cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25j7hg
title: CCDC 2011605: Experimental Crystal Structure Determination

description: Related Article: Alex S. Quy, Xingjian Li, Louise Male, Tatjana Stankovic, Angelo Agathanggelou, John S. Fossey|2020|Tetrahedron|76|131631|doi:10.1016/j.tet.2020.131631
DOI: 10.5517/ccdc.csd.cc25j7jh
title: CCDC 2011606: Experimental Crystal Structure Determination

description: Related Article: Alex S. Quy, Xingjian Li, Louise Male, Tatjana Stankovic, Angelo Agathanggelou, John S. Fossey|2020|Tetrahedron|76|131631|doi:10.1016/j.tet.2020.131631
DOI: 10.5517/ccdc.csd.cc25j7kj
title: CCDC 2011607: Experimental Crystal Structure Determination

description: Related Article: Alex S. Quy, Xingjian Li, Louise Male, Tatjana Stankovic, Angelo Agathanggelou, John S. Fossey|2020|Tetrahedron|76|131631|doi:10.1016/j.tet.2020.131631
DOI: 10.5517/ccdc.csd.cc25k081
title: CCDC 2012342: Experimental Crystal Structure Determination

description: Related Article: Shou-Mao Shen, Heng Li, Jian-Rong Wang, Yan-Bo Zeng, Yue-Wei Guo|2020|Tetrahedron|76|131616|doi:10.1016/j.tet.2020.131616
DOI: 10.5517/ccdc.csd.cc25k0b3
title: CCDC 2012344: Experimental Crystal Structure Determination

description: Related Article: Shou-Mao Shen, Heng Li, Jian-Rong Wang, Yan-Bo Zeng, Yue-Wei Guo|2020|Tetrahedron|76|131616|doi:10.1016/j.tet.2020.131616
DOI: 10.5517/ccdc.csd.cc25k0c4
title: CCDC 2012345: Experimental Crystal Structure Determination

description: Related Article: Shou-Mao Shen, Heng Li, Jian-Rong Wang, Yan-Bo Zeng, Yue-Wei Guo|2020|Tetrahedron|76|131616|doi:10.1016/j.tet.2020.131616
DOI: 10.5517/ccdc.csd.cc25k0d5
title: CCDC 2012346: Experimental Crystal Structure Determination

description: Related Article: Shou-Mao Shen, Heng Li, Jian-Rong Wang, Yan-Bo Zeng, Yue-Wei Guo|2020|Tetrahedron|76|131616|doi:10.1016/j.tet.2020.131616
DOI: 10.5517/ccdc.csd.cc25k0f6
title: CCDC 2012347: Experimental Crystal Structure Determination

description: Related Article: Shou-Mao Shen, Heng Li, Jian-Rong Wang, Yan-Bo Zeng, Yue-Wei Guo|2020|Tetrahedron|76|131616|doi:10.1016/j.tet.2020.131616
DOI: 10.5517/ccdc.csd.cc25lt2p
title: CCDC 2014072: Experimental Crystal Structure Determination

description: Related Article: Xiong-Wei Liu, Jing Yue, Zheng Li, Dan Wu, Min-Yi Tian, Qi-Lin Wang, Ying Zhou|2020|Tetrahedron|76|131678|doi:10.1016/j.tet.2020.131678
DOI: 10.5517/ccdc.csd.cc2676m9
title: CCDC 2032720: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.5517/ccdc.csd.cc2676nb
title: CCDC 2032721: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.5517/ccdc.csd.cc2676pc
title: CCDC 2032722: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.5517/ccdc.csd.cc2676qd
title: CCDC 2032723: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.5517/ccdc.csd.cc2676rf
title: CCDC 2032724: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.5517/ccdc.csd.cc2676l8
title: CCDC 2032719: Experimental Crystal Structure Determination

description: Related Article: Fanji Kong, Shunyan Gu, Chang Liu, Diane A. Dickie, Sen Zhang, T. Brent Gunnoe|2020|Organometallics|39|3918|doi:10.1021/acs.organomet.0c00623
DOI: 10.6084/m9.figshare.13234424
title: Supplementary Material for: The Association between Serum Uric Acid and Appendicular Skeletal Muscle Mass and the Effect of Their Interaction on Mortality in Patients on Peritoneal Dialysis

description: <b><i>Background:</i></b> Serum uric acid (SUA) has been revealed to be positively associated with the body composition parameters in hemodialysis patients, but few studies have investigated that in patients on peritoneal dialysis (PD). The aim of this study was to identify the relationship between SUA and appendicular skeletal muscle mass (ASM) and the effect of their interaction on mortality in PD patients. <b><i>Methods:</i></b> This was a single-center retrospective cohort study. Patients who underwent multifrequency bioelectrical impedance analysis between January 1, 2013, and December 31, 2016, and had data on SUA values were enrolled. All patients were followed up until December 31, 2019. <b><i>Results:</i></b> In total, 802 prevalent PD patients (57.9% male), with mean age of 46.2 ± 14.2 years were enrolled. The average SUA and ASM were 6.8 ± 1.3 mg/dL and 21.2 ± 4.9 kg. According to multiple linear regression models, SUA was positively associated with relative ASM in middle-aged and older PD patients (standardized coefficients [β] 0.117; 95% confidence interval [CI] 0.027, 0.200; <i>p</i> = 0.010). Further sex-stratified analysis showed that the association existed only in males (β 0.161; 95% CI 0.017, 0.227; <i>p</i> = 0.023). Moreover, the presence of hyperuricemia was found to predict lower risk of all-cause mortality (hazard ratio [HR] 0.514, 95% CI 0.272, 0.970; <i>p</i> = 0.040) only in patients with lower relative ASM. And, the adjusted HR of every 1 mg/dL elevated SUA level was 0.770 (95% CI 0.609, 0.972; <i>p</i> = 0.028) for all-cause mortality in the lower relative ASM subgroup. <b><i>Conclusions:</i></b> There exists a positive association between the SUA and ASM, and the ASM significantly affected the association between SUA and all-cause PD mortality.
DOI: 10.6084/m9.figshare.13234424.v1
title: Supplementary Material for: The Association between Serum Uric Acid and Appendicular Skeletal Muscle Mass and the Effect of Their Interaction on Mortality in Patients on Peritoneal Dialysis

description: <b><i>Background:</i></b> Serum uric acid (SUA) has been revealed to be positively associated with the body composition parameters in hemodialysis patients, but few studies have investigated that in patients on peritoneal dialysis (PD). The aim of this study was to identify the relationship between SUA and appendicular skeletal muscle mass (ASM) and the effect of their interaction on mortality in PD patients. <b><i>Methods:</i></b> This was a single-center retrospective cohort study. Patients who underwent multifrequency bioelectrical impedance analysis between January 1, 2013, and December 31, 2016, and had data on SUA values were enrolled. All patients were followed up until December 31, 2019. <b><i>Results:</i></b> In total, 802 prevalent PD patients (57.9% male), with mean age of 46.2 ± 14.2 years were enrolled. The average SUA and ASM were 6.8 ± 1.3 mg/dL and 21.2 ± 4.9 kg. According to multiple linear regression models, SUA was positively associated with relative ASM in middle-aged and older PD patients (standardized coefficients [β] 0.117; 95% confidence interval [CI] 0.027, 0.200; <i>p</i> = 0.010). Further sex-stratified analysis showed that the association existed only in males (β 0.161; 95% CI 0.017, 0.227; <i>p</i> = 0.023). Moreover, the presence of hyperuricemia was found to predict lower risk of all-cause mortality (hazard ratio [HR] 0.514, 95% CI 0.272, 0.970; <i>p</i> = 0.040) only in patients with lower relative ASM. And, the adjusted HR of every 1 mg/dL elevated SUA level was 0.770 (95% CI 0.609, 0.972; <i>p</i> = 0.028) for all-cause mortality in the lower relative ASM subgroup. <b><i>Conclusions:</i></b> There exists a positive association between the SUA and ASM, and the ASM significantly affected the association between SUA and all-cause PD mortality.
DOI: 10.6084/m9.figshare.13234343
title: A dataset on land cover from 1990 to 2015 in Mongolia

description: Mongolian Plateau locates in the interior of Eurasia, far from the sea, is extremely vulnerable to climate change and the deleterious effects of human activity. As one of the indicators in the United Nations Sustainable Development Goals (SDGs), land degradation combating is a big challenge in Mongolia, located in the corp part of MP. By means of the object-oriented remote sensing interpretation, we obtained the refined land cover data of Mongolia in 1990, 2000, 2010, and 2015 with 30-m resolution. The land cover classification of Mongolian contains 11 categories, including forest, meadow steppe, real steppe, desert steppe, barren, sand, desert, ice, water, cropland, and built area. Their corrsponding codes in the attribute table of the dataset are 11, 21, 22, 23, 72, 71, 73, 31, 51, 41, and 61, respectively. Their overall classification accuracies were 82.26%, 82.77%, 92.34%, and 92.75%, respectively. It can be found that the land cover of Mongolia has obvious law of zonal gradual changes. From north to south are forest, real steppe, desert steppe, and barren land, and the vegetation coverage progressively decreases. This dataset can provide scientific data support for sustainable development in Northeast Asia and achieving the goal of Land Degradation Neutrality. <br>
DOI: 10.5281/zenodo.4267711
title: Appendix: Refactoring Data Set

description: A large-scale data set containing refactorings mined from 92.800 open-source Java projects enriched with code metrics. Additionally, the data set contains Stable-Instances of the Class-, Method-, Variable- and Field-Level. The source code of the data collection tool can be found on GitHub: https://github.com/refactoring-ai/Data-Collection.<br>
DOI: 10.5281/zenodo.4267710
title: Appendix: Refactoring Data Set

description: A large-scale data set containing refactorings mined from 92.800 open-source Java projects enriched with code metrics. Additionally, the data set contains Stable-Instances of the Class-, Method-, Variable- and Field-Level. The source code of the data collection tool can be found on GitHub: https://github.com/refactoring-ai/Data-Collection.<br>
DOI: 10.5281/zenodo.3906299
title: Opportunities and barriers to increase in the use of wood in the construction sector

description: The presented data are results of the survey conducted as a part of the Basajaun Project on the possibilities and barriers in the development of wooden construction. The first stage of the analysis was to create a list of opportunities and barriers. In the second step, two surveys were drawn up based on the proposed opportunities and barriers: one for the entities directly related to the wood construction sector (producers, representatives of public administration and experts in the field of wood construction from academia/research institutions) and one for end-users (consumers). The first survey, addressed to the entities related to the construction sector, included questions with the help of which respondents had to assess the importance of opportunities for and barriers to the increase in the use of wood in construction. The second survey, addressed to society, concerned issues such as the associations of customers with a wooden house, their opinion on wooden construction, and the most important aspects encouraging people to live permanently in a wooden house.
description: BASAJAUN - Building a Sustainable Joint between rural and Urban Areas Through Circular and Innovative Wood Construction Value Chains, grant agreement no. 862942
DOI: 10.5281/zenodo.3906298
title: Opportunities and barriers to increase in the use of wood in the construction sector

description: The presented data are results of the survey conducted as a part of the Basajaun Project on the possibilities and barriers in the development of wooden construction. The first stage of the analysis was to create a list of opportunities and barriers. In the second step, two surveys were drawn up based on the proposed opportunities and barriers: one for the entities directly related to the wood construction sector (producers, representatives of public administration and experts in the field of wood construction from academia/research institutions) and one for end-users (consumers). The first survey, addressed to the entities related to the construction sector, included questions with the help of which respondents had to assess the importance of opportunities for and barriers to the increase in the use of wood in construction. The second survey, addressed to society, concerned issues such as the associations of customers with a wooden house, their opinion on wooden construction, and the most important aspects encouraging people to live permanently in a wooden house.
description: BASAJAUN - Building a Sustainable Joint between rural and Urban Areas Through Circular and Innovative Wood Construction Value Chains, grant agreement no. 862942
DOI: 10.6084/m9.figshare.13234310
title: Gimeno_NewPhyt_2021_WTC3_gmes.rar

description: There are five files included in this package:<br>1) readMe.txt2) WTC_TEMP_gmes_subdaily_20131018-20140420_L2.csv3) WTC_TEMP_gmes_20131018-20140420_L2.csv4) Gimeno_etal_WTC_gmes_NP_FINAL_w_Fig.pdf5) Gimeno_etal_2019_WTC_gmes_NP_SUPP_FINAL.pdf<br>These files contain the data included in this publication:<br><br>Title:Whole-tree mesophyll conductance reconciles isotopic and gas-exchange estimates of water-use efficiency<br>Authors list:Teresa E. Gimeno, Courtney E. Campany, John E. Drake, Craig V. M. Barton, Mark G. Tjoelker, Nerea Ubierna and John D. Marshall<br>Accepted for publication in New Phytologist on the 7th November 2020<br>Corresponding author: Teresa E. Gimeno (teresa.gimeno@bc3research.org, tegimeno@gmail.com)<br>A pdf of the final accepted version of this mansucript, with its figures and a pdf with supplementary material are provided.<br>See readMe file for further details.
DOI: 10.6084/m9.figshare.13234310.v1
title: Gimeno_NewPhyt_2021_WTC3_gmes.rar

description: There are three files included in this package:<br>1) readMe.txt2) WTC_TEMP_gmes_subdaily_20131018-20140420_L2.csv3) WTC_TEMP_gmes_20131018-20140420_L2.csv4) Gimeno_et_al_2021_whole_tree_gmes_iWUE_New_Phytol.pdf<br>These files contain the data included in this publication:<br>Title:Whole-tree mesophyll conductance reconciles isotopic and gas-exchange estimates of water-use efficiency<br>Authors list:Teresa E. Gimeno, Courtney E. Campany, John E. Drake, Craig V. M. Barton, Mark G. Tjoelker, Nerea Ubierna and John D. Marshall<br>Accepted for publication in New Phytologist on the 7th November 2020<br>Corresponding author: Teresa E. Gimeno (teresa.gimeno@bc3research.org, tegimeno@gmail.com)<br>A pdf of the final accepted version of this mansucript, with its figures and supplementary material is provided.<br>See readMe file for further details.
DOI: 10.6084/m9.figshare.11674158
title: Difference tones in “ non-Pythagorean” scales based on logarithms

description: In order to explore tonality outside of the “Pythagorean” paradigm of integer ratios, Robert Schneider introduced a musical scale based on the logarithm function. We seek to refine Schneider's scale so that the difference tones generated by different degrees of the scale are themselves octave equivalents of notes in the scale. In doing so, we prove that a scale which contains all its difference tones in this way must consist solely of integer ratios. With this in mind, we present some methods for producing logarithmic scales which contain many, but not all, of the difference tones they generate.
DOI: 10.6084/m9.figshare.11674158.v1
title: Difference tones in “ non-Pythagorean” scales based on logarithms

description: In order to explore tonality outside of the “Pythagorean” paradigm of integer ratios, Robert Schneider introduced a musical scale based on the logarithm function. We seek to refine Schneider's scale so that the difference tones generated by different degrees of the scale are themselves octave equivalents of notes in the scale. In doing so, we prove that a scale which contains all its difference tones in this way must consist solely of integer ratios. With this in mind, we present some methods for producing logarithmic scales which contain many, but not all, of the difference tones they generate.
DOI: 10.25919/zjys-kz75
title: RV Investigator Voyage IN2018_E02 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2018_e02, titled "Marine National Facility Equipment Calibration, Sea Trials and Personnel Training". The voyage took place from Hobart (TAS) to Hobart between September 2 and September 9, 2018. Please note that quality-controlled data from Trials Voyages are usually not produced. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60, ME70), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), pCO2, Starboard and Portside Radiometers, Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG), CTD. Voyage-specific measurements: EZnet, Triaxus, Ultra Short BaseLine Underwater Positioning System (USBL). The archive for the IN2018_E02 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.
DOI: 10.21227/3q9n-4h37
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoids and autonomous legged robots.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and AI, 7, 562061. DOI: 10.3389/frobt.2020.562061.
DOI: 10.5281/zenodo.4271464
title: Monte-Carlo simulation of dike stability based on a coupled steady-state hydro-stability model

description: With a large network of dikes that in the future will protect up to 15% of the worlds population from flooding, more extreme river discharges that result from climate change will dramatically increase the flood risk of these protected societies. Precise calculations of dike stability under adverse loading conditions will become increasingly important, though the hydrological impacts on dike stability, particularly the effects of groundwater flow, are often oversimplified in stability calculations. In order to better take account of groundwater flow processes, we use a coupled hydro-stability model to indicate relations between the geometry, subsurface materials, groundwater hydrology and stability of a dike. To calculate the stability, the most adverse drained loading conditions are applied to soil slip and basal sliding mechanisms. A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains the parameter combinations that resulted in a stability factor (F) closest to the critical conditon, e.g. closest to F=1. The database can be used to estimate failure probabilities for dike stretches that have not been assessed in detail, while including the uncertainties caused by a lack of in-situ data.
DOI: 10.6084/m9.figshare.13234478
title: MAGs10

description: Full catalogue of MAGs
DOI: 10.5281/zenodo.4134801
title: Virulence mismatches in index hosts shape the outcomes of cross-species transmission

description: Supplemental data and code for the paper <em>Virulence mismatches in index hosts shape the outcomes of cross-species transmission</em>. Dataset 1 is an R Shiny app allowing the estimation of rabies disease progression parameters for all observed combinations of virus source (reservoir) and recipient species, including within-species inoculations. Dataset 2 contains the original data and the analysis code used in this study. See the README files in each dataset folder for further information and usage instructions.
description: Changelog - v1.0: initial upload for peer review | v2.0: minor code changes, added documentation and data references, improved reproducibility
DOI: 10.5281/zenodo.3746609
title: Virulence mismatches in index hosts shape the outcomes of cross-species transmission

description: Supplemental data and code for the paper <em>Virulence mismatches in index hosts shape the outcomes of cross-species transmission</em>. Dataset 1 is an R Shiny app allowing the estimation of rabies disease progression parameters for all observed combinations of virus source (reservoir) and recipient species, including within-species inoculations. Dataset 2 contains the original data and the analysis code used in this study. See the README files in each dataset folder for further information and usage instructions.
description: Changelog - v1.0: initial upload for peer review | v2.0: minor code changes, added documentation and data references, improved reproducibility
DOI: 10.6084/m9.figshare.13187396.v1
title: MAGs

description: MAGs described as part of this publication
DOI: 10.6084/m9.figshare.13187396
title: MAGs

description: MAGs described as part of this publication
DOI: 10.5517/ccdc.csd.cc242qdc
title: CCDC 1968822: Experimental Crystal Structure Determination

description: Related Article: Bradley Westwater, Hayleigh J. Lloyd, Inigo J. Vitorica-Yrezabal, Angela Fong, Patrick McMaster, Martin Sloan, Brian M. Coaker, Colin R. Pulham, Peter Portius|2020|Dalton Trans.|49|14975|doi:10.1039/D0DT03077E
DOI: 10.5517/ccdc.csd.cc24kvsc
title: CCDC 1983373: Experimental Crystal Structure Determination

description: Related Article: Bradley Westwater, Hayleigh J. Lloyd, Inigo J. Vitorica-Yrezabal, Angela Fong, Patrick McMaster, Martin Sloan, Brian M. Coaker, Colin R. Pulham, Peter Portius|2020|Dalton Trans.|49|14975|doi:10.1039/D0DT03077E
DOI: 10.5517/ccdc.csd.cc25g6kf
title: CCDC 2009654: Experimental Crystal Structure Determination

description: Related Article: Yen-Fu Liu, Ji-Hong Hu, Wei-Te Lee, Xiang-Kai Yang, Jhy-Der Chen|2020|Cryst.Growth Des.|20|7211|doi:10.1021/acs.cgd.0c00878