cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19107707
title: Ervi_missingSexRemoved.csv

description: The CSV file that contains the same data as Ervi.csv, but only with rows that had an emerged parasitoid wasp. For easier running of the R script. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script "Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.19107710.v1
title: Parasitation MatCol comparison lme4_MMB.R

description: The R file to run the generalized linear mixed model using the lme4 package to compare the parasitation success of A. colemani and A. matricariae on M. persicae.
DOI: 10.6084/m9.figshare.19086500
title: 16S rRNA sequences from greenhouse aphid samples and README file.zip

description: A zipped folder containing all cleaned-up 16S rRNA sequences from greenhouse aphid samples and README file.
DOI: 10.6084/m9.figshare.19107683
title: Matricariae.csv

description: The CSV file that contains the parasitation data of Aphidius matricariae on Myzus persicae. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.19107683.v1
title: Matricariae.csv

description: The CSV file that contains the parasitation data of Aphidius matricariae on Myzus persicae. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.19107710
title: Parasitation MatCol comparison lme4_MMB.R

description: The R file to run the generalized linear mixed model using the lme4 package to compare the parasitation success of A. colemani and A. matricariae on M. persicae.
DOI: 10.6084/m9.figshare.18758417.v1
title: Colemani_missingSexRemoved.csv

description: The CSV file that contains the same data as Colemani.csv, but only with rows that had an emerged parasitoid wasp. For easier running of the R script. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script "Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758417
title: Colemani_missingSexRemoved.csv

description: The CSV file that contains the same data as Colemani.csv, but only with rows that had an emerged parasitoid wasp. For easier running of the R script. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script "Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758459.v1
title: Colemani.csv

description: The CSV file that contains the parasitation data of Aphidius colemani on Myzus persicae. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758420
title: Distribution.xlsx

description: The Excel file that contains the distribution data of M. persicae and A. solani throughout the greenhouses, including variable descriptions.
DOI: 10.6084/m9.figshare.18758435
title: Distribution lme4.R

description: The R file to run the generalized linear mixed model using the lme4 package on the dataset that describes the distribution of Myzus persicae and Aulacorthum solani throughout greenhouses.
DOI: 10.6084/m9.figshare.18758474
title: Distribution.csv

description: The CSV file that contains the distribution data of M. persicae and A. solani throughout the greenhouses. The same dataset as 'Distribution.xlxs', but without the variable descriptions. Used in R script 'Distribution lme4.R'.
DOI: 10.6084/m9.figshare.18758447.v1
title: Matricariae_missingSexRemoved.csv

description: The CSV file that contains the same data as Matricariae.csv, but only with rows that had an emerged parasitoid wasp. For easier running of the R script. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script "Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758474.v1
title: Distribution.csv

description: The CSV file that contains the distribution data of M. persicae and A. solani throughout the greenhouses. The same dataset as 'Distribution.xlxs', but without the variable descriptions. Used in R script 'Distribution lme4.R'.
DOI: 10.6084/m9.figshare.18758477
title: Parasitation lme4.R

description: The R file to run the generalized linear mixed model using the lme4 package on the dataset that describes the parasitation success and sex rates of the emerged wasps of Aphidius colemani and A. matricariae on M. persicae, and of A. ervi on Aulacorthum solani.
DOI: 10.5258/soton/d2080
title: Dataset for Increasing the diameter of vertically aligned, hexagonally ordered pores in mesoporous silica thin films

description: Raw data associated with article "Increasing the diameter of vertically aligned, hexagonally ordered pores in mesoporous silica thin films" in journal Langmuir
DOI: 10.6084/m9.figshare.18758351
title: Parasitism_RawData.xlsx

description: The Excel file that contains the raw data on all parasitation experiments including variable descriptions.
DOI: 10.6084/m9.figshare.18758351.v1
title: Parasitism_RawData.xlsx

description: The Excel file that contains the raw data on all parasitation experiments including variable descriptions.
DOI: 10.6084/m9.figshare.18758369
title: Ervi.csv

description: The CSV file that contains the parasitation data of Aphidius ervi on Aulacorthum solani. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758369.v1
title: Ervi.csv

description: The CSV file that contains the parasitation data of Aphidius ervi on Aulacorthum solani. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758447
title: Matricariae_missingSexRemoved.csv

description: The CSV file that contains the same data as Matricariae.csv, but only with rows that had an emerged parasitoid wasp. For easier running of the R script. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script "Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758459
title: Colemani.csv

description: The CSV file that contains the parasitation data of Aphidius colemani on Myzus persicae. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation lme4.R'.
DOI: 10.6084/m9.figshare.18758393
title: README.txt

description: This file contains the information on the other files in this project, except for the sequence data, which has its own README file.
DOI: 10.6084/m9.figshare.18758393.v1
title: README.txt

description: This file contains the information on the other files in this project, except for the sequence data, which has its own README file.
DOI: 10.5281/zenodo.5948764
title: Dataset to submitted manuscript "Imaging fluorescence blinking of a mitochondrial localization probe - cellular localization probes turned into multi-functional sensors"

description: <strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to JACS</strong><strong>, and entitled:</strong> <strong><em>Imaging fluorescence blinking of a mitochondrial localization probe - cellular localization probes turned into multi-functional sensors</em></strong> <strong>Authored by:</strong> Zhixue Du<sup>a</sup><em>, </em>Joachim Piguet<sup>a,+</sup>, Gleb Baryshnikov<sup>b,+</sup>, Johan Tornmalm<sup>a</sup>, Baris Demirbay<sup>a</sup>, Hans Ågren<sup>b</sup>, Jerker Widengren<sup>a,*</sup> <sup>a</sup> Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova Univ Center 106 91 Stockholm, Sweden <sup>b</sup> Royal Institute of Technology (KTH), Dept Theroretical Chemistry and Biology, Albanova Univ Center 106 91 Stockholm, Sweden <sup>+</sup> Contributed equally * Corresponding author: Email: jwideng@kth.se, Phone: +46-8-7907813 <strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong> <strong>ABSTRACT</strong> Mitochondrial membranes and their microenvironments directly influence and reflect cellular metabolic states, but are difficult to probe on site, in live cells. Here, we demonstrate a strategy, showing how the widely used mitochondrial membrane localization fluorophore 10-Nonyl Acridine Orange (NAO) can be transformed into a multi-functional probe of membrane microenvironments, by monitoring its blinking kinetics. By transient state (TRAST) studies of NAO in small unilamellar vesicles (SUVs), together with computational simulations, we found that NAO exhibits prominent reversible singlet-triplet state transitions and can act as a light-induced Lewis acid forming a red-emissive doublet radical. The resulting blinking kinetics are highly environment sensitive, specifically reflecting local membrane oxygen concentrations, redox conditions, membrane charge, fluidity and lipid compositions. Here, not only cardiolipin concentration, but also the cardiolipin acyl chain composition was found to strongly influence the NAO blinking kinetics. The blinking kinetics also reflect hydroxyl ion dependent transitions to and from the fluorophore doublet radical, closely coupled to the proton transfer events in the membranes, local pH, and two- and three-dimensional buffering properties on and above the membranes. Following the SUV studies we show by TRAST imaging that the fluorescence blinking properties of NAO can be imaged in live cells, in a spatially resolved manner. Generally, the demonstrated blinking imaging strategy can transform existing fluorophore markers into multi-parametric sensors reflecting conditions of large biological relevance, which are difficult to retrieve by other means. This opens additional possibilities for fundamental membrane studies in lipid vesicles and live cells.
DOI: 10.17632/gnsk35wyys.1
title: InsB9-23 Gene Transfer To Hepatocytes-Based Combined Therapy Abrogates Recurrence Type-1 Diabetes After Islet Transplantation.

description: doi: 10.2337/db19-1249 
tabular data related to figure reported (.csv)
descriptive document of  tabular data (.rtf)
DOI: 10.5281/zenodo.5948757
title: Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations.

description: Faes L, Pernice R, Mijatovic G, Antonacci Y, Krohova JC, Javorka M, Porta A. Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200250. doi: 10.1098/rsta.2020.0250. Epub 2021 Oct 25. PMID: 34689619. Abstract While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows us to retrieve amounts of information shared by the processes within specific frequency bands which are otherwise not detectable by time-domain information measures, as well as coupling features which are not detectable by spectral measures. Then, it is applied to the time series of heart period, systolic and diastolic arterial pressure and respiration variability measured in healthy subjects monitored in the resting supine position and during head-up tilt. We show that the spectral measures of unique, redundant and synergistic information shared by these variability series, integrated within specific frequency bands of physiological interest and reflect the mechanisms of short-term regulation of cardiovascular and cardiorespiratory oscillations and their alterations induced by the postural stress. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.
DOI: 10.5281/zenodo.5948756
title: Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations.

description: Faes L, Pernice R, Mijatovic G, Antonacci Y, Krohova JC, Javorka M, Porta A. Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200250. doi: 10.1098/rsta.2020.0250. Epub 2021 Oct 25. PMID: 34689619. Abstract While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows us to retrieve amounts of information shared by the processes within specific frequency bands which are otherwise not detectable by time-domain information measures, as well as coupling features which are not detectable by spectral measures. Then, it is applied to the time series of heart period, systolic and diastolic arterial pressure and respiration variability measured in healthy subjects monitored in the resting supine position and during head-up tilt. We show that the spectral measures of unique, redundant and synergistic information shared by these variability series, integrated within specific frequency bands of physiological interest and reflect the mechanisms of short-term regulation of cardiovascular and cardiorespiratory oscillations and their alterations induced by the postural stress. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.
DOI: 10.6084/m9.figshare.19107857
title: data sheet

description: data
DOI: 10.6084/m9.figshare.19107857.v1
title: data sheet

description: data
DOI: 10.6084/m9.figshare.19107854
title: VanGalen.obj

description: Healthy bone marrow cells annotated from VanGalen et al, 2019. Seurat object
DOI: 10.5258/soton/wp00731
title: National automatic preEnumeration Areas (preEAs) in Burkina Faso (2019), version 1.0

description: These data were produced by the WorldPop Research Group at the University of Southampton. GRID3 is supporting the realisation of a fully digital census in Burkina Faso (BFA). BFA has conducted the fifth national population and housing census in December 2019-January 2020. For the purpose of the census data collection, the territory of Burkina Faso was divided into operational geographic units called Enumeration Zones (Zones de Dénombrements (ZDs)) which is equivalent to Enumeration Areas (EAs). The main limitation of this census is that the EA boundaries have been drawn manually on paper and there is currently no national digitized EA dataset for BFA. This makes the processing, dissemination and analysis of census data limited to summary tables and more complex spatial analyses are difficult. In addition, since the current EA boundaries are not georeferenced, accurate statistical summarization of the collected georeferenced census data at the EA level or for custom areas and representation of these on digital maps is a challenge. GRID3 supports the National Institute of Statistics and Demography (INSD) in digitalisation by semi-automatically creating preEnumeration Area datasets that can speed up and make the digital EAs demarcation more robust.
DOI: 10.5281/zenodo.5948840
title: Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists

description: Cairo B, de Abreu RM, Bari V, Gelpi F, De Maria B, Rehder-Santos P, Sakaguchi CA, da Silva CD, De Favari Signini É, Catai AM, Porta A. Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200251. doi: 10.1098/rsta.2020.0251. Epub 2021 Oct 25. PMID: 34689616. Abstract We propose a procedure suitable for automated synchrogram analysis for setting the threshold below which phase variability between two marker event series is of such a negligible amount that the null hypothesis of phase desynchronization can be rejected. The procedure exploits the principle of maximizing the likelihood of detecting phase synchronization epochs and it is grounded on a surrogate data approach testing the null hypothesis of phase uncoupling. The approach was applied to assess cardiorespiratory phase interactions between heartbeat and inspiratory onset in amateur cyclists before and after 11-week inspiratory muscle training (IMT) at different intensities and compared to a more traditional approach to set phase variability threshold. The proposed procedure was able to detect the decrease in cardiorespiratory phase locking strength during vagal withdrawal induced by the modification of posture from supine to standing. IMT had very limited effects on cardiorespiratory phase synchronization strength and this result held regardless of the training intensity. In amateur athletes training, the inspiratory muscles did not limit the decrease in cardiorespiratory phase synchronization observed in the upright position as a likely consequence of the modest impact of this respiratory exercise, regardless of its intensity, on cardiac vagal control. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.
DOI: 10.5281/zenodo.5948839
title: Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists

description: Cairo B, de Abreu RM, Bari V, Gelpi F, De Maria B, Rehder-Santos P, Sakaguchi CA, da Silva CD, De Favari Signini É, Catai AM, Porta A. Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200251. doi: 10.1098/rsta.2020.0251. Epub 2021 Oct 25. PMID: 34689616. Abstract We propose a procedure suitable for automated synchrogram analysis for setting the threshold below which phase variability between two marker event series is of such a negligible amount that the null hypothesis of phase desynchronization can be rejected. The procedure exploits the principle of maximizing the likelihood of detecting phase synchronization epochs and it is grounded on a surrogate data approach testing the null hypothesis of phase uncoupling. The approach was applied to assess cardiorespiratory phase interactions between heartbeat and inspiratory onset in amateur cyclists before and after 11-week inspiratory muscle training (IMT) at different intensities and compared to a more traditional approach to set phase variability threshold. The proposed procedure was able to detect the decrease in cardiorespiratory phase locking strength during vagal withdrawal induced by the modification of posture from supine to standing. IMT had very limited effects on cardiorespiratory phase synchronization strength and this result held regardless of the training intensity. In amateur athletes training, the inspiratory muscles did not limit the decrease in cardiorespiratory phase synchronization observed in the upright position as a likely consequence of the modest impact of this respiratory exercise, regardless of its intensity, on cardiac vagal control. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.
DOI: 10.6084/m9.figshare.14916543
title: Whitty et al.; Masaya volcano, Nicaragua

description: CSV files of AQMesh data from low-cost instrument network in the region around Masaya volcano, Nicaragua, for the period February to August 2017<br>CSV files of ECMWF forecasts at Masaya volcano, Nicaragua, for the period February to August 2017<br>
DOI: 10.6084/m9.figshare.14916543.v1
title: Whitty et al.; Masaya volcano, Nicaragua

description: CSV files of AQMesh data from low-cost instrument network in the region around Masaya volcano, Nicaragua, for the period February to August 2017<br>CSV files of ECMWF forecasts at Masaya volcano, Nicaragua, for the period February to August 2017<br>
DOI: 10.6084/m9.figshare.18758336
title: MatCol.csv

description: The CSV file that contains the parasitation data of both A. colemani and A. matricariae on M. persicae. This partial dataset is derived from 'Parasitism_RawData.xlsx'. Used in R script 'Parasitation MatCol comparison lme4_MMB'
DOI: 10.6073/pasta/692c92ef1c8291162732c2b98cebdaea
title: Water properties of Arco Lake, Budd Lake, Deming Lake, and Josephine Lake in Itasca State Park from 2006-2009 and 2019-2021.

description: Depth profiles of water column chemical and physical properties were assessed with seasonal-scale frequency from four lakes in the Itasca State Park from 2006-2009 and from 2019-2021. The data was used to assess mixing status and major geochemical constituents within the lakes. Several parameters were routinely measured with deployable probes at meter or sub-meter resolution at the deepest location in each lake. Water samples were also collected for laboratory analysis.
DOI: 10.5281/zenodo.5942232
title: Brazilian theses and dissertations on Building Information Modeling

description: Results of a survey of Brazilian dissertations and theses on the topic of Building Information Modeling from the period of 2012 to 2019. The spreadsheet (xls and csv) is organized with the following fields: TYPE: can be thesis or dissertation; AUTHOR: full name of the author in capital letters; TITLE: title of academic work; YEAR: year of defense; UNIVERSITY: Higher Education Institution; LINK: url to the IES repository or to the CAPES SUCUPIRA website where it is possible to obtain the complete work or its cataloging form: RELATED TO EDUCATION AND TEACHING?: YES, when the work is about teaching BIM and NO when it is about BIM unrelated to teaching; ABSTRACT: Abstract of academic work.
DOI: 10.5281/zenodo.5942231
title: Brazilian theses and dissertations on Building Information Modeling

description: Results of a survey of Brazilian dissertations and theses on the topic of Building Information Modeling from the period of 2012 to 2019. The spreadsheet (xls and csv) is organized with the following fields: TYPE: can be thesis or dissertation; AUTHOR: full name of the author in capital letters; TITLE: title of academic work; YEAR: year of defense; UNIVERSITY: Higher Education Institution; LINK: url to the IES repository or to the CAPES SUCUPIRA website where it is possible to obtain the complete work or its cataloging form: RELATED TO EDUCATION AND TEACHING?: YES, when the work is about teaching BIM and NO when it is about BIM unrelated to teaching; ABSTRACT: Abstract of academic work.
DOI: 10.13011/m3-me1a-6q83
title: In-situ Characterization of Deformation Twinning in Magnesium during Cyclic Loading via Electron Backscatter Diffraction
DOI: 10.5281/zenodo.5941128
title: Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop

description: Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants were during the event. From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Updates to the Hubs logger can be found in the repository.