fixing abstract

papers/valentina_staneva/main.md

@@ -2,8 +2,7 @@
 # Ensure that this title is the same as the one in `myst.yml`
 title: "echodataflow: Configurable, Reproducible, and Scalable Fisheries Acoustics Workflows with Prefect"
 abstract: |
-With the influx of large data from multiple instruments and experiments, scientists are wrangling complex data pipelines that are context-dependent and non-reproducible. We demonstrate how we leverage Prefect, a modern orchestration framework, to facilitate fisheries acoustics data processing. We built a Python package `echodataflow` which 1) wraps common echosounder data processing steps in a few lines of code; 2) allows users to specify workflows and their parameters through editing text “recipes” which provide transparency and reproducibility of the pipelines; 3) supports scaling of the workflows while abstracting the computational infrastructure; 4) provides monitoring and logging of the workflow progress. Under the hood, echodataflow uses Prefect to execute the workflows while providing a domain-friendly interface to facilitate diverse fisheries acoustics use cases. We demonstrate the features through a typical ship survey data processing pipeline. 
-
+  With the influx of large data from multiple instruments and experiments, scientists are wrangling complex data pipelines that are context-dependent and non-reproducible. We demonstrate how we leverage Prefect, a modern orchestration framework, to facilitate fisheries acoustics data processing. We built a Python package `echodataflow` which 1) wraps common echosounder data processing steps in a few lines of code; 2) allows users to specify workflows and their parameters through editing text “recipes” which provide transparency and reproducibility of the pipelines; 3) supports scaling of the workflows while abstracting the computational infrastructure; 4) provides monitoring and logging of the workflow progress. Under the hood, echodataflow uses Prefect to execute the workflows while providing a domain-friendly interface to facilitate diverse fisheries acoustics use cases. We demonstrate the features through a typical ship survey data processing pipeline. 
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 ## Fisheries Acoustics Workflows