cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9920096.v1
title: Pacific Northwest and Southeast U.S. stripe rust data

description: This dataset consists of genotypic, phenotypic, and covariate SNP data for two panels of soft red winter wheat (<i>Triticum aestivum</i>) evaulated for stripe rust (<i>Puccinia striiformis</i>; Yr) resistance: the Historical Eastern (HE) panel, consisting of 273 genotypes, and the Southeastern Elite (SE) panel, consisting of 588 genotypes. The HE panel was grown in Central Ferry, WA in 2013; Mount Vernon, WA in 2013 and 2014; the Spillman Agronomy Farm in Pullman, WA in 2014; the Whitlow Agronomy Farm in Pullman, WA in 2013 and 2014; and the Milo J. Shult Agricultural Research and Extension Center in Fayetteville, AR in 2013 and 2014. The SE panel was grown at the same location in Fayetteville, AR and in Plains, GA in 2018 and 2019.<br><br>Genotypic data is supplied in variant call format (VCF) files. A file of filtered, pre-imputed data is supplied (HEP-SEP_Yr_50miss_prefilt.vcf.gz), as well as a file of imputed data (HEP-SEP_Yr_50miss_postimp_filt.vcf.gz). SNP calling was performed using TASSEL-GBS in TASSEL 5.2.50 for both panels jointly, aligning against the v1 Chinese Spring reference genome assembly. The raw SNP data was filtered to remove SNPs with minor allele frequency &lt; 5%, &gt; 50% missing data rate, or with &gt; 10% heterozygous call frequency. Following filtering, missing data was imputed using Beagle 5.0. Following imputation, SNP data was filtered a second time using the same minor allele frequency and heterozygous call thresholds listed above. The imputed data was thinned to only retain a single SNP in groups of SNPs in perfect linkage disequilibrium (r<sup>2</sup> = 1).<br><br>Phenotypic data consists of within-environment means for the HE panel (HEP_Yr_pheno_env_means.csv) and the SE panel (SEP_Yr_pheno_env_means.csv). Stripe rust severity (SEV) and infection type (IT) were rated for the HE panel, while only SEV was rated for the SE panel. The SE data has been converted to percentiles within each environment, as it was originally collected on two different scales.<br><br>Covariate SNP data (HEP-SEP_Yr_KASP_covars.csv) consists of data from LGC Genomics KASP assays for the <i>Yr17/Lr37/Sr38</i> locus on chromosome 2A, evaluated in both the HE and SE panels, and the <i>Yr30/Sr2</i> locus on chromosome 3B, evaluated in the HE panel only. Note that the <i>Yr30/Sr2</i> locus contains a null allele.<br><br>Finally, environments_info.csv contains general information on all of the testing environments used in the study.<br>
DOI: 10.6084/m9.figshare.14046635.v1
title: Ecological niche adaptation of a bacterial pathogen associated with reduced zoonotic potential

description: <b>Ecological niche adaptation of a bacterial pathogen associated with reduced zoonotic potential </b>data
DOI: 10.6084/m9.figshare.14046635
title: Ecological niche adaptation of a bacterial pathogen associated with reduced zoonotic potential

description: <b>Ecological niche adaptation of a bacterial pathogen associated with reduced zoonotic potential </b>data
DOI: 10.6084/m9.figshare.14046584
title: Content Analysis: Altmetrics-Latin America. Dimensions data

description: Altmetrics studies emerged ten years ago in the Global North context and after a few years spread around the world. The paper investigates who are the Latin American researchers, and the relationship between South and North in Altmetric Studies and the situation of altmetric output in Latin America. (Research Design and methods) This study combines global mapping and social networks analysis, using Dimensions and VOSviewer to measure co-authorship, bibliographic coupling and co-citation analysis and content analysis to identify types of production on this topic in Latina America outputs (Dimensions data). Findings: Results (n=172) show the prominence of Brazil, Colombia and Mexico in altmetric research in Latin America. There is strong co-authorship relation in Anglophone output between Latin American research on this issue. There is an internal national co-authorship, with a huge influence from the North as reference to Latin American altmetric studies, but with gradual recognition of Mexico and Brazil as leading exponents in the region.
DOI: 10.6084/m9.figshare.14046584.v2
title: Content Analysis: Altmetrics-Latin America. Dimensions data

description: Altmetrics studies emerged ten years ago in the Global North context and after a few years spread around the world. The paper investigates who are the Latin American researchers, and the relationship between South and North in Altmetric Studies and the situation of altmetric output in Latin America. (Research Design and methods) This study combines global mapping and social networks analysis, using Dimensions and VOSviewer to measure co-authorship, bibliographic coupling and co-citation analysis and content analysis to identify types of production on this topic in Latina America outputs (Dimensions data). Findings: Results (n=172) show the prominence of Brazil, Colombia and Mexico in altmetric research in Latin America. There is strong co-authorship relation in Anglophone output between Latin American research on this issue. There is an internal national co-authorship, with a huge influence from the North as reference to Latin American altmetric studies, but with gradual recognition of Mexico and Brazil as leading exponents in the region.
DOI: 10.6084/m9.figshare.14046584.v1
title: Content Analysis: Altmetrics-Latin America. Dimensions data

description: Altmetrics studies emerged ten years ago in the Global North context and after a few years spread around the world. The paper investigates who are the Latin American researchers, and the relationship between South and North in Altmetric Studies and the situation of altmetric output in Latin America. (Research Design and methods) This study combines global mapping and social networks analysis, using Dimensions and VOSviewer to measure co-authorship, bibliographic coupling and co-citation analysis and content analysis to identify types of production on this topic in Latina America outputs (Dimensions data). Findings: Results (n=172) show the prominence of Brazil, Colombia and Mexico in altmetric research in Latin America. There is strong co-authorship relation in Anglophone output between Latin American research on this issue. There is an internal national co-authorship, with a huge influence from the North as reference to Latin American altmetric studies, but with gradual recognition of Mexico and Brazil as leading exponents in the region.
DOI: 10.21223/egola0/yggazo
title: Jun-120B.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/4ssuqz
title: Jun-107.clean.fq.gz

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DOI: 10.21223/egola0/hjwsen
title: Jun-057.clean.fq.gz

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DOI: 10.21223/egola0/hfatuc
title: Jun-017.clean.fq.gz

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title: Jun-013.clean.fq.gz

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DOI: 10.21223/egola0/iincww
title: Jun-041.clean.fq.gz

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DOI: 10.21223/egola0/bcedrz
title: Jun-025.clean.fq.gz

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DOI: 10.21223/egola0/df0knw
title: Jun-174.clean.fq.gz

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DOI: 10.21223/egola0/w0w54n
title: Jun-169.clean.fq.gz

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DOI: 10.21223/egola0/mhdlov
title: Jun-030.clean.fq.gz

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DOI: 10.21223/egola0/r4qbhh
title: Jun-022.clean.fq.gz

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DOI: 10.21223/egola0/zcuyyk
title: Jun-100.clean.fq.gz

description: :unav
DOI: 10.17632/vsvvmsxn4g.2
title: Data for: Climate change awareness: Empirical evidence for the European Union

description: dataset
DOI: 10.21223/egola0/ralocg
title: Jun-023.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/ws2mv3
title: Jun-133.clean.fq.gz

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DOI: 10.21223/egola0/6kngwc
title: Jun-048.clean.fq.gz

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DOI: 10.21223/egola0/ss8cji
title: Jun-130B.clean.fq.gz

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title: Jun-177.clean.fq.gz

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title: Jun-170.clean.fq.gz

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title: Jun-135.clean.fq.gz

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title: Jun-007.clean.fq.gz

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DOI: 10.21223/egola0/bq7bkb
title: Jun-140B.clean.fq.gz

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title: Jun-010B.clean.fq.gz

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DOI: 10.21223/egola0/hobv0q
title: Jun-080B.clean.fq.gz

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title: Jun-064.clean.fq.gz

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title: Jun-132.clean.fq.gz

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title: Jun-089.clean.fq.gz

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title: Jun-139.clean.fq.gz

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title: Jun-123.clean.fq.gz

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DOI: 10.21223/egola0/aupen2
title: Jun-039.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/6xcsez
title: Jun-032.clean.fq.gz

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DOI: 10.21223/egola0/4shmtb
title: Jun-072.clean.fq.gz

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DOI: 10.21223/egola0/iarn2y
title: Jun-062.clean.fq.gz

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DOI: 10.21223/egola0/9fz4td
title: Jun-091.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/q5j2em
title: Jun-088.clean.fq.gz

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DOI: 10.21223/egola0/brondd
title: Jun-131.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/nasgqm
title: Jun-012.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/2vn5ld
title: Jun-170B.clean.fq.gz

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DOI: 10.21223/egola0/9nhlkw
title: Jun-124.clean.fq.gz

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DOI: 10.21223/egola0/km4fyb
title: Jun-105.clean.fq.gz

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DOI: 10.21223/egola0/94hzls
title: Jun-018.clean.fq.gz

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DOI: 10.21223/egola0/koewg1
title: Jun-011.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/jgmwq4
title: Jun-053.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/ikjxa4
title: Jun-111.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/weatwp
title: Jun-113.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/ckgt1r
title: Jun-172.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/neidrz
title: Jun-161.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/rz8xvh
title: Jun-079.clean.fq.gz

description: :unav
DOI: 10.5281/zenodo.4545112
title: Database for classification of Araucaria angustifolia (Bertol.) Kuntze and Hovenia dulcis Thunb. based on WoldView2 image clippings

description: This database was used in the work Potential of machine learning and WorldView-2 images to recognize endangered and invasive species in the Atlantic Rainforest. In this work, we compared the use of spectral and textural descriptors (Pyramid Histogram of Oriented Gradients - PHOG and Filter Edge), optimized by data mining (Genetic Algorithm - GA) submitted to two classifiers Random Forest - RF and Artificial Neural Network - ANN. Thus, we sought to explore the spectral and textural response of these species in WorldView-2 multispectral images.
description: We selected two compositions (RBG: R=660 nm, G=545 nm, B=480 nm, and NIR: NIR-2=950 nm, G=545 nm, B=480 nm)
DOI: 10.21223/egola0/tyzxly
title: Jun-003.clean.fq.gz

description: :unav
DOI: 10.5281/zenodo.4545111
title: Database for classification of Araucaria angustifolia (Bertol.) Kuntze and Hovenia dulcis Thunb. based on WoldView2 image clippings

description: This database was used in the work Potential of machine learning and WorldView-2 images to recognize endangered and invasive species in the Atlantic Rainforest. In this work, we compared the use of spectral and textural descriptors (Pyramid Histogram of Oriented Gradients - PHOG and Filter Edge), optimized by data mining (Genetic Algorithm - GA) submitted to two classifiers Random Forest - RF and Artificial Neural Network - ANN. Thus, we sought to explore the spectral and textural response of these species in WorldView-2 multispectral images.
description: We selected two compositions (RBG: R=660 nm, G=545 nm, B=480 nm, and NIR: NIR-2=950 nm, G=545 nm, B=480 nm)
DOI: 10.21223/egola0/5uv982
title: Jun-020.clean.fq.gz

description: :unav
DOI: 10.21223/egola0/ee22r2
title: Jun-121.clean.fq.gz

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DOI: 10.21223/egola0/kdloqq
title: Jun-086.clean.fq.gz

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DOI: 10.21223/egola0/7fhymh
title: Jun-069.clean.fq.gz

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DOI: 10.21223/egola0/afpmnp
title: Jun-140.clean.fq.gz

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title: Jun-068.clean.fq.gz

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DOI: 10.21223/egola0/zahbus
title: Jun-134.clean.fq.gz

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DOI: 10.21223/egola0/ycf3ja
title: Jun-164.clean.fq.gz

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title: Jun-060.clean.fq.gz

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title: Jun-096.clean.fq.gz

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title: Jun-005.clean.fq.gz

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title: Jun-026.clean.fq.gz

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title: Jun-130.clean.fq.gz

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title: Jun-128.clean.fq.gz

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DOI: 10.21223/egola0/sijnqj
title: Jun-167.clean.fq.gz

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DOI: 10.21223/egola0/euaxq6
title: Jun-020B.clean.fq.gz

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DOI: 10.21223/egola0/wl14th
title: Jun-027.clean.fq.gz

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DOI: 10.21223/egola0/yazcup
title: Jun-058.clean.fq.gz

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DOI: 10.21223/egola0/yvzgew
title: Jun-070.clean.fq.gz

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DOI: 10.21223/egola0/xq7vc6
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title: Jun-127.clean.fq.gz

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title: Jun-171.clean.fq.gz

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title: Jun-028.clean.fq.gz

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DOI: 10.21223/egola0/664tkk
title: Jun-030B.clean.fq.gz

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DOI: 10.21223/egola0/cclnqd
title: Jun-110B.clean.fq.gz

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title: Jun-060B.clean.fq.gz

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title: Jun-063.clean.fq.gz

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DOI: 10.6084/m9.figshare.14746299.v1
title: Additional file 7 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 7: Table S4. Gene sets associated with different immune cells.
DOI: 10.6084/m9.figshare.14746296.v1
title: Additional file 6 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 6: Figure S3: Co-expression analysis of GNG5 and GSEA enrichment analysis results. The correlation between GNG5 and POP4 (A), RER1 (B), ATRNL1 (C), TUB (D); GSEA enrichment analysis of the ECM-receptor interaction (E), the focal adhesion (F), the toll-like receptor signaling pathway (G) and the nod-like receptor signaling pathway (H).
DOI: 10.6084/m9.figshare.14746290.v1
title: Additional file 5 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 5: Figure S2: Correlation between IDH1 R132H and GNG5 in glioma samples. (A): Representative results of IDH1 R132H immunohistochemical staining in GNG5 positive tissue; (B): correlation analysis of GNG5 and IDH1 R132H based on the clinical sample. *P = 0.0309.
DOI: 10.6084/m9.figshare.14746287.v1
title: Additional file 4 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 4: Figure S1: Correlation between GNG5 expression level and overall survival of glioma patients. (A): Immunohistochemical results of GNG5 in glioma and normal tissues based on human protein atlas. LGG: low grade glioma, HGG: high grade glioma; (B): Kaplan-Meier curve based on TCGA database; (C): Differences in GNG5 expression in patients with different survival periods based on GEO (GSE 53733).
DOI: 10.6084/m9.figshare.14746863
title: Additional file 2 of Predicting anticancer hyperfoods with graph convolutional networks

description: Additional file 2 Top predicted anticancer food molecules.
DOI: 10.6084/m9.figshare.14746860
title: Additional file 1 of Predicting anticancer hyperfoods with graph convolutional networks

description: Additional file 1 Analysis of over-represented pathways.
DOI: 10.6084/m9.figshare.14746830
title: Additional file 2 of Involvement of the VEGF signaling pathway in immunosuppression and hypoxia stress: analysis of mRNA expression in lymphocytes mediating panting in Jersey cattle under heat stress

description: Additional file 2. Complemary material.
DOI: 10.6084/m9.figshare.14746819
title: Additional file 8 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 8. Custom code. This file contains a summary of the custom code used in this work.
DOI: 10.6084/m9.figshare.14746803
title: Additional file 1 of A quantitative risk assessment to evaluate the efficacy of mitigation strategies to reduce highly pathogenic avian influenza virus, subtype H5N1 (HPAI H5N1) in the Menoufia governorate, Egypt

description: Additional file 1.
DOI: 10.6084/m9.figshare.14746795
title: Additional file 14 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 14: Table S5. Transcription factor DNA binding motif enrichment analysis. This table contains the information from all time points for both dynamic and stable interactions separately.
DOI: 10.6084/m9.figshare.14746789
title: Additional file 13 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 13: Table S4. Promoter Capture Hi-C statistics. HiCUP summary results for independent P- CHi-C replicates and significant interactions detected with CHiCAGO.
DOI: 10.6084/m9.figshare.14746786
title: Additional file 12 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 12: Table S3. Circadian genes detected from total RNAseq.
DOI: 10.6084/m9.figshare.14746783
title: Additional file 11 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 11: Table S2. Total stranded RNAseq number of unique read pairs.
DOI: 10.6084/m9.figshare.14746780
title: Additional file 10 of The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle

description: Additional file 10: Table S1. Hi-C statistics. HiCUP summary results for the independent Hi-C replicates.
DOI: 10.6084/m9.figshare.14746776
title: Additional file 2 of Characterization of terminal-ileal and colonic Crohn’s disease in treatment-naïve paediatric patients based on transcriptomic profile using logistic regression

description: Additional file 2. Additional Tables S1–S13.
DOI: 10.6084/m9.figshare.14746749
title: Additional file 5 of Attributes and generic competencies required of doctors: findings from a participatory concept mapping study

description: Additional file 5. Rating dataset.
DOI: 10.6084/m9.figshare.14746746
title: Additional file 4 of Attributes and generic competencies required of doctors: findings from a participatory concept mapping study

description: Additional file 4. Sorting dataset presented as a similarity matrix.
DOI: 10.6084/m9.figshare.14746624
title: Additional file 5 of Coordinated action of human papillomavirus type 16 E6 and E7 oncoproteins on competitive endogenous RNA (ceRNA) network members in primary human keratinocytes

description: Additional file 5. The lists of genes significantly enriched GO and KEGG pathways.