cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21828066.v2
title: A Digitalized Program to Improve Antenatal Health Care in a Rural Setting in North-Western Burundi: Early Evidence-based Lessons

description: This dataset is a result of a pilot study that sought to assess the feasibility of a digital intervention to improve antenatal care attendance in a rural setting in the north-western of Burundi. The paper has been published in PLOS DIGITAL.
DOI: 10.6084/m9.figshare.21828066.v3
title: A Digitalized Program to Improve Antenatal Health Care in a Rural Setting in North-Western Burundi: Early Evidence-based Lessons

description: This dataset is a result of a pilot study that sought to assess the feasibility of a digital intervention to improve antenatal care attendance in a rural setting in the north-western of Burundi. The paper has been published in PLOS DIGITAL.
DOI: 10.25625/3nruw2/icwwrc
title: Master_Thesis_Dilini_Kolombage.pdf

description: :unav
DOI: 10.25625/3nruw2
title: Spectral Deferred Correction Methods for Spatially Discretized Flow Problems

description: Master's thesis document "Spectral Deferred Correction Methods for Spatially Discretized Flow Problems" of Dilini Kolombage (examiner and co-examiner: Christoph Lehrenfeld & Max Wardetzky).
DOI: 10.6084/m9.figshare.21828122
title: SM-1_videos from Utilization of the ExactMPF package for solving a discrete analogue of the nonlinear Schrödinger equation by the inverse scattering transform method

description: Reconstruction of evolution of the potential in time (video)
DOI: 10.6084/m9.figshare.21828122.v1
title: SM-1_videos from Utilization of the ExactMPF package for solving a discrete analogue of the nonlinear Schrödinger equation by the inverse scattering transform method

description: Reconstruction of evolution of the potential in time (video)
DOI: 10.6084/m9.figshare.21174256
title: A neuromarker for drug and food craving distinguishes drug users from non-users

description: fMRI, behavioral, and meta data for the Neurobiological Craving Signature (Koban, Wager, Kober). Metadata_Craving_20220913.xlsx = Demographic data, pattern expression average per condition NCS_craving_... = NCS weight map file and header (brain map) apply_ncs.m = code to apply NCS to new data
DOI: 10.6084/m9.figshare.21174256.v1
title: A neuromarker for drug and food craving distinguishes drug users from non-users

description: fMRI, behavioral, and meta data for the Neurobiological Craving Signature (Koban, Wager, Kober). Metadata_Craving_20220913.xlsx = Demographic data, pattern expression average per condition NCS_craving_... = NCS weight map file and header (brain map) apply_ncs.m = code to apply NCS to new data
DOI: 10.6084/m9.figshare.21334422
title: Akkermansia muciniphila protects mice against an emerging tick-borne viral pathogen

description: The dataset contains the all source data of this manuscript.
DOI: 10.6084/m9.figshare.20736697.v1
title: Arched footprints preserve the motions of fossil hominin feet

description: Supplementary data files published alongside manuscript "Arched footprints preserve the motions of fossil hominin feet" in Nature Ecology & Evolution. These files include all source data and analysis scripts that were used to generate the results and figures presented in that manuscript. See "sourceDataGuide.pdf" for descriptions of each file.
DOI: 10.6084/m9.figshare.20736697
title: Arched footprints preserve the motions of fossil hominin feet

description: Supplementary data files published alongside manuscript "Arched footprints preserve the motions of fossil hominin feet" in Nature Ecology & Evolution. These files include all source data and analysis scripts that were used to generate the results and figures presented in that manuscript. See "sourceDataGuide.pdf" for descriptions of each file.
DOI: 10.6084/m9.figshare.21089770.v1
title: Terrestrial invasive species alter marine vertebrate behaviour

description: Data, meta data and code for 'Terrestrial invasive species alter marine vertebrate behaviour'
DOI: 10.6084/m9.figshare.21089770
title: Terrestrial invasive species alter marine vertebrate behaviour

description: Data, meta data and code for 'Terrestrial invasive species alter marine vertebrate behaviour'
DOI: 10.6084/m9.figshare.21202775.v1
title: Homo sapiens and Neanderthals share high cerebral cortex integration into adulthood

description: Supporting data and code to " Homo sapiens and Neanderthals share high cerebral context integration into adulthood " ## data 1 mod_data: Averaged per species landmarks coordinates + phylogenetic tree + modular partition + mesh3d 2 onto_data: Laandmarks coordinates for ontogenetic series of Homo Pan and Gorilla + mesh3d 3 CR_data: Averaged per species matrix of CR values + reduced phylogenetic tree 4 phylomorpho_data: Data to generate the phylomorphospace ## Supporting code SUPPOTING_CODE.R
DOI: 10.6084/m9.figshare.21202775
title: Homo sapiens and Neanderthals share high cerebral cortex integration into adulthood

description: Supporting data and code to " Homo sapiens and Neanderthals share high cerebral context integration into adulthood " ## data 1 mod_data: Averaged per species landmarks coordinates + phylogenetic tree + modular partition + mesh3d 2 onto_data: Laandmarks coordinates for ontogenetic series of Homo Pan and Gorilla + mesh3d 3 CR_data: Averaged per species matrix of CR values + reduced phylogenetic tree 4 phylomorpho_data: Data to generate the phylomorphospace ## Supporting code SUPPOTING_CODE.R
DOI: 10.5281/zenodo.7509148
title: Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems"

description: This repository contains the experiment results (raw data in NPZ and CSV format and Latex tables) for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems", which is accepted in <em>Mathematical and Computational Applications</em> journal. The preprint version of the related paper is already online: Wang, H.; Emmerich, M.; Deutz, A.; Hernández, V.A.S.; Schütze, O. The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems. <em>Preprints</em> <strong>2022</strong>, 2022110103 (doi: 10.20944/preprints202211.0103.v1). <strong>Data description:</strong> we benchmarked<strong> </strong>three algorithms: (1) the standalone <strong>Hypervolume Netwon Method</strong> (HVN), (2) NSGA-III, and (3) the <strong>hybridization</strong> of the standalone HVN and NSGA-III on several artificial problems. For the standalone HVN algorithm, we tested it on three simple artificial test problems - P1, P2, and P3 (proposed in the above paper): 2D-example-50*.tex: problem P1 3D-example1*.tex: problem P2 3D-example2*.tex: problem P3 For NSGA-III and the hybridization, we tested them on the equality-constrained DTLZ and Inverted DTLZ (IDTLZ) problems: Eq1DTLZ.*npz: DTLZ problems Eq1IDTLZ*.npz: IDTLZ problems
DOI: 10.5281/zenodo.7509147
title: Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems"

description: This repository contains the experiment results (raw data in NPZ and CSV format and Latex tables) for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems", which is accepted in <em>Mathematical and Computational Applications</em> journal. The preprint version of the related paper is already online: Wang, H.; Emmerich, M.; Deutz, A.; Hernández, V.A.S.; Schütze, O. The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems. <em>Preprints</em> <strong>2022</strong>, 2022110103 (doi: 10.20944/preprints202211.0103.v1). <strong>Data description:</strong> we benchmarked<strong> </strong>three algorithms: (1) the standalone <strong>Hypervolume Netwon Method</strong> (HVN), (2) NSGA-III, and (3) the <strong>hybridization</strong> of the standalone HVN and NSGA-III on several artificial problems. For the standalone HVN algorithm, we tested it on three simple artificial test problems - P1, P2, and P3 (proposed in the above paper): 2D-example-50*.tex: problem P1 3D-example1*.tex: problem P2 3D-example2*.tex: problem P3 For NSGA-III and the hybridization, we tested them on the equality-constrained DTLZ and Inverted DTLZ (IDTLZ) problems: Eq1DTLZ.*npz: DTLZ problems Eq1IDTLZ*.npz: IDTLZ problems
DOI: 10.25934/pr00006830.2
title: Available IPD datapackage for study 'MULTICENTER, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED, PHASE 3 TRIAL OF FULVESTRANT (FASLODEX (REGISTERED)). WITH OR WITHOUT PD-0332991 (PALBOCICLIB) +/- GOSERELIN IN WOMEN WITH HORMONE RECEPTOR-POSITIVE, HER2-NEGATIVE METASTATIC BREAST CANCER WHOSE DISEASE PROGRESSED AFTER PRIOR ENDOCRINE THERAPY'

description: The study is a randomized, double blind, placebo controlled, Phase 3 clinical trial with the primary objective of demonstrating the superiority of palbociclib in combination with fulvestrant (Faslodex®) over fulvestrant alone in prolonging PFS in women with HR+, HER2 negative metastatic breast cancer whose disease has progressed after prior endocrine therapy. The safety between the two treatment arms will also be compared. During study treatment, pre- and perimenopausal women must be receiving therapy with the LHRH agonist goserelin (Zoladex® or generic).
DOI: 10.6084/m9.figshare.21828159
title: Data set

description: Excell data set in which test bench is given. Input-output relation
DOI: 10.6084/m9.figshare.21828159.v1
title: Data set

description: Excell data set in which test bench is given. Input-output relation
DOI: 10.5281/zenodo.7310719
title: A Toolkit for Automated Testing of Dafny

description: This artifact presents DUnit, DMOck, and DTest, the three components of the testing toolkit developed for the Dafny programming language. The artifact should be executed on the virtual machine provided together with the testing toolkit.
DOI: 10.5281/zenodo.7310720
title: A Toolkit for Automated Testing of Dafny

description: This artifact presents DUnit, DMOck, and DTest, the three components of the testing toolkit developed for the Dafny programming language.
DOI: 10.5281/zenodo.7508667
title: A Toolkit for Automated Testing of Dafny

description: This artifact presents DUnit, DMOck, and DTest, the three components of the testing toolkit developed for the Dafny programming language. The artifact should be executed on the virtual machine provided together with the testing toolkit.
DOI: 10.25934/pr00006831.1
title: Available IPD datapackage for study 'A RANDOMIZED, MULTICENTER, DOUBLE-BLIND PHASE 3 STUDY OF PD-0332991 (ORAL CDK 4/6 INHIBITOR) PLUS LETROZOLE VERSUS PLACEBO PLUS LETROZOLE FOR THE TREATMENT OF POSTMENOPAUSAL WOMEN WITH ER (+), HER2 (-) BREAST CANCER WHO HAVE NOT RECEIVED ANY PRIOR SYSTEMIC ANTI CANCER TREATMENT FOR ADVANCED DISEASE'

description: The study is designed to compare the clinical benefit following treatment with letrozole in combination with PD-0332991 versus letrozole in combination with placebo in postmenopausal women with ER(+)/HER2(-) advanced breast cancer who have not received prior systemic anti cancer therapies for their advanced/metastatic disease.
DOI: 10.25934/pr00006832.0
title: Available IPD datapackage for study 'PHASE 1/2, OPEN-LABEL, RANDOMIZED STUDY OF THE SAFETY, EFFICACY, AND PHARMACOKINETICS OF LETROZOLE PLUS PD 0332991 (ORAL CDK 4/6 INHIBITOR) AND LETROZOLE SINGLE AGENT FOR THE FIRST-LINE TREATMENT OF ER POSITIVE, HER2 NEGATIVE ADVANCED BREAST CANCER IN POSTMENOPAUSAL WOMEN'

description: The study is aimed to confirm that letrozole + PD 0332991 is safe and tolerable and to assess the effect of the combination on advanced breast cancer
DOI: 10.5281/zenodo.7438111
title: Dataset for Determination of voltage dependence of capacitance of 100 kV and 300 kV compressed gas capacitors using the kinetic method

description: Dataset for Determination of voltage dependence of capacitance of 100 kV and 300 kV compressed gas capacitors using the kinetic method.
DOI: 10.5281/zenodo.7438112
title: Dataset for Determination of voltage dependence of capacitance of 100 kV and 300 kV compressed gas capacitors using the kinetic method

description: Dataset for Determination of voltage dependence of capacitance of 100 kV and 300 kV compressed gas capacitors using the kinetic method.
DOI: 10.5517/ccdc.csd.cc2dfc07
title: CCDC 2217368: Experimental Crystal Structure Determination

description: Related Article: Huawei Lin, Xianru Yang, Wenyue Ning, Xiaofang Huang, Xiaoqun Cao, Yanqing Ge, Biming Mao, Chang Wang, Hongchao Guo, Chunhao Yuan|2022|Org.Lett.|24|9442|doi:10.1021/acs.orglett.2c03842
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dfc29
title: CCDC 2217370: Experimental Crystal Structure Determination

description: Related Article: Huawei Lin, Xianru Yang, Wenyue Ning, Xiaofang Huang, Xiaoqun Cao, Yanqing Ge, Biming Mao, Chang Wang, Hongchao Guo, Chunhao Yuan|2022|Org.Lett.|24|9442|doi:10.1021/acs.orglett.2c03842
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dfc3b
title: CCDC 2217371: Experimental Crystal Structure Determination

description: Related Article: Huawei Lin, Xianru Yang, Wenyue Ning, Xiaofang Huang, Xiaoqun Cao, Yanqing Ge, Biming Mao, Chang Wang, Hongchao Guo, Chunhao Yuan|2022|Org.Lett.|24|9442|doi:10.1021/acs.orglett.2c03842
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21828231
title: Electronic_Supplementary_Material.zip from Multiphysics modelling of light-actuated liquid crystal elastomers

description: FE computational code and example input files
DOI: 10.6084/m9.figshare.21828231.v1
title: Electronic_Supplementary_Material.zip from Multiphysics modelling of light-actuated liquid crystal elastomers

description: FE computational code and example input files
DOI: 10.34740/kaggle/dsv/4814807
title: AutoXGB
DOI: 10.25440/smu.21828132
title: Replication data for "Shrinking factor dimension: A reduced-rank approach"

description: This is the replication data for "shrinking factor dimension: A reduced-rank approach", published in Management Science. <br> The "data" folder includes all data files. The "codes" folder includes four folders with coding scripts: "Matlab for Main", "Python for Figures", "R", and "Matlab for LASSO Factors" <br> <br> ***** Data***** Main data files: Portfolio_returns.xlsx: data of riskfree rate, anomalies, FF48 portfolios, 202 characteristic managed portfolios stock_ret.mat: common stock returns stock_ret_nomicro: common stock returns (exclude micro caps) <br> intermediate data files： S2_1.xlsx, S2_3.xlsx, S2_5.xlsx, S2_6.xlsx: new weighting matrix W2, used for generating alternative RRA factors in Table 4. Run "weighting matrix.R" in folder "codes\R" to create. FGX_factors.mat: LASSO selected factors using Feng, Giglio, and Xiu (2020) method. Run "FGK_factors.m" in folder "codes\Matlab for LASSO Factors" to create. SCS_IS.mat: LASSO selected factors using Kozak, Nagel, and Santosh (2020) method. Run "KNS_factors.m" in folder "codes\Matlab for LASSO Factors" to create. figures.xlsx: spreadsheet "factor weights 48": weights of PCA, PLS, and 1 to 5 RRA factors. Run "Fig_factors_weights.m" in folder "codes\Matlab for Main" to create. spreadsheet "alphas 48" : absolute alphas of 48 industry portfolios. Run "Fig_alphas.m" in folder "codes\Matlab for Main" to create. <br> ***** How to Replicate ****** Tables: all main codes are in folder "codes\Matlab for Main" 1. Run "Main_code_for_Table1" to create Table 1 (summary statistics of factor proxies). 2. Run "Main_code_for_Table2_Table3" to create Table 2 (performance of different factor models: in-sample) and Table 3 (PLS and RRA factors using alternative basis assets). Estimated running time:27 mins 3. Run "Main_code_for_Table4" to create Table 4 (an alternative estimation of RRA factors), besides main data files, also needs S2_1.xlsx, S2_3.xlsx, S2_5.xlsx, S2_6.xlsx. Estimated running time:4 mins <br> 4. Run "Main_code_for_Table5" to create Table 5 (performance of different factor models: out-of-sample). Estimated running time:3 mins 29 secs <br> 5. Run "Main_code_for_Table6" to create Table 6 (performance of RRA factors estimated with a pricing error restriction). Estimated running time:17 mins 30 secs <br> 6. Run "Main_code_for_Table7" to create Table 7 (performance of different factor models with pre-specified FF five factors). Estimated running time:13 mins <br> 7. Run "Main_code_for_Table8" to create Table 8 (performance of alternative PCA factors). Estimated running time:13 mins <br> 8. Run "Main_code_for_Table9" to create Table 9 (performance of LASSO selected factors), besides main data files, also needs FGX_factors.mat and SCS_IS.mat. Estimated running time:9 mins <br> <br> <br> Figures: run "Fig1_3.py" in folder "Python for Figures" to create figure 1, 2, and 3. Needs figures.xlsx. Please install openpyxl before running. <br> <br> <br>
DOI: 10.25440/smu.21828132.v1
title: Replication data for "Shrinking factor dimension: A reduced-rank approach"

description: This is the replication data for "shrinking factor dimension: A reduced-rank approach", published in Management Science. <br> The "data" folder includes all data files. The "codes" folder includes four folders with coding scripts: "Matlab for Main", "Python for Figures", "R", and "Matlab for LASSO Factors" <br> <br> ***** Data***** Main data files: Portfolio_returns.xlsx: data of riskfree rate, anomalies, FF48 portfolios, 202 characteristic managed portfolios stock_ret.mat: common stock returns stock_ret_nomicro: common stock returns (exclude micro caps) <br> intermediate data files： S2_1.xlsx, S2_3.xlsx, S2_5.xlsx, S2_6.xlsx: new weighting matrix W2, used for generating alternative RRA factors in Table 4. Run "weighting matrix.R" in folder "codes\R" to create. FGX_factors.mat: LASSO selected factors using Feng, Giglio, and Xiu (2020) method. Run "FGK_factors.m" in folder "codes\Matlab for LASSO Factors" to create. SCS_IS.mat: LASSO selected factors using Kozak, Nagel, and Santosh (2020) method. Run "KNS_factors.m" in folder "codes\Matlab for LASSO Factors" to create. figures.xlsx: spreadsheet "factor weights 48": weights of PCA, PLS, and 1 to 5 RRA factors. Run "Fig_factors_weights.m" in folder "codes\Matlab for Main" to create. spreadsheet "alphas 48" : absolute alphas of 48 industry portfolios. Run "Fig_alphas.m" in folder "codes\Matlab for Main" to create. <br> ***** How to Replicate ****** Tables: all main codes are in folder "codes\Matlab for Main" 1. Run "Main_code_for_Table1" to create Table 1 (summary statistics of factor proxies). 2. Run "Main_code_for_Table2_Table3" to create Table 2 (performance of different factor models: in-sample) and Table 3 (PLS and RRA factors using alternative basis assets). Estimated running time:27 mins 3. Run "Main_code_for_Table4" to create Table 4 (an alternative estimation of RRA factors), besides main data files, also needs S2_1.xlsx, S2_3.xlsx, S2_5.xlsx, S2_6.xlsx. Estimated running time:4 mins <br> 4. Run "Main_code_for_Table5" to create Table 5 (performance of different factor models: out-of-sample). Estimated running time:3 mins 29 secs <br> 5. Run "Main_code_for_Table6" to create Table 6 (performance of RRA factors estimated with a pricing error restriction). Estimated running time:17 mins 30 secs <br> 6. Run "Main_code_for_Table7" to create Table 7 (performance of different factor models with pre-specified FF five factors). Estimated running time:13 mins <br> 7. Run "Main_code_for_Table8" to create Table 8 (performance of alternative PCA factors). Estimated running time:13 mins <br> 8. Run "Main_code_for_Table9" to create Table 9 (performance of LASSO selected factors), besides main data files, also needs FGX_factors.mat and SCS_IS.mat. Estimated running time:9 mins <br> <br> <br> Figures: run "Fig1_3.py" in folder "Python for Figures" to create figure 1, 2, and 3. Needs figures.xlsx. Please install openpyxl before running. <br> <br> <br>
DOI: 10.6084/m9.figshare.21334008
title: Supplementary Material for: Effect of Prenatal Omega-3 Polyunsaturated Fatty Acid Supplementation on Childhood Eczema: A Systematic Review and Meta-Analysis

description: It is uncertain about the effect of omega-3 polyunsaturated fatty acid (ω-3 PUFA) supplementation during pregnancy on the incidence of eczema among children. The aim of this review was to test if there is an effect of ω-3 PUFA supplementation during pregnancy on the risk of eczema among children of different ages. Two authors independently carried out the selection of published works, data extraction, and evaluation of the likelihood of bias. The PubMed, Medline, the Cochrane Library, Web of Science, and Embase databases updated to the date of March 2021 have been researched thoroughly for literature review. Quality Assessment of studies was evaluated using the updated tool (Rob2) provided by the Cochrane collaboration group. Six unique randomized controlled trials from 7 studies including 1,646 mother-infant pairs were contained in this review. Pooled data showed no pronounced decline in the incidence of eczema (RR = 1.09, 95% CI = 0.82~1.46, <i>p</i> = 0.54) or IgE-associated eczema (RR = 0.67; 95% CI = 0.29~1.57; <i>p</i> = 0.34). However, the subgroup analyses on “IgE-associated eczema” showed a significant decrease among the “≤3-year-old children” (RR = 0.70; 95% CI = 0.50~0.96; <i>p</i> = 0.03) in the ω-3 PUFAs group compared with the placebo. Supplementing the maternal diet with ω-3 PUFAs during pregnancy cannot reduce the danger of eczema or IgE-associated eczema among all children; however, there may be a subgroup-specific effect on 3-year-old or even younger children in reducing the incidence of IgE-associated eczema.