cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21218029.v1
title: Finite mixtures of multivariate Wrapped Normal distributions for model based clustering of <i>p</i>-torus data

description: We consider a finite mixture model of multivariate Wrapped Normal distributions to handle non homogeneous circular data on a p−dimensional torus (p≥2). The Wrapped Normal distribution is a valid alternative to model multivariate circular or directional data on a p−torus. Parameter estimation is carried out through a nested (classification) EM algorithm, by exploiting the ideas of unwrapping circular data. The source of incompleteness in the outer E-step is represented by unobserved group memberships, whereas the source of incompleteness in the inner E-step is given by the unobserved vectors of wrapping coefficients. The finite sample behavior of the proposed method has been investigated by Monte Carlo numerical studies and real data examples. Supplemental materials for the article, including data and R codes for implementing methods, running simulations and replicate data analyses, are available online.
DOI: 10.25919/ka55-h576
title: Parkes observations for project PX600 semester 2020APRS_77

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.25919/vjcd-7m74
title: Parkes observations for project P455 semester 2022APRS_06

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Recent results, including the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit, highlight the importance of a long term observational campaign for this remarkable system. The main aims of this proposal are to exploit the high sensitivity of the UWL receiver to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will search for the reappearance of the B pulsar.
DOI: 10.25909/21163195.v2
title: Anisotropic force-matching coarse-graining with neural networks data files

description: Simulation files for all-atom simulation of benzene. neural network architecture
DOI: 10.5281/zenodo.7117636
title: gallinago_stenura_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7117635
title: gallinago_stenura_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7117677
title: gallinago_delicata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7117676
title: gallinago_delicata_zanfona_1.fasta.gz

description: .
DOI: 10.48366/r219046
title: Artificial Neural Network-based DDoS defence solutions in SDN

description: The Artificial Neural Networks (ANN) have self-learning, selforganization, better fault tolerance and robustness, parallelism as of its advantages, so it got the attention of many researchers. ANN is used by many fellow researchers in detection of DDoS attacks as it can identify not only existing attack patterns but also unknown attack patterns. These techniques improve the intelligence and adaptability of intrusion detection systems (IDS). Self Organizing Maps (SOM), exact-STORM, Back Propagation Neural Network (BPNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM) are some efficient algorithms used by many researchers to detect DDoS attacks in networks based on software-defined networking. This is a comparison of the state-of-the-art DDoS defence solutions in SDN using ANNs.
DOI: 10.5517/ccdc.csd.cc28nktb
title: CCDC 2105142: Experimental Crystal Structure Determination

description: Related Article: Meiqi Li, Yiming Liu, Yong Jian Zhang|2022|Org.Lett.|24|6716|doi:10.1021/acs.orglett.2c02437
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.cc29105k
title: CCDC 2116127: Experimental Crystal Structure Determination

description: Related Article: Zhengyu Fang, Baoxi Zhang, Wenhui Xing, Hongmei Yu, Cheng Xing, Ningbo Gong, Yang Lu, Guanhua Du|2022|J.Pharm.Sci.|111|2839|doi:10.1016/j.xphs.2022.05.009
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.cc29106l
title: CCDC 2116128: Experimental Crystal Structure Determination

description: Related Article: Zhengyu Fang, Baoxi Zhang, Wenhui Xing, Hongmei Yu, Cheng Xing, Ningbo Gong, Yang Lu, Guanhua Du|2022|J.Pharm.Sci.|111|2839|doi:10.1016/j.xphs.2022.05.009
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.cc29108n
title: CCDC 2116130: Experimental Crystal Structure Determination

description: Related Article: Zhengyu Fang, Baoxi Zhang, Wenhui Xing, Hongmei Yu, Cheng Xing, Ningbo Gong, Yang Lu, Guanhua Du|2022|J.Pharm.Sci.|111|2839|doi:10.1016/j.xphs.2022.05.009
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.cc29109p
title: CCDC 2116131: Experimental Crystal Structure Determination

description: Related Article: Zhengyu Fang, Baoxi Zhang, Wenhui Xing, Hongmei Yu, Cheng Xing, Ningbo Gong, Yang Lu, Guanhua Du|2022|J.Pharm.Sci.|111|2839|doi:10.1016/j.xphs.2022.05.009
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: 10.13020/x4rh-tv45
title: Strain effect on the ground-state crystal structure of Sr2SnO4 Ruddlesden-Popper oxides

description: Simulation data for a manuscript 'Strain effect on the ground-state structure of Sr2SnO4 Ruddlesden-Popper oxides'. Key data including structures and input files for structural relaxation and phonon calculation of various phases in Sr2SnO4 are included.
description: Structure and input files for the first-principles calculations.
DOI: 10.25422/azu.data.19495178
title: Data and Code for "Rock glacier composition and structure from radio wave speed analysis with dipping reflector correction"

description: This is the supplementary dataset for the manuscript titled <em>Rock glacier composition and structure from radio wave speed analysis with dipping reflector correction</em>, published in the Journal of Glaciology. This dataset contains image files of the ground-penetrating radar sections collected at our study sites, comma-separated interpretation files containing our picks for the radar reflectors, shapefiles of these picks for mapping, MATLAB code used to analyze the radio wave speed and volumetric ice fraction from these measurements, and image files of the figures presented in the main text and supplementary pdf document. The intention for this dataset is to publicly release all of the data and methods that we used so that our results may be reviewed and reproduced, if needed. <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.6084/m9.figshare.21218117
title: MeWo_BigBed.bb

description: BigBed
DOI: 10.6084/m9.figshare.21218117.v1
title: MeWo_BigBed.bb

description: BigBed
DOI: 10.5281/zenodo.7117726
title: Citizen Science Initiatives in Belgium

description: This dataset contains original mapping data developed in the process of the Belgiuam Citizen Science landscape review. In total, 31 German Citizen Science projects were analysed according to a common framework. During the mapping process, we weren’t always able to find information on things that interested us e.g. project impact, stakeholder engagement, the size of the volunteering force. But just because we couldn’t find something does not mean the results or activities did not happen. It goes without saying that absence of evidence is not evidence of absence. Failure to find some information on our part can be explained by the fact that we worked primarily with internet sources, so we had to make do with whatever publicly available information we could find within reasonable time.
DOI: 10.5281/zenodo.7117725
title: Citizen Science Initiatives in Belgium

description: This dataset contains original mapping data developed in the process of the Belgiuam Citizen Science landscape review. In total, 31 German Citizen Science projects were analysed according to a common framework. During the mapping process, we weren’t always able to find information on things that interested us e.g. project impact, stakeholder engagement, the size of the volunteering force. But just because we couldn’t find something does not mean the results or activities did not happen. It goes without saying that absence of evidence is not evidence of absence. Failure to find some information on our part can be explained by the fact that we worked primarily with internet sources, so we had to make do with whatever publicly available information we could find within reasonable time.
DOI: 10.48366/r219085
title: DDoS defense solutions in SDN (excluding AI, information theory methods)

description: Apart from machine-learning, neural network and information theory techniques, many researchers used other proficient methods such as SYN cookie algorithm, TRW-CB, Rate Limiting, Graph theory, Queuing Theory, Bloom Filters, and Cumulative Sums etc., for detection and mitigation of DDoS attack in SDN. This is a comparison of the aforementioned state-of-the-art methods.
DOI: 10.18112/openneuro.ds003020.v1.0.5
title: An fMRI dataset during a passive natural language listening task
DOI: 10.5517/ccdc.csd.cc2bhcks
title: CCDC 2159725: Experimental Crystal Structure Determination

description: Related Article: Amelia M Wheaton, Jill Ann Chipman, Michael D Roy, John F. Berry|2022|Inorg.Chem.|61|15058|doi:10.1021/acs.inorgchem.2c02118
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.cc2bhclt
title: CCDC 2159726: Experimental Crystal Structure Determination

description: Related Article: Amelia M Wheaton, Jill Ann Chipman, Michael D Roy, John F. Berry|2022|Inorg.Chem.|61|15058|doi:10.1021/acs.inorgchem.2c02118
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.cc2bhcmv
title: CCDC 2159727: Experimental Crystal Structure Determination

description: Related Article: Amelia M Wheaton, Jill Ann Chipman, Michael D Roy, John F. Berry|2022|Inorg.Chem.|61|15058|doi:10.1021/acs.inorgchem.2c02118
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.cc2bhcnw
title: CCDC 2159728: Experimental Crystal Structure Determination

description: Related Article: Amelia M Wheaton, Jill Ann Chipman, Michael D Roy, John F. Berry|2022|Inorg.Chem.|61|15058|doi:10.1021/acs.inorgchem.2c02118
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: 10.23641/asha.21158878
title: Disparities in early childhood acquired brain injury (Riccardi & Lundine, 2022)

description: <strong>Purpose: </strong>While health care and educational disparities are known to impact minoritized groups, few research studies have been conducted to examine disparities after childhood acquired brain injury (ABI). The purpose of this study was to explore child and injury factors (i.e., race, socioeconomic status, and length of hospital stay) associated with referral, parent education, and long-term need for children who experienced an early childhood ABI. <strong>Method: </strong>This study was a secondary analysis of data collected through retrospective cohort chart review and prospective caregiver phone surveys. <strong>Results:</strong> Exploratory logistic regressions indicated a statistically significant association between child and injury factors and (a) referral to rehabilitation or educational services at hospital discharge (<em>p</em> &lt; .001) and (b) caregiver-reported long-term needs (including both met and unmet needs) for special education services (<em>p</em> = .009). The models for caregiver-reported receipt of education on ABI and caregiver-reported unmet need for special education were not significant. For both significant models, there were no significant individual predictors. <strong>Conclusions:</strong> Differences in acute and long-term service provision and need after childhood ABI are likely influenced by a complex interaction of individual, injury, and social–environmental factors. Future research should consider how health care and education practice and policy might account for these interactions to support more equitable access to and utilization of services to improve long-term outcomes for all children with ABI. <strong>Supplemental Material S1. </strong>Data collected from participant medical records and phone surveys. Riccardi, J. S., & Lundine, J. (2022). An exploratory study on disparities in service provision and long-term need after early childhood acquired brain injury. <em>American Journal of Speech-Language Pathology</em>. Advance online publication. https://doi.org/10.1044/2022_AJSLP-22-00056
DOI: 10.23641/asha.21158878.v1
title: Disparities in early childhood acquired brain injury (Riccardi & Lundine, 2022)

description: <strong>Purpose: </strong>While health care and educational disparities are known to impact minoritized groups, few research studies have been conducted to examine disparities after childhood acquired brain injury (ABI). The purpose of this study was to explore child and injury factors (i.e., race, socioeconomic status, and length of hospital stay) associated with referral, parent education, and long-term need for children who experienced an early childhood ABI. <strong>Method: </strong>This study was a secondary analysis of data collected through retrospective cohort chart review and prospective caregiver phone surveys. <strong>Results:</strong> Exploratory logistic regressions indicated a statistically significant association between child and injury factors and (a) referral to rehabilitation or educational services at hospital discharge (<em>p</em> &lt; .001) and (b) caregiver-reported long-term needs (including both met and unmet needs) for special education services (<em>p</em> = .009). The models for caregiver-reported receipt of education on ABI and caregiver-reported unmet need for special education were not significant. For both significant models, there were no significant individual predictors. <strong>Conclusions:</strong> Differences in acute and long-term service provision and need after childhood ABI are likely influenced by a complex interaction of individual, injury, and social–environmental factors. Future research should consider how health care and education practice and policy might account for these interactions to support more equitable access to and utilization of services to improve long-term outcomes for all children with ABI. <strong>Supplemental Material S1. </strong>Data collected from participant medical records and phone surveys. Riccardi, J. S., & Lundine, J. (2022). An exploratory study on disparities in service provision and long-term need after early childhood acquired brain injury. <em>American Journal of Speech-Language Pathology</em>. Advance online publication. https://doi.org/10.1044/2022_AJSLP-22-00056
DOI: 10.24431/rw1k6cr
title: Stable carbon, nitrogen , and sulfur isotope data for lower trophic level producers and consumers in Kachemak Bay, AK NSF EPSCoR Fire and Ice, 2019-2020

description: The dataset contains stable carbon, nitrogen, and sulfur isotope data as well as carbon and nitrogen concentrations of multiple terrestrial and marine primary producers and various species of marine nearshore consumers. The data are from various watersheds in Kachemak Bay, northern Gulf of Alaska. These watersheds differ by the level of glacial cover. Samples were collected during three time periods of glacial discharge characterized as baseflow (~May/June), peak flow (~July), and post-peak flow (~September) between 2018-2023.
DOI: 10.5517/ccdc.csd.cc2bt82j
title: CCDC 2169227: Experimental Crystal Structure Determination

description: Related Article: Na Qiao, Xiao-Yan Xin, Xiao-Fen Guan, Chen-Xi Zhang, Wen-Min Wang|2022|Inorg.Chem.|61|15098|doi:10.1021/acs.inorgchem.2c02180
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.cc2bt87p
title: CCDC 2169232: Experimental Crystal Structure Determination

description: Related Article: Na Qiao, Xiao-Yan Xin, Xiao-Fen Guan, Chen-Xi Zhang, Wen-Min Wang|2022|Inorg.Chem.|61|15098|doi:10.1021/acs.inorgchem.2c02180
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.cc2bt8bs
title: CCDC 2169235: Experimental Crystal Structure Determination

description: Related Article: Na Qiao, Xiao-Yan Xin, Xiao-Fen Guan, Chen-Xi Zhang, Wen-Min Wang|2022|Inorg.Chem.|61|15098|doi:10.1021/acs.inorgchem.2c02180
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.cc2c1wmy
title: CCDC 2176560: Experimental Crystal Structure Determination

description: Related Article: Xin Wang, Jinhuan Dong, Tengteng Wu, Xianxiu Xu, Bo Tang|2022|Org.Lett.|24|6700|doi:10.1021/acs.orglett.2c02192
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.cc2c1wnz
title: CCDC 2176561: Experimental Crystal Structure Determination

description: Related Article: Xin Wang, Jinhuan Dong, Tengteng Wu, Xianxiu Xu, Bo Tang|2022|Org.Lett.|24|6700|doi:10.1021/acs.orglett.2c02192
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.cc2cgyvn
title: CCDC 2189122: Experimental Crystal Structure Determination

description: Related Article: Defu Sun, Duanliang Wang, Hanzhang Chen, Ruoxian Hou, Yangyang Dang, Kui Wu, Jiyang Wang, Chuanying Shen|2022|Inorg.Chem.|61|15247|doi:10.1021/acs.inorgchem.2c02433
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.cc2cmwzw
title: CCDC 2193869: Experimental Crystal Structure Determination

description: Related Article: Linkun Miao, Amir Yeganeh-Salman, Jason Yeung, Douglas W. Stephan|2022|Dalton Trans.|51|14049|doi:10.1039/D2DT02855G
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.