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Aedes mosquitoes are one of the mosquito genus a large impact on humans that it is the main vector of deadly infectious diseases such as microcephaly. Aedes koreicus is a mosquito, endemic to east Asia, including Korea, Japan and China. According to the available research about its native range, Ae. koreicus is able to tolerate winter temperatures lower than Ae. Albopictus and Ae. japonicus. Therefore, this species has rapidly expanded outside its native range and invaded Europe.
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Mitogenome sequences assembled using raw data for two Malaysian Hippocampus kuda (HK1 and HK2). Genomic DNA was extracted using Qiagen Blood and Tissue Kit (Qiagen, Valencia, CA) following the manufacturer’s instructions. All libraries were prepared using BEST protocol as described in Mak et al., (2017) and were sequenced on an BGISEQ-500 platform (100PE). Raw sequence reads were assembled into individual mitogenome sequence using the MITOBIM v1.8 (reference genome assembly) pipelines. Mitogenome mapping quality was assessed using PALEOMIX and further annotated using MitoAnnotator and GB2sequin annotation web application. The mitogenome data is available in Genbank with the accession numbers MT221436 and MT221436.
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Here we share our research data including four-stage Global Positioning System (GPS) results and the earthquake catalogue.
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Dataset for the WTI oil price, global WTI oil production, CISS, and the Kilian Index
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All the data was abtained under the support of the National Science Foundation of China (Grand No: 41430317, 41402136) and the Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology) (Grand No: 2019-009). The data file from mercury intrusion method is named by "data of MIP", the data file from N2 and CO2 adsorption tests was entitled "data of N2 adsorption" and "data of CO2 adsorption", and the data file from permeability test is named by "20160910". The data listed here can be cited and interpreted for researching.
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The simulation program for the paper: Robust control of desalination plants using sliding mode control synthesis with observer
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This is a data set of 4,335,880 public posts published in Instagram, in the New York City area for 190 days.
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More than 200 gravity reading points along two profiles at location 1 and 2 were carried out perpendicular to the main traces of the fault in west-east profiles. The detail needed with separation between stations was 5 m. The 2D ERT data were collected along two profiles. The dipole-dipole array configuration was used with electrode spacing 3 and 5 m and the length is 141 and 235 m respectively. The 3D ERT data were collected along two profiles. The pole-pole array configuration was used with electrode and line spacing at 5 m respectively. The survey area was 115X15 m.
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The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
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This data set contains all data used to build the urban ecosystem service model for predicting the the PM2.5 removal service in Beijing under three policy scenarios by 2035. It has two parts: (1) python script of the entire model and associated data including attribute data of sociaoeconomic status and TIFF files of land use change restirctions; (2) testing data and simulation results including TIFF files of LAI, land use distribution, PM2.5 concentration, wind speed.
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