cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14211839.v1
title: Coding sequences of MAKER-annotated protein-coding genes for the Spodoptera exigua genome

description: Coding sequences of MAKER-annotated protein-coding genes for the Spodoptera exigua genome
DOI: 10.5517/ccdc.csd.cc26lxvl
title: CCDC 2043980: Experimental Crystal Structure Determination

description: Related Article: Gabriele Hierlmeier, Robert Wolf|2021|Angew.Chem.,Int.Ed.|60|6435|doi:10.1002/anie.202015680
DOI: 10.5517/ccdc.csd.cc26m2xv
title: CCDC 2044137: Experimental Crystal Structure Determination

description: Related Article: Kosuke Ishijima, Susumu Tanaka, Hiroaki Imoto, Kensuke Naka|2021|Chem.-Eur.J.|27|4676|doi:10.1002/chem.202005001
DOI: 10.6084/m9.figshare.14211308
title: eggNOG annotation of the Spodoptera exigua genome

description: eggNOG annotation of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211821
title: Annotation file of MAKER-annotated protein-coding genes for the Spodoptera exigua genome

description: Annotation file of MAKER-annotated protein-coding genes for the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211302
title: InterProscan results of the Spodoptera exigua genome

description: InterProscan results of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211308.v1
title: eggNOG annotation of the Spodoptera exigua genome

description: eggNOG annotation of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211821.v1
title: Annotation file of MAKER-annotated protein-coding genes for the Spodoptera exigua genome

description: Annotation file of MAKER-annotated protein-coding genes for the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211302.v1
title: InterProscan results of the Spodoptera exigua genome

description: InterProscan results of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211293
title: genome-guided transcriptome assembly using Stringtie

description: genome-guided transcriptome assembly using Stringtie
DOI: 10.6084/m9.figshare.14211293.v1
title: genome-guided transcriptome assembly using Stringtie

description: genome-guided transcriptome assembly using Stringtie
DOI: 10.6084/m9.figshare.14211284
title: Annotations of non-coding RNAs of the Spodoptera exigua genome

description: Annotations of non-coding RNAs of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211284.v1
title: Annotations of non-coding RNAs of the Spodoptera exigua genome

description: Annotations of non-coding RNAs of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211269
title: Repeat annotation of the Spodoptera exigua genome

description: Repeat annotation of the Spodoptera exigua genome
DOI: 10.6084/m9.figshare.14211269.v1
title: Repeat annotation of the Spodoptera exigua genome

description: Repeat annotation of the Spodoptera exigua genome
DOI: 10.5281/zenodo.4602645
title: Replication Package for How Developers and Tools Categorize Sentiment inStack Overflow Questions - A Pilot Study

description: The dataset and questions of the SEMotion 2021 paper: How Developers and Tools Categorize Sentiment in Stack Overflow Questions - A Pilot Study
DOI: 10.5281/zenodo.4602644
title: Replication Package for How Developers and Tools Categorize Sentiment inStack Overflow Questions - A Pilot Study

description: The dataset and questions of the SEMotion 2021 paper: How Developers and Tools Categorize Sentiment in Stack Overflow Questions - A Pilot Study
DOI: 10.5281/zenodo.4602643
title: Replication Package for How Developers and Tools Categorize Sentiment in Stack Overflow Questions

description: Dataset containing the stimuli, questions, and participant responses
DOI: 10.5281/zenodo.4602642
title: Replication Package for How Developers and Tools Categorize Sentiment in Stack Overflow Questions

description: Dataset containing the stimuli, questions, and participant responses
DOI: 10.13139/ornlnccs/1770306
title: Building Parameters in Las Vegas

description: Csv files for 132 NUDAPT-defined building parameters for census tracts in Las Vegas, Nevada along with a reference shapefile
DOI: 10.6084/m9.figshare.14211236
title: Repeat-masked Spodoptera exigua genome

description: <pre>Repeat-masked Spodoptera exigua genome</pre>
DOI: 10.6084/m9.figshare.14211236.v1
title: Repeat-masked Spodoptera exigua genome

description: <pre>Repeat-masked Spodoptera exigua genome</pre>
DOI: 10.6084/m9.figshare.14211860
title: arXiv dataset

description: Source: https://www.kaggle.com/Cornell-University/arxiv
DOI: 10.6084/m9.figshare.14211860.v1
title: arXiv dataset

description: Source: https://www.kaggle.com/Cornell-University/arxiv
DOI: 10.6084/m9.figshare.14211857.v1
title: CORD19

description: Source: https://github.com/usnistgov/cord19-cdcs-nist/releases/tag/v0.2.3
DOI: 10.6084/m9.figshare.14211857
title: CORD19

description: Source: https://github.com/usnistgov/cord19-cdcs-nist/releases/tag/v0.2.3
DOI: 10.5281/zenodo.4601418
title: Conversion of Natural Forests to Farmlands and Its Associated Woody Species Diversity and Carbon Stocks in a Span of 33 Years (1984 To 2016): In the Case of Southwestern Ethiopia

description: In this paper, we report on / show that the changes of woody species diversity and carbon stock in association with the conversion of Natural Forest to Forest Farm Interface and Farmlands. This is significant because it is a reference for effective management practices and quantification of the available forest resources.
DOI: 10.5281/zenodo.4601417
title: Conversion of Natural Forests to Farmlands and Its Associated Woody Species Diversity and Carbon Stocks in a Span of 33 Years (1984 To 2016): In the Case of Southwestern Ethiopia

description: In this paper, we report on / show that the changes of woody species diversity and carbon stock in association with the conversion of Natural Forest to Forest Farm Interface and Farmlands. This is significant because it is a reference for effective management practices and quantification of the available forest resources.
DOI: 10.5281/zenodo.4590099
title: Integrative structure of the Spc110-γTuSC complex

description: Input data, modeling scripts, and integrative models of the γTuSC-Spc110 complex with Spc110 in monomer, dimer, and tetramer forms. For more information about how to reproduce this modeling, see https://salilab.org/gtuscSpc110 or the README file.
description: Funded by NIH P01 GM105537, GM083960, GM109824.
DOI: 10.21227/7s8r-8413
title: Non Line-of-Sight Perception Vehicular Camera Communication

description: This dataset was used in our work "See-through a Vehicle: Augmenting Road Safety Information using Visual Perception and Camera Communication in Vehicles" published in the IEEE Transactions on Vehicular Technology (TVT). In this work, we present the design, implementation and evaluation of non-line-of-sight (NLOS) perception to achieve a virtual {\em see-through} functionality for road vehicles. In this system, a safety event, such as pedestrian crossing or traffic list status or vehicle merge, that are occluded to a driver due to another vehicle on the driving lane, are perceived and communicated by the occluding vehicle. Each vehicle is equipped with a camera, placed on the dashboard, that perceives the scene in a drivers view. This scene is analyzed and mapped into specific warning codes that are specific to a safety event, and communicated as short packets using visible light communication. The camera in the following vehicle captures this information and generates a recommendation for safety action to the driver by comparing the warning from the packet and from its own scene perception.
DOI: 10.5281/zenodo.4602758
title: Formation Mechanisms of Hydraulic Fracture Network Based on Fracture Interaction

description: The interaction between hydraulic fractures and natural fractures have significant influence on the geometry of hydraulic fracture network in fractured reservoirs. However, in previous mathematical model, the coupling relationship of non-intersecting fractures in propagation process was often been ignored, which resulted the distortion of simulation results of fracture network. Based on boundary element method and rock failure criterion, we established mathematical model to study the fracture interaction mechanisms and fracture network morphology under induced stress. Realized the visualization of the global fractures coupling effect in simulation. Compared with epidemic perception, we put forward different understandings about the coalescence conditions and the intersection model under the interaction of fractures. In addition, proved the existence of stress shielding and transferring effect. The morphology and associated factors of complex fracture network were analyzed based on the mechanism of multi-fracture interference, which may be helpful to improve fracturing simulation model and increase fracturing effect.
DOI: 10.5281/zenodo.4602757
title: Formation Mechanisms of Hydraulic Fracture Network Based on Fracture Interaction

description: The interaction between hydraulic fractures and natural fractures have significant influence on the geometry of hydraulic fracture network in fractured reservoirs. However, in previous mathematical model, the coupling relationship of non-intersecting fractures in propagation process was often been ignored, which resulted the distortion of simulation results of fracture network. Based on boundary element method and rock failure criterion, we established mathematical model to study the fracture interaction mechanisms and fracture network morphology under induced stress. Realized the visualization of the global fractures coupling effect in simulation. Compared with epidemic perception, we put forward different understandings about the coalescence conditions and the intersection model under the interaction of fractures. In addition, proved the existence of stress shielding and transferring effect. The morphology and associated factors of complex fracture network were analyzed based on the mechanism of multi-fracture interference, which may be helpful to improve fracturing simulation model and increase fracturing effect.
DOI: 10.6084/m9.figshare.13670527.v1
title: Georeferenced global Dams And Reservoirs (GeoDAR)

description: This dataset archives successive versions of the GeoDAR (Georeferenced global Dams And Reservoirs) dataset. <br>The current versions include GeoDAR v1.0 and v1.1. GeoDAR v1.0 holds 21,051 dam points georeferenced based on the ICOLD World Register of Dams (WRD; https://www.icold-cigb.org). GeoDAR v1.1 consists of (1) 23,680 dam points following a careful harmonization between GeoDAR v1.0 and the Global Reservoir and Dam Database (GRanD) v1.3, and (2) 20,214 reservoir polygons retrieved from high-resolution water masks.<br>More details are provided in the readme file enclosed in the dataset folder.<br>Citation: Wang, J., Walter, B.A., Yao, F., Song, C., Ding, M., Maroof, M.A.S., Zhu, J., Fan, C., Xin, A., McAlister, J.M., Sikder, M.S., Sheng, Y., Allen, G.H., Crétaux, J.-F., and Wada, Y., 2021. GeoDAR: Georeferenced global dam and reservoir database for bridging attributes and geolocations. Earth System Science Data, in review.<br>Note: The data set is currently under review. Changes and improvements may be expected before the final acceptance.<br>
DOI: 10.17632/kcpnnrn67p.1
title: Data for: Echo-state networks for Soft Sensor design in an SRU process

description: Normalized Input and output variable from a nonlinear dynamical MIMO SRU process of a refinery.
DOI: 10.6084/m9.figshare.14211983
title: Dataset and R codes for meta-community stability in Inner Mongolian grassland

description: Dataset and R codes for meta-community stability in Inner Mongolian grassland
DOI: 10.6084/m9.figshare.14211989
title: Lifestyle changes during the early COVID-19 confinement do not have major impacts on household carbon footprints in Japan

description: This dataset includes two tables which belongs to our article publish at One Earth. The first table (Table S1) shows the mapping process from input-output table to consumption inventory. The second one (Tables S2) shows the emission data used in this research.
DOI: 10.6084/m9.figshare.13668596
title: COVID-CTset part1

description: Full description can be found in : https://github.com/mr7495/COVID-CTset This part contains CT images of 95 patients and 108 normal persons. If you use our data, please cite our paper: The pre-prints is available at: https://doi.org/10.1101/2020.06.08.20121541 https://www.researchgate.net/publication/341804692_A_Fully_Automated_Deep_Learning-based_Network_For_Detecting_COVID-from_a_New_And_Large_Lung_CT_Scan_Dataset https://www.preprints.org/manuscript/202006.0031/v3
DOI: 10.6084/m9.figshare.13669969
title: COVID19-CTset part2

description: Full description can be found in : https://github.com/mr7495/COVID-CTset This part contains CT images of 252 normal persons. If you use our data, please cite our paper: The pre-prints is available at: https://doi.org/10.1101/2020.06.08.20121541 https://www.researchgate.net/publication/341804692_A_Fully_Automated_Deep_Learning-based_Network_For_Detecting_COVID-from_a_New_And_Large_Lung_CT_Scan_Dataset https://www.preprints.org/manuscript/202006.0031/v3
DOI: 10.25442/hku.14123972
title: Supporting data for “Formation of Our Solar System's Giant Planets via Pebble Accretion"

description: The data set include simulations output and plots for the thesis titled “Formation of Our Solar System's Giant Planets via Pebble Accretion". It contains initial conditions to reproduce the simulations with SyMBA modified by Matsumura et al. (2017) as well as the binary data output of the simulations. A tool in Fortran is provided to extract orbital elements from the binary output. Plots of the orbital elements are also included in the data set.
DOI: 10.25442/hku.14123972.v1
title: Supporting data for “Formation of Our Solar System's Giant Planets via Pebble Accretion"

description: The data set include simulations output and plots for the thesis titled “Formation of Our Solar System's Giant Planets via Pebble Accretion". It contains initial conditions to reproduce the simulations with SyMBA modified by Matsumura et al. (2017) as well as the binary data output of the simulations. A tool in Fortran is provided to extract orbital elements from the binary output. Plots of the orbital elements are also included in the data set.
DOI: 10.6084/m9.figshare.14211932
title: oral microbiota original data

description: Sequencing data of oral microbiota.
DOI: 10.6084/m9.figshare.14211932.v1
title: oral microbiota original data

description: Sequencing data of oral microbiota.
DOI: 10.6084/m9.figshare.14212043
title: Survey on Status and Experience of Students for “Learn from Home” during COVID-19 Lockdown in April 2020

description: The purpose of this survey is to check thestatus and impact of learning form home conceptduring corona virus lockdown on students of Schoolof Nanoscience & Technology, Shivaji University,Kolhapur. There are about 250 students from allclasses from B.Sc.-I to M.Sc.-II taken part in thisonline survey conducted by Department. Studentsare having mixed reaction about learning from homeconcept during this lockdown period as well as someof them don’t have proper electricity and high speedinternet as the majority of the students live in villageside. Most of them still inclined towards learningand interacting with faculty teachers to understandthe subject through online platform. This newconcept is bit different than regular classroomteaching and students still trying to adapt it withtechnical struggles and understanding.
DOI: 10.6084/m9.figshare.14212043.v1
title: Survey on Status and Experience of Students for “Learn from Home” during COVID-19 Lockdown in April 2020

description: The purpose of this survey is to check thestatus and impact of learning form home conceptduring corona virus lockdown on students of Schoolof Nanoscience & Technology, Shivaji University,Kolhapur. There are about 250 students from allclasses from B.Sc.-I to M.Sc.-II taken part in thisonline survey conducted by Department. Studentsare having mixed reaction about learning from homeconcept during this lockdown period as well as someof them don’t have proper electricity and high speedinternet as the majority of the students live in villageside. Most of them still inclined towards learningand interacting with faculty teachers to understandthe subject through online platform. This newconcept is bit different than regular classroomteaching and students still trying to adapt it withtechnical struggles and understanding.
DOI: 10.5517/ccdc.csd.cc23v7mv
title: CCDC 1961637: Experimental Crystal Structure Determination

description: Related Article: zhuqing Liu|2019|CSD Communication|||
description: Related Article: Zhuqing Liu, Jiang Lou, Jiaqi Xiao|2021|Org.Lett.|23|1606|doi:10.1021/acs.orglett.1c00026
DOI: 10.5517/ccdc.csd.cc24y2bj
title: CCDC 1994147: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc24y2ck
title: CCDC 1994148: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc24y2dl
title: CCDC 1994149: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc24y2fm
title: CCDC 1994150: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc24y2gn
title: CCDC 1994151: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc24y2hp
title: CCDC 1994152: Experimental Crystal Structure Determination

description: Related Article: Markus Bursch, Lukas Kunze, Amol M. Vibhute, Andreas Hansen, Kana M. Sureshan, Peter G. Jones, Stefan Grimme, Daniel B. Werz|2021|Chem.-Eur.J.|27|4627|doi:10.1002/chem.202004525
DOI: 10.5517/ccdc.csd.cc26v4fn
title: CCDC 2050911: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc26v4gp
title: CCDC 2050912: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc26v4hq
title: CCDC 2050913: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc26v4jr
title: CCDC 2050914: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc26v4ks
title: CCDC 2050915: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc26v4lt
title: CCDC 2050916: Experimental Crystal Structure Determination

description: Related Article: Verena Tegethoff, Tobias Lübbering, Christian Schulte to Brinke, Birgitta Schirmer, Johannes Neugebauer, F. Ekkehardt Hahn|2021|Organometallics|40|606|doi:10.1021/acs.organomet.0c00812
DOI: 10.5517/ccdc.csd.cc24sbbm
title: CCDC 1989590: Experimental Crystal Structure Determination

description: Related Article: Weiwei Chai, Qingyang Zhou, Wenna Ai, Yin Zheng, Tianzhu Qin, Xiufang Xu, Weiwei Zi|2021|J.Am.Chem.Soc.|143|3595|doi:10.1021/jacs.0c13412
DOI: 10.34740/kaggle/dsv/2018695
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.4602859
title: Dataset related to article "Low Incidence of SARS-CoV-2 in Patients with Solid Tumours on Active Treatment: An Observational Study at a Tertiary Cancer Centre in Lombardy, Italy"

description: This record contains raw data related to article “Low Incidence of SARS-CoV-2 in Patients with Solid Tumours on Active Treatment: An Observational Study at a Tertiary Cancer Centre in Lombardy, Italy" <strong>Background:</strong> The incidence and prognosis of SARS-CoV-2-positive cancer patients on active oncologic treatment remain unknown. Retrospective data from China reported higher incidence and poorer outcomes with respect to the general population. We aimed to describe the real-word incidence of SARS-CoV-2 in cancer patients and the impact of oncologic therapies on the infection. <strong>Materials & Methods:</strong> In this study, we analysed all consecutive cancer patients with solid tumours undergoing active intravenous treatment (chemotherapy, immunotherapy, targeted therapy, alone or in combination) between 21 February and 30 April 2020, in a high-volume cancer centre in Lombardy, Italy. We focused on SARS-CoV-2-positive patients, reporting on the clinical characteristics of the cancer and the infection. <strong>Results:</strong> We registered 17 SARS-CoV-2-positive patients among 1267 cancer patients on active treatment, resulting in an incidence of 1.3%. The median age was 69.5 years (range 43-79). Fourteen patients (82%) required hospitalisation for COVID-19 with a median in-hospital stay of 11.5 days (range 3-58). Fourteen of the seventeen (82%) were treated for locally advanced or metastatic disease. We could not demonstrate any correlation between SARS-CoV-2 infection and tumour or treatment type. The COVID-19-related fatality rate was 29% (5/17), which was higher than that of the general population cared for in our centre (20%). <strong>Conclusions:</strong> Active oncologic treatments do not represent a risk factor for SARS-CoV-2 infection in cancer patients. However, the prognosis of infected cancer patients appears to be worse compared with that of the non-oncologic population. Given the low number of SARS-CoV-2-positive cases and the uncertainties in risk factors that may have an impact on the prognosis, we advocate for the continuum of cancer care even during the current pandemic.