cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mmrz3njn6b.1
title: Second-Life Electric Vehicle Battery Microgrid Dataset

description: The dataset was collected from one year of operation between 2019 and 2020 of the second-life battery based microgrid at the Robert-Mondavi Winery at the University of California, Davis. It includes 5-minute resolution power data from the microgrid's solar photovoltaic arrays, second-life energy storage system, and net demand. Two types of analyzed data are included as secondary data: 1) cleaned power data including calculated demand and 2) analyzed data that quantifies the contribution to the performance of the microgrid from each energy resource at reducing peak-time demand. These datasets may be utilized to evaluate the impacts of second-life energy storage systems and microgrids in terms of economic, environmental, and other factors.
DOI: 10.17632/2d5bfrb3g8.3
title: Melatonin and Cerebral Malaria

description: Cerebral malaria (CM) is a neurological dysfunction associated to neuroinflammatory mechanisms that culminate in the breakdown of the blood-brain barrier, leading to dysfunctions in the cerebral parenchyma. TNF-α is a major proinflammatory mediator and one of the main cytokine involved in the disease outcome. Currently, several studies seek for new therapies in order to reduce the damage resulting from the infection. Melatonin is described as a hormone capable of modulating neuroinflammation, presenting itself as a hormone with high capacity of neuroprotection.
DOI: 10.17632/hc785xkvfn.1
title: Euterpe oleracea and cerebral malaria

description: Cerebral malaria (CM) is one of the most severe neurological complications caused by Plasmodium falciparum, whose pathogenesis is complex and still little elucidated, being associated with cognitive behavioral and motor alterations. In attempt to prevent the development of this condition, experimental models have been used to test new therapeutic agents, such as natural products with antioxidant properties. In this context, it is relevant to evaluate the protective effect of Açaí berry (Euterpe oleracea) during the evolution of experimental cerebral malaria (ECM) induced in murine model by the inoculation of Plasmodium berghei ANKA strain.
DOI: 10.17632/g6pxkrmrmn.1
title: Decrepitation of Mn ore dataset

description: This dataset obtained from the decrepitation of South African Mn ores test experiments conducted at Mintek South Africa.
DOI: 10.17632/w92yzsvv2w.2
title: 由大卫玻姆对传播的分类论媒介研究法

description: This data is a conceptual mind map drawn on from David Bohm's On Dialogue. I used Chinese for the conceptual framework to serve the inter-cultural and dual lingual needs. And in the transition of media and media types in the current environment. 文本是所有媒介承载的基本要素。媒介发展在当今逐渐形成多功能复杂空间和时间形态。媒介属性形态通过技术和分层文本的发展形成了语言媒介的多样性。本研究是构建文本研究的方法论研究，是对媒介研究的基础研究。本研究回答的是如何通过观念进行媒介研究。“观念”一词源自英文“concept”，其中“con”表示“整合”，“cept”表示感知。观念的意思就是整合感知，或者说是对感知的整合。物质承载观念，任何文本均需物质承载。也就是说传播是观念和物质共同作用。文本不是文学，从物质层面此研究是对中国传媒大学出版社出版的《帝国与传播》的继承性研究，也就是微物质的继承和显物质的扬弃。微物质就是能量，即人造环境中的能源。现代语境背景文本开始大量由能源设备和相关基础设施而非纸张承载。文本观念独立于介质，区别于艺术生产的技艺和材料统一性。 The second part of the data is an artwork exhibited in "The Travelling Artwork" in 2011. It was created in awareness raising of the catastrophic pollutions from the past. Some contents from the artist's personally conducted research were not made explicit due to political concerns.
DOI: 10.17632/j3rcv2s9zk.1
title: Age-based variation in calf independence, social behavior and play in a captive population of African elephant calves

description: All datasets and scripts below can be used to replicate the analyses completed for the project entitled “Age-based variation in calf independence, social behavior and play in a captive population of African elephant calves." Observations were collected in June 2011 at the San Diego Zoo Safari Park in Escondido, CA.
DOI: 10.17632/tbk9ybsydf.1
title: LDHU3_01.0700

description: Rab-GTPase-TBC domain containing protein; Leishmania donovani
DOI: 10.17632/wn8j8f8ck7.1
title: Titan CIRS: Temperature, Wind, Potential Vorticity

description: Temperature, thermal winds and potential vorticity values derived from CIRS observations using the NEMESIS radiative transfer code. Data set used and detailed in https://doi.org/10.1016/j.icarus.2020.114030.
DOI: 10.17632/nfc34n8svj.1
title: DATS_2020

description: The dataset contains more than 9,000 images. A mix of photo and video mode of the camera was used to capture the images. 97 video sequences, 10-15 sec long with 30 frames per second (FPS) were recorded on various locations at different times of the day. 7,554 images could be recovered from the sequences as there were lot of redundant images. VLC Media Player was used to extract the frames from the video sequences. The images have a resolution of 1088 x 1920. Images collected in photo mode are 1,524 having a resolution of 2134 x 2988. 47 different classes are identified currently in this set of images.
DOI: 10.6084/m9.figshare.13358082
title: Additional file 1 of Identification of oligo-adenylated small RNAs in the parasite Entamoeba and a potential role for small RNA control

description: Additional file 1. Antisense sRNA mapped genes (226 genes) that overlap among three EhAgo IP libraries. Listed are 226 genes with gene ID and gene annotation. Also listed are three datasheets containing Antisense group genes for each EhAgo IP library: gene ID, antisense sRNA count, sense sRNA count, ratio of AS/S, gene expression in HM1.
DOI: 10.6084/m9.figshare.13358082.v1
title: Additional file 1 of Identification of oligo-adenylated small RNAs in the parasite Entamoeba and a potential role for small RNA control

description: Additional file 1. Antisense sRNA mapped genes (226 genes) that overlap among three EhAgo IP libraries. Listed are 226 genes with gene ID and gene annotation. Also listed are three datasheets containing Antisense group genes for each EhAgo IP library: gene ID, antisense sRNA count, sense sRNA count, ratio of AS/S, gene expression in HM1.
DOI: 10.6084/m9.figshare.12871818
title: Additional file 1 of Tropomyosin 1 genetically constrains in vitro hematopoiesis

description: Additional file 1:Table S1. The 860 chromatin feature tracks included in our LASSO analysis. These data were obtained from ENCODE [68], ChromHMM [81], and analyses of primary human MK cells [26]. Table S2. Chromatin features and coefficients comprising our penalized regression-based platelet scoring model. Coefficients for background parameters are included at the bottom of this list, but were not included in subsequent genome-wide SNP scoring. Table S3. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by platelet model scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S4. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by GWAVA scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S5. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by CADD scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S6. CRISPR/Cas9-edited Tropomyosin 1 knockout (KO) iPSC lines did not incur any additional CNVs compared to the parent line. Analyses of wild type CHOP14 and CHOP10 ‘parent’ lines, and derivative TPM1KO ‘child’ lines, are shown. Karyotype and copy number variation (CNV) analyses for all child lines were consistent with parental iPSC lines. Table S7. Dysregulated molecular pathways in TPM1KO MKs. FACS-sorted MKs were analyzed by microarray, and gene set enrichment was performed. Upregulated Gene Ontology [30] pathways with FDR&lt;25% are shown. There were no significantly downregulated pathways. GO, Gene Ontology. NES, nominal enrichment score. FDR, false discovery rate. Table S8. Chromatin features and coefficients comprising our penalized regression-based red cell scoring model. Coefficients for background parameters are included at the bottom of this list, but were not included in subsequent genome-wide SNP scoring. Table S9. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by red cell model scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S10. Penalized regression-based fine-mapping identifies eQTLs in established platelet and/or red cell trait GWAS loci that overlie GATA binding sites. Listed SNPs are within platelet or red cell trait GWAS LD blocks (EUR r2&gt;0.7), scored in the top 5% by both our platelet trait and red cell models, overlap canonical or near-canonical GATA binding sites, and are eQTLs for at least 1 gene [41] (GTEx V7). Associated GWAVA [17] scores are present, if available. SNP rsIDs and locations refer to hg19 genome. Table S11. Semi-quantitative RT-PCR primers used in this study.
DOI: 10.6084/m9.figshare.12871818.v1
title: Additional file 1 of Tropomyosin 1 genetically constrains in vitro hematopoiesis

description: Additional file 1:Table S1. The 860 chromatin feature tracks included in our LASSO analysis. These data were obtained from ENCODE [68], ChromHMM [81], and analyses of primary human MK cells [26]. Table S2. Chromatin features and coefficients comprising our penalized regression-based platelet scoring model. Coefficients for background parameters are included at the bottom of this list, but were not included in subsequent genome-wide SNP scoring. Table S3. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by platelet model scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S4. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by GWAVA scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S5. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by CADD scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S6. CRISPR/Cas9-edited Tropomyosin 1 knockout (KO) iPSC lines did not incur any additional CNVs compared to the parent line. Analyses of wild type CHOP14 and CHOP10 ‘parent’ lines, and derivative TPM1KO ‘child’ lines, are shown. Karyotype and copy number variation (CNV) analyses for all child lines were consistent with parental iPSC lines. Table S7. Dysregulated molecular pathways in TPM1KO MKs. FACS-sorted MKs were analyzed by microarray, and gene set enrichment was performed. Upregulated Gene Ontology [30] pathways with FDR&lt;25% are shown. There were no significantly downregulated pathways. GO, Gene Ontology. NES, nominal enrichment score. FDR, false discovery rate. Table S8. Chromatin features and coefficients comprising our penalized regression-based red cell scoring model. Coefficients for background parameters are included at the bottom of this list, but were not included in subsequent genome-wide SNP scoring. Table S9. Gene Ontology pathways that were significantly enriched in the top 1% of SNPs, as defined by red cell model scores. Presented pathways had false discovery rate (FDR) &lt; 5%. Table S10. Penalized regression-based fine-mapping identifies eQTLs in established platelet and/or red cell trait GWAS loci that overlie GATA binding sites. Listed SNPs are within platelet or red cell trait GWAS LD blocks (EUR r2&gt;0.7), scored in the top 5% by both our platelet trait and red cell models, overlap canonical or near-canonical GATA binding sites, and are eQTLs for at least 1 gene [41] (GTEx V7). Associated GWAVA [17] scores are present, if available. SNP rsIDs and locations refer to hg19 genome. Table S11. Semi-quantitative RT-PCR primers used in this study.
DOI: 10.17632/2mw6w556yg.1
title: Model to determine the risk of LE-ST injury in male youth soccer players

description: Model proposed in the study "A novel machine learning approach to determine the risk of lower extremity soft tissue injury in male youth soccer players".
DOI: 10.5281/zenodo.4727736
title: The radial supernova remnant distribution in the Galaxy

description: This is a basic reproduction package for the paper "The radial supernova remnant distribution in the Galaxy" by Verberne, Sill and Vink, Jacco (2021) https://doi.org/10.1093/mnras/stab940. It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.4727735
title: The radial supernova remnant distribution in the Galaxy

description: This is a basic reproduction package for the paper "The radial supernova remnant distribution in the Galaxy" by Verberne, Sill and Vink, Jacco (2021) https://doi.org/10.1093/mnras/stab940. It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.17632/58zbkwjmxr.1
title: Market multiples and currency risk exposure characteristics

description: Dataset include information about 307 companies from Russia, India, Korea, China, Australia, UK, Japan and Canada in 2016 - 2019 such as EV/Sales, EV/EBITDA, P/E, share of export revenue and debt in foreign currency, return of local market index and currency exchange rate.
DOI: 10.6084/m9.figshare.12874545.v31
title: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis
DOI: 10.6084/m9.figshare.12874545.v32
title: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis
DOI: 10.6084/m9.figshare.12874545.v33
title: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis
DOI: 10.6084/m9.figshare.12874545.v35
title: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis
DOI: 10.6084/m9.figshare.12874545.v34
title: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional file of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis
DOI: 10.6084/m9.figshare.12874518.v1
title: Additional file 1 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 1:A list of select genes identified in the subnetwork including the majority of fatty acid biosynthetic genes. Genes without informative annotation such as hypothetical proteins were excluded. (XLS 308 KB)
DOI: 10.6084/m9.figshare.12874518
title: Additional file 1 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 1:A list of select genes identified in the subnetwork including the majority of fatty acid biosynthetic genes. Genes without informative annotation such as hypothetical proteins were excluded. (XLS 308 KB)
DOI: 10.6084/m9.figshare.12874521
title: Additional file 2 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 2:A list of select genes identified in the subnetwork including those encoding oleosins and seed storage proteins. Genes without informative annotation such as hypothetical proteins were excluded. (XLS 220 KB)
DOI: 10.6084/m9.figshare.12874524
title: Additional file 3 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 3:The log2 expression values of genes involved in storage reserve accumulation across the eight seed development stages. Genes involved in seed storage reserve accumulation were adopted from early surveys [17, 59], and additional genes implicated in this process were identified through sequence analysis using BLAST [87]. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12874524.v1
title: Additional file 3 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 3:The log2 expression values of genes involved in storage reserve accumulation across the eight seed development stages. Genes involved in seed storage reserve accumulation were adopted from early surveys [17, 59], and additional genes implicated in this process were identified through sequence analysis using BLAST [87]. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12874521.v1
title: Additional file 2 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 2:A list of select genes identified in the subnetwork including those encoding oleosins and seed storage proteins. Genes without informative annotation such as hypothetical proteins were excluded. (XLS 220 KB)
DOI: 10.6084/m9.figshare.12874527.v1
title: Additional file 4 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 4:The 118 high-quality position weight matrices (PWMs) compiled for the analysis. In each matrix the definition line starts with a '&gt;' sign and an identifier (ID), followed by the description including the transcription factor (TF) name. A row represents a position in the motif sequence, and the four columns represent nucleotides A, C, G, T respectively. Each matrix was standardized such that its frequency sum for the four nucleotides at each position (row) is 1.0000. A blank line was added between every two matrices. One matrix (MA17) was excluded from the file via a manual examination due to ambiguous TF description for the matrix existing in JASPAR [78]. (TXT 43 KB)
DOI: 10.6084/m9.figshare.12874527
title: Additional file 4 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 4:The 118 high-quality position weight matrices (PWMs) compiled for the analysis. In each matrix the definition line starts with a '&gt;' sign and an identifier (ID), followed by the description including the transcription factor (TF) name. A row represents a position in the motif sequence, and the four columns represent nucleotides A, C, G, T respectively. Each matrix was standardized such that its frequency sum for the four nucleotides at each position (row) is 1.0000. A blank line was added between every two matrices. One matrix (MA17) was excluded from the file via a manual examination due to ambiguous TF description for the matrix existing in JASPAR [78]. (TXT 43 KB)
DOI: 10.6084/m9.figshare.12874530.v1
title: Additional file 5 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 5:Predicted cis -acting promoter motifs for genes involved in seed storage reserve accumulation. The start and end positions of an predicted transcription factor (TF) binding site are relative to the start of each promoter sequence, not to the transcription start site (TSS) of the gene. The numbers +1 and -1 indicate sense and antisense strand, respectively. The score was determined by the transcription factor binding site analysis tool TFBS [76]. (XLS 252 KB)
DOI: 10.6084/m9.figshare.12874530
title: Additional file 5 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis

description: Additional File 5:Predicted cis -acting promoter motifs for genes involved in seed storage reserve accumulation. The start and end positions of an predicted transcription factor (TF) binding site are relative to the start of each promoter sequence, not to the transcription start site (TSS) of the gene. The numbers +1 and -1 indicate sense and antisense strand, respectively. The score was determined by the transcription factor binding site analysis tool TFBS [76]. (XLS 252 KB)
DOI: 10.6084/m9.figshare.12875757
title: Additional file 10 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 10:qRT-PCR validation of RNA-Seq data generated by two reference sequences (MSGI 1.0 and Mt3.0 cds). A table showing the source data used to generate Figure 4. The table contains MSGI 1.0 and Mt3.0 cds IDs of genes used for qRT-PCR, qRT-PCR and RNA-Seq data generated by two reference sequences (MSGI 1.0 and Mt3.0 cds), and primers used for qRT-PCR. (TXT 11 KB)
DOI: 10.6084/m9.figshare.12875757.v1
title: Additional file 10 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 10:qRT-PCR validation of RNA-Seq data generated by two reference sequences (MSGI 1.0 and Mt3.0 cds). A table showing the source data used to generate Figure 4. The table contains MSGI 1.0 and Mt3.0 cds IDs of genes used for qRT-PCR, qRT-PCR and RNA-Seq data generated by two reference sequences (MSGI 1.0 and Mt3.0 cds), and primers used for qRT-PCR. (TXT 11 KB)
DOI: 10.6084/m9.figshare.12875760.v1
title: Additional file 11 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 11:An expression profile matrix for each library showing digital gene expression count of each gene in MSGI 1.0. A table showing the digital gene expression counts of each gene in MSGI 1.0 for ES and PES internodes of alfalfa genotypes 708 and 773. The raw expression counts generated by bowtie program were normalized using the RPKM method [1, 48]. (TXT 8 MB)
DOI: 10.6084/m9.figshare.12875763
title: Additional file 12 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 12:Top 500 most abundant transcripts in each library. A table showing the RPKM-normalized digital gene expression counts and MapMan functional classes for the top 500 most abundant transcripts selected in each library. (TXT 201 KB)
DOI: 10.6084/m9.figshare.12875763.v1
title: Additional file 12 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 12:Top 500 most abundant transcripts in each library. A table showing the RPKM-normalized digital gene expression counts and MapMan functional classes for the top 500 most abundant transcripts selected in each library. (TXT 201 KB)
DOI: 10.6084/m9.figshare.12875760
title: Additional file 11 of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file 11:An expression profile matrix for each library showing digital gene expression count of each gene in MSGI 1.0. A table showing the digital gene expression counts of each gene in MSGI 1.0 for ES and PES internodes of alfalfa genotypes 708 and 773. The raw expression counts generated by bowtie program were normalized using the RPKM method [1, 48]. (TXT 8 MB)