cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8079859
title: MultiScent-20 Data - Binary responses (correct vs. incorrect answers) data from full sample, for each odour

description: Data used for IRT analysis in the article "The Multiscent-20: A Digital Odour Identification Test Developed with Item<br> Response Theory", with the following authors: Marcio Nakanishi 1, *, Pedro Renato de Paula Brandão 2, *, Gustavo Subtil Magalhães<br> Freire 1 , Luis Gustavo do Amaral Vinha 3 , Marco Aurélio Fornazieri 4 , Wilma Terezinha<br> Anselmo Lima 5 , Claudia Galvão 6 , Thomas Hummel 7 1 Department of Otorhinolaryngology, University Hospital of Brasília, University of<br> Brasília, Brasília, DF, Brazil<br> 2 Neurology Department, Hospital Sírio-Libanês, Brasília, DF, Brazil<br> 3 Statistics Department, University of Brasília, DF, Brazil<br> 4 State University of Londrina, Pontifical Catholic University of Paraná<br> 5 Department of Ophthalmology and Otorhinolaryngology, Ribeirão Preto Medical<br> School-University of São Paulo, Brazil<br> 6 NOAR Brasil Ltda, São Paulo-SP, Brazil<br> 7 Smell and Taste Clinic, Department of Otorhinolaryngology, Technical University of<br> Dresden, Dresden, Germany MultiScent-20 descrition: The Multiscent-20 is a portable tablet computer with an integrated hardware<br> system consisting of a central processing unit, touchscreen, Wi-Fi antenna, USB dock,<br> power supply, and rechargeable battery. Additionally, it contains an odour system<br> composed of 20 microcartridges, an air filter, a system that generates a dry air stream,<br> and an odour-dispensing opening. The device is capable of presenting 20 different<br> odours from individual odour capsules, which store the olfactory stimuli by incorporating<br> the odours into an oil-resistant polymer. The capsules are loaded through an insertion<br> port on the back of the device.<br> A software-controlled processing unit governs the flow of dry air, generating a<br> constant air stream that passes through the capsule, releasing individual odours<br> through a small opening at the upper front of the device. In this study, each scent was<br> presented for 5 seconds, with an interval of at least 6 seconds between odour<br> presentations. Each capsule contained 35 µL of oil-based odour solution, allowing the<br> device to maintain consistent odour intensity and identifiability for up to 100 activations,<br> as per the manufacturer's instructions. The Givaudan Flavours and Fragrance<br> Corporation (São Paulo, Brazil) prepared the odours used in the capsules.<br> A digital application (software) was developed to present odours and record<br> olfactory function test results. The device delivers odours through a dry air system,<br> leaving no residue in the environment or on users. Users can access the test using an<br> application on the device (screen version) or mobile phone. The results are accessible<br> through the integrated software, allowing for storage and analysis of the data.
DOI: 10.5281/zenodo.8024991
title: Surface tension coefficient of acqueous glycerol from Molecular Dynamics simulations

description: The dataset contains the configuration files and the results of molecular simulations of aqueous glycerol liquid slabs. The aim of the simulations is to determine the surface tension of the interface between aqueous glycerol and its vapour. Simulations are performed with Gromacs 2021. The water model is SPC/E, while the force field for Glycerol is extrapolated from OPLS-AA according to the work by Jahn et al. (doi.org/10.1021/jp5059098). Surface tension is computed using Gromacs analysis tool by running <pre><code>gmx energy -f ener.edr</code></pre> and selecting the #Surf*SurfTen term, which returns the surface tension (bar*nm) times the number of surfaces (2, due to the system's periodicity). The surface tension is computed from the difference between interface-perpendicular and interface-parallel components of the pressure tensor (see Gromacs documentation or Frenkel and Smit <em>Understanding Molecular Simulations </em>second edition p.472). The nomenclature of the zip files indicates the mass fraction of glycerol, ranging from 0% (Glycerol000) to 100% (Glycerol100).
DOI: 10.5281/zenodo.7756755
title: Shear viscosity coefficient of acqueous glycerol from non-equilibrium Molecular Dynamics simulations

description: This dataset contains the results of non-equilibrium atomistic Molecular Dynamics simulations of water-glycerol liquid mixtures, at various relative concentrations. The goal of the simulations is to quantify the shear viscosity coefficient of said mixtures using the periodic perturbation technique [1]. The pattern "Glycerol***" refers to the mass fraction of glycerol ("000": pure water, "100": pure glycerol). Each folder contains three sets of simulations, with different perturbation force parameters ("Em*"), where configuration files necessary to reproduce molecular simulations simulations are provided. Maps of density and velocity field are in "Em*"-&gt;"Flow". A small self-contained Python script to fit the velocity fields to a periodic cosine perturbation is provided (fit-periodic.py). Alternatively, viscosity can be obtained from energy outputs by running: <pre><code>gmx energy -f ener.edr</code></pre> and selecting "1/Viscosity". Simulations are performed with Gromacs. We refer to the code documentation for further information (https://manual.gromacs.org/). References: [1] B. Hess, Determining the shear viscosity of model liquids from molecular dynamics simulations, J. Chem. Phys. 116, 209–217 (2002) https://doi.org/10.1063/1.1421362
DOI: 10.5281/zenodo.7576494
title: Shear viscosity coefficient of acqueous glycerol from equilibrium Molecular Dynamics simulations

description: This dataset contains the results of equilibrium atomistic Molecular Dynamics simulations of water-glycerol liquid mixtures, at various relative concentrations. The goal of the simulations is to quantify the shear viscosity coefficient of said mixtures using linear response theory (Einstein relations) [1]. The post-processing of simulation results is inspired by the method of Zhang et al. [2]. The pattern "Glycerol***" refers to the mass fraction of glycerol, being "000" pure water (0%) and "100" pure glycerol (100%). Zip folders contain Expected value and integral of the square of the off-diagonal components of the pressure gradient ("EnergyOutputs") Initial configurations used to start the ensemble of replicas from which viscosity is computed ("InitConfReplicas") Output, state and topology of replica simulations ("MdrunOutputs") A self-contained Python script (compute-visco.py) for the computation of viscosity from the output of an ensemble of simulations is provided. Integrals used to quantify viscosity via Einstein's relation can be obtained from energy output files (.edr) by running: <pre><code>gmx energy -f ener.edr -evisco -eviscoi -vis</code></pre> Simulations are performed with Gromacs. We refer to the code documentation for further information (https://manual.gromacs.org/). References: [1] B. Hess, Determining the shear viscosity of model liquids from molecular dynamics simulations, J. Chem. Phys. 116, 209–217 (2002) https://doi.org/10.1063/1.1421362 [2] Y. Zhang et al., Reliable Viscosity Calculation from Equilibrium Molecular Dynamics Simulations: A Time Decomposition Method, J. Chem. Theory Comput. 2015, 11, 3537−3546, https://doi.org/10.1021/acs.jctc.5b00351
DOI: 10.5281/zenodo.8078746
title: Empirical primary studies where gamification is used to study energy behavior

description: The data set is used to conduct a literature review on primary studies where gamification is used to study energy behavior; it contains original search results and after-filter results. The data set also includes a Bib file for all reviewed studies.
DOI: 10.5281/zenodo.8078745
title: Empirical primary studies where gamification is used to study energy behavior

description: The data set is used to conduct a literature review on primary studies where gamification is used to study energy behavior; it contains original search results and after-filter results. The data set also includes a Bib file for all reviewed studies.
DOI: 10.5281/zenodo.8047707
title: Molecular Dynamics simulations of acqueous glycerol spreading on a silica-like surface

description: This dataset contains the results of Molecular Dynamics simulations of quasi-2D water-glycerol liquid droplets, spreading on silica-like surfaces. The goal of the simulations is to quantify the contact line friction coefficient by regressing over the dynamic contact angle and the contact line speed. The pattern "Glycerol***" refers to the mass fraction of glycerol ("000": pure water, "100": pure glycerol). Each folder contains configuration files and compressed output molecular trajectories. The contact angle and the contact line speed are computed from density maps binned on-the-fly using a customized Gromacs version (https://github.com/pjohansson/gromacs-flow-field); frames are placed in a tarball ("spread-*p-r1.tar.gz"). The zipped folder 'scripts.zip' contains a self-contained library of functions to read density maps and a Jupyter notebook with an example of density reading and plotting. Simulations are performed with Gromacs. We refer to the code documentation for further information (https://manual.gromacs.org/).
DOI: 10.6084/m9.figshare.3761562.v2627
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7587518
title: Open-population models for estimating roadkill rates - Data and R Code

description: Roadkill carcass capture-recapture data, capture histories for four and eight-occasion designs, and R code (with JAGS code) for roadkill rates estimation.
DOI: 10.5281/zenodo.7587517
title: Open-population models for estimating roadkill rates - Data and R Code

description: Roadkill carcass capture-recapture data, capture histories for four and eight-occasion designs, and R code (with JAGS code) for roadkill rates estimation.
DOI: 10.5281/zenodo.8079978
title: Open-population models for estimating roadkill rates - Data and R Code

description: Roadkill carcass capture-recapture data, capture histories for four and eight-occasion designs, and R code (with JAGS code) for roadkill rates estimation.
DOI: 10.5281/zenodo.8079986
title: Open-population models for estimating roadkill rates - Data and R Code

description: Roadkill carcass capture-recapture data, capture histories for four and eight-occasion designs, and R code (with JAGS code) for roadkill rates estimation.
DOI: 10.5281/zenodo.8027882
title: Equilibrium contact angle of acqueous glycerol on a silica-like surface from Molecular Dynamics

description: This dataset contains the results of Molecular Dynamics simulations of quasi-2D water-glycerol liquid droplets, spreading on silica-like surfaces. The goal of the simulations is to quantify the equilibrium contact angle of said droplets. The pattern "Glycerol***" refers to the mass fraction of glycerol ("000": pure water, "100": pure glycerol). Each folder contains configuration files and compressed output molecular trajectories. The contact angle is computed from density maps binned on-the-fly using a customized Gromacs version (https://github.com/pjohansson/gromacs-flow-field); frames are placed in a tarball ("flow-***p.tar.gz"). The zipped folder 'scripts.zip' contains a self-contained library of functions to read density maps and a Jupyter notebook with an example of density reading and plotting. Simulations are performed with Gromacs. We refer to the code documentation for further information (https://manual.gromacs.org/).
DOI: 10.5281/zenodo.8077914
title: Equilibrium Molecular Dynamics of aqueous glycerol menisca

description: This dataset contains the results of Molecular Dynamics simulations of quasi-2D water-glycerol liquid meniscus, confined between silica-like surfaces. The goal of the simulations is to observe and quantify liquid density layering close to solid surfaces. The pattern "Glycerol***" refers to the mass fraction of glycerol ("000": pure water, "100": pure glycerol). Each folder contains configuration files and compressed output molecular trajectories. Post-processing is performed on density maps binned on-the-fly using a customized Gromacs version (https://github.com/pjohansson/gromacs-flow-field); frames are placed in a tarball ("wat-gly-*p-eq.tar.gz"). The zipped folder 'scripts.zip' contains a self-contained library of functions to read density maps and a Jupyter notebook with an example of density reading and plotting. Simulations are performed with Gromacs. We refer to the code documentation for further information (https://manual.gromacs.org/).
DOI: 10.25416/ntr.23576607
title: The National Teaching Repository - One Year Data - 26.06.23 - 26.06.23

description: The National Teaching Repository. Annual Data. <br> June 2022-June 2023
DOI: 10.25416/ntr.23576607.v1
title: The National Teaching Repository - One Year Data - 26.06.23 - 26.06.23

description: The National Teaching Repository. Annual Data. <br> June 2022-June 2023
DOI: 10.6084/m9.figshare.23576643
title: Preprocessed data for Bering segmentation purpose

description: Preprocessed data for Bering segmentation purpose
DOI: 10.6084/m9.figshare.23576643.v1
title: Preprocessed data for Bering segmentation purpose

description: Preprocessed data for Bering segmentation purpose
DOI: 10.5281/zenodo.8080042
title: axiothella_rubrocincta_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8080041
title: axiothella_rubrocincta_decontaminated_gx.fasta.gz

description: .
DOI: 10.25919/2k26-t773
title: Data and code associated with manuscript "Close-kin mark-recapture informs critically endangered terrestrial mammal status".

description: The data and files in these directories underpin the extension and application of close-kin mark-recapture (CKMR) to the critically endangered Christmas Island flying-fox. The data were generated over a set of collaborative projects between the Commonwealth Scientific and Industrial Research Organisation and the CIFF Ecology Team, which included members from West. Syd University, Taronga Zoo, Uni SA, and Parks Australia. The data were generated across two rounds of data generation and reporting, where round 1 was, in a sense, a pilot CKMR study that set the foundation for the generation of more genetic data in round 2. The primary data are SNP genotype data generated using the DArTSeq technology, mtDNA sequences in Fasta format, and the important covariate data gathered through field studies on CIFF. The data further accompany the manuscript "Lloyd-Jones, L et al. Close-kin mark-recapture informs critically endangered terrestrial mammal status", 2022". The results summarised in that manuscript appear in their raw form in this directory along with the scripts used to generate them.
DOI: 10.3886/e155901v2-139742
title: Economic growth in Germany, 1500-1850

description: New data are used to construct a time series of real GDP in Germany for the period 1500–1850 using an indirect output estimation technique that relies on wages, prices, and sectoral employment. Until the mid-seventeenth century, real GDP per capita moved inversely with population. The eighteenth century saw a modest rise of output per head. From the late 1810s economic growth gradually accelerated. The results shed new light on the reversal of fortunes in early modern Europe and the transition from a Malthusian regime to modern economic growth.<br><br><br><br><br>
DOI: 10.3886/e119441v2-139743
title: The Brief Resilience Scale (BRS)

description: We conducted three studies to validate the Polish version of the BRS. Our objectives are as follows: first, to explore the dimensional structure of the scale and to determine the internal consistency (study 1: n = 1022); second, to determine the congruent and divergent validity of the BRS (study 2: n = 242); and third, to examine sensitivity of the BRS scale to detect high-risk population (study 3: n = 602).
DOI: 10.5281/zenodo.8080092
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elizabeth Seymour Rawlinson, http://www.wikidata.org/entity/Q113530672. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113530672
DOI: 10.5517/ccdc.csd.cc2dl539
title: CCDC 2221990: Experimental Crystal Structure Determination

description: Related Article: Aurèle Camy, Laure Vendier, Christian Bijani, Israel Fernández, Sébastien Bontemps|2023|Inorg.Chem.|62|9035|doi:10.1021/acs.inorgchem.3c00785
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dl528
title: CCDC 2221989: Experimental Crystal Structure Determination

description: Related Article: Aurèle Camy, Laure Vendier, Christian Bijani, Israel Fernández, Sébastien Bontemps|2023|Inorg.Chem.|62|9035|doi:10.1021/acs.inorgchem.3c00785
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f087z
title: CCDC 2234580: Experimental Crystal Structure Determination

description: Related Article: Aurèle Camy, Laure Vendier, Christian Bijani, Israel Fernández, Sébastien Bontemps|2023|Inorg.Chem.|62|9035|doi:10.1021/acs.inorgchem.3c00785
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dl517
title: CCDC 2221988: Experimental Crystal Structure Determination

description: Related Article: Aurèle Camy, Laure Vendier, Christian Bijani, Israel Fernández, Sébastien Bontemps|2023|Inorg.Chem.|62|9035|doi:10.1021/acs.inorgchem.3c00785
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26186/147992
title: Eastern Resources Corridor Airborne Electromagnetic Interpretation Data Package

description: This data package contains interpretations of airborne electromagnetic (AEM) conductivity sections in the Exploring for the Future (EFTF) program’s Eastern Resources Corridor (ERC) study area, in south eastern Australia. Conductivity sections from 3 AEM surveys were interpreted to provide a continuous interpretation across the study area – the EFTF AusAEM ERC (Ley-Cooper, 2021), the Frome Embayment TEMPEST (Costelloe et al., 2012) and the MinEx CRC Mundi (Brodie, 2021) AEM surveys. Selected lines from the Frome Embayment TEMPEST and MinEx CRC Mundi surveys were chosen for interpretation to align with the 20 km line-spaced EFTF AusAEM ERC survey (Figure 1).The aim of this study was to interpret the AEM conductivity sections to develop a regional understanding of the near-surface stratigraphy and structural architecture. To ensure that the interpretations took into account the local geological features, the AEM conductivity sections were integrated and interpreted with other geological and geophysical datasets, such as boreholes, potential fields, surface and basement geology maps, and seismic interpretations. This approach provides a near-surface fundamental regional geological framework to support more detailed investigations. This study interpreted between the ground surface and 500 m depth along almost 30,000 line kilometres of nominally 20 km line-spaced AEM conductivity sections, across an area of approximately 550,000 km2. These interpretations delineate the geo-electrical features that correspond to major chronostratigraphic boundaries, and capture detailed stratigraphic information associated with these boundaries. These interpretations produced approximately 170,000 depth estimate points or approximately 9,100 3D line segments, each attributed with high-quality geometric, stratigraphic, and ancillary data. The depth estimate points are formatted for compliance with Geoscience Australia’s (GA) Estimates of Geological and Geophysical Surfaces (EGGS) database, the national repository for standardised depth estimate points. Results from these interpretations provided support to stratigraphic drillhole targeting, as part of the Delamerian Margins NSW National Drilling Initiative campaign, a collaboration between GA’s EFTF program, the MinEx CRC National Drilling Initiative and the Geological Survey of New South Wales. The interpretations have applications in a wide range of disciplines, such as mineral, energy and groundwater resource exploration, environmental management, subsurface mapping, tectonic evolution studies, and cover thickness, prospectivity, and economic modelling. It is anticipated that these interpretations will benefit government, industry and academia with interest in the geology of the ERC region.
DOI: 10.5281/zenodo.7414935
title: The impact of regional transport on the contributions of anthropogenic sources of PM2.5 in a mountain-basin region

description: Data for the manuscript
DOI: 10.5281/zenodo.7414936
title: The impact of regional transport on the contributions of anthropogenic sources of PM2.5 in a mountain-basin region

description: Data for the manuscript
DOI: 10.5281/zenodo.8080126
title: The impact of regional transport on the contributions of anthropogenic sources of PM2.5 in a mountain-basin region

description: Data for the manuscript
DOI: 10.6084/m9.figshare.22105817.v1
title: A model reconstructing the Aotearoa-New Zealand plate boundary from the Late Cretaceous - Supplementary data

description: This document contains descriptions of the data sources and background relating to the development of the microplate tectonic reconstruction model in the paper ‘A model reconstructing the Aotearoa-New Zealand plate boundary from the Late Cretaceous’ published in the New Zealand Journal of Geology and Geophysics, available at: https://doi.org/
DOI: 10.34740/kaggle/dsv/6023705
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/6023738
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.6084/m9.figshare.22492546.v2
title: The interactive effects of arbuscular mycorrhizal fungi and nutrient heterogeneity on root foraging traits and competitive ability of invasive and native plants

description: Root foraging associated with arbuscular mycorrhizal fungi (AMF) play an important role in nutrient uptake. While distribution of nutrients can influence the role of AMF, but the interactive effects of nutrient heterogeneity and AMF on root foraging and plant competition are still unclear. Two invasive and two native species of Asteraceae family were selected. We conducted a common garden experiment of three factors (heterogeneity, AMF and competition).