cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5ef5a84f0edf5
title: Parkes observations for project P1063 semester 2020APRS_08

description: We propose to use the Parkes UWL receiver for monitoring a small sub-set of the FAST-discovered pulsars, with special properties. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths. The observation proposed will provide significant insight into the special emission properties of these new discoveries and facilitate science.
DOI: 10.25919/5ef5a84f0f696
title: Parkes observations for project P1050 semester 2020APRS_20

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed a first pass re-processing of the 60 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered potential 54 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This follow-up and timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space.
DOI: 10.5281/zenodo.3660004
title: Data file for the paper: Colleen Jackson, Leonard Raymakers, Martijn Mulder and Anthony RJ Kucernak, "Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps", Applied Catalysis B: Environmental, 2020, https://doi.org/10.1016/j.apcatb.2020.118734

description: This Excel spreadsheet contains the data used in generation of the figures in the paper Article title: Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps Journal title: Applied Catalysis B: Environmental, 2020 Corresponding author: Professor ARJ Kucernak First author: Dr. C. Jackson First published version available online: 7-FEB-2020 DOI information: 10.1016/j.apcatb.2020.118734
DOI: 10.5281/zenodo.3660003
title: Data file for the paper: Colleen Jackson, Leonard Raymakers, Martijn Mulder and Anthony RJ Kucernak, "Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps", Applied Catalysis B: Environmental, 2020, https://doi.org/10.1016/j.apcatb.2020.118734

description: This Excel spreadsheet contains the data used in generation of the figures in the paper Article title: Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps Journal title: Applied Catalysis B: Environmental, 2020 Corresponding author: Professor ARJ Kucernak First author: Dr. C. Jackson First published version available online: 7-FEB-2020 DOI information: 10.1016/j.apcatb.2020.118734
DOI: 10.5281/zenodo.3908602
title: Linha do tempo COVID-19 no Brasil [planilha integral]

description: Planilha de notícias da grande mídia ocorridas desde o primeiro caso de COVID-19 no Brasil até o momento [23 jun 2020]. A planilha é o <em>dataset</em> base para a timeline (usando tecnologia Timeline JS do KnightLab da Northwestern University, EUA) publicada no portal do Ministério da Ciência, Tecnologia e Inovações no combate à COVID-19 &lt;http://covid19.mctic.gov.br/graf/&gt;. Neste <em>dataset</em> está presente o conteúdo da timeline completa.
description: Pesquisa realizada no âmbito do Laboratório em Rede de Humanidades Digitais (LARHUD), IBICT. Com apoio (financiamento) do CNPq e da FAPERJ.
DOI: 10.5281/zenodo.3906445
title: Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic

description: Dataset from LIFE-MEDEA participants (asthmatic children) from Cyprus and Greece, including Study ID, gender, age, study year, ambient temperature, ambient humidity, recording day, percentage of time staying at home, steps per day, callendar day, calendar week, date, lockdown status (phase 1, 2, or 3) due to COVID-19 pandemic, and if the date was during the weekend (binary variable).
DOI: 10.5281/zenodo.3906444
title: Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic

description: Dataset from LIFE-MEDEA participants (asthmatic children) from Cyprus and Greece, including Study ID, gender, age, study year, ambient temperature, ambient humidity, recording day, percentage of time staying at home, steps per day, callendar day, calendar week, date, lockdown status (phase 1, 2, or 3) due to COVID-19 pandemic, and if the date was during the weekend (binary variable).
DOI: 10.5258/soton/d1306
title: Dataset for: Teleseismic Rayleigh Wave Amplitude and Phase Data for VOILA Experiment

description: Dataset supports: Cooper, G.F., Macpherson, C.G., Blundy, J.D. et al. Variable water input controls evolution of the Lesser Antilles volcanic arc. Nature 582, 525–529 (2020). https://doi.org/10.1038/s41586-020-2407-5 The data contains input data files for the two plane wave tomography code of Forsyth, D. W. & Li, A. in Seismic Data Analysis and Imaging with Global and Local Arrays AGU Geophysical Monograph (eds A. Levander & G. Nolet) (AGU Monograph, 2005). Files are named phampcorrdp.XXX- XXX indicates the period. The files are plain text. The files are organized as follows- (for each event used) event id number of stations (then for each station) begin_time station_id_number dist(km) azimuth(deg) back_azimuth(deg) dist(deg) station_lat station_lon amplitude(normalized) phase(cycle)
DOI: 10.6084/m9.figshare.12570569.v1
title: test test

description: aaaa
DOI: 10.5258/soton/d0884
title: Dataset for "Topological carbon allotropes: a proposal for materials innovation"

description: Dataset supports: Saito, S., & Tomita, I. (2020). Topological carbon allotropes: knotted molecules, carbon-nano-chain, chainmails, and Hopfene. Materials Research Express. TEXT data in the Excel format
DOI: 10.6084/m9.figshare.12570569.v2
title: test test

description: aaaa
DOI: 10.5258/soton/d1172
title: Dataset for: Modelling Reliable Electrical Conductors for E-Textile Circuits on Polyimide Filaments

description: Dataset supports: Komolafe, A., Torah, R., Tudor, M., & Beeby, S. (2020). Modelling reliable electrical conductors for e-textile circuits on polyamide filaments. In E-Textiles 2019: International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles. Multidisciplinary Digital Publishing Institute (MDPI).
DOI: 10.6084/m9.figshare.12570569.v3
title: test test

description: aaaa
DOI: 10.5258/soton/d1444
title: Dataset for DNS analysis of boundary layer flashback in turbulent flow with wall-normal pressure gradient

description: This dataset supports the publication: JR Bailey, ES Richardson (2020). DNS analysis of boundary layer flashback in turbulent flow with wall-normal pressure gradient. Proceedings of the Combustion Institute This dataset contains all of the simulation data used to generate the figures in the main text of the paper.
DOI: 10.5258/soton/d1448
title: Dataset for: Influence of textile structure on the wearability of printed e-textiles

description: Dataset supports: Komolafe, A., Nunes‐matos, H., Glanc-Gostkiewicz, M., & Torah, R. (2020). Influence of textile structure on the wearability of printed e-textiles. To achieve durable printed circuits on textiles, it is necessary to print low-cost polymer films that interface the fabric with the printed circuit. The film smooths the surface of the fabric to enable the printing of thin and flexible conductive films on the fabric. When printed, the thickness of the polymer films can dominate the fabric and limit the flexibility of the printed e-textile. This paper investigates the reduction of the polymer film thickness for printed and wearable e-textiles by controlling the thread count of the fabric using different blends of polyester/silk/cotton fabrics. A 50 µm thick polyurethane interface layer with a surface roughness, Ra value of 1.7 µm is reported on a 100% plain weave polyester fabric. The PU thickness is 4 times less than the state of the art and shows more than 80 % reduction in the proportion of interface material to fabric thickness of the printed e-textile. This minimizes the impact of the printed film on the fabric.
DOI: 10.48531/jbru.calmip/d0pwa8/ivrkhp
title: RF_NI.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/m8tkau
title: RF_LI.tab

description: :unav
DOI: 10.48531/jbru.calmip/d0pwa8/xbbxmt
title: RF_LD.tab

description: :unav
DOI: 10.5281/zenodo.7538284
title: Image Dataset and Trained Detection Models (based on YOLOv5 and EfficientNet) of Mangrove Crabs of China

description: A manually annotated image dataset of crabs collected from 16 mangrove forests in China, and a set of trained detection models based on YOLOv5 and EfficientNet. We provide a simple UI that is designed by us, please cite it if helpful.
description: {"references": ["Ultralytics-YOLOv5 (2022). https://github.com/ultralytics/yolov5", "Tzutalin (2015) LabelImg. Git code. https://github.com/tzutalin/labelImg", "R-Core-Team (2022) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/", "Kuhn, M. (2022) caret: classification and regression training. https://CRAN.R-project.org/package=caret", "Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686", "Hadley Wickham (2007). Reshaping Data with the reshape Package. Journal of Statistical Software, 21(12), 1-20. URL http://www.jstatsoft.org/v21/i12/", "Xiao N (2018). _ggsci: Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'_. R package version 2.9, ", "L\u00fcdecke et al., (2021). see: An R Package for Visualizing Statistical Models. Journal of Open Source Software, 6(64), 3393. https://doi.org/10.21105/joss.03393", "Oksanen J, Simpson G, Blanchet F, Kindt R, Legendre P, Minchin P, O'Hara R, Solymos P, Stevens M, Szoecs E, Wagner H, Barbour M, Bedward M, Bolker B, Borcard D, Carvalho G, Chirico M, De Caceres M, Durand S, Evangelista H, FitzJohn R, Friendly M, Furneaux B, Hannigan G, Hill M, Lahti L, McGlinn D, Ouellette M, Ribeiro Cunha E, Smith T, Stier A, Ter Braak C, Weedon J (2022). _vegan: Community Ecology Package_. R package version 2.6-2, ", "Dray S, Bauman D, Blanchet G, Borcard D, Clappe S, Guenard G, Jombart T, Larocque G, Legendre P, Madi N, Wagner HH (2022). _adespatial: Multivariate Multiscale Spatial Analysis_. R package version 0.3-16, ", "Tan, M. & Le, Q.V. (2019) EfficientNet: Rethinking model scaling for convolutional neural networks. 36th International Conference on Machine Learning, ICML 2019, 2019-June, 10691-10700. https://doi.org/10.48550/arXiv.1905.11946", "Liang, G., Chen, J., Xie, J., Deng, Z. & Cui, Y. (2021) Classification of fine-grained species of marine organisms based on multi-scale fusion. ACM International Conference Proceeding Series, 94-100. https://doi.org/10.1145/3485314.3485321", "Hou, Q., Zhou, D. & Feng, J. (2021) Coordinate attention for efficient mobile network design. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 13708-13717. https://doi.org/10.1109/CVPR46437.2021.01350"]}
DOI: 10.5281/zenodo.7424459
title: Image Dataset and Trained Detection Models (based on YOLOv5 and EfficientNet) of Mangrove Crabs of China

description: A manually annotated image dataset of crabs collected from 16 mangrove forests in China, and a set of trained detection models based on YOLOv5 and EfficientNet. We provide a simple UI that is designed by us, please cite it if helpful.
description: {"references": ["Ultralytics-YOLOv5 (2022). https://github.com/ultralytics/yolov5", "Tzutalin (2015) LabelImg. Git code. https://github.com/tzutalin/labelImg", "R-Core-Team (2022) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/", "Kuhn, M. (2022) caret: classification and regression training. https://CRAN.R-project.org/package=caret", "Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686", "Hadley Wickham (2007). Reshaping Data with the reshape Package. Journal of Statistical Software, 21(12), 1-20. URL http://www.jstatsoft.org/v21/i12/", "Xiao N (2018). _ggsci: Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'_. R package version 2.9, ", "L\u00fcdecke et al., (2021). see: An R Package for Visualizing Statistical Models. Journal of Open Source Software, 6(64), 3393. https://doi.org/10.21105/joss.03393", "Oksanen J, Simpson G, Blanchet F, Kindt R, Legendre P, Minchin P, O'Hara R, Solymos P, Stevens M, Szoecs E, Wagner H, Barbour M, Bedward M, Bolker B, Borcard D, Carvalho G, Chirico M, De Caceres M, Durand S, Evangelista H, FitzJohn R, Friendly M, Furneaux B, Hannigan G, Hill M, Lahti L, McGlinn D, Ouellette M, Ribeiro Cunha E, Smith T, Stier A, Ter Braak C, Weedon J (2022). _vegan: Community Ecology Package_. R package version 2.6-2, ", "Dray S, Bauman D, Blanchet G, Borcard D, Clappe S, Guenard G, Jombart T, Larocque G, Legendre P, Madi N, Wagner HH (2022). _adespatial: Multivariate Multiscale Spatial Analysis_. R package version 0.3-16, ", "Tan, M. & Le, Q.V. (2019) EfficientNet: Rethinking model scaling for convolutional neural networks. 36th International Conference on Machine Learning, ICML 2019, 2019-June, 10691-10700. https://doi.org/10.48550/arXiv.1905.11946", "Liang, G., Chen, J., Xie, J., Deng, Z. & Cui, Y. (2021) Classification of fine-grained species of marine organisms based on multi-scale fusion. ACM International Conference Proceeding Series, 94-100. https://doi.org/10.1145/3485314.3485321", "Hou, Q., Zhou, D. & Feng, J. (2021) Coordinate attention for efficient mobile network design. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 13708-13717. https://doi.org/10.1109/CVPR46437.2021.01350"]}
DOI: 10.6084/m9.figshare.21919932
title: Data.xlsx

description: The file contains the panel data set
DOI: 10.6084/m9.figshare.21919932.v1
title: Data.xlsx

description: The file contains the panel data set
DOI: 10.5281/zenodo.7549414
title: Supplementary Material for Automated Kinetic Models to Predict the Flame Speeds of Halocarbons

description: Supplementary material to accompany the paper "Automated Kinetic Models to Predict the Flame Speeds of Halocarbons" by Nora Khalil, Sevy Harris, Richard H. West, submitted to the 13th U. S. National Combustion Meeting, Organized by the Central States Section of the Combustion Institute, March 19–22, 2023, College Station, Texas. RMG input files.
DOI: 10.5281/zenodo.7549413
title: Supplementary Material for Automated Kinetic Models to Predict the Flame Speeds of Halocarbons

description: Supplementary material to accompany the paper "Automated Kinetic Models to Predict the Flame Speeds of Halocarbons" by Nora Khalil, Sevy Harris, Richard H. West, submitted to the 13th U. S. National Combustion Meeting, Organized by the Central States Section of the Combustion Institute, March 19–22, 2023, College Station, Texas. RMG input files.
DOI: 10.6084/m9.figshare.21431124
title: data.xlsx

description: We collected data from mobile payment service users in Taiwan.
DOI: 10.34740/kaggle/dsv/4864504
title: CK+ Dataset
DOI: 10.7799/1909518
title: TP84227_FS83049_OPData

description: The data set represents the data used for the analysis of operational carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold). A data set for embodied carbon emissions analysis for the same project is in a separate workbook.
DOI: 10.7799/1909519
title: TP84227_FS83049_ECData

description: The data set represents the data used for the analysis of embodied carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold). A data set for operational carbon emissions analysis for the same project is in a separate workbook.
DOI: 10.25982/1909690
title: KBase Educators Handbook

description: The KBase Educators Handbook is a community resource for educators teaching biology, computational biology, and bioinformatics using KBase. The Handbook includes supporting documentation on how to join and access community-developed resources for teaching with KBase, best practices, and guidelines on how to contribute to the KBase Educators Community.
DOI: 10.34740/kaggle/dsv/4870366
title: BART Ridership
DOI: 10.6084/m9.figshare.21919989
title: Random cases & Calculation process

description: This is the scheduling result of 10 randomly generated cases and each case using the three algorithms, and the comparison of the three algorithms is included at the end.
DOI: 10.6084/m9.figshare.21919989.v1
title: Random cases & Calculation process

description: This is the scheduling result of 10 randomly generated cases and each case using the three algorithms, and the comparison of the three algorithms is included at the end.
DOI: 10.6084/m9.figshare.16653046.v2
title: spatial_timeseries_hydrology

description: See README
DOI: 10.6084/m9.figshare.16653052.v2
title: spatial_timeseries_parentmaterial

description: See README
DOI: 10.6084/m9.figshare.16653055.v2
title: spatial_timeseries_terrain

description: See README
DOI: 10.6084/m9.figshare.16653058.v2
title: spatial_timeseries_vegetation

description: See README
DOI: 10.6084/m9.figshare.21391266
title: Coordinates for "Disentangling Global and Local Ring Currents"

description: This dataset contains XYZ files for structures calculated by density functional theory in the paper/preprint "Disentangling Global and Local Ring Currents".
DOI: 10.6084/m9.figshare.21391266.v2
title: Coordinates for "Disentangling Global and Local Ring Currents"

description: This dataset contains XYZ files for structures calculated by density functional theory in the paper/preprint "Disentangling Global and Local Ring Currents".
DOI: 10.6084/m9.figshare.21391266.v1
title: Coordinates for "Disentangling Global and Local Ring Currents"

description: This dataset contains XYZ files for structures calculated by density functional theory in the paper/preprint "Disentangling Global and Local Ring Currents".
DOI: 10.6084/m9.figshare.21587394.v2
title: PRISMA checklist for ‘Do electromagnetic fields significantly affect thyroid cells and their functions? – A systematic review’

description: This data set contains the PRISMA checklist for 'Do electromagnetic fields significantly affect thyroid cells and their functions? – A systematic review'
DOI: 10.34740/kaggle/dsv/4870542
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.21507189.v11
title: CAN5600 & CAN2000 - GAN MODEL WEIGHTS & SYNTHETIC IMAGES

description: DATASET URLs <strong>CAN2000_CAN5600_DEPLOY.zip</strong> DATASET/can2000.csv : url of CAN2000 DATASET/can5600.csv : url of CAN5600 DATASET/download.py : download script Stylegan3-cpu : for generating fakes; not for training <br> cf) The CAN2000 images were partially correctly using LaMa, and the revised images can be requested via the corresponding authors or Dr. Han Seung Seog (whria78@gmail.com). The zipped archive of CAN2000, CAN5600, and LESION130k images can also be requested. GAN MODEL WEIGHTS PKLs.zip C10000.pkl : LESION130k images; pretrained model M500.pkl : GAN5000; melanoma N500.pkl : GAN5000; nevus MN500.pkl : For morphing; melanoma and nevus <br> GAN5000 Dataset mn500.zip : synthetic images (jpg); seed 0~10000 by using MN500.pkl m500.zip : synthetic images (jpg); seed 0~10000 by using M500.pkl n500.zip : synthetic images (jpg); seed 0~10000 by using N500.pkl <br> VIDEO MN500.mp4 : Video showing the process of fine-tuning (0 ticks ~ 500 ticks)
DOI: 10.6084/m9.figshare.21789026
title: Effects of Ganoderma lucidum on Corneal Ulceration_Raw Data.csv

description: Background: This dataset uploaded for public view on this repository are results/data of an experimental animal study conducted to investigate the pharmacological effect of <em>Ganoderma Lucidum (G. lucidum)</em>. Corneal ulcerations pose risks to blindness, and their treatment presents huge challenges, in part due to increased resistance to anti-bacterial drugs, accessibility, and cost issues, particularly in developing countries. This study investigated the pharmacological effect of <em>Ganoderma Lucidum (G. lucidum)</em>, on chemical-induced and bacterial-infected corneal ulceration of rabbits’ eyes. Methods: This was a randomized-controlled experiment of 16 healthy New Zealand rabbits, randomly assigned into four groups (A – D). The right eye cornea was injured using a drop of 1 molar sodium hydroxide and followed by infection with <em>Pseudomonas aeruginosa</em> after 12 hours, in all groups except group A. Treatment with freshly prepared crude aqueous extract of <em>G. lucidum </em>(40μg/ml) for groups A and B, the standard treatment protocol for group C, and atropine alone for group D commenced after 24 hours and continued every four hours for seven days. All data collected, pre- and post-tests, were analysed at α = 0.05 using Wilcoxon signed-rank test for correlated variables and the Mann-Whitney U test for independent variables. All methods applied in this study adhered to the Committee on Animal Research and Ethics’ guideline for ethical conduct in the care and use of animals, including responsible and ethical disposal of animals during clinical and laboratory research. Results: <em>G. lucidum</em> has significant clinical effects (74%) on corneal injury and ulcers (92%). The healing effects observed at the 168th hour were significantly better than those observed at the 24th hour (<em>p </em>&lt; 0.05). Although the difference between the healing effect of the standard treatment and the crude extract was not significant (<em>p </em>&gt; 0.05), the mean effect size was clinically significant (31%). Conclusion: This study demonstrates the potential antimicrobial potential of <em>G. lucidum</em>. <em>G. lucidum</em> which may provide an alternative treatment option for chemical-induced and bacterial-infected corneal ulcers, particularly in resource-constrained countries.
DOI: 10.6084/m9.figshare.16653064.v7
title: watershed_summaries

description: See README
DOI: 10.6084/m9.figshare.16653082.v5
title: README

description: See README
DOI: 10.6084/m9.figshare.19358579.v5
title: data_use_POLICY

description: See README
DOI: 10.6084/m9.figshare.21587394
title: Do electromagnetic fields significantly affect thyroid cells and their functions? – a systematic review from ORSAA database

description: This data set contains the PRISMA checklist for 'Do electromagnetic fields significantly affect thyroid cells and their functions? – A systematic review'
DOI: 10.6084/m9.figshare.21587394.v3
title: Do electromagnetic fields significantly affect thyroid cells and their functions? – a systematic review from ORSAA database

description: This data set contains the PRISMA checklist for 'Do electromagnetic fields significantly affect thyroid cells and their functions? – A systematic review'