cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25rtsk
title: CCDC 2018899: Experimental Crystal Structure Determination

description: Related Article: Alexander Kroll, Henning Steinert, Mike Jörges, Tim Steinke, Bert Mallick, Viktoria H. Gessner|2020|Organometallics|39|4312|doi:10.1021/acs.organomet.0c00412
DOI: 10.5517/ccdc.csd.cc260qjh
title: CCDC 2026486: Experimental Crystal Structure Determination

description: Related Article: Gang Li|2020|CSD Communication|||
description: Related Article: Gang Li, Jiangzhen An, Chunqi Jia, Bingxu Yan, Lei Zhong, Junjie Wang, Suling Yang|2020|Org.Lett.|22|9450|doi:10.1021/acs.orglett.0c03377
DOI: 10.5517/ccdc.csd.cc260qzy
title: CCDC 2026500: Experimental Crystal Structure Determination

description: Related Article: Gang Li|2020|CSD Communication|||
description: Related Article: Gang Li, Jiangzhen An, Chunqi Jia, Bingxu Yan, Lei Zhong, Junjie Wang, Suling Yang|2020|Org.Lett.|22|9450|doi:10.1021/acs.orglett.0c03377
DOI: 10.21227/kcb8-pz96
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/qskb-zh77
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.34740/kaggle/dsv/1780826
title: US counties COVID 19 dataset
DOI: 10.34740/kaggle/dsv/1780917
title: Tehran Stock Exchange
DOI: 10.34740/kaggle/dsv/1780954
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21227/nf31-6k97
title: Simple Squamous Epethelium: Towards Reqularity Estimation using Lens-Less Microscopy?

description: See our next articles.
DOI: 10.21227/wkm8-nf72
title: Simple Squamous Epethelium: Towards Reqularity Estimation using Lens-Less Microscopy?

description: See our next articles.
DOI: 10.5281/zenodo.4393577
title: Supplementary Data - MORTALITY RATE DUE TO PULMONERY FIBROSIS ASSOCIATED WITH SARS- COV-2 INFECTION: SCOPE OF BEST FIT REGRESSION

description: The dataset contains number of infected pateints - Death Frquencies - Mortality rate globally due to pulmonary fibrosis associated with SARS-COV-2 infection with effect from 21st Jan to 28 th April ,2020 . Data analysis report by best fit regression software Curve Expert V.1.4 supported with Spreadsheet ( Excel , Office 2007 ) are included for computation of statistical significance .
description: JAYDIP DATTA . Growth of D614G Virus : Morgan – Morgan – Finney ( MMF ) Regression , 15 October 2020, PREPRINT (Version 1) available at Research Square [+https://doi.org/10.21203/rs.3.rs-92776/v1+]
description: {"references": ["10.3390/jcm9061917"]}
DOI: 10.5281/zenodo.4393575
title: Supplementary Data - MORTALITY RATE DUE TO PULMONERY FIBROSIS ASSOCIATED WITH SARS- COV-2 INFECTION: SCOPE OF BEST FIT REGRESSION

description: The dataset contains number of infected pateints - Death Frquencies - Mortality rate globally due to pulmonary fibrosis associated with SARS-COV-2 infection with effect from 21st Jan to 28 th April ,2020 . Data analysis report by best fit regression software Curve Expert V.1.4 supported with Spreadsheet ( Excel , Office 2007 ) are included for computation of statistical significance .
description: JAYDIP DATTA . Growth of D614G Virus : Morgan – Morgan – Finney ( MMF ) Regression , 15 October 2020, PREPRINT (Version 1) available at Research Square [+https://doi.org/10.21203/rs.3.rs-92776/v1+]
description: {"references": ["10.3390/jcm9061917"]}
DOI: 10.21227/yhs2-n922
title: Volvox sp. (Volvox L., 1758) Pfeffer's osmometry: FFTW-based LUCAS-like real time approach

description: See our next articles.
DOI: 10.21227/c0d8-tc51
title: Volvox sp. (Volvox L., 1758) Pfeffer's osmometry: FFTW-based LUCAS-like real time approach

description: See our next articles.
DOI: 10.21227/9ek6-w273
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/bnf5-v589
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/48gr-6y71
title: Oral mucosa: digital photometric lens-less spectrozonal transmittance testing of thin slices or ultrathin histological section.

description: See our next articles.
DOI: 10.21227/mngx-ye68
title: Oral mucosa: digital photometric lens-less spectrozonal transmittance testing of thin slices or ultrathin histological section.

description: See our next articles.
DOI: 10.21227/mrb5-w277
title: Epidermis of allium: FFTW-based regulometry case

description: See our next articles.
DOI: 10.21227/kz6p-ne79
title: Epidermis of allium: FFTW-based regulometry case

description: See our next articles.
DOI: 10.21227/gsy4-7c08
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/fta4-5587
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/xgp7-bq77
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/p86m-8e46
title: Broad bean leaf epidermis: spectrozonal and multi-angle lens-less imaging and image processing

description: See our next articles.
DOI: 10.21227/edqx-ra75
title: Broad bean leaf epidermis: spectrozonal and multi-angle lens-less imaging and image processing

description: See our next articles.
DOI: 10.21227/az6r-1e69
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/0mh8-dc16
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/9v74-7q13
title: Holoscopic 3D Micro-Gesture Database

description: HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have three type of microgestures (classes). Each subset has been devided into three partitions: training set, validation set and testing set where there is not overlap between them in term of the subjects. The database has been used for Holoscopic Micro-Gesture Recognition Challenge 2018 (HoMGR 2018) that was held at IEEE Face & Gesture 2018 (FG2018 ) - Xi'an, China, 15-19th May 2018 (https://fg2018.cse.sc.edu/Challenges.html). The database is now public available for wider research community in the research areas of holoscopic 3D image processing, machine learning for gesture recognition and its application in AR and VR.
DOI: 10.21227/f7ve-q730
title: Neural Ordinary Differential Equation Control of Dynamics on Graphs

description: We study the ability of neural networks to steer or control trajectories of dynamical systems on graphs, which we represent with neural ordinary differential equations (neural ODEs). To do so, we introduce a neural-ODE control (NODEC) framework and find that it can learn control signals that drive graph dynamical systems into desired target states. While we use loss functions that do not constrain the control energy, our results show that NODEC produces control signals that are highly correlated with optimal (or minimum energy) control signals. Finally, we empirically showcase the high performance and versatility of NODEC for various (non-)linear dynamics and loss functions on different graphs.
DOI: 10.6084/m9.figshare.13489209
title: Female common cuckoo calls dampen the mobbing intensity of great reed warbler hosts (Marton et al. 2021, Ethology)

description: To test whether the female cuckoo's bubbling call has a negative effect on host mobbing intensity, we performed experimental trials at great reed warbler nests (<em>n</em> = 61), during the laying and early incubation stages, by placing 3D‐printed common cuckoo or dove models at the nest.<br><br>We recorded the mobbing behaviour of great reed warblers for 2 min upon discovering the cuckoo or dove decoy, after which we played back the female cuckoo's bubbling calls for the cuckoo decoy, or the call of the dove for the dove decoy. We subsequently counted the number of adult great reed warblers present during the trial and the numbers of different mobbing behaviours separately: “churr” alarm calls, bill snaps, pecks and physical contact attacks against the decoys per the 2‐min trials.
DOI: 10.6084/m9.figshare.13489209.v1
title: Female common cuckoo calls dampen the mobbing intensity of great reed warbler hosts (Marton et al. 2021, Ethology)

description: To test whether the female cuckoo's bubbling call has a negative effect on host mobbing intensity, we performed experimental trials at great reed warbler nests (<em>n</em> = 61), during the laying and early incubation stages, by placing 3D‐printed common cuckoo or dove models at the nest.<br><br>We recorded the mobbing behaviour of great reed warblers for 2 min upon discovering the cuckoo or dove decoy, after which we played back the female cuckoo's bubbling calls for the cuckoo decoy, or the call of the dove for the dove decoy. We subsequently counted the number of adult great reed warblers present during the trial and the numbers of different mobbing behaviours separately: “churr” alarm calls, bill snaps, pecks and physical contact attacks against the decoys per the 2‐min trials.
DOI: 10.5281/zenodo.4393653
title: Improving the understanding of phosphate fertilization in soil P content, acid phosphatase and production of sugarcane

description: The sugarcane crop is grown in large areas and has a productive chain of billions of dollars. In its chain, they are involved from sugar production to second generation hydrated alcohol. Phosphate nutrition is of great importance for culture, therefore requiring further studies. We sought to evaluate sources and doses of P in the absence/presence of filter cake. The first three models refer to P<sub>2</sub>O<sub>5</sub> sources and doses in the absence of the filter cake and the last three models refer to P<sub>2</sub>O<sub>5</sub> sources and doses in the presence of the filter cake (7.5 Mg ha<sup>-1</sup>, in dry weight). As a statistical basis, we used average, median, maximum, minimum and standard deviation data for the variables evaluated.
description: The Authors are grateful for the Postgraduate in Agronomy/Irrigation and Drainage (of School of Agriculture, São Paulo State University-UNESP) for the scientific contribution made available. This work was supported by the National Council for Scientific and Technological Development (CNPq) for the postdoctoral fellowship granted to the first author (grant number 159000/2018-1) and for the research productivity grant granted to the last author (grant number 313570/2017-5). The authors thank the Catanduva Mill, Itajobi, SP (Virgolino de Oliveira's Group) for their constant support.
DOI: 10.5281/zenodo.4051799
title: Improving the understanding of phosphate fertilization in soil P content, acid phosphatase and production of sugarcane

description: The sugarcane crop is grown in large areas and has a productive chain of billions of dollars. In its chain, they are involved from sugar production to second generation hydrated alcohol. Phosphate nutrition is of great importance for culture, therefore requiring further studies. We sought to evaluate sources and doses of P in the absence/presence of filter cake. The first three models refer to P<sub>2</sub>O<sub>5</sub> sources and doses in the absence of the filter cake and the last three models refer to P<sub>2</sub>O<sub>5</sub> sources and doses in the presence of the filter cake (7.5 Mg ha<sup>-1</sup>, in dry weight). As a statistical basis, we used average, median, maximum, minimum and standard deviation data for the variables evaluated.
description: The Authors are grateful for the Postgraduate in Agronomy/Irrigation and Drainage (of School of Agriculture, São Paulo State University-UNESP) for the scientific contribution made available. This work was supported by the National Council for Scientific and Technological Development (CNPq) for the postdoctoral fellowship granted to the first author (grant number 159000/2018-1) and for the research productivity grant granted to the last author (grant number 313570/2017-5). The authors thank the Catanduva Mill, Itajobi, SP (Virgolino de Oliveira's Group) for their constant support.
DOI: 10.5519/qd.v4a5ulcu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.6084/m9.figshare.13489215
title: PerPlex EEG.zip

description: ERP experiment with eight healthy participants during color textural perception of natural and fractal images followed byreasoning on their complexity degree, against single color reference images. Recorded data: 5 neural channels by Biopac wireless EEG system.<br>Please, cite related paper:Nicolae, I.E.; Ivanovici, M. Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG. Appl. Sci. 2021, 1, 0. https://dx.doi.org/10.3390/app1010000<br><br>
DOI: 10.5519/qd.4bdy321v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.6084/m9.figshare.13489260
title: Tesis R datos.R

description: This database present the script for the results of the coloration and toxicity in tadpoles.
DOI: 10.6084/m9.figshare.13489260.v1
title: Tesis R datos.R

description: This database present the script for the results of the coloration and toxicity in tadpoles.