cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2b7ym5
title: CCDC 2152597: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7yn6
title: CCDC 2152598: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7yp7
title: CCDC 2152599: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7yq8
title: CCDC 2152600: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7yr9
title: CCDC 2152601: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7ysb
title: CCDC 2152602: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7ytc
title: CCDC 2152603: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.5517/ccdc.csd.cc2b7yvd
title: CCDC 2152604: Experimental Crystal Structure Determination

description: Related Article: J. Bąkowicz, I. Turowska-Tyrk|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|223|doi:10.1107/S2052520622001810
DOI: 10.15131/shef.data.14595870
title: Longitudinal and transverse dispersion within cylinder arrays with varying cylinder diameter distributions

description: This dataset describes CFD simulations run at the University of Sheffield in 2019-2020 to investigate the effects of stem size distribution on dispersion within random cylinder arrays. It reports geometry characteristics, model results, and dispersion coefficients. 159 geometries were generated and 137 CFD simulations were run consisting of combinations of 8 stem diameter distributions and 20 solid volume fractions. This dataset was created by Dr Fred Sonnenwald under EPSRC grant EP/P012027/1. It accompanies the journal article entitled “The Impact of Cylinder Diameter Distribution on Longitudinal and Transverse Dispersion within Random Cylinder Arrays”.<br>
DOI: 10.15131/shef.data.14595870.v2
title: Stem Diameter Distribution transverse and longitudinal Dispersion within cylinder arrays

description: This dataset describes CFD simulations run at the University of Sheffield in 2019-2020 to investigate the effects of stem size distribution on dispersion within random cylinder arrays. It reports geometry characteristics, model results, and dispersion coefficients. 159 geometries were generated and 137 CFD simulations were run consisting of combinations of 8 stem diameter distributions and 20 solid volume fractions. This dataset was created by Dr Fred Sonnenwald under EPSRC grant EP/P012027/1. It accompanies the journal article entitled “The Impact of Stem Diameter Distribution on Transverse and Longitudinal Dispersion within Random Cylinder Arrays”.
DOI: 10.6084/m9.figshare.16943734
title: Data & Scripts Figure 2

description: Data and scripts to generate Figure 2.Please see README.txt file.<br>
DOI: 10.6084/m9.figshare.16943734.v8
title: Data & Scripts Figure 2

description: Data and scripts to generate Figure 2.Please see README.txt file.<br>
DOI: 10.14457/cu.the.2012.172
title: การศึกษากระบวนการถ่ายทอดการบรรเลงระนาดเอกของครูอุทัย แก้วละเอียด
DOI: 10.6084/m9.figshare.17705984
title: Dissemination of a single ST11 clone of OXA-48-producing Klebsiella pneumoniae within a large polyclonal hospital outbreak determined by genomic sequencing

description: Supplementary Material for ‘Dissemination of a single ST11 clone of OXA-48-producing <i>Klebsiella pneumoniae</i> within a large polyclonal hospital outbreak determined by genomic sequencing’, as published in <i>Microbial Genomics</i>. <br>
DOI: 10.6084/m9.figshare.17705984.v1
title: Dissemination of a single ST11 clone of OXA-48-producing Klebsiella pneumoniae within a large polyclonal hospital outbreak determined by genomic sequencing

description: Supplementary Material for ‘Dissemination of a single ST11 clone of OXA-48-producing <i>Klebsiella pneumoniae</i> within a large polyclonal hospital outbreak determined by genomic sequencing’, as published in <i>Microbial Genomics</i>. <br>
DOI: 10.5281/zenodo.6418507
title: [Data Only]

description: [Data only]
DOI: 10.5281/zenodo.6418503
title: [Data Only]

description: [Data only]
DOI: 10.5281/zenodo.5734908
title: Cu-doping effects on the ferromagnetic semimetal CeAuGe

description: Dataset for the Journal article entitled "Cu-doping effects on the ferromagnetic semimetal CeAuGe"
DOI: 10.5281/zenodo.5734907
title: Cu-doping effects on the ferromagnetic semimetal CeAuGe

description: Dataset for the Journal article entitled "Cu-doping effects on the ferromagnetic semimetal CeAuGe"
DOI: 10.5255/ukda-sn-855578
title: An Action Plan to Improve Diet Quality and Break up Sedentary Time When Working from Home, 2021

description: Dataset and associated material from an intervention study to test whether online video resources integrated into an action plan will result in greater engagement resources than when the resources are not part of a plan. Data were collected in partnership with a wellbeing company specialising in the provision of online wellbeing resources. The data collected were quantitative data about participants’ engagement with the wellbeing resources, including demographic and self-reported variables (N = 67), qualitative text data about participants' perceived barriers to the intervention implementation (N = 67) and anonymised transcripts of qualitative follow up interviews with study participants (N = 10).
DOI: 10.6084/m9.figshare.5738439.v9
title: Tattooed Human Mummies, List Version 4.0

description: The following presents a global data set identifying naturally- and deliberately preserved tattooed human remains from the archaeological record. The initial version of this list (Version 1.0) was compiled in 2016 for inclusion as Table 1 in the journal article “The World’s Oldest Tattoos” (Deter-Wolf et al. 2016). Benoît Robitaille, Lars Krutak, and Sébastien Galliot all contributed to that initial effort. Changes between versions are detailed below.<b><br></b>Entries in the data table are organized broadly by date, and rely on direct dating wherever possible. Where radiocarbon data is available, dates represent calibrated ranges. Each entry also includes documentation as to the associated archaeological culture, site, and significant source material. At the present time, unpublished and/or unprovenienced specimens from museums and private collections are not generally included in the data set.<b><br><br></b>Changes from Version 3.0 to 4.0 (2021):-Citations added -New entries for Andean and Hawai’ian examples-Reorganized Andean entries to account for unprovenienced examples -Collapsed single site entries except where dates differ -Hyperlinks improved for source material<b><br></b>Changes from Version 2.0 to 3.0 (2019):-Citations added-New entries for additional Andean and Egyptian examples-Added hyperlinks for source material<b><br></b>Changes from Version 1.0 to 2.0 (2017):-Deleted “Loulan Beauty” from Gumugou, Qäwrighul, China, who is not tattooed-Updated Egyptian data-Improved citations and corrected date ranges as necessary-New entries for Timbac Rockshelter and Andean examples
DOI: 10.5281/zenodo.5842690
title: under review

description: under review
DOI: 10.5066/p9jbw6r9
title: Global gray-sky dT: the inverse of the surface psychrometric constant parameter in the SSEBop evapotranspiration model

description: The surface psychrometric constant (spc) is a key model parameter in actual evapotranspiration modeling using the Operational Simplified Surface Energy Balance (SSEBop) model for establishing model boundary limits for the dry/bare and wet/vegetated surface conditions. The inverse of the constant (1/spc) represents the temperature difference (dT) between the bare/dry surface and the air temperature at the canopy level. The main output of the SSEBop model is an ET fraction (0-1) and, when combined with reference ("maximum") ET, produces an actual ET estimate from satellite-observed land surface temperature. This dT is determined using net radiation inputs under gray-sky radiations from the ERA-5 datasets, i.e., Surface Solar Radiation Downwards instead of clear-sky assumptions used for the previous dT versions. The dT estimates are adjusted for elevation effects using established equations.
DOI: 10.5281/zenodo.6394683
title: VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection

description: A synthetic dataset for <em>visual fallen people detection </em>comprising images extracted from the highly photo-realistic video game Grand Theft Auto V developed by Rockstar North. Each image is labeled by the game engine providing bounding boxes and statuses (fallen or non-fallen) of people present in the scene.<br> The dataset comprises 6,071 synthetic images depicting 7,456 fallen and 26,125 non-fallen pedestrian instances in various looks, camera positions, background scenes, lightning, and occlusion conditions.
DOI: 10.5281/zenodo.6418172
title: LiBforSecUse Data Release - Impedance spectra of life cycle tests of commercial 18650 cells

description: The EMPIR project LiBforSecUse aimed to develop empirical measurement models to estimate the residual capacity of second-use Li-ion battery cells with impedance-based measurement and evaluation methods. The models have been established based on a series of life cycle tests of commercial 18650 (graphite/NMC) cells including regular impedance spectroscopy and capacity measurements. The measured data are made publicly available here. They can be downloaded to verify the models established within the project and they may be used for further investigations. However, the user is asked to pay tribute to the project and the researchers providing the data by citing this data source. A pdf file is added to give more detailed information on the data.
DOI: 10.5281/zenodo.6415062
title: Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude (dataset)

description: public anonymized dataset of the main findings of the study Abstract: The interest in photoplethysmography (PPG) for sleep monitoring is increasing because PPG may allow assessing the heart rate variability (HRV), which is particularly important in breathing disorders. Thus, we aim to evaluate how PPG wearable systems measure HRV during sleep at high altitudes, where hypobaric hypoxia induces respiratory disturbances. We considered PPG and electrocardiographic recordings in 21 volunteers sleeping at 4554m asl (as a model of sleep breathing disorder), and 5 alpine guides sleeping at sea level, 6000m and 6800m asl. Power spectra, multiscale entropy, and self-similarity were calculated for PPG tachograms and electrocardiography R-R intervals (RRI). Results demonstrated that wearable PPG devices provide HRV measures even at extremely high altitudes. However, the comparison between PPG tachograms and RRI showed discrepancies in the faster spectral components and at the shorter scales of self-similarity and entropy (TABLE 1). Furthermore, the changes in sleep HRV from sea level to extremely high altitudes quantified by RRI and PPG tachograms in the 5 alpine guides tended to be different at the faster frequencies and shorter scales (TABLE 2). Discrepancies may be explained by modulations of pulse wave velocity and should be considered to interpret correctly autonomic alterations during sleep from HRV analysis.
DOI: 10.5281/zenodo.6415061
title: Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude (dataset)

description: public anonymized dataset of the main findings of the study Abstract: The interest in photoplethysmography (PPG) for sleep monitoring is increasing because PPG may allow assessing the heart rate variability (HRV), which is particularly important in breathing disorders. Thus, we aim to evaluate how PPG wearable systems measure HRV during sleep at high altitudes, where hypobaric hypoxia induces respiratory disturbances. We considered PPG and electrocardiographic recordings in 21 volunteers sleeping at 4554m asl (as a model of sleep breathing disorder), and 5 alpine guides sleeping at sea level, 6000m and 6800m asl. Power spectra, multiscale entropy, and self-similarity were calculated for PPG tachograms and electrocardiography R-R intervals (RRI). Results demonstrated that wearable PPG devices provide HRV measures even at extremely high altitudes. However, the comparison between PPG tachograms and RRI showed discrepancies in the faster spectral components and at the shorter scales of self-similarity and entropy (TABLE 1). Furthermore, the changes in sleep HRV from sea level to extremely high altitudes quantified by RRI and PPG tachograms in the 5 alpine guides tended to be different at the faster frequencies and shorter scales (TABLE 2). Discrepancies may be explained by modulations of pulse wave velocity and should be considered to interpret correctly autonomic alterations during sleep from HRV analysis.
DOI: 10.5281/zenodo.6255531
title: Valerio et al._Piton de la Fournaise

description: We upload the DInSAR measurements and the seismological data that we have employed in our work entitled "The August 2019 Piton de la Fournaise (La Réunion Island) eruption: analysis of the multi-source deformation pattern detected through Sentinel-1 DInSAR measurements".
DOI: 10.5281/zenodo.6255530
title: Valerio et al._Piton de la Fournaise

description: We upload the DInSAR measurements and the seismological data that we have employed in our work entitled "The August 2019 Piton de la Fournaise (La Réunion Island) eruption: analysis of the multi-source deformation pattern detected through Sentinel-1 DInSAR measurements".
DOI: 10.6084/m9.figshare.19524229
title: Dataset TB-N70FIG.xlsx

description: This is a dataset for research in vitamin D level under-five children with Tuberculosis.
DOI: 10.6084/m9.figshare.19524229.v1
title: Dataset TB-N70FIG.xlsx

description: This is a dataset for research in vitamin D level under-five children with Tuberculosis.
DOI: 10.15156/bio/sh1620251.08fu
title: SH1620251.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620252.08fu
title: SH1620252.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620253.08fu
title: SH1620253.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620254.08fu
title: SH1620254.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/one-c4-25963
title: ONE, Inc. annual report (1958)

description: ONE, Inc. annual report (1958)
DOI: 10.15156/bio/sh1620255.08fu
title: SH1620255.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620256.08fu
title: SH1620256.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620257.08fu
title: SH1620257.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1620258.08fu
title: SH1620258.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.