cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10579639
title: First-principles data for skyrmionic spinel GaV4S8

description: This dataset contains first-principles results obtained for the lacunar spinel GaV4S8, which is the subject of our paper "Dzyaloshinskii-Moriya interactions, Néel skyrmions and V4 magnetic clusters in multiferroic lacunar spinel GaV4S8" (arXiv:2307.05733). The input and output files for the following software are included:

1) RSPt - calculation of the electronic properties and magnetic interactions (Heisenberg exchange in "jfile" files and Dzyaloshinskii-Moriya exchange in "dmfile" files) using density functional theory and DFT+U method. The magnetic moments, electronic occupations, total energies and other properties are listed in the "output-RSPt" files. The main input file "symt.inp" with the crystal structure from previously reported experiments is also included.

2) UppASD - temperature-dependent spin dynamics simulations using the calculated atomistic interactions in "jfile" and "dmfile". The input file "inpsd.dat" is included.

3) mumax3 - micromagnetic simulations using the parameters listed in the main text of the paper. Examples of input file and calculated magnetization distribution (.ovf file) are included.
DOI: 10.5281/zenodo.10579640
title: First-principles data for skyrmionic spinel GaV4S8

description: This dataset contains first-principles results obtained for the lacunar spinel GaV4S8, which is the subject of our paper "Dzyaloshinskii-Moriya interactions, Néel skyrmions and V4 magnetic clusters in multiferroic lacunar spinel GaV4S8" (arXiv:2307.05733). The input and output files for the following software are included:

1) RSPt - calculation of the electronic properties and magnetic interactions (Heisenberg exchange in "jfile" files and Dzyaloshinskii-Moriya exchange in "dmfile" files) using density functional theory and DFT+U method. The magnetic moments, electronic occupations, total energies and other properties are listed in the "output-RSPt" files. The main input file "symt.inp" with the crystal structure from previously reported experiments is also included.

2) UppASD - temperature-dependent spin dynamics simulations using the calculated atomistic interactions in "jfile" and "dmfile". The input file "inpsd.dat" is included.

3) mumax3 - micromagnetic simulations using the parameters listed in the main text of the paper. Examples of input file and calculated magnetization distribution (.ovf file) are included.
DOI: 10.5281/zenodo.10589561
title: HTR Winter School 2023/2024 - Carolingian Latin

description: Published Ground Truth as achieved by the Group Carolingian Latin of the HTR Winter School at the Austrian Academy of Sciences 2023/2024.

Partially Liber Pontificalis (Vienna, Austrian National Library, Cod. 473) and Pauline letters with glosses (Vienna, Austrian National Library, Cod. 1239)- Files: 3- Lines: 34.296- Latin, Carolingian Minuscule (9th century)
DOI: 10.5281/zenodo.10589560
title: HTR Winter School 2023/2024 - Carolingian Latin

description: Published Ground Truth as achieved by the Group Carolingian Latin of the HTR Winter School 2023/2024 at the Austrian Academy of Sciences.

Contains partially the Liber Pontificalis (Vienna, Austrian National Library, Cod. 473, see https://manuscripta.at/?ID=12335) and Pauline letters with glosses (Vienna, Austrian National Library, Cod. 1239, see https://manuscripta.at/?ID=10541)

The transcription is based on the transcription guidelines that were used for the public model by Tim Geelhaar: Carolingian Minuscule Model CMM 9th-11th c. (https://readcoop.eu/de/modelle/latin-carolingian-minuscule/).

There are three different sets of transcriptions. Cod. 473; Cod. 1239 with glosses; Cod. 1239 without glosses.

Images are provided for Cod. 473.

 



 Files: 3

 Words: 34.296 / Lines: 4.137

 Latin, Carolingian Minuscule (9th century)
DOI: 10.5281/zenodo.10590432
title: HTR Winter School 2023/2024 - Carolingian Latin

description: Published Ground Truth as achieved by the Group Carolingian Latin of the HTR Winter School at the Austrian Academy of Sciences 2023/2024.

Partially Liber Pontificalis (Vienna, Austrian National Library, Cod. 473) and Pauline letters with glosses (Vienna, Austrian National Library, Cod. 1239)- Files: 3- Lines: 34.296- Latin, Carolingian Minuscule (9th century)
DOI: 10.5281/zenodo.10610704
title: HTR Winter School 2023/2024 - Carolingian Latin

description: Published Ground Truth as achieved by the Group Carolingian Latin of the HTR Winter School 2023/2024 at the Austrian Academy of Sciences.

Contains partially the Liber Pontificalis (Vienna, Austrian National Library, Cod. 473, see https://manuscripta.at/?ID=12335) and Pauline letters with glosses (Vienna, Austrian National Library, Cod. 1239, see https://manuscripta.at/?ID=10541)

The transcription is based on the transcription guidelines that were used for the public model by Tim Geelhaar: Carolingian Minuscule Model CMM 9th-11th c. (https://readcoop.eu/de/modelle/latin-carolingian-minuscule/).

There are three different sets of transcriptions. Cod. 473; Cod. 1239 with glosses; Cod. 1239 without glosses.

Images are provided for Cod. 473.

 



 Files: 3

 Words: 34.296 / Lines: 4.137

 Latin, Carolingian Minuscule (9th century)
DOI: 10.5517/ccdc.csd.cc247k21
title: CCDC 1973462: Experimental Crystal Structure Determination

description: Related Article: Siwen Hu, He Zhao, Meng Liang, Rui Wang, Zhengyu Liu, Bo Ding, Jingjun Hao, Bo Tang, Pengchong Xue|2023|Dyes Pigm.|223|111960|doi:10.1016/j.dyepig.2024.111960
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.cc26ml5m
title: CCDC 2044610: Experimental Crystal Structure Determination

description: Related Article: Xian-Sheng Ye, Wen-Jing Tian, Guang-Hui Wang, Li-Juan Hu, Chang-Long Leng, Bin-Lian Sun, Wei Liu, Xi-Ji Shu, Hai-Feng Chen|2023|Bioorg.Chem.|144|107116|doi:10.1016/j.bioorg.2024.107116
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: 10.5287/ora-ny24x4v8p
title: Higher densities of T-lymphocytes in the subsynovial connective tissue of people with carpal tunnel syndrome

description: This dataset contains raw data of the publication entitled 'Higher densities of T-lymphocytes in the subsynovial connective tissue of people with carpal tunnel syndrome'. The data is available as an excel file.
DOI: 10.5517/ccdc.csd.cc28qq6y
title: CCDC 2107200: Experimental Crystal Structure Determination

description: Related Article: Er-Lin Yue, Man-Rong Liu, Ji-Jiang Wang, Long Tang, Xiao Wang, Xiang-Yang Hou, Yu-Qi Zhang|2023|J.Mol.Struct.|1303|137579|doi:10.1016/j.molstruc.2024.137579
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.cc28qq80
title: CCDC 2107202: Experimental Crystal Structure Determination

description: Related Article: Er-Lin Yue, Man-Rong Liu, Ji-Jiang Wang, Long Tang, Xiao Wang, Xiang-Yang Hou, Yu-Qi Zhang|2023|J.Mol.Struct.|1303|137579|doi:10.1016/j.molstruc.2024.137579
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: 10.6084/m9.figshare.25134596
title: IEEE39MVDN_MG_coordination.xls

description: 基于修改后的 IEEE 39 节点模型，负载降低到基准电压的 20%，其余部分保持不变。
DOI: 10.6084/m9.figshare.25134596.v1
title: IEEE39MVDN_MG_coordination.xls

description: 基于修改后的 IEEE 39 节点模型，负载降低到基准电压的 20%，其余部分保持不变。
DOI: 10.5281/zenodo.10610656
title: Direct visualisation of alpha-synuclein oligomers in human brain tissue - Processed Data
DOI: 10.5281/zenodo.10610657
title: Direct visualisation of alpha-synuclein oligomers in human brain tissue - Processed Data
DOI: 10.5281/zenodo.10610896
title: Assessing the effects of habitat loss and deterioration on a red squirrel translocation site; insights for future conservation management.
DOI: 10.5281/zenodo.10610897
title: Assessing the effects of habitat loss and deterioration on a red squirrel translocation site; insights for future conservation management.
DOI: 10.5281/zenodo.10610909
title: kaempferia_parviflora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10610910
title: kaempferia_parviflora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10610891
title: Dataset related to article: The Role of Adhesion Molecules and Extracellular Vesicles in an In Vitro Model of the Blood-Brain Barrier for Metastatic Disease

description: The database contains most of the data about migration, adhesion, MV characterization, expression of molecules and apoptotis detection by flow cytometry
DOI: 10.5281/zenodo.10610892
title: Dataset related to article: The Role of Adhesion Molecules and Extracellular Vesicles in an In Vitro Model of the Blood-Brain Barrier for Metastatic Disease

description: The database contains most of the data about migration, adhesion, MV characterization, expression of molecules and apoptotis detection by flow cytometry
DOI: 10.17615/4kt1-bg15
title: Dataset for Article "Quality and Safety Education in Nursing (QSEN): A Bibliometric Analysis"

description: This dataset was used for the analysis for the peer-reviewed article: "Quality and Safety Education in Nursing (QSEN): A Bibliometric Analysis", published in the Journal of Nursing Scholarship.
DOI: 10.6092/unibo/amsacta/7515
title: Dataset of the paper "A single-surface multi-failure strength domain for masonry"

description: This dataset, developed in the framework of the H2020 HOLAHERIS project, contains code and results related to a single-surface multi-failure strength domain formulation for masonry. This formulation represents a straightforward method for establishing a unified strength domain to analyze the in-plane behavior of masonry structures. The method lays the groundwork for developing homogeneous continuum models and relies on micro-mechanical analyses using a block-based model for masonry. In this model, blocks are treated as finite strength continuum bodies interacting through zero-thickness interfaces. The strength domain is derived by identifying three failure mechanisms: crushing failure, joint failure, and mixed joint-block failure. Each mechanism's limit surface is determined based on limit equilibrium principles, with a novel rational treatment for mixed mechanisms. These limit surfaces are intersected to create a multi-surface strength domain, which is then simplified into a single-surface using the RealSoftMax function, preserving the explicit distinction between all failure mechanisms. The resulting strength domain inherits material parameters from the block-based model. Generated strength domains are also collected herein, together with their comparison with state-of-the-art approaches.
DOI: 10.17615/g423-nm93
title: Young adults cancer misinformation

description: Data publicly available for Lazard et al. 

Most US young adults use smartphones and social media regularly; it is possible young adults with cancer have high exposure to cancer misinformation. We conducted an online survey with 396 young adults with cancer, ages 18-39, to better understand their exposure to advice for treatments and cures, in general, as well as exposure and reactions to cancer misinformation on social media.
DOI: 10.6084/m9.figshare.25134668
title: IEEE39_MVDN_MG

description: Based on the modified IEEE 39-node model, the load is reduced to 20% of the reference, while the rest remains unchanged.
DOI: 10.6084/m9.figshare.25134668.v1
title: IEEE39_MVDN_MG

description: Based on the modified IEEE 39-node model, the load is reduced to 20% of the reference, while the rest remains unchanged.
DOI: 10.5281/zenodo.10566717
title: LamAPI dump

description: This is the database dump of LamAPI, an advanced Knowledge Graph indexing tool, sourced from the Wikidata dump of June 30, 2023. It includes essential caches, specifically designed for the entity lookup service, ensuring efficient and accurate entity recognition and linking. For more information, please visit the LamAPI repository on GitHub: https://github.com/roby-avo/lamAPI
DOI: 10.5281/zenodo.10566718
title: LamAPI dump

description: This is the database dump of LamAPI, an advanced Knowledge Graph indexing tool, sourced from the Wikidata dump of June 30, 2023. It includes essential caches, specifically designed for the entity lookup service, ensuring efficient and accurate entity recognition and linking. For more information, please visit the LamAPI repository on GitHub: https://github.com/roby-avo/lamAPI
DOI: 10.57745/ymappv
title: 0_raw_data.zip

description: :unav
DOI: 10.57745/osjdjo
title: 1_preprocessed_data.zip

description: :unav
DOI: 10.57745/h5qrny
title: 2_processed_data.zip

description: :unav
DOI: 10.57745/3tw8b5
title: 3_code.zip

description: :unav
DOI: 10.57745/zf2sk8
title: README.txt

description: :unav
DOI: 10.12770/d68d0feb-5349-49b2-80ee-2acd32c7faca
title: 16 rRNA Metabarcoding of Microcystis microbiome along a salinity gradient

description: Fate and interaction between Microcystis and its microbiome in estuary.
DOI: 10.17615/dhr1-3y44
title: Dataset for IPE Search Hedge Validation Study

description: With the exponential growth in the publication of Interprofessional education (IPE) research studies, it has become more difficult to find relevant literature and stay abreast of the latest research. To address this gap, the paper covers the development, evaluation, and validation of search strategies for IPE studies in PubMed, to improve future access to and synthesis of IPE research. These search strategies, or search hedges, provide comprehensive, validated sets of search terms for IPE publications. The searches were created for PubMed using relative recall methodology. The research methods followed the guidance of previous search hedge and search filter validation studies in creating a gold standard set of relevant references using systematic reviews, having expert searchers identify and test search terms, and using relative recall calculations to validate the searches’ performance against the gold standard set. The three recommended search hedges for IPE studies presented had recall of 71.5%, 82.7%, and 95.1%, and can be used to expedite the process of finding relevant scholarship, to stay up to date with IPE research, and to conduct literature reviews.
DOI: 10.6084/m9.figshare.25134737
title: Combined VCF of Exome Sequenced STU family members with Sample IDs

description: Raw vcf data obtained following whole exome sequencing (Sure Select Human All Exon kit (V5) (Agilent Technologies, Santa Clara, California, US) of 27 members from STU#65 family
DOI: 10.6084/m9.figshare.25134737.v1
title: Combined VCF of Exome Sequenced STU family members with Sample IDs

description: Raw vcf data obtained following whole exome sequencing (Sure Select Human All Exon kit (V5) (Agilent Technologies, Santa Clara, California, US) of 27 members from STU#65 family
DOI: 10.6084/m9.figshare.25134785
title: nrLSU alignment for Saprolegniales

description: nrLSU alignment for Saprolegniales
DOI: 10.6084/m9.figshare.25134785.v1
title: nrLSU alignment for Saprolegniales

description: nrLSU alignment for Saprolegniales
DOI: 10.57745/3lbh1y
title: 2_processed_data.zip

description: :unav
DOI: 10.57745/hr4xfv
title: README.txt

description: :unav
DOI: 10.57745/vgcoir
title: 0_raw_data.zip

description: :unav
DOI: 10.57745/1wrbqt
title: 1_preprocessed_data.zip

description: :unav
DOI: 10.57745/7jo9wf
title: 3_codebooks.zip

description: :unav
DOI: 10.6084/m9.figshare.24891113
title: Fitting Latent Non-Gaussian Models Using Variational Bayes and Laplace Approximations

description: Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical applications. Nevertheless, in areas ranging from longitudinal studies in biostatistics to geostatistics, it is easy to find datasets that contain inherently non-Gaussian features, such as sudden jumps or spikes, that adversely affect the inferences and predictions made using an LGM. These datasets require more general latent non-Gaussian models (LnGMs) that can handle automatically these non-Gaussian features. However, fast implementation and easy-to-use software are lacking, preventing the broad applicability of LnGMs. In this article, we derive variational Bayes algorithms for fast and scalable inference of LnGMs. The approximation leads to an LGM that downweights extreme events in the latent process, reducing their influence and leading to more robust inferences. It can be applied to a wide range of models, such as autoregressive processes for time series, simultaneous autoregressive models for areal data, and spatial Matérn models. To facilitate Bayesian inference, we introduce the ngvb package, where LGMs implemented in R-INLA can be easily extended to LnGMs by adding a single line of code. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24891113.v2
title: Fitting Latent Non-Gaussian Models Using Variational Bayes and Laplace Approximations

description: Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical applications. Nevertheless, in areas ranging from longitudinal studies in biostatistics to geostatistics, it is easy to find datasets that contain inherently non-Gaussian features, such as sudden jumps or spikes, that adversely affect the inferences and predictions made using an LGM. These datasets require more general latent non-Gaussian models (LnGMs) that can handle automatically these non-Gaussian features. However, fast implementation and easy-to-use software are lacking, preventing the broad applicability of LnGMs. In this article, we derive variational Bayes algorithms for fast and scalable inference of LnGMs. The approximation leads to an LGM that downweights extreme events in the latent process, reducing their influence and leading to more robust inferences. It can be applied to a wide range of models, such as autoregressive processes for time series, simultaneous autoregressive models for areal data, and spatial Matérn models. To facilitate Bayesian inference, we introduce the ngvb package, where LGMs implemented in R-INLA can be easily extended to LnGMs by adding a single line of code. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24891113.v1
title: Fitting latent non-Gaussian models using variational Bayes and Laplace approximations

description: <i>Abstract–</i>Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical applications. Nevertheless, in areas ranging from longitudinal studies in biostatistics to geostatistics, it is easy to find datasets that contain inherently non-Gaussian features, such as sudden jumps or spikes, that adversely affect the inferences and predictions made using an LGM. These datasets require more general latent non-Gaussian models (LnGMs) that can handle automatically these non-Gaussian features. However, fast implementation and easy-to-use software are lacking, preventing the broad applicability of LnGMs. In this paper, we derive variational Bayes algorithms for fast and scalable inference of LnGMs. The approximation leads to an LGM that downweights extreme events in the latent process, reducing their influence and leading to more robust inferences. It can be applied to a wide range of models, such as autoregressive processes for time series, simultaneous autoregressive models for areal data, and spatial Matérn models. To facilitate Bayesian inference, we introduce the ngvb package, where LGMs implemented in R-INLA can be easily extended to LnGMs by adding a single line of code.
DOI: 10.6084/m9.figshare.24962498
title: A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes

description: This article develops a unified and computationally efficient method for change-point estimation along the time dimension in a nonstationary spatio-temporal process. By modeling a nonstationary spatio-temporal process as a piecewise stationary spatio-temporal process, we consider simultaneous estimation of the number and locations of change-points, and model parameters in each segment. A composite likelihood-based criterion is developed for change-point and parameter estimation. Under the framework of increasing domain asymptotics, theoretical results including consistency and distribution of the estimators are derived under mild conditions. In contrast to classical results in fixed dimensional time series that the localization error of change-point estimator is Op(1), exact recovery of true change-points is possible in the spatio-temporal setting. More surprisingly, the consistency of change-point estimation can be achieved without any penalty term in the criterion function. In addition, we further establish consistency of the change-point estimator under the infill asymptotics framework where the time domain is increasing while the spatial sampling domain is fixed. A computationally efficient pruned dynamic programming algorithm is developed for the challenging criterion optimization problem. Extensive simulation studies and an application to the U.S. precipitation data are provided to demonstrate the effectiveness and practicality of the proposed method. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24962498.v1
title: A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Processes

description: This paper develops a unified and computationally efficient method for change-point estimation along the time dimension in a non-stationary spatio-temporal process. By modeling a non-stationary spatio-temporal process as a piecewise stationary spatio-temporal process, we consider simultaneous estimation of the number and locations of change-points, and model parameters in each segment. A composite likelihood-based criterion is developed for change-point and parameter estimation. Under the framework of increasing domain asymptotics, theoretical results including consistency and distribution of the estimators are derived under mild conditions. In contrast to classical results in fixed dimensional time series that the localization error of change-point estimator is Op(1), exact recovery of true change-points is possible in the spatio-temporal setting. More surprisingly, the consistency of change-point estimation can be achieved without any penalty term in the criterion function. In addition, we further establish consistency of the change-point estimator under the infill asymptotics framework where the time domain is increasing while the spatial sampling domain is fixed. A computationally efficient pruned dynamic programming algorithm is developed for the challenging criterion optimization problem. Extensive simulation studies and an application to the U.S. precipitation data are provided to demonstrate the effectiveness and practicality of the proposed method.
DOI: 10.57745/4sge0j
title: 3_codebooks.zip

description: :unav
DOI: 10.57745/mu0hnn
title: 1_preprocessed_data.zip

description: :unav
DOI: 10.57745/pmjina
title: README.txt

description: :unav