cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17032091
title: Dataset1

description: Comparative analysis of the relative abundance (%) of microbial species among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.6084/m9.figshare.17032091.v1
title: Dataset1

description: Comparative analysis of the relative abundance (%) of microbial species among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.6084/m9.figshare.17032109
title: Dataset2

description: Comparative analysis of the number of microbial carbon decomposition-selected genes among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.6084/m9.figshare.17032109.v1
title: Dataset2

description: Comparative analysis of the number of microbial carbon decomposition-selected genes among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.5281/zenodo.5680225
title: Simulated complex structures of the h-FBP21 tandem WW domain with proline-rich ligand extracted from SmB/B' core-splicing protein

description: The tandem WW domain of the human formin-binding protein 21 (h-FBP21 tWW) consists of two WW domains separated by a flexible linker. It can bind target sequences in two different orientations and the flexibility of the linker additionally allows the two WW domains to adopt various relative orientations to each other. As consequence, the elucidation of possible complex structures for the h-FBP21 tWW is very challenging. Here, we present two complex structures for the h-FBP21 tWW and a proline-rich sequence from its natural binding partner, the core-splicing protein SmB/B’. Showing parallel (‘6’) and antiparallel (’14’) binding orientation, the two structures also differ in the relative positioning of the WW domains. For further instructions regarding the files, please refer to ‘README’.
DOI: 10.5281/zenodo.5680224
title: Simulated complex structures of the h-FBP21 tandem WW domain with proline-rich ligand extracted from SmB/B' core-splicing protein

description: The tandem WW domain of the human formin-binding protein 21 (h-FBP21 tWW) consists of two WW domains separated by a flexible linker. It can bind target sequences in two different orientations and the flexibility of the linker additionally allows the two WW domains to adopt various relative orientations to each other. As consequence, the elucidation of possible complex structures for the h-FBP21 tWW is very challenging. Here, we present two complex structures for the h-FBP21 tWW and a proline-rich sequence from its natural binding partner, the core-splicing protein SmB/B’. Showing parallel (‘6’) and antiparallel (’14’) binding orientation, the two structures also differ in the relative positioning of the WW domains. For further instructions regarding the files, please refer to ‘README’.
DOI: 10.25934/pr00005244.1
title: Available IPD datapackage for study 'A Double-blind, Randomised, Placebo Controlled Phase III Study of Nintedanib Plus Best Supportive Care (BSC) Versus Placebo Plus BSC in Patients With Metastatic Colorectal Cancer Refractory to Standard Therapies.'

description: The objective of this Phase III study is to evaluate the efficacy of nintedanib in patients with metastatic colorectal cancer (mCRC) after failure of previous treatment with standard chemotherapy and biological agents.
DOI: 10.5281/zenodo.5701310
title: Datasets and Simulator of the kinSoftChallenge & related article.

description: Data described in the article: <strong> Inferring kinetic rate constants from single-molecule FRET trajectories – a blind benchmark of kinetic analysis tools.</strong> - MATLAB simulator scripts & configuration files incl. parameters used in the kinSoftChallenge. - simulated challenge datasets used in the kinSoftChallenge. - experimental challenge datasets (Fig. 2) were kindly provided by Ben Schuler, University of Zurich, CH. - experimental challenge datasets (Fig. 5) were kindly provided by Michael Schlierf, TU Dresden, D.
DOI: 10.5281/zenodo.5701309
title: Datasets and Simulator of the kinSoftChallenge & related article.

description: Data described in the article: <strong> Inferring kinetic rate constants from single-molecule FRET trajectories – a blind benchmark of kinetic analysis tools.</strong> - MATLAB simulator scripts & configuration files incl. parameters used in the kinSoftChallenge. - simulated challenge datasets used in the kinSoftChallenge. - experimental challenge datasets (Fig. 2) were kindly provided by Ben Schuler, University of Zurich, CH. - experimental challenge datasets (Fig. 5) were kindly provided by Michael Schlierf, TU Dresden, D.
DOI: 10.6084/m9.figshare.17032127
title: Microbial traits determine soil C emission in response to fresh carbon inputs in forests across biomes

description: Comparative analysis of the relative abundance (% ) and number of microbial species and carbon decomposition-selected genes among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.6084/m9.figshare.17032127.v1
title: Dataset

description: Comparative analysis of the relative abundance (% ) and number of microbial species and carbon decomposition-selected genes among these latitude range of forest soils. Different letters indicate significant differences (ANOVA, P &lt; 0.05, Tukey’s HSD post-hoc analysis) among different forest soils.
DOI: 10.6084/m9.figshare.17032094
title: Multi-point observation of energetic electron precipitation

description: The data are uploaded for each panel, each axis, each line (if there are multiple lines in a single panel) as described in the title of each data file.
DOI: 10.6084/m9.figshare.17032094.v1
title: Multi-point observation of energetic electron precipitation

description: The data are uploaded for each panel, each axis, each line (if there are multiple lines in a single panel) as described in the title of each data file.
DOI: 10.6084/m9.figshare.17032049
title: Population characteristics, symptoms, and risk factors of idiopathic perniosis - Online repository data

description: This is a dataset containing the data extraction of the population characteristics, symptoms, and causes of idiopathic perniosis, in otherwise healthy adults who are exposed to cool/cold environments.We carefully collected data from randomized trials, intervention studies, cohort studies, case-control studies, epidemiologic assessments, other observational studies, surveys, and studies of screening and diagnostic tests that included at least one group of adult patients with an idiopathic perniosis final diagnosis. We considered articles written in English and published in peer-reviewed journals. We excluded patients with any kind of underlying diseases and patients under 17 years old with perniosis-like symptoms.
DOI: 10.6084/m9.figshare.17032049.v1
title: Population characteristics, symptoms, and risk factors of idiopathic perniosis - Online repository data

description: This is a dataset containing the data extraction of the population characteristics, symptoms, and causes of idiopathic perniosis, in otherwise healthy adults who are exposed to cool/cold environments.We carefully collected data from randomized trials, intervention studies, cohort studies, case-control studies, epidemiologic assessments, other observational studies, surveys, and studies of screening and diagnostic tests that included at least one group of adult patients with an idiopathic perniosis final diagnosis. We considered articles written in English and published in peer-reviewed journals. We excluded patients with any kind of underlying diseases and patients under 17 years old with perniosis-like symptoms.
DOI: 10.6084/m9.figshare.14332689.v1
title: An Ecological Momentary Intervention for people with social anxiety: A descriptive case study

description: This study describes the development and pilot evaluation of a smartphone- delivered Ecological Momentary Intervention (EMI) for people with social anxiety symptoms. Using a software engineering framework (agile modeling, model-driven development, bottom-up development), mental health experts and software developers collaborated to develop a 4-module EMI app designed to reduce social anxiety in real-time. Fifty-five participants with social anxiety were randomly allocated to the EMI or a wait-list control arm. App downloads, usage and user satisfaction data were collected and mental health outcomes assessed at baseline and post-intervention. Software development practices allowed mental health experts to distil core elements of a psychological intervention into discrete software components but there were challenges in engaging mental health experts in the process. Relative to control there was no significant reduction in social anxiety among the EMI participants in the pilot trial. However, post-test data were available for only 4 intervention and 10 control participants and only 2 (4.0%) of the EMI participants downloaded the app. The two participants who both accessed the app and completed the post-test reported being satisfied with the intervention. Future research should address managing resources and providing additional training to support ongoing engagement with key stakeholders.
DOI: 10.6084/m9.figshare.14455857
title: Use of social media data for disease based social network analysis and network modeling: A Systematic Review

description: Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions.
DOI: 10.6084/m9.figshare.14455857.v1
title: Use of social media data for disease based social network analysis and network modeling: A Systematic Review

description: Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions.
DOI: 10.6084/m9.figshare.14332689
title: An Ecological Momentary Intervention for people with social anxiety: A descriptive case study

description: This study describes the development and pilot evaluation of a smartphone- delivered Ecological Momentary Intervention (EMI) for people with social anxiety symptoms. Using a software engineering framework (agile modeling, model-driven development, bottom-up development), mental health experts and software developers collaborated to develop a 4-module EMI app designed to reduce social anxiety in real-time. Fifty-five participants with social anxiety were randomly allocated to the EMI or a wait-list control arm. App downloads, usage and user satisfaction data were collected and mental health outcomes assessed at baseline and post-intervention. Software development practices allowed mental health experts to distil core elements of a psychological intervention into discrete software components but there were challenges in engaging mental health experts in the process. Relative to control there was no significant reduction in social anxiety among the EMI participants in the pilot trial. However, post-test data were available for only 4 intervention and 10 control participants and only 2 (4.0%) of the EMI participants downloaded the app. The two participants who both accessed the app and completed the post-test reported being satisfied with the intervention. Future research should address managing resources and providing additional training to support ongoing engagement with key stakeholders.
DOI: 10.25403/upresearchdata.16918591
title: A comparison of caregiver-administered developmental screening tools for early childhood development in South Africa

description: The data includes assessment tools and results, as well as the results excel spreadsheets of our research.
DOI: 10.25403/upresearchdata.16918591.v1
title: A comparison of caregiver-administered developmental screening tools for early childhood development in South Africa

description: The data includes assessment tools and results, as well as the results excel spreadsheets of our research.
DOI: 10.15161/oar.it/74261
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.25403/upresearchdata.16918588
title: Comparison of care-giver administered developmental screening tools for early childhood development in South Africa

description: The data set includes assessment tools and results as well as excel spreadsheets used for statistical analysis.
DOI: 10.25403/upresearchdata.16918588.v1
title: Comparison of care-giver administered developmental screening tools for early childhood development in South Africa

description: The data set includes assessment tools and results as well as excel spreadsheets used for statistical analysis.
DOI: 10.25403/upresearchdata.16910977
title: The classical test theory versus the item response theory specifically the Rasch model and their application to test development

description: Datasets for a quatitative study. Provided is the excel spread sheet used to calculate findings on research application classical test theory, item response theory and Rasch model.<br>
DOI: 10.25403/upresearchdata.16915525
title: Methods of mediation and moderation: using path analysis

description: Datasets for a quantitative research consisting of the following: -Values measuring stress, rumination, anxiety and depression levels. -SAS code for application process.<br>
DOI: 10.25403/upresearchdata.16895812
title: Two-way error component regression models: random effects

description: Datasets for a qualitative study conducted on component regression models. The resources wich were used for the application sections of a research essay are included.
DOI: 10.25403/upresearchdata.16895812.v1
title: Two-way error component regression models: random effects

description: Datasets for a qualitative study conducted on component regression models. The resources wich were used for the application sections of a research essay are included.
DOI: 10.25403/upresearchdata.16883317
title: Time series decomposition

description: The research conducted using this univariate data set is on time series decomposition and a review of how to implement four decomposition methods namely: Classical decomposition, X11, Signal extraction in ARIMA time series(SEATS) and Seasonal trend decomposition procedure based on Loess(STL) decomposition. Following decomposition, forecasting with decomposition is implemented on the monthly electricity available for distribution to South Africa by Eskom time series data set. R Studio was used for the research. explain the components of a time series, moving averages, . <br>Other data sets as well as those that are R built-in were used in the second section of the work, that is, to illustrate the components of a time series and moving averages. Following this the monthly electricity available for distribution to South Africa by Eskom time series data set was used for the third and fourth section of the research. That is, to implement the time series decomposition methods, analyze the random component of the methods, as well as to forecast with decomposition and to compute the forecast accuracy of four different forecasting methods.
DOI: 10.25403/upresearchdata.16883317.v1
title: Time series decomposition

description: The research conducted using this univariate data set is on time series decomposition and a review of how to implement four decomposition methods namely: Classical decomposition, X11, Signal extraction in ARIMA time series(SEATS) and Seasonal trend decomposition procedure based on Loess(STL) decomposition. Following decomposition, forecasting with decomposition is implemented on the monthly electricity available for distribution to South Africa by Eskom time series data set. R Studio was used for the research. explain the components of a time series, moving averages, . <br>Other data sets as well as those that are R built-in were used in the second section of the work, that is, to illustrate the components of a time series and moving averages. Following this the monthly electricity available for distribution to South Africa by Eskom time series data set was used for the third and fourth section of the research. That is, to implement the time series decomposition methods, analyze the random component of the methods, as well as to forecast with decomposition and to compute the forecast accuracy of four different forecasting methods.
DOI: 10.34892/peq6-9354
title: Land-Use Financing - Positive Impact Indicators Directory (Version 1.1)

description: The Land-use Financing – Positive Impact Indicators directory from Sustainable Land-use Financing has been designed to help harmonise monitoring and reporting across a range of positive environmental and social (E&S) impact areas: biodiversity conservation, climate adaptation, and mitigation, forest protection, and sustainable livelihoods.

The directory aims to support decision-makers within financial institutions to identify how their investments may generate positive environmental and social (E&S) benefits, which Key Performance Indicators (KPIs) are most appropriate to demonstrate this impact and, implement credible methodologies for monitoring them. It was developed in consultation with UNEP's Environmental & Social Knowledge Exchange Network (ESKEN) consisting of investment funds, banks, donors, and non-governmental organisations.

This directory will be supported by additional guidance relating to the decisions the tool can be used to support, as well as case studies which will be released with subsequent versions of the directory.
DOI: 10.25403/upresearchdata.12152946.v1
title: Digital data for “Effect of sex, age and morphological traits on tethered flight of Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) at different temperatures”

description: Data on the tethered flight of oriental fruit flies, <i>Bactrocera dorsalis</i>, in relation to age, sex and body mass at different temperatures.
DOI: 10.26188/17032163.v1
title: Common SNVS hg38

description: Common SNVs used by scSplit
DOI: 10.26188/17032163
title: Common SNVS hg38

description: Common SNVs used by scSplit
DOI: 10.6084/m9.figshare.14388072
title: Comparison of the ability of the King’s and MiToS staging systems to predict disease progression and survival in amyotrophic lateral sclerosis

description: <i>Background:</i> Assessing clinical progression in amyotrophic lateral sclerosis (ALS) remains a challenge. We evaluated the validity and predictive capabilities of the King’s and Milano-Torino Staging (MiToS) systems in a cohort of patients with ALS to demonstrate their benefit in clinical practice. <i>Methodology:</i> A cohort study was performed by including ALS incident cases in a referral center from 2007 to 2016. The staging systems were determined at time of diagnosis and follow-up. The standardized median times to reach each stage were computed. A multi-state model in the framework of the Cox model evaluated the predictive value of measurements. The survival C-statistic was reported as a measure of prediction ability. <i>Results:</i> Overall, 298 incident cases were included. The King’s and MiToS systems described a progressive increase in the risk of dying with each elapsed stage. However, a lower resolution for late disease description for the King’s system was observed, and late stages overlapped for the MiToS system. Slight variations in the staging systems appeared to improve performance based on validity and prediction abilities: (i) in the King’s (<i>C</i>-statistic = 0.783), by adding a new stage involving the need for both gastrostomy and NIV: (ii) in the MiToS (<i>C</i>-statistic = 0.792), by merging stage 3 and stage 4 into a single stage 3. <i>Conclusion:</i> Both King’s and MiToS are valid systems but have certain limitations. Variations in the staging systems may provide a more suitable framework for describing progression and survival. Further research is needed to evaluate the variations in the staging systems.