Notes

A deep mastering centered means for forecast regarding Chlamydomonas reinhardtii phosphorylation internet sites.
Lighting Cultural Heritage is a complex task light is necessary for the act of seeing, it can even enhance the visual experience [1,2], in addition proper lighting can significantly cut down energy consumptions [3], but on the same time it has detrimental effects on exhibits, especially daylight. In order to safeguard the exhibits from damages, national and international standards provide specific recommendations for exhibits' exposure, based on their photosensitivity category. These recommendations are the annual luminous exposure(LO) and the Maximum Illuminance Level (Emax), museums' curators have to verify that the display lighting conditions comply with the standards. Historical buildings are often converted into museums but, as their original purpose was different, the lighting conditions are often inadequate (e.g. too much uncontrolled daylight), therefore the lighting conditions' adequacy of the space should be assessed [4]. selleck products As the name suggest the annual luminous exposure requires an annual monitoringse of Calci", published on the Journal of Cultural Heritage [5].Bovine longissimus lumborum (LL) and psoas major (PM) muscles biopsy samples were collected from four carcasses (n = 4) at 45 min, 12 h, and 36 h postmortem from a commercial beef processing facility. Proteins present in the early postmortem LL and PM proteomes were identified and quantified using tandem mass tag (TMT) labelled, fractionated peptides coupled to liquid chromatography tandem mass spectrometry (LC-MS/MS). The data are supplied in this article and are related to "Tandem mass tag labeling to characterize muscle-specific proteome changes in beef during early postmortem period" by Zhai et al. [1].The present dataset provides data on the pharmaceutically active compounds (PhACs) concentrations measured in the Danube and the drinking water abstraction wells (DWAW) in the Budapest region. Grab samples were collected during five periods. One hundred and seven water samples from the Danube and ninety water samples from the relevant DWAWs were analyzed to quantify physical-chemical parameters, trace element concentrations, and one hundred and eleven PhACs, including pharmaceutical derivatives, illicit drugs, and alkaloids. The ion concentrations were measured using dual channel ion chromatography, spectrophotometric and titrimetric methods, and inductively coupled plasma mass spectrometry. PhACs concentrations were measured after solid-phase extraction applying supercritical fluid chromatography coupled with tandem mass spectrometry. Fifty-two PhACs were quantified in the Danube, and ten PhACs were present in >80% of the samples. Whereas thirty-two PhACs were quantified in the DWAWs. The present dataset is useful for further comparisons and meta-analyses.Vehicle classifications with different methods have been applied for many purposes. The data provided in this article is useful for classifying vehicle purposes following the Indonesia toll road tariffs. Indonesia toll road tariff regulations divide vehicles into five groups as follows, group-1, group-2, group-3, group-4, and group-5, respectively. Group-1 is a class of non-truck vehicles, while group-2 to group-5 are classes of truck vehicles. The non-truck class consists of the sedan, pick-up, minibus, bus, MPV, and SUV. Truck classes are grouped based on the number of truck's axles. Group-2 is a class of trucks with two axles, a group-3 truck with three axles, a group-4 truck with four axles, and a group-5 truck with five axles or more. The dataset is categorized into five classes accordingly, which are group-1, group-2, group-3, group-4, and group-5 images. The data made available in this article observes images of vehicles obtained using a smartphone camera. The vehicle images dataset incorporated with deep learning, transfer learning, fine-tuning, and the Residual Neural Network (ResNet) model can yield exceptional results in the classification of vehicles by the number of axles.Surfacewater overlay groundwater at the groundwater/surface water interface(GSI). Water and chemicals are continually exchanged via GSI. Surface water recharges the underlying aquifer and undergo significant changes in chemical composition before it discharges back into the stream or at the surface. Thus a sustainable management of water resource needs an insight in the water chemistry and seasonal variations. The hydrochemical dataset representing a total of 37 groundwater samples and 13 surface water samples has been collected from Kattumannarkoil taluk,India to identify the factors governing water chemistry of the region. Hence, the samples were collected during two different seasons summer (April 2015) and monsoon (September 2015) to broadly cover seasonal variation. The collected samples were analyzed for physical and chemical parameters. The physical parameters measured in the field are pH, electrical conductivity (EC), total dissolved solids (TDS). The chemical parameters analyzed in the laboratory are calcium (Ca2+), magnesium (Mg2+), sodium (Na+), potassium (K+), chloride (Cl-), bicarbonate (HCO3-), nitrate (NO3-), phosphate (PO4), sulfate (SO42+) and silica (H4SiO4). Furthermore, the results were processed using AquaChem software, Geographical information system (GIS), multivariate statistical techniques and a computer program WATCLAST written in C++. This hydrochemical dataset ascertain the utility purpose of water. The dataset can serve as a guide for hydrogeochemistry of other predominantly agricultural area that share similar geological characteristics. The raw data of this research work is hosted in the mendeley repository [1].We present a multibeam bathymetry dataset from eastern part of the Canary Basin and from the Kane Gap located north and south of the Cape Verde Islands, respectively. Special attention was paid to the deep-water Kane Gap between Sierra Leone Rise and Guinea Plateau. The Kane Gap is the only possible gateway that allows the exchange of Antarctic Bottom Water between the Sierra Leone and Gambia Basins. Bathymetry surveys were carried out during the 44th cruise of the Research Vessel (R/V) "Akademik Nikolaj Strakhov" in October 2019. The data were collected using the system RESON SeaBat 7150 (12.5 kHz) and processed using QINSy software. The multibeam bathymetry data are presented in tabular format (ASCII (*.txt)) and as digital elevation models in ESRI ASCII grid (*.asc) and GeoTIFF raster (*.tif) formats with a resolution of 100 m. The dataset is available with the article.
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