cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26190/p2xp-6x55
title: Data for "Thermal Processes and their Impact on Surface Related Degradation"

description: Photoconductance carrier lifetime measurements for the paper "Thermal Processes and their Impact on Surface Related Degradation" published in physica status solidi - rapid research letters
description: 156Ã—156 mm 1.6 cm boron doped p-type Czochralski silicon wafers were used. The wafers were textured in a KOH/IPA solution to remove saw damage and texture both surfaces. They were then given an RCA2 clean followed by a HF dip to remove any native oxide before dielectric deposition.All dielectric depositions were carried out in a Meyer Burger MAiA remote PECVD tool. Half of the wafers (Groups 1,2,5) were coated with SiNX:H at a set point of 400oC, with a target thickness of 75 nm and refactive index (RI) of 2.08. The other wafers (Groups 3,4,6) were coated with an AlOX:H/SiNX:H stack. The AlOX:H layer was deposited at a set point of 400oC with a target thickness of 24 nm and RI of 1.588, while the SiNX:H layer was deposited at a set point of 350oC with a target thickness of 80 nm and RI of 2.08. The dielectric deposition parameters match those used in a previous study, which demonstrated no significant SRD without firing.[18]All wafers were fired in a Meyer Burger Camini belt firing furnace with a peak firing set temperature of 855oC. The dielectric layers of wafers from Groups 2,3,5 and 6 were then stripped in a HF solution. Groups 2 and 3 were then re-coated with a SiNX:H layer, while groups 5 and 6 had a fresh AlOX:H/SiNX:H stack deposited. In both cases deposition parameters were identical to those used initially.Wafers were then laser cleaved into 52Ã—52 mm lifetime samples for annealing and light soaking. A hotplate was used to anneal samples from each group at temperatures of 300, 350 and 400oC for 5 or 30 minutes in the dark. Annealed and non-annealed samples were then light soaked in a GSola GCD-4 LID Test chamber at 150oC under 1 sun equivalent illumination.The injection dependent effective carrier lifetime was measured ex-situ throughout light soaking using a Sinton Instruments WCT-120 lifetime tester. MThe measurements were taken with the 1/1 flash and analysed using the generalized method.[25] In order to allow a reasonable comparison between structures with differing initial lifetimes the concept of lifetime equivalent defect density (âˆ†N_leq), also known as normalized defect density,[26] is used:âˆ†N_leq=1/Ï„_eff -1/Ï„_(eff.initial)In this work Ï„_(eff.initial) is taken to be the highest effective lifetime measured either before or during light soaking. In the case of samples passivated with SiNX:H this occurred within the first 2 hours of light soaking, whereas for samples passivated with AlOX:H/SiNX:H stacks the situation was more complicated. Because SRD has the greatest effect on effective lifetime at high injection levels, and to avoid trapping effects, âˆ†N_leq was calculated at a minority carrier density (MCD) of 1Ã—1016 cm-3 in this work.
DOI: 10.26190/m3f9-1n36
title: MRI collection of Functional Conductivity Imaging

description: Using magnetic resonance electrical properties tomography to detect conductivity changes in functional activities
DOI: 10.26190/5df6ae7aa3aeb
title: Factor affecting uptake and use of LARCs among married women

description: Qualitative data set - transcripts of interviews with women
description: One to one, in-depth interviews
DOI: 10.26190/5de9c295a8821
title: Coherent electrical control of a single high-spin nucleus in silicon

description: Raw dataset and analysis scripts accompanying the publication 'Coherent electrical control of a single high-spin nucleus in silicon ' in Nature.
DOI: 10.5281/zenodo.7117894
title: Data for risk factors related to child abuse, Japan

description: Supplemental file for "Risk factors of child abuse during the COVID-19 pandemic in Japan, 2021: A cross-sectional study".
DOI: 10.5281/zenodo.7117893
title: Data for risk factors related to child abuse, Japan

description: Supplemental file for "Risk factors of child abuse during the COVID-19 pandemic in Japan, 2021: A cross-sectional study".
DOI: 10.26190/unsworks/23905
title: A free-running Regional Ocean Modelling System simulation that resolves the M2 surface and internal tides and the varying sub-tidal circulation in the Philippine Sea for 2010

description: We use the Regional Ocean Modeling System (ROMS) to simulate the atmospherically-forced eddying general circulation and the principal lunar, semidiurnal (M2) barotropic and baroclinic tides in the Philippine Sea and the South China Sea (SCS).
description: An Outer and an Inner domain are used as the basis of the model simulations. Both grids have identical bathymetry and horizontal and vertical resolution. The Outer grid encompasses both the Luzon Strait and the Mariana Island Arc thus resolves the remotely generated internal tides from the Mariana Arc under varying mesoscale circulation. The Inner grid receives boundary conditions from the Outer grid and provides a more computationally efficient domain for data assimilation experiments. The models have a variable horizontal resolution, with 8km over most of the domain, and a higher zonal resolution of 4.5km over the Luzon Strait. The Outer model uses boundary and initial conditions from the MERCATOR general ocean circulation model provided by Mercator Ocean of France (www.mercator-ocean.eu). The atmospheric forcing was provided by the National Center for Environmental Prediction's (NCEP) reanalysis atmospheric model to simulate the atmospherically-forced eddying ocean circulation. The M2 tides are included by forcing at the four open boundaries with M2 tidal surface elevation and momentum from the global barotropic tidal model provided by the Oregon State University TOPEX/Poseidon Global Inverse Solution, TPXO7.1. The simulation published here is performed on the Inner domain in which the general ocean circulation and baroclinic tides are applied at the boundaries through nesting with the Outer domain simulation. The free-running simulation of 2010 that resolves the M2 surface and internal tides and the varying sub-tidal circulation for the Philippine Sea and SCS is referred to as the Full case in Kerry et al. 2014 and is defined as the Reference State for Kerry and Powell 2022. The simulation includes the influence of baroclinic tides generated at the Mariana Arc under the varying sub-tidal dynamics and provides a good representation of the subtidal and tidal ocean circulation by comparison with a variety of observations and previous modelling and observation-based studies. For detailed validation of the model's mean flow, mesoscale eddy related variability and surface and internal tide representation the reader is referred to Kerry et al. 2014.
DOI: 10.26190/unsworks/23964
title: North Atlantic conditions during MIS2

description: Climatic conditions during MIS2 as simulated in a transient experiment performed with LOVECLIM (Goosse et al., 2010). The results presented here are published in Rutledal et al., 2022 and show surface climatic conditions during MIS2, particularly at 26.7 ka with a relatively weak but active AMOC (13.7 Sv).
description: A transient experiment of the last glacial period is performed with the Earth system model of intermediate complexity LOVECLIM (Goosse et al., 2010). The model is forced by changes in orbital parameters, greenhouse gases, ice-sheet topography and albedo as detailed in Menviel et al., 2014 (Climate of the Past).
DOI: 10.26190/unsworks/24174
title: MRI collection of brain phase-based magnetic resonance electric properties tomography

description: This dataset contains repeatability test of two MRI sequences for phase-based magnetic resonance electric properties tomography (TSE and bFFE), the effect of Compressed SENSE factors, field mapping and video watching on the precision of conductivity measurement.
description: The repeatability test contains MRI scans of five healthy participants. Each participant underwent two sessions, and each session included *one T1W TFE scan *bFFE scans with Compressed SENSE factors from 1.3 to 12 *one TSE scan The test of field mapping contains MRI scans of four healthy participants. Each participant underwent: *one T1W TFE scan *two bFFE with single-slice 2D DREAM *two bFFE with 3D dual TR *two bFFE with full slice coverage 2D DREAM This test of video watching contains MRI scans of four healthy participants. Each underwent: *two bFFE scans without video watching *two bFFE scans with video watching
DOI: 10.6084/m9.figshare.21218321
title: Supplemental data for "Impaired Cognitive Function in Patients with Autonomous Cortisol Secretion in Adrenal Incidentalomas"

description: Supplemental data to the article "Impaired Cognitive Function in Patients with Autonomous Cortisol Secretion in Adrenal Incidentalomas"
DOI: 10.6084/m9.figshare.21218321.v1
title: Supplemental data for "Impaired Cognitive Function in Patients with Autonomous Cortisol Secretion in Adrenal Incidentalomas"

description: Supplemental data to the article "Impaired Cognitive Function in Patients with Autonomous Cortisol Secretion in Adrenal Incidentalomas"
DOI: 10.5439/1889376
title: camtarmac (a1)

description: camtarmac
DOI: 10.5439/1889377
title: camtarmacmovie (a1)

description: camtarmacmovie
DOI: 10.5439/1889382
title: camgndradpir (a1)

description: camgndradpir
DOI: 10.5439/1889383
title: camgndradpirmovie (a1)

description: camgndradpirmovie
DOI: 10.5439/1889384
title: camgndradpspmovie (a1)

description: camgndradpspmovie
DOI: 10.5439/1889385
title: camgndradpsp (a1)

description: camgndradpsp
DOI: 10.6084/m9.figshare.21218396
title: 0.5cm Tumour data.zip

description: Comprehensive MATLAB-based file for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values to be included with PLOS ONE submission as supporting information.
DOI: 10.6084/m9.figshare.21218396.v1
title: 0.5cm Tumour data.zip

description: Comprehensive MATLAB-based file for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values to be included with PLOS ONE submission as supporting information.
DOI: 10.6084/m9.figshare.21218405
title: Data_Romberg

description: <em><strong>kiểm tra cân bằng giúp hỗ trợ sàng lọc bệnh nhân rối loạn tiền đình</strong></em>
DOI: 10.6084/m9.figshare.21218405.v1
title: Data_Romberg

description: <em><strong>kiểm tra cân bằng giúp hỗ trợ sàng lọc bệnh nhân rối loạn tiền đình</strong></em>
DOI: 10.25440/smu.21185965
title: Data from: An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning

description: PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" This repository contains the PyTorch implementation for the ECCV 2020 Paper "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning". Few-shot learning aims to train efficient predictive models with a few examples. The lack of training data leads to poor models that perform high-variance or low-confidence predictions. In this paper, we propose to meta-learn the ensemble of epoch-wise empirical Bayes models (E3BM) to achieve robust predictions. "Epoch-wise" means that each training epoch has a Bayes model whose parameters are specifically learned and deployed. "Empirical" means that the hyperparameters, e.g., used for learning and ensembling the epoch-wise models, are generated by hyperprior learners conditional on task-specific data. We introduce four kinds of hyperprior learners by considering inductive vs. transductive, and epoch-dependent vs. epoch-independent, in the paradigm of meta-learning. We conduct extensive experiments for five-class few-shot tasks on three challenging benchmarks: miniImageNet, tieredImageNet, and FC100, and achieve top performance using the epoch-dependent transductive hyperprior learner, which captures the richest information. Our ablation study shows that both "epoch-wise ensemble" and "empirical" encourage high efficiency and robustness in the model performance.
DOI: 10.25440/smu.21185965.v1
title: Data from: An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning

description: PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" This repository contains the PyTorch implementation for the ECCV 2020 Paper "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning". Few-shot learning aims to train efficient predictive models with a few examples. The lack of training data leads to poor models that perform high-variance or low-confidence predictions. In this paper, we propose to meta-learn the ensemble of epoch-wise empirical Bayes models (E3BM) to achieve robust predictions. "Epoch-wise" means that each training epoch has a Bayes model whose parameters are specifically learned and deployed. "Empirical" means that the hyperparameters, e.g., used for learning and ensembling the epoch-wise models, are generated by hyperprior learners conditional on task-specific data. We introduce four kinds of hyperprior learners by considering inductive vs. transductive, and epoch-dependent vs. epoch-independent, in the paradigm of meta-learning. We conduct extensive experiments for five-class few-shot tasks on three challenging benchmarks: miniImageNet, tieredImageNet, and FC100, and achieve top performance using the epoch-dependent transductive hyperprior learner, which captures the richest information. Our ablation study shows that both "epoch-wise ensemble" and "empirical" encourage high efficiency and robustness in the model performance.
DOI: 10.34740/kaggle/dsv/4258127
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.21218462
title: 0.75cm Tumour data.zip

description: Comprehensive MATLAB-based file (CERR) for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values for PLOS ONE publication.
DOI: 10.6084/m9.figshare.21218482
title: Additional file 1 of Efficient updating of regional supply and use tables with the national-level statistics

description: Additional file 1. See details in Supplementary data file, tab S1.
DOI: 10.6084/m9.figshare.21218482.v1
title: Additional file 1 of Efficient updating of regional supply and use tables with the national-level statistics

description: Additional file 1. See details in Supplementary data file, tab S1.
DOI: 10.6084/m9.figshare.21218474
title: 1cm Tumour data.zip

description: Comprehensive MATLAB-based file (CERR) for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values.
DOI: 10.6084/m9.figshare.21218507
title: House Price

description: House price prediction dataset
DOI: 10.6084/m9.figshare.21218525
title: S1 Data.xlsx

description: <strong>Evaluation indicators system of culture and tourism integration efficiency</strong>
DOI: 10.6084/m9.figshare.21218525.v1
title: S1 Data.xlsx

description: <strong>Evaluation indicators system of culture and tourism integration efficiency</strong>
DOI: 10.6084/m9.figshare.21218531.v1
title: Untitled Item

description: <strong>Influencing Factors of Culture and Tourism Integration Efficiency</strong>
DOI: 10.6084/m9.figshare.21218531
title: S2 Data.xlsx

description: <strong>Influencing Factors of Culture and Tourism Integration Efficiency</strong>
DOI: 10.6084/m9.figshare.21218531.v3
title: S2 Data.xlsx

description: <strong>Influencing Factors of Culture and Tourism Integration Efficiency</strong>
DOI: 10.6084/m9.figshare.21218531.v2
title: S2 Data

description: <strong>Influencing Factors of Culture and Tourism Integration Efficiency</strong>
DOI: 10.25909/14482980.v4
title: ForceID Dataset A

description: <strong>Force ID Dataset A</strong> (the dataset for ‘Deep Metric Learning for Scalable Gait Based Person Re-identification Using Force Platform Data’) <strong>will be posted shortly</strong>. Please see version 3 for the dataset used in the TechRxiv pre-print article, 'The Most Discriminant Components of Force Platform Data for Gait Based Person Re-identification' (10.36227/techrxiv.16683229.v1).
DOI: 10.6084/m9.figshare.21218543
title: raw data

description: raw data
DOI: 10.21227/ky0w-fp32
title: Bone Scan Image Semantic Segmentation

description: This dataset contains bone scan image and its segmentation mask. The segmentation mask is made for the purpose of detecting metastases on bone scan images
DOI: 10.5281/zenodo.7103050
title: Dataset of "Vertical-Wind-Induced Cloud Opacity Variation in Low Latitudes Simulated by a Venus GCM"

description: This dataset contains the GrADS data of Venus GCM results used for figures in the paper "Vertical-Wind-Induced Cloud Opacity Variation in Low Latitudes Simulated by a Venus GCM" by H. Karyu et al. (2022). The file 'dataset_day1' contains the three-dimensional (X: longitude, Y: latitude, Z:altitude (km)) data of temperature (unit: K), zonal wind velocity (unit: m/s), meridional wind velocity (unit: m/s), vertical wind velocity (unit: m/s), geopotential height (unit: m), cloud mass mixing ratio of mode 1, 2, 2', 3 particles, mass mixing ratio of sulfuric acid, air density (unit: kg/m<sup>3</sup>), cloud mass mixing ratio changing rate of mode 1, 2, 2', 3 particles (unit: 1/s), in snapshots of every 3 hours for the periods of the first Venusian days (117 Earth days). The file 'dataset_day2' contains the same for the second Venusian days. The file 'cloudtau-wc' contains three-dimensional (X: longitude, Y: latitude, Z:altitude (km)) data of column-integrated optical depth (COD) of mode 1, 2, 2' 3 particles and column mass abundance of mode 1, 2, 2' 3 particles (unit: kg/m<sup>2</sup>), in snapshots of every 3 hours for the periods of 2 Venusian days (334 Earth days). The COD at each altitude corresponds to the integrated value from the top of the atmosphere, and the column mass abundance of each altitude corresponds to the integrated value from the bottom of the atmosphere. The COD is calculated with the cloud mass mixing ratio stored in the file ‘dataset’ and extinction efficiency shown in the paper. The file 'stf-wc' contains two-dimensional (Y: latitude, Z:altitude (km)) data of mass stream function (unit: kg/s) and residual mass stream function (unit: kg/s), in snapshots of every 3 hours for the periods of 2 Venusian days (334 Earth days). One should refer to Holton (2004) for the definition of the (residual) mass stream function. The files 'dataset_comp' and 'taudataset_comp' are composite mean data of 'dataset' and 'cloudtau-wc', respectively, in snapshots of every 3 hours for the period of 30 days starting from day 86 of the simulation (Earth day). The composite mean is calculated by averaging atmospheric parameters with respect to the frame moving at the rotation period of 7.1-day. The file ‘scripts’ contains FORTRAN scripts and some additional files to derive the atmospheric parameters stored in 'cloudtau-wc’, 'stf-wc’, 'dataset_comp' and ‘taudataset_comp' from the GCM output file ‘dataset’. Please refer to the ‘README.txt’ contained in ‘scripts’ for how to use FORTRAN scripts, required input files and their output. The .tar.xz files can be extracted in Linux with 'tar Jxvf' command, and .grd and .ctl files with the same stem are generated.
description: {"references": ["Holton, J. R. (2004). An introduction to dynamic meteorology 5th edition. Academic Press, 552 pp."]}
DOI: 10.5281/zenodo.7103049
title: Dataset of "Vertical-Wind-Induced Cloud Opacity Variation in Low Latitudes Simulated by a Venus GCM"

description: This dataset contains the GrADS data of Venus GCM results used for figures in the paper "Vertical-Wind-Induced Cloud Opacity Variation in Low Latitudes Simulated by a Venus GCM" by H. Karyu et al. (2022). The file 'dataset_day1' contains the three-dimensional (X: longitude, Y: latitude, Z:altitude (km)) data of temperature (unit: K), zonal wind velocity (unit: m/s), meridional wind velocity (unit: m/s), vertical wind velocity (unit: m/s), geopotential height (unit: m), cloud mass mixing ratio of mode 1, 2, 2', 3 particles, mass mixing ratio of sulfuric acid, air density (unit: kg/m<sup>3</sup>), cloud mass mixing ratio changing rate of mode 1, 2, 2', 3 particles (unit: 1/s), in snapshots of every 3 hours for the periods of the first Venusian days (117 Earth days). The file 'dataset_day2' contains the same for the second Venusian days. The file 'cloudtau-wc' contains three-dimensional (X: longitude, Y: latitude, Z:altitude (km)) data of column-integrated optical depth (COD) of mode 1, 2, 2' 3 particles and column mass abundance of mode 1, 2, 2' 3 particles (unit: kg/m<sup>2</sup>), in snapshots of every 3 hours for the periods of 2 Venusian days (234 Earth days). The COD at each altitude corresponds to the integrated value from the top of the atmosphere, and the column mass abundance of each altitude corresponds to the integrated value from the bottom of the atmosphere. The COD is calculated with the cloud mass mixing ratio stored in the file ‘dataset’ and extinction efficiency shown in the paper. The file 'stf-wc' contains two-dimensional (Y: latitude, Z:altitude (km)) data of mass stream function (unit: kg/s) and residual mass stream function (unit: kg/s), in snapshots of every 3 hours for the periods of 2 Venusian days (234 Earth days). One should refer to Holton (2004) for the definition of the (residual) mass stream function. The files 'dataset_comp' and 'taudataset_comp' are composite mean data of 'dataset' and 'cloudtau-wc', respectively, in snapshots of every 3 hours for the period of 30 days starting from day 86 of the simulation (Earth day). The composite mean is calculated by averaging atmospheric parameters with respect to the frame moving at the rotation period of 7.1-day. The file ‘scripts’ contains FORTRAN scripts and some additional files to derive the atmospheric parameters stored in 'cloudtau-wc’, 'stf-wc’, 'dataset_comp' and ‘taudataset_comp' from the GCM output file ‘dataset’. Please refer to the ‘README.txt’ contained in ‘scripts’ for how to use FORTRAN scripts, required input files and their output. The .tar.xz files can be extracted in Linux with 'tar Jxvf' command, and .grd and .ctl files with the same stem are generated.
description: {"references": ["Holton, J. R. (2004). An introduction to dynamic meteorology 5th edition. Academic Press, 552 pp."]}
DOI: 10.26188/21130450
title: Appendix_A.2.xlsx

description: Characteristics and results of reviewed articles for the systematic review on '<em>Coxiella burnetii </em>in the environment: A systematic review and critical appraisal of sampling methods'
DOI: 10.26188/21130450.v1
title: Appendix_A.2.xlsx

description: Characteristics and results of reviewed articles for the systematic review on '<em>Coxiella burnetii </em>in the environment: A systematic review and critical appraisal of sampling methods'
DOI: 10.5519/qd.fgw96pq5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.21213170
title: NSCLC Raw Matrix

description: Raw counts matrix from the RNA assay of the final dataset.
DOI: 10.6084/m9.figshare.21218192
title: Integrated data matrix

description: Normalized data matrix extracted from the final integrated dataset.
DOI: 10.6084/m9.figshare.21218192.v1
title: Integrated data matrix

description: Normalized data matrix extracted from the final integrated dataset.
DOI: 10.6084/m9.figshare.21213170.v1
title: NSCLC Raw Matrix

description: Raw counts matrix from the RNA assay of the final dataset.
DOI: 10.6084/m9.figshare.21202220
title: Final dataset metadata

description: Metadata of the integrated dataset
DOI: 10.6084/m9.figshare.21219092
title: prediction parameters in spatial forms

description: Dear reviewer: This is the data collection of parameters in spatial forms used for land use prediction.
DOI: 10.6084/m9.figshare.21219092.v2
title: prediction parameters in spatial forms

description: Dear reviewer: This is the data collection of parameters in spatial forms used for land use prediction.
DOI: 10.6084/m9.figshare.21219092.v1
title: prediction parameters in spatial forms

description: Dear reviewer: This is the data collection of parameters in spatial forms used for land use prediction.
DOI: 10.6084/m9.figshare.21218921
title: Library NGS data

description: Library NGS data
DOI: 10.6084/m9.figshare.21218921.v1
title: Library NGS data

description: Library NGS data