cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3871773
title: Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed

description: The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry. This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). https://doi.org/10.1038/s41597-020-00791-w
DOI: 10.5281/zenodo.3871772
title: Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed

description: The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry. This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). https://doi.org/10.1038/s41597-020-00791-w
DOI: 10.5281/zenodo.4432364
title: Covid19 case data August 2020

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of August 2020.
DOI: 10.5281/zenodo.4432175
title: Covid19 case data August 2020

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of August 2020.
DOI: 10.15129/a79b861a-6b9b-4508-b44e-e4b6a00a3fb1
title: Data for: "High-degeneracy Potts coarsening"

description: I examine the fate of a kinetic Potts ferromagnet with a high ground-state degeneracy that undergoes a deep quench to zero-temperature. I consider single spin-flip dynamics on triangular lattices of linear dimension 8 ≤ L ≤ 128 and set the number of spin states q equal to the number of lattice sites L×L. The ground state is the most abundant final state, and is reached with probability ≈ 0.71. Three-hexagon states occur with probability ≈ 0.26, and hexagonal tessellations with more than three clusters form with probabilities of O(10−3 ) or less. Spanning stripe states—where the domain walls run along one of the three lattice directions—appear with probability ≈ 0.03. “Blinker” configurations, which contain perpetually flippable spins, also emerge, but with a probability that is vanishingly small with the system size. Further details on the data can be found in the readme file provided.
DOI: 10.6084/m9.figshare.12765713
title: Velocity model and Catalog

description: This folder contains the 3-D velocity model in the 1969 earthquake doublet area offshore Hainan Island and the catalog of earthquakes in and around Hainan from 2000 to 2012. The V.model and DV.model are the data set of Vp(km/s) model and Vp-perturbation(%) model, respectively. The 2000-2012hainan-eqt.txt is an earthquake catalog.
DOI: 10.5281/zenodo.4432378
title: Covid19 case data September 2020 - The Netherlands

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of September 2020.
DOI: 10.5281/zenodo.4432377
title: Covid19 case data September 2020 - The Netherlands

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of September 2020.
DOI: 10.6084/m9.figshare.12765713.v3
title: Velocity model and Catalog

description: This folder contains the 3-D velocity model in the 1969 earthquake doublet area offshore Hainan Island and the catalog of earthquakes in and around Hainan from 2000 to 2012. The V.model and DV.model are the data set of Vp(km/s) model and Vp-perturbation(%) model, respectively. The 2000-2012hainan-eqt.txt is an earthquake catalog.
DOI: 10.6084/m9.figshare.12765713.v2
title: Velocity model and Catalog

description: This folder contains the 3-D velocity model in the 1969 earthquake doublet area offshore Hainan Island and the catalog of earthquakes in and around Hainan from 2000 to 2012. The V.model and DV.model are the data set of Vp(km/s) model and Vp-perturbation(%) model, respectively. The 2000-2012hainan-eqt.txt is an earthquake catalog.
DOI: 10.6084/m9.figshare.13289399
title: HerbiTraits: Functional traits of the world’s late Quaternary large-bodied avian and mammalian herbivores

description: This dataset describes functional traits that encompass key dimensions of herbivore ecology and its effects on the environment since the pre-extinction late Quaternary (130,000 years before present)
DOI: 10.6084/m9.figshare.13289399.v1
title: HerbiTraits: Functional traits of the world’s late Quaternary large-bodied avian and mammalian herbivores

description: This dataset describes functional traits that encompass key dimensions of herbivore ecology and its effects on the environment since the pre-extinction late Quaternary (130,000 years before present)
DOI: 10.5281/zenodo.4288254
title: Supporting data for 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers'

description: This dataset is used in the manuscript 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers' published in Water Resources Research. The dataset contains hourly observation of water quality in the lower Thames catchment, UK and were made available by the Environment Agency, UK.
DOI: 10.5281/zenodo.4288253
title: Supporting data for 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers'

description: This dataset is used in the manuscript 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers' published in Water Resources Research. The dataset contains hourly observation of water quality in the lower Thames catchment, UK and were made available by the Environment Agency, UK.
DOI: 10.6084/m9.figshare.13548965
title: MOLA and MLA - Remote Sensing Report 2020

description: JMARS crater shapefile and Excel files used to analyse data for my 2020 Remote Sensing Report on MLA and MOLA.
DOI: 10.6084/m9.figshare.13548965.v2
title: MOLA and MLA - Remote Sensing Report 2020

description: JMARS crater shapefile and Excel files used to analyse data for my 2020 Remote Sensing Report on MLA and MOLA.
DOI: 10.6084/m9.figshare.13548965.v1
title: MOLA and MLA - Remote Sensing Report 2020

description: JMARS crater shapefile and Excel file using to analyse data for my 2020 Remote Sensing Report on MLA and MOLA.
DOI: 10.5281/zenodo.4430801
title: SDOML Dataset Not Corrected for Degradation Over Time

description: This dataset is a version of the Galvez et al. 2019 (A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission) dataset not corrected for degradation over time. This dataset is required to reproduce Fig.4 of Dos Santos et al. 2021 (arXiv: 2012.14023) <br> This dataset contains extreme ultraviolet (EUV) images from the Atmospheric Image Assembly at the Solar Dynamics Observatory. The specs of the data are: Data from 2010 to 2020. Temporal resolution is 1 day. Spatial resolution is ~4.8 arcsec (512 x 512 image) Images not corrected for instrumental degradation over time, Images corrected for exposure time. 7 EUV channels. The total size of the data is ~22.1 TB compressed.
description: {"references": ["Galvez et al. 2019, A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission, DOI: 10.3847/1538-4365"]}
DOI: 10.5281/zenodo.4430800
title: SDOML Dataset Not Corrected for Degradation Over Time

description: This dataset is a version of the Galvez et al. 2019 (A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission) dataset not corrected for degradation over time. This dataset is required to reproduce Fig.4 of Dos Santos et al. 2021 (arXiv: 2012.14023) <br> This dataset contains extreme ultraviolet (EUV) images from the Atmospheric Image Assembly at the Solar Dynamics Observatory. The specs of the data are: Data from 2010 to 2020. Temporal resolution is 1 day. Spatial resolution is ~4.8 arcsec (512 x 512 image) Images not corrected for instrumental degradation over time, Images corrected for exposure time. 7 EUV channels. The total size of the data is ~22.1 TB compressed.
description: {"references": ["Galvez et al. 2019, A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission, DOI: 10.3847/1538-4365"]}
DOI: 10.5281/zenodo.4432395
title: Covid19 case data October 2020 - The Netherlands

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of October 2020.
DOI: 10.5281/zenodo.4432394
title: Covid19 case data October 2020 - The Netherlands

description: This data is the daily case data on covid-19 cases in the Netherlands, published by the RIVM (national public health agency). The data covers all case data of October 2020.
DOI: 10.6084/m9.figshare.13554386.v1
title: Date.xlsx

description: Quantitative evaluation of topical treatments for oral lichen planus: A systematic review and Bayesian Network Meta-analysis
DOI: 10.6084/m9.figshare.13554386
title: Date.xlsx

description: Quantitative evaluation of topical treatments for oral lichen planus: A systematic review and Bayesian Network Meta-analysis
DOI: 10.17037/data.00001849
title: Survey data on knowledge, attitudes and practices regarding Malaria and bed net usage on Bubaque Island, Guinea-Bissau

description: A dataset collected as part of a survey of knowledge, attitudes and practices regarding malaria and bed net usage in rural and semi-urban communities on Bubaque Island, Guinea-Bissau. The dataset contains information on participant's knowledge of malaria and information sources they use, bed net usage within their households, as well as demographic details on each household.
DOI: 10.25919/kkp1-k527
title: Parkes observations for project P456 semester 2020OCTS_04

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5519/qd.t44hk7l8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.17632/mv95s5hznd.1
title: Elsevier Author Aid Human Diseases Collection, part 1 (showcase)

description: -&gt; The Human Disease Author Aid Collection combines information about rare and common diseases in standardized, easy-to-navigate overviews and tables. -&gt; The Author Aid Collection includes clinical, molecular, and pharmacological data from several Elsevier and public sources. -&gt; Author Aid Templates can be a helpful guide for authors, researchers, clinicians, and students, especially those interested in rare diseases, because they highlight the latest updates, findings, and basic disease information from several sources on one page. Contents -&gt; The Human Disease Author Aid Collection is published in parts with 5-10 diseases grouped by therapeutic areas, except Part 1. Tables are planned to be updated with the latest metadata and citations quarterly. -&gt; Part 1 includes opening examples for common and rare human diseases: hemophilia, phenylketonuria, alpha-1 antitrypsin deficiency, migraine, and COVID-19. -&gt; Each disease template overview in Part 1 includes six sections: Terminology; Epidemiology/Demographics; Clinical presentation/Diagnosis; Etiology/Pathology (genetics, biomarkers, pathways); Treatment/Follow-Up; and Case studies. Each subset of data is linked to a list of publications with relevant citations.
DOI: 10.5517/ccdc.csd.cc23dfyx
title: CCDC 1948379: Experimental Crystal Structure Determination

description: Related Article: Jyothi Yadav, Amol Prakash Pawar, Yadav Kacharu Nagare, Eldhose Iype, Krishnan Rangan, Joji Ohshita, Dalip Kumar, Indresh Kumar|2020|J.Org.Chem.|85|14094|doi:10.1021/acs.joc.0c02141
DOI: 10.5517/ccdc.csd.cc24t628
title: CCDC 1990419: Experimental Crystal Structure Determination

description: Related Article: Mallesh Beesu, Goverdhan Mehta|2020|J.Org.Chem.|85|14229|doi:10.1021/acs.joc.0c02087
DOI: 10.5517/ccdc.csd.cc24t639
title: CCDC 1990420: Experimental Crystal Structure Determination

description: Related Article: Mallesh Beesu, Goverdhan Mehta|2020|J.Org.Chem.|85|14229|doi:10.1021/acs.joc.0c02087
DOI: 10.5517/ccdc.csd.cc24t66d
title: CCDC 1990423: Experimental Crystal Structure Determination

description: Related Article: Mallesh Beesu, Goverdhan Mehta|2020|J.Org.Chem.|85|14229|doi:10.1021/acs.joc.0c02087
DOI: 10.5517/ccdc.csd.cc24t68g
title: CCDC 1990425: Experimental Crystal Structure Determination

description: Related Article: Mallesh Beesu, Goverdhan Mehta|2020|J.Org.Chem.|85|14229|doi:10.1021/acs.joc.0c02087
DOI: 10.5517/ccdc.csd.cc25rggw
title: CCDC 2018548: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
DOI: 10.5517/ccdc.csd.cc25rgjy
title: CCDC 2018550: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
DOI: 10.5517/ccdc.csd.cc25rgm1
title: CCDC 2018553: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
DOI: 10.5517/ccdc.csd.cc25rgn2
title: CCDC 2018554: Experimental Crystal Structure Determination

description: Related Article: Ilja Rodstein, Daniel Sowa Prendes, Leon Wickert, Maurice Paaßen, Viktoria H. Gessner|2020|J.Org.Chem.|85|14674|doi:10.1021/acs.joc.0c01771
DOI: 10.5517/ccdc.csd.cc25t1cf
title: CCDC 2020064: Experimental Crystal Structure Determination

description: Related Article: Wei Xiong, Xiaohong Wang, Xianyan Shen, Cuifang Hu, Xin Wang, Fei Wang, Guolin Zhang, Chun Wang|2020|J.Org.Chem.|85|13160|doi:10.1021/acs.joc.0c01869
DOI: 10.5517/ccdc.csd.cc25v2ns
title: CCDC 2021065: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc25v2pt
title: CCDC 2021066: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc25v2qv
title: CCDC 2021067: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc25v2rw
title: CCDC 2021068: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc25v2sx
title: CCDC 2021069: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc25v2ty
title: CCDC 2021070: Experimental Crystal Structure Determination

description: Related Article: Maximilian H. H. Wurzenberger, Michael S. Gruhne, Marcus Lommel, Vanessa Braun, Norbert Szimhardt, Jörg Stierstorfer|2020|Inorg.Chem.|59|17875|doi:10.1021/acs.inorgchem.0c03027
DOI: 10.5517/ccdc.csd.cc261hwn
title: CCDC 2027241: Experimental Crystal Structure Determination

description: Related Article: Barry M. Trost, Chuanle Zhu|2020|Org.Lett.|22|9683|doi:10.1021/acs.orglett.0c03737
DOI: 10.5517/ccdc.csd.cc265s28
title: CCDC 2031339: Experimental Crystal Structure Determination

description: Related Article: Fulei Ma, Xiaoyu Xie, Yuanheng Li, Ziqiang Yan, Mingming Ma|2020|J.Org.Chem.|86|762|doi:10.1021/acs.joc.0c02342
DOI: 10.5517/ccdc.csd.cc2683tf
title: CCDC 2033594: Experimental Crystal Structure Determination

description: Related Article: Juan Tang, Xue Chen, Chao-qun Zhao, Wen-jing Li, Shun Li, Xue-li Zheng, Mao-lin Yuan, Hai-yan Fu, Rui-xiang Li, Hua Chen|2020|J.Org.Chem.|86|716|doi:10.1021/acs.joc.0c02321
DOI: 10.5517/ccdc.csd.cc2683vg
title: CCDC 2033595: Experimental Crystal Structure Determination

description: Related Article: Juan Tang, Xue Chen, Chao-qun Zhao, Wen-jing Li, Shun Li, Xue-li Zheng, Mao-lin Yuan, Hai-yan Fu, Rui-xiang Li, Hua Chen|2020|J.Org.Chem.|86|716|doi:10.1021/acs.joc.0c02321
DOI: 10.5517/ccdc.csd.cc26frp3
title: CCDC 2039015: Experimental Crystal Structure Determination

description: Related Article: Pengfei Hu, Byron K. Peters, Christian A. Malapit, Julien C. Vantourout, Pan Wang, Jinjun Li, Lucas Mele, Pierre-Georges Echeverria, Shelley D. Minteer, Phil S. Baran|2020|J.Am.Chem.Soc.|142|20979|doi:10.1021/jacs.0c11214
DOI: 10.5517/ccdc.csd.cc26hs3m
title: CCDC 2040950: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Peng, Junjun Liu, Ying Gao, Fang Cheng, Jin-Ling Chang, Juan Chen, Fang-Fang Duan, Han-Li Ruan|2020|Org.Lett.|22|9665|doi:10.1021/acs.orglett.0c03623
DOI: 10.5517/ccdc.csd.cc26hs4n
title: CCDC 2040951: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Peng, Junjun Liu, Ying Gao, Fang Cheng, Jin-Ling Chang, Juan Chen, Fang-Fang Duan, Han-Li Ruan|2020|Org.Lett.|22|9665|doi:10.1021/acs.orglett.0c03623
DOI: 10.5281/zenodo.4432434
title: Importance of respiratory syncytial virus as a predictor of hospital length of stay in Bronchiolitis

description: Database paper
DOI: 10.5281/zenodo.4432433
title: Importance of respiratory syncytial virus as a predictor of hospital length of stay in Bronchiolitis

description: Database paper
DOI: 10.6084/m9.figshare.13048850
title: Laboratory-based spectral data acquisition of roof materials

description: Roof characteristics such as material type and their properties information are essential to integrating urban agriculture (UA), rainwater harvesting systems (RWHS), and energy systems on roofs. Roof materials can be identified from their spectral signatures. However, this identification requires a priori knowledge of the materials’ spectral characteristics. The main perspective of this work is the future use of spectral data for roof classification. A common practice in mapping materials is the use of spectral libraries. In this regard, this work describes a novel framework for laboratory-based spectral data acquisition. The reflectance data of common, recently introduced (plastics and metals), and representative roof materials from the Mediterranean region were obtained. Data acquisition was conducted in a laboratory under controlled conditions using a high-spatial-resolution (HSR) sensor, which is usually used for airborne surveys. Large variations in the spectral reflectance data were observed due to the composition of the roof material. Flat spectral signatures were found for fibre cement, concrete, gravels and some metals, especially from the near-infrared (NIR) spectral region. Colour and surface finish greatly influence the visible (VIS) spectral range. It was confirmed that the view angle did not modify the spectral shapes. A collection of 39 spectral data of roof materials (ceramics, concrete, fibre cement, metals, plastics, paints, stone, and wood) were compiled into a spectral library that is available online.
DOI: 10.6084/m9.figshare.13048850.v1
title: Laboratory-based spectral data acquisition of roof materials

description: Roof characteristics such as material type and their properties information are essential to integrating urban agriculture (UA), rainwater harvesting systems (RWHS), and energy systems on roofs. Roof materials can be identified from their spectral signatures. However, this identification requires a priori knowledge of the materials’ spectral characteristics. The main perspective of this work is the future use of spectral data for roof classification. A common practice in mapping materials is the use of spectral libraries. In this regard, this work describes a novel framework for laboratory-based spectral data acquisition. The reflectance data of common, recently introduced (plastics and metals), and representative roof materials from the Mediterranean region were obtained. Data acquisition was conducted in a laboratory under controlled conditions using a high-spatial-resolution (HSR) sensor, which is usually used for airborne surveys. Large variations in the spectral reflectance data were observed due to the composition of the roof material. Flat spectral signatures were found for fibre cement, concrete, gravels and some metals, especially from the near-infrared (NIR) spectral region. Colour and surface finish greatly influence the visible (VIS) spectral range. It was confirmed that the view angle did not modify the spectral shapes. A collection of 39 spectral data of roof materials (ceramics, concrete, fibre cement, metals, plastics, paints, stone, and wood) were compiled into a spectral library that is available online.