Blomwestermann1457

Following the development of a database that was specifically designed to store value chain information, particularly for underutilised crops, this article describes the data that are currently stored in the database and accessible through its web portal. The data includes various datasets on utilisation status, agro-ecological requirements and season lengths, potential yield and nutritional composition of crops. The data are stored in the form of tables with fixed data elements (column attributes). This article outlines the standard procedures (SOPs) that were developed in-house for data collection, metadata creation and data curation. These processes were used to ensure the quality and reusability of the data that is made available publicly through the database interface. Various statistics and example visualisations are provided to demonstrate the significance of such data for developing solutions for sustainable agricultural diversification.Fusion genes can serve as actionable biomarkers for diagnosis, prognosis or therapeutic stratification in the clinic. Pathways associated with fusion genes identified in different pediatric cancers are compiled in this article. Fusion genes reported in each cancer were collected using the PubMed search option with the keywords 'fusion transcript', 'fusion gene,' 'chromosomal translocation,' or 'DNA translocation' along with the corresponding pediatric cancer type. Research articles that identified fusion genes using conventional Fluorescence in situ hybridization (FISH) or quantitative real-time polymerase chain reaction (RT-PCR) methods or high-throughput RNA or DNA sequencing were included. The collected fusion gene data were compiled for each cancer and analyzed to identify their functions related to cancer and associated pathways using Ingenuity Pathway Analysis (IPA) and ClueGO software programs. Similarities in associated pathways across different cancers were also analyzed using IPA to identify commonly affected genes and pathways. This value-added and functionally annotated dataset will be an excellent resource for pediatric cancer researchers and clinicians interested in exploring fusion genes in different cancers. This article is a companion article to 'Fusion genes as biomarkers in pediatric cancers A review of the current state and applicability in diagnostics and personalized therapy'[1].Blue mussels are a target species in contaminant monitoring regarding Polycyclic Aromatic Hydrocarbons (PAHs) in biota, and also used as an isotope baseline for trophic position assessment in other biota. The latter is crucial for calculating biomagnification potential of environmental contaminants. Compound Library high throughput This data set comprises long-term time series of PAHs (15 individual substances) in Baltic Sea blue mussels (Mytilus trossulus edulis) from Kvädöfjärden (collected from a depth of 5-10 m), a reference area along the Swedish coast in the Baltic Proper from 25 years during 1987-2016, and of stable isotopes in five individuals (2 cm mussels) per year during the time period 1981-2017. The data has been co-analysed with environmental (oceanographic) data in "The importance of adjusting contaminant concentrations using environmental data a retrospective study of 25 years data in Baltic blue mussels" published in Science of the Total Environment (https//doi.org/10.1016/j.scitotenv.2020.143913).The Guayas estuary is an ecologically and economically vital, large estuarine system located on the western coast of South America. A suite of ∼400 water samples was collected and analyzed to enable investigation of the sources of water types within this estuary, as well as environmental processes active within various portions of it. These samples were obtained at sites distributed across the major areas of the inner and outer portions of the estuary at the ends of consecutive dry (December/January) and rainy (May) seasons. At each site, Van Dorn bottles were lowered into the water from a boat (or bridge) and then triggered when they reached specified depths. When the Van Dorn bottles were brought back aboard the boat, aliquots of water from them were promptly sealed in glass containers for later analysis. These were transported to onshore laboratories where their salinities, and their oxygen (δ18O) and hydrogen (δ2H) isotopic compositions were measured. Established analytical procedures and standards were employed to obtain a robust set of resultant data. The samples, analyses, and data presented here support the associated research article, "Stable isotope evidence for the origins of waters in the Guayas estuary and Gulf of Guayaquil" [1], to which readers are referred for interpretation.This dataset collects the long-term dynamic durability test data and the polarization characterization test data used in our research article [1]. The dynamic durability test and the polarization characterization test of a single proton exchange membrane fuel cell (PEMFC) are all performed on the Greenlight 20 test station. The European harmonized test protocol is adapted to construct the fuel cell dynamic load test cycle (FC-DLC) used in this work. The overall durability test is composed of 3076 FC-DLC cycles, around 1008 h. To access the degradation information of the test fuel cell, the polarization characterization tests are performed periodically during the durability test. In this work, the characterizations were performed at time 0, 100, 200, 300, 400, 500, 600, 700, 800, 900, and 1000 h. During the test period, G20 test station records all measured data, includes the dynamic load durability test dataset and the polarization test dataset. The output voltage degradation trend as well as the polarization curves are plotted and described in this work. This dataset provides the possibilities to study the degradation phenomenon of fuel cell operating by dynamic load cycles, moreover, this dataset can be directly used to various prediction models build for fuel cells.The cartoon Fidgety Philip, the banner of Western-ADHD diagnosis, depicts a 'restless' child exhibiting hyperactive-behaviors with hyper-arousability and/or hypermotor-restlessness (H-behaviors) during sitting. To overcome the gaps between differential diagnostic considerations and modern computing methodologies, we have developed a non-interpretative, neutral pictogram-guided phenotyping language (PG-PL) for describing body-segment movements during sitting (Journal of Psychiatric Research). To develop the PG-PL, seven research assistants annotated three original Fidgety Philip cartoons. Their annotations were analyzed with descriptive statistics. To review the PG-PL's performance, the same seven research assistants annotated 12 snapshots with free hand annotations, followed by using the PG-PL, each time in randomized sequence and on two separate occasions. After achieving satisfactory inter-observer agreements, the PG-PL annotation software was used for reviewing videos where the same seven research assistants annotated 12 one-minute long video clips.