cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8131579
title: Dataset for the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest"

description: Datasets to accompany the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest". Written by J. Elgy and P. D. Ledger (Keele University, 2023). The datasets include data files, meshes, and source code for generating figures from the paper. This requires the open source MPT-Calculator software available at https://github.com/MPT-Calculator/MPT-Calculator (InitialRelease branch). The authors gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1
description: Funded via UK EPSRC grant EP/V009028/1
DOI: 10.5281/zenodo.8131580
title: Dataset for the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest"

description: Datasets to accompany the article "Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest". Written by J. Elgy and P. D. Ledger (Keele University, 2023). The datasets include data files, meshes, and source code for generating figures from the paper. This requires the open source MPT-Calculator software available at https://github.com/MPT-Calculator/MPT-Calculator (InitialRelease branch). The authors gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1
description: Funded via UK EPSRC grant EP/V009028/1
DOI: 10.4121/1ce1b3da-ff03-487f-9b9d-592f8dea3c3b
title: Supplementary data for the paper: Modeling the effect of temperature and pressure on the peak and steady-state ply-ply friction response for UD C/PAEK tapes

description: The dataset contains supplementary data for the accepted paper: 'Modeling the effect of temperature and pressure on the peak and steady-state ply-ply friction response for UD C/PAEK tapes' to be published in Composites Part A: Applied Science and Manufacturing. The dataset consists of ply-ply friction tests for UD C/PEEK and C/LM-PAEK tape in melt using a purpose-built friction tester, which simulates the response during actual hot press forming of thermoplastic matrix composites. Typically, the material response exhibits a peak followed by a steady-state friction depending on the applied rate. A range of sliding rates was measured at constant temperature and normal pressure conditions to construct a flow curve of the peak and steady-state shear stress versus applied rate, showing the rate-dependency in a comprehensible manner. Different temperature and normal pressure conditions were considered to investigate the effect of temperature and normal pressure on the friction response. The experimental procedure is outlined and an overview of the used specimens with the test conditions is provided. Our modeling work to predict the peak and steady-state friction for UD TPC tape in melt as presented in an earlier publication (DOI: 10.1016/j.compositesa.2022.107185) is extended to include the effect of temperature and normal pressure. The dataset includes the scripts for the shear flow model as well as the required matrix viscosity data. The Matlab scripts are named according to the figures as shown in the mentioned paper.
DOI: 10.4121/1ce1b3da-ff03-487f-9b9d-592f8dea3c3b.v1
title: Supplementary data for the paper: Modeling the effect of temperature and pressure on the peak and steady-state ply-ply friction response for UD C/PAEK tapes

description: The dataset contains supplementary data for the accepted paper: 'Modeling the effect of temperature and pressure on the peak and steady-state ply-ply friction response for UD C/PAEK tapes' to be published in Composites Part A: Applied Science and Manufacturing. The dataset consists of ply-ply friction tests for UD C/PEEK and C/LM-PAEK tape in melt using a purpose-built friction tester, which simulates the response during actual hot press forming of thermoplastic matrix composites. Typically, the material response exhibits a peak followed by a steady-state friction depending on the applied rate. A range of sliding rates was measured at constant temperature and normal pressure conditions to construct a flow curve of the peak and steady-state shear stress versus applied rate, showing the rate-dependency in a comprehensible manner. Different temperature and normal pressure conditions were considered to investigate the effect of temperature and normal pressure on the friction response. The experimental procedure is outlined and an overview of the used specimens with the test conditions is provided. Our modeling work to predict the peak and steady-state friction for UD TPC tape in melt as presented in an earlier publication (DOI: 10.1016/j.compositesa.2022.107185) is extended to include the effect of temperature and normal pressure. The dataset includes the scripts for the shear flow model as well as the required matrix viscosity data. The Matlab scripts are named according to the figures as shown in the mentioned paper.
DOI: 10.25934/pr00008873
title: Multimodal data-driven analysis of T1D in pediatrics and adults with machine learning 

description: N/A
DOI: 10.4121/18c31829-6d22-493f-84fd-12cd992a1b7e
title: Code accompanying the publication : "Chirality-Induced Spin Selectivity (CISS) Effect: Magnetocurrent–Voltage Characteristics with Coulomb Interactions I"

description: Code that accompanies the publication "Chirality-Induced Spin Selectivity (CISS) Effect: Magnetocurrent–Voltage Characteristics with Coulomb Interactions I"The .zip file contains the code used to make the figures in that paper.The .zip file contains : jupyternotebook (.ipynb) and pyfiles (.py) and a READ_ME file. Please see the README file in the .zip file for explanation of the code.
DOI: 10.4121/18c31829-6d22-493f-84fd-12cd992a1b7e.v1
title: Code accompanying the publication : "Chirality-Induced Spin Selectivity (CISS) Effect: Magnetocurrent–Voltage Characteristics with Coulomb Interactions I"

description: Code that accompanies the publication "Chirality-Induced Spin Selectivity (CISS) Effect: Magnetocurrent–Voltage Characteristics with Coulomb Interactions I"The .zip file contains the code used to make the figures in that paper.The .zip file contains : jupyternotebook (.ipynb) and pyfiles (.py) and a READ_ME file. Please see the README file in the .zip file for explanation of the code.
DOI: 10.3886/e171061v1-140109
title: Just Venmo me: Does form of payment affect risk taking and intertemporal choice?

description: We use an experiment to examine whether form of payment (cash or mobile money) affects estimates of intertemporal choice and risk taking. We find that form of payment does not affect temporal discounting and risk taking. Given that participants prefer payment via mobile money, the results suggest that there are minimal concerns with using mobile money to pay participants in experimental studies.
DOI: 10.4121/550bc3d0-e5b7-4575-b694-c3702cbd81cf
title: Code accompanying the publication : "CISS effect: Magnetocurrent-voltage characteristics with Coulomb interactions. II"

description: Code that accompanies the publication "CISS effect: Magnetocurrent-voltage characteristics with Coulomb interactions. II".The .zip file contains the code used to make the figures in that paper.The .zip file contains : jupyternotebook (.ipynb) and pyfiles (.py) and a READ_ME file. Please see the README file in the .zip file for explanation of the code.
DOI: 10.4121/550bc3d0-e5b7-4575-b694-c3702cbd81cf.v1
title: Code accompanying the publication : "CISS effect: Magnetocurrent-voltage characteristics with Coulomb interactions. II"

description: Code that accompanies the publication "CISS effect: Magnetocurrent-voltage characteristics with Coulomb interactions. II".The .zip file contains the code used to make the figures in that paper.The .zip file contains : jupyternotebook (.ipynb) and pyfiles (.py) and a READ_ME file. Please see the README file in the .zip file for explanation of the code.
DOI: 10.4121/ece54d9e-8ae9-44a6-8f7b-3fb562d1488b.v1
title: Code Accompanying publication : "CISS Effect: A Magnetoresistance Through Inelastic Scattering"

description: Code accompanying the publication "CISS Effect: A Magnetoresistance Through Inelastic Scattering".The .zip file contains the code used to make the figures in that paper.The .zip file contains : jupyternotebook (.ipynb) and (.py) files and a READ_ME file. Please see the README file in the .zip file for explanation of the code.
DOI: 10.5281/zenodo.4536989
title: Material stock map of Germany

description: Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. <strong>Temporal extent</strong><br> The map is representative for ca. 2018. <strong>Data format</strong><br> Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. <strong>Units</strong> area in m² height in m volume in m³ mass in t for infrastructure and buildings <strong>Further information</strong><br> For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).<br> A web-visualization of this dataset is available here.<br> Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Publication</strong><br> Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology <strong>Funding</strong><br> This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
DOI: 10.5281/zenodo.4536990
title: Material stock map of Germany

description: Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Germany on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. <strong>Temporal extent</strong><br> The map is representative for ca. 2018. <strong>Data format</strong><br> Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. <strong>Units</strong> area in m² height in m volume in m³ mass in t for infrastructure and buildings <strong>Further information</strong><br> For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).<br> A web-visualization of this dataset is available here.<br> Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Publication</strong><br> Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology <strong>Funding</strong><br> This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
DOI: 10.5281/zenodo.4522892
title: Material stock map of Austria

description: Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Austria on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. <strong>Temporal extent</strong><br> The map is representative for ca. 2018. <strong>Data format</strong><br> Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. <strong>Units</strong> area in m² height in m volume in m³ mass in t for infrastructure and buildings <strong>Further information</strong><br> For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).<br> A web-visualization of this dataset is available here.<br> Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Publication</strong><br> Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology <strong>Funding</strong><br> This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
DOI: 10.5281/zenodo.4522891
title: Material stock map of Austria

description: Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. This dataset features a detailed map of material stocks for the whole of Austria on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors. <strong>Temporal extent</strong><br> The map is representative for ca. 2018. <strong>Data format</strong><br> Per federal state, the data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. The dataset features area and mass for different street types area and mass for different rail types area and mass for other infrastructure area, volume and mass for different building types Masses are reported as total values, and per material category. <strong>Units</strong> area in m² height in m volume in m³ mass in t for infrastructure and buildings <strong>Further information</strong><br> For further information, please see the publication or contact Helmut Haberl (helmut.haberl@boku.ac.at).<br> A web-visualization of this dataset is available here.<br> Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Publication</strong><br> Haberl, H., Wiedenhofer, D., Schug, F., Frantz, D., Virág, D., Plutzar, C., Gruhler, K., Lederer, J., Schiller, G. , Fishman, T., Lanau, M., Gattringer, A., Kemper, T., Liu, G., Tanikawa, H., van der Linden, S., Hostert, P. (accepted): High-resolution maps of material stocks in buildings and infrastructures in Austria and Germany. Environmental Science & Technology <strong>Funding</strong><br> This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). ML and GL acknowledge funding by the Independent Research Fund Denmark (CityWeight, 6111-00555B), ML thanks the Engineering and Physical Sciences Research Council (EPSRC; project Multi-Scale, Circular Economic Potential of Non-Residential Building Scale, EP/S029273/1), JL acknowledges funding by the Vienna Science and Technology Fund (WWTF), project ESR17-067, TF acknowledges the Israel Science Foundation grant no. 2706/19.
DOI: 10.5281/zenodo.8139355
title: Dataset for the Charged multivesicular body protein 2b antibody screening study

description: This project contains the following underlying data included in a study which characterized antibodies for Charged multivesicular body protein 2b. The study is available on Zenodo (https://doi.org/10.5281/zenodo.6370501).
DOI: 10.5281/zenodo.8139356
title: Dataset for the Charged multivesicular body protein 2b antibody screening study

description: This project contains the following underlying data included in a study which characterized antibodies for Charged multivesicular body protein 2b. The study is available on Zenodo (https://doi.org/10.5281/zenodo.6370501).
DOI: 10.5281/zenodo.6612215
title: In vivo characterization of antibodies directed against TREAT-AD target proteins in mouse model of AD pathology

description: <em>In vivo </em>characterization of antibodies directed against TREAT-AD target proteins (Moesin, CD44, Midkine, and SFRP1) in the 5xFAD mouse model
description: This work was supported by the NIH National Institutes on Aging TREAT-AD Center for Alzheimer's Disease grant U54AG065187.
DOI: 10.5281/zenodo.6612214
title: In vivo characterization of antibodies directed against TREAT-AD target proteins in mouse model of AD pathology

description: <em>In vivo </em>characterization of antibodies directed against TREAT-AD target proteins (Moesin, CD44, Midkine, and SFRP1) in the 5xFAD mouse model
description: This work was supported by the NIH National Institutes on Aging TREAT-AD Center for Alzheimer's Disease grant U54AG065187.
DOI: 10.25573/serc.21295716.v1
title: Dataset: Sediment depth and accretion shape belowground mangrove carbon stocks across a range of climatic and geologic settings.

description: We assessed the limits of mangrove sedimentary carbon storage by sampling sediments in diverse mangrove environments across four geographic areas: the volcanic Galapagos, the arid Baja Peninsula, and the geologically and climatically distinct Caribbean and Pacific coasts of Panama. At 80 sites across these areas, we quantified the organic carbon density, sampled with depth, of entire sediment columns. Most sites were cored in several locations, generally across an intertidal transect. Sediment depth, bulk density, and organic carbon density were measured with depth in each core. Some cores also had one or more sample depth radiocarbon dated, allowing for estimates of long-term accretion rates. Depth-integrated carbon stocks are highly variable, from &lt; 17 to &gt; 1700 MgCorg ha-1.