Find research datasets worth reusing

Data set for "Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas"

Data set for: Esmaeili V, Oryshchuk A, Asri R, Tamura K, Foustoukos G, Liu Y, Guiet R, Crochet S, Petersen CCH (2022) Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas. PLoS Biol 20: e3001667. doi: 10.1371/journal.pbio.3001667 There are 2 files in this upload: 1. The file named "2022_Esmaeili_PLOSBiol.pdf" is the Open Access pdf of the online publication in PLoS Biology. 2. The file named "Esmaeili_data_code.zip" (~3 GB) is a zipped version of a folder "Esmaeili_data_code" (~3 GB), which contains four subfolders named as “data”, “codes”, “figures” and “excel files” and a README.txt file with the descriptions of files and required toolboxes to run the codes. To access the data and codes, first unzip the file. The “code” subfolder contains all the Matlab codes and their dependencies for generating all the main and supplementary figures. The “data” subfolder contains the data analysed in the study used to generate different figures. When running the code, you will have to select the path of the unzipped data containing the subfolders data, code, figures and excel files (\Esmaeili_data_code\). Some parts of the code rely upon previous results, and need to be executed sequentially in the order of the figure panels in the journal publication. Running the codes will save the figure panels and the related excel files in the “figures” and “excel files” subfolders respectively.

opencc-zeroJun 2022View details →

dryad36/100

Data set for: Leaf trait association in relation to herbivore defense, drought resistance, and economics in a tropical invasive plant

Premsie: Exploring how functional traits vary and covary is important to understand plant responses to environmental change. However, we have limited understanding of the ways multiple functional traits vary and covary within invasive species. Methods: We measured 12 leaf traits of an invasive plant Chromolaena odorata, associated with plant or leaf economics, herbivore defense, and drought resistance on 10 introduced populations from Asia and 12 native populations from America, selected across a broad range of climatic conditions, and grown in a common garden. Results: Species' range and climatic conditions influenced leaf traits, but trait variation across climate space differed between the introduced and native ranges. Traits that confer defense against herbivores and drought resistance were associated with economic strategy, but the patterns differed by range. Plants from introduced populations that were at the fast-return end of the spectrum (high photosynthetic capacity) had high physical defense traits (high trichome density), whereas plants from native populations that were at the fast-return end of the spectrum had high drought escape traits (early leaf senescence and high percentage of withered shoots). Conclusions: Our results indicate that invasive plants can rapidly adapt to novel environmental conditions. C. odorata showed multiple different functional trait covariation patterns and clines in the native and introduced ranges. Our results emphasize that interaction between multiple traits or functions should be considered when investigating the adaptive evolution of invasive plants.

Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 03

We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container. Data set 03 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). One infected ciliated cell is visible in the center of the recorded area. Virus particles are visible within membrane-bound compartments of the cytoplasm. Spike visibility is poor and some virus particles appear compressed. Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.

Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 04

We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container. Data set 04 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample  which was negative by quantitative PCR (negative control). The recorded area shows the profiles of four keratinocytes which are surrounded by heterogenous material (e.g. membrane lamella, needle-like crystals, round profiles with a fine-fibrous matrix). Virus partricles are not visible. Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.

Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 01

We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container. Data set 01 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). Two, more or less, intact ciliated cells are visible and surrounded by other cells or cellular debris. The ciliated cell in the upper right corner is infected with SARS-CoV-2. Virus particles are visible within membrane-bound compartments of the cytoplasm. Several double-membrane vesicles, which are typical compartments of the coronavirus replication machinery, are also detectable. Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.

Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 02

We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container. Data set 02 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was positive by quantitative PCR (delta variant). One ciliated cell is visible and surrounded by cellular debris. The ciliated cell is infected with SARS-CoV-2. Few virus particles are visible within membrane-bound compartments of the cytoplasm. Numerous virus particles are located at the cell surface intermingled between the cilia. The virus particles of this cell appear deformed and deviate from the oval/circular profile which is usually present. Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.

Data set and analytic codes supporting "Length-biomass equations to allow rapid assessment of semi-aquatic bug biomass in tropical streams"

Body size and biomass data of semi-aquatic bugs (Gerromorpha, Hemiptera) collected in a range of habitat types (oil palm, oil palm with buffer, logged forest, and old-growth forest) in the SAFE Project (Stability of Altered Forest Ecosystems) experimental area, Maliau Basin, and Danum Valley. The sites are located in Sabah, Malaysia. In this study, we developed length-biomass equations to estimate the biomass of semi-aquatic bugs.

Curated data-set of crystal-structure prototypes of binary and ternary sp-d valent compounds

Curated collection of binary and ternary compounds of sp-valent elements and d-valent elements and their crystal-structure prototype. The data set includes binary and pseudo-binary compounds in binary prototypes (BinaryPrototype-BinaryCompound.csv), offstoichoimetric and ternary compounds in binary prototypes (BinaryPrototype-BinaryOffstoichiometricAndTernaryCompound.csv) and ternary compounds in ternary prototypes (TernaryPrototype-TernaryCompound.csv). The first column in each data set corresponds to the crystal-structure prototype, the second column to the chemical composition. Ternary compositions labelled A-B+C indicate that element B and element C occupy the same sublattice of the crystal structure. A+B-C correspondingly indicates that element A and element B occupy the same sublattice. These data sets were used to construct structure maps for predicting the crystal structure of a compound from only its chemical composition. For details on curation, further discussions and structure maps see original publications (Chem. Mater. 28, 2550−2556, 2016 and Modelling Simul. Mater. Sci. Eng. 25, 074002, 2017).

Data set for the pottery excavated at the Liang Abu site (East Kalimantan, Indonesia)

A table describing 1105 pottery sherds excavated at the Liang Abu site (Est Kalimantan, Indonesia).

Data set for the shells excavated at the Liang Abu site (East Kalimantan, Indonesia)

Data set for the 2431 shell excavated at the Liang Abu site (East Kalimantan, Indonesia).

Modelling snowpack bulk density using snow depth, cumulative degree-days and climatological predictor variables -- data set

This file constitutes the data set containing the snow course survey, North American Regional Reanalysis (NARR)-derived degree-day indices, and climatological variables data used to conduct the analysis, and generate the figures and tables in the manuscript titled "Modelling snowpack bulk density using snow depth, cumulative degree-days and climatological predictor variables" by Andras J. Szeitz and R. Dan Moore. The manuscript was submitted for publication in the journal 'Hydrological Processes'. Due to the size of the NARR data files used to derive the air temperature time series for each snow course location, we recommend acquiring them from the National Oceanic and Atmospheric Administration's data portal directly (<a href="https://psl.noaa.gov/data/gridded/data.narr.html">https://psl.noaa.gov/data/gridded/data.narr.html</a>). Likewise, the ClimateNA software application used to extract the climatological variables for each snow course location can be obtained from the Centre for Forest Conservation Genetics, Department of Forest and Conservation Sciences, UBC, directly (<a href="https://climatena.ca/">https://climatena.ca/</a>).

Data set on public opinion on differentiation as policy choice

The opinion poll has been conducted with the support of a Dalia Research GmbH. The aim was to involve a representative sample of citizens from all 27 EU countries and 4 non-EU countries (UK, Norway, Turkey, Ukraine). Data has collected through device agnostic surveys with responsive design for desktop, laptop, tablet and smartphone. It develops a set of eight specific questions – two horizontal and six targeted ones, two for each policy area addressed by the project (Economic governance and single market, foreign, security and defence policy, area of freedom, security and justice, including migration policy). The dataset produced on the basis of the selected questions includes demographics of respondents (age, gender, education, rural / urban status etc.).

SUM Reaction Data: The Chemoton 2.0 Data Set

This repository contains the data underlying the results presented in Unsleber, J. P.; Grimmel, S. A.; Reiher, M. 2022, arXiv:2202.13011 [physics.chem-ph].

Data set Procedural Challenges

For the article "Procedural Challenges: A case study in sharing PRC electronic resources" (submitted to the International Journal of Digital Humanities", special issue "Digital Humanities in East Asian Studies", editors Hilde De Weerdt and Aliz Horvath) we conduct a literature review of research into Republican Chinese newspapers as it appears in popular Chinese academic journal databases and their accompanying data publications. In essence, we repeatedly run identical keyword searches using different interfaces and compare results. We first gather materials in the form of saved html files and screenshots which are then prepared for further analysis. The data set contains the source files that support the findings of our study, along with descriptive metadata and additional sources not used in the final article version. All data is collected on Windows 10 Enterprise Edition, using Firefox Browser 88.0.1, and cross-checked with both Google Chrome 90.0.4430.212 and Microsoft Edge 90.0.818.62.

Data set EC Age

Individual raw data for stages of entheseal changes for 30 appendicular entheses in four identified collections.  For the method used to record the changes, see Villotte 2006 For a presentation of the collections, see Villotte 2009, Villotte et al. 2010. Villotte S. 2006. Connaissances médicales actuelles, cotation des enthésopathies : nouvelle méthode. Bulletins et Mémoires de la Société d’Anthropologie de Paris n.s., 18: 65–85. Villotte S. 2009. Enthésopathies et activités des hommes préhistoriques Recherche méthodologique et application aux fossiles européens du Paléolithique supérieur et du Mésolithique. BAR International Series 1992, Archaeopress: Oxford, UK. Villotte S, Castex D, Couallier V, Dutour O, Knüsel CJ, Henry-Gambier D. 2010. Enthesopathies as occupational stress markers: evidence from the upper limb. American Journal of Physical Anthropology 142: 224–234.

Supporting Information for "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021". Data Set S1. Extended dataset of all the analyses

This compressed folder contains supporting information related to the Figures in the manuscript: "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021". Files and folders labeled with G1…n are related to the GPS data, those labeled with H1…n are related to the seismic data. In particular:      Subfolder 1_DATA supports Figure 3 – the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the logarithmic plots of all seismic events and of their energy. It also shows the complete plot leveling data from 1905 to 2010 (modified from del Gaudio et al., 2010). It also includes Figure 2 and Figure 6a-c. Subfolder 2_AnnualRate supports Figure 4 - the annual rate of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the annual rate of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results. It also supports Figure 5 with similar data concerning 2018-2020. Subfolder 3_InverseRate supports Figure S3 - the inverse rate of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the inverse rate of all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average results, including detailed plots of 2018-2020. Subfolder 4_RateChange supports Figure S2 - the daily rate change of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the daily rate change of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results, including detailed plots of 2018-2020. Subfolder 5_FourierCoef supports Figure 6 - the Fourier spectrum of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations. These detail the 2-year, 6-month, and 30-day average results obtained in 2000-2020, 2011-2020, 2018-2020. Also, additional plots that detail other combinations of time domain and part of the Fourier spectrum, thus testing the sensitivity of the main harmonics on the time domain selected. Subfolder 6_ FFM_WaitTime supports Figure 11 – waiting time examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regressions. Subfolder 7_FFM_FailTime also supports Figure 11 – all the results expressed in terms of the failure time tf instead of in terms of the waiting time [tf(t) - t]. Subfolder 8_pFFM_Regression supports Figure 9 - the pFFM examples based on the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regression. Subfolder 9_pFFM_Probability supports Figure S4 - pFFM examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rates, and the 10-year, 5-year and 3-year regressions. Subfolder 10_BarplotProb supports Figure S5 - results expressed in terms of the mean failure time probability at 2, 5, 10, and 25 years.It also supports Figure S6 - examples based on 6-month, and 30-day average rate results. Subfolder 11_BarplotWaitTime supports Figure S6 - all the results expressed in terms of the waiting time (tf – t) barplot. It also includes Figure S5.

Supporting Information for "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Sets S1-S7.

This compressed folder contains supporting information related to the manuscript: "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Set S1. Catalog of flank eruptions Historical catalog of flank eruptions of Mt. Etna from 1600 to 2018. Data Set S2. Catalog of major earthquakes Macroseismic catalog of Etnean earthquakes from 1800 to 2018. Data Set S3. GIS dataset of Eruptive fissures GIS shapefiles of eruptive fissures at Mt. Etna from 1800 to 2018. UTM WGS84, Zone 33 N. Data Set S4. Tests with ±2 months maximum inter-event time          Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±2 months. Pie charts of the positive values (dark colors), negative values in [-2.5, 0] days (light colors), and lower than -2.5 days (white) are reported. Data Set S5. Tests with dt = 5 days moving window     Conditional rates of major earthquakes less than ±4 months from flank eruptions, obtained assuming dt = 5 days instead of dt = 10 days. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S6. Tests on the eruptions end, including earthquakes in ±2.5 days from the onset Conditional rates of major earthquakes less than ±4 months from flank eruptions end, obtained without excluding the earthquakes occurred in ±2.5 days from the onset. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S7. Summary of inter-event time histograms              Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±4 months, also decomposed according to spatial groups E1-E4 and fault systems F1-F4. Light-colored bars highlight the eruptions > 2850 m.a.s.l.

Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.

This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper  Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research

Data set related to the manuscript "Understanding the chemical shifts of aqueous electrolyte species adsorbed in carbon nanopores"

Graphical files in the agr format for all the figures in the manuscript entitled "Understanding the chemical shifts of aqueous electrolyte species adsorbed in carbon nanopores". Examples of input files for the density functional theory, lattice and molecular dynamics simulations are also provided.

BIOHARV project INTERREG V - Piezoelectric biobased polymers - Data set n°1

The BIOHARV projet is financed by FEDER, Wallonia Region, West-Vlaanderen Region and Agentshap Innoveren & Ondernemen. BIOHARV project started on 2016, October 1st for 4 years. Six academic & technological partners are gathered (Institute Mines Telecom North Europe, Armines, University of Mons, Centexbel, University of Lille and Polytechnic University Hauts-De-France. The main objective of the BIOHARV project is demonstrate & investigate piezoelectric, electroactive & electromechanical properties of biobased polymers.  This dataset includes the evaluation of shear piezoelectric properties for various types of PLA processed by extrusion-MDO (machine-direction orientation) without high voltage poling. The technique used is based on a bimorph cantilver technique. The related article "Determination of Shear Piezoelectric Coefficients by a Bimorph Cantilever Technique for Extruded and Oriented Poly(L-Lactide) Films" will be published soon.