cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27f3vn
title: CCDC 2068191: Experimental Crystal Structure Determination

description: Related Article: Arijit Halder, Anupam Maiti, Susanta Dinda, Biswajit Bhattacharya, Debajyoti Ghoshal|2021|Cryst.Growth Des.|21|6110|doi:10.1021/acs.cgd.1c00446
DOI: 10.5517/ccdc.csd.cc27f3wp
title: CCDC 2068192: Experimental Crystal Structure Determination

description: Related Article: Arijit Halder, Anupam Maiti, Susanta Dinda, Biswajit Bhattacharya, Debajyoti Ghoshal|2021|Cryst.Growth Des.|21|6110|doi:10.1021/acs.cgd.1c00446
DOI: 10.5517/ccdc.csd.cc28x29l
title: CCDC 2112349: Experimental Crystal Structure Determination

description: Related Article: Hai-Jiao Long, Yin-Long Li, Bing-Qian Zhang, Wen-Ying Xiao, Xiao-Ying Zhang, Ling He, Jun Deng|2021|Org.Lett.|23|8153|doi:10.1021/acs.orglett.1c02817
DOI: 10.5281/zenodo.5655483
title: Dataset from: Rapid stellar and binary population synthesis with COMPAS

description: This data set is used to produce Figure 16 of the COMPAS Paper (Team COMPAS et al. 2021). The file contains the output of 10,000,000 binaries evolved using COMPAS v02.21.00, using adaptive importance sampling (STROOPWAFEL) , sampling from a metallicity uniform in \(\log(Z) \in [10^{-4},0.03]\). More details can be found in the `Run_Details` group. *****************************<br> Contents<br> ***************************** COMPAS simulation output:<br> The hdf5 file Includes necessary information about the simulated binaries in the following groups:<br> <br> <strong>BSE_Double_Compact_Objects<br> BSE_Common_Envelopes<br> BSE_RLOF<br> BSE_Supernovae<br> BSE_System_Parameters<br> Run_</strong><strong>Details</strong><br> <br> We point the reader to the documentation at https://compas.science/docs, for information and instructions regarding the contained data.<br> <strong>Rate Data</strong><br> The hdf5 file contains 1 groups with BBH merger rate data for every BBH with an inspiral time that is smaller than the age of the Universe. This group contains a dataset "DCOmask" which can be used to point from the "DoubleCompactObjects" to the data contained in the respective rates datasets.<br> <br> We include the rates for one realization of the metallicity-dependent SFRD as discussed in the manuscript.<br> The metallicity-dependent SFRD used is the phenomenological metallicity-dependent SFRD as described in Neijssel et al. 2019, this contained in:<br> <strong>'Rates_mu00.035_muz-0.23_alpha0.0_sigma00.39_sigmaz0.0'</strong> ***************************** The rates were calculated by running ```FastCosmicIntegration.py``` from COMPAS's post-processing tools.<br> For a more detailed explanation of the workings of COMPAS's post-processing tools, please the docs https://compas.science/docs
DOI: 10.5281/zenodo.5655482
title: Dataset from: Rapid stellar and binary population synthesis with COMPAS

description: This data set is used to produce Figure 16 of the COMPAS Paper (Team COMPAS et al. 2021). The file contains the output of 10,000,000 binaries evolved using COMPAS v02.21.00, using adaptive importance sampling (STROOPWAFEL) , sampling from a metallicity uniform in \(\log(Z) \in [10^{-4},0.03]\). More details can be found in the `Run_Details` group. *****************************<br> Contents<br> ***************************** COMPAS simulation output:<br> The hdf5 file Includes necessary information about the simulated binaries in the following groups:<br> <br> <strong>BSE_Double_Compact_Objects<br> BSE_Common_Envelopes<br> BSE_RLOF<br> BSE_Supernovae<br> BSE_System_Parameters<br> Run_</strong><strong>Details</strong><br> <br> We point the reader to the documentation at https://compas.science/docs, for information and instructions regarding the contained data.<br> <strong>Rate Data</strong><br> The hdf5 file contains 1 groups with BBH merger rate data for every BBH with an inspiral time that is smaller than the age of the Universe. This group contains a dataset "DCOmask" which can be used to point from the "DoubleCompactObjects" to the data contained in the respective rates datasets.<br> <br> We include the rates for one realization of the metallicity-dependent SFRD as discussed in the manuscript.<br> The metallicity-dependent SFRD used is the phenomenological metallicity-dependent SFRD as described in Neijssel et al. 2019, this contained in:<br> <strong>'Rates_mu00.035_muz-0.23_alpha0.0_sigma00.39_sigmaz0.0'</strong> ***************************** The rates were calculated by running ```FastCosmicIntegration.py``` from COMPAS's post-processing tools.<br> For a more detailed explanation of the workings of COMPAS's post-processing tools, please the docs https://compas.science/docs
DOI: 10.5281/zenodo.5654874
title: Data for creating figures to the paper "Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Timescales Using the Geostationary Ocean Color Instrument."

description: Processed data to generate figures for the paper "Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Timescales Using the Geostationary Ocean Color Instrument." The rate at which microscopic ocean plants, or phytoplankton, consume carbon dioxide represents a gap in scientific knowledge that needs to be filled in order to better model the earth system. To aid in this understanding we use a novel technique that allows us to track the growth behavior of phytoplankton in the Yellow Sea and the East Sea-Japan Sea. This is enabled by using satellite data from the Geostationary Ocean Color Imager, which has the unprecedented ability to collect quality biological information from the ocean surface each daylight hour. We find that the results, while in agreement with local observations and other satellite studies, also contain information about how phytoplankton change over daily to annual cycles and how native communities adapt in response to the annual solar cycle. This information is useful to the ocean modeling community, that seeks to understand various ways in which phytoplankton communities affect the cycling of Earth’s carbon.
DOI: 10.5281/zenodo.5654873
title: Data for creating figures to the paper "Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Timescales Using the Geostationary Ocean Color Instrument."

description: Processed data to generate figures for the paper "Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Timescales Using the Geostationary Ocean Color Instrument." The rate at which microscopic ocean plants, or phytoplankton, consume carbon dioxide represents a gap in scientific knowledge that needs to be filled in order to better model the earth system. To aid in this understanding we use a novel technique that allows us to track the growth behavior of phytoplankton in the Yellow Sea and the East Sea-Japan Sea. This is enabled by using satellite data from the Geostationary Ocean Color Imager, which has the unprecedented ability to collect quality biological information from the ocean surface each daylight hour. We find that the results, while in agreement with local observations and other satellite studies, also contain information about how phytoplankton change over daily to annual cycles and how native communities adapt in response to the annual solar cycle. This information is useful to the ocean modeling community, that seeks to understand various ways in which phytoplankton communities affect the cycling of Earth’s carbon.
DOI: 10.5281/zenodo.5655788
title: Biology and Fertility Life Table of Soybean Looper in Soybean Genotypes

description: Dados brutos da biologia do Looper de soja em genótipos de soja
DOI: 10.5281/zenodo.5655787
title: Biology and Fertility Life Table of Soybean Looper in Soybean Genotypes

description: Dados brutos da biologia do Looper de soja em genótipos de soja
DOI: 10.6084/m9.figshare.13323071.v1
title: Sunda Shelf modulated sedimentation in the deep southern South China Sea, implications for the Middle Miocene Climatic Transition

description: This page contains original data of our study conducted to the Oligocene interval recovered from the South China Sea oceanic basin at International Ocean Discovery Program Expedition 349 Site U1433. <br>
DOI: 10.3886/e110681v1-101080
title: Imperial Russian Factory Database, 1894-1908

description: This database digitizes the 1894, 1900, and 1908 Imperial Russian manufacturing censuses. For each factory, the database includes industry, province, enterprise form, total workers, total revenue, and identifiers that allow factories to be matched over time. The 1894 and 1908 years also include information on the factory's total machine power. The dataset was constructed to study why some Russian firms chose to become corporations despite the Empire's expensive and time-consuming concession system. Note that the final analysis files exclude factories located outside of European Russia and, in the main data files, factories subject to the excise tax.
description: The dataset collects all industrial factories listed in the 1894, 1900, and 1908 Imperial Russian manufacturing censuses. Some factories are excluded because of industry (non-industrial categories, categories subject to the excise tax), and some are excluded by geographic (non-European Russia).
description: Manufacturing establishments in the European part of the Russian Empire. Smallest Geographic Unit: Imperial Russian Province
DOI: 10.6084/m9.figshare.16959571
title: Development of dual-arm mobile robot platform based on ROS

description: Aiming at the application requirements of dual-arm robots and mobile robots in practical applications, this paper designs a dual-arm mobile platform based on ROS (Robot Operating System), introduces the hardware components of the platform, builds a simulation platform and designs the actual software control framework, and finally through the design of the dual-robot coupled motion experiment, verifies the feasibility of the platform’s design. The mobile platform can meet a variety of application requirements and lay the foundation for subsequent development.
DOI: 10.6084/m9.figshare.16959571.v1
title: Development of dual-arm mobile robot platform based on ROS

description: Aiming at the application requirements of dual-arm robots and mobile robots in practical applications, this paper designs a dual-arm mobile platform based on ROS (Robot Operating System), introduces the hardware components of the platform, builds a simulation platform and designs the actual software control framework, and finally through the design of the dual-robot coupled motion experiment, verifies the feasibility of the platform’s design. The mobile platform can meet a variety of application requirements and lay the foundation for subsequent development.
DOI: 10.6084/m9.figshare.16959598.v1
title: Tara_BiosandSucc_MappingFile_16s_updated20180320.txt

description: This is the mapping file.
DOI: 10.6084/m9.figshare.16959598
title: Tara_BiosandSucc_MappingFile_16s_updated20180320.txt

description: This is the mapping file.
DOI: 10.7303/syn26450400
title: 1108 A test Dataset
DOI: 10.6084/m9.figshare.16577315
title: Number of births by gestational age and birth weight between 2000 and 2019 in Japan

description: This dataset shows the number of births in Japan by birth weight and by gestational age between 2000 and 2019. These data are from the annual vital statistics population data collected by the Ministry of Health, Labour and Welfare of Japan. In Japan, information related to birth was collected from birth certificates which issued by obstetricians and midwives at hospitals and clinics at the time of birth, and these data are reported to the mayor of the municipality. The birth certificate lists the sex, birth weight, gestational age, etc..These data are systematically registered electronically with the municipal government as vital statistics data.
DOI: 10.6084/m9.figshare.16959604.v1
title: EUR_gene_eqtl_hg19.tar.gz

description: This file contains the gene-level eQTLs (hg19) of european ancestry identified by KGGSEE (http://pmglab.top/kggsee/#/).
DOI: 10.6084/m9.figshare.16959604
title: EUR_gene_eqtl_hg19.tar.gz

description: This file contains the gene-level eQTLs (hg19) of european ancestry identified by KGGSEE (http://pmglab.top/kggsee/#/).
DOI: 10.25442/hku.16896253
title: Supporting data for Aspects of Artificial Intelligence (AI) in Dentistry

description: Four studies were conducted in this PhD project. In the first two studies, a novel AI algorithm with 3D-DCGAN for designing dental crowns was proposed and evaluated. Dental crowns designed by AI algorithm on pre-molars and molars were compared respectively to natural teeth, CEREC biogeneric design and technician design with the parameters of cusp angle, 3D volume discrepancy, occlusal contact point number and area, and<i> in silico </i>fatigue load. The results revealed that the AI algorithm can design a dental crown mimicking natural tooth morphology, such that the performance of load outweigh than other designs. The latter two studies examined the application of AI image segmentation. In the third study, the AI tool was used to quantitatively measure the initial bacterial adhesion on scanning electron microscope images. To evaluate the efficiency of different dental suction systems in the COVID-19 pandemic, in the fourth study this AI tool was used to measure the number and area of aerosols/droplets produced by a high-speed dental handpiece powered by an electrical surgical motor. The AI tool was shown to be accurate and efficient in measuring and detecting for these purposes, able to find a new relationship, and can be an alternative method in evaluation of initial bacterial adhesion and dental aerosol/droplet measurement.
DOI: 10.25442/hku.16896253.v1
title: Supporting data for Aspects of Artificial Intelligence (AI) in Dentistry

description: Four studies were conducted in this PhD project. In the first two studies, a novel AI algorithm with 3D-DCGAN for designing dental crowns was proposed and evaluated. Dental crowns designed by AI algorithm on pre-molars and molars were compared respectively to natural teeth, CEREC biogeneric design and technician design with the parameters of cusp angle, 3D volume discrepancy, occlusal contact point number and area, and<i> in silico </i>fatigue load. The results revealed that the AI algorithm can design a dental crown mimicking natural tooth morphology, such that the performance of load outweigh than other designs. The latter two studies examined the application of AI image segmentation. In the third study, the AI tool was used to quantitatively measure the initial bacterial adhesion on scanning electron microscope images. To evaluate the efficiency of different dental suction systems in the COVID-19 pandemic, in the fourth study this AI tool was used to measure the number and area of aerosols/droplets produced by a high-speed dental handpiece powered by an electrical surgical motor. The AI tool was shown to be accurate and efficient in measuring and detecting for these purposes, able to find a new relationship, and can be an alternative method in evaluation of initial bacterial adhesion and dental aerosol/droplet measurement.
DOI: 10.25442/hku.16910962
title: Supporting data for “Threats and Conservation of the Critically Endangered Helmeted Hornbill (Rhinoplax vigil)”

description: This genetic and morphological data was generated from Critically Endangered helmeted hornbill casques, which were seized by the Agricultural Fisheries and Conservation Department (AFCD) of Hong Kong SAR. The casques from this bird are illegally poached and illegally traded, and developing genetic and morphological protocols to identify them can aid conservation and enforcement efforts. <b>Chapter 1: </b>DNA samples taken from six <i>R. vigil </i>casques to test which extraction method (Q1), sampling method (Q2), and sampling location (Q3) resulted in the best quantity (DNA concentration ng/μL and quality DNA). DNA fasta sequences were generated for <i>R. vigil</i> and positive control <i>Rhyticeros undulatus</i> hornbills. Samples extracted using phenol-chloroform methods and using Qiagen DNeasy Blood and Tissue kit and an 800-bp of cytochrome B was amplified. <b>Chapter 2: </b>DNA concentrations and purities between replicate<i> Rhyticeros undulatus</i> hornbill faecal samples were extracted using phenol-chloroform and Qiagen stool kit methods and compared between storage media. A260/A280 and A260/A230 ratios which fall under target ranges optimal ranges of purity values are in bold. DNA concentrations (ng/µL) and purities (nm) (means and +/- standard deviations) and sequencing success (%) were also generated across faecal samples from <i>R. plicatus</i>, <i>B. bucinator</i>, <i>B. brevis</i>, <i>R. undulatus, </i>and<i> B. bicornis</i> extracted using the QIA method across storage times: day, week, month, and storage media. A260/A280 and A260/A230 ratios (showing DNA purity) which fall under target ranges optimal ranges of purity values are in bold. <b>Chapter 3. </b>Morphometrics were recorded for hornbill casques to the nearest 0.1 mm using digital callipers: weights (g), the top of casque to join at top of beak (A), the top of casque to bottom of beak (B), the width of beak-casque join (C), and the casque width between ridges (taken underneath ridge, D). Adults and juveniles were identified, and so were their sexes.
DOI: 10.25442/hku.16910962.v1
title: Supporting data for “Threats and Conservation of the Critically Endangered Helmeted Hornbill (Rhinoplax vigil)”

description: This genetic and morphological data was generated from Critically Endangered helmeted hornbill casques, which were seized by the Agricultural Fisheries and Conservation Department (AFCD) of Hong Kong SAR. The casques from this bird are illegally poached and illegally traded, and developing genetic and morphological protocols to identify them can aid conservation and enforcement efforts. <b>Chapter 1: </b>DNA samples taken from six <i>R. vigil </i>casques to test which extraction method (Q1), sampling method (Q2), and sampling location (Q3) resulted in the best quantity (DNA concentration ng/μL and quality DNA). DNA fasta sequences were generated for <i>R. vigil</i> and positive control <i>Rhyticeros undulatus</i> hornbills. Samples extracted using phenol-chloroform methods and using Qiagen DNeasy Blood and Tissue kit and an 800-bp of cytochrome B was amplified. <b>Chapter 2: </b>DNA concentrations and purities between replicate<i> Rhyticeros undulatus</i> hornbill faecal samples were extracted using phenol-chloroform and Qiagen stool kit methods and compared between storage media. A260/A280 and A260/A230 ratios which fall under target ranges optimal ranges of purity values are in bold. DNA concentrations (ng/µL) and purities (nm) (means and +/- standard deviations) and sequencing success (%) were also generated across faecal samples from <i>R. plicatus</i>, <i>B. bucinator</i>, <i>B. brevis</i>, <i>R. undulatus, </i>and<i> B. bicornis</i> extracted using the QIA method across storage times: day, week, month, and storage media. A260/A280 and A260/A230 ratios (showing DNA purity) which fall under target ranges optimal ranges of purity values are in bold. <b>Chapter 3. </b>Morphometrics were recorded for hornbill casques to the nearest 0.1 mm using digital callipers: weights (g), the top of casque to join at top of beak (A), the top of casque to bottom of beak (B), the width of beak-casque join (C), and the casque width between ridges (taken underneath ridge, D). Adults and juveniles were identified, and so were their sexes.
DOI: 10.25442/hku.16900542
title: Supporting Data for "Construct Structured Illumination with Optical Fibres for Microscopic Imaging"

description: This dataset contains raw experimental data in thesis "Construct Structured Illumination with Optical Fibres for Microscopic Imaging".
DOI: 10.6084/m9.figshare.16959621
title: Available data for analysis from Impairment effect of infantile coloration on face discrimination in chimpanzees

description: Data of the results
DOI: 10.6084/m9.figshare.16959621.v1
title: Available data for analysis from Impairment effect of infantile coloration on face discrimination in chimpanzees

description: Data of the results
DOI: 10.6084/m9.figshare.16959627
title: Statistic code from Impairment effect of infantile coloration on face discrimination in chimpanzees

description: R-code for statistics
DOI: 10.6084/m9.figshare.16959627.v1
title: Statistic code from Impairment effect of infantile coloration on face discrimination in chimpanzees

description: R-code for statistics
DOI: 10.6084/m9.figshare.16959637
title: Questionnaire Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile

description: This data set consist of questionnaire correlation of driving Stress with Fasting Blood Sugar Level and Lipid Profile<br>
DOI: 10.6084/m9.figshare.16959637.v1
title: Questionnaire Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile

description: This data set consist of questionnaire correlation of driving Stress with Fasting Blood Sugar Level and Lipid Profile<br>
DOI: 10.5517/ccdc.csd.cc28ysvw
title: CCDC 2114009: Experimental Crystal Structure Determination

description: Related Article: Yu-Jun Bai, Xiao-Mu Hu, Ya-Jun Bai, Xiao-Hui Zheng, Sheng-Yong Zhang, Ping-AnWang|2021|Tetrahedron|101|132511|doi:10.1016/j.tet.2021.132511
DOI: 10.6084/m9.figshare.16959640.v1
title: S0_L001_I1_001.fastq

description: FASTQ
DOI: 10.6084/m9.figshare.16959640
title: S0_L001_I1_001.fastq

description: FASTQ
DOI: 10.6084/m9.figshare.16959649
title: Information Sheet and Consent Form of Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile

description: This data set consist of Information sheet and consent form of Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile<br>
DOI: 10.6084/m9.figshare.16959649.v1
title: Information Sheet and Consent Form of Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile

description: This data set consist of Information sheet and consent form of Correlation of Driving Stress with Fasting Blood Sugar Level and Lipid Profile<br>
DOI: 10.4121/14579199.v2
title: Data underlying the paper 'Melamine degradation to bioregenerate granular activated carbon'

description: The description of the dataset is given in the REAME.txt file. Details about data collection are given in the published article (10.1016/j.jhazmat.2021.125503)
DOI: 10.4121/14579199
title: Data underlying the paper 'Melamine degradation to bioregenerate granular activated carbon'

description: The description of the dataset is given in the REAME.txt file. Details about data collection are given in the published article (10.1016/j.jhazmat.2021.125503)