Notes

Single-Level Noninvasive Transforaminal Back Interbody Blend versus Anterior Lumbar Interbody Fusion along with Rear Instrumentation at L5/S1.
This article contains data on equipment failures at thirty-six centralized heating stations. In the process of operation of heating stations, the arising failures can lead to a significant decrease in air temperature in heated rooms. Data was obtained through the study of operational logs. When analyzing the data, we used the records of a five-year observation period (2012 to 2017) taking into account the preventive work that carried out annually as part of the preparation of equipment for use in winter conditions. Malfunctions of equipment elements, that arise during the operation of heat supply stations, have different meanings in qualitative and quantitative aspects. Different specialists of the same qualification may not represent the same quality characteristics of the same shortcomings. The presentation of faults in the form of sequences of numbers allows to formalize the analysis and reduce the influence of the subjective factor. Data on observations of equipment failures and restoration are the basis for determining the equipment reliability indicators at heat supply stations. The data can be used for repair planning, emergency services, financial planning and operational management focus. The obtained data are related to the research article "Monitoring of heating systems as a factor of energy safety of buildings" [1].The biodiesel production from waste soybean oil (using NaOH and KOH catalysts independently) was investigated in this study. The use of optimization tools (artificial neural network, ANN, and response surface methodology, RSM) for the modelling of the relationship between biodiesel yield and process parameters was carried out. The variables employed in the experimental design of biodiesel yields were methanol-oil mole ratio (6 - 12), catalyst concentration (0.7 - 1.7 wt/wt%), reaction temperature (48 - 62°C) and reaction time (50 - 90 min). Also, the usefulness of both the RSM and ANN tools in the accurate prediction of the regression models were revealed, with values of R-sq being 0.93 and 0.98 for RSM and ANN respectively.We present the first dataset that can be used to associate peoples' opinions with comprehensive biodiversity and cultural heritage values. The socio-ecological dataset includes 1) place-based information on peoples' recreational activities, values expressed as pleasant and unpleasant sites, and negative preferences concerning land use in terms of tourism, nature protection and forestry, and 2) compiled information on scored biodiversity values and protection level of sites. The data are organized in 1ha grid cells. The data were compiled from a rural nature-based tourism area in two municipalities northern Finland. Peoples' opinions were assessed using a public participation geographic information system (PPGIS) and the data were merged with spatial biodiversity data from the same area. The data are directly related to the article Tolvanen et al. [1]. Biodiversity data, also utilized in Tolvanen et al. 2020, were compiled from various sources and scoring was done in Kangas et al. [2]. References to individual respondents and spatial locations of markings were removed. The data are useful in evaluating the relationship between people's values and biodiversity.Satellite data provide the opportunity to explore different land surface properties, such as albedo (reflectivity) and forest structure, for multidisciplinary purposes. We estimated land surface black-sky albedo at shortwave, near-infrared and visible spectral regions at a fixed solar zenith angle (i.e., 38∘) during peak growing season in 2005 on a global scale. In addition, we estimated the links between albedo and forest structure variables including forest density [the number of trees/km2], tree cover [percent], and leaf area index [m2/m2] over pure forest pixels during peak growing season in 2005 on a global scale. We acquired and processed remotely sensed variables from moderate resolution imaging spectroradiometer (MODIS) and Landsat satellite images. This article provides 1) dataset of black-sky albedo at fixed solar zenith angle at a 1-km spatial resolution, 2) comparison between black-sky albedos at fixed solar zenith angle and local noon at a 1-km spatial resolution that are grouped based on forest types with the classes of evergreen needleleaf, evergreen broadleaf, deciduous needleleaf, deciduous broadleaf, mixed and woody savannah forests, and also the major biome zones including boreal, mediterranean, temperate and tropical region. 3) the links between black-sky albedo at fixed solar zenith angle and forest structure using generalized additive models at a 0.5-degree spatial resolution during peak growing season in 2005. The pre-processing steps to enhance the accuracy of these datasets include (1) identifying pure forest pixels, (2) excluding high slope pixels and those covered partially by water in the albedo product using high spatial resolution water (i.e., 30-m spatial resolution) and slope (i.e., 90-m spatial resolution) masks, and (3) using the most recent collection (collection 6) of MODIS satellite images. More details and interpretations of these datasets can be found in Alibakhshi et al. (2020) [1].The article includes raw and analyzed data directly related to the research paper entitled "Non-forested vs forest environments the effect of habitat conditions on host tree parameters and the occurrence of associated epiphytic lichens" [1]. These data concern the relationships between the composition of lichen communities and host-tree parameters in non-forested area and a natural lowland deciduous forest in northern Poland. Lichen species confined to non-forested area, associated with forest habitat, and non-specific mutual species occurring in both habitat types are listed together with their host-tree preferences. Data on the phenotypic variability of five common and native to Central Europe tree species in relation to the habitat type are provided. Data that concerns tree parameters are analyzed by the mixed model ANOVA and Principal Component Analysis. Additionally, sample rarefactions and indices of potential lichen species richness for both habitat types are included. Presented data could be used in further studies to compare epiphytic community structure and may be support for campaigns aimed at lichen conservation and at shaping the environment with concern for biodiversity.Cerebrospinal fluid (CSF) is a biofluid in direct contact with the brain and as such constitutes a sample of choice in neurological disorder research, including neurodegenerative diseases such as Alzheimer or Parkinson. Human CSF has still been less studied using proteomic technologies compared to other biological fluids such as blood plasma or serum. In this work, a pool of "normal" human CSF samples was analysed using a shotgun proteomic workflow that combined removal of highly abundant proteins by immunoaffinity depletion and isoelectric focussing fractionation of tryptic peptides to alleviate the complexity of the biofluid. The resulting 24 fractions were analysed using liquid chromatography coupled to a high-resolution and high-accuracy timsTOF Pro mass spectrometer. This state-of-the-art mass spectrometry-based proteomic workflow allowed the identification of 3'174 proteins in CSF. The dataset reported herein completes the pool of the most comprehensive human CSF proteomes obtained so far. An overview of the identified proteins is provided based on gene ontology annotation. Mass and tandem mass spectra are made available as a possible starting point for further studies exploring the human CSF proteome.This data can serve as a reference for other next-generation sequencing (NGS) of the cerebrospinal fluid (CSF). In the related research article, entitled "Next-Generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Neurocysticercosis", we reported NGS of the CSF might be an auxiliary method for neurocysticercosis (NCC) patients who have complicated manifestations and courses to receive early diagnosis and treatment. In this article, we retrieved the available data about the sequencing statistics of the CSF samples and the number of unique reads and genomic coverage aligning to microorganic sequences. The data were generated by the Illumina MiniSeq system for sequencing and computational subtraction of the human host sequences was performed. Finally, the remaining sequencing data were aligned to the Microbial Genome Databases. This data can serve as a reference for other NGS of the CSF.Mopane worm samples, obtained from different districts of the Limpopo Province of South Africa between April and July 2018, were investigated for the incidence of microbial flora. Over a period of ten weeks, samples consisting of market-obtained, field-prepared and sun- dried worms, were evaluated. It was revealed that after cooking at 89- 93°C, the microbial population was reduced to less than 9 000 CFU/g. The most prominent microbial populations cultured after cooking were spore- formers. Field-processed worms had a microbial population of 4 × 104 -1 × 108 CFU/g. Bacteria and fungi isolated included Aspergillus niger, Enterobacter aglomerans, Escherichia coli, Micrococcus luteus and Penicillium sp. Total microbial population ranged between 4 × 105 and 3 × 105 CFU/g after cooking. Total bacterial count increased in the sun- dried worms from 3 × 105-4 × 105 CFU/g, while it decreased from 2.0 × 105-1.4 × 105 CFU/g after cooking. This data can be used to generate safety guidelines related to the processing of edible insects, such as mopane worms.This article introduces a dataset that presents the cultural values and practices of food consumption patterns in major urban communities in Indonesian cities. The data illustrate the cultural characteristics of urban residents' food consumption patterns based on social class categories. Data collection was conducted in five major Indonesian cities through face-to-face interviews with 710 respondents identified using a stratified random sampling technique. The data show that culture has a dominant influence on the pattern of food consumption of urban communities in Indonesia in comparison with economic and health dimensions. Although the value and practice sub-dimensions are conceptually related, the cultural dimension of food consumption patterns in the five urban communities is more dominated by religious value than other cultural practices. Regarding food consumption patterns, urban upper classes are more dominantly influenced by economic dimensions and modern healthy lifestyles than cultural dimensions.Pre-treatment on banana slices is usually carried out to stop discolouration of the fruit by oxidative reactions, in raw presentation of the fruit especially in fruit salads. Drying is an old long preservation method for fruits and vegetables. In drying banana fruit, discolorations do occur and an attempt to stop the discoloration while maintaining quality (shelf life) is studied in this work. click here Dataset presented here, is on the effect of different pretreatment on the proximate analysis, microbial and sensory evaluation of dried banana during its storage. The pre-treatment methods considered in this work, were lemon juice and carbonated lemon drink while the control had no pre-treatment on the slices before drying. Proximate analysis and water activity of raw and dried samples were carried out while the microbial and sensory evaluation changes were observed in the samples over one month period.
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