cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24378/exe.4324
title: The statistical properties of stars and their dependence on redshift (dataset)

description: This dataset contains output from three SPH simulations and some of the data produced during the analysis of the calculations used for the Bate (2022b) article "The statistical properties of stars at redshift, z=5, compared with the present epoch" published in Monthly Notices of the Royal Astronomical Society, which is available in ORE at: http://hdl.handle.net/10871/131861
description: This repository contains three datasets from the original smoothed particle hydrodynamics (SPH) calculations for the associated paper (Bate 2022b, submitted Sept 2022), including the SPH dump files that were used to make Figures 3-7 in the paper. There are 3 new SPH calculations discussed in the paper, each performed using 35 million SPH particles, but using different metallicities. The calculations were all performed with an interstellar radiation field (ISRF) that had a cosmic microwave background radiation (CMBR) component that was appropriate for a redshift of z=5. The metallicities correspond to solar metallicity (METAL1), 1/10 solar metallicity (METAL01) and 1/100 solar metallicity (METAL001). Input and output files from each calculation are found in the zip files that begin with BATE2022B_REDSHIFT5_METAL*. For example, BATE2022B_REDSHIFT5_METAL01_PAPER.zip contains the input and output files from the calculation with 1/10 solar metallicity. The output files include ASCII files outputting global properties of the calculation at the times that dump files were written (filenames beginning with the letters "clR"), and Fortran binary files (beginning with the letter P in the Analysis sub-directories) that give sink particle properties throughout the calculations. The P-files can be read using the Fortran programme included in the repository: ptmass_simple_MPI_2.f . For each of the three calculations, 4 full SPH dump files are provided. The first, called CLU0000 for each calculation, provides the SPH initial conditions for that calculation. The other 3 dump files for each calculation were written at 1.0, 1.1, and 1.2 initial cloud free-fall times. These files also begin with the letters "CLU". They were used to generate Figures 3-7 in the paper. The SPH dump files (and other Fortran binary files) were written in big endian format and generated by the sphNG code. The SPH dump files can be read, visualised, and manipulated using the free, publicly available SPLASH visualisation code (which reads sphNG dump files), written by Daniel Price, that can be downloaded from: http://users.monash.edu.au/~dprice/splash/ Some SPLASH configuration files that were used to generate figures for the paper are provided in the datasets. Animations associated of the calculations can be found at: http://www.astro.ex.ac.uk/people/mbate/Cluster/clusterRedshift.html
DOI: 10.5258/soton/d2458
title: Dataset in support of the Southampton doctoral thesis 'Exploring and Evaluating the Cross-Cultural Applicability of Compassion-Based Approaches'

description: The following attachments include data collected across paper 2 (Qualitative interviews), paper 3 (quantitative surveys), and paper 4 (surveys at different time points for the experimental study). Attachments are clearly labelled referring to each study of the thesis.
DOI: 10.5281/zenodo.7371473
title: ddRAD sequencing/nSSR data of Alnus glutinosa populations in Pannonia and the Western Carpathians

description: ddRAD sequencing data from Stacks (SNPs) along with corresponding population information, including environmental and other data; and nSSR data with corresponding population coordinates for a selection of Pannonian and Western Carpathian Alnus glutinosa populations. Draft paper name: Interplay between tree genetic variation, plant community composition and environment in forest communities dominated by black alder (Alnus glutinosa (L.) Gaertn.)
DOI: 10.5281/zenodo.7371472
title: ddRAD sequencing/nSSR data of Alnus glutinosa populations in Pannonia and the Western Carpathians

description: ddRAD sequencing data from Stacks (SNPs) along with corresponding population information, including environmental and other data; and nSSR data with corresponding population coordinates for a selection of Pannonian and Western Carpathian Alnus glutinosa populations. Draft paper name: Interplay between tree genetic variation, plant community composition and environment in forest communities dominated by black alder (Alnus glutinosa (L.) Gaertn.)
DOI: 10.5281/zenodo.7371409
title: F-UJI and FAIR Enough tool comparison dataset (European Research Data Landscape study)

description: Dataset used to compare the assessment results on the levels of Findability, Accessability, Interoperability and Reusability of datasets in a sample of repositories, by means of the F-UJI FAIR data assessment tool and FAIR-Enough assessment tool. Assessment carried out for the European Research Data Landscape study.
DOI: 10.5281/zenodo.7371408
title: F-UJI and FAIR Enough tool comparison dataset (European Research Data Landscape study)

description: Dataset used to compare the assessment results on the levels of Findability, Accessability, Interoperability and Reusability of datasets in a sample of repositories, by means of the F-UJI FAIR data assessment tool and FAIR-Enough assessment tool. Assessment carried out for the European Research Data Landscape study.
DOI: 10.5281/zenodo.7371107
title: Data from: Nanoscale characterization of collagen structural responses to in situ loading in rat Achilles tendons

description: This dataset is originally used in: I. Silva Barreto, M. Pierantoni, M. Hammerman, E. Törnquist, S. Le Cann, A. Diaz, J. Engqvist, M. Liebi, P. Eliasson, H. Isaksson, <em>Nanoscale characterization of collagen structural responses to in situ loading in rat Achilles tendons</em>, <strong>Matrix Biology</strong> (2022), doi:https://doi.org/10.1016/j.matbio.2022.11.006 <strong>Abstract:</strong> The specific viscoelastic mechanical properties of Achilles tendons are highly dependent on the structural characteristics of collagen at and between all hierarchical levels. Research has been conducted on the deformation mechanisms of positional tendons and single fibrils, but knowledge about the coupling between the whole tendon and nanoscale deformation mechanisms of more commonly injured energy-storing tendons, such as Achilles tendons, remains sparse. By exploiting the highly periodic arrangement of tendons at the nanoscale, <em>in situ</em> loading of rat Achilles tendons during small-angle X-ray scattering acquisition was used to investigate the collagen structural response during load to rupture, cyclic loading and stress relaxation. The fibril strain was substantially lower than the applied tissue strain. The fibrils strained linearly in the elastic region of the tissue, but also exhibited viscoelastic properties, such as an increased stretchability and recovery during cyclic loading and fibril strain relaxation during tissue stress relaxation. We demonstrate that the changes in the width of the collagen reflections could be attributed to strain heterogeneity and not changes in size of the coherently diffracting domains. Fibril strain heterogeneity increased with applied loads and after the toe region, fibrils also became increasingly disordered. Additionally, a thorough evaluation of radiation damage was performed. In conclusion, this study clearly displays the simultaneous structural response and adaption of the collagen fibrils to the applied tissue loads and provide novel information about the transition of loads between length scales in the Achilles tendon. Any queries related to the data set or the publication may be directed to Hanna Isaksson by email (hanna.isaksson@bme.lth.se).
DOI: 10.5281/zenodo.7371106
title: Data from: Nanoscale characterization of collagen structural responses to in situ loading in rat Achilles tendons

description: This dataset is originally used in: I. Silva Barreto, M. Pierantoni, M. Hammerman, E. Törnquist, S. Le Cann, A. Diaz, J. Engqvist, M. Liebi, P. Eliasson, H. Isaksson, <em>Nanoscale characterization of collagen structural responses to in situ loading in rat Achilles tendons</em>, <strong>Matrix Biology</strong> (2022), doi:https://doi.org/10.1016/j.matbio.2022.11.006 <strong>Abstract:</strong> The specific viscoelastic mechanical properties of Achilles tendons are highly dependent on the structural characteristics of collagen at and between all hierarchical levels. Research has been conducted on the deformation mechanisms of positional tendons and single fibrils, but knowledge about the coupling between the whole tendon and nanoscale deformation mechanisms of more commonly injured energy-storing tendons, such as Achilles tendons, remains sparse. By exploiting the highly periodic arrangement of tendons at the nanoscale, <em>in situ</em> loading of rat Achilles tendons during small-angle X-ray scattering acquisition was used to investigate the collagen structural response during load to rupture, cyclic loading and stress relaxation. The fibril strain was substantially lower than the applied tissue strain. The fibrils strained linearly in the elastic region of the tissue, but also exhibited viscoelastic properties, such as an increased stretchability and recovery during cyclic loading and fibril strain relaxation during tissue stress relaxation. We demonstrate that the changes in the width of the collagen reflections could be attributed to strain heterogeneity and not changes in size of the coherently diffracting domains. Fibril strain heterogeneity increased with applied loads and after the toe region, fibrils also became increasingly disordered. Additionally, a thorough evaluation of radiation damage was performed. In conclusion, this study clearly displays the simultaneous structural response and adaption of the collagen fibrils to the applied tissue loads and provide novel information about the transition of loads between length scales in the Achilles tendon. Any queries related to the data set or the publication may be directed to Hanna Isaksson by email (hanna.isaksson@bme.lth.se).
DOI: 10.5281/zenodo.7310477
title: Mapping Sustainable Development Goals to Citizen Science projects - Datasets

description: This work presents opportunities, achievements, and future challenges in using computational analytics to better understand the connection between CS and the SDGs. The work in its status does not fully cover SDGs in CS, but it evaluates and shows the potential of the text-classification techniques for identifying SDGs in CS project descriptions and for assessing trends in connection of CS and SDGs based on available data. A total of 56 websites have been used to extract randomly 208 project descriptions from the CS Track database collected during 2019-2022. <strong>Content and grouping: </strong> Compiled list of keywords for SDG mapping. Spreadsheet containing training data from SciStarter (set of projects associated with SDGs) Spreadsheet containing the list of projects associated with SDGs in relation to the different automatic classifiers (nCoder, ESA and OSDG) and manual coding. Presentation in CS Track ECSA event (8th October 2022, Berlin): CS-Track database: a central database of CS projects in Europe that can be key to understand the connection of CS and SDGs “Understanding the nature of Citizen Science in a rapidly changing world” The associated full report resulting from this study is in progress. Please contact the corresponding authors for further information.
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7310476
title: Mapping Sustainable Development Goals to Citizen Science projects - Datasets

description: This work presents opportunities, achievements, and future challenges in using computational analytics to better understand the connection between CS and the SDGs. The work in its status does not fully cover SDGs in CS, but it evaluates and shows the potential of the text-classification techniques for identifying SDGs in CS project descriptions and for assessing trends in connection of CS and SDGs based on available data. A total of 56 websites have been used to extract randomly 208 project descriptions from the CS Track database collected during 2019-2022. <strong>Content and grouping: </strong> Compiled list of keywords for SDG mapping. Spreadsheet containing training data from SciStarter (set of projects associated with SDGs) Spreadsheet containing the list of projects associated with SDGs in relation to the different automatic classifiers (nCoder, ESA and OSDG) and manual coding. Presentation in CS Track ECSA event (8th October 2022, Berlin): CS-Track database: a central database of CS projects in Europe that can be key to understand the connection of CS and SDGs “Understanding the nature of Citizen Science in a rapidly changing world” The associated full report resulting from this study is in progress. Please contact the corresponding authors for further information.
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.6084/m9.figshare.21629645.v1
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.6084/m9.figshare.21629645.v2
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.6084/m9.figshare.21629645.v3
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.6084/m9.figshare.21629645.v4
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.5281/zenodo.7310353
title: Sustainable Development Goals (SDG) in citizen science - Dataset

description: The assignment results of SDGs to CS project descriptions are provided in the following dataset. The analysis was conducted based on data retrieved from the CSTRack database on 2022/09/15. See further detail about the study in D2.2 section 7.3. <strong>Content and grouping: </strong> The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved), Project Title (Name of the CS project), SDG assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend), SDG assignment reported in section 7.2 of D2.2 (which only considered the SDG assignment with the highest similarity).
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7310352
title: Sustainable Development Goals (SDG) in citizen science - Dataset

description: The assignment results of SDGs to CS project descriptions are provided in the following dataset. The analysis was conducted based on data retrieved from the CSTRack database on 2022/09/15. See further detail about the study in D2.2 section 7.3. <strong>Content and grouping: </strong> The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved), Project Title (Name of the CS project), SDG assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend), SDG assignment reported in section 7.2 of D2.2 (which only considered the SDG assignment with the highest similarity).
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7332112
title: Skills of science inquiry in citizen science - Datasets

description: The dataset provides results of a prediction task aimed at predicting the presence of science inquiry skills in CS project descriptions. Only 2939 English project descriptions from the database were used for prediction and the results indicated 438 projects (around 15%) consist of one or more skills of science inquiry that we were interested in. In total 20 different types of science inquiry skills were considered for this study. See further detail in D2.2 section 7.4. <strong>Content and grouping: </strong> The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved), Project Title (Name of the CS project), How many times each science inquiry skill (keywords) was mentioned in each project description.
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7310319
title: Skills of science inquiry in citizen science - Datasets

description: The dataset provides results of a prediction task aimed at predicting the presence of science inquiry skills in CS project descriptions. Only 2939 English project descriptions from the database were used for prediction and the results indicated 438 projects (around 15%) consist of one or more skills of science inquiry that we were interested in. In total 20 different types of science inquiry skills were considered for this study. See further detail in D2.2 section 7.4. <strong>Content and grouping: </strong> The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved), Project Title (Name of the CS project), How many times each science inquiry skill (keywords) was mentioned in each project description.
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.15151/esrf-es-962079034
title: Local environment of Cu doped vertically aligned wurtzite ZnO nanowires probed by XNLD

description: Vertically aligned wurtzite ZnO nanowires doped with Cu are investigated by X-ray Natural Linear Dichroism. XNLD measurements performed at the Cu and Zn K-edges will allow us to probe the charge anisotropy of the empty 4p states and with the help of FDMNES simulations to provide information on the local environment surrounding the Cu dopants. Those measurements done on as-grown samples under different pH conditions will give us a deep insight into the physicochemical processes during the formation of ZnO NWs and the related copper incorporation mechanisms which will open the way for carefully controlling their physical properties as required for nanoscale device engineering.
DOI: 10.6084/m9.figshare.21629645.v5
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.6084/m9.figshare.19539085
title: Global models and predictions of plant diversity based on advanced machine learning techniques

description: Data, code and vascular plant diversity predictions from Cai et al. 2022
DOI: 10.6084/m9.figshare.19539085.v1
title: Global models and predictions of plant diversity based on advanced machine learning techniques

description: Data, code and vascular plant diversity predictions from Cai et al. 2022
DOI: 10.15129/cc3d1dcd-0ffb-4c38-aab7-b47712938d13
title: Electricity consumption measurements from three dairy farms in Germany

description: Energy consumption data measured at three dairy farms in Germany, for a period of 1 year, sampled at 10 seconds interval. The dataset contains high consuming appliances such as milking robot, compressor, vacuum and water pump, and cleaning equipment. This work has been carried out as part of the MSCA ITN GECKO project. The data collection was performed by Discovergy GmbH. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955422.
DOI: 10.6084/m9.figshare.21629645.v6
title: Supplemental Data for MPAN

description: Our proposed MPAN of the paper "Multi-phase Attention Network for Face Super-Resolution" builds on integrated residual attention groups (IRAG) and a concatenated attention module (CAM). The IRAG consists of residual channel attention blocks (RCAB) and an integrated attention module (IAM). My dataset contains supplemental data for this paper. These data include the structure of our proposed network, the quantitative results of algorithms and comparisons of algorithms on our face dataset.
DOI: 10.5517/ccdc.csd.cc29zj94
title: CCDC 2144496: Experimental Crystal Structure Determination

description: Related Article: Paola S. Hellwig, Angelita M. Barcellos, Roberta Cargnelutti, Thiago Barcellos, Gelson Perin|2022|J.Org.Chem.|87|15050|doi:10.1021/acs.joc.2c01490
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: 10.5281/zenodo.7371624
title: Screening for Chagas disease using a deep neural network

description: Pre-trained models accompanying the source code at https://github.com/carji475/ecg-chagas
DOI: 10.5281/zenodo.7371623
title: Screening for Chagas disease using a deep neural network

description: Pre-trained models accompanying the source code at https://github.com/carji475/ecg-chagas