The landscape metrics are useful for cross-city comparisons at regional, national and global levels in combination with other complementary indicators. The datasets are valuable for urban planners, urban ecologists, NGO's, decision makers and other with interest on local and global landscape change in urban areas, particularly urban expansion and its impacts.This paper presents five publicly available datasets (I through V) of which two are interactive and visual tools (a Tableau Dashboard and an Interactive Map).  https://www.selleckchem.com/products/AZD2281(Olaparib).html  These five datasets were extracted from 115 literature sources on the daylighting of streams that were published between 1992 and 2018. Dataset I consist of 19 variables that combine two types of data extracted from these sources ten manifest variables (indisputable, obvious, factual) and nine variables extracted from the sources' latent content (indirect, hence, based on careful reading of the sources' contents). Manifest variables include, among others, authors' names and affiliations, authorship location, and publication year. Latent variables include primarily the literature sources' underlying themes and their sub-themes (sub-categories), the daylighting case studies/projects discussed, and the geographic coverage or scope addressed in the literature sources. Datasets II identifies 16 literature sources that delve into the climate change adaptation and/or mitigation theme and reveal how it was tackled vis-à-vis the other themes/sub-themes. Dataset III identifies and provides detailed information on the 145 different stream daylighting case studies/projects mentioned in the literature's sources, such as each project's location, daylighted length, completion date, cost, and type of treatment. Dataset IV is a Tableau Dashboard that offers interactive analytical querying in the form of relational analyses and data visualization while Dataset V is an Interactive Map created in Google My Map that maps the 145 stream daylighting case studies/projects mentioned in the literature sources over and provides a synopsis on each based on the literature's contents. The combination of these five datasets and their diversity in type and presentation yields a comprehensive, global, and unique repository of information on the daylighting of urban streams for all types of audiences (academic, professional, and laypeople).H3K4me3 is typically found in the promoter region of genes and is a mark associated with an open chromatin state and active gene transcription. Nonetheless, the role of H3K4me3 in the regulation of transcription is still debated. To improve the understanding of the connection between H3K4me3 density in promoters and gene expression, we assessed the correlation between these two parameters. We utilized genome-wide high-throughput RNA sequencing (RNA-seq) data and H3K4me3-based chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq), carried out on the same samples of the prefrontal cortex from 10 male C57Bl6 mice with different stress experience [Social defeat stress in adult mice causes alterations in gene expression, alternative splicing, and the epigenetic landscape of H3K4me3 in the prefrontal cortex an impact of early-life stress, 1]. In addition, we assessed the correlation between H3K4me3 density and gene expression in datasets of cell-specific genes. Altogether, the results are useful for the elucidation of H3K4me3 involvement in the regulation of transcription in the murine prefrontal cortex.In the related research article, entitled "A generic process modeling ‒ LCA approach for UF membrane fabrication Application to cellulose acetate membranes" [1], a generic model is described and used to obtain the list of material and energy flows as a function of operating conditions for ultrafiltration (UF) hollow fibers preparation by non-solvent induced phase separation. In this data article, equations of the model, a dataset of model parameters and modelled data are detailed. modeling equations are developed from material and energy balances for each unit operation (i.e. from polymer solution mixing to module conditioning) based on an industrial membrane fabrication process of UF cellulose acetate modules. These equations may be reused as such or adapted to other membrane materials and industrial practices. The dataset of model parameters relates to industrial on-site measurements and scientific literature for the existing cellulose-based module. The modelled data corresponds to a reference situation for which hollow fibers (inner and outer diameters equal to 0.93 mm and 1.67 mm, respectively) are fabricated from a polymer solution composition of 20 wt.% of cellulose triacetate, 78 wt.% N-methyl-2-pyrrolidone and 2 wt.% lithium chloride.Recent studies have sought to explore the relationship between environmental and financial performance, in particular the relationship between the energy efficiency level of a building and its financial value. The present real estate dataset contains 43 variables of repeat sales transactions, energy performance certificate (EPC) rating, index of multiple deprivation (IMD), and geographical location of properties in England and Wales involved in a total of 4,201 transactions from 1995 to 2012. This dataset enables researchers and practitioners to further explore important questions regarding the nexus between the real estate industry, sustainability levels, and socio-economic aspects. Due to the scarcity of publicly available quality real estate data, the dataset detailed in this article may play a relevant role by becoming easily discoverable, clearly explained, and structured to be ready to be used by researchers, analysts, and policymakers. The empirical analysis of the economic case for energy-efficient dwellings in the UK private rental market performed in Fuerst, et al. [1] is based on this dataset.This paper contains a dataset and spreadsheet with the inventory, calculations and results for the Life Cycle Assessment of PET (polyethylene terephthalate) bottle waste management options in Bauru, Brazil. Data for the Life Cycle Inventory (LCI) was collected in situ at sorting cooperatives, through interviews with municipal authorities, and through literature review. Data analysis was performed using the SimaPro v8.0 software for assessment of environmental impacts, using the ReCiPe midpoint hierarchical method. The data and results contained in the spreadsheet are divided as follows worksheet 1 provides a title page with the reference to this article; worksheet 2 provides the impact values for the impact categories considered; worksheet 3 presents the impact values for all collection and transportation fleets; worksheets 4 to 7 provide the impacts for each process and each stage (operation, emissions, and construction) for the case where waste PET is disposed of in a landfill and the treated sludge is composted (worksheet 4); waste PET is incinerated (worksheet 5); waste PET is sent to sorting cooperatives and the reject is landfilled (worksheet 6); waste PET is sent to sorting cooperatives and the reject is incinerated (worksheet 7); worksheets 8 to 16 contain the impacts for each stage and the total impact for scenarios 1 to 9, which are combinations of the processes presented in worksheets 4 to 7, and the collection and transportation calculations for each scenario; worksheet 17 presents a summary of the net impact and the impact for each stage for all scenarios and all impact categories considered; worksheet 18 contains the impacts for each process and each stage for the case where waste PET is disposed of in a landfill, and the treated sludge is landfilled.