cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/b28633ddc0f44d77a6aa81ad7bd66285
title: INCOMPASS: India Meteorology Department Doppler radar convective cell statistics v2

description: This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign. The seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression. The updated radar-derived cell statistics here have been corrected from the previous version by removing all convective cells that touch the outer edge of the radar domain. The data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales.
DOI: 10.5281/zenodo.7043766
title: Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest

description: Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest<br> Valérie Beaud1, Sonia Crottaz-Herbette1, Vincent Dunet2, Jean-François Knebel1, Pierre-Alexandre Bart3, Stephanie Clarke1<br> 1 Service of Neuropsychology and Neurorehabilitation, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 2 Service of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 3 Service of Internal Medicine, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> ABSTRACT<br> Background: Cognitive deficits were often reported during the acute and post-acute stages of severe COVID-19 and were often, but not always, associated with signs of brain damage. Population-wide surveys highlighted the need for investigations into the nature, the severity and the evolution of cognitive, behavioural and psychiatric deficits.<br> Case presentation: We report the outcome at 12 months after severe COVID-19 involving intensive care unit stay and mechanical ventilation in six patients. None of the patients had history of prior brain dysfunction and none sustained stroke and/or cardiac arrest during COVID-19. A pervading mental and physical fatigue was consistently reported as well as numerous multidomain complaints, which affect to some extend everyday life, and for some of the patients a mental fatiguability, a certain degree of neurobehavioural (apathy) and/or psychiatric (anxiety) dysfunction. Standardized neuropsychological tests revealed for 4 of the 6 patients the occurrence relatively isolated of cognitive dysfunction or performance at the lower limit of the norm in some, but not all attentional, executive and/or working memory tests. Somatic scales highlighted the presence of dyspnoea, muscle weakness, olfactory disorder and/or minor sleep problems in some but not all patients.<br> Conclusion: Fatigue, fatiguability, multidomain complaints, which affect to some extend everyday life, cognitive dysfunction or performance at the lower limit of the norm and a certain degree of neurobehavioural and/or psychiatric and/or somatic dysfunction can occur in the aftermath of severe COVID-19 even in the absence of neurological antecedents or of COVID-19-related stroke and/or cardiac arrest.
DOI: 10.5281/zenodo.7043765
title: Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest

description: Outcome of severe COVID-19: spotlight on fatigue, fatiguability, multidomain complaints and pattern of cognitive deficits in a case series without prior brain dysfunction and without COVID-19-related stroke and/or cardiac arrest<br> Valérie Beaud1, Sonia Crottaz-Herbette1, Vincent Dunet2, Jean-François Knebel1, Pierre-Alexandre Bart3, Stephanie Clarke1<br> 1 Service of Neuropsychology and Neurorehabilitation, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 2 Service of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> 3 Service of Internal Medicine, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland<br> ABSTRACT<br> Background: Cognitive deficits were often reported during the acute and post-acute stages of severe COVID-19 and were often, but not always, associated with signs of brain damage. Population-wide surveys highlighted the need for investigations into the nature, the severity and the evolution of cognitive, behavioural and psychiatric deficits.<br> Case presentation: We report the outcome at 12 months after severe COVID-19 involving intensive care unit stay and mechanical ventilation in six patients. None of the patients had history of prior brain dysfunction and none sustained stroke and/or cardiac arrest during COVID-19. A pervading mental and physical fatigue was consistently reported as well as numerous multidomain complaints, which affect to some extend everyday life, and for some of the patients a mental fatiguability, a certain degree of neurobehavioural (apathy) and/or psychiatric (anxiety) dysfunction. Standardized neuropsychological tests revealed for 4 of the 6 patients the occurrence relatively isolated of cognitive dysfunction or performance at the lower limit of the norm in some, but not all attentional, executive and/or working memory tests. Somatic scales highlighted the presence of dyspnoea, muscle weakness, olfactory disorder and/or minor sleep problems in some but not all patients.<br> Conclusion: Fatigue, fatiguability, multidomain complaints, which affect to some extend everyday life, cognitive dysfunction or performance at the lower limit of the norm and a certain degree of neurobehavioural and/or psychiatric and/or somatic dysfunction can occur in the aftermath of severe COVID-19 even in the absence of neurological antecedents or of COVID-19-related stroke and/or cardiac arrest.
DOI: 10.24378/exe.4086
title: Disc-averaged radial-velocity variations and unsigned magnetic flux of the Sun from SDO/HMI images

description: This is the dataset used for the Haywood et al. (2022) article "Unsigned magnetic flux as a proxy for radial-velocity variations in Sun-like stars" published in The Astrophysical Journal.
description: We estimate disc-averaged radial-velocity variations, unsigned magnetic flux and active-region filling factors of the Sun using spatially resolved images from SDO/HMI between 2010 and 2018. We include overlapping S-index data and total solar irradiance data. Everything is described in detail in the associated paper: Unsigned magnetic flux as a proxy for radial-velocity variations in Sun-like stars, Haywood et al., 2022, in press at ApJ.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/130655
DOI: 10.17045/sthlmuni.20472165
title: On Interpersonal Distance, Time of a Conversation and Perceived Virus Exposure

description: Most COVID-19 infections are caused by airborne corona viruses. A model based on empirical and theoretical studies of dispersion of particles in the air was used to estimate a person’s virus exposures during different times and distances from a virus infected person. Participants judged perceived virus exposure at different interpersonal distances in a face to face conversation with an infected person. The smallest average face to face distance from an infected person without a mask that a participant judged as sufficiently safe was 13.5 meters. A majority (75%) of the participants underestimated the effect on virus exposure following a change of interpersonal distance. By way of contrast, judgments of exposure as a function of the duration of a conversation were unbiased. The results are important for administrators and communications to the general public about social distancing and infection risks.
DOI: 10.17045/sthlmuni.20472165.v1
title: On Interpersonal Distance, Time of a Conversation and Perceived Virus Exposure

description: Most COVID-19 infections are caused by airborne corona viruses. A model based on empirical and theoretical studies of dispersion of particles in the air was used to estimate a person’s virus exposures during different times and distances from a virus infected person. Participants judged perceived virus exposure at different interpersonal distances in a face to face conversation with an infected person. The smallest average face to face distance from an infected person without a mask that a participant judged as sufficiently safe was 13.5 meters. A majority (75%) of the participants underestimated the effect on virus exposure following a change of interpersonal distance. By way of contrast, judgments of exposure as a function of the duration of a conversation were unbiased. The results are important for administrators and communications to the general public about social distancing and infection risks.
DOI: 10.5517/ccdc.csd.cc20n821
title: CCDC 1866512: Experimental Crystal Structure Determination

description: Related Article: Xueyu Wang, Lianjun Song, Long Li, Zhuang Wang, Qiuju Li, Lanlan He, Xuanhao Huang, Songdong Ding|2022|Inorg.Chem.|61|13293|doi:10.1021/acs.inorgchem.2c00675
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27331j
title: CCDC 2058556: Experimental Crystal Structure Determination

description: Related Article: Xueyu Wang, Lianjun Song, Long Li, Zhuang Wang, Qiuju Li, Lanlan He, Xuanhao Huang, Songdong Ding|2022|Inorg.Chem.|61|13293|doi:10.1021/acs.inorgchem.2c00675
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29h2kg
title: CCDC 2129655: Experimental Crystal Structure Determination

description: Related Article: Ningning Zhu, Muhammad Asadullah Khan, Wenmin Pang, Shabnam Behzadi, Muhammad Qasim|2022|Eur.Polym.J.|178|111497|doi:10.1016/j.eurpolymj.2022.111497
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bmp0p
title: CCDC 2163862: Experimental Crystal Structure Determination

description: Related Article: Róbert Tarasenko, Olha Vinnik, Ivan Potočňák, Katarína Zakuťanská, Liliia Kotvytska, Vladimír Zeleňák, Martin Orendáč, Natália Tomašovičová, Alžbeta Orendáčová|2022|Materials Today Comm.|33|104221|doi:10.1016/j.mtcomm.2022.104221
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bqptl
title: CCDC 2166770: Experimental Crystal Structure Determination

description: Related Article: Gautam Gogoi, Jayanta K. Nath, Nazimul Hoque, Subir Biswas, Nand K. Gour, Dhruba Jyoti Kalita, Smiti Rani Bora, Kusum K. Bania|2022|Appl.Catal.,A|644|118816|doi:10.1016/j.apcata.2022.118816
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bqpvm
title: CCDC 2166771: Experimental Crystal Structure Determination

description: Related Article: Gautam Gogoi, Jayanta K. Nath, Nazimul Hoque, Subir Biswas, Nand K. Gour, Dhruba Jyoti Kalita, Smiti Rani Bora, Kusum K. Bania|2022|Appl.Catal.,A|644|118816|doi:10.1016/j.apcata.2022.118816
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bqqsl
title: CCDC 2166800: Experimental Crystal Structure Determination

description: Related Article: Gautam Gogoi, Jayanta K. Nath, Nazimul Hoque, Subir Biswas, Nand K. Gour, Dhruba Jyoti Kalita, Smiti Rani Bora, Kusum K. Bania|2022|Appl.Catal.,A|644|118816|doi:10.1016/j.apcata.2022.118816
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20699818
title: Accelerometer data for analysis

description: These datasets contain movement data and coat colour data from accelerometer-collared hares collected during the autumns of 2015-2017 and springs of 2015-2018. We analyzed how coat colour mismatch affects snowshoe hare foraging time across these two seasons. For more details on how foraging behaviour was inferred from accelerometer data, see Studd et al. (2019). Other variables that influence snowshoe hare foraging time are also included in these datasets. Data were collected in the Kluane Lake region of the Yukon.
DOI: 10.6084/m9.figshare.20557296
title: Survival data for analysis

description: These datasets contain survival data for snowshoe hares collected in the springs of 2015-2018, between March 1 and May 31 and in the falls of 2015-2018, between September 1 and December 1. Survival data were obtained by conducting telemetry checks on VHF-collared hares. Various covariates of interest are included, such as weather metrics and coat colour mismatch values. We used these datasets to assess the influence of coat colour mismatch on snowshoe hare autumn and spring survival. These data were collected in the Kluane Lake region of the Yukon. <br>
DOI: 10.5281/zenodo.5806683
title: Dataset for "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester"

description: Dataset including all data used for the elaboration of the work "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester" published in Advanced Materials Technologies, 2022 https://doi.org/10.1002/admt.202101715 The files includes: · INDIVIDUAL NW data: - I-V data of each NW at different temperatures - 3w data of each NW at different temperatures<br> - 4 SEM images of the NW, each of them used for assessing one NW parameter<br> - Tip: NW diameter 2<br> - Base: NW diameter 1<br> - Overall: NW length<br> - Tilted view at 45º: Relative NW heigh over substrate · SEEBECK MEASUREMENT data: - Voc versus applied dT data for each substrate temperature<br> - File containig calibration data for all resistors · TEM data: -TEM images of the studied NWs in .dm3 format. · X-RAY FLUORESCENCE data: - Maps containing one energy spectrum per pixel in .hdf files. · TIP-ENHANCED RAMAN SPECTROSCOPY data: - Maps containing one energy spectrum per pixel in a tabulated .txt file. · POWER HARVESTED data: - IV curves of each microthermocouple connection X-Y upon different substrate temperatures in tabulated separated .txt files
description: {"references": ["J.M. Sojo et al. \"Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester\" Advanced Materials Technologies, 2022, [Online] https://doi.org/10.1002/admt.202101715"]}
DOI: 10.5281/zenodo.5806684
title: Dataset for "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester"

description: Dataset including all data used for the elaboration of the work "Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester" published in Advanced Materials Technologies, 2022 https://doi.org/10.1002/admt.202101715 The files includes: · INDIVIDUAL NW data: - I-V data of each NW at different temperatures - 3w data of each NW at different temperatures<br> - 4 SEM images of the NW, each of them used for assessing one NW parameter<br> - Tip: NW diameter 2<br> - Base: NW diameter 1<br> - Overall: NW length<br> - Tilted view at 45º: Relative NW heigh over substrate · SEEBECK MEASUREMENT data: - Voc versus applied dT data for each substrate temperature<br> - File containig calibration data for all resistors · TEM data: -TEM images of the studied NWs in .dm3 format. · X-RAY FLUORESCENCE data: - Maps containing one energy spectrum per pixel in .hdf files. · TIP-ENHANCED RAMAN SPECTROSCOPY data: - Maps containing one energy spectrum per pixel in a tabulated .txt file. · POWER HARVESTED data: - IV curves of each microthermocouple connection X-Y upon different substrate temperatures in tabulated separated .txt files
description: {"references": ["J.M. Sojo et al. \"Tuning the thermoelectric properties of boron-doped silicon nanowires integrated in a micro-harvester\" Advanced Materials Technologies, 2022, [Online] https://doi.org/10.1002/admt.202101715"]}
DOI: 10.6084/m9.figshare.19435496.v6
title: Temporal and frontal contributions to neural synchronization dysfunction and auditory attention in FXS

description: Source localization of auditory sensory chirp auditory evoked potentials and spectral event analysis.
DOI: 10.5285/e777252b-b44a-7978-e053-6c86abc0d89f
title: Nitrogen isotope measurements from Arctic rivers and permafrost degradation sites, February 2017 - September 2018.

description: This dataset contains measurements of various nitrogen isotopes of water samples taken from the six largest Arctic rivers. Nutrient concentrations (TDN, nitrate, phosphate, ammonium, DIN and DON) from the Ob, Kolyma, Yenisey, Lena, Mackenzie and Yukon rivers were used to help generate these isotopic data. These were taken from the publicly available ArcticGRO data repository (Holmes et al., (2021), https://arcticgreatrivers.org/data/) with permission from Holmes, R.M, so are not shown in this dataset. The physical water samples that these measurements were made from were utilised and nitrogen (and oxygen) isotopes of nitrate were measured along with nitrogen isotopes of TDN and DON as part of this project by Francis, A and Tuerena, R.E. The samples were collected between February 2017 and September 2018 for the ARISE project which is part of the Changing Arctic Ocean project. This dataset also contains data from permafrost degradation site samples and downstream in the Kolyma River. These were collected by Spencer, R.G.M and Rogers, J.A and were analysed for concentrations of nitrate, TDN and DON as well as the same isotopes outlined above by Francis, A. The combination of the isotopic measurements from ArcticGRO samples along with the nutrient and isotopic measurements from the Kolyma River form this submitted dataset.
DOI: 10.6084/m9.figshare.20526978
title: Complete mitochondrial genome of the branching octocoral Paramuricea grayi (Johnson, 1861), phylogenetic relationships and divergence analysis

description: The present data files are supporting data to the manuscript submission to <em>Mitochondrial DNA Part B</em> announcing the mitochondrial genome sequence of the octocoral <em>Paramuricea grayi</em>. The fasta files included contain the complete/partial mitochondrial genome sequences of multiple specimens of <em>Paramuricea grayi, Paramuricea clavata </em>and <em>Paramuricea biscaya a</em>assembled from RNA-seq data. The mitogenomes were assembled with MITGARD (<strong>Mit</strong>ochondrial <strong>G</strong>enome <strong>A</strong>ssembly from <strong>R</strong>NA-seq <strong>D</strong>ata) (Nachtigall et al. 2021) using default parameters and the reference mitogenome of<em> P. clavata</em> as bait (Genbank Accession: NC_034749). The RNA-seq read data for <em>P. clavata</em> and <em>P. grayi</em> were obtained from a previous study by our teams (Coelho et al. 2022), which has been submited for publication in Molecular Ecology (Authorea pre-print: DOI:10.22541/au.165544523.32209087/v1). The raw read data can be retrieved from NCBI's Sequence Read Archive (SRA) under BioProject ID PRJNA847883. The <em>P. biscaya</em> raw data are from a previous study by DeLeo et al. 2018 and can be accessed in SRA under BioProject ID PRJNA481028. The top quality assemblies for <em>P. grayi</em> (isolate=BAL_C3) and <em>P. clavata</em> (isolate=VAC_T1) have been submitted to Genbank under accessions OP205061 and OP205062, respectively. <br> <strong>References</strong> Coelho MAG, Pearson G, Boavida J, Paulo D, Aurelle D, Arnaud-Haond S, Gómez-Gras D, Bensoussan N, López- Sendino P, Cerrano C, Kipson S, Bakran-Petricioli T, Ferretti E, Linares C, Garrabou J, Serrão E, Ledoux J-B (2022) Not out of the Mediterranean: Atlantic populations of the gorgonian <em>Paramuricea clavata </em>are a separate sister species under further lineage diversification. Authorea. DOI:10.22541/au.165544523.32209087/v1 <br> DeLeo DM, Herrera S, Lengyel SD, Quattrini AM, Kulathinal RJ, Cordes EE. 2018. Gene expression profiling reveals deep-sea coral response to the Deepwater Horizon oil spill. Mol Ecol. 27:4066–4077. <br> Nachtigall PG, Grazziotin FG, Junqueira-De-Azevedo ILM. 2021. MITGARD: An automated pipeline for mitochondrial genome assembly in eukaryotic species using RNA-seq data. Brief Bioinform. 22(5):1-15.