Data underlying the figures in the publication “UV Light Generation and Challenging Photoreactions Enabled by Upconversion in Water”, published in J. Am. Chem. Soc. 2020, 142, 23, 10468–10476. https://pubs.acs.org/doi/10.1021/jacs.0c02835 Table of contents: 1. Figure 2; Excel file with the numerical values of the sensitizer characteristics displayed in Figure 2. Experimental data summarizing the pertinent ground- and excited-state properties of the Ir-based sensitizers (a, Ir(sCH₂ppy)ppy₂; b, Irsppy; c, IrFsppy; and d, IrdFsppy). 2. Figure 3; Excel file with the numerical values of the photophysical properties of the acceptors/annihilators under study (a, NDS; b, NPX) displayed in Figure 3. 3. Figure 4; Excel file with the numerical values of the spectroscopic investigations on the upconversion mechanism, displayed in Figure 4. 4. Figure 5; Excel file with the numerical values of the kinetics of the C-Br bond activation for the study of the reductive debromination, displayed in Figure 5.

Data underlying the figures in the publication “UV Light Generation and Challenging Photoreactions Enabled by Upconversion in Water”, published in J. Am. Chem. Soc. 2020, 142, 23, 10468–10476. https://pubs.acs.org/doi/10.1021/jacs.0c02835 Table of contents: 1. Figure 2; Excel file with the numerical values of the sensitizer characteristics displayed in Figure 2. Experimental data summarizing the pertinent ground- and excited-state properties of the Ir-based sensitizers (a, Ir(sCH₂ppy)ppy₂; b, Irsppy; c, IrFsppy; and d, IrdFsppy). 2. Figure 3; Excel file with the numerical values of the photophysical properties of the acceptors/annihilators under study (a, NDS; b, NPX) displayed in Figure 3. 3. Figure 4; Excel file with the numerical values of the spectroscopic investigations on the upconversion mechanism, displayed in Figure 4. 4. Figure 5; Excel file with the numerical values of the kinetics of the C-Br bond activation for the study of the reductive debromination, displayed in Figure 5.

The experimental study on permeability characteristics for raw coal under different stress state is implemented by applying the triaxial self-made "THM coupled with servo-controlled seepage apparatus for containing-gas coal", the result indicates: The flow rate of coal sample gradually decreases with the nonlinear loading of axial pressure and increases with the nonlinear unloading of axial stress and confining pressure. The flow rate, axial stress and confining pressure curves all satisfy the negative exponential function relation. When the sample reaches the peak intensity, the sample will be destroyed and the stress will drop rapidly, then the flow rate of the sample will increase rapidly. At this stage, the flow rate and axial strain show an oblique "v" pattern. The flow rate of coal sample increases nonlinear with the increase of gas pressure, the relation curve between flow rate and gas pressure satisfies power function relation. Under the condition of same confining pressure and gas pressure, the larger the axial stress is, the flow rate of coal sample will be smaller. Under the condition of same axial stress and gas pressure, as confining pressure decreases, the flow rate of coal sample will firstly decrease, but then increase. During the loading and unloading process post-peak, the flow rate of coal sample will decrease with the loading of confining pressure but increase with the unloading of confining pressure, and it will increase in wave shape with the increase of axial strain. The flow rate of each loading and unloading confining pressure is higher than that of the previous loading and unloading confining pressure. At the post-peak stage, the relation curve between the flow rate of coal sample and confining pressure satisfies the power function relation in the process of loading and unloading confining pressure.

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Comprehensive characterization of genomic variation in a human individual is important for understanding disease and for development of personalized approaches to treatment. Many tools exist for identification of single nucleotide polymorphism (snps), small indels and large deletions based on DNA re-sequencing strategy. However, those approaches consistently display significant bias for recovery of complex structural variants and novel sequence in the individual genomes and lack sequence interpretation such as ancestral state and mechanism. Here we present a novel approach implemented in a single software package, AsmVar, to discover, genotype and characterize different forms of structural variants and novel sequence in population-scale de novo assemblies at single nucleotide resolution. Our approach displays good scalability and makes it applicable for investigations in large population studies of species with complex genomes, such as homo sapiens. Application of AsmVar to several human de novo assemblies captures a wide spectrum of structural variants and novel sequences present in the human population with high sensitivity and specificity. Our method provides a direct solution to investigate the structural variations and novel sequences from de novo assemblies, which is important for construction of population-scale pan genome. Our study also suggests the advantages of the de novo assembly strategy for definition of genome structure.
This software has been released under the MIT License Copyright 2014-2015.

The human major histocompatibility complex (MHC) has been shown to be associated with numerous diseases. However, it remains a challenge to pinpoint causal variants of these associations due to the ex-treme complexity of the region. We thus sequenced the entire 5 Mb MHC region in 20,635 individuals of Han Chinese ethnicity (10,689 controls and 9,946 psoriasis patients) and constructed a Han-MHC da-tabase which included both variants and HLA gene typing results with high accuracy. We further identi-fied multiple independent novel susceptibility loci in HLA-C, HLA-B, HLA-DPB1, BTNL2 and an inter-genic variant, rs118178193 for psoriasis and confirmed the well-established susceptibility locus HLA-C*06:02. These discovered psoriasis-associated loci in MHC region were markedly different from those described in Caucasian population in a recent analysis and highlights the importance of generating population-specific MHC databases for studies of complex disease. We anticipate that our Han-MHC reference panel built by deep sequencing of a large number of samples will serve as a useful tool for investigating the role of the MHC region in a variety of diseases and thus advance our understanding of the pathogenesis of these disorders.

The giant panda (Ailuropoda melanoleuca) is considered a symbol of China and is a much loved animal all around the world. It is also one of the worlds most endangered species, making it a flagship species for conservation efforts. As the first fully sequenced Ursidae and the second fully sequenced carnivore after the dog, the whole genome sequence and annotation data provide an unparalleled amount of information to aid in understanding the genetic and biological underpinnings of this unique species, and will help contribute to disease control and conservation efforts.In 2008, BGI completed a first draft of the genome sequence of a three-year old female giant panda named Jingjing, who was used as a model for the 2008 Olympics in Beijing, China (doi: 10.1038/nature08696). Using second-generation Illumina GA sequencing data, the first de novo genome assembly was created using short-read sequencing technology. Here you will find the giant panda genome sequence assembly as well as annotation information, such as gene structure and function, non-coding RNAs, and repeat elements. Also presented are polymorphism information detected in the diploid genome, including SNPs, indels, and structural variations (SVs). The assembly was done using SOAPdenovo software and the panda genome data is visualized via MapView, which is powered by the Google Web Toolkit.

Here we present whole-genome resequencing data of 40 domesticated and wild silkworms (Bombyx). The domesticated silkworm (Bombyx mori) is of great economic interest and has been domesticated for more the 5,000 years. An organism with a mid-range genome size (~432 Mb), it often serves as a model insect for the order Lepidoptera. A number of wild varieties of silkworms exist as well, including the Chinese wild silkworm (Bombyx mandarina) from which the domesticated silkworm originated.Each of the silkworm varieties was sequenced to ~3X coverage, representing 99.88% of the genome. These sequences were then used to create a single-base pair resolution genetic variation map of the silkworm. SNP sets were obtained separately for the pool of 29 domesticated strains and the pool of 11 wild varieties. The number of SNPs in the domestic versus wild varieties was approximately 14 million and 13 million, respectively. In addition to SNPs, approximately 0.33 million small insertion-deletions (indels) and 35 thousand structural variants (SVs) were identified among the 40 varieties. Over three-fourths of the SVs overlapped with transposable elements.A total of 1,041 candidate regions Genomic Regions of Selective Signals (GROSS) were identified. These regions cover 12.5 Mb (2.9%) of the genome and may reflect genomic footprints left by artificial selection during domestication, as they include 354 protein-coding genes that were identified as good candidates for domestication genes.We observed that 159 genes from GROSS were expressed in on different B. mori tissues on day 3 of the fifth larval instar as a reference strain, and were enriched in tissues of silk gland, midgut, and testis. The genes expressed in silk gland are involved in the synthesis of silk proteins, including fibroin and sericin. Midgut-enriched genes are related to the metabolism of carbohydrates, amino acids and lipids. And genes enriched in the testis are annotated as having binding, catalytic, and motor activity related to reproduction.The reference genome for this project was the Japanese wild silkworm (NCBI Accession Number NC_003395).