cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive167463.20221219.7.1
title: Rubrobacter marinus Chen et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167464.20220920.7
title: Nocardia aurantia Benndorf et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167464.20221219.7.1
title: Nocardia aurantia Benndorf et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167465.20220920.7
title: Streptomyces lycii Ma et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167465.20221219.7.1
title: Streptomyces lycii Ma et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167466.20220920.7
title: Myroides albus Xia et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167466.20221219.7.1
title: Myroides albus Xia et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167467.20220920.7
title: Paenibacillus ferrarius Cao et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167467.20221219.7.1
title: Paenibacillus ferrarius Cao et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167468.20220920.7
title: Bradyrhizobium hipponense Rejili et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167468.20221219.7.1
title: Bradyrhizobium hipponense Rejili et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167469.20220920.7
title: Swingsia samuiensis Malimas et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167469.20221219.7.1
title: Swingsia samuiensis Malimas et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167470.20220920.7
title: Rhodobaculum claviforme Bryantseva et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167470.20221219.7.1
title: Rhodobaculum claviforme Bryantseva et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167471.20220920.7
title: Myroides gitamensis Prasad Talluri et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167471.20221219.7.1
title: Myroides gitamensis Prasad Talluri et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167472.20220920.7
title: Nocardioides stalactiti Zhou et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167472.20221219.7.1
title: Nocardioides stalactiti Zhou et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167473.20220920.7
title: Gordonia jinghuaiqii Zhang et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167473.20221219.7.1
title: Gordonia jinghuaiqii Zhang et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167474.20220920.7
title: Roseibium limicola Weerawongwiwat et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167474.20221219.7.1
title: Roseibium limicola Weerawongwiwat et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167475.20220920.7
title: Apilactobacillus bombintestini (Heo et al. 2020) Mattarelli et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167475.20221219.7.1
title: Apilactobacillus bombintestini (Heo et al. 2020) Mattarelli et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167476.20220920.7
title: Arenibacter arenosicollis Park et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167476.20221219.7.1
title: Arenibacter arenosicollis Park et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167477.20220920.7
title: Pedobacter gandavensis Qi et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167477.20221219.7.1
title: Pedobacter gandavensis Qi et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167478.20220920.7
title: Pedobacter foliorum Qi et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167478.20221219.7.1
title: Pedobacter foliorum Qi et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167479.20220920.7
title: Serinibacter tropicus Hamada et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167479.20221219.7.1
title: Serinibacter tropicus Hamada et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167480.20220920.7
title: Arenibacter amylolyticus Sidhu et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167480.20221219.7.1
title: Arenibacter amylolyticus Sidhu et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167481.20220920.7
title: Tsuneonella suprasediminis Gao et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167481.20221219.7.1
title: Tsuneonella suprasediminis Gao et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167482.20220920.7
title: Rhodovulum viride Srinivas et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167482.20221219.7.1
title: Rhodovulum viride Srinivas et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167483.20220920.7
title: Parasulfuritortus cantonensis Xie et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167483.20221219.7.1
title: Parasulfuritortus cantonensis Xie et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167484.20220920.7
title: Niveibacterium microcysteis Kang and Park 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167484.20221219.7.1
title: Niveibacterium microcysteis Kang and Park 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167485.20220920.7
title: Formosa haliotis Tanaka et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167485.20221219.7.1
title: Formosa haliotis Tanaka et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167486.20220920.7
title: Campylobacter taeniopygiae Bryant et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167486.20221219.7.1
title: Campylobacter taeniopygiae Bryant et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.7252421
title: Genome-wide identification and characterization of novel microRNAs in seed development of soybean

description: MicroRNAs (miRNAs) are important and ubiquitous regulators of gene expression in eukaryotes. However, the information about miRNAs population and their regulatory functions involving in soybean seed development remains incomplete. Base on the Dicer-like1-mediated cleavage signals during miRNA processing could be employed for novel miRNA discovery, a genome-wide search for miRNA candidates involved in seed development was carried out. As a result, 17 novel miRNAs, 14 isoforms of miRNA (isomiRs) and 31 previously validated miRNAs were discovered. These novel miRNAs and isomiRs represented tissue-specific expression and the isomiRs showed significantly higher abundance than that of their miRNA counterparts in different tissues. After target prediction and degradome sequencing data-based validation, 13 novel miRNA–target pairs were further identified. Besides, five targets of 22-nt iso-gma-miR393h were found to be triggered to produce secondary <i>trans</i>-acting siRNA (ta-siRNAs). Summarily, our results could expand the repertoire of miRNAs with potentially important functions in soybean. Identification of novel microRNAs and their targets in soybean.
DOI: 10.6084/m9.figshare.7252421.v1
title: Genome-wide identification and characterization of novel microRNAs in seed development of soybean

description: MicroRNAs (miRNAs) are important and ubiquitous regulators of gene expression in eukaryotes. However, the information about miRNAs population and their regulatory functions involving in soybean seed development remains incomplete. Base on the Dicer-like1-mediated cleavage signals during miRNA processing could be employed for novel miRNA discovery, a genome-wide search for miRNA candidates involved in seed development was carried out. As a result, 17 novel miRNAs, 14 isoforms of miRNA (isomiRs) and 31 previously validated miRNAs were discovered. These novel miRNAs and isomiRs represented tissue-specific expression and the isomiRs showed significantly higher abundance than that of their miRNA counterparts in different tissues. After target prediction and degradome sequencing data-based validation, 13 novel miRNA–target pairs were further identified. Besides, five targets of 22-nt iso-gma-miR393h were found to be triggered to produce secondary <i>trans</i>-acting siRNA (ta-siRNAs). Summarily, our results could expand the repertoire of miRNAs with potentially important functions in soybean. Identification of novel microRNAs and their targets in soybean.
DOI: 10.6084/m9.figshare.5031527
title: Pre-transplantation thymic function is associated with the risk of acute graft versus host disease and cytomegalovirus viremia after allogeneic hematopoietic stem cell transplantation

description: <b>Objectives:</b> To analyze the kinetics of T-cell subsets and thymic function reconstitution after allogeneic hematopoietic stem cell transplantation (AHSCT); to determine whether sjTREC (signal joint TCR rearrangement excision circle) and CD31-positive recent thymic emigrant (CD31 + RTE) are correlated with acute graft versus host disease (aGVHD) or CMV (cytomegalovirus) viremia after AHSCT. <b>Methods:</b> Forty-nine patients who underwent AHSCT in our institution were prospectively enrolled. Periphery blood samples were collected before conditioning and at 1, 2, 3 months after AHSCT. T-cell subsets were analyzed with flow cytometry. Genomic DNA was purified from peripheral blood mononuclear cells (PBMCs), and sjTREC was quantified by real-time PCR. Impact of sjTREC and CD31 + RTE on aGVHD and CMV viremia was evaluated by univariate and multivariate Cox regression analyses. <b>Results:</b> The analyzed T-cell subsets and sjTREC of patients before AHSCT were all significantly lower than those of healthy donors (<i>p</i> &lt; 0.05). sjTREC and CD31 + RTE were remarkably decreased in 3 months after AHSCT (<i>p</i> &lt; 0.05). Patients with lower pre-transplantation sjTREC and CD31 + RTE level had higher incidence of CMV viremia after AHSCT (<i>p</i> &lt; 0.05). sjTREC/10<sup>6</sup> PBMCs was negatively correlated with aGVHD (<i>p</i> = 0.024). <b>Conclusion:</b> Thymic function was impaired before transplantation, and was consistently decreased in 3 months after AHSCT. Patients who had lower pre-transplantation sjTREC level were at high risk of aGVHD and CMV viremia after AHSCT, low pre-transplantation CD31 + RTE was correlated with CMV viremia after AHSCT.
DOI: 10.6084/m9.figshare.5031527.v1
title: Pre-transplantation thymic function is associated with the risk of acute graft versus host disease and cytomegalovirus viremia after allogeneic hematopoietic stem cell transplantation

description: <b>Objectives:</b> To analyze the kinetics of T-cell subsets and thymic function reconstitution after allogeneic hematopoietic stem cell transplantation (AHSCT); to determine whether sjTREC (signal joint TCR rearrangement excision circle) and CD31-positive recent thymic emigrant (CD31 + RTE) are correlated with acute graft versus host disease (aGVHD) or CMV (cytomegalovirus) viremia after AHSCT. <b>Methods:</b> Forty-nine patients who underwent AHSCT in our institution were prospectively enrolled. Periphery blood samples were collected before conditioning and at 1, 2, 3 months after AHSCT. T-cell subsets were analyzed with flow cytometry. Genomic DNA was purified from peripheral blood mononuclear cells (PBMCs), and sjTREC was quantified by real-time PCR. Impact of sjTREC and CD31 + RTE on aGVHD and CMV viremia was evaluated by univariate and multivariate Cox regression analyses. <b>Results:</b> The analyzed T-cell subsets and sjTREC of patients before AHSCT were all significantly lower than those of healthy donors (<i>p</i> &lt; 0.05). sjTREC and CD31 + RTE were remarkably decreased in 3 months after AHSCT (<i>p</i> &lt; 0.05). Patients with lower pre-transplantation sjTREC and CD31 + RTE level had higher incidence of CMV viremia after AHSCT (<i>p</i> &lt; 0.05). sjTREC/10<sup>6</sup> PBMCs was negatively correlated with aGVHD (<i>p</i> = 0.024). <b>Conclusion:</b> Thymic function was impaired before transplantation, and was consistently decreased in 3 months after AHSCT. Patients who had lower pre-transplantation sjTREC level were at high risk of aGVHD and CMV viremia after AHSCT, low pre-transplantation CD31 + RTE was correlated with CMV viremia after AHSCT.
DOI: 10.25387/g3.13944521
title: Supplemental Material for Kim et al., 2021

description: The supplementary materials.
DOI: 10.25387/g3.13944521.v1
title: Supplemental Material for Kim et al., 2021

description: The supplementary materials.
DOI: 10.6084/m9.figshare.11847339
title: Two-/three-dimensional coordination polymers: structural characterization and treatment activity on ulcerative colitis by regulating inflammatory cytokines

description: In the current study, two new mixed-ligand coordination polymers with the chemical formulae of {[Co(L<sub>1</sub>)<sub>0.5</sub>(oba)·DMF]·DMF·H<sub>2</sub>O} (<b>1</b>, L<sub>1</sub> = <i>N</i>,<i>N</i>′-bis(4-pyridylmethyl)-naphthalene diimide, H<sub>2</sub>oba = 4,4′-oxydibenzoic acid) and [Co(L<sub>2</sub>)<sub>0.5</sub>(OBA)]<i><sub>n</sub></i> (<b>2</b>, L<sub>2</sub> = 1,6-bis(benzimidazolyl)hexane) have been successfully synthesized by the solvothermal reaction of H<sub>2</sub>oba with different flexible N-donor organic ligands in the presence of Co(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O as the metal source. In addition, the biological functional evaluation of the complexes was performed on the ulcerative colitis (UC) model. First, the enzyme-linked immunosorbent assay detection kit was performed to measure the content of the pro-inflammatory cytokines and anti-inflammatory cytokines after complexes treatment. Next, the UC mice model was constructed and the body weight of the mice was measured and recorded at the 7th and 14th day after complexes treatment at the concentration of 5 mg/kg.
DOI: 10.6084/m9.figshare.12895862
title: Sea-Land Segmentation Using Deep Learning Techniques for Landsat-8 OLI Imagery

description: Automated coastline extraction from optical satellites is fundamental to coastal mapping, and sea-land segmentation is the core technology of coastline extraction. Deep convolutional neural networks (DCNNs) have performed well in semantic segmentation in recent years. However, sea-land segmentation using deep learning techniques remains a challenging task, due to the lack of a benchmark dataset and the difficulty of deciding which semantic segmentation model to use. We present a comparative framework of sea-land segmentation to Landsat-8 OLI imagery via semantic segmentation in deep learning techniques. Three issues are investigated: (1) constructing a sea-land benchmark dataset using Landsat-8 Operational Land Imager (OLI) imagery consisting of 18,000 km<sup>2</sup> of coastline around China; (2) evaluating the feasibility and performance of sea-land segmentation by comparing the accuracy assessment, time complexity, spatial complexity and stability of state-of-the-art DCNNs methods; (3) choosing the most suitable semantic segmentation model for sea-land segmentation in accordance with Akaike information criterion (AIC) and Bayesian information criterion (BIC) model selection. Results show that the average test accuracy achieves over 99% accuracy, and the mean Intersection over Unions (mean IoU) is above 92%. These findings demonstrate that the Fully Convolutional DenseNet (FC-DenseNet) performs better than other state-of-the-art methods in sea-land segmentation, based on both AIC and BIC. Considering training time efficiency, DeeplabV3+ performs better for sea-land segmentation. The sea-land segmentation benchmark dataset is available at: https://pan.baidu.com/s/1BlnHiltOLbLKe4TG8lZ5xg.
DOI: 10.6084/m9.figshare.19711698
title: Mitogen-activating protein kinase kinase kinase kinase-3, inhibited by Astragaloside IV through H3 lysine 4 monomethylation, promotes the progression of diabetic nephropathy by inducing apoptosis

description: Astragaloside IV (AS-IV) is a bioactive saponin extracted from the Astragalus root and has been reported to exert a protective effect on diabetic nephropathy (DN). However, the underlying mechanism remains unclear. Herein, we found that AS-IV treatment alleviated DN symptoms in DN mice accompanied by reduced metabolic parameters (body weight, urine microalbumin and creatinine, creatinine clearance, and serum urea nitrogen and creatinine), pathological changes, and apoptosis. Epigenetic histone modifications are closely related to diabetes and its complications, including H3 lysine 4 monomethylation (H3K4me1, a promoter of gene transcription). A ChIP-seq assay was conducted to identify the genes regulated by H3K4me1 in DN mice after AS-IV treatment and followed by a Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. The results showed that there were 16 common genes targeted by H3K4me1 in normal and AS-IV-treated DN mice, 1148 genes were targeted by H3K4me1 only in DN mice. From the 1148 genes, we screened mitogen-activating protein kinase kinase kinase kinase-3 (MAP4K3) for the verification of gene expression and functional study. The results showed that MAP4K3 was significantly increased in DN mice and high glucose (HG)-treated NRK-52E cells, which was reversed by AS-IV. MAP4K3 silencing reduced the apoptosis of NRK-52E cells under HG condition, as evidenced by decreased cleaved caspase 3 and Bax (pro-apoptotic factors), and increased Bcl-2 and Bcl-xl (anti-apoptotic factors). Collectively, AS-IV may downregulate MAP4K3 expression by regulating H3K4me1 binding and further reducing apoptosis, which may be one of the potential mechanisms that AS-IV plays a protective effect on DN.
DOI: 10.5281/zenodo.10670566
title: A Systematic Mapping Study on Software Containers Risks and Vulnerabilities-List of Primary Studies
DOI: 10.5281/zenodo.10670567
title: A Systematic Mapping Study on Software Containers Risks and Vulnerabilities-List of Primary Studies
DOI: 10.6084/m9.figshare.16566336
title: Sulfur isotopic signature of Earth established by planetesimal volatile evaporation

description: All new data associated with the paper entitled "Sulfur isotopic signature of Earth established by planetesimal volatile evaporation.