cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12635837.v4
title: Data from: Higher temperatures amplify the negative effects of mutations on protein stability: a case study on prokaryotic adenylate kinases

description: <b>CONTENTS OF THIS DATASET</b><br><b>1) ADK_tree.phy:</b> The ADK gene tree reconstructed for this study.<br><br><b>2) calibrated_species_tree.phy:</b> The relative time-calibrated phylogeny reconstructed for this study.<br><br><b>3) ddG_vs_Temp_interspecific.csv:</b> Weighted median ΔΔG estimates and temperature values for each of the 70 prokaryotic ADKs.<br><br><b>4) ddG_vs_Temp_intraspecific.csv:</b> Median ΔΔG estimates and temperature values for the 6 selected prokaryotic ADKs.<br><b>5) ln_K_t_gen_vs_Temp_and_Cell_Volume.csv:</b> Generation time-corrected substitution rate estimates (using a natural logarithm transformation), minimum/maximum cell volume estimates, and temperature values.
DOI: 10.6084/m9.figshare.12635837.v3
title: Data from: Higher temperatures amplify the negative effects of mutations on protein stability

description: <b>CONTENTS OF THIS DATASET</b><br><b>1) ADK_tree.phy:</b> The ADK gene tree reconstructed for this study.<br><br><b>2) calibrated_species_tree.phy:</b> The relative time-calibrated phylogeny reconstructed for this study.<br><br><b>3) ddG_vs_Temp_interspecific.csv:</b> Weighted median ΔΔG estimates and temperature values for each of the 70 prokaryotic ADKs.<br><br><b>4) ddG_vs_Temp_intraspecific.csv:</b> Median ΔΔG estimates and temperature values for the 6 selected prokaryotic ADKs.<br><b>5) ln_K_t_gen_vs_Temp_and_Cell_Volume.csv:</b> Generation time-corrected substitution rate estimates (using a natural logarithm transformation), minimum/maximum cell volume estimates, and temperature values.
DOI: 10.17632/brt3myjxbm.1
title: WMSD among Bus Drivers and Conductors

description: An excel spreadsheet of the raw data used for analysis
DOI: 10.17632/cj9tkbrxwj.2
title: Clinical and functional outcomes in day hospitals in times of COVID-19

description: Mental health services have been clearly affected by the pandemic and its restrictions. In our two day hospital units in northeastern Spain, users attended on fewer days, group therapy was drastically reduced, the number of users in groups was limited and individual and group teletherapy was initiated. This study evaluates the impact of these changes on clinical and functional outcomes.

This is the dataset from a descriptive study prospectively comparing two cohorts of users: those admitted and discharged from our day hospitals before or during the pandemic. All users received a multidisciplinary assessment at admission and discharge including clinician and user-rated scales on psychopathology (BDI2, PANSS, GAS, MINI suicidality scale), daily living skills (BELS), quality of life (SF-36) and caregiver burdens (Zarit scale). Improvement in both groups was compared. 

Both cohorts were homogenous at admission. Length of admission was not different for the two groups, but users admitted during the pandemic attended the day hospital on significantly fewer days. Improvement observed in most scales was equivalent in both groups, suggesting a similar evolution of both cohorts. 

Despite the reduction in assistance days and group therapeutic interventions no major changes were found in the outcomes of both groups. This study shows that careful adaptations and availability, even in critical situations, can result in equally effective treatments. Further research is essential to determine which of these adaptations should be maintained beyond the pandemic.
DOI: 10.5281/zenodo.5535377
title: HYPERCOG_Process data_Welding log_2020-07-30

description: The HyperCOG project addresses the full digital transformation of process industry through an innovative Industrial Cyber-Physical System and Data Analytics. It is based on advanced technologies that enable the development of a hyperconnected network of digital nodes. The nodes can catch outstanding streams of data in real-time, which together with the high computing capabilities, provide sensing, knowledge and cognitive reasoning, making companies robust in the face of variant scenarios. The breaking-edge system proposed in this work is validated on productivity, environmental and replicability aspects on three use cases of three di_erent sectors: steel, cement and chemical. Participating entities: LORTEK. The data was gathered and used in the proof of concept of the architecture introduced in the paper in the way that is described in it. <strong>Dataset 1: Welding process data (xlsx files)</strong> Real time data of the process of a welding cell on Excel sheets. The data is obtained at a frequency of 100 Hz and variables of voltage, current, temperature, gas flux, etc. are registered in the Excel file by rows. <strong>Dataset 2: Temperature and movement of the piece constructed (zip files)</strong> Data of temperatures obtained by thermocouple sensors and distortion of the structure measured by a laser sensor. The zip files contain coma separated values of 8 thermocouples welded to the substrate of the piece constructed by the welding cell. The reading of a laser sensor is also recorded along the x coordinate of the movement of the robot for synchronization purposes. The article corresponding to these datasets are available in open access in <pre>https://doi.org/10.5281/zenodo.5533904</pre>
DOI: 10.5281/zenodo.5535376
title: HYPERCOG_Process data_Welding log_2020-07-30

description: The HyperCOG project addresses the full digital transformation of process industry through an innovative Industrial Cyber-Physical System and Data Analytics. It is based on advanced technologies that enable the development of a hyperconnected network of digital nodes. The nodes can catch outstanding streams of data in real-time, which together with the high computing capabilities, provide sensing, knowledge and cognitive reasoning, making companies robust in the face of variant scenarios. The breaking-edge system proposed in this work is validated on productivity, environmental and replicability aspects on three use cases of three di_erent sectors: steel, cement and chemical. Participating entities: LORTEK. The data was gathered and used in the proof of concept of the architecture introduced in the paper in the way that is described in it. <strong>Dataset 1: Welding process data (xlsx files)</strong> Real time data of the process of a welding cell on Excel sheets. The data is obtained at a frequency of 100 Hz and variables of voltage, current, temperature, gas flux, etc. are registered in the Excel file by rows. <strong>Dataset 2: Temperature and movement of the piece constructed (zip files)</strong> Data of temperatures obtained by thermocouple sensors and distortion of the structure measured by a laser sensor. The zip files contain coma separated values of 8 thermocouples welded to the substrate of the piece constructed by the welding cell. The reading of a laser sensor is also recorded along the x coordinate of the movement of the robot for synchronization purposes. The article corresponding to these datasets are available in open access in <pre>https://doi.org/10.5281/zenodo.5533904</pre>
DOI: 10.5281/zenodo.5524562
title: Datasets and Software for publication "Distinct RPA domains promote recruitment and the helicase-nuclease activities of Dna2"

description: - Magnetic tweezers and mass photometry datasets for the publication "Distinct RPA domains promote recruitment and the helicase-nuclease activities of Dna2, Nature Communications 2021" - costum written Matlab Software for Helicase Analysis
DOI: 10.5281/zenodo.5524561
title: Datasets and Software for publication "Distinct RPA domains promote recruitment and the helicase-nuclease activities of Dna2"

description: - Magnetic tweezers and mass photometry datasets for the publication "Distinct RPA domains promote recruitment and the helicase-nuclease activities of Dna2, Nature Communications 2021" - costum written Matlab Software for Helicase Analysis
DOI: 10.5281/zenodo.5535430
title: Deploying Near Optimal Delay Constrained Paths with Segment-Routing in Massive Scale Networks

description: Dataset consisting of 5 large topologies used for the evaluation of Best2cop - multi-area version. <br> <br> The topologies themselves are written as a list of edges following the format : <br> <strong>source target delay cost area</strong> <br> "cost" being the IGP cost of the link, and "area", the IGP area to which the edge belongs. Each topology has a descriptive file showcasing some of the network's properties (density, diameter...) as well as an HTML file allowing to see the topology on an actual world map. Note that while we consider the road infrastructure, the links are represented in an abstract fashion for readability purposes.
DOI: 10.5281/zenodo.5535429
title: Deploying Near Optimal Delay Constrained Paths with Segment-Routing in Massive Scale Networks

description: Dataset consisting of 5 large topologies used for the evaluation of Best2cop - multi-area version. <br> <br> The topologies themselves are written as a list of edges following the format : <br> <strong>source target delay cost area</strong> <br> "cost" being the IGP cost of the link, and "area", the IGP area to which the edge belongs. Each topology has a descriptive file showcasing some of the network's properties (density, diameter...) as well as an HTML file allowing to see the topology on an actual world map. Note that while we consider the road infrastructure, the links are represented in an abstract fashion for readability purposes.
DOI: 10.5281/zenodo.5535462
title: Association between patient satisfaction and the willingness to return for rehabilitation- A pilot study

description: <strong>Background: </strong>Patient satisfaction has played an important role in the development of health systems. However, the information on patient satisfaction and the returning of the patients for rehabilitation is limited. This study aims to explore the role of different domains in patient satisfaction with the return for further rehabilitation. <strong>Methods: </strong>The cross-sectional study was conducted among all 163 patients at Viettiep hospital, Haiphong city, who were treated at different departments but needed a combination of treatment with rehabilitation. The Patient Satisfaction Index (PSI) Questionnaire was applied to record the average score of satisfaction. A multivariate logistic regression was used to determine the association between each domain of the PSI and the return for rehabilitation treatment. <strong>Results</strong>: Among the PSI scale, the strongest correlation was observed between the attitude of medical staff and the equipment and infrastructure of the hospital (r=0.305). The linear regression model indicated that patient satisfaction was associated significantly with the willingness to return for further rehabilitation (OR= 58.442). There were significant associations between the accessibility, equipment and infrastructure, quality of care and treatment, and cost of treatment with the returning for treatment of the patients. <strong>Conclusions:</strong> The patient satisfaction regarding individual domains should be considered in more detail in order to enhance the rehabilitation treatment of patients after discharging them from the hospital.
DOI: 10.5281/zenodo.5535461
title: Association between patient satisfaction and the willingness to return for rehabilitation- A pilot study

description: <strong>Background: </strong>Patient satisfaction has played an important role in the development of health systems. However, the information on patient satisfaction and the returning of the patients for rehabilitation is limited. This study aims to explore the role of different domains in patient satisfaction with the return for further rehabilitation. <strong>Methods: </strong>The cross-sectional study was conducted among all 163 patients at Viettiep hospital, Haiphong city, who were treated at different departments but needed a combination of treatment with rehabilitation. The Patient Satisfaction Index (PSI) Questionnaire was applied to record the average score of satisfaction. A multivariate logistic regression was used to determine the association between each domain of the PSI and the return for rehabilitation treatment. <strong>Results</strong>: Among the PSI scale, the strongest correlation was observed between the attitude of medical staff and the equipment and infrastructure of the hospital (r=0.305). The linear regression model indicated that patient satisfaction was associated significantly with the willingness to return for further rehabilitation (OR= 58.442). There were significant associations between the accessibility, equipment and infrastructure, quality of care and treatment, and cost of treatment with the returning for treatment of the patients. <strong>Conclusions:</strong> The patient satisfaction regarding individual domains should be considered in more detail in order to enhance the rehabilitation treatment of patients after discharging them from the hospital.
DOI: 10.5281/zenodo.5535467
title: Braincharts

description: Pre-trained models described in Charting Brain Growth and Aging at High Spatial Precision. Rutherford et al 2021. Models (and code + tutorials for applying them) are also available in this project's GitHub repository. <strong>Abstract:</strong> Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and use normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1,985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision making.
DOI: 10.5281/zenodo.5535466
title: Braincharts

description: Pre-trained models described in Charting Brain Growth and Aging at High Spatial Precision. Rutherford et al 2021. Models (and code + tutorials for applying them) are also available in this project's GitHub repository. <strong>Abstract:</strong> Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and use normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1,985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision making.
DOI: 10.6084/m9.figshare.16698088
title: Negative Stain Transmission Electron Micrographs of Haliangium ochraceum Encapsulin:Encapsulated Ferritin complex

description: Purified encapsulin nanocompartments were initially imaged by negative stain TEM. Continuous carbon/formvar coated copper grids (200 mesh) were glow-discharged for 30 seconds using a Pelco glow discharge system. 5 µL Enc was pipetted onto the glow-discharged grids and excess liquid was removed after 30 seconds with Whatman filter paper (grade 1, diameter 24.0 cm). The grids were washed with distilled water three times, followed by staining with 2 % uranyl acetate for 5 seconds. Grids were left to air dry and then imaged with a JEOL JEM-1400 transmission electron microscope. Images were collected with a Gatan CCD OneView camera and analyzed using FIJI.
DOI: 10.6084/m9.figshare.16698088.v1
title: Negative Stain Transmission Electron Micrographs of Haliangium ochraceum Encapsulin:Encapsulated Ferritin complex

description: Purified encapsulin nanocompartments were initially imaged by negative stain TEM. Continuous carbon/formvar coated copper grids (200 mesh) were glow-discharged for 30 seconds using a Pelco glow discharge system. 5 µL Enc was pipetted onto the glow-discharged grids and excess liquid was removed after 30 seconds with Whatman filter paper (grade 1, diameter 24.0 cm). The grids were washed with distilled water three times, followed by staining with 2 % uranyl acetate for 5 seconds. Grids were left to air dry and then imaged with a JEOL JEM-1400 transmission electron microscope. Images were collected with a Gatan CCD OneView camera and analyzed using FIJI.
DOI: 10.5283/epub.43821
title: Data archive of "Non-adiabatic stripping of a cavity field from electrons in the deep-strong coupling regime"

description: Atomically strong light pulses can drive sub-optical-cycle dynamics. When the Rabi frequency—the rate of energy exchange between light and matter—exceeds the optical carrier frequency, fascinating non-perturbative strong-field phenomena emerge, such as high-harmonic generation and lightwave transport. Here, we explore a related novel subcycle regime of ultimately strong light–matter interaction without a coherent driving field. We use the vacuum fluctuations of nanoantennas to drive cyclotron resonances of two-dimensional electron gases to vacuum Rabi frequencies exceeding the carrier frequency. Femtosecond photoactivation of a switch element inside the cavity disrupts this ‘deep-strong coupling’ more than an order of magnitude faster than the oscillation cycle of light. The abrupt modification of the vacuum ground state causes spectrally broadband polarization oscillations confirmed by our quantum model. In the future, this subcycle shaping of hybrid quantum states may trigger cavity-induced quantum chemistry, vacuum-modified transport or cavity-controlled superconductivity, opening new scenarios for non-adiabatic quantum optics.
DOI: 10.5283/epub.43818
title: Data archive of "Quantifying Nanoscale Electromagnetic Fields in Near-Field Microscopy by Fourier Demodulation Analysis"
DOI: 10.34740/kaggle/dsv/2661460
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.5535465
title: Openbenchmarking - Phoronix test suite dataset

description: Data extracted from the openbenchmarking.org website, see https://openbenchmarking.org/ Unzip the data.zip archive to get the raw data. The dataset is two-fold: - The performances of about 400 test profiles (or test suites) in the `suite` directory. Each suite has its own .csv file e.g. pts-ai-benchmark.csv related to the table of performance of this page : https://openbenchmarking.org/test/pts/ai-benchmark . We also provide a dataframe merge.csv with all the raw data, - Hardware metadata, in the `hardware` directory. Each hardware has its own directory, e.g. "AMDEPYC7F328-Core" for the AMD EPYC 7F32 8-Core Processor. This folder contains the output of the 'lscpu' and 'cat /proc/cpuinfo' commands, see the lscpu.txt and the catproc.txt files.
DOI: 10.5281/zenodo.5535464
title: Openbenchmarking - Phoronix test suite dataset

description: Data extracted from the openbenchmarking.org website, see https://openbenchmarking.org/ Unzip the data.zip archive to get the raw data. The dataset is two-fold: - The performances of about 400 test profiles (or test suites) in the `suite` directory. Each suite has its own .csv file e.g. pts-ai-benchmark.csv related to the table of performance of this page : https://openbenchmarking.org/test/pts/ai-benchmark . We also provide a dataframe merge.csv with all the raw data, - Hardware metadata, in the `hardware` directory. Each hardware has its own directory, e.g. "AMDEPYC7F328-Core" for the AMD EPYC 7F32 8-Core Processor. This folder contains the output of the 'lscpu' and 'cat /proc/cpuinfo' commands, see the lscpu.txt and the catproc.txt files.
DOI: 10.6084/m9.figshare.16698106.v1
title: Haliangium ochraceum Encapsulin:Encapsulated Ferritin size-exclusion chromatography

description: Recombinant Haliangium ochraceum encapsulin and encapsulin:encapsulated ferritin complexes were purified by anion exchange and subjected to size-exclusion chromatography. <br>Pooled and concentrated samples from the anion exchange step were loaded on a size exclusion chromatography column (Sephacryl 400, Cytiva) equilibrated with SEC buffer (20 mM HEPES, pH 8.0, 150 mM NaCl).<br>
DOI: 10.6084/m9.figshare.16698106
title: Haliangium ochraceum Encapsulin:Encapsulated Ferritin size-exclusion chromatography

description: Recombinant Haliangium ochraceum encapsulin and encapsulin:encapsulated ferritin complexes were purified by anion exchange and subjected to size-exclusion chromatography. <br>Pooled and concentrated samples from the anion exchange step were loaded on a size exclusion chromatography column (Sephacryl 400, Cytiva) equilibrated with SEC buffer (20 mM HEPES, pH 8.0, 150 mM NaCl).<br>
DOI: 10.15132/10000172
title: Root reinforcement: continuum framework for constitutive modelling – Data repository

description: This dataset contains all data underlying the work presented in the linked Geotechnique journal publication. It contains the result of all experimental work described, as well as all numerical code (mixture of MATLAB, Python and R code) and numerical predictions for all computational models described.
DOI: 10.25345/c58861
title: MassIVE MSV000088170 - Targeted LC-MS human cells metabolomics
title: targeted LC-MS metabolomics of human cells for L18-MDP, MDP and pMDP molecules
DOI: 10.6084/m9.figshare.16696033.v1
title: RNA-Seq mus musculus: bone marrow derived macrophage supplement tables

description: 补充表 1. 6 h 感染与 6 h 未感染的变异 mRNA 补充表 2. 24 h 感染与 24 h 未感染的差异表达 mRNA 附表3。6小时和24小时内所有不同基因所涉及的话题 附表4.STC表达趋势分析 附表 5. Gbp2b_profile_Gene_Pathway 分析 补充表 6. Gbp2b-ComRNA-Pathway <br>
DOI: 10.5281/zenodo.4732887
title: Supplemental Material to Journal Article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers"

description: This set supplements the figure and table data to the article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers", DOI: https://doi.org/10.2514/1.J060444 The Python code to reproduce the results shown in the article is released as v1.0 of the MAMO toolbox for material models DOI: The latest code development can be cloned at https://github.com/mrosemeier/mamo.
DOI: 10.5281/zenodo.4732886
title: Supplemental Material to Journal Article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers"

description: This set supplements the figure and table data to the article "Probabilistic Approach for the Fatigue Strength Prediction of Polymers", DOI: https://doi.org/10.2514/1.J060444 The Python code to reproduce the results shown in the article is released as v1.0 of the MAMO toolbox for material models DOI: The latest code development can be cloned at https://github.com/mrosemeier/mamo.