cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5571925
title: A Bi-atrial Statistical Shape Model and 100 Volumetric Anatomical Models of the Atria

description: This dataset is part of the publication "A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations" by Nagel et al. (https://doi.org/10.1016/j.media.2021.102210). It includes a bi-atrial statistical shape model built based on 47 MR and CT images (Left atrium segmentation challenge (Tobon-Gomez, 2015), Left atrium fibrosis and scar segmentation challenge (Karim, 2013), Left atrial wall thickness challenge (Karim, 2018)). ScalismoLab (https://scalismo.org) was used for parts of the model generation. Further Details are explained in the paper. The SSM is available as an h5 file including information about the mean shape's vertex locations and their triangulation as well as the eigenvectors and -values. 100 random instances derived from the model are available. Each zip file contains the volumetric bi-atrial geometry as vtk file, which was augmented in a post-processing step with a homogeneous wall thickness, fiber orientation, intra-atrial bridges and material tags so that they are ready to use for electrophysiological simulations of atrial signals. Furthermore, the scalar field resulting from computing the gradient of the Laplace equation with the boundary conditions described by Piersanti et al. (Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations, Computer Methods in Applied Mechanics and Engineering, 2020, https://doi.org/10.1016/j.cma.2020.113468) are available on the left and the right atrial instances. Furthermore, 95 geometries with uniformly distributed left atrial volumes are available in LAE_geometries.zip.
description: {"references": ["Nagel et al. (2021), A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations"]}
DOI: 10.5281/zenodo.4309957
title: A Bi-atrial Statistical Shape Model and 100 Volumetric Anatomical Models of the Atria

description: This dataset is part of the publication "A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations" by Nagel et al. (https://doi.org/10.1016/j.media.2021.102210). It includes a bi-atrial statistical shape model built based on 47 MR and CT images (Left atrium segmentation challenge (Tobon-Gomez, 2015), Left atrium fibrosis and scar segmentation challenge (Karim, 2013), Left atrial wall thickness challenge (Karim, 2018)). ScalismoLab (https://scalismo.org) was used for parts of the model generation. Further Details are explained in the paper. The SSM is available as an h5 file including information about the mean shape's vertex locations and their triangulation as well as the eigenvectors and -values. 100 random instances derived from the model are available. Each zip file contains the volumetric bi-atrial geometry as vtk file, which was augmented in a post-processing step with a homogeneous wall thickness, fiber orientation, intra-atrial bridges and material tags so that they are ready to use for electrophysiological simulations of atrial signals. Furthermore, the scalar field resulting from computing the gradient of the Laplace equation with the boundary conditions described by Piersanti et al. (Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations, Computer Methods in Applied Mechanics and Engineering, 2020, https://doi.org/10.1016/j.cma.2020.113468) are available on the left and the right atrial instances. Furthermore, 95 geometries with uniformly distributed left atrial volumes are available in LAE_geometries.zip.
description: {"references": ["Nagel et al. (2021), A bi-atrial statistical shape model for large-scale in silico studies of human atria: Model development and application to ECG simulations"]}
DOI: 10.15468/9ffb8j
title: Ophiopogon elatior, a new species of Asparagaceae from Yunnan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lin, Qin-Wen, Le, Chi-Toan, Yu, Zhi-Yong, Sun, Guo-Feng, Liu, Bing (2021): Ophiopogon elatior, a new species of Asparagaceae from Yunnan, China. Phytotaxa 525 (1): 46-50, DOI: 10.11646/phytotaxa.525.1.5
DOI: 10.6084/m9.figshare.16943818.v1
title: Data&ScriptsFigure4

description: Data and scripts to generate Figure 4<br>
DOI: 10.12751/g-node.76bq1r
title: High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study

description: MEG Data used in: High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study (PLOS One, accepted)
description: IsSupplementTo: Dreyer, AM & Rieger, JW High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study. PLOS One. (accepted)
DOI: 10.15468/b8umjs
title: Lysimachia xuyongensis (Primulaceae), a new species from Sichuan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ju, Wen-Bin, Deng, Heng-Ning, Xu, Bo, He, Xing-Jin, Gao, Xin-Fen (2021): Lysimachia xuyongensis (Primulaceae), a new species from Sichuan, China. Phytotaxa 525 (1): 59-64, DOI: 10.11646/phytotaxa.525.1.7
DOI: 10.5445/ir/1000139656
title: Companion Material for the PhD thesis "Formal Specification and Verification for Automated Production Systems"

description: This archive contains the evaluation for "Formal Specification and Verification for Automated Production Systems". In particular, you find evaluation environments for Chapter 7 (Evaluation (PART I - Generalized Test Tables)), 10 (Relational Test Tables), 11 (Provably Forgetting of Information), and 12 (Modular Regression Verification). For more details, refer to the READMEs of the individual sub-folders.
DOI: 10.5281/zenodo.5674370
title: Data assimilation products by using multiple climate model simulations and different combinations of proxies

description: This dataset of the climate reconstruction by data assimilation using isotope ratios provides annual surface air temperature, precipitation amount, and other climate variables during 850–2000. Two isotopes-incorporated atmospheric general circulation models and 129 isotopic proxy data (65 corals, 43 ice cores, and 21 tree-ring cellulose) were used in this study. There are nine experiments using three type of simulations and three combinations of proxies. The associated publication: Shoji, S., Okazaki, A., & Yoshimura, K. (2020). Impact of proxies and prior estimates on data assimilation using isotope ratios for the climate reconstruction of the last millennium. (submitted to Earth and Space Science) [Data structure]<br> X(lon) x Y(lat) x Z(2) x Variables(8) x Year(1151)<br> Z(1): analyses<br> Z(2): priors
DOI: 10.18112/openneuro.ds003612.v1.0.1
title: The impact of handedness on the neural correlates during kinesthetic motor imagery: a FMRI study
DOI: 10.5281/zenodo.5674567
title: Data assimilation products by using multiple climate model simulations and different combinations of proxies

description: This dataset of the climate reconstruction by data assimilation using isotope ratios provides annual surface air temperature, precipitation amount, and other climate variables during 850–2000. Two isotopes-incorporated atmospheric general circulation models and 129 isotopic proxy data (65 corals, 43 ice cores, and 21 tree-ring cellulose) were used in this study. There are nine experiments using three type of simulations and three combinations of proxies. The associated publication: Shoji, S., Okazaki, A., & Yoshimura, K. (2020). Impact of proxies and prior estimates on data assimilation using isotope ratios for the climate reconstruction of the last millennium. (submitted to Earth and Space Science) [Data structure]<br> X(lon) x Y(lat) x Z(2) x Variables(8) x Year(1151)<br> Z(1): analyses<br> Z(2): priors
DOI: 10.21227/be9s-r155
title: Situs Togel Online Terpercaya

description: ok
DOI: 10.23729/a1ddeb35-9701-4657-875d-ff4397fc65c1
title: CircVol field day 30 preview

description: Day 30 scans of the field samples of CircVol. Collective CircVol entry: https://doi.org/10.23729/f9ce14e4-a657-471e-b755-37ff4b902b3f Preview of PAS-dataset https://doi.org/10.23729/3b0c51b2-3b27-4009-aae7-75690030f132
DOI: 10.6084/m9.figshare.16988065.v1
title: Data of Kinematic analysis and motion planning simulation of cooperative robot

description: Data of Kinematic analysis and motion planning simulation of cooperative robot
DOI: 10.6084/m9.figshare.16988065
title: Data of Kinematic analysis and motion planning simulation of cooperative robot

description: Data of Kinematic analysis and motion planning simulation of cooperative robot
DOI: 10.18112/openneuro.ds003612.v1.0.2
title: The impact of handedness on the neural correlates during kinesthetic motor imagery: a FMRI study
DOI: 10.5281/zenodo.5674590
title: Verificación de frecuencia de uso de palabras en periódicos españoles

description: Datos para comprobar las métricas de uso de frecuencia de palabras en periódicos españoles
DOI: 10.5281/zenodo.5661548
title: Verificación de frecuencia de uso de palabras en periódicos españoles

description: Datos para comprobar las métricas de uso de frecuencia de palabras en periódicos españoles
DOI: 10.5281/zenodo.5674601
title: ADR Manager: Improving the Documentation and Management of Architectural Decisions

description: This repository contains all artifacts related to the empirical evaluation of the ADR Manager, a web-based application for creating and managing architectural decision records (ADRs). See the README.md for more details on the different artifacts.
DOI: 10.5281/zenodo.5654674
title: ADR Manager: Improving the Documentation and Management of Architectural Decisions

description: This repository contains all artifacts related to the empirical evaluation of the ADR Manager, a web-based application for creating and managing architectural decision records (ADRs). See the README.md for more details on the different artifacts.
DOI: 10.5281/zenodo.5666988
title: Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways: supporting data

description: This provides supporting data for the paper, <em><strong>Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways</strong></em>, published in <em>One Earth</em>. The full paper can be accessed at the following DOI: https://doi.org/10.1016/j.oneear.2021.10.024, published on the 19th November 2021.
DOI: 10.5281/zenodo.5521117
title: Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways: supporting data

description: This provides supporting data for the paper, <em><strong>Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways</strong></em>, published in <em>One Earth</em>. The full paper can be accessed at the following DOI: https://doi.org/10.1016/j.oneear.2021.10.024, published on the 19th November 2021.
DOI: 10.34740/kaggle/dsv/2798699
title: AutoXGB
DOI: 10.5281/zenodo.5512064
title: Long Time-Series Glacier Outlines in the Three-Rivers Headwater Region from 1986 to 2021 Based on Deep Learning

description: The glacier outlines in the Three-Rivers Headwater Region from 1986–2021 in a total of 12 periods were obtained based on Landsat-5 and 8 images using the M-LandsNet and through manual adjustments. The comparison with previous research results indicated that this dataset has high accuracy. This dataset can provide support for the study of the glaciers mass balance in the Three-Rivers Headwater Region.
DOI: 10.5281/zenodo.5512063
title: Long Time-Series Glacier Outlines in the Three-Rivers Headwater Region from 1986 to 2021 Based on Deep Learning

description: The glacier outlines in the Three-Rivers Headwater Region from 1986–2021 in a total of 12 periods were obtained based on Landsat-5 and 8 images using the M-LandsNet and through manual adjustments. The comparison with previous research results indicated that this dataset has high accuracy. This dataset can provide support for the study of the glaciers mass balance in the Three-Rivers Headwater Region.
DOI: 10.6084/m9.figshare.16988083
title: Code and Data.zip

description: Code and sample data used in the manuscript
DOI: 10.5281/zenodo.5654572
title: SessDroid dataset

description: The dataset of SessDroid
DOI: 10.6084/m9.figshare.16988083.v1
title: Code and Data.zip

description: Code and sample data used in the manuscript
DOI: 10.5281/zenodo.5592177
title: SessDroid dataset

description: The dataset of SessDroid
DOI: 10.34740/kaggle/dsv/2798697
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.5658990
title: Dataset for journal article: Nava et al. (2021) "Microalgae colonization of different microplastic polymers in experimental mesocosms across an environmental gradient"

description: Dataset and R script for the article "Microalgae colonization of different microplastic polymers in experimental mesocosms across an environmental gradient" by Nava V., Matias M., Castillo-Escrivà A., Messyasz B. and Leoni B. accepted by Global Change Biology.
DOI: 10.15129/e44a6220-f185-4f44-856f-9d47ea4b85f0
title: Data for "Wave energy extraction for an array of dual-OWSC (oscillating wave surge converter) with different layouts"

description: This dataset includes the original data for each figure of the article.
DOI: 10.34740/kaggle/dsv/2798780
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.5281/zenodo.5674691
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.6084/m9.figshare.16988148.v1
title: Primary data of the manuscript from Dormant plasticity of rotifer diapausing eggs in response to predator kairomones

description: In freshwater ecosystems, hatching strategy of diapausing eggs (DEs) under predation risk has important ecological implication for zooplankters. Although kairomones released by predators can induce phenotypic responses of prey, hatching patterns of DEs in response to kairomones have received contradictory conclusions in zooplankters. Maternal environment may also affect hatching strategy of DEs during predator–prey interactions. We used classical <i>Brachionus calyciflorus</i>–<i>Asplanchna</i> models to determine the timing and proportion of diapausing-egg hatching in association with parental and embryonic exposure to kairomones. Results obtained from two <i>Brachionus</i> clones supported the hypothesis that DEs could detect <i>Asplanchna</i> kairomones and adjust hatching patterns. DEs showed early and synchronous hatching patterns in the environment with kairomones. Data also supported the prediction that DEs could gain information about predators from maternal environments and adjusted their hatching pattern in response to the presence of kairomones. Compared with DEs from <i>Brachionus</i> mothers not exposed to kairomones, DEs produced by mothers experienced kairomones attained a higher hatching rate when both of them hatched in the environment either with kairomones or not. Our results suggest that DEs of <i>B</i>. <i>calyciflorus</i> possess dormant plasticity to defend against predation from <i>Asplanchna</i>, which may be regulated by maternal environmental effects during sexual life cycles.
DOI: 10.6084/m9.figshare.16988148
title: Primary data of the manuscript from Dormant plasticity of rotifer diapausing eggs in response to predator kairomones

description: In freshwater ecosystems, hatching strategy of diapausing eggs (DEs) under predation risk has important ecological implication for zooplankters. Although kairomones released by predators can induce phenotypic responses of prey, hatching patterns of DEs in response to kairomones have received contradictory conclusions in zooplankters. Maternal environment may also affect hatching strategy of DEs during predator–prey interactions. We used classical <i>Brachionus calyciflorus</i>–<i>Asplanchna</i> models to determine the timing and proportion of diapausing-egg hatching in association with parental and embryonic exposure to kairomones. Results obtained from two <i>Brachionus</i> clones supported the hypothesis that DEs could detect <i>Asplanchna</i> kairomones and adjust hatching patterns. DEs showed early and synchronous hatching patterns in the environment with kairomones. Data also supported the prediction that DEs could gain information about predators from maternal environments and adjusted their hatching pattern in response to the presence of kairomones. Compared with DEs from <i>Brachionus</i> mothers not exposed to kairomones, DEs produced by mothers experienced kairomones attained a higher hatching rate when both of them hatched in the environment either with kairomones or not. Our results suggest that DEs of <i>B</i>. <i>calyciflorus</i> possess dormant plasticity to defend against predation from <i>Asplanchna</i>, which may be regulated by maternal environmental effects during sexual life cycles.
DOI: 10.5281/zenodo.5674697
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.5281/zenodo.5503569
title: Small dose of monochloramine increases nitrite formation

description: Research data
DOI: 10.5281/zenodo.5503568
title: Small dose of monochloramine increases nitrite formation

description: Research data
DOI: 10.5281/zenodo.5674717
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.5281/zenodo.5674726
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.5281/zenodo.5666244
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.6084/m9.figshare.16803043
title: Supplementary Data 1 - Gao & Ludlow - 28 Aug 2021.xlsx

description: Compilation of dynastic collapse dates. (For further information, please see Supplementary Data 1 in the publication "Volcanic climate impacts can act as ultimate and proximate causes of Chinese dynastic collapse". DOI included below.)
DOI: 10.5281/zenodo.5657200
title: Data for the publication "Impact of Enzymatic Degradation on the Material Properties of Poly(ethylene terephthalate)"

description: <strong>Background</strong> The data set contains raw data of fatigue crack propagation resistance measurements (da/dN), differential scanning calorimetry (DSC), atomic-force microscopy (AFM), and ultra-high performance liquid chromatography (UHPLC) of PET samples incubated with PETase. The experiments were done in the laboratory at the Department of Polymer Engineering and Department of Biochemistry, University of Bayreuth, Germany in 2020 and 2021. The data set was analysed in the publication: Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885 <strong>Disclaimer</strong> The data are provided without any warranty. Details on the experimental setup are given in the publication. <strong>References</strong> Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885
description: This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foun-dation) — project number 391977956–SFB 1357 Microplastics, subproject B01, C01, and C03.
DOI: 10.5281/zenodo.5657199
title: Data for the publication "Impact of Enzymatic Degradation on the Material Properties of Poly(ethylene terephthalate)"

description: <strong>Background</strong> The data set contains raw data of fatigue crack propagation resistance measurements (da/dN), differential scanning calorimetry (DSC), atomic-force microscopy (AFM), and ultra-high performance liquid chromatography (UHPLC) of PET samples incubated with PETase. The experiments were done in the laboratory at the Department of Polymer Engineering and Department of Biochemistry, University of Bayreuth, Germany in 2020 and 2021. The data set was analysed in the publication: Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885 <strong>Disclaimer</strong> The data are provided without any warranty. Details on the experimental setup are given in the publication. <strong>References</strong> Menzel, T.; Weigert, S.; Gagsteiger, A.; Eich, Y.; Sittl, S.; Papastavrou, G.; Ruckdäschel, H.; Altstädt, V.; Höcker, B. Impact of Enzymatic Degradation on the Material Properties of Poly(Ethylene Terephthalate). <em>Polymers</em> <strong>2021</strong>, 13(22), 3885. https://doi.org/10.3390/polym13223885
description: This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foun-dation) — project number 391977956–SFB 1357 Microplastics, subproject B01, C01, and C03.
DOI: 10.5281/zenodo.5674736
title: Raw Data analyzed in the Paper "Computational analyses of YY1 and its target RKIP reveal their diagnostic and prognostic roles in lung cancer"

description: The Excel file contains all the Raw Data analyzed in the Paper entitled "Computational analyses of YY1 and its target RKIP reveal their diagnostic and prognostic roles in lung cancer" under submission in Cancers Journal.
DOI: 10.5281/zenodo.5674735
title: Raw Data analyzed in the Paper "Computational analyses of YY1 and its target RKIP reveal their diagnostic and prognostic roles in lung cancer"

description: The Excel file contains all the Raw Data analyzed in the Paper entitled "Computational analyses of YY1 and its target RKIP reveal their diagnostic and prognostic roles in lung cancer" under submission in Cancers Journal.
DOI: 10.6084/m9.figshare.16954903
title: Online Appendix

description: Detailed overview of the interviewees
DOI: 10.6084/m9.figshare.16954903.v1
title: Online Appendix

description: Detailed overview of the interviewees
DOI: 10.5258/soton/d1033
title: Data set for: High-resolution nuclear magnetic resonance spectroscopy in microfluidic droplets

description: Dataset supports: Hale, W., Rossetto, G., Greenhalgh, R., Finch, G., & Utz, M. (2018). High-resolution nuclear magnetic resonance spectroscopy in microfluidic droplets. Lab on a Chip, 2018(19), 3018-3024. DOI: 10.1039/C8LC00712H
DOI: 10.6084/m9.figshare.16988222.v1
title: Experiment data from A chronology of subterranean clover burr detachment mechanics and implications for seed harvestability

description: Burr retention strength, peduncle strength and burr moisture content data collected in this study