cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/zhdm-e7y
title: Activity of neurotransmitter receptors in the human hippocampus at the DNA, RNA, and protein level

description: The hippocampal formation plays a crucial role in memory and learning processes, and there is strong evidence that individual hippocampal regions are differentially affected by neuropsychiatric disease. The hippocampal formation has been subject of innumerable mapping studies, which provided a rich pool of information at multiple organizational levels, including cytoarchitecture, neurochemical composition, connectivity patterns, and functional characteristics. Here, we aimed to extend this knowledge by focusing on the activity of neurotransmitter receptors in the cornu Ammonis (CA) and dentate gyrus (DG), the two main regions of the hippocampus, by analyzing three molecular modalities in parallel (DNA methylation, RNA transcripts, receptors) in tissue from the same deceased adult donors (controls).
DOI: 10.5281/zenodo.5553457
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.16755631
title: Data of paper 'Global Distribution of Concurrent EMIC Waves and Magnetosonic Waves: A Survey of Van Allen Probes Observations '

description: All the data '*.mat' files can be loaded by matlab. The 'Fig2_data_Figdata.mat' and 'Fig3_data_Figdata.mat' files contain the data to draw the occurence rate plots in Figure 2 and 3 while the 'Fig2_data_SubFigdata.mat' and 'Fig3_data_SubFigdata.mat' files provide the dwell time files in Figure 2 and 3. Each cell of 'Fig5_data_Figdata.mat<br>' files provides the EMIC wave amplitudes in the first column and MS wave amplitude in the second column.
DOI: 10.6084/m9.figshare.16755631.v1
title: Data of paper 'Global Distribution of Concurrent EMIC Waves and Magnetosonic Waves: A Survey of Van Allen Probes Observations '

description: All the data '*.mat' files can be loaded by matlab. The 'Fig2_data_Figdata.mat' and 'Fig3_data_Figdata.mat' files contain the data to draw the occurence rate plots in Figure 2 and 3 while the 'Fig2_data_SubFigdata.mat' and 'Fig3_data_SubFigdata.mat' files provide the dwell time files in Figure 2 and 3. Each cell of 'Fig5_data_Figdata.mat<br>' files provides the EMIC wave amplitudes in the first column and MS wave amplitude in the second column.
DOI: 10.23728/b2share.17d4906221c043f9bb4474dca901435a
title: TAD-Net: An Approach for Realtime Action Detection Based on TCN and GCN in Digital Twin Shop-floor

description: We proposed a real-time detection approach for shop-floor production action, this approach took the sequence data of continuous human skeleton joints sequence as input, reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN), constructed our Temporal Action Detection Net (TAD-Net), realized real-time shop-floor production action detection.
DOI: 10.25345/c5nk21
title: MassIVE MSV000088198 - The F-box protein Bilbo (CG14317) targets the Smaug RNA-binding protein for destruction during the Drosophila maternal-to-zygotic transition
title: During the maternal-to-zygotic transition (MZT), which encompasses the earliest stages of animal embryogenesis, a subset of maternally supplied gene products is cleared, thus permitting activation of zygotic gene expression. In the Drosophila melanogaster embryo, the RNA-binding protein Smaug plays an essential role in progression through the MZT by regulating the translational repression and degradation of a large number of maternal mRNA species. The Smaug protein itself is rapidly cleared at the end of the MZT by a Skp/Cullin/F-box (SCF) E3-ligase complex; clearance of Smaug requires zygotic transcription. Here, we show that an F-box protein, which we name Bard (encoded by CG14317), is required for degradation of Smaug. Bard is expressed zygotically and physically interacts with Smaug at the end of the MZT, coincident with binding of the maternal SCF proteins, SkpA and Cullin1, and with degradation of Smaug. We show that shRNA-mediated knock-down of Bard or deletion of the Bard gene in the early embryo results in stabilization of Smaug protein, a phenotype that is rescued by transgenes expressing Bard.
DOI: 10.6084/m9.figshare.16750508
title: Multisensory responses in the mouse superior colliculus: spikes, processed results, and code

description: Support data files and code for "Nonlinear visuoauditory integration in the mouse superior colliculus" accepted by PLOS Computational Biology.
DOI: 10.5281/zenodo.5553566
title: Data for Statistics on Jupiter's Current Sheet with Juno Data: Geometry, Magnetic Fields and Energetic Particles

description: The statistical data of paper "Statistics on Jupiter’s Current Sheet with Juno Data: Geometry, Magnetic Fields and Energetic Particles"
DOI: 10.5281/zenodo.5489428
title: Insights into non-axisymmetric instabilities in three-dimensional rotating supernova models with neutrino and gravitational-wave signatures

description: The data of the gravitational wavefroms of core-collapse supernovae, which are used in Takiwaki, Kotake, and Foglizzo, (2021), Monthly Notices of the Royal Astronomical Society, Volume 508, Issue 1, pp.966-985
DOI: 10.5281/zenodo.5489427
title: Insights into non-axisymmetric instabilities in three-dimensional rotating supernova models with neutrino and gravitational-wave signatures

description: The data of the gravitational wavefroms of core-collapse supernovae, which are used in Takiwaki, Kotake, and Foglizzo, (2021), Monthly Notices of the Royal Astronomical Society, Volume 508, Issue 1, pp.966-985
DOI: 10.6084/m9.figshare.16755427
title: Efficacy

description: Data variables are listed in the SPSS files.
DOI: 10.6084/m9.figshare.16755427.v4
title: Efficacy

description: Data variables are listed in the SPSS files.
DOI: 10.6084/m9.figshare.16755427.v3
title: Efficacy

description: Data variables are listed in the SPSS files.
DOI: 10.6084/m9.figshare.16755676.v1
title: Data file.xlsx

description: Primary data from study testing different resuscitation cocktail compositions to improve vital organ perfusion and hemostasis in polytrauma and traumatic brain injury
DOI: 10.6084/m9.figshare.16755676
title: Data file.xlsx

description: Primary data from study testing different resuscitation cocktail compositions to improve vital organ perfusion and hemostasis in polytrauma and traumatic brain injury
DOI: 10.25345/c5hv8t
title: MassIVE MSV000088199 - The F-box protein Bard (CG14317) targets the Smaug RNA-binding protein for destruction during the Drosophila maternal-to-zygotic transition
title: During the maternal-to-zygotic transition (MZT), which encompasses the earliest stages of animal embryogenesis, a subset of maternally supplied gene products is cleared, thus permitting activation of zygotic gene expression. In the Drosophila melanogaster embryo, the RNA-binding protein Smaug plays an essential role in progression through the MZT by regulating the translational repression and degradation of a large number of maternal mRNA species. The Smaug protein itself is rapidly cleared at the end of the MZT by a Skp/Cullin/F-box (SCF) E3-ligase complex; clearance of Smaug requires zygotic transcription. Here, we show that an F-box protein, which we name Bard (bard encoded by CG14317), is required for degradation of Smaug. Bard is expressed zygotically and physically interacts with Smaug at the end of the MZT, coincident with binding of the maternal SCF proteins, SkpA and Cullin1, and with degradation of Smaug. We show that shRNA-mediated knock-down of Bard or deletion of the bard gene in the early embryo results in stabilization of Smaug protein, a phenotype that is rescued by transgenes expressing Bard .
DOI: 10.6084/m9.figshare.16755730
title: Additional file 1 of Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat

description: Additional file 1: Table S1 Phenotypic data of all the traits under all the four environments. Table S2 Phenotypic variation of two parents and RIL population in four environments and the average value. Table S3 The correlation coefficient between different traits. Table S4 QTL associated with content of glutenin and its fractions in a bread wheat RIL population across four environments. Table S5 E-QTL for total glutenin and its fractions in four environments of the RIL population. Table S6 List of 164 annotated genes located in the two main QTL clusters of 1DL-2 and 6AS-3. Table S7 Sequence for KASP markers development. Table S8 Genotyping by two KASP markers and glutenin and its fractions content in natural accessions. Table S9 Additive effect analysis of two KASP markers for glutenin content and fractions in the RIL population. Table S10 Additive effect analysis of the significant SNPs on major QTL clusters associated with content of glutenin subunits fractions in natural population.
DOI: 10.6084/m9.figshare.16755730.v1
title: Additional file 1 of Quantitative traits loci mapping and molecular marker development for total glutenin and glutenin fraction contents in wheat

description: Additional file 1: Table S1 Phenotypic data of all the traits under all the four environments. Table S2 Phenotypic variation of two parents and RIL population in four environments and the average value. Table S3 The correlation coefficient between different traits. Table S4 QTL associated with content of glutenin and its fractions in a bread wheat RIL population across four environments. Table S5 E-QTL for total glutenin and its fractions in four environments of the RIL population. Table S6 List of 164 annotated genes located in the two main QTL clusters of 1DL-2 and 6AS-3. Table S7 Sequence for KASP markers development. Table S8 Genotyping by two KASP markers and glutenin and its fractions content in natural accessions. Table S9 Additive effect analysis of two KASP markers for glutenin content and fractions in the RIL population. Table S10 Additive effect analysis of the significant SNPs on major QTL clusters associated with content of glutenin subunits fractions in natural population.
DOI: 10.6084/m9.figshare.16755731
title: Additional file 5 of Msx1 haploinsufficiency modifies the Pax9-deficient cardiovascular phenotype

description: Additional file 5. Additional Table S1. Count matrix of reads in 86 single cells from the caudal pharyngeal arches of E9.5 mouse embryos.
DOI: 10.6084/m9.figshare.16755731.v1
title: Additional file 5 of Msx1 haploinsufficiency modifies the Pax9-deficient cardiovascular phenotype

description: Additional file 5. Additional Table S1. Count matrix of reads in 86 single cells from the caudal pharyngeal arches of E9.5 mouse embryos.
DOI: 10.6084/m9.figshare.16755872
title: Additional file 1 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 1: Table S1. List of genes used for the analysis of potentially damaging SNV
DOI: 10.6084/m9.figshare.16755878.v1
title: Additional file 3 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 3: Table S2. List of genomic disorders derived from ClinGen and DECIPHER
DOI: 10.6084/m9.figshare.16755884
title: Additional file 4 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 4: Table S5. List of potentially damaging SNV
DOI: 10.6084/m9.figshare.16755872.v1
title: Additional file 1 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 1: Table S1. List of genes used for the analysis of potentially damaging SNV
DOI: 10.6084/m9.figshare.16755878
title: Additional file 3 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 3: Table S2. List of genomic disorders derived from ClinGen and DECIPHER
DOI: 10.6084/m9.figshare.16755884.v1
title: Additional file 4 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 4: Table S5. List of potentially damaging SNV
DOI: 10.6084/m9.figshare.16755887
title: Additional file 5 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 5: Table S6. List of potentially damaging CNV
DOI: 10.6084/m9.figshare.16755887.v1
title: Additional file 5 of Prevalence and phenotypic impact of rare potentially damaging variants in autism spectrum disorder

description: Additional file 5: Table S6. List of potentially damaging CNV
DOI: 10.6084/m9.figshare.16755917
title: Additional file 2 of Comparative metabolic profiling of posterior parietal cortex, amygdala, and hippocampus in conditioned fear memory

description: Additional file 2: Dataset S1. Details of statistical analysis and fold changes of overlapping metabolites in Fig. 3d and e. Significant increases in fold change value are highlighted in red and significant decreases are highlighted in blue. FC, fold change; N.D., not determined.
DOI: 10.6084/m9.figshare.16755917.v1
title: Additional file 2 of Comparative metabolic profiling of posterior parietal cortex, amygdala, and hippocampus in conditioned fear memory

description: Additional file 2: Dataset S1. Details of statistical analysis and fold changes of overlapping metabolites in Fig. 3d and e. Significant increases in fold change value are highlighted in red and significant decreases are highlighted in blue. FC, fold change; N.D., not determined.
DOI: 10.6084/m9.figshare.16755920
title: Additional file 3 of Comparative metabolic profiling of posterior parietal cortex, amygdala, and hippocampus in conditioned fear memory

description: Additional file 3: Dataset S2. Details of enrichment analysis in three brain regions in Fig. 4. Gray boxes, metabolic pathways overlapping between all three brain regions; pink boxes, metabolic pathways overlapping between PPC and AMG; orange boxes, metabolic pathways overlapping between AMG and HPC; green boxes, metabolic pathways overlapping between PPC and HPC; white boxes, metabolic pathways identified in a single brain region. FDR, false discovery rate.
DOI: 10.6084/m9.figshare.16755920.v1
title: Additional file 3 of Comparative metabolic profiling of posterior parietal cortex, amygdala, and hippocampus in conditioned fear memory

description: Additional file 3: Dataset S2. Details of enrichment analysis in three brain regions in Fig. 4. Gray boxes, metabolic pathways overlapping between all three brain regions; pink boxes, metabolic pathways overlapping between PPC and AMG; orange boxes, metabolic pathways overlapping between AMG and HPC; green boxes, metabolic pathways overlapping between PPC and HPC; white boxes, metabolic pathways identified in a single brain region. FDR, false discovery rate.
DOI: 10.6084/m9.figshare.16755985
title: Additional file 1 of Identification and clinical significance of somatic oncogenic mutations in epithelial ovarian cancer

description: Additional file 1. Summary of somatic oncogenic mutation status in 80 patients with epithelial ovarian cancer.
DOI: 10.6084/m9.figshare.16755985.v1
title: Additional file 1 of Identification and clinical significance of somatic oncogenic mutations in epithelial ovarian cancer

description: Additional file 1. Summary of somatic oncogenic mutation status in 80 patients with epithelial ovarian cancer.
DOI: 10.6084/m9.figshare.16756069
title: Additional file 2 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 2: Table S1. log2FC mRNA half-life.
DOI: 10.6084/m9.figshare.16756069.v1
title: Additional file 2 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 2: Table S1. log2FC mRNA half-life.
DOI: 10.6084/m9.figshare.16756072
title: Additional file 3 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 3: Table S2. log2FC RNA & log2FC RPF (DESeq2 data).
DOI: 10.6084/m9.figshare.16756075
title: Additional file 4 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 4: Table S3. Gene Ontology fgsea results.
DOI: 10.6084/m9.figshare.16756075.v1
title: Additional file 4 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 4: Table S3. Gene Ontology fgsea results.
DOI: 10.6084/m9.figshare.16756072.v1
title: Additional file 3 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 3: Table S2. log2FC RNA & log2FC RPF (DESeq2 data).
DOI: 10.6084/m9.figshare.16756078
title: Additional file 5 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 5: Table S4. ER/cyto fractionation RNA-seq.
DOI: 10.6084/m9.figshare.16756078.v1
title: Additional file 5 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 5: Table S4. ER/cyto fractionation RNA-seq.
DOI: 10.6084/m9.figshare.16756081
title: Additional file 6 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 6: Table S5. pulsed SILAC.
DOI: 10.6084/m9.figshare.16756081.v1
title: Additional file 6 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 6: Table S5. pulsed SILAC.
DOI: 10.6084/m9.figshare.16756084
title: Additional file 7 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 7: Table S6. pause site types.
DOI: 10.6084/m9.figshare.16756087
title: Additional file 8 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 8: Table S7. qPCR primer sequences.
DOI: 10.6084/m9.figshare.16756084.v1
title: Additional file 7 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 7: Table S6. pause site types.
DOI: 10.6084/m9.figshare.16756087.v1
title: Additional file 8 of Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by coding sequence composition and mRNA localization

description: Additional file 8: Table S7. qPCR primer sequences.
DOI: 10.6084/m9.figshare.16755706
title: Characterization of the complete mitochondrial genome of Otus lettia: exploring the mitochondrial evolution and phylogeny of owls (Strigiformes)

description: These are the supplementary materials of the article <b>"Characterization of the complete mitochondrial genome of </b><i><b>Otus lettia</b></i><b>: exploring the mitochondrial evolution and phylogeny of owls (Strigiformes)"</b>
DOI: 10.6084/m9.figshare.16755706.v1
title: Characterization of the complete mitochondrial genome of Otus lettia: exploring the mitochondrial evolution and phylogeny of owls (Strigiformes)

description: These are the supplementary materials of the article <b>"Characterization of the complete mitochondrial genome of </b><i><b>Otus lettia</b></i><b>: exploring the mitochondrial evolution and phylogeny of owls (Strigiformes)"</b>
DOI: 10.5519/qd.euu6i86p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13 records)
DOI: 10.5281/zenodo.5553579
title: Disease associated genes

description: The dataset contains disease associated genes of thirteen diseases, which are Alzheiemr's Disease, Parkinson Disease, Major Depressive Disorder, Autism Spectrum Disorder, Schizophrenia, Obesity, Atrial Fibrillation, Type II Diabetes, Melanoma Skin Cancer, Lung Cancer, Prostate cCancer, Colon Cancer, Breast Cancer. The disease genes are collected from both GWAS and OMIM.
DOI: 10.5281/zenodo.5553578
title: Disease associated genes

description: The dataset contains disease associated genes of thirteen diseases, which are Alzheiemr's Disease, Parkinson Disease, Major Depressive Disorder, Autism Spectrum Disorder, Schizophrenia, Obesity, Atrial Fibrillation, Type II Diabetes, Melanoma Skin Cancer, Lung Cancer, Prostate cCancer, Colon Cancer, Breast Cancer. The disease genes are collected from both GWAS and OMIM.
DOI: 10.5281/zenodo.5553613
title: Analisis Pengaruh COVID 19 Terhadap Perilaku Konsumtif Masyarakat dalam Penggunaan E-commerce

description: Respon kuesioner Analisis Pengaruh COVID 19 Terhadap Perilaku Konsumtif Masyarakat dalam Penggunaan E<em>-commerce</em>.
DOI: 10.5281/zenodo.5553612
title: Analisis Pengaruh COVID 19 Terhadap Perilaku Konsumtif Masyarakat dalam Penggunaan E-commerce

description: Respon kuesioner Analisis Pengaruh COVID 19 Terhadap Perilaku Konsumtif Masyarakat dalam Penggunaan E<em>-commerce</em>.
DOI: 10.6084/m9.figshare.16574741
title: A Collection of Building Footprint Data in US Counties_Part 3

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.6084/m9.figshare.16574774
title: A Collection of Building Footprint Data in US Counties_Part 4

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.6084/m9.figshare.16574801
title: A Collection of Building Footprint Data in US Counties_Part 5

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.6084/m9.figshare.16756270
title: Wu JHM WZI W3 Coral Ni

description: WZI W3 Coral Ni/Ca
DOI: 10.6084/m9.figshare.16756270.v1
title: Wu JHM WZI W3 Coral Ni

description: WZI W3 Coral Ni/Ca
DOI: 10.6084/m9.figshare.16637008.v19
title: hCoV-19 / North America / USA / Florida

description: Variant Submissions - Mu GH (B.1.621 + B.1.621.1) North America / USA / FloridaFor Dates:17SEP202120SEP2021 21SEP202122SEP2021<br>23SEP2021 A.M. & P.M. <br>Variant Submissions - Delta GK/478K.V1 (B.1.617.2+AY.x) North America / USA / FloridaFor Dates:23SEP2021 - 28SEP202129SEP2021 - 01OCT2021 02OCT2021REFERENCE: GISAID. I would like to Gratefully acknowledge all data contributors, i.e. the Authors, the Originating laboratories responsible for obtaining the specimens, and the Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.<br>
DOI: 10.7910/dvn/xehwqq
title: eyecite: A tool for parsing legal citations

description: eyecite is a Python package for high-performance extraction of legal citations from text. This is the archived version of the code that was published with the JOSS paper. See https://github.com/freelawproject/eyecite/ for more information.