cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.12758132
title: Impact of postures on Cobb angle measurements in scoliosis mouse models

description: This data set concludes all the images, charts, statistics and reference that occurred in my thesis. Here is the abstract.<br>Scoliosis is defined by a Cobb angle measurement that exceeds 10° from the anterior-posterior standing radiograph. Its diagnosis and management decisions rely on the stringent assessment of the curve magnitude.<br>There are quadrupedal animal models like pigs, rabbits and rats, bipedal animal models like chickens and non-human primates. There are also guppy and zebrafish which are widely used in genetic model establishment. Mouse is suitable for either - the mechanical model or the genetic model, and the genetic background is clear with a relatively high gene homology, which makes it a promising animal model for future scoliosis study.<br>In humans, the effect of positioning error on Cobb angle measurements and the measurement error expected from variations in imaging have been investigated intensively. As there is no study that describes these two kinds of error in animal models, the study objective is to test the effect of postures on the angle measurement as well as to establish a standard for mouse imaging.<br>In present study, we first collected 77 mice to do radiography. During the experiment, we described the criteria for a standard right posture in terms of the symmetry of body. We found out that the incidence of scoliosis in mouse population was around 28.6%. There was a big variation in curve magnitude as well. We took weekly X-rays for 24 mice and found out that the variation of multiple-time measurement was also very big. In the second part of the study, we collected 82 mice and designed 14 postures that may vary during imaging. The results showed that tilting of the head (&gt;30°) and the imbalance of the pelvis would greatly affect the curve magnitude with effect size (Glass’s delta) over 1.50 which is huge according to the definition.<br>Our work exemplified the importance of standard protocol during imaging when using animal model in the scoliosis study. This is important for all imaging studies in these animals. We recommend utilizing this standard in studying various disorders of the spine.
DOI: 10.25442/hku.12758132.v1
title: Impact of postures on Cobb angle measurements in scoliosis mouse models

description: This data set concludes all the images, charts, statistics and reference that occurred in my thesis. Here is the abstract.<br>Scoliosis is defined by a Cobb angle measurement that exceeds 10° from the anterior-posterior standing radiograph. Its diagnosis and management decisions rely on the stringent assessment of the curve magnitude.<br>There are quadrupedal animal models like pigs, rabbits and rats, bipedal animal models like chickens and non-human primates. There are also guppy and zebrafish which are widely used in genetic model establishment. Mouse is suitable for either - the mechanical model or the genetic model, and the genetic background is clear with a relatively high gene homology, which makes it a promising animal model for future scoliosis study.<br>In humans, the effect of positioning error on Cobb angle measurements and the measurement error expected from variations in imaging have been investigated intensively. As there is no study that describes these two kinds of error in animal models, the study objective is to test the effect of postures on the angle measurement as well as to establish a standard for mouse imaging.<br>In present study, we first collected 77 mice to do radiography. During the experiment, we described the criteria for a standard right posture in terms of the symmetry of body. We found out that the incidence of scoliosis in mouse population was around 28.6%. There was a big variation in curve magnitude as well. We took weekly X-rays for 24 mice and found out that the variation of multiple-time measurement was also very big. In the second part of the study, we collected 82 mice and designed 14 postures that may vary during imaging. The results showed that tilting of the head (&gt;30°) and the imbalance of the pelvis would greatly affect the curve magnitude with effect size (Glass’s delta) over 1.50 which is huge according to the definition.<br>Our work exemplified the importance of standard protocol during imaging when using animal model in the scoliosis study. This is important for all imaging studies in these animals. We recommend utilizing this standard in studying various disorders of the spine.
DOI: 10.25442/hku.12756467
title: Distributed Job Dispatching Cooperation in Edge Computing Network with Outdated Information

description: A generated dataset for numerical simulations in the edge computing network considering with outdated information cooperation on job dispatching.
DOI: 10.25442/hku.12756467.v1
title: Distributed Job Dispatching Cooperation in Edge Computing Network with Outdated Information

description: A generated dataset for numerical simulations in the edge computing network considering with outdated information cooperation on job dispatching.
DOI: 10.7910/dvn/4vptke/lgwxou
title: custom packaging.docx

description: :unav
DOI: 10.5517/ccdc.csd.cc1k68lm
title: CCDC 1436000: Experimental Crystal Structure Determination

description: Related Article: Mahmood Azizpoor Fard, Alexander M. Polgar, John F. Corrigan|2020|Organometallics|39|2900|doi:10.1021/acs.organomet.0c00401
DOI: 10.5517/ccdc.csd.cc1k68mn
title: CCDC 1436001: Experimental Crystal Structure Determination

description: Related Article: Mahmood Azizpoor Fard, Alexander M. Polgar, John F. Corrigan|2020|Organometallics|39|2900|doi:10.1021/acs.organomet.0c00401
DOI: 10.5517/ccdc.csd.cc1k68np
title: CCDC 1436002: Experimental Crystal Structure Determination

description: Related Article: Mahmood Azizpoor Fard, Alexander M. Polgar, John F. Corrigan|2020|Organometallics|39|2900|doi:10.1021/acs.organomet.0c00401
DOI: 10.5517/ccdc.csd.cc1k68pq
title: CCDC 1436003: Experimental Crystal Structure Determination

description: Related Article: Mahmood Azizpoor Fard, Alexander M. Polgar, John F. Corrigan|2020|Organometallics|39|2900|doi:10.1021/acs.organomet.0c00401
DOI: 10.5517/ccdc.csd.cc1zbvz4
title: CCDC 1827697: Experimental Crystal Structure Determination

description: Related Article: Mahmood Azizpoor Fard, Alexander M. Polgar, John F. Corrigan|2020|Organometallics|39|2900|doi:10.1021/acs.organomet.0c00401
DOI: 10.25345/c5xb3g
title: MassIVE MSV000085943 - Giardia lamblia WBC 50803 ventral disc fractionation proteomics
title: Nosala C, Hagen KD, Hilton N, et al. Disc-associated proteins (DAPs) mediate the unusual hyperstability of Giardia's ventral disc. J Cell Sci. 2020; ejcs.227355.
DOI: 10.5517/ccdc.csd.cc21t1qn
title: CCDC 1900911: Experimental Crystal Structure Determination

description: Related Article: Yeshwinder Saini, Sheena Mahajan, Kamal K. Kapoor, Geeta Hundal, Saikat Kumar Seth|2020|J.Mol.Struct.|1224|128920|doi:10.1016/j.molstruc.2020.128920
DOI: 10.5517/ccdc.csd.cc21t1rp
title: CCDC 1900912: Experimental Crystal Structure Determination

description: Related Article: Yeshwinder Saini, Sheena Mahajan, Kamal K. Kapoor, Geeta Hundal, Saikat Kumar Seth|2020|J.Mol.Struct.|1224|128920|doi:10.1016/j.molstruc.2020.128920
DOI: 10.5517/ccdc.csd.cc21t1sq
title: CCDC 1900913: Experimental Crystal Structure Determination

description: Related Article: Yeshwinder Saini, Sheena Mahajan, Kamal K. Kapoor, Geeta Hundal, Saikat Kumar Seth|2020|J.Mol.Struct.|1224|128920|doi:10.1016/j.molstruc.2020.128920
DOI: 10.5517/ccdc.csd.cc24pmn4
title: CCDC 1986996: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pmq6
title: CCDC 1986998: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pmr7
title: CCDC 1986999: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pms8
title: CCDC 1987000: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pmvb
title: CCDC 1987002: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pmwc
title: CCDC 1987003: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5517/ccdc.csd.cc24pmyf
title: CCDC 1987005: Experimental Crystal Structure Determination

description: Related Article: Zhou Tang, Xiao-Yong Chang, Qingyun Wan, Jian Wang, Chensheng Ma, Kwok-Chung Law, Yungen Liu, Chi-Ming Che|2020|Organometallics|39|2791|doi:10.1021/acs.organomet.0c00149
DOI: 10.5281/zenodo.3982048
title: CPU Benchmarking data collected on CloudLab

description: This dataset includes over over 2M CPU performance measurements collected on the CloudLab testbed. For more information about *how* and *why* it is collected, please refer to the "Taming Performance Variability" paper (https://www.usenix.org/system/files/osdi18-maricq.pdf). For additional information about CPU measurements, you can refer to: https://www.flux.utah.edu/download?uid=288. All these records were exported from the live database dedicated to this CloudLab benchmarking project. The current version of the repo includes some memory benchmarking results (only June-July 2020).
DOI: 10.5281/zenodo.3870913
title: CPU Benchmarking data collected on CloudLab

description: This dataset includes over over 2M CPU performance measurements collected on the CloudLab testbed. For more information about *how* and *why* it is collected, please refer to the "Taming Performance Variability" paper (https://www.usenix.org/system/files/osdi18-maricq.pdf). For additional information about CPU measurements, you can refer to: https://www.flux.utah.edu/download?uid=288. All these records were exported from the live database dedicated to this CloudLab benchmarking project. The current version of the repo includes some memory benchmarking results (only June-July 2020).
DOI: 10.5281/zenodo.3982049
title: Dataset accompanying "SECAT: Quantifying differential protein-protein interaction states by network-centric analysis"

description: This repository contains input data, processing parameters and results associated with manuscript "SECAT: Quantifying differential protein-protein interaction states by network-centric analysis". Each archive contains a README.txt file that describes the contents.
DOI: 10.5281/zenodo.3631786
title: Dataset accompanying "SECAT: Quantifying differential protein-protein interaction states by network-centric analysis"

description: This repository contains input data, processing parameters and results associated with manuscript "SECAT: Quantifying differential protein-protein interaction states by network-centric analysis". Each archive contains a README.txt file that describes the contents.
DOI: 10.5281/zenodo.3981568
title: Pediatric Asthma Healthcare Utilization, Viral Testing, and Air Pollution Changes during the COVID-19 Pandemic

description: Data related to asthma care encounters during the COVID19 pandemic.
DOI: 10.5281/zenodo.3981567
title: Pediatric Asthma Healthcare Utilization, Viral Testing, and Air Pollution Changes during the COVID-19 Pandemic

description: Data related to asthma care encounters during the COVID19 pandemic.
DOI: 10.5281/zenodo.3981482
title: Global Data Set on Spread of COVID-19 and Ambient Temperature

description: The Novel Coronavirus (COVID-19) daily data of confirmed cases for affected countries and provinces of China reported between 31st December 2019 and 31st May 2020. The data was collected from the European Centre for Disease Prevention and Control (ECDC), and John Hopkin CSSA. The monthly mean temperature of February to May 2020 of capital cities for the various nations.
DOI: 10.5281/zenodo.3981481
title: Global Data Set on Spread of COVID-19 and Ambient Temperature

description: The Novel Coronavirus (COVID-19) daily data of confirmed cases for affected countries and provinces of China reported between 31st December 2019 and 31st May 2020. The data was collected from the European Centre for Disease Prevention and Control (ECDC), and John Hopkin CSSA. The monthly mean temperature of February to May 2020 of capital cities for the various nations.
DOI: 10.5281/zenodo.3981486
title: US Coronavirus Cases and Deaths

description: This is an archived copy of the USAFacts Covid 19 cases and deaths dataset, created august 10th 2020. It is purely for archiving and citing purposes for academic publication. All work, credit, and rights remain with the USAFacts team. The original data url was:<br> https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/ Descriptions of the data were available here: https://usafacts.org/articles/detailed-methodology-covid-19-data/
DOI: 10.5281/zenodo.3981485
title: US Coronavirus Cases and Deaths

description: This is an archived copy of the USAFacts Covid 19 cases and deaths dataset, created august 10th 2020. It is purely for archiving and citing purposes for academic publication. All work, credit, and rights remain with the USAFacts team. The original data url was:<br> https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/ Descriptions of the data were available here: https://usafacts.org/articles/detailed-methodology-covid-19-data/
DOI: 10.25919/5f34e8cb03755
title: Parkes observations for project P1038 semester 2020APRS_09

description: PSR~J1759-2402 is one of a small handful of pulsars which are in orbit about high mass stars. Its orbital period is 8.2 years and the orbit is highly eccentric with periastron expected in 2021 January. Although discovered at Parkes, the Lovell telescope has been monitoring the pulsar over many years. However, it's restricted bandwidth and lack of polarization capability make it unsuitable to follow the pulsar as it enters and leaves the eclipse by the companion. In contrast, the UWL on Parkes with its wide-band and excellent polarization characteristics means that we can determine scattering, polarization, dispersion measure and rotation measure changes as the pulsar enters its companion wind. We request weekly observations of the pulsar to track its progress around the orbit.
DOI: 10.25442/hku.12776177.v1
title: Building a Solid-state Quantum Repeater Network

description: The dataset contains a Data Management Plan, a readme file and 5 ipynb files. The ipynb files are python scripts that can be opened using IPython 3.0 or Jupyter Notebook, which performs numerical simulations to generate data for Chapter 4 in the thesis. The readme file provides details of the software and how the scripts can be read.
DOI: 10.25442/hku.12776177
title: Building a Solid-state Quantum Repeater Network

description: The dataset contains a Data Management Plan, a readme file and 5 ipynb files. The ipynb files are python scripts that can be opened using IPython 3.0 or Jupyter Notebook, which performs numerical simulations to generate data for Chapter 4 in the thesis. The readme file provides details of the software and how the scripts can be read.
DOI: 10.5517/ccdc.csd.cc24rjl1
title: CCDC 1988823: Experimental Crystal Structure Determination

description: Related Article: Anthony Wong, Jiaxiang Chu, Guang Wu, Joshua Telser, Roman Dobrovetsky, Gabriel Ménard|2020|Inorg.Chem.|59|10343|doi:10.1021/acs.inorgchem.0c01464
DOI: 10.25345/c5sj2x
title: MassIVE MSV000085944 - GNPS - Tsunoda Diphenhydramine Study
title: study of diphenhydramine in blood and skin - untargeted mass spectrometry analysis
DOI: 10.25919/5f34f29d914d7
title: Parkes observations for project P737 semester 2020APRS_07

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.25919/5f34f2d8b8aca
title: Parkes observations for project P1054 semester 2020APRS_04

description: With this proposal we ask time to begin a follow-up campaign of potential new discoveries from the TRAPUM (TRAnsients and PUlsars with Meerkat) survey, which is due to start in January 2020. About 10 new pulsars are expected to be found during the first semester of operations, in targeted pointings towards supernova remnants, pulsar wind nebulae and Fermi unidentified point sources. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that will allow us to successfully time the bright-end of TRAPUM discoveries. We here request (up to) 2-hr long monthly observations of any new TRAPUM pulsar with a flux density at 1.4 GHz above $\sim 60 \mu$Jy.
DOI: 10.5281/zenodo.3981040
title: SciGRID_gas NO_Raw

description: The NO_raw dataset is an outcome of the SciGRID_gas project The data set contains geographical and meta information on the Norwegian gas transport network. The data originats from Gassco AS, The Norwegian Ministry of Petroleum and Energy (www.norskpetroleum.no). The data has is being stored in both CSV and GeoJSON files.
DOI: 10.25405/data.ncl.12613880
title: PLEXUS Soil Temperature Data

description: This text presents the soil temperature data at 15-min frequency collected at Lysimeter 10 located at the National Green Infrastructure Facility between 03.05.2019 and 18.07.2019.
DOI: 10.25405/data.ncl.12167487
title: PLEXUS Hydrological Data

description: This dataset consists of volumetric water content and matric suction measurements in Lysimeter 10 at the National Green Infrastructure Facility (NGIF) at 100, 250, 350, 450, 550, 650 and 750 mm.
DOI: 10.25405/data.ncl.12167487.v2
title: PLEXUS Hydrological Data

description: This dataset consists of volumetric water content and matric suction measurements in Lysimeter 10 at the National Green Infrastructure Facility (NGIF) at 100, 250, 350, 450, 550, 650 and 750 mm.
DOI: 10.25405/data.ncl.12167487.v1
title: PLEXUS Lysimeter Data

description: Measurements of volumetric water content, matric suction and soil temperature at depths 100, 250, 350, 450, 550, 650 and 750 mm.<br>Thermal conductivity measurements at 250, 350, 550 and 750 mm.
DOI: 10.25405/data.ncl.12789842
title: PLEXUS Sand Thermal Conductivity Dryout Curve

description: This dataset presents the volumetric water content - thermal conductivity measurements of the PLEXUS sand tested at the National Green Infrastructure Facility (NGIF).
DOI: 10.25405/data.ncl.12613880.v1
title: PLEXUS Soil Temperature Data

description: This text presents the soil temperature data at 15-min frequency collected at Lysimeter 10 located at the National Green Infrastructure Facility between 03.05.2019 and 18.07.2019.
DOI: 10.25405/data.ncl.12789842.v1
title: PLEXUS Sand Thermal Conductivity Dryout Curve

description: This dataset presents the volumetric water content - thermal conductivity measurements of the PLEXUS sand tested at the National Green Infrastructure Facility (NGIF).
DOI: 10.7910/dvn/vqft9w/cnmyxq
title: Final dataset.tab

description: :unav
DOI: 10.5517/ccdc.csd.cc24m5pn
title: CCDC 1984641: Experimental Crystal Structure Determination

description: Related Article: Xianwen Meng, Mengzhen Chen, Rubing Bai, Lei He|2020|Inorg.Chem.|59|9605|doi:10.1021/acs.inorgchem.0c00645
DOI: 10.5517/ccdc.csd.cc24m5qp
title: CCDC 1984642: Experimental Crystal Structure Determination

description: Related Article: Xianwen Meng, Mengzhen Chen, Rubing Bai, Lei He|2020|Inorg.Chem.|59|9605|doi:10.1021/acs.inorgchem.0c00645
DOI: 10.5517/ccdc.csd.cc24m5rq
title: CCDC 1984643: Experimental Crystal Structure Determination

description: Related Article: Xianwen Meng, Mengzhen Chen, Rubing Bai, Lei He|2020|Inorg.Chem.|59|9605|doi:10.1021/acs.inorgchem.0c00645
DOI: 10.5517/ccdc.csd.cc24xhl5
title: CCDC 1993597: Experimental Crystal Structure Determination

description: Related Article: Aleksei S. Pronin, Yakov M. Gayfulin, Anton I. Smolentsev, Svetlana G. Kozlova, Vadim V. Yanshole, Yuri V. Mironov|2020|Inorg.Chem.|59|9710|doi:10.1021/acs.inorgchem.0c00956
DOI: 10.5517/ccdc.csd.cc24xhm6
title: CCDC 1993598: Experimental Crystal Structure Determination

description: Related Article: Aleksei S. Pronin, Yakov M. Gayfulin, Anton I. Smolentsev, Svetlana G. Kozlova, Vadim V. Yanshole, Yuri V. Mironov|2020|Inorg.Chem.|59|9710|doi:10.1021/acs.inorgchem.0c00956
DOI: 10.5517/ccdc.csd.cc24yslh
title: CCDC 1994837: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc24ysmj
title: CCDC 1994838: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc24ysnk
title: CCDC 1994839: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc24yspl
title: CCDC 1994840: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc24ysqm
title: CCDC 1994841: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc24ysrn
title: CCDC 1994842: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Jörg Wagler|2020|Dalton Trans.|49|10042|doi:10.1039/D0DT01538E
DOI: 10.5517/ccdc.csd.cc254h0v
title: CCDC 2000306: Experimental Crystal Structure Determination

description: Related Article: Sina Witzel, Marte S. M. Holmsen, Matthias Rudolph, Martin C. Dietl, Sigurd Øien-Ødegaard, Frank Rominger, Mats Tilset, A. Stephen K. Hashmi|2020|Organometallics|39|2830|doi:10.1021/acs.organomet.0c00364
DOI: 10.34740/kaggle/dsv/1415064
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.26302/sshade/experiment_lb_20191220_001
title: NIR reflectance spectrum (i=0°, e=30°) of bulk CV chondrites under vacuum at T = 80°C

description: NIR reflectance spectra (i = 0°, e=30°) of bulk CV chondrites (CVRed, CVOxA, CVOxB) under vacuum at T = 80°C
DOI: 10.26302/sshade/experiment_lb_20191220_002
title: NIR reflectance spectrum (i=0°, e=30°) of bulk CO chondrites under vacuum at T = 80°C

description: NIR reflectance spectra (i = 0°, e=30°) of bulk CO chondrites under vacuum at T = 80°C
DOI: 10.26302/sshade/experiment_lb_20191220_003
title: NIR reflectance spectrum (i=0°, e=30°) of bulk CR chondrites under vacuum at T = 80°C

description: NIR reflectance spectra (i = 0°, e=30°) of bulk CR chondrites under vacuum at T = 80°C