cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/zcmvuy/bqjons
title: Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups.tab

description: :unav
DOI: 10.11588/data/zcmvuy
title: Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups from southern German beech trees [data]

description: Stable hydrogen and carbon isotope ratios of wood lignin methoxy groups (δ13CLM and δ2HLM values) have been shown to be reliable proxies of past temperature variations. Previous studies showed that δ2HLM values even work in temperate environments where classical tree-ring width and maximum latewood density measurements are less successful. Here, we analyse annually resolved δ13CLM values from 1916-2015 of four beech trees (Fagus sylvatica) from a temperate site near Hohenpeißenberg in southern Germany and compare these data with regional to continental scale climate observations. Initial δ13CLM values were corrected for the Suess effect (a decrease of δ13C in atmospheric CO2) and physiological tree responses to increasing atmospheric CO2 concentrations considering a range of published discrimination factors. The calibration of δ13CLM chronologies against instrumental data reveals highest correlations with regional summer (r = 0.68) and mean annual temperatures (r = 0.66), as well as previous-year September to current-year August temperatures (r = 0.61), all calculated from 1916-2015 and reaching p &lt; 0.001. Additional calibration trials using detrended δ13CLM values and climate data, to constrain effects of autocorrelation on significance levels, returned rsummer = 0.46 (p &lt; 0.001), rannual = 0.25 (p &lt; 0.05) and rprev.Sep-Aug = 0.18 (p &gt; 0.05). The new δ13CLM chronologies were finally compared with previously produced δ2HLM values of the same trees to evaluate the additional gain of assessing past climate variability using a dual-isotope approach. Compared to δ13CLM, δ2HLM values correlates substantially stronger with large-scale temperatures averaged over western Europe (rprev.Sep-Aug = 0.69), whereas only weak and mainly insignificant correlations are obtained between precipitation and both isotope chronologies (δ13CLM and δ2HLM values). Our results indicate great potential of using δ13CLM values from temperate environments as a proxy for local temperatures, and in combination with δ2HLM values, to assess regional to sub-continental scale temperature patterns.
DOI: 10.5281/zenodo.3632517
title: Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [R analysis]

description: This upload includes the following files related to the R analysis: - Raw data as a CSV table (brushing_v2.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3632490) - RStudio project (Brushing_project.Rproj) - R scripts as R Markdown files (*.Rmd) - Output from R scripts knitted to HTML files (*.html) - A text file containing the version of RStudio used (RStudioVersion.txt) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3632516
title: Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [R analysis]

description: This upload includes the following files related to the R analysis: - Raw data as a CSV table (brushing_v2.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3632490) - RStudio project (Brushing_project.Rproj) - R scripts as R Markdown files (*.Rmd) - Output from R scripts knitted to HTML files (*.html) - A text file containing the version of RStudio used (RStudioVersion.txt) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3873124
title: Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [Python analysis]

description: This upload includes the following files related to the Python analysis: Raw data as a XLSX table (brushing_v2.xlsx), i.e. results from R Script #1 (see https://doi.org/10.5281/zenodo.3632517) Python script of the whole analysis (RunEveryParameter.py) Convenience script for running RunEveryParameter.py in background and logging all output (RunSingleParametesBash.sh) Log file for output of sampling from the model for each parameter in a loop (logAll.txt) Jupyter notebooks of the analysis run on <em>epLsar</em> as an example (Notebook_SingleParameter.inpyb) and of a summary of the whole analysis (Notebook_Overview.ipynb), plus associated HTML output files (*.html) For each parameter: Full samples of parameter values (*.pkl) Energy plots of Hamiltonian Monte Carlo (*_Energy.pdf) Contrast plots between each treatment (BrushDirt = Is_Is, BrushNoDirt = Is_No, RubDirt = No_Is) and the control (No_No) (*_Contrasts.pdf) Trace plots for each parameter (*_Trace.pdf) Distribution of posteriors for each parameter (*_Posterior.pdf) Prior and posterior predictive distributions for each parameter (*_PriorPosterior.pdf) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3662427
title: Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [Python analysis]

description: This upload includes the following files related to the Python analysis: Raw data as a XLSX table (brushing_v2.xlsx), i.e. results from R Script #1 (see https://doi.org/10.5281/zenodo.3632517) Python script of the whole analysis (RunEveryParameter.py) Convenience script for running RunEveryParameter.py in background and logging all output (RunSingleParametesBash.sh) Log file for output of sampling from the model for each parameter in a loop (logAll.txt) Jupyter notebooks of the analysis run on <em>epLsar</em> as an example (Notebook_SingleParameter.inpyb) and of a summary of the whole analysis (Notebook_Overview.ipynb), plus associated HTML output files (*.html) For each parameter: Full samples of parameter values (*.pkl) Energy plots of Hamiltonian Monte Carlo (*_Energy.pdf) Contrast plots between each treatment (BrushDirt = Is_Is, BrushNoDirt = Is_No, RubDirt = No_Is) and the control (No_No) (*_Contrasts.pdf) Trace plots for each parameter (*_Trace.pdf) Distribution of posteriors for each parameter (*_Posterior.pdf) Prior and posterior predictive distributions for each parameter (*_PriorPosterior.pdf) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3979139
title: Polish is quantitatively different on quartzite flakes used on different worked materials [R analysis]

description: This upload includes the following files related to the R analysis: - Raw data as a CSV table (processing-quartzite-final.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3979116) - RStudio project (Quantification quartzite final.Rproj) - R scripts as R Markdown files (*.Rmd) - R scripts knitted to HTML files (*.html) - An R script (RStudioVersion.R) to write the used version of RStudio to a text file (RStudioVersion.txt) - Output from script #1: processing-quartzite-final.Rbin and processing-quartzite-final.xlsx - Output from script #2: processing-quartzite-final_summary-stats.xlsx - Output from script #3: all plots as PDF files. Note that for running the scripts, the raw data files (processing-quartzite-final.csv, .Rbin and .xlsx) should be stored in a "Data" folder within the working directory.<br> Output (processing-quartzite-final_summary-stats.xlsx and PDF plots) were saved into "Summary-stats" and "Plots" folders, respectively. Zenodo does not allow sub-folders, so this folder structure had to be removed. Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3979138
title: Polish is quantitatively different on quartzite flakes used on different worked materials [R analysis]

description: This upload includes the following files related to the R analysis: - Raw data as a CSV table (processing-quartzite-final.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3979116) - RStudio project (Quantification quartzite final.Rproj) - R scripts as R Markdown files (*.Rmd) - R scripts knitted to HTML files (*.html) - An R script (RStudioVersion.R) to write the used version of RStudio to a text file (RStudioVersion.txt) - Output from script #1: processing-quartzite-final.Rbin and processing-quartzite-final.xlsx - Output from script #2: processing-quartzite-final_summary-stats.xlsx - Output from script #3: all plots as PDF files. Note that for running the scripts, the raw data files (processing-quartzite-final.csv, .Rbin and .xlsx) should be stored in a "Data" folder within the working directory.<br> Output (processing-quartzite-final_summary-stats.xlsx and PDF plots) were saved into "Summary-stats" and "Plots" folders, respectively. Zenodo does not allow sub-folders, so this folder structure had to be removed. Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.4249219
title: Polish is quantitatively different on quartzite flakes used on different worked materials [Python analysis]

description: This upload includes the following files related to the Python analysis:<br> 1. Raw data as a XLSX table (processing-quartzite-final-2020-04-29.xlsx) is the output from R Script #1 (see https://doi.org/10.5281/zenodo.3979139), even though the filename is slightly different. Plus, for each analysis (full and restricted datasets), included in the corresponding ZIP archive:<br> 2. Jupyter notebooks of the analysis (Classification_RandSplitFeature_Revision_VXX.ipynb) rendered to HTML file (Classification_RandSplitFeature_Revision_VXX.html)<br> 3. Dataframe including the artificially filled datapoints<br> 4. Output of the analysis as PDF:<br> • Confusion matrices ("CM")<br> • Decision trees on selected features ("DecisionTreeSel")<br> • Balanced accuracy vs. maximum depth ("depth")<br> • Mutual information ("MI")<br> • Pairplots of selected features ("pairplot")<br> • Performance on training sets ("performance") Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3979160
title: Polish is quantitatively different on quartzite flakes used on different worked materials [Python analysis]

description: This upload includes the following files related to the Python analysis:<br> 1. Raw data as a XLSX table (processing-quartzite-final-2020-04-29.xlsx) is the output from R Script #1 (see https://doi.org/10.5281/zenodo.3979139), even though the filename is slightly different. Plus, for each analysis (full and restricted datasets), included in the corresponding ZIP archive:<br> 2. Jupyter notebooks of the analysis (Classification_RandSplitFeature_Revision_VXX.ipynb) rendered to HTML file (Classification_RandSplitFeature_Revision_VXX.html)<br> 3. Dataframe including the artificially filled datapoints<br> 4. Output of the analysis as PDF:<br> • Confusion matrices ("CM")<br> • Decision trees on selected features ("DecisionTreeSel")<br> • Balanced accuracy vs. maximum depth ("depth")<br> • Mutual information ("MI")<br> • Pairplots of selected features ("pairplot")<br> • Performance on training sets ("performance") Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
DOI: 10.5281/zenodo.3979116
title: Polish is quantitatively different on quartzite flakes used on different worked materials [ConfoMap analysis]

description: Each surface has been processed with two templates: 1) Extract two 50x50 µm sub-areas and extract topography layer from each sub-area. Export sub-areas as SUR files. File names start with "A35" or "VSH4". 2) Process all extracted sub-areas for quantitative analysis. File names start with "processing-quartzite-final". All ConfoMap templates are saved in MNT format (including all original and processed surfaces, as well as results). Each template has also been exported to a PDF file. Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952 Additionally, the results of the second template are collated into "processing-quartzite-final.csv".
DOI: 10.5281/zenodo.3979115
title: Polish is quantitatively different on quartzite flakes used on different worked materials [ConfoMap analysis]

description: Each surface has been processed with two templates: 1) Extract two 50x50 µm sub-areas and extract topography layer from each sub-area. Export sub-areas as SUR files. File names start with "A35" or "VSH4". 2) Process all extracted sub-areas for quantitative analysis. File names start with "processing-quartzite-final". All ConfoMap templates are saved in MNT format (including all original and processed surfaces, as well as results). Each template has also been exported to a PDF file. Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952 Additionally, the results of the second template are collated into "processing-quartzite-final.csv".
DOI: 10.34740/kaggle/dsv/4047935
title: YouTube Daily
DOI: 10.6084/m9.figshare.20116118
title: Data_Laspinema

description: The vcf file with variable and invariable sites and multiple sequence alignments (for whole-genome and 16S rRNA phylogeny, and extracted from the vcf file) used for analyses.
DOI: 10.6084/m9.figshare.20455554
title: sim_results.tar.xz

description: This document contains simulation results of the preprint article titled "Impact of 2019 Mw 5.8 Marmara Sea Earthquake on the Seismic Cycle of Locked North Anatolian Fault Segment" to GRL. <br> QD and QS-FD denote the simulation strategies quasi-dynamic and quasi-static&full-dynamic <br> Inside each of these folders (strategies), there are four folders corresponds to the different state laws (Dieterich, 1979; Ruina, 1983; Perrin et al., 1995; Nagata et al., 2012). In the study, we assume the shear stress of the firctional interface obeys rate-and-state friction. <br> Inside the folders defining state laws two folders appear. They denote which fault analogy do they belong (SET1 and SET2). For explanation see the manuscript. <br> In each foder, the natural runs (untriggered simulations) begin with "unperturbed". The folders whose names begin with "triggered" correspond to results of earthquake triggering. <br> H. Dieterich, “Modeling of rock friction 1. Experimental results and constitutive equations,” Journal of Geophysical Research: Solid Earth, vol. 84, no. B5,pp. 2161–2168, 1979.<br> A. Ruina, “Slip instability and state variable friction laws.,” Journal of Geophys-ical Research, vol. 88, no. B12, pp. 10359–10370, 1983.<br> G. Perrin, J. R. Rice, and G. Zheng, “Self-healing slip pulse on a frictional sur- face,” Journal of the Mechanics and Physics of Solids, vol. 43, no. 9, pp. 1461–1495, 1995.<br> K. Nagata, M. Nakatani, and S. Yoshida, “A revised rate-and state-dependent friction law obtained by constraining constitutive and evolution laws separately with laboratory data,” Journal of Geophysical Research: Solid Earth, vol. 117, no. B2, 2012
DOI: 10.6084/m9.figshare.20455554.v1
title: sim_results.tar.xz

description: This document contains simulation results of the preprint article titled "Impact of 2019 Mw 5.8 Marmara Sea Earthquake on the Seismic Cycle of Locked North Anatolian Fault Segment" to GRL. <br> QD and QS-FD denote the simulation strategies quasi-dynamic and quasi-static&full-dynamic <br> Inside each of these folders (strategies), there are four folders corresponds to the different state laws (Dieterich, 1979; Ruina, 1983; Perrin et al., 1995; Nagata et al., 2012). In the study, we assume the shear stress of the firctional interface obeys rate-and-state friction. <br> Inside the folders defining state laws two folders appear. They denote which fault analogy do they belong (SET1 and SET2). For explanation see the manuscript. <br> In each foder, the natural runs (untriggered simulations) begin with "unperturbed". The folders whose names begin with "triggered" correspond to results of earthquake triggering. <br> H. Dieterich, “Modeling of rock friction 1. Experimental results and constitutive equations,” Journal of Geophysical Research: Solid Earth, vol. 84, no. B5,pp. 2161–2168, 1979.<br> A. Ruina, “Slip instability and state variable friction laws.,” Journal of Geophys-ical Research, vol. 88, no. B12, pp. 10359–10370, 1983.<br> G. Perrin, J. R. Rice, and G. Zheng, “Self-healing slip pulse on a frictional sur- face,” Journal of the Mechanics and Physics of Solids, vol. 43, no. 9, pp. 1461–1495, 1995.<br> K. Nagata, M. Nakatani, and S. Yoshida, “A revised rate-and state-dependent friction law obtained by constraining constitutive and evolution laws separately with laboratory data,” Journal of Geophysical Research: Solid Earth, vol. 117, no. B2, 2012
DOI: 10.23670/irj.2022.122.1.2
title: Название таблицы

description: Международный научно-исследовательский журнал, №8(122) (2022)
DOI: 10.6084/m9.figshare.20332230
title: Evaluation of occupational noise exposure among forest machine operators: a study on the harvest of <i>Pinus taeda</i> trees

description: Exposure to noise in the working environment of forest machine operators harvesting wood in planted forests can compromise their health, safety and quality of life. The objective of the study reported here was to assess whether full-time occupational noise exposure among forest machine operators employed in the harvesting of <i>Pinus taeda</i> in southern Brazil aligns with the standards of Brazil’s National Institute for Occupational Safety and Health (NIOSH). Data were collected from four operators of self-propelled forestry machines that performed mechanised wood harvesting operations, including felling, extraction and processing of trees in planted <i>P. taeda</i> forests. The noise levels were collected during an eight-hour workday using the strategic measurement criterion for the whole day in the guidelines of Acoustics – Determination of occupational noise exposure. Noise levels were analysed according to the criteria established by NIOSH. The percentage of the risk of hearing loss was estimated according to the Portuguese Standard. In felling and processing operations, results show that the average daily exposure levels to occupational noise exceeded the action level of 80 dB(A). During timber extraction, the operators were exposed to noise levels above the exposure limit of 85 dB(A). However, given that the study’s statistics were directed to a comparative analysis, it was not possible to establish a hypothesis of inference on the observed variables.
DOI: 10.6084/m9.figshare.20332230.v1
title: Evaluation of occupational noise exposure among forest machine operators: a study on the harvest of <i>Pinus taeda</i> trees

description: Exposure to noise in the working environment of forest machine operators harvesting wood in planted forests can compromise their health, safety and quality of life. The objective of the study reported here was to assess whether full-time occupational noise exposure among forest machine operators employed in the harvesting of <i>Pinus taeda</i> in southern Brazil aligns with the standards of Brazil’s National Institute for Occupational Safety and Health (NIOSH). Data were collected from four operators of self-propelled forestry machines that performed mechanised wood harvesting operations, including felling, extraction and processing of trees in planted <i>P. taeda</i> forests. The noise levels were collected during an eight-hour workday using the strategic measurement criterion for the whole day in the guidelines of Acoustics – Determination of occupational noise exposure. Noise levels were analysed according to the criteria established by NIOSH. The percentage of the risk of hearing loss was estimated according to the Portuguese Standard. In felling and processing operations, results show that the average daily exposure levels to occupational noise exceeded the action level of 80 dB(A). During timber extraction, the operators were exposed to noise levels above the exposure limit of 85 dB(A). However, given that the study’s statistics were directed to a comparative analysis, it was not possible to establish a hypothesis of inference on the observed variables.
DOI: 10.5519/qd.rpp6pg6g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5184013 records)
DOI: 10.5281/zenodo.4654650
title: Experimental Dataset of Molecular Docking of Brazilian Essential Oils against Host and virus SARS-COV-2 Proteins

description: Full dataset of molecular docking interactions using Autodock Vina, separated by Oil type and main structure folders, respectively.
DOI: 10.5281/zenodo.4654649
title: Experimental Dataset of Molecular Docking of Brazilian Essential Oils against Host and virus SARS-COV-2 Proteins

description: Full dataset of molecular docking interactions using Autodock Vina, separated by Oil type and main structure folders, respectively.
DOI: 10.5519/qd.vfo7mb5x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (106 records)
DOI: 10.34740/kaggle/ds/2397548
title: Delhi Metro Passengers Load Per KM
DOI: 10.5281/zenodo.6976622
title: Hotel prices

description: Hotel prices in major EU cities during summer 2019 For most two files are provided: data for weekday and weekend offers The columns are as following: Cleanliness: cleanliness rating of hotel Comfort: comfort rating for hotel Facilities: facilities rating for hotel Free Wifi: wifi rating for hotel Location: location rating for hotel Staff: staff rating for hotel Value for money: rating for hotel highlights: highlights from reviews hotel_name: name of hotel stars: hotel stars days: weekend or weekdays segment: hotel or hostel fits: number of guests in room price med: median price of offers in hotel for 2 people city: city datecontrol: date of stay dist: distance from city centre in km metro_dist: distance from nearest metro station in km lng: longitude of the hotel location lat: latitude of the hotel location
description: This research was supported by National Science Centre, Poland: Project number 2017/27/N/HS4/00951
DOI: 10.5281/zenodo.6976621
title: Hotel prices

description: Hotel prices in major EU cities during summer 2019 For most two files are provided: data for weekday and weekend offers The columns are as following: Cleanliness: cleanliness rating of hotel Comfort: comfort rating for hotel Facilities: facilities rating for hotel Free Wifi: wifi rating for hotel Location: location rating for hotel Staff: staff rating for hotel Value for money: rating for hotel highlights: highlights from reviews hotel_name: name of hotel stars: hotel stars days: weekend or weekdays segment: hotel or hostel fits: number of guests in room price med: median price of offers in hotel for 2 people city: city datecontrol: date of stay dist: distance from city centre in km metro_dist: distance from nearest metro station in km lng: longitude of the hotel location lat: latitude of the hotel location
description: This research was supported by National Science Centre, Poland: Project number 2017/27/N/HS4/00951
DOI: 10.34943/c58bbb02-6dcd-4064-b1c2-78c821d1bf50
title: Vancouver Island Accelerometer Deployed 2021-12-09

description: The Nanometrics Titan SMA (S/N 001569) was deployed on 2021-12-09 at Vancouver Island. Vancouver Island is located on the west coast of British Columbia. It is enclosed by the inner coastal waters of the Salish Sea and the Pacific Ocean. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.