cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6614986
title: College students' perception of e-learning during COVID-19 pandemic in Indonesia: a cross -sectional study

description: Covid-19 has prompted higher education institutions around the globe to relocate offline classes to online classes. Universities in Indonesia were no exception. Indonesia has already developed distance education systems, and there were many challenges to utilizing e-learning. Due to the pandemic, all colleges across Indonesia were compelled to use online platforms to resume their studies. This study indicates e-learning perceptions' importance in knowledge mastery, social competence, and media literacy abilities. The study assesses college students' attitudes toward e-learning during the ongoing COVID-19 and will be utilized as an evaluation tool by The Higher Education of Education and Culture of the Republic of Indonesia. The research methods used with a quantitative model, where the sample tested represented the student of 1137 [DJ1] respondents from 43 universities in Indonesia. The study's findings show a commonly perceived weakness of e-learning was that the majority of respondents got a lack interaction with lecturers (57,6%). The study also identified that the majority of respondents have a moderate mastery of technology 1038 respondents (77.6%), while the remainder has poor and high knowledge of technology. One of the key reason students implement e-learning is the ease with which they may obtain study resources. According to the study, e-learning technology enables quick access to information, which results in students developing a favorable attitude toward it based on its utility, self-efficacy, the convenience of use, and student behavior related to e-learning. The study verifies the utility of e-learning by demonstrating how it enables students to study from any geographical location, which is not achievable with face-to-face instruction.
DOI: 10.6084/m9.figshare.17057615.v5
title: Bryophyte presence-absence and their environment data

description: They are datasets on moss and liverwort presence-absence and their environment data
DOI: 10.5281/zenodo.6614757
title: Models & Unity Task for Shape of U: The non-monotonic relationship between object-location memory and expectedness

description: These are the fitted models as well as the Unity task for <em>Shape of U: The non-monotonic relationship between object-location memory and expectedness</em> to appear <em>Psychological Science</em>. For more information please see here. Non-registered versions of these files can also be downloaded via this script.
DOI: 10.5281/zenodo.6614756
title: Models & Unity Task for Shape of U: The non-monotonic relationship between object-location memory and expectedness

description: These are the fitted models as well as the Unity task for <em>Shape of U: The non-monotonic relationship between object-location memory and expectedness</em> to appear <em>Psychological Science</em>. For more information please see here. Non-registered versions of these files can also be downloaded via this script.
DOI: 10.6084/m9.figshare.17057615.v6
title: Bryophyte presence-absence and their environment data

description: They are datasets on moss and liverwort presence-absence and their environment data
DOI: 10.5281/zenodo.6614999
title: Pyrrhura roseifrons decontaminated gx

description: .
DOI: 10.5281/zenodo.6614998
title: Pyrrhura roseifrons decontaminated gx

description: .
DOI: 10.3886/e116370v1-120020
title: Replication data for: Peer Effects in Legislative Voting

description: We exploit seating rules in the European Parliament to identify peer effects in legislative voting. Sitting adjacently leads to a 7 percent reduction in the overall likelihood that two members of the European Parliament (MEPs) from the same party differ in their vote. Peer effects are markedly stronger among pairs of women, MEP pairs from the same country, and in close votes. Using variation in seating across the parliament's two venues (Brussels and Strasbourg), we show that peer effects are persistent: MEPs who have sat together in the past disagree less even when they are not seated adjacently.
DOI: 10.6084/m9.figshare.20000906
title: TOWARDS AN UNDERSTANDING OF THE NATURE AND CAUSES OF POST-ELECTION VIOLENCE IN KENYA: CITIZENS’ PERSPECTIVES IN THE AFTERMATH OF THE 2017 GENERAL ELECTIONS.

description: <strong>FOCUS GROUP DATA FOR PROJECT BY DR. ALBERT OMULO, TITLED "</strong><em><strong>TOWARDS AN UNDERSTANDING OF THE NATURE AND CAUSES OF POST-ELECTION VIOLENCE IN KENYA: CITIZENS’ PERSPECTIVES IN THE AFTERMATH OF THE 2017 GENERAL ELECTIONS</strong></em><strong>". </strong> <strong>This research was approved by the University of the Western Cape IRB#HS 20/1/14, 2020.</strong>
DOI: 10.3886/e116370v1-120021
title: Replication data for: Peer Effects in Legislative Voting

description: We exploit seating rules in the European Parliament to identify peer effects in legislative voting. Sitting adjacently leads to a 7 percent reduction in the overall likelihood that two members of the European Parliament (MEPs) from the same party differ in their vote. Peer effects are markedly stronger among pairs of women, MEP pairs from the same country, and in close votes. Using variation in seating across the parliament's two venues (Brussels and Strasbourg), we show that peer effects are persistent: MEPs who have sat together in the past disagree less even when they are not seated adjacently.
DOI: 10.6084/m9.figshare.14459988
title: Field body temperatures of Madagascar rainforest frogs

description: Measurements of field body temperatures of rainforest frogs from different habitats in Madagascar.<br>
DOI: 10.6084/m9.figshare.14459988.v1
title: Field body temperatures of Madagascar rainforest frogs

description: Measurements of field body temperatures of rainforest frogs from different habitats in Madagascar.<br>
DOI: 10.3886/e113690v1-120040
title: Replication data for: The Family Peer Effect on Mothers' Labor Supply

description: The historical rise in female labor force participation has flattened in recent decades, but the proportion of mothers working full-time has increased. We provide the first empirical evidence that the increase in mothers' working hours is amplified through the influence of family peers. For identification, we exploit partially overlapping peer groups. Using Norwegian administrative data, we find positive and statistically significant family peer effects but only on the intensive margin of women's labor supply. These are in part driven by concerns about time allocation from early childhood and concerns about earnings from age five.
DOI: 10.6084/m9.figshare.20000912.v1
title: dataset.xls

description: Original data used in the study
DOI: 10.5281/zenodo.6615037
title: Aronia arbutifolia decontaminated gx

description: .
DOI: 10.5281/zenodo.6615036
title: Aronia arbutifolia decontaminated gx

description: .
DOI: 10.5281/zenodo.6615099
title: Asclepias incarnata decontaminated gx

description: .
DOI: 10.5281/zenodo.6615098
title: Asclepias incarnata decontaminated gx

description: .
DOI: 10.5281/zenodo.6615109
title: Camellia sinensis decontaminated gx

description: .
DOI: 10.5281/zenodo.6615121
title: Cornus kousa decontaminated gx

description: .
DOI: 10.5281/zenodo.6615120
title: Cornus kousa decontaminated gx

description: .
DOI: 10.5281/zenodo.6614860
title: Dataset for the paper: Computational framework for radionuclide migration assessment in clay rocks

description: This dataset contains OpenGeoSys-6 simulations results and scripts in Jupyter-notebook format for reproducing and visualizing the results of the paper: Garibay-Rodriguez J, Chen C, Shao H, Bilke L, Kolditz O, Montoya V and Lu R (2022) Computational Framework for Radionuclide Migration Assessment in Clay Rocks. Front. Nucl. Eng. 1:919541. doi: 10.3389/fnuen.2022.919541 Details about the usage of the scripts can be found in the OpenGeoSys-6 user guide: https://www.opengeosys.org/
DOI: 10.5281/zenodo.6614859
title: Dataset for the paper: Computational framework for radionuclide migration assessment in clay rocks

description: This dataset contains OpenGeoSys-6 simulations results and scripts in Jupyter-notebook format for reproducing and visualizing the results of the paper: Garibay-Rodriguez J, Chen C, Shao H, Bilke L, Kolditz O, Montoya V and Lu R (2022) Computational Framework for Radionuclide Migration Assessment in Clay Rocks. Front. Nucl. Eng. 1:919541. doi: 10.3389/fnuen.2022.919541 Details about the usage of the scripts can be found in the OpenGeoSys-6 user guide: https://www.opengeosys.org/
DOI: 10.34740/kaggle/dsv/3750096
title: Mahanagar Yatayat Dataset
DOI: 10.34740/kaggle/dsv/3399135
title: The UNIFESP X-Ray Body Part Classification Dataset
DOI: 10.5281/zenodo.6615131
title: 'Sublime Mix' online book reviews in Dutch

description: Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance). Dutch online book reviews drawn from ODBR database. See: Boot, P. (2017). A Database of Online Book Response and the Nature of the Literary Thriller. Digital Humanities 2017. Montreal.<br>
DOI: 10.5281/zenodo.6615130
title: 'Sublime Mix' online book reviews in Dutch

description: Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance). Dutch online book reviews drawn from ODBR database. See: Boot, P. (2017). A Database of Online Book Response and the Nature of the Literary Thriller. Digital Humanities 2017. Montreal.<br>
DOI: 10.5281/zenodo.6615143
title: 'Sublime Mix' online book reviews in English

description: Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance). English online book reviews reused from Jianmo Ni, Jiacheng Li, and Julian McAuley, "Justifying recommendations using distantly-labeled reviews and fine-grained aspects" (paper presented at the Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) and Wan et al., "Short Fine-Grained Spoiler Detection from Large-Scale Review Corpora."
DOI: 10.5281/zenodo.6615142
title: 'Sublime Mix' online book reviews in English

description: Belongs to article ‘A pretty sublime mix of WTF and OMG’. (More data to be added upon acceptance). English online book reviews reused from Jianmo Ni, Jiacheng Li, and Julian McAuley, "Justifying recommendations using distantly-labeled reviews and fine-grained aspects" (paper presented at the Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) and Wan et al., "Short Fine-Grained Spoiler Detection from Large-Scale Review Corpora."
DOI: 10.6084/m9.figshare.20001116
title: Additional file 1 of Exposure of human cerebral microvascular endothelial cells hCMEC/D3 to laminar shear stress induces vascular protective responses

description: Additional file 1: Full crude dataset of proteomics study.
DOI: 10.6084/m9.figshare.20001116.v1
title: Additional file 1 of Exposure of human cerebral microvascular endothelial cells hCMEC/D3 to laminar shear stress induces vascular protective responses

description: Additional file 1: Full crude dataset of proteomics study.
DOI: 10.6084/m9.figshare.20001140
title: Additional file 5 of Delivery fidelity of the REACT (REtirement in ACTion) physical activity and behaviour maintenance intervention for community dwelling older people with mobility limitations

description: Additional file 5. Raw data for intervention fidelity scores.
DOI: 10.6084/m9.figshare.20001140.v1
title: Additional file 5 of Delivery fidelity of the REACT (REtirement in ACTion) physical activity and behaviour maintenance intervention for community dwelling older people with mobility limitations

description: Additional file 5. Raw data for intervention fidelity scores.
DOI: 10.6084/m9.figshare.19641850
title: Additional file 3 of Whole genome sequencing and the application of a SNP panel reveal primary evolutionary lineages and genomic variation in the lion (Panthera leo)

description: Additional file 3: Supplemental Table S1. Lion and leopard samples included for whole genome sequencing and results from sequencing runs. Supplemental Table S2. Number of discovered lion SNPs per chromosome and estimated chromosome size in tiger (derived from Cho et al. (2013)). Supplemental Table S3. Coordinates of autosomal and mitochondrial SNPs in lion SNP panel. Supplemental Table S4. Genotype calls for all individuals included for genotyping with the SNP panel (125 autosomal + 14 mtDNA SNPs). Supplemental Table S5. Assignment values from SNPpanel SNPs. STRUCTURE analysis was done on 125 nuclear SNPs with the complete dataset (N = 211) and a reduced dataset excluding samples with &gt;25% missing data (N=171, '-' for assignment indicates that this sample was excluded). Haplogroups were infered from callings of 14 mtDNA SNPs which were included in the SNP panel (see Bertola et al. (2016) for reference of haplogroups). If 40% or more of the mtDNA SNPs failed, the field for the haplogroup is marked with '?'. Haplogroups marked with '?' after the assignment indicate that 60%-85% of the included mtDNA SNPs were succesfully called. Supplemental Table S6. Observed heterozygosity for lions, based on SNP data from either whole genome sequencing (individuals; all SNPs and SNPs covered in 5 or more lions) or based on results of the SNP panel (populations), and comparison with observed heterozygosity based on microsatellite data (populations). Shading indicates the ranking from low heterozygosity (red) to high heterozygosity (green). It must be noted that due to low coverage in the sample from Benin, heterozygosity may be underestimated. For the SNP panel, only results from the same samples which had previously been analyzed for the microsatellites were included. The left scatter plot shows the correlation between observed heterozygosity called based on all SNPs and based on SNPs covered in 5 or more lions. The right scatter plot shows the correlation between observed heterozygosity based on all SNPs and based on the SNP panel data (grey), and observed heterozygosity based on previously published microsatellite data (red). The bar plot shows observed heterozygosity for each dataset and per individual/population. Supplemental Table S7. Genbank entries to filter bacterial reads in contaminated lion samples Benin and RSA. Supplemental Table S8. Tiger scaffolds from Cho et al. (2013) identified as potentially of Y-chromosomal origin.
DOI: 10.6084/m9.figshare.19641850.v1
title: Additional file 3 of Whole genome sequencing and the application of a SNP panel reveal primary evolutionary lineages and genomic variation in the lion (Panthera leo)

description: Additional file 3: Supplemental Table S1. Lion and leopard samples included for whole genome sequencing and results from sequencing runs. Supplemental Table S2. Number of discovered lion SNPs per chromosome and estimated chromosome size in tiger (derived from Cho et al. (2013)). Supplemental Table S3. Coordinates of autosomal and mitochondrial SNPs in lion SNP panel. Supplemental Table S4. Genotype calls for all individuals included for genotyping with the SNP panel (125 autosomal + 14 mtDNA SNPs). Supplemental Table S5. Assignment values from SNPpanel SNPs. STRUCTURE analysis was done on 125 nuclear SNPs with the complete dataset (N = 211) and a reduced dataset excluding samples with &gt;25% missing data (N=171, '-' for assignment indicates that this sample was excluded). Haplogroups were infered from callings of 14 mtDNA SNPs which were included in the SNP panel (see Bertola et al. (2016) for reference of haplogroups). If 40% or more of the mtDNA SNPs failed, the field for the haplogroup is marked with '?'. Haplogroups marked with '?' after the assignment indicate that 60%-85% of the included mtDNA SNPs were succesfully called. Supplemental Table S6. Observed heterozygosity for lions, based on SNP data from either whole genome sequencing (individuals; all SNPs and SNPs covered in 5 or more lions) or based on results of the SNP panel (populations), and comparison with observed heterozygosity based on microsatellite data (populations). Shading indicates the ranking from low heterozygosity (red) to high heterozygosity (green). It must be noted that due to low coverage in the sample from Benin, heterozygosity may be underestimated. For the SNP panel, only results from the same samples which had previously been analyzed for the microsatellites were included. The left scatter plot shows the correlation between observed heterozygosity called based on all SNPs and based on SNPs covered in 5 or more lions. The right scatter plot shows the correlation between observed heterozygosity based on all SNPs and based on the SNP panel data (grey), and observed heterozygosity based on previously published microsatellite data (red). The bar plot shows observed heterozygosity for each dataset and per individual/population. Supplemental Table S7. Genbank entries to filter bacterial reads in contaminated lion samples Benin and RSA. Supplemental Table S8. Tiger scaffolds from Cho et al. (2013) identified as potentially of Y-chromosomal origin.
DOI: 10.6084/m9.figshare.20001176
title: Additional file 1 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 1. Sequence and assembly summary and metadata for all SARS-CoV-2 genomes sequenced as part of this study.
DOI: 10.6084/m9.figshare.20001176.v1
title: Additional file 1 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 1. Sequence and assembly summary and metadata for all SARS-CoV-2 genomes sequenced as part of this study.
DOI: 10.6084/m9.figshare.20001188
title: Additional file 5 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 5. Functional effects of mutations identified in SARS-CoV-2 genomes sequenced in this study.
DOI: 10.6084/m9.figshare.20001188.v1
title: Additional file 5 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 5. Functional effects of mutations identified in SARS-CoV-2 genomes sequenced in this study.
DOI: 10.6084/m9.figshare.20001194
title: Additional file 7 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 7. Primers utilized in amplification.
DOI: 10.6084/m9.figshare.20001194.v1
title: Additional file 7 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 7. Primers utilized in amplification.
DOI: 10.6084/m9.figshare.20001197
title: Additional file 8 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 8. Variants observed in SARS-CoV-2 genomes sequenced in this study.
DOI: 10.6084/m9.figshare.20001197.v1
title: Additional file 8 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 8. Variants observed in SARS-CoV-2 genomes sequenced in this study.
DOI: 10.6084/m9.figshare.20001200
title: Additional file 9 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 9. GISAID genomes sequences used in this study.
DOI: 10.6084/m9.figshare.20001200.v1
title: Additional file 9 of SARS-CoV-2 Delta variant isolates from vaccinated individuals

description: Additional file 9. GISAID genomes sequences used in this study.
DOI: 10.6084/m9.figshare.20001209
title: Additional file 2 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 2: Table S1 – Summary of ATAC-seq peak calls.
DOI: 10.6084/m9.figshare.20001209.v1
title: Additional file 2 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 2: Table S1 – Summary of ATAC-seq peak calls.
DOI: 10.6084/m9.figshare.20001212
title: Additional file 3 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 3: Table S2 – Summary of interactions called in PCC.
DOI: 10.6084/m9.figshare.20001212.v1
title: Additional file 3 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 3: Table S2 – Summary of interactions called in PCC.
DOI: 10.6084/m9.figshare.20001215
title: Additional file 4 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 4: Table S3 – COVID-19 variant-to-gene mapping (V2G) using Capture C and ATAC-seq.
DOI: 10.6084/m9.figshare.20001215.v1
title: Additional file 4 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 4: Table S3 – COVID-19 variant-to-gene mapping (V2G) using Capture C and ATAC-seq.
DOI: 10.6084/m9.figshare.20001218
title: Additional file 5 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 5: Table S4 - COVID-19 V2G gene set IPA analysis.
DOI: 10.6084/m9.figshare.20001218.v1
title: Additional file 5 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 5: Table S4 - COVID-19 V2G gene set IPA analysis.
DOI: 10.6084/m9.figshare.20001221
title: Additional file 6 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 6: Table S5 – Modeling COVID-19-associated SNP effects on TF.
DOI: 10.6084/m9.figshare.20001224.v1
title: Additional file 7 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 7: Table S6 – COVID-19 SNP-effected TF gene set IPA analysis.
DOI: 10.6084/m9.figshare.20001224
title: Additional file 7 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 7: Table S6 – COVID-19 SNP-effected TF gene set IPA analysis.
DOI: 10.6084/m9.figshare.20001221.v1
title: Additional file 6 of Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

description: Additional file 6: Table S5 – Modeling COVID-19-associated SNP effects on TF.
DOI: 10.6084/m9.figshare.20001236
title: Additional file 2 of De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc

description: Additional file 2: Table S1. Signature genes of the HDST breast cancer data.
DOI: 10.6084/m9.figshare.20001236.v1
title: Additional file 2 of De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc

description: Additional file 2: Table S1. Signature genes of the HDST breast cancer data.
DOI: 10.6084/m9.figshare.20001239
title: Additional file 3 of De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc

description: Additional file 3: Table S2. Signature genes of the HDST mouse olfactory bulb data.
DOI: 10.6084/m9.figshare.20001239.v1
title: Additional file 3 of De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc

description: Additional file 3: Table S2. Signature genes of the HDST mouse olfactory bulb data.