cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21545909.v1
title: Automatic Rietveld refinement by robotic process automation with RIETAN-FP

description: Rietveld analysis necessitates the manual trial-and-error refinement of various parameters. To reduce human costs and resources, we have developed a robotic process automation (RPA) system for the Rietveld analysis program RIETAN-FP. By executing our proposed RPA programs, the background parameters of intensities can be determined, and black-box optimizations used to automatically search for peak profile parameters with a small Rwp value. Additionally, we evaluated the programs for analyzing X-ray powder diffraction patterns of anatase TiO<sub>2</sub>, Ca<sub>5</sub>(PO<sub>4</sub>)<sub>3</sub>F, and BaSO<sub>4</sub>. Consequently, it was verified that RPA can be utilized to automate Rietveld analysis in simple cases. This indicates that RPA can be used for conducting black-box optimizations for graphical user interface (GUI) applications in materials science.
DOI: 10.6084/m9.figshare.19085877.v2
title: Direct <i>in-situ</i> temperature measurement for lamp-based heating device

description: Despite a wide variety of its practical applications, handiness, and cost-effectiveness, the advance of lamp-based heating devices is obstructed by one technical difficulty in measuring the temperature on a heated material. This difficulty originates in the combination of a polychromatic light source and a radiation thermometer that determines temperature from radiation (i.e. light). A new system developed in this study overcomes this intrinsic difficulty by measuring exclusively the radiation from the heated material, allowing us to perform the direct and <i>in-situ</i> measurement of temperature in a light-based heating device (an arc image furnace). Test measurements demonstrated the reliability of temperature measurement using the developed system as well as its promising potential for the determination of emissivity at high temperature particularly in the infrared region.
DOI: 10.6084/m9.figshare.21545909
title: Automatic Rietveld refinement by robotic process automation with RIETAN-FP

description: Rietveld analysis necessitates the manual trial-and-error refinement of various parameters. To reduce human costs and resources, we have developed a robotic process automation (RPA) system for the Rietveld analysis program RIETAN-FP. By executing our proposed RPA programs, the background parameters of intensities can be determined, and black-box optimizations used to automatically search for peak profile parameters with a small Rwp value. Additionally, we evaluated the programs for analyzing X-ray powder diffraction patterns of anatase TiO<sub>2</sub>, Ca<sub>5</sub>(PO<sub>4</sub>)<sub>3</sub>F, and BaSO<sub>4</sub>. Consequently, it was verified that RPA can be utilized to automate Rietveld analysis in simple cases. This indicates that RPA can be used for conducting black-box optimizations for graphical user interface (GUI) applications in materials science.
DOI: 10.6084/m9.figshare.21100129
title: Trajectory of AKI and hospital mortality in patients with COVID-19

description: <br> Laboratory data, mortality outcome, and AKI trajectory of patients admitted to a single center for COVID-19 from 2020 to 2021 are coded. TPNL : T, transient; P,persistient; N,nonrecovery; L, late AKI
DOI: 10.6084/m9.figshare.21100129.v2
title: Trajectory of AKI and hospital mortality in patients with COVID-19

description: <br> Laboratory data, mortality outcome, and AKI trajectory of patients admitted to a single center for COVID-19 from 2020 to 2021 are coded. TPNL : T, transient; P,persistient; N,nonrecovery; L, late AKI
DOI: 10.6084/m9.figshare.21100129.v1
title: Trajectory of AKI and hospital mortality in patients with COVID-19

description: <br> Laboratory data, mortality outcome, and AKI trajectory of patients admitted to a single center for COVID-19 from 2020 to 2021 are coded. TPNL : T, transient; P,persistient; N,nonrecovery; L, late AKI
DOI: 10.5281/zenodo.7428485
title: mofdscribe data - thermal stability

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use.</em>
DOI: 10.5281/zenodo.7428484
title: mofdscribe data - thermal stability

description: Dataset used by the mofdscribe software. Contains a subset of the original data, as well as hashes and features. <em>Not intended for direct use.</em>
DOI: 10.5281/zenodo.7198562
title: Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure

description: Figures data for submission of paper ``Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure'' by Ondrej Soucek, Marie Behounkova, Dustin M. Schroeder, Natalie S. Wolfenbarger, Klara Kalousova, Gregor Steinbruegge and Krista M. Soderlund.
DOI: 10.5281/zenodo.7198563
title: Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure

description: Figures data for submission of paper ``Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure'' by Ondrej Soucek, Marie Behounkova, Dustin M. Schroeder, Natalie S. Wolfenbarger, Klara Kalousova, Gregor Steinbruegge and Krista M. Soderlund.
DOI: 10.5281/zenodo.7428498
title: Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure

description: Figures data for submission of paper ``Radar Attenuation in Enceladus' Ice Shell: Obstacles and Opportunities for Constraining Shell Thickness, Chemistry, and Thermal Structure'' by Ondrej Soucek, Marie Behounkova, Dustin M. Schroeder, Natalie S. Wolfenbarger, Klara Kalousova, Gregor Steinbruegge and Krista M. Soderlund.
DOI: 10.34740/kaggle/dsv/4712359
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.3603045
title: Simulation data and software scripts used in calculus of ∆36 signature from EMAC clumped O2 isotope-inclusive model

description: This publication contains simulation data and software scripts for calculating quantities related to clumped oxygen isotope signature (∆<sub>36</sub>) derivation, as described in the "static" framework of Yeung‍ et‍ al. (2016), hereinafter "Y16") and subsequently used in Yeung‍ et‍ al.‍ (2019) analysis. We provide the output of the 1950–2011 transient simulation with EMAC model with explicit "dynamic" simulation of ∆<sub>36</sub> (i.e. <sup>18</sup>O<sup>18</sup>O isotopologues undergoing transport, mixing and O(<sup>3</sup>P)-mediated isotope equilibration) to demonstrate the importance of several assumptions/simplifications involved in the static calculus. Please refer to .README.pdf for details.
description: {"references": ["NOAA PMEL Ferret (https://ferretop.pmel.noaa.gov/Ferret/)", "Veusz (https://veusz.github.io)", "netCDF (https://www.unidata.ucar.edu/software/netcdf/)"]}
DOI: 10.5281/zenodo.3550950
title: Simulation data and software scripts used in calculus of ∆36 signature from EMAC clumped O2 isotope-inclusive model

description: This publication contains simulation data and software scripts for calculating quantities related to clumped oxygen isotope signature (∆<sub>36</sub>) derivation, as described in the "static" framework of Yeung‍ et‍ al. (2016), hereinafter "Y16") and subsequently used in Yeung‍ et‍ al.‍ (2019) analysis. We provide the output of the 1950–2011 transient simulation with EMAC model with explicit "dynamic" simulation of ∆<sub>36</sub> (i.e. <sup>18</sup>O<sup>18</sup>O isotopologues undergoing transport, mixing and O(<sup>3</sup>P)-mediated isotope equilibration) to demonstrate the importance of several assumptions/simplifications involved in the static calculus. Please refer to .README.pdf for details.
description: {"references": ["NOAA PMEL Ferret (https://ferretop.pmel.noaa.gov/Ferret/)", "Veusz (https://veusz.github.io)", "netCDF (https://www.unidata.ucar.edu/software/netcdf/)"]}
DOI: 10.6084/m9.figshare.21432804.v1
title: EPOS-based Plans for Drones

description: The data is used for training and testing in EPOS-based coordination of drones in scale to complete spatio-temporal sensing tasks. The data is generated via the proposed plan generation strategy.
DOI: 10.5517/ccdc.csd.cc27pw83
title: CCDC 2076605: Experimental Crystal Structure Determination

description: Related Article: Xinyi Qi, Xu Zhang, Junjun Meng, Jingshuai Wu, Wei Cheng, Jian Huang, Wenhan Lin|2023|Eur.J.Med.Chem.|246|114948|doi:10.1016/j.ejmech.2022.114948
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.cc27pw94
title: CCDC 2076606: Experimental Crystal Structure Determination

description: Related Article: Xinyi Qi, Xu Zhang, Junjun Meng, Jingshuai Wu, Wei Cheng, Jian Huang, Wenhan Lin|2023|Eur.J.Med.Chem.|246|114948|doi:10.1016/j.ejmech.2022.114948
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.cc28bl6f
title: CCDC 2095544: Experimental Crystal Structure Determination

description: Related Article: Bo Huang, Ping Wang, Wei-Xiong Zhang, Xiao-Ming Chen|2022|Mat.Advs.|3|9103|doi:10.1039/D2MA00963C
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.cc28bl9j
title: CCDC 2095547: Experimental Crystal Structure Determination

description: Related Article: Bo Huang, Ping Wang, Wei-Xiong Zhang, Xiao-Ming Chen|2022|Mat.Advs.|3|9103|doi:10.1039/D2MA00963C
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.cc28bldm
title: CCDC 2095550: Experimental Crystal Structure Determination

description: Related Article: Bo Huang, Ping Wang, Wei-Xiong Zhang, Xiao-Ming Chen|2022|Mat.Advs.|3|9103|doi:10.1039/D2MA00963C
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.cc28bl4c
title: CCDC 2095542: Experimental Crystal Structure Determination

description: Related Article: Bo Huang, Ping Wang, Wei-Xiong Zhang, Xiao-Ming Chen|2022|Mat.Advs.|3|9103|doi:10.1039/D2MA00963C
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: 10.6084/m9.figshare.21432804.v2
title: EPOS-based Plans for Drones

description: The data is used for training and testing in EPOS-based coordination of drones in scale to complete spatio-temporal sensing tasks. The data is generated via the proposed plan generation strategy.
DOI: 10.21227/h00h-ew92
title: YouTube goes 5G: Benchmarking YouTube in 4G vs 5G

description: Fifth Generation 5G cellular network users are increasing exponentially, where 5G coverage is a challenge for global telecommunications to provide end-users with maximum Quality of Experience (QoE). 5G technology New Radio (NR) is developed  to address high bandwidth, low latency and massive connectivity requirements of enhanced Mobile Broadband (eMBB) compared to Fourth Generation (4G) Long-Term Evolution (LTE). In order to provide a 5G network while addressing compatibility with previous cellular systems, there are two 5G deployment options, Non-Standalone (NSA) and Standalone (SA).  In NSA, 5G control plane relies on a pre-existing 4G core network while SA on a dedicated 5G core network. As 5G technology evolves, its performance is expected to improve over time. Therefore, the QoE of YouTube video streaming from  Mobile Network Operators (MNOs) perspective is ideal and challenging compared to 4G/LTE networks. Evaluating mobile carriers’ end-to-end network performance in the wild is known to be difficult and complicated. Therefore, we carry out a massive 4G and 5G dataset collection campaign using commercial 4G and 5G networks, where we consider YouTube as a baseline for video streaming to collect Channel Level Metrics (CLM) and YouTube Quality of Experience (QoE) logs with 1-second granularity.
DOI: 10.6084/m9.figshare.21710891
title: study database.xlsx

description: Supplementary data for " Serological responses up to 9 months following COVID-192mRNA vaccination in residents and health-care workers of3long-term care facilities: a multicenter prospective cohortstudy4in Northern Italy. "
DOI: 10.6084/m9.figshare.21710891.v2
title: study database.xlsx

description: Supplementary data for " Serological responses up to 9 months following COVID-192mRNA vaccination in residents and health-care workers of3long-term care facilities: a multicenter prospective cohortstudy4in Northern Italy. "
DOI: 10.6084/m9.figshare.21710891.v1
title: study database.xlsx

description: Supplementary data for " Serological responses up to 9 months following COVID-192mRNA vaccination in residents and health-care workers of3long-term care facilities: a multicenter prospective cohortstudy4in Northern Italy. "
DOI: 10.5281/zenodo.7428597
title: Four-dimensional wind fields retrieved from FY4B GIIRS during 15-minute interval intensified observations from 24 to 26 June 2022

description: This dataset is the four-dimensional (time, pressure, u, v) wind fields retrieved from FY4B GIIRS observations with a 15-minute interval during a northeastern cold vortex event in China.
DOI: 10.5281/zenodo.7428596
title: Four-dimensional wind fields retrieved from FY4B GIIRS during 15-minute interval intensified observations from 24 to 26 June 2022

description: This dataset is the four-dimensional (time, pressure, u, v) wind fields retrieved from FY4B GIIRS observations with a 15-minute interval during a northeastern cold vortex event in China.
DOI: 10.6084/m9.figshare.21587142
title: Variability in maturity, oil and protein concentration, and genetic distinctness among soybean accessions conserved at Plant Gene Resources of Canada

description: These are supplemental datasets for the paper published in Plants: Fu YB, Cober ER, Morrison MJ, Marsolais F, Zhou R, Xu N, Gahagan AC, Horbach C (2022) Variability in maturity, oil and protein concentration, and genetic distinctness among soybean accessions conserved at Plant Gene Resources of Canada. Plants
DOI: 10.5281/zenodo.5105798
title: ORKG-TDM Dataset

description: The newly created TDM dataset, and best model pytorch checkpoint. <br> <br> The codebase is available here
DOI: 10.5281/zenodo.7419760
title: ORKG-TDM Dataset

description: The newly created TDM dataset, and best model pytorch checkpoint. <br> <br> The codebase is available here
DOI: 10.5281/zenodo.5105797
title: ORKG-TDM Dataset

description: The newly created TDM dataset, and best model pytorch checkpoint. <br> <br> The codebase is available here
DOI: 10.5281/zenodo.7419877
title: ORKG-TDM Dataset

description: The newly created TDM dataset, and best model pytorch checkpoint. <br> <br> The codebase is available here
DOI: 10.6084/m9.figshare.20063267
title: Caatinga_SM.zip

description: Supporting Information Data_S1 from Costa-Pinto et al. (2022). “Small Mammals from the Caatinga: A Dataset for the Brazilian Semiarid Biome.” Ecology e3879. https:// doi.org/10.1002/ecy.3879 1- Caatinga_SM_loc.csv 2- Caatinga_SM_rec.csv 3- MetadataS1.pdf
DOI: 10.15156/bio/2483935
title: Adamson K, Kütt K, Vester M, Jürimaa K, Silm M, Drenkhan R.  The mycelial growth of Inonotus obliquus in malt extract media and in different wood species
DOI: 10.6084/m9.figshare.20472292
title: Addressing climate goals and the SDGs through a just energy transition? Empirical evidence from Germany and South Africa

description: In striving to achieve the Paris Agreement and the 2030 Agenda, governments have the opportunity to implement their climate and sustainability goals more coherently. Such coherence requires the coordination of interdependent policies across different policy fields, sectors and actors. This paper explores how governments design and implement synergic solutions to concomitantly achieve both international agendas. With the empirical cases of Germany and South Africa, we investigate two independent approaches to the synergic solution of a just energy transition, whereby countries aim to phase out coal as a means to tackle climate change while also ensuring that the achievement of other Sustainable Development Goals (SDGs) is not hindered. Methodologically, we apply a deductive qualitative approach consisting of literature review, semi-structured interviews, and content analysis. To that end, we examine relevant policies and institutional arrangements by applying a combined conceptual framework of energy justice and just transition in both countries. We find major challenges in overcoming environmental, economic and social burdens of the coal phase-out, especially related to jobs and inequality (SDGs 8, 10) and the Water-Energy-Food-Land nexus (SDGs 2, 6, 7, 15). Through the selection of Germany and South Africa, we illustrate how countries with different political, social and economic backgrounds strive to manage such a transition. Our developed framework and case-studies’ findings point towards important considerations when designing just energy transition pathways, such as ensuring inclusiveness in decision-making, thoroughly assessing social, economic and environmental impacts, and adequately coordinating across different actors and the local, provincial and national levels.
DOI: 10.6084/m9.figshare.20472292.v3
title: Addressing climate goals and the SDGs through a just energy transition? Empirical evidence from Germany and South Africa

description: In striving to achieve the Paris Agreement and the 2030 Agenda, governments have the opportunity to implement their climate and sustainability goals more coherently. Such coherence requires the coordination of interdependent policies across different policy fields, sectors and actors. This paper explores how governments design and implement synergic solutions to concomitantly achieve both international agendas. With the empirical cases of Germany and South Africa, we investigate two independent approaches to the synergic solution of a just energy transition, whereby countries aim to phase out coal as a means to tackle climate change while also ensuring that the achievement of other Sustainable Development Goals (SDGs) is not hindered. Methodologically, we apply a deductive qualitative approach consisting of literature review, semi-structured interviews, and content analysis. To that end, we examine relevant policies and institutional arrangements by applying a combined conceptual framework of energy justice and just transition in both countries. We find major challenges in overcoming environmental, economic and social burdens of the coal phase-out, especially related to jobs and inequality (SDGs 8, 10) and the Water-Energy-Food-Land nexus (SDGs 2, 6, 7, 15). Through the selection of Germany and South Africa, we illustrate how countries with different political, social and economic backgrounds strive to manage such a transition. Our developed framework and case-studies’ findings point towards important considerations when designing just energy transition pathways, such as ensuring inclusiveness in decision-making, thoroughly assessing social, economic and environmental impacts, and adequately coordinating across different actors and the local, provincial and national levels.
DOI: 10.6084/m9.figshare.19410154
title: Co-production of climate change vulnerability assessment : A case study of the Indian Lesser Himalayan region, Darjeeling

description: The intensity and extent of climate change impacts differ significantly with the geographical and ecological structure of the landscape. This is especially evident in mountain ecosystems where topographic, climatic and biological gradients make them extremely vulnerable to global environmental changes . Designing strategies to mitigate and adapt to global climate change on such local landscapes requires a context-specific vulnerabilities that take into account their particular characteristics. Presently, there are two main challenges in assessing climate change vulnerability in mountain ecosystems: 1) The models that are used for vulnerability assessments at global scales are being used at local scales with broad variables from few sectors that do not capture the range of characteristics of mountain ecosystems 2) indigenous knowledge about climate change are not considered in these models, which makes the implementation of mitigation/adaptation measures less successful. In this study, we highlight these issues drawing from our data collected in India’s Lesser Himalayan region (Darjeeling). We used a mixed research approach that combines a vulnerability assessment model with a participatory knowledge approach. We based climate change vulnerability around the socio-ecological system of the mountain landscape. The results from the interactive process showed that Darjeeling region is experiencing higher climate change vulnerability than the results produced by the model at the subregional level. We highlight critical variables that influence the socio-ecological system and need to be taken into account when assessing vulnerability and future adaptation scenarios. The study offers a decision support process for policymakers to plan climate mitigation/adaptation measures and future sustainability pathways.