Julia Perdrial

    flowchart
    A[Julia Perdrial]
    AC["Associated Concepts (25)"]
    AW["Authored Works (14)"]
    CA["Linked Co-Authors (16)"]
    CI["Linked Collaborating Institutions (13)"]
    A== dcterms:relation ==>AC
    AW== author ==>A
    AW== author ==>CA
    AW== affil ==>CI
    click AC "#associated-concepts"
    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

    NI["add incoming edge"]
    NO["add outgoing edge"]
    NI-- ? -->A
    A-- ? -->NO
    click NI "#add-incoming-edge"
    click NO "#add-outgoing-edge"
    style NI stroke-width:2px,stroke-dasharray: 5 5
    style NO stroke-width:2px,stroke-dasharray: 5 5

ORCiD

https://orcid.org/0000-0002-2581-9341

OpenAlex ID

https://openalex.org/A5041409879 (API record)

Associated Concepts [?]

• Biology
• Geology
• Environmental science
• Ecology
• Engineering
• Chemistry
• Physics
• Geotechnical engineering
• Hydrology (agriculture)
• Organic chemistry
• Geography
• Environmental chemistry
• Oceanography
• Computer science
• Geomorphology
• Paleontology
• Meteorology
• Materials science
• Soil science
• Dissolved organic carbon
• Cartography
• Soil water
• Quantum mechanics
• Drainage basin
• Surface runoff

Authored Works

sorted by decreasing year, and then by display-name

• Stream DOC and DIC Response to Climate and Acidification Disturbances at Sleepers River
• Rethinking the Origin of Counterclockwise DOM C-Q Hysteresis
• Peak Anomaly Detection using Critical Zone Time Series Data: Knowledge-Engineering and Deep-Learning
• Leveraging Catchment Attributes to Explain Patterns of Concentration-Discharge Relationships Across the Contiguous United States
• Equity, Diversity, and Community: Opportunities for Critical Zone Science and Education
• Drivers and pathways of carbon and nitrogen in soil and streams: insights from the Sleepers River Research Watershed in Vermont
• Climate Controls on River Chemistry
• Automated Machine Learning Approach to Supervised Anomaly Detection from Critical Zone Watershed Sensor-Generated Time Series Data
• Why Critical Zone (CZ) science needs team science: insights from the big data CZ network cluster
• The shallow and deep hypothesis: linking flow paths, biogeochemical reactions, and stream chemistry in the Critical Zone
• Stream chemistry response to external perturbations at Sleepers River
• Long-term Research and Monitoring at Sleepers River Research Watershed, Vermont USA
• Co-creating Collaborative and Transformative Educational Partnerships in Critical Zone Science
• Automated Cleaning of Multiple Time Series Data from the Sleepers Research River Watershed

Linked Co-Authors

• Adrian A. Harpold
• Claire Baffaut
• D. G. Chandler
• Dustin W. Kincaid
• E. C. Seybold
• Gary Sterle
• H. R. Barnard
• Hang Wen
• James W. Kirchner
• Jon Chorover
• Kevin A. Ryan
• Kristen L. Underwood
• Kumar Sadayappan
• Li Li
• Scott D. Hamshaw
• Stephen D. Sebestyen

Linked Collaborating Institutions

• Eidgenossische Technische Hochschule, Zurich, Switzerland
• Jackson State University
• Michigan Technological University
• Northeastern University, Massachusetts
• Oregon State University, Corvallis
• Pennsylvania State University
• Syracuse University, New York
• U.S. Department of Agriculture
• University of Arizona
• University of Colorado, Boulder
• University of Kansas
• University of Nevada, Reno
• University of Vermont

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.