cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/d9x7-6s86
title: Parkes observations for project P1207 semester 2023OCTS_01

description: Whether there is a large population of pulsars in the Bulge, millisecond pulsars in particular, is a long-standing problem. We recently carried out a survey of a small region toward the Bulge with the Five-hundred-meter Aperture Spherical Telescope (FAST) and discovered more than 10 pulsar candidates. Four bright pulsar candidates are estimated to have distances larger than 3kpc and are therefore likely located in the Bulge region. Considering the small number of pulsars we know in the Bulge, the determination of spin and astrometric parameters of these pulsars can be important for us to understand the pulsar population in the Bulge. These information can then be used to investigate the origin of Gamma-ray emission and the electron density distribution in the region. Here we propose to carry out confirmation observation of nine pulsar candidates and time those four bright ones (detected with S/N&gt;20, and with distance larger than 3kpc) with Parkes.
DOI: 10.25919/e1c4-cz83
title: Parkes observations for project P1281 semester 2023OCTS_04

description: The physical origins of Fast Radio Bursts (FRBs) have been highly debated in the past decade, until a bright radio burst from the Galactic magnetar was detected in 2020. The discovery of Galactic FRB has proved that at least some faint FRBs can originate from normal magnetars. Theoretically, young magnetar can give rise to wind nebula with persistent emission in radio band, while it has not been observed among the Galactic magnetars yet. So far, there are two active FRB repeaters confirmed to be associated with persistent radio sources, which are thought to be magnetar wind nebulae near the FRB progenitors. Recently, a special radio source, VT 1137-0337, was discovered in the VLA Sky Survey. All the observational facts strongly indicate its origin of magnetar wind nebula. We propose to observe this radio source with the Parkes UWL receiver to search for possible fast radio transients. If detection made, the PRS-FRB association would be strengthened deeply, and we would be able to directly uncover the nature of active repeaters.
DOI: 10.6084/m9.figshare.24770475
title: Additional file 1 of Does lower extremity alignment during normal stance predict lower limb kinematics and kinetics during drop landings?

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24770463
title: Additional file 1 of Patterns of surgical complications after delayed fixation of peripartum pubic symphysis rupture: a report of 5 cases

description: Additional file 1. Overview of the research on surgical treatment for pubic symphysis rupture during childbirth [61–65].
DOI: 10.6084/m9.figshare.24770463.v1
title: Additional file 1 of Patterns of surgical complications after delayed fixation of peripartum pubic symphysis rupture: a report of 5 cases

description: Additional file 1. Overview of the research on surgical treatment for pubic symphysis rupture during childbirth [61–65].
DOI: 10.5281/zenodo.10289675
title: Fluorescence image time series for pair correlation function analysis

description: Data files for the tutorial "Pair Correlation Function Analysis of Fluorescence Fluctuations in Big Image Time Series using Python", presented at the Big Data Image Processing & Analysis BigDIPA workshops 2016, 2017, and 2018.The Simulation_Channel.bin file contains the result of a simulation of fluorescent particles diffusing on a 64x64 grid. The grid contains a diagonal, 300 nm wide channel, which restricts free diffusion. The file was produced using the Globals for Images, SimFCS software. The array shape is (32000, 64, 64), the data type is uint16.The Simulation_Channel.ipcf.bin file contains the expected results of an ipCF analysis with 32 points at radius 6, and 32 bins. The array shape is (52, 52, 32, 30), the data type is float32.The nih3t3-egfp_2.zip dataset contains a time series of SPIM images of a biological cell. It consists 35,000 TIFF files of 1024x512 16-bit grayscale samples each, 34.5 GB total.
DOI: 10.5281/zenodo.10289676
title: Fluorescence image time series for pair correlation function analysis

description: Data files for the tutorial "Pair Correlation Function Analysis of Fluorescence Fluctuations in Big Image Time Series using Python", presented at the Big Data Image Processing & Analysis BigDIPA workshops 2016, 2017, and 2018.The Simulation_Channel.bin file contains the result of a simulation of fluorescent particles diffusing on a 64x64 grid. The grid contains a diagonal, 300 nm wide channel, which restricts free diffusion. The file was produced using the Globals for Images, SimFCS software. The array shape is (32000, 64, 64), the data type is uint16.The Simulation_Channel.ipcf.bin file contains the expected results of an ipCF analysis with 32 points at radius 6, and 32 bins. The array shape is (52, 52, 32, 30), the data type is float32.The nih3t3-egfp_2.zip dataset contains a time series of SPIM images of a biological cell. It consists 35,000 TIFF files of 1024x512 16-bit grayscale samples each, 34.5 GB total.
DOI: 10.5281/zenodo.10295100
title: Data from: Habitat diversification associated with urban development has a little effect on genetic structure in the annual native plant Commelina communis in an East Asian megacity

description: Basic statistics for each population and genetic and landscape data between populations.
DOI: 10.5281/zenodo.10295101
title: Data from: Habitat diversification associated with urban development has a little effect on genetic structure in the annual native plant Commelina communis in an East Asian megacity

description: Basic statistics for each population and genetic and landscape data between populations.
DOI: 10.5281/zenodo.7850749
title: Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"

description: Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"
DOI: 10.5281/zenodo.7850750
title: Data for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"

description: Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"
DOI: 10.5517/ccdc.csd.cc2c2qls
title: CCDC 2177365: Experimental Crystal Structure Determination

description: Related Article: Kiryl I. Trusau, Paula Jorge, Ana Catarina Sousa, Tiago A. Fernandes, Vânia André, Marina V. Kirillova, Andrew I. Usevich, Nuno Cerca, Alexander M. Kirillov|2023|RSC Sustainability|1|866|doi:10.1039/D2SU00150K
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.cc2c2qmt
title: CCDC 2177366: Experimental Crystal Structure Determination

description: Related Article: Kiryl I. Trusau, Paula Jorge, Ana Catarina Sousa, Tiago A. Fernandes, Vânia André, Marina V. Kirillova, Andrew I. Usevich, Nuno Cerca, Alexander M. Kirillov|2023|RSC Sustainability|1|866|doi:10.1039/D2SU00150K
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.cc2c2qnv
title: CCDC 2177367: Experimental Crystal Structure Determination

description: Related Article: Kiryl I. Trusau, Paula Jorge, Ana Catarina Sousa, Tiago A. Fernandes, Vânia André, Marina V. Kirillova, Andrew I. Usevich, Nuno Cerca, Alexander M. Kirillov|2023|RSC Sustainability|1|866|doi:10.1039/D2SU00150K
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: 10.26188/24770823
title: Claims in database_Nov2023.xlsx

description: Greenwashing cases in the Australian and Pacific Climate Litigation database as at November 2023.
DOI: 10.17909/vvwq-8284
title: COSMOS-Web JWST NIRCam imaging LAEs at z=5.7
DOI: 10.25910/vv3g-zr19
title: SPIS simulations with and without the thruster from 0.067 AU to 1 AU
DOI: 10.6084/m9.figshare.24770238
title: Classified & regression data set

description: In areas where livestock is bred, there is a demand for accurate, real-time, and stable monitoring of ammonia concentration in the breeding environment. Existing electronic nose systems, however, struggle with slow response times and limited detection accuracy. This paper introduces a novel solution: an active pumping ammonia detection system using artificial olfaction based on a biomimetic chamber. We analyzed the biomimetic chamber’s structure and the sensor array's surface airflow to determine the system’s sensing units. The system employs an electronic nose to detect ammonia and ethanol gases in a circulating airflow within a closed box. The captured signals underwent processing, followed by the application of classification and regression models for data prediction. Our results suggest that this system, leveraging the biomimetic chamber, offers rapid gas detection response times. Incorporating a backpropagation (BP) neural network algorithm, it realizes high classification prediction accuracy, with a determination coefficient R² value of 0.99 for single-output regression and over 0.98 for multi-output regression predictions. These outcomes demonstrate the system’s effectiveness in accurately detecting ammonia emitted during livestock fermentation, meeting the ammonia detection requirements of breeding farms.
DOI: 10.6084/m9.figshare.24770862
title: Sampling data set

description: In areas where livestock is bred, there is a demand for accurate, real-time, and stable monitoring of ammonia concentration in the breeding environment. Existing electronic nose systems, however, struggle with slow response times and limited detection accuracy. This paper introduces a novel solution: an active pumping ammonia detection system using artificial olfaction based on a biomimetic chamber. We analyzed the biomimetic chamber’s structure and the sensor array's surface airflow to determine the system’s sensing units. The system employs an electronic nose to detect ammonia and ethanol gases in a circulating airflow within a closed box. The captured signals underwent processing, followed by the application of classification and regression models for data prediction. Our results suggest that this system, leveraging the biomimetic chamber, offers rapid gas detection response times. Incorporating a backpropagation (BP) neural network algorithm, it realizes high classification prediction accuracy, with a determination coefficient R² value of 0.99 for single-output regression and over 0.98 for multi-output regression predictions. These outcomes demonstrate the system’s effectiveness in accurately detecting ammonia emitted during livestock fermentation, meeting the ammonia detection requirements of breeding farms.
DOI: 10.6084/m9.figshare.24770802
title: PROFILING OF SEPSIS PATIENTS IN THE EMERGENCY DEPARTMENT - A RETROSPECTIVE STUDY

description: Sepsis and septic shock are major healthcare problems, impacting millions of people around the world each year killing between one in three and one in six of those it affects[<sup>1</sup>].Infection-prevention efforts, including those targeting both community-acquired and health-care-associated infections, can reduce sepsis incidence. It is treatable, and timely implementation of targeted interventions improves outcomes.There are various scoring system like Sequential Organ Failure Assessment (SOFA), Modified Early Warning Score(MEWS), Rapid Emergency Medicine Score, APACHE II in early identification of sepsis. But in a resource limited setting, there is a need of early identification and initiation of treatment. Hence there is a need for clinical bedside scoring system to identify patients at risk for improving the outcomes as early administration of appropriate antimicrobials is one of the most effective interventions to reduce mortality in patients with sepsis.This retrospective study involved total of 305 patients who were admitted to Multidisciplinary ICU or High Dependence Unit from Emergency room for a period of 6 months. Of which 105 patients were suspected to have sepsis or identified in shock. The most common comorbid medical condition was found to be diabetes mellitus and respiratory symptoms accounted for majority of the cases.Timing of antibiotic in patients with suspected sepsis and patients with septic shock mean time of which was found to be 61 minutes and 53 minutes respectively which is compliant with the current recommendations.
DOI: 10.6084/m9.figshare.24770802.v1
title: PROFILING OF SEPSIS PATIENTS IN THE EMERGENCY DEPARTMENT - A RETROSPECTIVE STUDY

description: Sepsis and septic shock are major healthcare problems, impacting millions of people around the world each year killing between one in three and one in six of those it affects[<sup>1</sup>].Infection-prevention efforts, including those targeting both community-acquired and health-care-associated infections, can reduce sepsis incidence. It is treatable, and timely implementation of targeted interventions improves outcomes.There are various scoring system like Sequential Organ Failure Assessment (SOFA), Modified Early Warning Score(MEWS), Rapid Emergency Medicine Score, APACHE II in early identification of sepsis. But in a resource limited setting, there is a need of early identification and initiation of treatment. Hence there is a need for clinical bedside scoring system to identify patients at risk for improving the outcomes as early administration of appropriate antimicrobials is one of the most effective interventions to reduce mortality in patients with sepsis.This retrospective study involved total of 305 patients who were admitted to Multidisciplinary ICU or High Dependence Unit from Emergency room for a period of 6 months. Of which 105 patients were suspected to have sepsis or identified in shock. The most common comorbid medical condition was found to be diabetes mellitus and respiratory symptoms accounted for majority of the cases.Timing of antibiotic in patients with suspected sepsis and patients with septic shock mean time of which was found to be 61 minutes and 53 minutes respectively which is compliant with the current recommendations.
DOI: 10.5281/zenodo.10017462
title: Intrinsic versus wind-forced Great Whirl non-seasonal variability

description: These are the model outputs used for the study of Intrinsic versus wind-forced Great Whirl non-seasonal variability.The zipped folder contains the final processed outputs used, from OCCIPUT ensemble simulations (Penduff et al.,2014, Bessières et al., 2017; used by 15+ other publications) and LCS simulations (Suresh et al., 2013, 2016, 2018). References are listed in the references section.
DOI: 10.5281/zenodo.10017463
title: Intrinsic versus wind-forced Great Whirl non-seasonal variability

description: These are the model outputs used for the study of Intrinsic versus wind-forced Great Whirl non-seasonal variability.The zipped folder contains the final processed outputs used, from OCCIPUT ensemble simulations (Penduff et al.,2014, Bessières et al., 2017; used by 15+ other publications) and LCS simulations (Suresh et al., 2013, 2016, 2018). References are listed in the references section.
DOI: 10.6084/m9.figshare.24770901
title: EcoTest

description: Full Name: AssureTech EcoTest COVID-19 IgG/IgM Antibody Test kit (abbr. BTNx for Pre-Training)organization: raw images, cropped membranes, config: label & cropping dimension<br>
DOI: 10.6084/m9.figshare.24770916
title: Annotated data sets used for fine-tuning the model

description: Annotated data sets used for fine-tuning the model
DOI: 10.5281/zenodo.10297391
title: Plagiarm SME Performance Following the COVID-19 Pandemic and the Effect of Environmental Analysis on Green Business Strategy

description: Plagiarm SME Performance Following the COVID-19 Pandemic and the Effect of Environmental Analysis on Green Business Strategy
DOI: 10.5281/zenodo.10297392
title: Plagiarm SME Performance Following the COVID-19 Pandemic and the Effect of Environmental Analysis on Green Business Strategy

description: Plagiarm SME Performance Following the COVID-19 Pandemic and the Effect of Environmental Analysis on Green Business Strategy
DOI: 10.34683/sr1702
title: StoneRounds Case: SR1702
title: Pseudoxanthoma Elasticum

description: StoneRounds Case SR1702 was diagnosed with Pseudoxanthoma Elasticum likely caused by mutations in the gene: ABCC6.
DOI: 10.5517/ccdc.csd.cc2ghqvk
title: CCDC 2279239: Experimental Crystal Structure Determination

description: Related Article: Ganesh H. Shinde, Ganesh S. Ghotekar, Francoise M. Amombo Noa, Lars Öhrström, Per-Ola Norrby, Henrik Sundén|2023|Chemical Science|14|13429|doi:10.1039/D3SC04628A
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.cc2gpj90
title: CCDC 2284802: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjb1
title: CCDC 2284803: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjc2
title: CCDC 2284804: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjd3
title: CCDC 2284805: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjf4
title: CCDC 2284806: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjg5
title: CCDC 2284807: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjh6
title: CCDC 2284808: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpjj7
title: CCDC 2284809: Experimental Crystal Structure Determination

description: Related Article: Jiahao Rao, Shicheng Dong, Chengbo Yang, Qing Liu, Xuebing Leng, Dongyang Wang, Jun Zhu, Liang Deng|2023|J.Am.Chem.Soc.|145|25766|doi:10.1021/jacs.3c09280
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.cc2gpy04
title: CCDC 2285196: Experimental Crystal Structure Determination

description: Related Article: Rakesh Deka, Shashank Rathi, Shaikh M. Mobin|2023|Energy Adv|2|2119|doi:10.1039/D3YA00378G
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.