cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6406538
title: Single-Writer Synthetic Strikethrough Dataset

description: This dataset is based on the train set from https://doi.org/10.5281/zenodo.4765062 and contains registered pairs of clean and struck-through handwritten. The text, a passage from Bram Stoker's Dracula, was written by a single writer, using a blue ballpoint pen on regular white paper. The 126 word images have been synthetically struck through (generated via: https://doi.org/10.5281/zenodo.4767062), using one of the following stroke types: single horizontal line, double horizontal lines, diagonal, cross, wave, zigzag, scratch.
DOI: 10.6084/m9.figshare.16988539.v2
title: Data and R code from: Multiple anthropogenic pressures eliminate the effect of biodiversity on ecosystem functions

description: Biodiversity contributes to maintaining ecosystem functions when faced with anthropogenic pressures. However, ecosystems are now exposed to a rapidly growing number of such pressures, and it remains unknown whether biodiversity can still sustain ecosystem functioning under anthropogenic pressures. Here we investigated the effects of soil biodiversity on soil functions and properties when faced with an increasing number of simultaneous global change factors (GCFs). Higher soil biodiversity had a positive effect on soil functions and properties when zero and only a few (e.g., 1 – 4) GCFs were applied, but this positive effect was eliminated by the co-occurrence of<br>numerous GCFs. This was attributable to the reduction of soil fungal abundance and the relative abundance of a bacterial cluster. These results suggest that biodiversity can contribute to ecosystem functions only when a few GCFs are active, but that this will be jeopardized by the presence of multiple GCFs. Our study indicates that reducing the number of anthropogenic pressures should be a goal in ecosystem management, in addition to biodiversity conservation.
DOI: 10.17632/c5b9mjyx7b.1
title: Environmental magnetic, geochemical, grain-size, and chronological data of HZ and SGX sections in the southern Tibetan Plateau

description: Environmental magnetic, geochemical, grain-size, and chronological data of HZ and SGX sections in the southern Tibetan Plateau
DOI: 10.17632/d92brjg97d.1
title: Machine Configurations

description: The data includes the average of the processing, failure, and repair rates of the machines and the capacities of the buffers in production lines. Processing rates are deterministic and the reliability parameters are exponentially distributed.
DOI: 10.5525/gla.researchdata.1238
title: Remote laser-speckle sensing of heart sounds for health assessment and biometric identification

description: The paper describes a contactless, machine-learning assisted method for heart-sound identification and quantification based on the remote measurement of the reflected laser speckle from the human neck skin surface. For more details see Readme.rtf
DOI: 10.17632/98p49gmm5v.1
title: mpliance to guidelines and rational use of antibiotics in urinary tract infections in Lebanon: a cross-sectional study

description: Urinary Tract Infections (UTI) are among the most common bacterial infections, and appropriate antimicrobial therapy with agents that maximize success and minimize resistance is crucial. Despite international concern, adherence to guidelines is still suboptimal.

Objectives: Determine the rate of conformity to guidelines among Lebanese physicians in antibiotic prescriptions for the outpatient treatment of UTIs in adults; and detect the factors that are associated with a higher rate of non-compliance to guidelines.

Methods: Patient-related characteristics and the prescribed course of antibiotics were gathered from patients' medical files, and a questionnaire was directed to physicians to elicit the factors likely to be involved in decision-making. Prescriptions were evaluated using 4 criteria: Molecule conformity, Daily Dose conformity, Duration conformity, and Global conformity.
DOI: 10.17632/shw8x4jbhy.1
title:  Hairpin: A simple, beautiful and effective fixator of head dressing gauzes

description: Supplemental figures for Hairpin: A simple, beautiful and effective fixator of head dressing gauzes
DOI: 10.17632/w3dp7mtpm2.1
title: Tehlirian et al 2022_Suppplementary Material

description: Supplementary material for Tehlirian et al 2022 'Oral tyrosine kinase 2 inhibitor PF-06826647 demonstrates efficacy and an acceptable safety profile in participants with moderate-to-severe plaque psoriasis in a phase 2b, randomized, double-blind, placebo-controlled study'
DOI: 10.17632/6zknvy9vwf.1
title: Supplemental Tables S1-S7

description: Supplemental Tables S1-S7 for manuscript "The evolutionary path of chemosensory and flagellar macromolecular machines in Campylobacterota"
DOI: 10.17632/z483h65xrp.1
title: Observational study 

description: This cross-sectional study targeted residents in Kumejima island, Okinawa prefecture, in Japan aged 20–75 years as a part of the KDHP (Kumejima Digital Health Project) between June 2018 and December 2019.
DOI: 10.6084/m9.figshare.16988539.v3
title: Data and R code from: Multiple anthropogenic pressures eliminate the effect of biodiversity on ecosystem functions

description: Biodiversity contributes to maintaining ecosystem functions when faced with anthropogenic pressures. However, ecosystems are now exposed to a rapidly growing number of such pressures, and it remains unknown whether biodiversity can still sustain ecosystem functioning under anthropogenic pressures. Here we investigated the effects of soil biodiversity on soil functions and properties when faced with an increasing number of simultaneous global change factors (GCFs). Higher soil biodiversity had a positive effect on soil functions and properties when zero and only a few (e.g., 1 – 4) GCFs were applied, but this positive effect was eliminated by the co-occurrence of<br>numerous GCFs. This was attributable to the reduction of soil fungal abundance and the relative abundance of a bacterial cluster. These results suggest that biodiversity can contribute to ecosystem functions only when a few GCFs are active, but that this will be jeopardized by the presence of multiple GCFs. Our study indicates that reducing the number of anthropogenic pressures should be a goal in ecosystem management, in addition to biodiversity conservation.
DOI: 10.6084/m9.figshare.19230093.v1
title: Sensitivity Prewarping for Local Surrogate Modeling

description: In the continual effort to improve product quality and decrease operations costs, computational modeling is increasingly being deployed to determine feasibility of product designs or configurations. Surrogate modeling of these computer experiments via local models, which induce sparsity by only considering short range interactions, can tackle huge analyses of complicated input-output relationships. However, narrowing focus to local scale means that global trends must be re-learned over and over again. In this article, we propose a framework for incorporating information from a global sensitivity analysis into the surrogate model as an input rotation and rescaling preprocessing step. We discuss the relationship between several sensitivity analysis methods based on kernel regression before describing how they give rise to a transformation of the input variables. Specifically, we perform an input warping such that the “warped simulator” is equally sensitive to all input directions, freeing local models to focus on local dynamics. Numerical experiments on observational data and benchmark test functions, including a high-dimensional computer simulator from the automotive industry, provide empirical validation.
DOI: 10.6084/m9.figshare.19230091
title: Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning

description: igh-dimensional streaming data are becoming increasingly ubiquitous in many fields. They often lie in multiple low-dimensional subspaces, and the manifold structures may change abruptly on the time scale due to pattern shift or occurrence of anomalies. However, the problem of detecting the structural changes in a real-time manner has not been well studied. To fill this gap, we propose a dynamic sparse subspace learning approach for online structural change-point detection of high-dimensional streaming data. A novel multiple structural change-point model is proposed and the asymptotic properties of the estimators are investigated. A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection. An efficient Pruned Exact Linear Time based algorithm is proposed for online optimization and change-point detection. The effectiveness of the proposed method is demonstrated through several simulation studies and a real case study on gesture data for motion tracking. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19230091.v2
title: Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning

description: igh-dimensional streaming data are becoming increasingly ubiquitous in many fields. They often lie in multiple low-dimensional subspaces, and the manifold structures may change abruptly on the time scale due to pattern shift or occurrence of anomalies. However, the problem of detecting the structural changes in a real-time manner has not been well studied. To fill this gap, we propose a dynamic sparse subspace learning approach for online structural change-point detection of high-dimensional streaming data. A novel multiple structural change-point model is proposed and the asymptotic properties of the estimators are investigated. A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection. An efficient Pruned Exact Linear Time based algorithm is proposed for online optimization and change-point detection. The effectiveness of the proposed method is demonstrated through several simulation studies and a real case study on gesture data for motion tracking. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19230091.v1
title: Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning

description: High-dimensional streaming data are becoming increasingly ubiquitous in many fields. They often lie in multiple low-dimensional subspaces, and the manifold structures may change abruptly on the time scale due to pattern shift or occurrence of anomalies. However, the problem of detecting the structural changes in a real-time manner has not been well studied. To fill this gap, we propose a dynamic sparse subspace learning approach for online structural change-point detection of high-dimensional streaming data. A novel multiple structural change-point model is proposed and the asymptotic properties of the estimators are investigated. A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection. An efficient Pruned Exact Linear Time based algorithm is proposed for online optimization and change-point detection. The effectiveness of the proposed method is demonstrated through several simulation studies and a real case study on gesture data for motion tracking.
DOI: 10.34820/fk2/kamkep/asensp
title: data01-1.tab

description: :unav
DOI: 10.34820/fk2/kamkep
title: Dataset untuk prediksi maintenance asset untuk mesin industri

description: Data-data yang terkait dengan untuk proses predictive maintenance pada mesin industri
DOI: 10.6084/m9.figshare.19494788
title: Results

description: Results in SPSS
DOI: 10.6084/m9.figshare.19494788.v1
title: Results

description: Results in SPSS
DOI: 10.5281/zenodo.6383175
title: Data Supplement for ApJ Paper: Stumbling over planetary building blocks: AU Microscopii as an exampleof the challenge of retrieving debris-disk dust properties

description: Computational data set underlying a manuscript analyzing visible to near infrared wavelength Hubble-STIS spectrographic coronagraph observations of the AU Microscopii debis disk. To interpret this multi-wavelength data set, we calculated light scattering properties of three different debris disk dust grain shape models: spheres, porous spheres, and more realistic irregular agglomerated debris particles. Calculations of scattering efficiency and phase function were done over a range of dust grain sizes and material refractive indices. This bundle contains three .hdf table files. Each table file contains a size parameter array (1D), complex refractive index array (1D), scattering efficiency array (1D), and scattering phase function array (2D). The 1st dimension of each array is the same size. The 2nd dimension of the scattering phase function is 60, the number of scattering angles calculated at an angular resolution of 3 degrees.
DOI: 10.5281/zenodo.6383174
title: Data Supplement for ApJ Paper: Stumbling over planetary building blocks: AU Microscopii as an exampleof the challenge of retrieving debris-disk dust properties

description: Computational data set underlying a manuscript analyzing visible to near infrared wavelength Hubble-STIS spectrographic coronagraph observations of the AU Microscopii debis disk. To interpret this multi-wavelength data set, we calculated light scattering properties of three different debris disk dust grain shape models: spheres, porous spheres, and more realistic irregular agglomerated debris particles. Calculations of scattering efficiency and phase function were done over a range of dust grain sizes and material refractive indices. This bundle contains three .hdf table files. Each table file contains a size parameter array (1D), complex refractive index array (1D), scattering efficiency array (1D), and scattering phase function array (2D). The 1st dimension of each array is the same size. The 2nd dimension of the scattering phase function is 60, the number of scattering angles calculated at an angular resolution of 3 degrees.
DOI: 10.34740/kaggle/dsv/3392813
title: Taxi trip data NYC
DOI: 10.5281/zenodo.6406618
title: Result tables

description: Tables containing the results of the three indicators on GBIF minimum data adequacy for alien species.
DOI: 10.5281/zenodo.6406682
title: Analysis_diplomatic work among Chinese Top Leaderships

description: dataset for the analysis of diplomatic work among Chinese top leaderships
DOI: 10.5281/zenodo.6406681
title: Analysis_diplomatic work among Chinese Top Leaderships

description: dataset for the analysis of diplomatic work among Chinese top leaderships
DOI: 10.5281/zenodo.6406683
title: Result tables

description: Tables containing the results of the three indicators on GBIF minimum data adequacy for alien species.
DOI: 10.5281/zenodo.5717300
title: Result tables

description: Tables containing the results of the three indicators on GBIF minimum data adequacy for alien species.
DOI: 10.6084/m9.figshare.19494728.v2
title: Division by Zero: Threats and Effects in Spectrum-Based Fault Localization Formulas Scripts and Data

description: This is in the compressed file.
DOI: 10.5281/zenodo.6400068
title: Formality annotated Japanese-English parallel data

description: This is a dataset containing Japanese-English parallel data, annotated according to the formality of the Japanese sentences. The formality classification was automatic and was based on a rule-based formality classifier proposed by Feely et al. 19. The base unannotated parallel corpora that we used can be found at http://www.phontron.com/japanese-translation-data.php, a selection of Japanese-English parallel corpora curated by Graham Neubig.
DOI: 10.5281/zenodo.6400067
title: Formality annotated Japanese-English parallel data

description: This is a dataset containing Japanese-English parallel data, annotated according to the formality of the Japanese sentences. The formality classification was automatic and was based on a rule-based formality classifier proposed by Feely et al. 19. The base unannotated parallel corpora that we used can be found at http://www.phontron.com/japanese-translation-data.php, a selection of Japanese-English parallel corpora curated by Graham Neubig.
DOI: 10.6084/m9.figshare.16860511
title: Optimal gene trees

description: Maximum likelihood optimal gene trees based on analyses of locus alignments.
DOI: 10.6084/m9.figshare.16860511.v1
title: Optimal gene trees

description: Maximum likelihood optimal gene trees based on analyses of locus alignments.
DOI: 10.6084/m9.figshare.16860508.v1
title: Locus alignments

description: Trimmed locus alignment files
DOI: 10.6084/m9.figshare.16860508
title: Locus alignments

description: Trimmed locus alignment files
DOI: 10.6084/m9.figshare.16860502
title: Maximum likelihood tree files

description: IQTREE maximum likelihood tree files.
DOI: 10.6084/m9.figshare.16860502.v1
title: Maximum likelihood tree files

description: IQTREE maximum likelihood tree files.
DOI: 10.6084/m9.figshare.16860499
title: Concatenated alignments

description: Concatenated alignment files.
DOI: 10.6084/m9.figshare.16860499.v1
title: Concatenated alignments

description: Concatenated alignment files.
DOI: 10.6084/m9.figshare.16860493
title: ASTRAL species tree files

description: ASTRAL species tree files
DOI: 10.6084/m9.figshare.16860493.v1
title: ASTRAL species tree files

description: ASTRAL species tree files
DOI: 10.25345/c58c9r75v
title: MassIVE MSV000089187 - Transcription Factor Acj6 Specifies Distinct Dendrite Targets via Unique Cell-Surface Protein Combinations
title: Xie Q, Li J1, Li H, Udeshi ND, Svinkina T, Kohani S, Guajardo R, Mani DR, Xu C, Li T, Han S, Wei W, Shuster SA, Luginbuhl DJ, Ting AY, Carr SA, Luo L. 2022. Transcription factors specify the fate and connectivity of developing neurons. To understand how distal neurites execute commands from these nucleus-residing factors to specify their connectivity, we investigated how a lineage-specific transcription factor, Acj6, controls the precise dendrite targeting of Drosophila olfactory projection neurons (PNs). Quantitative cell-surface proteomic profiling of wild-type and acj6 mutant PNs in intact developing brains and a proteome-informed genetic screen identified PN surface proteins that execute Acj6-regulated wiring decisions. These include canonical cell adhesion molecules and molecules previously not associated with wiring, such as the mechanosensitive ion channel Piezo. Ion channel activity is dispensable for Piezo's function in PN dendrite targeting. Combinatorial expression of Acj6 executors more strongly rescued specific acj6 mutant phenotypes than expression of individual executors. Together, our findings reveal that a key transcription factor controls wiring specificity of different neuron types by regulating expression of unique combinations of cell-surface executors.
DOI: 10.5281/zenodo.6406673
title: Dataset and scripts for manuscript "OpenIFS/AC: atmospheric chemistry and aerosol in OpenIFS 43r3"

description: This repository contains model output datasets and plotting scripts as used for evaluations and figures presented in the manuscript "OpenIFS/AC: atmospheric chemistry and aerosol in OpenIFS 43r3", submitted to Geosci. Model Dev.
DOI: 10.12751/g-node.xygy7j
title: Dataset: Mouse retinal ganglion cell responses to local contrast switches

description: Data set accompanying Khani and Gollisch, J Physiol 2017: Diversity in spatial scope of contrast adaptation among mouse retinal ganglion cells.
description: IsSupplementTo: Khani MH, Gollisch T (2017), Diversity in spatial scope of contrast adaptation among mouse retinal ganglion cells, J Neurophysiol 118:3024-3043. (https://doi.org/10.1152/jn.00529.2017)
DOI: 10.5281/zenodo.6406724
title: [dataset] Runtime Equilibrium Verification for Resilient Cyber-physical Systems

description: This package contains the <strong>raw data</strong> and <strong>scripts</strong> used to carry out the evaluation of the framework RUNE<sup>2</sup> (RUNtime Equilibrium verification and Enforcement). This package is paired with the following paper submitted for publication to the ACM Transactions on Autonomous and Adaptive Systems (TAAS). Invited contribution to the IEEE ACSOS 2021 Special Issue. <strong>Title</strong>: Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime <strong>Authors</strong>:<br> - Matteo Camilli, Free University of Bozen-Bolzano, Italy<br> - Raffaela Mirandola, Politecnico di Milano, Italy<br> - Patrizia Scandurra, University of Bergamo, Italy See README.md for further instructions.
DOI: 10.5281/zenodo.4737491
title: [dataset] Runtime Equilibrium Verification for Resilient Cyber-physical Systems

description: This package contains the <strong>raw data</strong> and <strong>scripts</strong> used to carry out the evaluation of the framework RUNE<sup>2</sup> (RUNtime Equilibrium verification and Enforcement). This package is paired with the following paper submitted for publication to the ACM Transactions on Autonomous and Adaptive Systems (TAAS). Invited contribution to the IEEE ACSOS 2021 Special Issue. <strong>Title</strong>: Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime <strong>Authors</strong>:<br> - Matteo Camilli, Free University of Bozen-Bolzano, Italy<br> - Raffaela Mirandola, Politecnico di Milano, Italy<br> - Patrizia Scandurra, University of Bergamo, Italy See README.md for further instructions.
DOI: 10.5281/zenodo.6406747
title: Students' Perception towards e-learning during COVID-19 Pandemic in Indonesia

description: The study explores university students' perceptions of e-learning in the context of the ongoing COVID-19 epidemic. The study finds that students prefer e-learning because it enables them to connect with their lecturers and fellow students and engage with their study materials at their leisure, and with the freedom to choose their preferred location and time. One of the key reason students choose e-learning is the ease with which they may obtain study resources. The research methods used with a quantitative model, where the sample tested represented the student of 1137 respondents from 43 universities in Indonesia. The study's findings show the weakness of e-learning is that the majority of respondents responded in turn to interaction with lecturers (52,7%). The study also identified that the majority of respondents have a moderate mastery of technology, 1038 individuals (77.6%), while the remainder has poor knowledge of technology, as many as 52 people (3.9%). According to the study, e-learning technology enables quick access to information, which results in students developing a favorable attitude toward it based on its utility, self-efficacy, the convenience of use, and student behavior related to e-learning. The study verifies the utility of e-learning by demonstrating how it enables students to study from any geographical location, which is not achievable with face-to-face instruction.