Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Econometric Views (EViews)01:29

Econometric Views (EViews)

708
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
708
Precipitation Gravimetry01:03

Precipitation Gravimetry

12.8K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
12.8K
Time-Series Graph00:54

Time-Series Graph

3.8K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
3.8K
Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

1.5K
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Expanding the PHES-ODM: A Comprehensive, Open-Source Data Model for the Future of Wastewater-Based Epidemiology.

Microorganisms·2026
Same author

Design considerations for a Digital Twin built to improve nitrification performance at a water resource recovery facility.

Water science and technology : a journal of the International Association on Water Pollution Research·2025
Same author

Combining Short- and Long-Read Sequencing Technologies to Identify SARS-CoV-2 Variants in Wastewater.

Viruses·2024
Same author

Towards a modelling framework for nature-based solutions in wastewater treatment.

Water science and technology : a journal of the International Association on Water Pollution Research·2024
Same author

Towards good modelling practice for parallel hybrid models for wastewater treatment processes.

Water science and technology : a journal of the International Association on Water Pollution Research·2024
Same author

A comprehensive, open-source data model for wastewater-based epidemiology.

Water science and technology : a journal of the International Association on Water Pollution Research·2024

Related Experiment Video

Updated: May 1, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.5K

metEAUdata: a framework for automatic metadata generation for environmental time series preprocessing.

Jean-David Therrien1, Peter A Vanrolleghem2

  • 1modelEAU, Département de génie civil et de génie des eaux, Université Laval, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|April 30, 2026
PubMed
Summary
This summary is machine-generated.

Water facilities produce time series data, but pre-processing often loses crucial metadata. The metEAUdata framework automates metadata creation, ensuring data context and reusability for FAIR compliance.

Keywords:
data pipelinesdigitalisationmetadataopen-source softwarepreprocessing

More Related Videos

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.9K
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.2K

Related Experiment Videos

Last Updated: May 1, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

1.5K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.9K
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.2K

Area of Science:

  • Environmental Engineering
  • Data Science
  • Wastewater Treatment

Background:

  • Water resource recovery facilities generate vast amounts of time series data from supervisory control and data acquisition (SCADA) systems and process historians.
  • Essential data pre-processing steps like artifact removal, fault detection, smoothing, and aggregation often discard valuable metadata, compromising data context, traceability, and reusability.
  • Manual metadata reporting is difficult and time-consuming, especially given the iterative nature of data pre-processing.

Purpose of the Study:

  • To present metEAUdata, a novel framework designed to automate the creation and preservation of metadata during data pre-processing operations.
  • To enable seamless integration of metadata awareness into existing scientific libraries and pre-processing algorithms with minimal effort.
  • To facilitate the transition towards FAIR (Findable, Accessible, Interoperable, Reusable)-compliant time series data in the water sector.

Main Methods:

  • Development of metEAUdata, a lightweight framework with a simple interface for metadata-aware algorithm integration.
  • Implementation of wrapper functions to enable arbitrary algorithms to automatically generate and record metadata during pre-processing.
  • Focus on preserving both original metadata and descriptions of the pre-processing steps themselves.

Main Results:

  • metEAUdata successfully automates the creation of structured and extensive metadata for diverse pre-processing pipelines.
  • The framework allows existing scientific libraries to become metadata-aware with minimal code modification.
  • Demonstrated ability to maintain data context, traceability, and reusability throughout the pre-processing workflow.

Conclusions:

  • metEAUdata addresses the critical challenge of metadata loss in water resource recovery facility data pre-processing.
  • The framework promotes FAIR data principles by ensuring comprehensive metadata capture and preservation.
  • Automated metadata management via metEAUdata enhances the value and usability of time series data for analysis and decision-making.