cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/nwgvf3/er5h5y
title: S1_raw_images.pdf

description: :unav
DOI: 10.25625/nwgvf3/hh5dpe
title: S2_Data_Reporting.tab

description: Numerical source data table for all graphs in Trevisiol and Kusch et al.
DOI: 10.25625/nwgvf3
title: Replication Data for: Low axonal ATP-levels, but rapid recovery from energy deprivation, in Proteolipid protein (PLP)-deficient mice with structural myelin defects

description: S1: Full size immunoblot data used for Figure 6A of Trevisiol and Kusch et al. S2: Numerical source data table for all graphs presented in Trevisiol and Kusch et al.
DOI: 10.25387/g3.12186105
title: Supplemental Material for Montanari et al., 2020

description: Supplemental material includes one figure, four datasets, and five files.Figure S1 contains pedigree network of the pear cultivars<br>Table S1 contains the list of genotypes samplesTable S2 contains the list of duplicated samples<br>Table S3 contains the inferred parentage of each accessions<br>Table S4 contains the subpopulation memberships and proposed re-classification<br>Files S1-S5 are the input files for interactive pedigree visualization in Helium<br>
DOI: 10.25387/g3.12186105.v1
title: Supplemental Material for Montanari et al., 2020

description: Supplemental material includes one figure, four datasets, and five files.Figure S1 contains pedigree network of the pear cultivars<br>Table S1 contains the list of genotypes samplesTable S2 contains the list of duplicated samples<br>Table S3 contains the inferred parentage of each accessions<br>Table S4 contains the subpopulation memberships and proposed re-classification<br>Files S1-S5 are the input files for interactive pedigree visualization in Helium<br>
DOI: 10.5281/zenodo.3924225
title: Cumberland River Dam Break Inundation Areas obtained with DSS-WISE

description: This dataset corresponds to the inundation areas obtained with DSS-WISE for dam failure simulations in the Cumberland River Basin in the United States (in shapefie format). The dam names, National Inventory of Dams (NID) IDs and characteristics are included in the file TestDams.csv. This file also includes the relation between the shapefile file names and the dams.The folder includes the reports generated by DSS-WISE, which include the simulation parameters, and the Human Consequence (HCOM) reports.
DOI: 10.5281/zenodo.3924224
title: Cumberland River Dam Break Inundation Areas obtained with DSS-WISE

description: This dataset corresponds to the inundation areas obtained with DSS-WISE for dam failure simulations in the Cumberland River Basin in the United States (in shapefie format). The dam names, National Inventory of Dams (NID) IDs and characteristics are included in the file TestDams.csv. This file also includes the relation between the shapefile file names and the dams.The folder includes the reports generated by DSS-WISE, which include the simulation parameters, and the Human Consequence (HCOM) reports.
DOI: 10.21227/p3bq-8q87
title: Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

description: Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"
DOI: 10.5281/zenodo.3948334
title: Results spreadsheet

description: <strong>The clinical efficacy of midline catheters – a prospective, randomised, active-controlled study</strong>
DOI: 10.5281/zenodo.3948333
title: Results spreadsheet

description: <strong>The clinical efficacy of midline catheters – a prospective, randomised, active-controlled study</strong>
DOI: 10.5281/zenodo.3948342
title: EMUE-D1-4-KeyComparisonGaugeBlocks

description: This example illustrates the minimal adjustment of CMC (calibration and measurement capability) uncertainty claims so they are supported by the results of a key comparison (KC). Application is made to KC CCL.K-2, gauge block measurement. Files contained in the dataset: EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.pdf EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.tex: LaTeX file to be compiled in order to produce Item 1 EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.zip: zip file generated when compiling A121_Report.tex Files also needed for LaTeX compilation: CompendiumA121.bib, mgcrefs.bib, mybib.bib (bibliography files), CCLK2(Square).jpg, EMUELogo-03.jpg, EurametLogo.png (graphics files) MATLAB script for calculation: CMCreassessment.m input.txt: input data output.txt: output data Readme.txt: read me file for running CMCreassessment.m
description: The example relies on the publication:  Katsuhiro Shirono and Maurice Cox. Statistical reassessment of calibration and measurement capabilities based on key comparison results. Metrologia, 56(4):045001, 2019 and relates to the provisions of the MRA:  BIPM 1999 Mutual recognition of national measurement standards and of measurement certificates issued by national metrology institutes (MRA) Technical Report Bureau International des Poids et Mesures, Sèvres, France
DOI: 10.5281/zenodo.3948341
title: EMUE-D1-4-KeyComparisonGaugeBlocks

description: This example illustrates the minimal adjustment of CMC (calibration and measurement capability) uncertainty claims so they are supported by the results of a key comparison (KC). Application is made to KC CCL.K-2, gauge block measurement. Files contained in the dataset: EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.pdf EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.tex: LaTeX file to be compiled in order to produce Item 1 EMUE_A1_1_5_Statistical reassessment of CMCs based on KC results.zip: zip file generated when compiling A121_Report.tex Files also needed for LaTeX compilation: CompendiumA121.bib, mgcrefs.bib, mybib.bib (bibliography files), CCLK2(Square).jpg, EMUELogo-03.jpg, EurametLogo.png (graphics files) MATLAB script for calculation: CMCreassessment.m input.txt: input data output.txt: output data Readme.txt: read me file for running CMCreassessment.m
description: The example relies on the publication:  Katsuhiro Shirono and Maurice Cox. Statistical reassessment of calibration and measurement capabilities based on key comparison results. Metrologia, 56(4):045001, 2019 and relates to the provisions of the MRA:  BIPM 1999 Mutual recognition of national measurement standards and of measurement certificates issued by national metrology institutes (MRA) Technical Report Bureau International des Poids et Mesures, Sèvres, France
DOI: 10.25919/5f1076db261b3
title: Parkes observations for project P595 semester 2020APRS_11

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.18112/openneuro.ds001814.v1.0.7
title: Neuroanatomical correlates of approach-avoidance conflict (fMRI)
DOI: 10.21227/spq1-em13
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for robotic lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for human locomotion environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system during the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented community-based platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. In Preparation.
DOI: 10.21227/p818-mk68
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for robotic lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for human locomotion environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system during the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented community-based platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. In Preparation.
DOI: 10.21227/d0cy-ss85
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for robotic lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for human locomotion environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system during the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented community-based platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. In Preparation.
DOI: 10.21227/q8wr-p163
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for robotic lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for human locomotion environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system during the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented community-based platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. In Preparation.
DOI: 10.25386/genetics.12661226
title: Supplemental Material for Kannangara et al., 2020

description: Figure S1 contains PG morphology and size data. Figure S2 contains food consumption data.
DOI: 10.25386/genetics.12661226.v1
title: Supplemental Material for Kannangara et al., 2020

description: Figure S1 contains PG morphology and size data. Figure S2 contains food consumption data.
DOI: 10.5519/qd.b75gps12
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.13012/b2idb-6955387_v1
title: Vlad's Datasets
DOI: 10.5519/qd.2wkelpec
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (33 records)
DOI: 10.6084/m9.figshare.12472913.v3
title: Aesthetic-Based Mystery-Evoking Appeal in Advertising

description: Data sets are for the research focusing on aesthetic-based mystery-evoking appeal on consumers.
DOI: 10.15468/m72aza
title: Morpho-molecular diversity of Linocarpaceae (Chaetosphaeriales): Claviformispora gen. nov. from decaying branches of Phyllostachys heteroclada

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xu, Xiu-Lan, Yang, Chun-Lin, Jeewon, Rajesh, Wanasinghe, Dhanushka N., Liu, Ying-Gao, Xiao, Qian-Gang (2020): Morpho-molecular diversity of Linocarpaceae (Chaetosphaeriales): Claviformispora gen. nov. from decaying branches of Phyllostachys heteroclada. MycoKeys 70: 1-17, DOI: http://dx.doi.org/10.3897/mycokeys.70.54231, URL: http://dx.doi.org/10.3897/mycokeys.70.54231
DOI: 10.15468/tavyav
title: Aristolochia yachangensis, a new species of Aristolochiaceae from limestone areas in Guangxi, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Luo, Ya Jin, Ni, Shi Dong, Jiang, Qiang, Huang, Bo Gao, Liu, Yan, Huang, Yu Song (2020): Aristolochia yachangensis, a new species of Aristolochiaceae from limestone areas in Guangxi, China. PhytoKeys 153: 49-61, DOI: http://dx.doi.org/10.3897/phytokeys.153.52796, URL: http://dx.doi.org/10.3897/phytokeys.153.52796
DOI: 10.15468/xwstc2
title: Several new records, synonyms, and hybrid-origin of Chinese begonias

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tian, Dai-Ke, Xiao, Yan, Li, Yan-Ci, Yan, Ke-Jian (2020): Several new records, synonyms, and hybrid-origin of Chinese begonias. PhytoKeys 153: 13-35, DOI: http://dx.doi.org/10.3897/phytokeys.153.50805, URL: http://dx.doi.org/10.3897/phytokeys.153.50805
DOI: 10.15468/8sxch8
title: Camellia puhoatensis (Sect. Archecamellia - Theaceae), a new species from Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nguy ễn 1, Danh-Hung, Lương 2, Văn-Dũng, Le 3, Thi-Hương, Tr ần 4, Qu ốc-Thanh, Đ ỗ 1,5, Ng ọc-Đai, Ly 1,6, Ng ọc-Sam (2020): Camellia puhoatensis (Sect. Archecamellia - Theaceae), a new species from Vietnam. PhytoKeys 153: 1-11, DOI: http://dx.doi.org/10.3897/phytokeys.153.49388, URL: http://dx.doi.org/10.3897/phytokeys.153.49388
DOI: 10.25387/g3.12174468
title: Supplemental Material for Yellman, 2020

description: Supplemental data files for a manuscript
DOI: 10.25387/g3.12174468.v2
title: Supplemental Material for Yellman, 2020

description: Supplemental data files for a manuscript
DOI: 10.25387/g3.12174468.v1
title: Supplemental Material for Yellman, 2020

description: Supplemental data files for a manuscript
DOI: 10.15468/gsmc7r
title: A review of Calypogeia (Marchantiophyta) in the eastern Sino-Himalaya and Meta-Himalaya based mostly on types

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bakalin, Vadim A., Klimova, Ksenia G., Nguyen, Van Sinh (2020): A review of Calypogeia (Marchantiophyta) in the eastern Sino-Himalaya and Meta-Himalaya based mostly on types. PhytoKeys 153: 111-154, DOI: http://dx.doi.org/10.3897/phytokeys.153.52920, URL: http://dx.doi.org/10.3897/phytokeys.153.52920
DOI: 10.15468/g4hut3
title: Paraboea dolomitica (Gesneriaceae), a new species from Guizhou, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Guo, Zhiyou, Wu, Zhaowen, Xu, Weibin, Li, Zhenyu, Xiang, Xiaoguo (2020): Paraboea dolomitica (Gesneriaceae), a new species from Guizhou, China. PhytoKeys 153: 37-48, DOI: http://dx.doi.org/10.3897/phytokeys.153.50933, URL: http://dx.doi.org/10.3897/phytokeys.153.50933
DOI: 10.6084/m9.figshare.12472913.v4
title: Aesthetic-Based Mystery-Evoking Appeal in Advertising

description: Data sets are for the research focusing on aesthetic-based mystery appeal on consumers.
DOI: 10.5281/zenodo.3948466
title: Gravitational-Wave Lunar Observatory for Cosmology (Sensitivity Curves)

description: Sensitivity noise curves for the lunar-based gravitational-wave detector GLOC. GLOC_optimal.txt refers to the optimal case of sensitivity down to f=0.25 Hz GLOC_conservative.txt refers to the conservative case of sensitivity down to f=1 Hz The first column in the file is the frequency (in Hz) and the second is the detector strain (in 1/sqrt(Hz))
DOI: 10.5281/zenodo.3948465
title: Gravitational-Wave Lunar Observatory for Cosmology (Sensitivity Curves)

description: Sensitivity noise curves for the lunar-based gravitational-wave detector GLOC. GLOC_optimal.txt refers to the optimal case of sensitivity down to f=0.25 Hz GLOC_conservative.txt refers to the conservative case of sensitivity down to f=1 Hz The first column in the file is the frequency (in Hz) and the second is the detector strain (in 1/sqrt(Hz))
DOI: 10.5281/zenodo.3948263
title: PRISMAL - Results

description: This study models prospective environmental impacts of primary aluminum production according to different integrated assessment modeling scenarios building on different Shared Socioeconomic Pathways and their climate change mitigation scenarios. The dataset regroup all results calculated by my PRISMAL model. The code and primary data to calculate those results are available at : https://github.com/jpedneault/PRISMAL
DOI: 10.21227/12hp-e249
title: Human Leg Kinematics, Kinetics, and EMG during Phase-Shifting Perturbations at Varying Inclines

description: This dataset contains joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. This data was collected to evaluate the robustness of different parameterization variables during perturbations for application in robotic prosthetic legs. Ten able-bodied subjects self-selected a comfortable speed for walking on level (0 degree), +5 degree, and -5 degree inclines. Subjects walked at the self-selected speed for a minute without perturbations to produce a control dataset of unperturbed kinematics. From this control data, the average stance time was calculated for each subject to define a normalized time window between 0 and 80% of stance. Then, 100 uniformly distributed times were sampled from this window to determine the perturbation onset times, i.e., the amount of delay between heel strike and perturbation onset. For perturbation trials, subjects walked at the same speed for 20-25 minutes, broken into 5 sets of 4-5 minutes for each slope. During each trial, a 10-camera Vicon motion capture system recorded leg kinematics, while force plates in a Bertec split-belt treadmill recorded ground reaction forces, and a Delsys Trigno EMG system recorded muscle activation of the rectus femoris, biceps femoris, tibialis anterior, and gastrocnemius.
DOI: 10.21227/w1zn-h865
title: Human Leg Kinematics, Kinetics, and EMG during Phase-Shifting Perturbations at Varying Inclines

description: This dataset contains joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. This data was collected to evaluate the robustness of different parameterization variables during perturbations for application in robotic prosthetic legs. Ten able-bodied subjects self-selected a comfortable speed for walking on level (0 degree), +5 degree, and -5 degree inclines. Subjects walked at the self-selected speed for a minute without perturbations to produce a control dataset of unperturbed kinematics. From this control data, the average stance time was calculated for each subject to define a normalized time window between 0 and 80% of stance. Then, 100 uniformly distributed times were sampled from this window to determine the perturbation onset times, i.e., the amount of delay between heel strike and perturbation onset. For perturbation trials, subjects walked at the same speed for 20-25 minutes, broken into 5 sets of 4-5 minutes for each slope. During each trial, a 10-camera Vicon motion capture system recorded leg kinematics, while force plates in a Bertec split-belt treadmill recorded ground reaction forces, and a Delsys Trigno EMG system recorded muscle activation of the rectus femoris, biceps femoris, tibialis anterior, and gastrocnemius.
DOI: 10.21227/5dy0-ww03
title: Human Leg Kinematics, Kinetics, and EMG during Phase-Shifting Perturbations at Varying Inclines

description: This dataset contains joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. This data was collected to evaluate the robustness of different parameterization variables during perturbations for application in robotic prosthetic legs. Ten able-bodied subjects self-selected a comfortable speed for walking on level (0 degree), +5 degree, and -5 degree inclines. Subjects walked at the self-selected speed for a minute without perturbations to produce a control dataset of unperturbed kinematics. From this control data, the average stance time was calculated for each subject to define a normalized time window between 0 and 80% of stance. Then, 100 uniformly distributed times were sampled from this window to determine the perturbation onset times, i.e., the amount of delay between heel strike and perturbation onset. For perturbation trials, subjects walked at the same speed for 20-25 minutes, broken into 5 sets of 4-5 minutes for each slope. During each trial, a 10-camera Vicon motion capture system recorded leg kinematics, while force plates in a Bertec split-belt treadmill recorded ground reaction forces, and a Delsys Trigno EMG system recorded muscle activation of the rectus femoris, biceps femoris, tibialis anterior, and gastrocnemius. Citation:R. Macaluso, K. Embry, D. Villarreal, R.D. Gregg, “Parameterizing Human Locomotion Across Quasi-Random Treadmill Perturbations and Inclines,” IEEE Transactions on Neural Systems and Rehabilitation Engineering