cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6959403
title: Geochemical and isotopic analyses of a ~14 000 year old sediment core collected from Lake Simcoe, Canada

description: This dataset contains measurements of modern water and ancient core materials from Lake Simcoe, the fourth largest lake wholly in Ontario, Canada. These data consist of: <em>(i)</em> oxygen, hydrogen and carbon isotope (<em>δ</em><sup>18</sup>O, <em>δ</em><sup>2</sup>H and <em>δ</em><sup>13</sup>C) compositions for modern water samples; <em>(ii)</em> physical measurements of one piston core, PC-5; <em>(iii) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ostracods collected from PC-5, and <em>(iv) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ancient DIC and water, respectively, inferred from item <em>(iii)</em>. Physical measurements performed on core PC-5 include magnetic susceptibility, mineralogy and grain size. Mass accumulation rates are also reported.
DOI: 10.5281/zenodo.6959402
title: Geochemical and isotopic analyses of a ~14 000 year old sediment core collected from Lake Simcoe, Canada

description: This dataset contains measurements of modern water and ancient core materials from Lake Simcoe, the fourth largest lake wholly in Ontario, Canada. These data consist of: <em>(i)</em> oxygen, hydrogen and carbon isotope (<em>δ</em><sup>18</sup>O, <em>δ</em><sup>2</sup>H and <em>δ</em><sup>13</sup>C) compositions for modern water samples; <em>(ii)</em> physical measurements of one piston core, PC-5; <em>(iii) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ostracods collected from PC-5, and <em>(iv) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ancient DIC and water, respectively, inferred from item <em>(iii)</em>. Physical measurements performed on core PC-5 include magnetic susceptibility, mineralogy and grain size. Mass accumulation rates are also reported.
DOI: 10.6092/unibo/amsacta/6979
title: Data - Effect of Suboptimal Neuromuscular Control on the Risk of Massive Wear in Total Knee Replacement

description: The dataset contains the results of the musculoskeletal simulations in OpenSim (i.e., knee joint contact forces - JCFs), which were provided as input to the FE analyses, and the results of the wear simulations in Ansys. More specifically, the file named OpenSim_Results_JCFs.csv contains the predicted total knee joint contact forces, for each of the six walking trials and the three conditions (i.e., JCFact, JCFmet and JCFmax) analyzed, while the file Ansys_Results_WearSimulations.csv reports (1) the maximal contact pressure (on the medial and lateral compartments), (2) the contact area and the volume lost (on the medial and lateral compartments, separately and in total) and (3) the maximal wear depth. NOTE: the raw experimental data used in this work to develop the models and run the simulations in OpenSim are part of the 6th Grand Challenge competition dataset, which is publicly available on the SimTK platform (https://simtk.org/frs/?group_id=413).
DOI: 10.5281/zenodo.6959362
title: Music Style Transfer datasets

description: A collection of MIDI datasets used in my MSc project: Evaluating Music Style Tranfer methods (link TBD).
description: {"references": ["Lu, C. and Dubnov, S. (2021) 'ChordGAN: Symbolic Music Style Transfer with Chroma Feature Extraction'.", "Mckay, C. and Fujinaga (2005) 'The Bodhidharma system and the results of the MIREX 2005', Proc. ISMIR, (McKay 2004), pp. 1\u20134.", "Brunner, G. et al. (2018) 'Symbolic music genre transfer with CycleGAN', in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 786\u2013793. doi: 10.1109/ICTAI.2018.00123."]}
DOI: 10.5281/zenodo.6959361
title: Music Style Transfer datasets

description: A collection of MIDI datasets used in my MSc project: Evaluating Music Style Tranfer methods (link TBD).
description: {"references": ["Lu, C. and Dubnov, S. (2021) 'ChordGAN: Symbolic Music Style Transfer with Chroma Feature Extraction'.", "Mckay, C. and Fujinaga (2005) 'The Bodhidharma system and the results of the MIREX 2005', Proc. ISMIR, (McKay 2004), pp. 1\u20134.", "Brunner, G. et al. (2018) 'Symbolic music genre transfer with CycleGAN', in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, pp. 786\u2013793. doi: 10.1109/ICTAI.2018.00123."]}
DOI: 10.5517/ccdc.csd.cc28btzf
title: CCDC 2095785: Experimental Crystal Structure Determination

description: Related Article: Yang Zhou, Hang Chen, Panpan Lei, Chunming Gui, Haifeng Wang, Qiongjiao Yan, Wei Wang, Fener Chen|2022|Chin.Chem.Lett.|33|4850|doi:10.1016/j.cclet.2022.02.029
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.cc2bvn73
title: CCDC 2170565: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara Storer, Christopher A. Hunter|2022|Phys.Chem.Chem.Phys.(PCCP)|24|18124|doi:10.1039/D2CP03004G
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.cc2bvn84
title: CCDC 2170566: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara Storer, Christopher A. Hunter|2022|Phys.Chem.Chem.Phys.(PCCP)|24|18124|doi:10.1039/D2CP03004G
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.6959322
title: Pandemic impacts on Software Engineering: A Multivocal Literature Review

description: Pandemic impacts on Software Engineering: A Multivocal Literature Review - data set
DOI: 10.5281/zenodo.6959321
title: Pandemic impacts on Software Engineering: A Multivocal Literature Review

description: Pandemic impacts on Software Engineering: A Multivocal Literature Review - data set
DOI: 10.18430/m38dop
title: X-ray diffraction data for the crystal structure of 2,3-diketo-5-methylthiopentyl-1-phosphate enolase-phosphatase from Klebsiella aerogenes (P1 Form) (8DOP)
DOI: 10.18430/m38doq
title: X-ray diffraction data for the crystal structure of 2,3-diketo-5-methylthiopentyl-1-phosphate enolase-phosphatase from Klebsiella aerogenes (P21 Form) (8DOQ)
DOI: 10.18430/m38dqb
title: X-ray diffraction data for the crystal structure of 3-dehydroquinate dehydratase I from Klebsiella oxytoca (I23 Form) (8DQB)
DOI: 10.18430/m38dq9
title: X-ray diffraction data for the crystal structure of GDP bound 3-dehydroquinate dehydratase I from Klebsiella oxytoca (8DQ9)
DOI: 10.18430/m38dos
title: X-ray diffraction data for the crystal structure of Ferredoxin (flavodoxin):NADP(+) oxidoreductase from Klebsiella pneumoniae (8DOS)
DOI: 10.18430/m38dor
title: X-ray diffraction data for the crystal structure of Dihydropteridine reductase/oxygen-insensitive NAD(P)H nitroreductase from Klebsiella pneumoniae (8DOR)
DOI: 10.6084/m9.figshare.13302556.v1
title: A Stochastic Volatility Model with a General Leverage Specification

description: We introduce a new Stochastic Volatility model that postulates a general correlation structure between the shocks of the measurement and log volatility equations at different temporal lags. The resulting specification is able to better characterize the leverage effect and propagation in financial time series. Furthermore, it nests other asymmetric volatility models and can be used for testing and diagnostics. We derive the SML and QML estimators and investigate their finite sample performance in a simulation study. An empirical illustration shows that the postulated correlation structure improves the fit of the leverage propagation and leads to more precise volatility predictions.
DOI: 10.5281/zenodo.6959376
title: Dysglycemias in patients admitted to ICUs with severe acute respiratory syndrome due to COVID-19 versus other causes – A cohort study - Dataset

description: Dataset of a cohort whose summary is described below. Abstract Importance: Dysglycemias have been associated with worse prognosis in critically ill patients with or without diabetes, but data on their association with severe COVID-19 and outcomes are lacking. Objectives: To analyze the relationship of dysglycemias with COVID-19 in hospitalized patients with severe acute respiratory syndrome (SARS) and assess the influence of dysglycemias on mortality. Design, Setting and Participants: Cohort of consecutive patients with SARS and suspected COVID-19 hospitalized in intensive care units (ICUs) across eight hospitals in Curitiba-Brazil. Main Outcomes and Measures: The primary outcome was the influence of COVID-19 on the variation of the following parameters of dysglycemia: highest glucose level at admission, mean and highest glucose levels during ICU stay, mean glucose variation, and percentage of days with hyperglycemia. The secondary outcome was the influence of COVID-19 and each of the five parameters of dysglycemia on hospital mortality within 30 days from ICU admission. Results: We compared 703 patients with COVID-19 and 138 without COVID-19 admitted to the ICUs due to SARS. Compared with patients without COVID-19, those with COVID-19 had significantly higher glucose peaks at admission (198.1mg/dL vs. 167.8mg/dL, respectively) and during ICU stay (285.9mg/Dl vs. 230.9md/dL), higher mean daily glucose values (167.9mg/dL vs. 149.8mg/dL), higher percentage of days with hyperglycemia during ICU stay (vs. 45.0 vs. 31.5), and greater mean daily glucose variations (85.3mg/dL vs. 63.5mg/dL). However, these associations were lost after adjustment for APACHE II scores, SOFA scores, CRP level, corticosteroid use and nosocomial infection. Dysglycemia and COVID-19 were each independent risk factors for mortality. Conclusions and Relevance: Patients with SARS due to COVID-19 had higher mortality and more frequent dysglycemia than patients with SARS due to other causes. This association seemed to be related to disease severity and inflammation and was independent of corticosteroid use, suggesting no specific relationship with the SARS-CoV-2 infection.
DOI: 10.5281/zenodo.6959375
title: Dysglycemias in patients admitted to ICUs with severe acute respiratory syndrome due to COVID-19 versus other causes – A cohort study - Dataset

description: Dataset of a cohort whose summary is described below. Abstract Importance: Dysglycemias have been associated with worse prognosis in critically ill patients with or without diabetes, but data on their association with severe COVID-19 and outcomes are lacking. Objectives: To analyze the relationship of dysglycemias with COVID-19 in hospitalized patients with severe acute respiratory syndrome (SARS) and assess the influence of dysglycemias on mortality. Design, Setting and Participants: Cohort of consecutive patients with SARS and suspected COVID-19 hospitalized in intensive care units (ICUs) across eight hospitals in Curitiba-Brazil. Main Outcomes and Measures: The primary outcome was the influence of COVID-19 on the variation of the following parameters of dysglycemia: highest glucose level at admission, mean and highest glucose levels during ICU stay, mean glucose variation, and percentage of days with hyperglycemia. The secondary outcome was the influence of COVID-19 and each of the five parameters of dysglycemia on hospital mortality within 30 days from ICU admission. Results: We compared 703 patients with COVID-19 and 138 without COVID-19 admitted to the ICUs due to SARS. Compared with patients without COVID-19, those with COVID-19 had significantly higher glucose peaks at admission (198.1mg/dL vs. 167.8mg/dL, respectively) and during ICU stay (285.9mg/Dl vs. 230.9md/dL), higher mean daily glucose values (167.9mg/dL vs. 149.8mg/dL), higher percentage of days with hyperglycemia during ICU stay (vs. 45.0 vs. 31.5), and greater mean daily glucose variations (85.3mg/dL vs. 63.5mg/dL). However, these associations were lost after adjustment for APACHE II scores, SOFA scores, CRP level, corticosteroid use and nosocomial infection. Dysglycemia and COVID-19 were each independent risk factors for mortality. Conclusions and Relevance: Patients with SARS due to COVID-19 had higher mortality and more frequent dysglycemia than patients with SARS due to other causes. This association seemed to be related to disease severity and inflammation and was independent of corticosteroid use, suggesting no specific relationship with the SARS-CoV-2 infection.
DOI: 10.6084/m9.figshare.20426067
title: Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales

description: We develop a high-dimensional graphical modeling approach for functional data where the number of functions exceeds the available sample size. This is accomplished by proposing a sparse estimator for a concentration matrix when identifying linear manifolds. As such, the procedure extends the ideas of the manifold representation for functional data to high-dimensional settings where the number of functions is larger than the sample size. By working in a penalized setting it enriches the functional data framework by estimating sparse undirected graphs that show how functional nodes connect to other functional nodes. The procedure allows multiple coarseness scales to be present in the data and proposes a simultaneous estimation of several related graphs. Its performance is illustrated using a real-life fMRI dataset and with simulated data.
DOI: 10.6084/m9.figshare.20426067.v1
title: Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales

description: We develop a high-dimensional graphical modeling approach for functional data where the number of functions exceeds the available sample size. This is accomplished by proposing a sparse estimator for a concentration matrix when identifying linear manifolds. As such, the procedure extends the ideas of the manifold representation for functional data to high-dimensional settings where the number of functions is larger than the sample size. By working in a penalized setting it enriches the functional data framework by estimating sparse undirected graphs that show how functional nodes connect to other functional nodes. The procedure allows multiple coarseness scales to be present in the data and proposes a simultaneous estimation of several related graphs. Its performance is illustrated using a real-life fMRI dataset and with simulated data.
DOI: 10.34740/kaggle/dsv/4025649
title: Elon Musk Tweets
DOI: 10.5281/zenodo.6608773
title: From 20,000 years ago to near present climate classification of North America

description: For North America and most of Central America during 20, 14, 13, 11, 10, 7, 5, and 1 thousand years ago (ka) and recent years, I applied a Köppen-Trewartha classification system. I slightly modified the system by keeping the thermal classes for the dry classes, subdividing boreal and polar classes based on an ecological threshold of the number of months at 5 °C, and condensing the number of rare subclasses. Climate data were from: Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016a. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100 AD. <em>Scientific Data</em>, 3, 1-19. Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016b. Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD. Dryad Dataset. Available at https://doi.org/10.5061/dryad.1597g [last accessed 01 December 2020].
description: {"references": ["Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016b. Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD. Dryad Dataset. Available at https://doi.org/10.5061/dryad.1597g", "Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016a. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100 AD. Scientific Data, 3, 1-19.", "He, F, Shakun, JD, Clark, PU, Carlson, AE, Liu, Z, Otto-Bliesner, BL and Kutzbach, JE. 2013. Northern Hemisphere forcing of Southern Hemisphere climate during the last deglaciation. Nature, 494: 81-85.", "Hanberry, B. B. From 20,000 years ago to near present climate classification of North America. Open Quaternary 8:11."]}
DOI: 10.5281/zenodo.6608772
title: From 20,000 years ago to near present climate classification of North America

description: For North America and most of Central America during 20, 14, 13, 11, 10, 7, 5, and 1 thousand years ago (ka) and recent years, I applied a Köppen-Trewartha classification system. I slightly modified the system by keeping the thermal classes for the dry classes, subdividing boreal and polar classes based on an ecological threshold of the number of months at 5 °C, and condensing the number of rare subclasses. Climate data were from: Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016a. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100 AD. <em>Scientific Data</em>, 3, 1-19. Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016b. Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD. Dryad Dataset. Available at https://doi.org/10.5061/dryad.1597g [last accessed 01 December 2020].
description: {"references": ["Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016b. Data from: Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD. Dryad Dataset. Available at https://doi.org/10.5061/dryad.1597g", "Lorenz, DJ, Nieto-Lugilde, D, Blois, JL, Fitzpatrick, MC and Williams, JW. 2016a. Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100 AD. Scientific Data, 3, 1-19.", "He, F, Shakun, JD, Clark, PU, Carlson, AE, Liu, Z, Otto-Bliesner, BL and Kutzbach, JE. 2013. Northern Hemisphere forcing of Southern Hemisphere climate during the last deglaciation. Nature, 494: 81-85.", "Hanberry, B. B. From 20,000 years ago to near present climate classification of North America. Open Quaternary 8:11."]}
DOI: 10.6084/m9.figshare.20427696
title: Nature-inspired search method and custom waste object detec-tion and classification model for smart waste bin

description: This is training dataset for YOLO
DOI: 10.6084/m9.figshare.20427696.v1
title: TrainingImages.zip

description: This is training dataset for YOLO
DOI: 10.6084/m9.figshare.20427777.v1
title: DatasetS1.zip

description: Source files of Figures 6-10
DOI: 10.6084/m9.figshare.20427777
title: DatasetS1.zip

description: Source files of Figures 6-10
DOI: 10.6084/m9.figshare.20405469.v1
title: Content Analysis of Course Strengths 2019

description: Thematic content analiysis of student evaluation comments in 2019.
DOI: 10.6084/m9.figshare.20405469
title: Content Analysis of Course Strengths 2019

description: Thematic content analiysis of student evaluation comments in 2019.
DOI: 10.6084/m9.figshare.20405475
title: Content Analysis of Course Weaknesses 2019

description: Thematic content analysis of student evaluation comments for course weaknesses 2019.
DOI: 10.6084/m9.figshare.20405475.v2
title: Content Analysis of Course Weaknesses 2019

description: Thematic content analysis of student evaluation comments for course weaknesses 2019.
DOI: 10.6084/m9.figshare.20405475.v1
title: Content Analysis of Course Weaknesses 2019

description: Thematic content analysis of student evaluation comments for course weaknesses 2019.
DOI: 10.6084/m9.figshare.20405481
title: Content Analysis of Student Reflections 2019

description: Thematic content analysis of student reflections 2019.
DOI: 10.6084/m9.figshare.20425425
title: Data files

description: Germination, seedling, and adult offspring traits are shown here. Please refer to the readme file for a description of the experiment and coding for treatments.
DOI: 10.5281/zenodo.6959510
title: Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"

description: Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition", which will be published in Open Research Europe
DOI: 10.5281/zenodo.6959606
title: Observed and Predicted Bulk Sediment Uranium Isotope Composition (δ234U) for ODP 1094 Over the Last 500 kyr

description: This is supplementary data associated with a manuscript entitled "Anomalous 234U/238U Isotopic Composition in Southern Ocean Sediments" by N. Redmond, C. T. Hayes, S. K. Glasscock, E. Rohde, R. F. Anderson, and D. McGee <br> Variables<br> Sample ID - Section of ODP 1094 core. Hole-Core-Section-Depth(cms)<br> MCD_TOP - Meters Composite Depth at the top of the section<br> Age (Hasenfratz et al., 19) - in kyrs, based on tuning of benthic δ18O to LR04 stack<br> U-238 - Concentration of 238U in bulk sediment, units in ppm or micrograms/gram.<br> aU - Authigenic uranium concentration, calculated from removing th-based detrital U fraction from bulk 238U, units in ppm or micrograms/gram<br> δ234U Observed - Uranium isotope composition observed in bulk sediment, written as the per mil deviation from secular equilibrium, units in ppm or micrograms/gram<br> δ234U Observed Error - Uncertainty Uranium isotope composition observed in bulk sediment, written as the per mil deviation from secular equilibrium, units in ppm or micrograms/gram<br> δ234U Modeled - Uranium isotope composition predicted in bulk sediment by a mixing model of authigenic and detrital U, decayed with age to match observed data, written as the per mil deviation from secular equilibrium, units in ppm or micrograms/gram<br> δ234U Modeled Error - Uncertainty of Uranium isotope composition predicted in bulk sediment by a mixing model of authigenic and detrital U, decayed with age to match observed data, written as the per mil deviation from secular equilibrium, units in ppm or micrograms/gram
description: Funded by National Science Foundation Award #1658445