Exact(3)
The method is based on i) the availability of a defined collection of phage-Abs binding to the epitopes of membrane proteins (i.e. the Membranome collection) and ii) the possibility of tagging every phage-Ab with a specific DNA tag sequence.
Baseline data collection is broken into two major components: (i) job specific data collection and (ii) task specific data collection (Additional file 3).
By saving the exit status to a file, bds-exec achieves two goals: (i) unified exit status collection and (ii) exit status logging.
Similar(57)
As a result, citizens will become important in two ways: (i) as data providers through the direct involvement of user communities in the data provision and collection process; and (ii) by solving consensus tasks, e.g., by collecting multiple assessments from citizens [ 75] and gathering information on the environment.
To investigate the evolution of taxonomic bias over time, we excluded i) occurrences without a collection year and ii) occurrences recorded during the last 10 years because of the lag between recording and integration in the GBIF database (S. Gaiji, pers. comm.).
The lead author under the academic tutelage of the other three authors collaboratively developed (i) the data source collection methods and ii) model development.
Each participant was provided with (i) two plastic containers (100 ml) with lid for urine and stool collection, respectively, and (ii) an adhesive tape (50 × 20 mm) and a microscope slide, all labelled with an individual identifier code.
To further increase the likelihood of full coverage, the strobe-sequencing run was performed using two different conditions: I) 45 min light period (continuous collection time); and II) (5 min light period, 10 min dark period), followed by (45 min light period, 10 min dark period).
In order to assess the treatability of slaughterhouse wastewater in an SBR, the real-life wastewater samples were collected from two different locations (i) the raw (untreated) wastewater from the main collection pit and (ii) the primary treated effluent from the inlet box of aeration basin.
The data-related concepts non-technical people need to understand fall into five buckets: (i) data generation, collection and storage, (ii) what data looks and feels like to data scientists and analysts, (iii) statistics intuition and common statistical pitfalls, (iv) model building, machine learning and AI, and (v) the ethics of data, big and small.
In comparison with that work, we have now extended the paper in the following aspects: (i) adding more introduction to the background of the research on bus journey data collection and analysis; (ii) including the necessary background knowledge about bus journey data preprocessing in Sect.
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