Expressions for Sign Language Synthesis using FACSHuman and AZee"

Accompanying videos for the article "Facial Expressions for Sign Language Synthesis using FACSHuman and AZee". <ul> <li>all_action_units.mp4 - Shows mesh deformations for all the action units used.</li> <li>all_expressions.mp4 - Shows all the expressions synthesized using the study.</li> <li>big_threatening_hot.mp4 - Shows comparison of a sign with and without facial expressions.</li> </ul>

DArTseq genetic dataset associated with the article "Hybrids as mirrors of the past: genomic footprints reveal spatio-temporal dynamics and extinction risk of alpine extremophytes in the mountains of Central Asia"

Description: This file stores genetic information on the single nucleotide polymorphism markers (SNPs) in the examined alkali grasses (Poaceae: Puccinellia). The dataset was generetad by Genome-Wide Restriction Fragment Analysis via the DArTseq platform (Diversity Arrays Technology Pty Ltd, Canberra, Australia), which combines complexity reduction methods, fragment size selection, and high-throughput sequencing, optimised for a target organism. The file contains raw data.   Usage notes: We used R (version 4.2.2, 2022-10-31; https://www.R-project.org/) and RStudio (version 2022.07.2+576 "Spotted Wakerobin" Release (e7373ef832b49b2a9b88162cfe7eac5f22c40b34, 2022-09-06; http://www.rstudio.com/) on Windows 8.1 to handle this file. We used the dartR R-package (version 2.7.2) with necessary dependencies to import, proccess and analyse this data file as an object of a class genlight (dartR) in the R environment. You may also handle the file as an object of a class genlight using the adegenet and ade4 R-packages. To learn more about installation procedure and how to use of the R-packages visit: https://cran.r-project.org/web/packages/available_packages_by_name.html.

Chemical composition of main agricultural plastics articles used for protected cultivation systems: additive characterization

The folder includes chromatographic and mass spectrometry data of the characterization of additives in agricultural plastics, including mulch films (coded as M), mulch fabrics (coded as C and GT), ropes (coded as R), irrigation tapes (coded as I), seed coatings (coded as O), feed sack (coded as K), bale knitted nets and silage nets (coded as S4), biodegradable shelters (coded as SH), ropes & twines for crop production (coded as R), plant tunnels (coded as L), fertilizers sacks (coded as K), silage film /coded as S1). Conventional polymers including polyethylene (PE), polypropylene (PP), and biodegradable polymers (BIO) have been analyzed.

Artifact for ACM CSUR article: "A Meta-Study of Software-Change Intentions"

This archive includes the CSV files with the raw and aggregated data we used for our meta study: "A Meta-Study of Software-Change Intentions" published at the ACM Computing Surveys journal.   Please refer to the readme for details on the files.

dataset figures - Assessing the Performance of Fuel Cell Electric Vehicles Using Synthetic Hydrogen Fuel - Article Energies

Dataset for Table 1 - 2 and for Figure 4

Supplementary data to article "From single trees to country-wide maps: Modeling mortality rates in Germany based on the Crown Condition Survey"

This repository provides regression models and annual prediction rasters for tree mortality in Germany.   Regression models: Logistic regression models which predict tree mortality for the species (beech = Fagus sylvatica,  oak = Quercus petraea and robur, pine = Pinus sylvestris, spruce = Picea abies) and species  groups (OB = other broadleaves, OC = other conifers) based on observations of dead trees in the German Crown Condition Survey (Waldzustandserhebung) and a set of environmental predictor  variables. The predictors come from the domains of climate (clim), site conditions (site, i.e.  topography, soil, land cover, deposition), tree age (age) and some models contain pairwise  interaction terms between predictors (inter). All models were fit in R and are represented as  objects of the class glm and stored in files of the type rds. Prediction rasters: Spatial predictions of the mortality rate across Germany for each tree species and species group  and for each year from 1998 to 2022. The rasters have a spatial resolution of 100 m. Missing values mark areas where the species/group does not occur. The mortality values are given as integers  between 0 (no mortality) and 10000 (100% mortality). The coordinate reference system is Lambert  Azimuthal Equal Area (LAEA; EPSG:3035). The rasters are provided in the file format GeoTIFF (tif). A detailed description of the data sources and analyses can be found in the following article. Citation: Knapp, N., Wellbrock, N., Bielefeldt, J., Dühnelt, P., Hentschel, R., Bolte, A., 2024.  From single trees to country-wide maps: Modeling mortality rates in Germany based on the Crown Condition Survey. Contact: nikolai.knapp@thuenen.de

Data from the article "Past large earthquakes influence future strong ground motion in subduction zones".

Rupture and Ground motion data (version 2) in the central zone of Chile using kinematic seismic simulation data published in https://doi.org/10.1007/s11069-024-06651-9. The rupture process is derived from coupling and geometry data incorporated into the Heterogeneous Energy-Based method (https://doi.org/10.1515/geo-2022-0522). A video summarizing the data and results can be found in: <a href="https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8">https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8</a>  Please note that this is a revised version where the data code has been slightly modified compared to its previous version.

Dataset for Article "On the experimental properties of the TS defect in 4H-SiC"

This dataset contains raw data as well as evaluation scripts to the manuscript "On the experimental properties of the TS defect in 4H-SiC".

opencc-by-4.0Sep 2017View details →

Dataset used for the article Intergroup Ethnocentrism and Social Media: Evidence from three western Democracies

This is the dataset, used for the paper Intergroup Ethnocentrism and Social Media: Evidence from three western Democracies, submitted to the Information, Communication & Society for review. This work was supported by an Audencia Foundation research grant Innovation and Stability.

Data from the journal article "Individual versus combined effects of warming, elevated CO2 and drought on grassland water uptake and fine root traits"

This data file contains all data used in the aforementioned article (DOI: 10.1111/pce.15274). The data was obtained in a long-term multifactor global-change experiment (‘ClimGrass’) in a managed (three cuts, fertilized) C3 grassland near the central European Alps in Styria, Austria (47°29′44.6″N, 14°5′54.6″E). Grassland plots were exposed to six treatments: (i) ambient conditions (control; n = 8); (ii) drought (n = 4); (iii) warming (n = 3); (iv) elevated CO2 (n = 3), (v) future conditions (warming and elevated CO2; n = 3); and (vi) drought in future conditions (warming, elevated CO2 and drought; n = 4). The experiment was conducted during the growing seasons of 2017, 2019, and 2020. The aim was to determine how warming, elevated CO2 and drought individually and interactively affected root water uptake (RWU, calculated from soil water dynamics) as well as the corresponding mass and key traits (specific root length (SRL); specific root area (SRA); mean diameter) of newly produced fine roots (extracted using ingrowth cores) and biomass allocation (fine-root-to-shoot production ratios; R/S ratios). Treatment effects on RWU were studied across varying conditions of soil water content (SWC) and vapour pressure deficit (VPD), referred to as dryness conditions. Fine root characteristics were compared to the maximum hourly in-situ RWU observed.  The following data is contained in this file (processed as described in the journal article and, importantly, in the supplementary information): - data_SWC: SWC and precipitation, used to calculate RWU (resolution: hourly; figures: 1) - data_RWU_daily: RWU for the main rooting horizon, fractions of total RWU across depth (resolution: daily; figures: 1, 2, 3) - data_RWU_hourly: RWU for the main rooting horizon, SWC, VPD (resolution: hourly; figures: 1, 4, 5) - data_FineRoots: Mass, traits (SRL, SRA, diameter) and maximum hourly RWU of newly produced fine roots across depth, R/S ratios (resolution: three samplings per growing season; figures: 6, 7) The metadata.xlsx file summarizes the contents of these datasets, including units and descriptions of the variables. Note below: the name of the project funded by the Austrian Academy of Sciences is ClimGrassHydro.

Dataset for the scientific article titled "Is it worth paying attention to Actinedid mites in agricultural fields?"

The dataset is about the soil-dwelling mite abundance from two experiments. The abundance data refer to 400 cm3 soil samples for six mite groups. The data are from three sites (Martonvásár, Őrbottyán, Nagyhörcsök), from three years (2018, 2019, 2021), from three plant types (wheat, maize and mixed grass) and from two soil types (Phaeozem, Luvisol) and from two seasons (summer and autumn).

Im et al. (2025) Dataset for the Environmental Research: Climate article

This dataset includes the methane (CH4) diagnostics as calculated by the GISS-E2.1 Earth system model used in the Im et al. (2025) Dataset for the Environmental Research: Climate article. The dataset includes surface and average atmospheric CH4 concentrations, atmospheric CH4 burden, and CH4 emissions from anthrpogenic and natural sources. The dataset includes data from 1995 to 2050. 2015-2050 period uses anthrpogenic emissions from the Eclipse V6b dataset from two scenarios: CLE (Current Legislations) for the whole 1995-2050 period and MFR (Maximum Feasible Reduction)for 2020-2050 period. The simulations include: Prescribed GHG simulations and Interactive CH4 simulations with sources and sinks.

Data archive for the peer-reviewed journal article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions"

This data archive accompanies the article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions", which was accepted in November 2024 in the peer-reviewed journal Environmental Science and Technology Letters. The data archive contains the processed OP_DTT, PM loading, oxidant level, and elemental ratio measurements presented in this journal article.

Raw NMR and GC reports for the article Electrochemical Hydrogenation of Alkenes over a Nickel Foam Guided by Life Cycle, Safety and Toxicological Assessments, Green Chemistry, doi: https://doi.org/10.1039/D4GC02924K

Raw NMR for the article Electrochemical Hydrogenation of Alkenes over a Nickel Foam Guided by Life Cycle, Safety and Toxicological Assessments, Green Chemistry, doi: https://doi.org/10.1039/D4GC02924K The raw NMR data files for all compounds reported in the article are included. The numbering corresponds to those in the article. Each parent folder contains subfolders with different files. In order to process this data, the full parent folder must be dragged into either Mestrenova or Topspin and then the data is automatically processed. If the name of the raw data files are renamed, the software (<a href="https://mestrelab.com/" target="_blank" rel="noopener noreferrer">Mestrenova</a> or <a href="https://www.bruker.com/en/products-and-solutions/mr/nmr-software/topspin.html" target="_blank" rel="noopener noreferrer">Topspin</a>) will not be able to process the files