cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22207434
title: Improved Approximation and Visualization of the Correlation Matrix

description: The graphical representation of the correlation matrix by means of different multivariate statistical methods is reviewed, a comparison of the different procedures is presented with the use of an example dataset, and an improved representation with better fit is proposed. Principal component analysis is widely used for making pictures of correlation structure, though as shown a weighted alternating least squares approach that avoids the fitting of the diagonal of the correlation matrix outperforms both principal component analysis and principal factor analysis in approximating a correlation matrix. Weighted alternating least squares is a very strong competitor for principal component analysis, in particular if the correlation matrix is the focus of the study, because it improves the representation of the correlation matrix, often at the expense of only a minor percentage of explained variance for the original data matrix, if the latter is mapped onto the correlation biplot by regression. In this article, we propose to combine weighted alternating least squares with an additive adjustment of the correlation matrix, and this is seen to lead to further improved approximation of the correlation matrix.
DOI: 10.6084/m9.figshare.22207434.v2
title: Improved Approximation and Visualization of the Correlation Matrix

description: The graphical representation of the correlation matrix by means of different multivariate statistical methods is reviewed, a comparison of the different procedures is presented with the use of an example dataset, and an improved representation with better fit is proposed. Principal component analysis is widely used for making pictures of correlation structure, though as shown a weighted alternating least squares approach that avoids the fitting of the diagonal of the correlation matrix outperforms both principal component analysis and principal factor analysis in approximating a correlation matrix. Weighted alternating least squares is a very strong competitor for principal component analysis, in particular if the correlation matrix is the focus of the study, because it improves the representation of the correlation matrix, often at the expense of only a minor percentage of explained variance for the original data matrix, if the latter is mapped onto the correlation biplot by regression. In this article, we propose to combine weighted alternating least squares with an additive adjustment of the correlation matrix, and this is seen to lead to further improved approximation of the correlation matrix.
DOI: 10.6084/m9.figshare.22207434.v1
title: Improved approximation and visualization of the correlation matrix

description: The graphical representation of the correlation matrix by means of different multivariate statistical methods is reviewed, a comparison of the different procedures is presented with the use of an example data set, and an improved representation with better fit is proposed. Principal component analysis is widely used for making pictures of correlation structure, though as shown a weighted alternating least squares approach that avoids the fitting of the diagonal of the correlation matrix outperforms both principal component analysis and principal factor analysis in approximating a correlation matrix. Weighted alternating least squares is a very strong competitor for principal component analysis, in particular if the correlation matrix is the focus of the study, because it improves the representation of the correlation matrix, often at the expense of only a minor percentage of explained variance for the original data matrix, if the latter is mapped onto the correlation biplot by regression. In this article, we propose to combine weighted alternating least squares with an additive adjustment of the correlation matrix, and this is seen to lead to further improved approximation of the correlation matrix.
DOI: 10.6084/m9.figshare.22340760
title: Knots and their effect on the tensile strength of lumber: A case study

description: When assessing the strength of sawn lumber for use in engineering applications, the sizes and locations of knots are an important consideration. Knots are the most common visual characteristics of lumber, that result from the growth of tree branches. Large individual knots, as well as clusters of distinct knots, are known to have strength-reducing effects. However, industry grading rules that govern knots are informed by subjective judgment to some extent, particularly the spatial interaction of knots and their relationship with lumber strength. This case study reports the results of an experiment that investigated and modeled the strength-reducing effects of knots on a sample of Douglas Fir lumber. Experimental data were obtained by taking scans of lumber surfaces and applying tensile strength testing. The modeling approach presented incorporates all relevant knot information in a Bayesian framework, thereby contributing a more refined way of managing the quality of manufactured lumber.
DOI: 10.5281/zenodo.10057785
title: Phasor Dataset generated at NEST (Scuola Normale Superiore)

description: The folder contains sub-folders used in the work "Phasor Identifier: A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks" by M.Bernardi and F.Cardarelli. The data served for specific examples on Phasor-FLIM customary analysis within the framework of the Python Notebook ran in Google Colab, extensively documented and available at: https://github.com/Mariochem92/PhasorIdentifier
 
 
Irinotecan and its metabolite SN-38 in solution at different pH
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
Can be used to test any functionality in the analysis of evolutions within the phasor plot. Specially designed for pH analysis within the pH range of 2 to 12.Reference: Bernardi et al., A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks, 2023
 
Encapsulated irinotecan in commercial liposomal nanoformulation Onivyde 
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
Can be used to test any functionality in the analysis of the supramolecular organization. 
Reference: Bernardi et al., Fluorescence Lifetime Nanoscopy of Liposomal Irinotecan Onivyde: From Manufacturing to Intracellular Processing, ACS Appl. Bio Mater., 2023
 
INS1-E cells upon cytokine treatment
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
INS1E control and INS1E cytokines, can be used to test any functionality in the analysis of the supramolecular organization. Reference: Pugliese et al, Unveiling nanoscale optical signatures of cytokine-induced β-cell dysfunction, Sci Rep, 2023
 
Encapsulated doxorubicin 
File format: .ref
FLIM Acquisition: TD-FLIM 
Laser repetition frequency: 40 MHz
Instrumentation: Leica TCS SP5 confocal microscope
Can be used to test any functionality in the analysis of the supramolecular organization and signal evolution. Specially designed for storage analysis at temperature 4°C, 25°C and 37°C.Reference: Carretta et al, Monitoring drug stability by label-free fluorescence lifetime imaging: a case study on liposomal doxorubicin. ,J. Phys. : Conf Ser, 2023
DOI: 10.6084/m9.figshare.21968469
title: Design and properties of the predictive ratio cusum (PRC) control charts

description: In statistical process control/monitoring (SPC/M), memory-based control charts aim to detect small/medium persistent parameter shifts. When a phase I calibration is not feasible, self-starting methods have been proposed, with the predictive ratio cusum (PRC) being one of them. To apply such methods in practice, one needs to derive the decision limit threshold that will guarantee a preset false alarm tolerance, a very difficult task when the process parameters are unknown and their estimate is sequentially updated. Utilizing the Bayesian framework in PRC, we will provide the theoretic framework that will allow to derive a decision-making threshold, based on false alarm tolerance, which along with the PRC closed-form monitoring scheme will permit its straightforward application in real-life practice. An enhancement of PRC is proposed, and a simulation study evaluates its robustness against competitors for various model type misspecifications. Finally, three real data sets (normal, Poisson, and binomial) illustrate its implementation in practice. Technical details, algorithms, and R-codes reproducing the illustrations are provided as supplementary material.
DOI: 10.6084/m9.figshare.21968469.v2
title: Design and properties of the predictive ratio cusum (PRC) control charts

description: In statistical process control/monitoring (SPC/M), memory-based control charts aim to detect small/medium persistent parameter shifts. When a phase I calibration is not feasible, self-starting methods have been proposed, with the predictive ratio cusum (PRC) being one of them. To apply such methods in practice, one needs to derive the decision limit threshold that will guarantee a preset false alarm tolerance, a very difficult task when the process parameters are unknown and their estimate is sequentially updated. Utilizing the Bayesian framework in PRC, we will provide the theoretic framework that will allow to derive a decision-making threshold, based on false alarm tolerance, which along with the PRC closed-form monitoring scheme will permit its straightforward application in real-life practice. An enhancement of PRC is proposed, and a simulation study evaluates its robustness against competitors for various model type misspecifications. Finally, three real data sets (normal, Poisson, and binomial) illustrate its implementation in practice. Technical details, algorithms, and R-codes reproducing the illustrations are provided as supplementary material.
DOI: 10.6084/m9.figshare.22340760.v1
title: Knots and their effect on the tensile strength of lumber: A case study

description: When assessing the strength of sawn lumber for use in engineering applications, the sizes and locations of knots are an important consideration. Knots are the most common visual characteristics of lumber, that result from the growth of tree branches. Large individual knots, as well as clusters of distinct knots, are known to have strength-reducing effects. However, industry grading rules that govern knots are informed by subjective judgment to some extent, particularly the spatial interaction of knots and their relationship with lumber strength. This case study reports the results of an experiment that investigated and modeled the strength-reducing effects of knots on a sample of Douglas Fir lumber. Experimental data were obtained by taking scans of lumber surfaces and applying tensile strength testing. The modeling approach presented incorporates all relevant knot information in a Bayesian framework, thereby contributing a more refined way of managing the quality of manufactured lumber.
DOI: 10.6084/m9.figshare.22743365
title: Blocking OMARS designs and definitive screening designs

description: The family of orthogonal minimally aliased response surface or OMARS designs comprises traditional response surface designs, such as central composite designs and Box-Behnken designs, as well as definitive screening designs. Key features of OMARS designs are the facts that they are orthogonal for the main effects and that the main effects are not at all aliased with any two-factor interaction effect or with any quadratic effect. In this article, we present a method to arrange the runs of an OMARS design in blocks of equal size, so that the main effects can be estimated independently from the blocks, and the interaction effects and the quadratic effects are confounded as little as possible with the blocks. We show that our new method for blocking OMARS designs offers much flexibility when it comes to choosing the number of runs, the number of blocks and the block sizes, and that it often outperforms the blocking arrangements of definitive screening designs available in the literature and in commercial software.
DOI: 10.6084/m9.figshare.22743365.v1
title: Blocking OMARS designs and definitive screening designs

description: The family of orthogonal minimally aliased response surface or OMARS designs comprises traditional response surface designs, such as central composite designs and Box-Behnken designs, as well as definitive screening designs. Key features of OMARS designs are the facts that they are orthogonal for the main effects and that the main effects are not at all aliased with any two-factor interaction effect or with any quadratic effect. In this article, we present a method to arrange the runs of an OMARS design in blocks of equal size, so that the main effects can be estimated independently from the blocks, and the interaction effects and the quadratic effects are confounded as little as possible with the blocks. We show that our new method for blocking OMARS designs offers much flexibility when it comes to choosing the number of runs, the number of blocks and the block sizes, and that it often outperforms the blocking arrangements of definitive screening designs available in the literature and in commercial software.
DOI: 10.6084/m9.figshare.21968469.v1
title: Design and properties of the predictive ratio cusum (PRC) control charts

description: In statistical process control/monitoring (SPC/M), memory-based control charts aim to detect small/medium persistent parameter shifts. When a phase I calibration is not feasible, self-starting methods have been proposed, with the predictive ratio cusum (PRC) being one of them. To apply such methods in practice, one needs to derive the decision limit threshold that will guarantee a preset false alarm tolerance, a very difficult task when the process parameters are unknown and their estimate is sequentially updated. Utilizing the Bayesian framework in PRC, we will provide the theoretic framework that will allow to derive a decision-making threshold, based on false alarm tolerance, which along with the PRC closed-form monitoring scheme will permit its straightforward application in real-life practice. An enhancement of PRC is proposed, and a simulation study evaluates its robustness against competitors for various model type misspecifications. Finally, three real data sets (normal, Poisson, and binomial) illustrate its implementation in practice. Technical details, algorithms, and R-codes reproducing the illustrations are provided as supplementary material.
DOI: 10.5281/zenodo.10057786
title: Phasor Dataset generated at NEST (Scuola Normale Superiore)

description: The folder contains sub-folders used in the work "Phasor Identifier: A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks" by M.Bernardi and F.Cardarelli. The data served for specific examples on Phasor-FLIM customary analysis within the framework of the Python Notebook ran in Google Colab, extensively documented and available at: https://github.com/Mariochem92/PhasorIdentifier
 
 
Irinotecan and its metabolite SN-38 in solution at different pH
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
Can be used to test any functionality in the analysis of evolutions within the phasor plot. Specially designed for pH analysis within the pH range of 2 to 12.Reference: Bernardi et al., A Cloud-based Analysis of Phasor-FLIM Data on Python Notebooks, 2023
 
Encapsulated irinotecan in commercial liposomal nanoformulation Onivyde 
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
Can be used to test any functionality in the analysis of the supramolecular organization. 
Reference: Bernardi et al., Fluorescence Lifetime Nanoscopy of Liposomal Irinotecan Onivyde: From Manufacturing to Intracellular Processing, ACS Appl. Bio Mater., 2023
 
INS1-E cells upon cytokine treatment
File format: .R64
FLIM Acquisition: DFD-FLIM 
Laser repetition frequency: 80 MHz
Instrumentation: Olympus FVMPE-RS with FLIM box system (ISS, Urbana Champaign)
INS1E control and INS1E cytokines, can be used to test any functionality in the analysis of the supramolecular organization. Reference: Pugliese et al, Unveiling nanoscale optical signatures of cytokine-induced β-cell dysfunction, Sci Rep, 2023
 
Encapsulated doxorubicin 
File format: .ref
FLIM Acquisition: TD-FLIM 
Laser repetition frequency: 40 MHz
Instrumentation: Leica TCS SP5 confocal microscope
Can be used to test any functionality in the analysis of the supramolecular organization and signal evolution. Specially designed for storage analysis at temperature 4°C, 25°C and 37°C.Reference: Carretta et al, Monitoring drug stability by label-free fluorescence lifetime imaging: a case study on liposomal doxorubicin. ,J. Phys. : Conf Ser, 2023
DOI: 10.6084/m9.figshare.24467647
title: GLITCH: Docker Replication Package

description: Replication package with code and datasets to evaluate thesis on extending GLITCH with DockerInstructions can be found here: https://github.com/miguelchenriques/glitch-docker-replication-package
DOI: 10.6084/m9.figshare.24467647.v1
title: GLITCH: Docker Replication Package

description: Replication package with code and datasets to evaluate thesis on extending GLITCH with DockerInstructions can be found here: https://github.com/miguelchenriques/glitch-docker-replication-package
DOI: 10.5281/zenodo.6884064
title: Supplementary materials for "Putting the F in FBD analyses: tree constraints or morphological data ?"

description: This dataset contains the R code, simulated datasets and configuration files used to run the analyses presented in the manuscript "Putting the F in FBD analyses: tree constraints or morphological data ?".
DOI: 10.5281/zenodo.10058556
title: Supplementary materials for "Putting the F into FBD analysis: tree constraints or morphological data ?"

description: This dataset contains the R code, simulated datasets and configuration files used to run the analyses presented in the manuscript "Putting the F into FBD analysis: tree constraints or morphological data ?".
DOI: 10.5281/zenodo.6884063
title: Supplementary materials for "Putting the F into FBD analysis: tree constraints or morphological data ?"

description: This dataset contains the R code, simulated datasets and configuration files used to run the analyses presented in the manuscript "Putting the F into FBD analysis: tree constraints or morphological data ?".
DOI: 10.5281/zenodo.7875919
title: Supplementary materials for "Putting the F into FBD analysis: tree constraints or morphological data ?"

description: This dataset contains the R code, simulated datasets and configuration files used to run the analyses presented in the manuscript "Putting the F into FBD analysis: tree constraints or morphological data ?".
DOI: 10.14284/636
title: ANDROMEDA predictive tools for estimating microplastic analysis costs

description: Predictive tools for estimating microplastic analysis costs were created based on a cost effectiveness analysis performed of microplastics analytics. To do so, data obtained from an online survey sent to experts in the field was used.
description: The availability of many microplastic analysis methods is challenging for researchers and policy makers when tasked with choosing an optimal method for their research question and a given budget. To help tackle this problem, we created predictive tools that allow to identify the most cost-effective methods for specific microplastic analysis scenarios involving seawater samples. Moreover, the tools allow to calculate the total analysis cost of each method. The tools were created by performing a cost-effectiveness analysis of microplastic analytics using survey data acquired from experts in the field. To do so, first, six analysis method categories were created based on the obtained data. Next, total analysis cost for each of the six method categories was simulated, taking into account all labour and equipment costs. Three different tools were created based on the gross national income per capita (GNI p.c.) of the countries of employment of the respondents.
DOI: 10.4121/afc4a95d-5a7b-4f14-8d57-0b020885013d
title: Interviews underlying the MSc thesis: Asymmetrical partnerships in conceptual housing: How start-ups manage to become competitive in the conceptual housing industry

description: This file is a report describing the interviews I , the researcher, had with the interviewees about how they managed their firm and their asymmetrical partnerships. Interviews were done in a semi-structured manner through video calls. Signed informed consent forms were gathered from all interviewees, but are not shared in this database as this personal data remains confidential. The interview reports are pseudonymized, but as the potential pool of interviewees is quite small, the data is stored under restricted access only available for further research without intentions for commercial use. The reasoning for this is that the interviews are about innovation, which can be seen as confidential for the involved businesses.
DOI: 10.4121/afc4a95d-5a7b-4f14-8d57-0b020885013d.v1
title: Interviews underlying the MSc thesis: Asymmetrical partnerships in conceptual housing: How start-ups manage to become competitive in the conceptual housing industry

description: This file is a report describing the interviews I , the researcher, had with the interviewees about how they managed their firm and their asymmetrical partnerships. Interviews were done in a semi-structured manner through video calls. Signed informed consent forms were gathered from all interviewees, but are not shared in this database as this personal data remains confidential. The interview reports are pseudonymized, but as the potential pool of interviewees is quite small, the data is stored under restricted access only available for further research without intentions for commercial use. The reasoning for this is that the interviews are about innovation, which can be seen as confidential for the involved businesses.
DOI: 10.20375/0000-0011-0e04-a
title: DIF_KIIS_0723-clarification-q5-24.pdf
DOI: 10.20375/0000-0011-0e05-9
title: DIF_KIIS_0723-questionnaire.pdf
DOI: 10.20375/0000-0011-0e06-8
title: DIF_KIIS_0723.sav
DOI: 10.20375/0000-0011-0e07-7
title: DIF_KIIS_0723-selected results(UKR).pdf
DOI: 10.20375/0000-0011-0e08-6
title: DIF_KIIS_0723.xlsx
DOI: 10.25403/upresearchdata.20043443
title: Ladybrand small-scale farmers and land care workers’ perceptions of land degradation

description: This dataset presents the findings of the study that was carried out in Ladybrand. Focus groups with semi-structured interview guide were used to explore small-scale farmers and land care workers’ perceptions of land degradation and how it influences their livelihoods.
DOI: 10.25403/upresearchdata.20043443.v1
title: Ladybrand small-scale farmers and land care workers’ perceptions of land degradation

description: This dataset presents the findings of the study that was carried out in Ladybrand. Focus groups with semi-structured interview guide were used to explore small-scale farmers and land care workers’ perceptions of land degradation and how it influences their livelihoods.
DOI: 10.6084/m9.figshare.24467860
title: Frontiers20230423-mNGS DATE.zip

description: This data contains the mNGS results of five patients，the date of patient5 had lost during the company's data migration
DOI: 10.6084/m9.figshare.24467860.v1
title: Frontiers20230423-mNGS DATE.zip

description: This data contains the mNGS results of five patients，the date of patient5 had lost during the company's data migration