cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4729554
title: Young's modulus of railway ballast stones measured via nano-indentation

description: This data set contains measurements of the Young’s modulus of railway ballast stones.<br> Two types of railway ballast were tested: “Calcite” (stems from Croatia) and “Kieselkalk”,<br> also known as Helvetic Siliceous Limestone, (stems from Switzerland).<br> It is planned to publish a journal paper, where more details on the tested ballast and evaluations of the test results will be presented.<br> This dataset’s metadata will be updated to include the paper’s citation details. For each type of ballast, the Young’s modulus was measured on three separate stones via nano-indentation.<br> The machine used was the Hysitron TI Premier. Rock samples were ground and polished before 40 indentations were made into each sample. For the indentations, the following load function was used: 5 seconds of ramping up to 10,000 µN (1000 µN for the first pair of rock samples), 5 second dwell time, then 5 second force unloading. The outputted force-displacement curve was then analysed according to the Oliver-Pharr Method, [1], which involved the calculation of a reduced modulus and an assumption that v=0.3 to calculate the Young’s modulus. The data set contains the following files:<br> C1.csv: measurements stone 1 for Calcite ballast (35 measurement points)<br> C2.csv: measurements stone 2 for Calcite ballast (31 measurement points)<br> C3.csv: measurements stone 3 for Calcite ballast (33 measurement points)<br> KK1.csv: measurements stone 1 for Kieselkalk ballast (20 measurement points)<br> KK2.csv: measurements stone 2 for Kieselkalk ballast (25 measurement points)<br> KK3.csv: measurements stone 3 for Kieselkalk ballast (17 measurement points) Check the README.txt file for detailed information on the file content and technical aspects. Note that for the same types of railway ballast several types of measurements are openly available:<br> [2]: friction coefficient in stone-stone contact<br> [3]: shape analysis based on 3D scans<br> [4]: uniaxial compression test and direct shear test <br> References:<br> [1]: Oliver, W., Pharr, G.: An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments. Journal of Materials Research 7(6), 1564–1583 (1992). DOI 10.1557/JMR.1992.1564<br> [2]: Suhr, B., Butcher, T.A., Lewis, R., Six, K.: Cyclic friction tests of ballast stones interfaces under varying vertical load. Zenodo (2020). DOI http://doi.org/10.5281/zenodo.3893842. www.zenodo.org<br> [3]: Suhr, B., Six, K., Skipper, W., Lewis, R.: 3d scans of two types of railway ballast including shape analysis information. Zenodo (2020). DOI http://doi.org/10.5281/zenodo.3689592. www.zenodo.org<br> [4]: Suhr, B., Six, K.: Compression tests and direct shear test of two types of railway ballast [data set]. Zenodo (2018). DOI http://doi.org/10.5281/zenodo.1423742. www.zenodo.org
DOI: 10.5281/zenodo.5516388
title: Data files for manuscript "Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study"

description: #2021-09-19<br> #Summary<br> This ZIP-file contains the Excel files used for all analyses for the manuscript "Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study". <br> #File structure<br> README.txt This README file.<br> File S1 ("FileS1_GCKD-ADTKD.cohort.xlsx") Cohort characteristics, sequencing quality parameters and fingerprinting results.<br> File S2 ("FileS2_GCKD-ADTKD.content.xlsx") Sequencing panel design/ content with information on gene domains used for Figure 2.<br> File S3 ("FileS3_GCKD-ADTKD.variants.xlsx") Information on small variants, CNVs and MUC1 analyses (SNaPshot and adVNTR).<br> File S4 ("FileS4_GCKD-ADTKD.simulation.xlsx") Curated variant and individual data from the Groopman study with results of the simulation for Figure 4. <br> #Files and checksums<br> 2D6184BC145987D3EE2E0DC6873DDDDB ./README.txt<br> 10EE4C3C9D9ED6417647F26A09583820 ./FileS1_GCKD-ADTKD.cohort.xlsx<br> 9F95661845215FB7875EB053F887AB36 ./FileS2_GCKD-ADTKD.content.xlsx<br> 2AC19FBC6103CB48905F64716428AE5B ./FileS3_GCKD-ADTKD.variants.xlsx<br> 2D6184BC145987D3EE2E0DC6873DDDDB ./FileS4_GCKD-ADTKD.simulation.xlsx
DOI: 10.1594/wdcc/emac-made3_monthly
title: Evaluation of the global aerosol model EMAC-MADE3 in the uncoupled version - monthly data

description: Project: EMAC-MADE3 uncoupled - Recently, the aerosol microphysics submodel MADE3 was introduced as a successor to MADE and MADE-in. It includes nine aerosol species and nine lognormal modes to represent aerosol particles of three different mixing states throughout the aeroso size spectrum. Here we describe the implementation of the most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Summary: Simulation with most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Model details and setup specification are described in Kaiser et al. (Geosci. Model Dev., 2018). We compare simulation output to station network measurements of near-surface aerosol component mass concentrations, to airborne measurements of aerosol mass mixing ratio and number concentration vertical profiles, to ground-based and airborne measurements of particle size distributions, and to station network and satellite measurements of aerosol optical depth. Furthermore, we describe and apply a new evaluation method, which allows a comparison of model output to size-resolved electron microscopy measurements of particle composition. Although there are indications that fine mode particle deposition may be underestimated by the model, we obtained satisfactory agreement with the observations. Remaining deviations are of similar size as those identified in other global aerosol model studies. Thus, MADE3 can be considered ready for application within EMAC. Due to its detailed representation of aerosol mixing state, it is especially useful for simulating wet and dry removal of aerosol particles, aerosol-induced formation of cloud droplets and ice crystals as well as aerosol-radiation interactions. Besides studies on these fundamental processes, we also plan to use MADE3 for a reassessment of the climate effects of anthropogenic aerosol perturbations. Please cite Kaiser et al. (Geosci. Model Dev., 2018) if using the data.
DOI: 10.1594/wdcc/emac-made3_12h
title: Evaluation of the global aerosol model EMAC-MADE3 in the uncoupled version - 12 h data

description: Project: EMAC-MADE3 uncoupled - Recently, the aerosol microphysics submodel MADE3 was introduced as a successor to MADE and MADE-in. It includes nine aerosol species and nine lognormal modes to represent aerosol particles of three different mixing states throughout the aeroso size spectrum. Here we describe the implementation of the most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Summary: Simulation with most recent version of MADE3 into the atmospheric chemistry general circulation model EMAC, including a detailed evaluation of a ten-year aerosol simulation with MADE3 as part of EMAC. Model details and setup specification are described in Kaiser et al. (Geosci. Model Dev., 2018). We compare simulation output to station network measurements of near-surface aerosol component mass concentrations, to airborne measurements of aerosol mass mixing ratio and number concentration vertical profiles, to ground-based and airborne measurements of particle size distributions, and to station network and satellite measurements of aerosol optical depth. Furthermore, we describe and apply a new evaluation method, which allows a comparison of model output to size-resolved electron microscopy measurements of particle composition. Although there are indications that fine mode particle deposition may be underestimated by the model, we obtained satisfactory agreement with the observations. Remaining deviations are of similar size as those identified in other global aerosol model studies. Thus, MADE3 can be considered ready for application within EMAC. Due to its detailed representation of aerosol mixing state, it is especially useful for simulating wet and dry removal of aerosol particles, aerosol-induced formation of cloud droplets and ice crystals as well as aerosol-radiation interactions. Besides studies on these fundamental processes, we also plan to use MADE3 for a reassessment of the climate effects of anthropogenic aerosol perturbations. Please cite Kaiser et al. (Geosci. Model Dev., 2018) if using the data.
DOI: 10.3886/e128421v2
title: The Second OMGYES Women’s Pleasure Study - Angling, Rocking, Shallowing and Pairing Items

description: The 2018 OMGYES Women’s Pleasure Study is a nationally representative study that examines women's preferences for internal penetration and stimulation. The data set includes population weights, demographic information and four approaches to stimulation/penetration: angling, rocking, shallowing and pairing. This study defines each technique and describes its prevalence among U.S. adult women. Participants were recruited via the Ipsos KnowledgePanel®.
DOI: 10.5281/zenodo.1211489
title: Simulating the dispersal of Monochamus galloprovinciallis : R script of the dispersal model and video of the simulation

description: This folder contains the R script to simulate the dispersal of Monochamus galloprovincialis from an individual-based model and the resulting video. This study was conducted in the frame of the FP7 project called "REPHRAME" and a working group of ANSES (French Agency for Food, Environmental and Occupational Health & Safety). This material complements the following publication: Robinet C, David G, Jactel H (2019) Modeling the distances traveled by flying insects based on the combination of flight mill and mark-release-recapture experiments. Ecological Modelling, 402: 85-92.<br> https://doi.org/10.1016/j.ecolmodel.2019.04.006
DOI: 10.5281/zenodo.1324998
title: Supporting data for "Snap happy: camera traps are an effective sampling tool when compared to alternative methods"

description: Author recommendations and response ratios extracted from studies comparing camera traps to another survey method. These data underlie the analyses in a the journal article 'Snap happy: camera traps are an effective sampling tool when compared to alternative methods', published in the journal Royal Society Open Science (https://doi.org/10.1098/rsos.181748).
DOI: 10.6084/m9.figshare.20806420
title: Supplementary Information.csv

description: Data table showing the locations and three-way cluster probabilities for each labelled cone presented in this work
DOI: 10.5281/zenodo.5494134
title: On the differences between quality increasing and other changes in open source Java projects

description: This is the dataset for the publication "On the differences between quality increasing and other changes in open source Java projects". It contains a random sample of 2533 commits from 54 Java Apache open source projects classified by two researchers into perfective, corrective and other changes (manual_labels.csv). Moreover, we include static source code metrics and static analysis warnings for the 2533 changes in al_changes_gt.csv.gz. In addition, we include the full dataset of 125482 commits in all_changes_sebert.csv.gz with all metrics and automatic labels for every commit that was not manually labeled. The automatic labels were provided by a fine-tuned transformer model (BERT) pre-trained exclusively on software engineering data. The model can be tested live on the website accompanying the publication.
DOI: 10.5281/zenodo.5494133
title: What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes

description: This is the dataset for the publication "What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes". It contains a random sample of 2533 commits from 54 Java Apache open source projects classified by two researchers into perfective, corrective and other changes (manual_labels.csv). Moreover, we include static source code metrics and static analysis warnings for the 2533 changes in al_changes_gt.csv.gz. In addition, we include the full dataset of 125482 commits in all_changes_sebert.csv.gz with all metrics and automatic labels for every commit that was not manually labeled. The automatic labels were provided by a fine-tuned transformer model (BERT) pre-trained exclusively on software engineering data. We also provide the fine tuned version of the pre-trained model in seBERT_fine_tuned_commit_intent.tar.gz as well as a Snapshot of the SmartSHARK MongoDB database used in gathering the raw data in smartshark_emse.agz. The model can be tested live on the website accompanying the publication.
DOI: 10.5281/zenodo.7078179
title: What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes

description: This is the dataset for the publication "What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes". It contains a random sample of 2533 commits from 54 Java Apache open source projects classified by two researchers into perfective, corrective and other changes (manual_labels.csv). Moreover, we include static source code metrics and static analysis warnings for the 2533 changes in al_changes_gt.csv.gz. In addition, we include the full dataset of 125482 commits in all_changes_sebert.csv.gz with all metrics and automatic labels for every commit that was not manually labeled. The automatic labels were provided by a fine-tuned transformer model (BERT) pre-trained exclusively on software engineering data. We also provide the fine tuned version of the pre-trained model in seBERT_fine_tuned_commit_intent.tar.gz as well as a Snapshot of the SmartSHARK MongoDB database used in gathering the raw data in smartshark_emse.agz. The model can be tested live on the website accompanying the publication.
DOI: 10.5281/zenodo.7078455
title: A wildfire risk index and its components and subcomponents - NUTS2 Centro, Portugal

description: The dataset, presented as a MS Excel file and an ArcGIS Shapefile, includes a wildfire risk index and its components and subcomponents, as well as the results of a clustering process based on the main components of the wildfire risk index. The analysis units are the civil parishes comprised within the NUTS2 Centro territorial unit in central Portugal, identified by name in the column <em>ParishName </em>of the Excel file. All variables are identified in the Excel file Data, and all are included as attributes to the parish polygons in the shapefile.
description: This work was financed by national funds through FCT—Portuguese Foundation for Science and Technology, I.P., under the framework of the project "People&Fire: Reducing Risk, Living with Risk (PCIF/AGT/0136/2017), under the programme of 'Stimulus of Scientific Employment— Indi-vidual Support' (contract 2020.03873.CEECIND), and by the Research Unit UIDB/00295/2020 and UIDP/00295/2020.
DOI: 10.5281/zenodo.7078454
title: A wildfire risk index and its components and subcomponents - NUTS2 Centro, Portugal

description: The dataset, presented as a MS Excel file and an ArcGIS Shapefile, includes a wildfire risk index and its components and subcomponents, as well as the results of a clustering process based on the main components of the wildfire risk index. The analysis units are the civil parishes comprised within the NUTS2 Centro territorial unit in central Portugal, identified by name in the column <em>ParishName </em>of the Excel file. All variables are identified in the Excel file Data, and all are included as attributes to the parish polygons in the shapefile.
description: This work was financed by national funds through FCT—Portuguese Foundation for Science and Technology, I.P., under the framework of the project "People&Fire: Reducing Risk, Living with Risk (PCIF/AGT/0136/2017), under the programme of 'Stimulus of Scientific Employment— Indi-vidual Support' (contract 2020.03873.CEECIND), and by the Research Unit UIDB/00295/2020 and UIDP/00295/2020.
DOI: 10.6084/m9.figshare.21103405
title: Dataset: Perceived discrimination based on the symptoms of covid-19, mental health and emotional responses - the international online COVISTRESS survey

description: Data of the paper titled "Perceived discrimination based on the symptoms of covid-19, mental health and emotional responses - the international online COVISTRESS survey"
DOI: 10.6084/m9.figshare.21103405.v1
title: Dataset: Perceived discrimination based on the symptoms of covid-19, mental health and emotional responses - the international online COVISTRESS survey

description: Data of the paper titled "Perceived discrimination based on the symptoms of covid-19, mental health and emotional responses - the international online COVISTRESS survey"
DOI: 10.6084/m9.figshare.21103381
title: genotyping data.xlsx

description: Six SNPs including rs4736312, rs5017238, rs5301, rs5283, rs6410, and rs4534 in the <em>CYP11B1</em> gene were selected and determined in 550 ischemic stroke patients and healthy population . SNPs genotyping was determined using Agena MassARRAY iPLEX platform.
DOI: 10.5281/zenodo.7078524
title: Trajectory Analysis using Monocle3 - Galaxy Training Material

description: Input datasets for the trajectory analysis tutorial from the case study series.<br> https://training.galaxyproject.org/training-material/topics/transcriptomics/
description: This research internship was supported through EPSRC Training Grant DTP 2020-2021 Open University
DOI: 10.5281/zenodo.7078523
title: Trajectory Analysis using Monocle3 - Galaxy Training Material

description: Input datasets for the trajectory analysis tutorial from the case study series.<br> https://training.galaxyproject.org/training-material/topics/transcriptomics/
description: This research internship was supported through EPSRC Training Grant DTP 2020-2021 Open University
DOI: 10.5281/zenodo.7074702
title: Desired properties of recycling-derived fertilisers from an end-user perspective

description: This data refers to responses to questions asked to farmers and farm advisors in seven different North-West European countries, relating to the desired properties of the mineral fertiliser substitutes, recycling derived fertilisers (RDFs). In total, 1225 participants responded from Belgium, France, Germany, Ireland, Luxembourg, the Netherlands and the United Kingdom. The types of questions asked included the participants' demographics and farming activities, and the parameters, properties and qualities the respondents were looking for, to determine the desired properties of RDFs.
description: The authors would like to acknowledge the EU Interreg North-West Europe (NWE) Programme for funding this research through the Nutrient Recycling – from pilot production to farms and fields (ReNu2Farm) project.
DOI: 10.5281/zenodo.7074701
title: Desired properties of recycling-derived fertilisers from an end-user perspective

description: This data refers to responses to questions asked to farmers and farm advisors in seven different North-West European countries, relating to the desired properties of the mineral fertiliser substitutes, recycling derived fertilisers (RDFs). In total, 1225 participants responded from Belgium, France, Germany, Ireland, Luxembourg, the Netherlands and the United Kingdom. The types of questions asked included the participants' demographics and farming activities, and the parameters, properties and qualities the respondents were looking for, to determine the desired properties of RDFs.
description: The authors would like to acknowledge the EU Interreg North-West Europe (NWE) Programme for funding this research through the Nutrient Recycling – from pilot production to farms and fields (ReNu2Farm) project.
DOI: 10.5281/zenodo.7077502
title: Data set for the manuscript 'Polarization-controlled chromo-encryption'

description: In this dataset, there are 1 pdf and 2 zip files. The manuscript (<strong><em>Zenodo OpenData for chromo encryption<em>.</em>pdf</em></strong>) contains the figures of simulated and measured spectra. The corresponding raw data can refer to the 2 zip files (<strong><em>Simulated.zip </em></strong>and<strong><em> </em></strong><strong><em>Measured<em>.</em>pdf</em></strong>).
DOI: 10.5281/zenodo.7077501
title: Data set for the manuscript 'Polarization-controlled chromo-encryption'

description: In this dataset, there are 1 pdf and 2 zip files. The manuscript (<strong><em>Zenodo OpenData for chromo encryption<em>.</em>pdf</em></strong>) contains the figures of simulated and measured spectra. The corresponding raw data can refer to the 2 zip files (<strong><em>Simulated.zip </em></strong>and<strong><em> </em></strong><strong><em>Measured<em>.</em>pdf</em></strong>).
DOI: 10.5519/qd.wxww4xuz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.jock383r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.23729/c12b3b41-1c07-4096-8470-24e2fe685311
title: Baltic Sea Game Incubation -Extension project (BSGI): Mentoring Survey
title: Baltic Sea Game Incubation -Extension project (BSGI): Mentoring Survey

description: With this survey, we aim to identify and understand the challenges of mentorship in the game industry. The survey is done by Metropolia UAS in collaboration with Creative Crowd AB, Dania Academy, Invest Stockholm, and Turku Game Hub as a part of the BSGI project.
description: With this survey, we aim to identify and understand the challenges of mentorship in the game industry. The survey is done by Metropolia UAS in collaboration with Creative Crowd AB, Dania Academy, Invest Stockholm, and Turku Game Hub as a part of the BSGI project.
DOI: 10.25921/yjb4-ds32
title: ES60 Water Column Sonar Data Collected During AI16SS
DOI: 10.5281/zenodo.7059680
title: Stowaways Supplement S3: Ma'agan Mikhael B Rattus rattus Cranial and Post-cranial Measurements Datasheet

description: Table S3-1. Measurements of MMB R. rattus crania, after Lepus protocol in von den Driesch (1976: figs. 18a, b). All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation. Table S3-2. Measurements of MMB R. rattus mandibles, after Lepus protocol in von den Driesch (1976: fig. 25). All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation. Table S3-3. Measurements of selected MMB R. rattus post-cranial bones. GL=greatest length, GB=greatest breadth, Bp=proximal breadth, Bd=distal breadth. All measurements in mm. N-dash represents a measurement that was not applicable or not available based on the element’s state of preservation.
description: {"references": ["von den Driesch, A. (1976). A Guide to the Measurement of Animal Bones from Archaeological Sites. Peabody Museum Bulletin 1, 138."]}
DOI: 10.6084/m9.figshare.14745648
title: Motor unit data for rate of force development changes discharge behaviour

description: Motor unit discharge timings and forces during all the ramp tasks. Data are stored in a single Matlab file using Matlab structures. The raw data for motor unit firing times are also stored in an Excel file.
DOI: 10.6084/m9.figshare.14745648.v2
title: Motor unit data for rate of force development changes discharge behaviour

description: Motor unit discharge timings and forces during all the ramp tasks. Data are stored in a single Matlab file using Matlab structures. The raw data for motor unit firing times are also stored in an Excel file.