cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22761323
title: <strong>Economic effects of the war in Ukraine and recession</strong>

description: The economic effects of wars and recessions can have significant impacts on consumer attitudes and behaviors. Understanding how these attitudes and behaviors change impacts during challenging economic times is crucial for financial education and management. A survey was conducted to investigate the financial attitudes and behaviors of individuals during a recessionary period. The survey included questions about age, financial education level, savings behavior, attitudes towards debt, gender and financial management behavior, age and financial education, and income and savings behavior. Data were analyzed using t-tests and ANOVA. Participants with higher income level had higher levels of savings and investing behaviors than those with lower income levels. Participant with a higher level of formal education in finance had higher levels of budgeting and investing behaviors than those with a lower level of formal education in finance. Additionally, participants who reported higher levels of self-rated financial knowledge had higher levels of all financial management behaviors (budgeting, saving, investing, and debt management) compared to those with lower self-rated financial knowledge. The findings suggest that financial education and management programs should target individuals with lower income levels and less formal education in finance. Additionallt, promoting self-rated financial knowledge may be a useful strategy for improving financial management behaviors. Future research could explore the effectiveness of different financial education and management programs on improving financial attitudes and bevaiors during recessionary periods.
DOI: 10.6084/m9.figshare.22761323.v1
title: <strong>Economic effects of the war in Ukraine and recession</strong>

description: The economic effects of wars and recessions can have significant impacts on consumer attitudes and behaviors. Understanding how these attitudes and behaviors change impacts during challenging economic times is crucial for financial education and management. A survey was conducted to investigate the financial attitudes and behaviors of individuals during a recessionary period. The survey included questions about age, financial education level, savings behavior, attitudes towards debt, gender and financial management behavior, age and financial education, and income and savings behavior. Data were analyzed using t-tests and ANOVA. Participants with higher income level had higher levels of savings and investing behaviors than those with lower income levels. Participant with a higher level of formal education in finance had higher levels of budgeting and investing behaviors than those with a lower level of formal education in finance. Additionally, participants who reported higher levels of self-rated financial knowledge had higher levels of all financial management behaviors (budgeting, saving, investing, and debt management) compared to those with lower self-rated financial knowledge. The findings suggest that financial education and management programs should target individuals with lower income levels and less formal education in finance. Additionallt, promoting self-rated financial knowledge may be a useful strategy for improving financial management behaviors. Future research could explore the effectiveness of different financial education and management programs on improving financial attitudes and bevaiors during recessionary periods.
DOI: 10.7281/t1/v3z6dd/iolnxx
title: Plunkett_APL_2019manuscript_datasets.zip

description: CSV data tables and PNG images supporting publication, including figures & supplemental materials.
DOI: 10.5281/zenodo.7871765
title: AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments - Supplementary Data

description: <strong>Introduction</strong> In this zip, we release the auxiliary data that is beneficial to execute the implementation of AVLEN described in our paper AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments by Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian, NeurIPS, 2022. <strong>At a Glance</strong> The size of the unzipped data is 4.6G The unzipped folder contains: (i) a README.md file and (ii) ./AVLEN-data folder. The latter contains the following zip files. Please see the AVLEN code to see how to unzip these files into their respective folders. ckpt.119.pth -- 61M connectivity.zip -- 1.4M pretrained_weights.zip -- 1.7G ResNet-152-imagenet.zip -- 2.9G semantic_audionav_dialog_approx.zip -- 2.7M soundspaces.zip -- 479K speaker_model_weights.zip -- 51M <strong>Other Resources</strong> For the implementation of AVLEN that uses the data shared here, please visit MERL TR2022-131. <strong>Citation</strong> If you use AVLEN in your research, please cite our paper: <pre><code>@InProceedings{paul2022avlen, title={AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments}, booktitle={Advances in Neural Information Processing Systems}, author={Paul, Sudipta and Roy-Chowdhury, Amit and Cherian, Anoop}, volume={35}, pages={6236--6249}, year={2022} }</code></pre> <strong>Copyright and License</strong> The AVLEN dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>
DOI: 10.5281/zenodo.7871764
title: AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments - Supplementary Data

description: <strong>Introduction</strong> In this zip, we release the auxiliary data that is beneficial to execute the implementation of AVLEN described in our paper AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments by Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian, NeurIPS, 2022. <strong>At a Glance</strong> The size of the unzipped data is 4.6G The unzipped folder contains: (i) a README.md file and (ii) ./AVLEN-data folder. The latter contains the following zip files. Please see the AVLEN code to see how to unzip these files into their respective folders. ckpt.119.pth -- 61M connectivity.zip -- 1.4M pretrained_weights.zip -- 1.7G ResNet-152-imagenet.zip -- 2.9G semantic_audionav_dialog_approx.zip -- 2.7M soundspaces.zip -- 479K speaker_model_weights.zip -- 51M <strong>Other Resources</strong> For the implementation of AVLEN that uses the data shared here, please visit MERL TR2022-131. <strong>Citation</strong> If you use AVLEN in your research, please cite our paper: <pre><code>@InProceedings{paul2022avlen, title={AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments}, booktitle={Advances in Neural Information Processing Systems}, author={Paul, Sudipta and Roy-Chowdhury, Amit and Cherian, Anoop}, volume={35}, pages={6236--6249}, year={2022} }</code></pre> <strong>Copyright and License</strong> The AVLEN dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>
DOI: 10.3886/e183612v1-138140
title: Capital requirements and pressure on the technical efficiency of banks in the West African Economic and Monetary Union

description: This paper analyzes the role of capital requirements in the evolution of the level of technical efficiency and behavior of banks in the West African Economic and Monetary Union. We use a panel data set of 141 banks from 2000 to 2018. Using the stochastic frontier method, a fixed-effects regression model, and simultaneous equation estimators (2sls and 3sls), we show that capital requirements promote the technical efficiency of banks in the West African Economic and Monetary Union. The results highlight the beneficial role of regulatory pressure on the risk-taking and efficiency of banks. We conclude that the regulatory stress linked to capital requirements contributes to improving the level of efficiency of banks by discouraging and reducing risk-taking.<br><br><br><br><br>
DOI: 10.5281/zenodo.7899804
title: CARLA dataset for monocular depth estimation with varying camera parameters

description: Dataset contains images and corresponding ground truth depths in CARLA simulator. Dataset has been collected within urban, rural, and highway environments across 8 different maps <em>Town01 - Town07</em> and <em>Town10HD. </em>Each image is created with different camera parameters (camera pitch, camera height and focal length) sampled from uniform distribution.
DOI: 10.25934/pr00005651.4
title: Available IPD datapackage for study 'A Randomized Three-Arm, Multicenter Comparison of 1 Year and 2 Years of Herceptin Versus No Herceptin in Women With HER2-Positive Primary Breast Cancer Who Have Completed Adjuvant Chemotherapy'

description: The purpose of this trial is to evaluate Herceptin treatment for 1 year and 2 years (versus observation/no Herceptin) in women with HER2-overexpressing primary breast cancer who have completed (neo-)adjuvant systemic chemotherapy, definitive surgery, and radiotherapy, if applicable. Efficacy and safety will be assessed for 10 years from randomization for each participant. All participants will continue to be followed for survival until 10 years after enrollment of the last participant.
DOI: 10.5281/zenodo.7899803
title: CARLA dataset for monocular depth estimation with varying camera parameters

description: Dataset contains images and corresponding ground truth depths in CARLA simulator. Dataset has been collected within urban, rural, and highway environments across 8 different maps <em>Town01 - Town07</em> and <em>Town10HD. </em>Each image is created with different camera parameters (camera pitch, camera height and focal length) sampled from uniform distribution.
DOI: 10.25934/pr00008767
title: Forecasting recruitments in multicenter clinical trials via the time-dependent Poisson-Gamma model

description: One of the key challenges in the planning and monitoring phases of multicenter clinical trials is the assessment of the recruitment time as this informs the feasibility of the proposed study. Yet, although an inaccurate estimation of this time may result in a substantial loss of resources, most of the traditional techniques used in recruitment planning are either deterministic or rely on assumptions that are often unrealistic, such as constant recruitment intensity over time [1]. Building on an existing recruitment forecasting model, the Poisson-Gamma model [2], we developed a flexible generalization of this methodology called the time-dependent Poisson-Gamma model (tPG), which is suited to estimate a wide range of recruitment behaviors over time [3]. We have already validated this model using recruitment data from a cohort study, showing a significant improvement over the standard Poisson-Gamma model.

A realistic estimate of the time needed to achieve the target sample size is an important piece of information that can drive significant financial and practical decisions in multicenter studies, such as the opening or closure of recruitment centers and the allocation of resources. The main goal of this project is to show the applicability of the time-dependent Poisson-Gamma model for forecasting enrollments in multicenter clinical trials, as well as its advantages over the commonly used methodology based on constant rates over time. In turn, this study will help with the monitoring phase of future clinical trials, as the resulting paper will also outline the functionalities of the R package we built to implement this methodology and how to use them in practice.
DOI: 10.25934/pr00006469.4
title: Available IPD datapackage for study 'A Randomized Multicenter, Double-Blind, Placebo-Controlled Comparison of Chemotherapy Plus Trastuzumab Plus Placebo Versus Chemotherapy Plus Trastuzumab Plus Pertuzumab as Adjuvant Therapy in Patients With Operable HER2-Positive Primary Breast Cancer'

description: This randomized, double-blind, placebo-controlled, two-arm study will assess the safety and efficacy of pertuzumab in addition to chemotherapy plus trastuzumab as adjuvant therapy in participants with operable HER2-positive primary breast cancer. This study will be carried out in collaboration with the Breast International Group (BIG).
DOI: 10.6084/m9.figshare.22722388
title: 0ALL+INDI.fas

description: Out of East Asia: Early Warning of the Possible Invasion of the Important Bean Pest Stalk-Eyed Seed Bug <em>Chauliops fallax</em> (Heteroptera: Malcidae: Chauliopinae)
DOI: 10.6084/m9.figshare.22722388.v1
title: 0ALL+INDI.fas

description: Out of East Asia: Early Warning of the Possible Invasion of the Important Bean Pest Stalk-Eyed Seed Bug <em>Chauliops fallax</em> (Heteroptera: Malcidae: Chauliopinae)
DOI: 10.5281/zenodo.7899981
title: Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma [Dataset]

description: Dataset of simulation results used in this study (https://doi.org/10.24072/pcjournal.271): <strong>Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma.</strong> published in Peer Community Journal. All simulations are computed using the R package landsepi<br> Package webpage: https://csiro-inra.pages.biosp.inrae.fr/landsepi/<br> To download the package: https://cran.r-project.org/web/packages/landsepi/index.html Raw data used for this study are stored in three folders corresponding to<br> the three numerical experiments (APR_1, APR_2 and APR_3, respectively). Every folder includes:<br> - an R script for the generation of a simulation plan<br> - 10 folders containing simulation results for 10 stochastic replicates<br> - an R script for the analysis of the results and generation of graphics Every folder containing the simulation results includes:<br> - a text file "myDesign.txt" containing the simulation plan and outputs (1 line per simulation)<br> - a text file "parameters.txt" containing a summary of all parameter values<br> - a text file "param_disp_patho.txt" containing the dispersal matrix of the pathogen<br> - a text file "param_landscape.txt" containing the landscape structure<br> (i.e. for every polygon [lines] and every year [columns] the index of the cultivated host)
DOI: 10.5281/zenodo.7899980
title: Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma [Dataset]

description: Dataset of simulation results used in this study (https://doi.org/10.24072/pcjournal.271): <strong>Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma.</strong> published in Peer Community Journal. All simulations are computed using the R package landsepi<br> Package webpage: https://csiro-inra.pages.biosp.inrae.fr/landsepi/<br> To download the package: https://cran.r-project.org/web/packages/landsepi/index.html Raw data used for this study are stored in three folders corresponding to<br> the three numerical experiments (APR_1, APR_2 and APR_3, respectively). Every folder includes:<br> - an R script for the generation of a simulation plan<br> - 10 folders containing simulation results for 10 stochastic replicates<br> - an R script for the analysis of the results and generation of graphics Every folder containing the simulation results includes:<br> - a text file "myDesign.txt" containing the simulation plan and outputs (1 line per simulation)<br> - a text file "parameters.txt" containing a summary of all parameter values<br> - a text file "param_disp_patho.txt" containing the dispersal matrix of the pathogen<br> - a text file "param_landscape.txt" containing the landscape structure<br> (i.e. for every polygon [lines] and every year [columns] the index of the cultivated host)
DOI: 10.25934/pr00005673.3
title: Available IPD datapackage for study 'A Randomized, Double-blind Study of Safety and Reduction in Signs and Symptoms During Treatment With Tocilizumab Versus Placebo, in Combination With Methotrexate, in Patients With Moderate to Severe Rheumatoid Arthritis'

description: This 3 arm study will compare the safety and efficacy, with regard to reduction of signs and symptoms, of tocilizumab versus placebo, both in combination with methotrexate (MTX). in patients with moderate to severe active rheumatoid arthritis (RA) who currently have an inadequate response to MTX. Patients wil be randomized to receive tocilizumab 4mg/kg iv, tocilizumab 8mg/mg iv, or placebo iv, every 4 weeks; all patients will also receive methotrexate 10-25mg weekly. The anticipated time on study treatment is 3-12 months, and the target sample size is 500+ individuals.
DOI: 10.25934/pr00005674.2
title: Available IPD datapackage for study 'A Randomized, Double-blind Study of the Effect of Tocilizumab on Reduction in Signs and Symptoms in Patients With Moderate to Severe Active Rheumatoid Arthritis and Inadequate Response to DMARD Therapy'

description: This 2 arm study will compare the safety and efficacy, with regard to reduction of signs and symptoms, of tocilizumab versus placebo in combination with traditional Disease-Modifying Anti-Rheumatic Drug (DMARD) therapy in patients with moderate to severe active rheumatoid arthritis (RA) who have had an inadequate response to current DMARD therapy. Patients will be randomized to receive tocilizumab 8mg/kg iv or placebo iv every 4 weeks, in conjunction with stable DMARD therapy. The anticipated time on study treatment is 3-12 months, and the target sample size is 500+ individuals.
DOI: 10.5281/zenodo.7899993
title: Data Argo Cant GBC

description: Whole database of our Argo-based Cant estimates
DOI: 10.5281/zenodo.7899992
title: Data Argo Cant GBC

description: Whole database of our Argo-based Cant estimates
DOI: 10.7281/t1/3xlwzx/lxlgdy
title: raw data for doping interface analysis JACS 2019_original.zip

description: Measured data points producing plots of currents and voltages through the silicon transistor gated through the dopant solution, plus spectroscopic data
DOI: 10.5281/zenodo.7899977
title: Supplementary data for "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory"

description: Supplementary data belonging to "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory". The data includes geometries for the molecules in the paper as well as the Hamiltonian matrix elements, orbital coefficients and overlap matrices to reproduce the data in the paper.
DOI: 10.5281/zenodo.7899976
title: Supplementary data for "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory"

description: Supplementary data belonging to "Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory". The data includes geometries for the molecules in the paper as well as the Hamiltonian matrix elements, orbital coefficients and overlap matrices to reproduce the data in the paper.
DOI: 10.5281/zenodo.6789229
title: Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review

description: This is the replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review Submitted to Transaction on Software Engineering Journal. Yalemisew Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul Clarke This package contains the following folders and files that provide additional insight to replicate the SLR.<br> - Literature_Search_Strategy.pdf : A detailed description of the literature search outlining the steps and the results of the steps.<br> - Literature_Search_Data: A folder containing the different stages of search results and refinements. It contains four files listing studies included from the 1st round to the 4th round of filtering. A description of each file is included in the Literature_Search_Strategy document.<br> - Snowballing_Data: A folder containing the list of studies included in the snowballing process.<br> - Data_Extraction.xlsx: The data extraction template and the summary of the memoing result. If you have futher questions regarding the survey, feel free to contact us via e-mail. Yalemisewm.abgaz@dcu.ie
DOI: 10.5281/zenodo.6800353
title: Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review

description: This is the replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review Submitted to Transaction on Software Engineering Journal. Yalemisew Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul Clarke This package contains the following folders and files that provide additional insight to replicate the SLR.<br> - Literature_Search_Strategy.pdf : A detailed description of the literature search outlining the steps and the results of the steps.<br> - Literature_Search_Data: A folder containing the different stages of search results and refinements. It contains four files listing studies included from the 1st round to the 4th round of filtering. A description of each file is included in the Literature_Search_Strategy document.<br> - Snowballing_Data: A folder containing the list of studies included in the snowballing process.<br> - Data_Extraction.xlsx: The data extraction template and the summary of the memoing result. If you have futher questions regarding the survey, feel free to contact us via e-mail. Yalemisewm.abgaz@dcu.ie
DOI: 10.5281/zenodo.6789228
title: Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review

description: <strong>Replication Package</strong> <strong>Title:</strong> Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review. <strong>Authors:</strong> Yalemisew Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul Clarke <strong>Year</strong> This replication package was initially generated in 2022 and following feedback from reviewers, it is revised in 2023. This package contains two files and three folders that provide additional insight for researchers who wish to replicate our work or who would like to expand the review in the future. <strong>Files</strong> The file contains a detailed description of the literature search outlining the steps and the results obtained. Readme.md: A readme file (this file). <strong>Folders</strong> A folder containing the search results and the refinement steps. It contains four files listing studies included in the refinement process (Refinement_Step_1 to Refinement_Step_4) and a master file combining all the steps in one file. The master file contains detailed information about how the refinement steps are executed and all the intermediate results following each refinement step. Users may explore by expanding the filters in Refinement Step 2 (J), Refinement Step 3 (M) and Refinement Step 4 § columns in the master sheet. Readers can also directly go to the sheets that contain the selected studies in any of the refinement stages. A description of each file is also included in the Literature_Search_Strategy.pdf file. This folder contains the list of studies included in the snowballing process, including the last two refinement steps (Refinement_Step_5 and Refinement_Step_6). The snowballing master sheet contains studies extracted using the snowballing process and the data cleaning and filtering criteria used. The different sheets also contain the selected studies at each stage of the snowballing process. This folder contains the data extracted from the selected literature by employing the Systematic Review and Ground Theory. The two files included in this folder contain the data extraction template and the data extracted from the 35 selected studies including some intermediate notes. If you have further questions regarding the survey, feel free to contact us via e-mail. Yalemisewm.abgaz@dcu.ie.