cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25375/uct.22551073.v1
title: REDUCED ORDER MODELLING AND BIOCHEMICAL PATIENT-SPECIFICITY IN A COMPUTATIONAL MODEL OF CEREBRAL ANEURYSM THROMBOSIS: TOWARDS CLINICAL APPLICABILITY

description: The files contain data on thrombin and fibrin concentration, velocity and clot size for haemophilliac, healthy and thrombotic patients. Computational fluid dynamics (CFD) models of cerebral aneurysm thrombosis are patient-specific insofar as geometry and haemodynamics are concerned. The biochemical reactions that result in clotting require considerable resources to fit all parameters on a per patient or population basis. Furthermore, translation of these CFD models to clinical contexts is limited by model complexity and computational cost. In this study, we present a model that couples results from a calibrated automated thrombogram (CAT), an in vitro test that is used to determine clotting function on a per patient basis, with CFD. The CAT data was fitted into population-specific biochemical profiles of haemophiliac, healthy and thrombotic patients, and applied to the aneurysmal wall of a 2D idealized geometry. There was faster clot growth in the thrombotic case, followed by the normal and haemophiliac cases, respectively. Complex vorticial structures formed as the different clots evolved. The patterns in clot growth, distribution of thrombin and fibrin, and velocity profile showed that there is a strong link between haemodynamics and biochemistry. The model was verified by comparing it to experimental results, and it successfully captured the qualitative features of in vitro clotting. Polynomial and logistic regression machine learning algorithms were used to develop a reduced order model from CFD results. This model is relatively simple but would have far greater utility in a clinical context as it does not require solution of numerical methods or specialized CFD training.
DOI: 10.18168/bgi.1
title: Global land gravity database
DOI: 10.18168/bgi.2
title: Global marine gravity database
DOI: 10.21227/e0gj-ev03
title: 5GC PFCP Intrusion Detection Dataset

description: The advancements in the field of telecommunications have resulted in an increasing demand for robust, high-speed, and secure connections between User Equipment (UE) instances and the Data Network (DN). The implementation of the newly defined 3rd Generation Partnership Project 3GPP (3GPP) network architecture in the 5G Core (5GC) represents a significant leap towards fulfilling these demands. This architecture promises faster connectivity, low latency, higher data transfer rates, and improved network reliability. 5GC has been designed to support a wide range of critical Next Generation Internet of Things (NG-IoT) and industrial use cases that require reliable end-to-end communication services. However, this evolution raises severe security issues. In the context of the SANCUS1 project, a set of cyberattacks were investigated and emulated by K3Y against the Packet Forwarding Control Protocol (PFCP) between the Session Management Function (SMF) and the User Plane Function (UPF). Based on these attacks, an intrusion detection dataset was generated: 5GC PFCP Intrusion Detection Dataset that can support the development of Artificial Intelligence (AI)-powered Intrusion Detection Systems (IDS) that use Machine Learning (ML) and Deep Learning (DL) techniques. The goal of this report is to describe this dataset.
DOI: 10.5281/zenodo.7876209
title: Ultrasound Stochastic Tomography simulation data for In-silico 2D Breast Phantom model with tumour

description: An anatomically realistic numerical breast phantom model (with realistic acoustic properties of speed of sound, density, and attenuation coefficient of tissues) derived from [1] is presented with details of a ultrasound tomography experiment in simulation. Details of source wavelets, geometry of transducer set, observed data at each transducer for each shots are provided with phantom model. References [1] https://anastasio.bioengineering.illinois.edu/downloadable-content/oa-breast-database/
description: {"references": ["https://anastasio.bioengineering.illinois.edu/downloadable-content/oa-breast-database/", "https://wustl.app.box.com/s/rqivtin0xcofjwlkz43acou8jknsbfx8", "Lou Y, Zhou W, Matthews TP, Appleton CM, Anastasio MA. Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging. J Biomed Opt. 2017 Apr 1;22(4):41015. doi: 10.1117/1.JBO.22.4.041015. PMID: 28138689; PMCID: PMC5282404. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282404/pdf/JBO-022-041015.pdf"]}
DOI: 10.5281/zenodo.7876210
title: Ultrasound Stochastic Tomography simulation data for In-silico 2D Breast Phantom model with tumour

description: An anatomically realistic numerical breast phantom model (with realistic acoustic properties of speed of sound, density, and attenuation coefficient of tissues) derived from [1] is presented with details of a ultrasound tomography experiment in simulation. Details of source wavelets, geometry of transducer set, observed data at each transducer for each shots are provided with phantom model. References [1] https://anastasio.bioengineering.illinois.edu/downloadable-content/oa-breast-database/
description: {"references": ["https://anastasio.bioengineering.illinois.edu/downloadable-content/oa-breast-database/", "https://wustl.app.box.com/s/rqivtin0xcofjwlkz43acou8jknsbfx8", "Lou Y, Zhou W, Matthews TP, Appleton CM, Anastasio MA. Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging. J Biomed Opt. 2017 Apr 1;22(4):41015. doi: 10.1117/1.JBO.22.4.041015. PMID: 28138689; PMCID: PMC5282404. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282404/pdf/JBO-022-041015.pdf"]}
DOI: 10.48331/scielo.6u6qa2/b71ksx
title: 2023-04-20-COPIM-SciELOBooks-AmandaRamalho.pptx

description: :unav
DOI: 10.6084/m9.figshare.22725704
title: Male Interview Transcripts

description: Interview Transcripts of 12 male participants in my research study exploring their perceptions of romance and the dating culture.
DOI: 10.6084/m9.figshare.22731173
title: Female Interview Transcripts

description: Interview Transcripts of 12 female participants in my research study exploring their perceptions of romance and the dating culture.
DOI: 10.34740/kaggle/dsv/5582435
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.22731080.v1
title: Bioassay data

description: Results from bioassays with tests of insecticide susceptibility in populations of the grape berry moth, Paralobesia viteana.
DOI: 10.6084/m9.figshare.22707655
title: Evolutionary progression of a key enzyme in the biosynthesis of bacteriophage Z-genome

description: Bioinformatics-related data
DOI: 10.6084/m9.figshare.22707655.v1
title: Evolutionary progression of a key enzyme in the biosynthesis of bacteriophage Z-genome

description: Bioinformatics-related data
DOI: 10.5281/zenodo.7886030
title: sequenced cfDNA samples, extracted DoC for TSSs (HK + PAU) and TFBSs (LYL1 and GRHL2)

description: File contains CSV files which store depth of coverage values (cfDNA fragment's central 60 bp if length &gt; 60 bp; entire fragment otherwise) extracted from 4 samples (sample BAM files deposited at the European Genome Phenome Archive, accession: EGAS00001006963) before and after correction of sample specific GC sequence content bias (GC bias) by GCparagon software using a custom Pysam implementation. The Pysam implementation can read alignment tags for DoC computation which is required for the signal after bias correction. Extracted loci are top 10k reported transcription factor binding sites for LYL1 and GRHL2 as well as transcription start sites of housekeeping genes (HK genes) and unexpressed genes as assessed from the Protein atlas (PAU genes).<br> Pysam implementation by Kapidzic Faruk can be found here: https://github.com/Faruk-K/pysam Linked to the GCparagon tool code repository which is available on GitHub. For details see publication which is linked to the EGA dataset and the GitHub repository. (not published at moment of submission to Zenodo)
DOI: 10.5281/zenodo.7886029
title: sequenced cfDNA samples, extracted DoC for TSSs (HK + PAU) and TFBSs (LYL1 and GRHL2)

description: File contains CSV files which store depth of coverage values (cfDNA fragment's central 60 bp if length &gt; 60 bp; entire fragment otherwise) extracted from 4 samples (sample BAM files deposited at the European Genome Phenome Archive, accession: EGAS00001006963) before and after correction of sample specific GC sequence content bias (GC bias) by GCparagon software using a custom Pysam implementation. The Pysam implementation can read alignment tags for DoC computation which is required for the signal after bias correction. Extracted loci are top 10k reported transcription factor binding sites for LYL1 and GRHL2 as well as transcription start sites of housekeeping genes (HK genes) and unexpressed genes as assessed from the Protein atlas (PAU genes).<br> Pysam implementation by Kapidzic Faruk can be found here: https://github.com/Faruk-K/pysam Linked to the GCparagon tool code repository which is available on GitHub. For details see publication which is linked to the EGA dataset and the GitHub repository. (not published at moment of submission to Zenodo)
DOI: 10.48331/scielo.eoz0zu/bmkrha
title: 20230329-Publicient2023-AmandaRamalho.pptx

description: :unav
DOI: 10.21227/qjzt-x992
title: Melody playback with electric drive

description: Audio with melody "Pervim delom samoleti" ("Airplaines first" in Russian) record playback was implemented with electric drive
DOI: 10.15129/95db013c-d082-4aa9-a8ce-43b60568087d
title: An assessment of run of river hydropower potential in Great Britain

description: The input data used to determine the run of river hydropower potential in GB
DOI: 10.5281/zenodo.7817642
title: Data used for global TEC forecasting for space weather application based on deep learning techniques: a comparative study and considerations for real-time implementation

description: This dataset contains the measurements of TEC from Global Ionospheric Maps (GIMs), provided by the International GNSS Service (IGS), as the target parameter and the global geomagnetic Kp index as the external input. This data set is composed of samples from 2005 to 2017. The datasets have been curated to obtain the same resolution (2 hs) of the two parameters.
DOI: 10.5281/zenodo.7817641
title: Data used for global TEC forecasting for space weather application based on deep learning techniques: a comparative study and considerations for real-time implementation

description: This dataset contains the measurements of TEC from Global Ionospheric Maps (GIMs), provided by the International GNSS Service (IGS), as the target parameter and the global geomagnetic Kp index as the external input. This data set is composed of samples from 2005 to 2017. The datasets have been curated to obtain the same resolution (2 hs) of the two parameters.
DOI: 10.6084/m9.figshare.21548340
title: Datos trabajo CLAVOS

description: Data of hip fractures, surgery withj nails, comparison between gamma versus intertan
DOI: 10.6084/m9.figshare.21548340.v1
title: Datos trabajo CLAVOS

description: Data of hip fractures, surgery withj nails, comparison between gamma versus intertan
DOI: 10.6084/m9.figshare.21548340.v2
title: Datos trabajo CLAVOS

description: Data of hip fractures, surgery withj nails, comparison between gamma versus intertan
DOI: 10.18112/openneuro.ds004513.v1.0.1
title: The energetic costs of the human connectome
DOI: 10.23729/24986d9b-fff1-4cb7-87b5-467d1873369d
title: Data and model for Biomass and sustainable yields of Eurasian perch (Perca fluviatilis) in small boreal lakes with respect to lake properties and water quality
title: Data ja mallinnusaineisto liittyen julkaisuun Biomass and sustainable yields of Eurasian perch (Perca fluviatilis) in small boreal lakes with respect to lake properties and water quality
title: Data och modelleringmaterial för publikationen Biomass and sustainable yields of Eurasian perch (Perca fluviatilis) in small boreal lakes with respect to lake properties and water quality

description: Primary data, model software, model parameters, partial source code and simulation results for a study evaluating sustainable fisheries yields of Eurasian perch in boreal lakes. Data cover small lakes in Lieksa and Evo areas in Finland.
description: Alkuperäisaineistot, malliohjelma, malliparametrit, osittainen lähdekoodi ja simulaatiotulokset tutkimukselle, jossa arvioidaan potentiaalisia pienten boreaalisten järvien ahvensaaliita. Aineisto kattaa pieniä metsäjärviä Lieksassa sekä Evolla Suomessa.
description: Mätningdata, modellering-mjukvara, parametrar, delvis källkod och simulation resultater för en studie, som utvärderar potential abborrefångster från små sjöar. Data innehåller sjöar från Lieksa och Evo område.
DOI: 10.6084/m9.figshare.22730543.v1
title: Source Data

description: Source Code of the manuscript Nie et al., "Single-cell meta-analysis of inflammatory bowel disease with scIBD".
DOI: 10.5517/ccdc.csd.cc2bsnc5
title: CCDC 2168647: Experimental Crystal Structure Determination

description: Related Article: Harsh S. Shah, Jiuchuang Yuan, Tian Xie, Zhuocen Yang, Chao Chang, Chandler Greenwell, Qun Zeng, GuangXu Sun, Brandon N. Read, Timothy S. Wilson, Henry U. Valle, Shanming Kuang, Jian Wang, Sivakumar Sekharan, Jessica F. Bruhn|2023|Chem.-Eur.J.|29|e202203970|doi:10.1002/chem.202203970
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.cc2bz7sc
title: CCDC 2174023: Experimental Crystal Structure Determination

description: Related Article: Harsh S. Shah, Jiuchuang Yuan, Tian Xie, Zhuocen Yang, Chao Chang, Chandler Greenwell, Qun Zeng, GuangXu Sun, Brandon N. Read, Timothy S. Wilson, Henry U. Valle, Shanming Kuang, Jian Wang, Sivakumar Sekharan, Jessica F. Bruhn|2023|Chem.-Eur.J.|29|e202203970|doi:10.1002/chem.202203970
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.cc2chggt
title: CCDC 2189606: Experimental Crystal Structure Determination

description: Related Article: Ondřej Mrózek, Mousree Mitra, Bejamin Hupp, Andrey Belyaev, Nora Lüdtke, Dorothee Wagner, Cui Wang, Oliver S. Wenger, Christel M. Marian, Andreas Steffen|2023|Chem.-Eur.J.|29|e202203980|doi:10.1002/chem.202203980
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.cc2cpvwt
title: CCDC 2195757: Experimental Crystal Structure Determination

description: Related Article: Christian R. S. Maior, Paulo C. S. Costa, Carolina B. P. Ligiéro, Lygia S. de Moraes, Gustavo R. Sousa Jr,  Sidney G. Lima,  Pierre M. Esteves, Paulo C. M. L. Miranda|2023|Chem.-Eur.J.|29|e202203731|doi:10.1002/chem.202203731
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.cc2cpvxv
title: CCDC 2195758: Experimental Crystal Structure Determination

description: Related Article: Christian R. S. Maior, Paulo C. S. Costa, Carolina B. P. Ligiéro, Lygia S. de Moraes, Gustavo R. Sousa Jr,  Sidney G. Lima,  Pierre M. Esteves, Paulo C. M. L. Miranda|2023|Chem.-Eur.J.|29|e202203731|doi:10.1002/chem.202203731
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.cc2cpvyw
title: CCDC 2195759: Experimental Crystal Structure Determination

description: Related Article: Christian R. S. Maior, Paulo C. S. Costa, Carolina B. P. Ligiéro, Lygia S. de Moraes, Gustavo R. Sousa Jr,  Sidney G. Lima,  Pierre M. Esteves, Paulo C. M. L. Miranda|2023|Chem.-Eur.J.|29|e202203731|doi:10.1002/chem.202203731
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.cc2cpw10
title: CCDC 2195762: Experimental Crystal Structure Determination

description: Related Article: Christian R. S. Maior, Paulo C. S. Costa, Carolina B. P. Ligiéro, Lygia S. de Moraes, Gustavo R. Sousa Jr,  Sidney G. Lima,  Pierre M. Esteves, Paulo C. M. L. Miranda|2023|Chem.-Eur.J.|29|e202203731|doi:10.1002/chem.202203731
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.cc2dfjky
title: CCDC 2217540: Experimental Crystal Structure Determination

description: Related Article: Zhen An, Rong-Meng Liao, Hai-Quan Yao, Yan Cheng, Bing-Jun Zhu, Jian-Rong Li, Heng-Yun Ye|2023|Eur.J.Inorg.Chem.|26|e202200740|doi:10.1002/ejic.202200740
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.cc2dkxqm
title: CCDC 2221761: Experimental Crystal Structure Determination

description: Related Article: Suman Adhikari, Afzal Hussain Sheikh, Sevgi Kansız, Necmi Dege, Nabajyoti Baildya, Ghodrat Mahmoudi, Nurul Alam Choudhury, Raymond J. Butcher, Werner Kaminsky, Savannah Talledo, Eric M. Lopato, Stefan Bernhard, Julia Kłak|2023|J.Mol.Struct.|1285|135481|doi:10.1016/j.molstruc.2023.135481
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.cc2dm5rz
title: CCDC 2222971: Experimental Crystal Structure Determination

description: Related Article: Zhen An, Rong-Meng Liao, Hai-Quan Yao, Yan Cheng, Bing-Jun Zhu, Jian-Rong Li, Heng-Yun Ye|2023|Eur.J.Inorg.Chem.|26|e202200740|doi:10.1002/ejic.202200740
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.cc2dn3ls
title: CCDC 2223865: Experimental Crystal Structure Determination

description: Related Article: Kaiyue Song, Lingling Du, Guoli Yue, Tao Li, Haohong Li, Shoutian Zheng, Zhirong Chen, Huidong Zheng|2023|J.Colloid Interface Sci.|642|408|doi:10.1016/j.jcis.2023.03.192
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: 10.48331/scielodata.bgiqsn/9gnzpc
title: dieta detalhada por periodo.tab

description: Arquivo demonstrando a dieta detalhada da espécie por período amostrado (seco e chuvoso)
DOI: 10.48331/scielodata.bgiqsn/rpkplc
title: GG e origem.tab

description: :unav
DOI: 10.48331/scielodata.bgiqsn/0duoqp
title: Exemplo_volume_novas categorias alimentres.xls

description: informações sobre a dieta de M. bonita por classes de tamanho
DOI: 10.48331/scielodata.bgiqsn/d5cvm1
title: Readme.txt

description: README.txt (metadados descrevendo o conjunto de dados)
DOI: 10.48331/scielodata.bgiqsn
title: Diet of Moenkhausia bonita (Benine, Castro Sabino 2004) (Characiformes: Characidae) in streams in the basin of rio Formoso, Brazilian Midwest

description: Abstract: To characterize the diet composition of Moenkhausia bonita and its temporal and ontogenetic variations in streams in the Formoso River basin (MS). The samples were collected in seven streams on two occasions throughout the year (dry and rainy seasons). The food items were analyzed according to the volumetric and occurrence frequency methods and the diet was characterized through the Food Index (IAi%). To determine ontogeny, the specimens were divided into five size classes in the dry (S1 to S5) and rainy (C1 to C5) seasons. To verify the difference between the species’ diet between the size classes and the seasons of the year, the Permutational Multivariate Analysis of Variance – PERMANOVA analysis was performed. Moenkhausia bonita was classified as an invertivore when it consumed basically both aquatic and terrestrial invertebrates (99.5% of the diet), with higher consumption of aquatic invertebrates. There was a significant difference in the diet of between the dry and rainy periods, and although the species basically consumed the same items in the two studied seasons, the proportions were different and there was no difference in the diet between size classes. M. bonita diet is based on autochthonous resources regardless of the size class, but that there were different consumption patterns when comparing the different seasons of the year. The present study provided information on the feeding of M. bonita and on its diet spectrum in different size classes and periods of the year, enabling a better understanding of the species, the importance of invertebrates in its diet, and the need for future studies on the biology, autoecology, and behavior of this species.
DOI: 10.57967/hf/0595
title: HungarianNames
DOI: 10.18112/openneuro.ds004513.v1.0.2
title: The energetic costs of the human connectome
DOI: 10.34740/kaggle/dsv/5582831
title: Global Genomic Neurofibromatosis Neoplasia