cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/19092866
title: Dataset: Efficacy of Biopesticides in Management of Potato Tuber Moth, Phthorimaea operculella (Zeller), in Three Different Cultivars of Potato under Storage

description: Pest infestation causes heavy loss to farmers; both in fields and in stores. The study evaluated the efficacy of biopesticides in management of potato tuber moths (PTM) under storage condition. The potato cultivars Khumal Seto-1, Janak Dev and MS-42.3 and biopesticides <em>Bacillus thuringiensis</em>, <em>Acorus calamus</em>, <em>Azadirachta indica</em>, <em>Artemisia vulgaris</em> and a control were used. The cv. Janak Dev had the lowest infestation points per tuber (8.13), emergence of PTM adults (19.77%), physiological loss in weight (26.03%), decay loss (17.89%) and tuber damage score (2.74). The biopesticide <em>Acorus calamus</em> had the least infestation points per tuber (2.56), infested eyes per tuber (0.17), emergence of PTM adults (1%), tuber damage index (2.24), physiological loss in weight (12.11%), decay loss (4%) and tuber damage score (1.36). <em>Acorus calamus</em> had reduced larval mining by 88% and eventually had reduced decay loss by 93% as compared to control. The parameters relating to damage indicated that the cv. Janak Dev was least susceptible among the tested cultivars and <em>Acorus calamus</em> provided the best protection against damage caused by potato tuber moth.
DOI: 10.25440/smu.21228485
title: Data from "Religion, Environmental Guilt, and Pro-environmental Support: The Opposing Pathways of Stewardship Belief and Belief in a Controlling God"

description: This record contains the replication data for Religion, environmental guilt, and pro-environmental support: The opposing pathways of stewardship belief and belief in a controlling god. Religion exerts significant influence on how individuals respond to social issues. The present research investigates the implications of religious beliefs on emotions and behaviors regarding environmental issues. In three studies conducted with Christians in the U.S. (<em>N</em> = 1970), we test the model in which stewardship belief and belief in a controlling god are oppositely (i.e., positively for stewardship belief and negatively for belief in a controlling god) associated with environmental guilt, which in turn leads to greater pro-environmental support. We do so by employing both correlational (Studies 1 and 2) and experimental data (Study 3) with diverse measures of pro-environmental support, such as behavioral commitment for environmental organizations (Study 1), policy support (Studies 2 and 3), and financial donation (Study 3). Religion is a system including various beliefs that may have different implications on environmental action. Given the vast number of the religious across the world, understanding this complexity is important to address current global environmental challenges.
DOI: 10.25440/smu.21228485.v1
title: Data from "Religion, Environmental Guilt, and Pro-environmental Support: The Opposing Pathways of Stewardship Belief and Belief in a Controlling God"

description: This record contains the replication data for Religion, environmental guilt, and pro-environmental support: The opposing pathways of stewardship belief and belief in a controlling god. Religion exerts significant influence on how individuals respond to social issues. The present research investigates the implications of religious beliefs on emotions and behaviors regarding environmental issues. In three studies conducted with Christians in the U.S. (<em>N</em> = 1970), we test the model in which stewardship belief and belief in a controlling god are oppositely (i.e., positively for stewardship belief and negatively for belief in a controlling god) associated with environmental guilt, which in turn leads to greater pro-environmental support. We do so by employing both correlational (Studies 1 and 2) and experimental data (Study 3) with diverse measures of pro-environmental support, such as behavioral commitment for environmental organizations (Study 1), policy support (Studies 2 and 3), and financial donation (Study 3). Religion is a system including various beliefs that may have different implications on environmental action. Given the vast number of the religious across the world, understanding this complexity is important to address current global environmental challenges.
DOI: 10.6084/m9.figshare.21228335
title: MTF of the Stokes lens

description: Data for "Modulation transfer function of the Stokes lens and its computer-controlled application for clinical optometry of astigmatism". Contains data summary and images underlying the results presented in the paper.
DOI: 10.6084/m9.figshare.21228335.v1
title: MTF of the Stokes lens

description: Data for "Modulation transfer function of the Stokes lens and its computer-controlled application for clinical optometry of astigmatism". Contains data summary and images underlying the results presented in the paper.
DOI: 10.6084/m9.figshare.20330601.v2
title: Single-cell chromatin landscapes of mouse skin development

description: Single-cell chromatin landscapes of mouse skin development
DOI: 10.6084/m9.figshare.19773334.v1
title: Complementary task representations in hippocampus and prefrontal cortex for generalising the structure of problems

description: Data folder includes two subfolders: 1) training: behavioural training data for each animal and 2) data_recordings: data from the recording phase. data_recordings includes raw firing rates and trial information for hippocampal (HP.mat) and prefrontal (PFC.mat) animals. It also includes two subfolders. after PCA subfolder includes HP_dlc_pca.mat and PFC_dlc_pca.mat files which are residual firing rates after accounting for movement related features using DeepLabCut. behaviour subfolder include raw behavioural data from the recording phase. the data is organised in such a way that publicly available code can be used to reproduce the figures from the paper. Link to the code is here https://github.com/veronikasamborska1994/notebooks_paper.
DOI: 10.6084/m9.figshare.19773334
title: Complementary task representations in hippocampus and prefrontal cortex for generalising the structure of problems

description: Data folder includes two subfolders: 1) training: behavioural training data for each animal and 2) data_recordings: data from the recording phase. data_recordings includes raw firing rates and trial information for hippocampal (HP.mat) and prefrontal (PFC.mat) animals. It also includes two subfolders. after PCA subfolder includes HP_dlc_pca.mat and PFC_dlc_pca.mat files which are residual firing rates after accounting for movement related features using DeepLabCut. behaviour subfolder include raw behavioural data from the recording phase. the data is organised in such a way that publicly available code can be used to reproduce the figures from the paper. Link to the code is here https://github.com/veronikasamborska1994/notebooks_paper.
DOI: 10.5281/zenodo.7070556
title: Homophily in Voting Behavior: Evidence from Preferential Voting

description: This is a dataset for the paper <em>"Homophily in Voting Behavior: Evidence from Preferential Voting"</em> (co-authored by Lucie Coufalová and Michal Ševčík) that allows for the replication of all regression tables and descriptive statistics. There are four files in the dataset: "rdata.csv" is the main file with data used in regressions "homo_occupation.csv" is an auxiliary file with data used to calculate some descriptive statistics "municipalities_age.csv" is an auxiliary file with data used to calculate some descriptive statistics "replication_data_20220910.RData" is a file that contains all tables packed and compressed for use in R. <strong> Tables</strong><br> rdata...main data table used in regressions<br> homo_occupation...auxiliary data table used in descriptive stats<br> municipality_ages...auxiliary data table used in descriptive stats <strong>Variables</strong><br> <em> Outcome:</em><br> pref...number of preferential votes <em> Variables of interest:</em><br> homo_municipality...indicator variable for a candidate running in the municipality of his/her residence<br> homo_(education/occupation/age/gender)...percentage of the population sharing the characteristic of the candidate <em> Other variables:</em><br> KOD_OBEC...municipality ID in CISOB classification<br> total_fe...ID of candidate-election pair<br> maxPORCISLO...number of candidates on the ballot<br> cluster_ID...ID for error term clustering<br> POC_HLASU...total number of votes cast for the party in the given municipality<br> small_municipality...indicator variable for a municipality with a population below the median (defined separately <br> for each year and constituency)<br> year...election year (election ID)<br> VOLKRAJ...constituency ID<br> PORCISLO...position of the candidate on the ballot<br> VEK...age<br> agecat...age category<br> MANDAT...indicator variable for elected candidates<br> tertiary_educ...indicator variable for candidates with tertiary education<br> gender...male/female<br> ger_share...indicator variable for municipality being dominated by ethnic Germans in 1930
description: Mikula acknowledges financial support as part of a joint grant from the Czech Science Foundation and Austrian Science Fund (GF20-18033L).
DOI: 10.5281/zenodo.7070555
title: Homophily in Voting Behavior: Evidence from Preferential Voting

description: This is a dataset for the paper <em>"Homophily in Voting Behavior: Evidence from Preferential Voting"</em> (co-authored by Lucie Coufalová and Michal Ševčík) that allows for the replication of all regression tables and descriptive statistics. There are four files in the dataset: "rdata.csv" is the main file with data used in regressions "homo_occupation.csv" is an auxiliary file with data used to calculate some descriptive statistics "municipalities_age.csv" is an auxiliary file with data used to calculate some descriptive statistics "replication_data_20220910.RData" is a file that contains all tables packed and compressed for use in R. <strong> Tables</strong><br> rdata...main data table used in regressions<br> homo_occupation...auxiliary data table used in descriptive stats<br> municipality_ages...auxiliary data table used in descriptive stats <strong>Variables</strong><br> <em> Outcome:</em><br> pref...number of preferential votes <em> Variables of interest:</em><br> homo_municipality...indicator variable for a candidate running in the municipality of his/her residence<br> homo_(education/occupation/age/gender)...percentage of the population sharing the characteristic of the candidate <em> Other variables:</em><br> KOD_OBEC...municipality ID in CISOB classification<br> total_fe...ID of candidate-election pair<br> maxPORCISLO...number of candidates on the ballot<br> cluster_ID...ID for error term clustering<br> POC_HLASU...total number of votes cast for the party in the given municipality<br> small_municipality...indicator variable for a municipality with a population below the median (defined separately <br> for each year and constituency)<br> year...election year (election ID)<br> VOLKRAJ...constituency ID<br> PORCISLO...position of the candidate on the ballot<br> VEK...age<br> agecat...age category<br> MANDAT...indicator variable for elected candidates<br> tertiary_educ...indicator variable for candidates with tertiary education<br> gender...male/female<br> ger_share...indicator variable for municipality being dominated by ethnic Germans in 1930
description: Mikula acknowledges financial support as part of a joint grant from the Czech Science Foundation and Austrian Science Fund (GF20-18033L).
DOI: 10.6084/m9.figshare.21228673
title: Additional file 2 of Atheroprone fluid shear stress-regulated ALK1-Endoglin-SMAD signaling originates from early endosomes

description: Additional file 2. RNAseq csv file: RPKM values.
DOI: 10.6084/m9.figshare.21228673.v1
title: Additional file 2 of Atheroprone fluid shear stress-regulated ALK1-Endoglin-SMAD signaling originates from early endosomes

description: Additional file 2. RNAseq csv file: RPKM values.
DOI: 10.6084/m9.figshare.21228676
title: Additional file 3 of Atheroprone fluid shear stress-regulated ALK1-Endoglin-SMAD signaling originates from early endosomes

description: Additional file 3. RNAseq csv file: Differential expression values of LSS vs. HSS.
DOI: 10.6084/m9.figshare.21228678
title: Additional file 1 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 1. Raw results of interpolation experiment. Description: This table contains the raw results of the interpolation experiment, including the PDB ID’s of each structure used as the source of the simulated map and the ranges of errors of the tri-linear and neural interpolations.
DOI: 10.6084/m9.figshare.21228678.v1
title: Additional file 1 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 1. Raw results of interpolation experiment. Description: This table contains the raw results of the interpolation experiment, including the PDB ID’s of each structure used as the source of the simulated map and the ranges of errors of the tri-linear and neural interpolations.
DOI: 10.6084/m9.figshare.21228681
title: Additional file 2 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 2. Raw results of all-atom location comparison. Description: This table contains the raw results of the experiment comparing the locations of all atoms with the nodes of the density graphs created from atomic resolution cryo-EM maps.
DOI: 10.6084/m9.figshare.21228681.v1
title: Additional file 2 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 2. Raw results of all-atom location comparison. Description: This table contains the raw results of the experiment comparing the locations of all atoms with the nodes of the density graphs created from atomic resolution cryo-EM maps.
DOI: 10.6084/m9.figshare.21228684
title: Additional file 3 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 3. Raw results of Cα location comparison. Description: This table contains the raw results of the experiment comparing the locations of the Cα atoms with the nodes of the density graphs created from our dataset of experimental cryo-EM maps. Included in the results are the comparable metrics from the DeepTracer predictions.
DOI: 10.6084/m9.figshare.21228684.v1
title: Additional file 3 of Neural representations of cryo-EM maps and a graph-based interpretation

description: Additional file 3. Raw results of Cα location comparison. Description: This table contains the raw results of the experiment comparing the locations of the Cα atoms with the nodes of the density graphs created from our dataset of experimental cryo-EM maps. Included in the results are the comparable metrics from the DeepTracer predictions.
DOI: 10.6084/m9.figshare.21228676.v1
title: Additional file 3 of Atheroprone fluid shear stress-regulated ALK1-Endoglin-SMAD signaling originates from early endosomes

description: Additional file 3. RNAseq csv file: Differential expression values of LSS vs. HSS.
DOI: 10.6084/m9.figshare.21228709
title: Additional file 2 of Selected commensals educate the intestinal vascular and immune system for immunocompetence

description: Additional file 2: Supplemental Table 1. Results of virulence factor and antibiotic resistance gene prediction based on blastp&VFDB and RGI&CARD.
DOI: 10.6084/m9.figshare.21228709.v1
title: Additional file 2 of Selected commensals educate the intestinal vascular and immune system for immunocompetence

description: Additional file 2: Supplemental Table 1. Results of virulence factor and antibiotic resistance gene prediction based on blastp&VFDB and RGI&CARD.
DOI: 10.6084/m9.figshare.21228759
title: Additional file 1 of Functional changes in the oral microbiome after use of fluoride and arginine containing dentifrices: a metagenomic and metatranscriptomic study

description: Additional file 1: Additional Tables 1–17. Additional tables are separated in sheets in a single excel file. The first line in each sheet contains the title of each additional table.
DOI: 10.6084/m9.figshare.21228759.v1
title: Additional file 1 of Functional changes in the oral microbiome after use of fluoride and arginine containing dentifrices: a metagenomic and metatranscriptomic study

description: Additional file 1: Additional Tables 1–17. Additional tables are separated in sheets in a single excel file. The first line in each sheet contains the title of each additional table.
DOI: 10.26302/sshade/experiment_ab_20220628_001
title: Se K edge XAS HERFD of references to determine selenium speciation in seleniferous soil of Punjab, India
DOI: 10.6084/m9.figshare.21228820
title: Additional file 3 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 3: Table S1. Samples Used in Classifier. Table S2. Optimized Genes.
DOI: 10.6084/m9.figshare.21228820.v1
title: Additional file 3 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 3: Table S1. Samples Used in Classifier. Table S2. Optimized Genes.
DOI: 10.6084/m9.figshare.21228823
title: Additional file 4 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 4: Table S3. NMF Matrices.
DOI: 10.6084/m9.figshare.21228823.v1
title: Additional file 4 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 4: Table S3. NMF Matrices.
DOI: 10.6084/m9.figshare.21228826
title: Additional file 5 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 5: Table S4. Gene Set Enrichment Analysis.
DOI: 10.6084/m9.figshare.21228826.v1
title: Additional file 5 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 5: Table S4. Gene Set Enrichment Analysis.
DOI: 10.6084/m9.figshare.21228829
title: Additional file 6 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 6: Table S5. Prediction Performance in Cell Line Dataset. Table S6. NanoString Codeset. Table S7. Normalized Counts of NanoString Samples. Table S8. Pre-Collected Genes.
DOI: 10.6084/m9.figshare.21228829.v1
title: Additional file 6 of Transcriptional signatures of the BCL2 family for individualized acute myeloid leukaemia treatment

description: Additional file 6: Table S5. Prediction Performance in Cell Line Dataset. Table S6. NanoString Codeset. Table S7. Normalized Counts of NanoString Samples. Table S8. Pre-Collected Genes.
DOI: 10.6084/m9.figshare.21228856
title: Additional file 1 of Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data

description: Additional file 1: This file contains the following supplementary tables. Supplemental Table S1a. Gene findings from the UKB analysis, where TBV is the trait of interest. Shown in the table are the p-values. Supplemental Table S1b. Gene findings from the ENIGMA2 analysis, where ICV is the trait of interest. Of note, this is a targeted analysis which only examines the gene findings from the previous UKB analysis. In other words, we were looking for which TBV-associated genes were also significantly associated with ICV. Shown in the table are the p-values. Supplemental Table S2. Among 10 genes discovered in our study, 9 of them (except FAM215B) are significantly associated with TBV in the gene-based association analysis of the original UKB GWAS (Zhao et al.). Supplemental Table S3. Results of enrichment analysis of 10 discovered genes on Gene Ontology Biological Processes. Supplemental Table S4. Results of enrichment analysis of 10 discovered genes on Gene Ontology Molecular Functions.
DOI: 10.6084/m9.figshare.21228856.v1
title: Additional file 1 of Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data

description: Additional file 1: This file contains the following supplementary tables. Supplemental Table S1a. Gene findings from the UKB analysis, where TBV is the trait of interest. Shown in the table are the p-values. Supplemental Table S1b. Gene findings from the ENIGMA2 analysis, where ICV is the trait of interest. Of note, this is a targeted analysis which only examines the gene findings from the previous UKB analysis. In other words, we were looking for which TBV-associated genes were also significantly associated with ICV. Shown in the table are the p-values. Supplemental Table S2. Among 10 genes discovered in our study, 9 of them (except FAM215B) are significantly associated with TBV in the gene-based association analysis of the original UKB GWAS (Zhao et al.). Supplemental Table S3. Results of enrichment analysis of 10 discovered genes on Gene Ontology Biological Processes. Supplemental Table S4. Results of enrichment analysis of 10 discovered genes on Gene Ontology Molecular Functions.
DOI: 10.6084/m9.figshare.21228889
title: Additional file 1 of Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population – a machine learning approach

description: Additional file 1. Features used in the development of the random forest model. The “Full list” tab includes all 490 features that were available for modeling. This full list is broken down by category in the “Trauma indicators”, “Symptoms and complications”, “Other diagnoses”, and “Medications” tabs, which provide a description of how each predictor was defined. The “Importance scores” tab includes the 324 predictive features that were used to train the final random forest model (with the corresponding importance scores).
DOI: 10.6084/m9.figshare.21228889.v1
title: Additional file 1 of Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population – a machine learning approach

description: Additional file 1. Features used in the development of the random forest model. The “Full list” tab includes all 490 features that were available for modeling. This full list is broken down by category in the “Trauma indicators”, “Symptoms and complications”, “Other diagnoses”, and “Medications” tabs, which provide a description of how each predictor was defined. The “Importance scores” tab includes the 324 predictive features that were used to train the final random forest model (with the corresponding importance scores).
DOI: 10.5281/zenodo.7123239
title: STORM973: Understanding of Thunderstorm and Lightning in the Beijing Metropolitan Region

description: The dataset used in this study is consist with observation and model results. Lightning data is obtained from regional Beijing Broadband Lightning Network (BLNet) comprised by 16 stations, which could detect the total lightning including intra-cloud lightning and cloud-to-ground lightning with lightning information of location, polarity, type, height and detection error. The average detection efficiency for total flashes is 93.2%, and the identification efficiency of BLNET for CG flashes is 73.9%. Radar data is obtained from the operational radar network of five operational S-band or C-band Doppler radars around Beijing area with the horizontal resolution of 0.01˚ (latitude) × 0.01˚ (longitude). The version of WPSv4.1.2, WRFDAv4.1.2 and WRFv4.1.2 are used in this study. Lightning data assimilation scheme (LDA) was proposed based on the relationship between lightning and updraft. The lightning data used for assimilation is provided in the dataset. The dataset volume is 85M.