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Data Science for Environmental Research

We use machine learning and statistical physics methods to tackle problems with large available datasets, and which involve a large number of interacting agents. Ongoing... read more

Packages
2

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Keywords

  • machine learning (2)
  • algae (1)
  • automatic classific... (1)
  • benchmark (1)
  • crustaceans (1)
  • deep learning (1)
  • ecotoxicology (1)
  • ensemble learning (1)
  • fish (1)
  • fish acute toxicity (1)

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Variables

  • EC50 (1)
  • fluorescence (1)
  • LC50 (1)
  • mortality (1)
  • none (1)
  • pH (1)
  • temperature (1)

Systems

  • lab (1)
  • lake (1)

Substances

  • (+)-(S)-Fluoxetine ... (1)
  • (+)-alpha-Pinene (I... (1)
  • (+)-Juvabione (InCh... (1)
  • (+)-Longicyclene (I... (1)
  • (+-)-4-Pentyn-2-ol ... (1)
  • (+-)-Indoxacarb (In... (1)
  • (+/-) -Fluoxetine (... (1)
  • (+/-)-3-Butyn-2-ol ... (1)
  • (+/-)-cis-Permethri... (1)
  • (+/-)-Oxychlordane ... (1)

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Taxa

  • Abramis brama (1)
  • Acanthopagrus schle... (1)
  • Achnanthes brevipes (1)
  • Achnanthidium minut... (1)
  • Acipenser brevirostrum (1)
  • Acipenser fulvescens (1)
  • Acipenser persicus (1)
  • Acipenser stellatus (1)
  • Acipenser transmont... (1)
  • Alosa sapidissima (1)

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  • Data Science for Environmental Research
    Data for: Deep Learning Classification of Lake Zooplankton

    Plankton are effective indicators of environmental change and ecosystem health in freshwater habitats, but collection of plankton data using manual microscopic methods is...
    • ZIP
  • Data Science for Environmental Research
    Data for: A Benchmark Dataset for Machine Learning in Ecotoxicology

    The publication provides and describes a clean and expert-curated benchmark dataset to be used for machine-learning-based research in ecotoxicology. The package contains several...
    • ZIP
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