HelioWebValerie Hendrix
flowchart
A[Valerie Hendrix]
AC["Associated Concepts (17)"]
AW["Authored Works (15)"]
CA["Linked Co-Authors (28)"]
CI["Linked Collaborating Institutions (10)"]
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"
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NO["add outgoing edge"]
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click NI "#add-incoming-edge"
click NO "#add-outgoing-edge"
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- ORCiD
- https://orcid.org/0000-0001-9061-8952
- OpenAlex ID
- https://openalex.org/A5076780371 (API record)
Associated Concepts [?]
- Computer science
- Data science
- Operating system
- World Wide Web
- Database
- Engineering
- Biology
- Geology
- Geography
- Economics
- Programming language
- Physics
- Political science
- Law
- Environmental science
- Ecology
- Paleontology
Authored Works
sorted by decreasing year, and then by display-name
- Sample tracking and synthesis needs for exploring ecosystem response to climate and environmental disturbance
- Community-developed (meta)data reporting formats to enable data reuse in environmental repositories
- Classical Machine Learning for Widespread Stream Temperature Predictions: Demonstrations in the Pacific Northwest and Mid Atlantic Regions
- BASIN-3D: Data Synthesis Software for Earth Science Researchers
- A Workflow for (Meta)data Collection in Experimental Watersheds and Field Observatories
- A FAIR Guided and Community-Oriented Approach to Improving Metadata Quality in a Large Scale Data Repository
- Predicting Stream Temperature Across Spatial Scales With Low Complexity ML
- Investigating the Impacts of Climate-driven Disturbances on River Water Quality using Machine Learning and Statistical Modeling Approaches
- Impact of Floods on Salinity Levels in Freshwater Ecosystems
- Fundamentals for Collaborating on Research Projects Using GitHub
- Fostering Growth in the ESS-DIVE Data Repository
- FAIR Dataset Metadata: An Analysis of Requirements across Environmental Science Data Repositories
- Data-Model Integration and Machine Learning Approaches for Hydrobiogeochemical Modeling Applications
- Community Engagement Efforts to Encourage and Incentivize Data Archiving in the Environmental System Sciences Community
- Community Data Standards for More Reusable Data in Earth and Environmental Science
Linked Co-Authors
- Amy Goldman
- Ben Bond‐Lamberty
- Bhavna Arora
- Boris Faybishenko
- Charuleka Varadharajan
- D. Agarwal
- Danielle Christianson
- Dylan O'Ryan
- Elisha M. Wood‐Charlson
- Emily Robles
- Eoin L. Brodie
- Fianna O’Brien
- Helen Weierbach
- James C. Stegen
- Jared Willard
- Jessica Welch
- Joan E. Ball-Damerow
- Kim Ely
- Kristin Boye
- Maegen Simmonds
- Matthew B. Jones
- Mohammed Ombadi
- Pamela Weisenhorn
- Peter Slaughter
- Ricardo J. Eloy Alves
- Robert Crystal‐Ornelas
- Roelof Versteeg
- Stephanie C. Pennington
Linked Collaborating Institutions
- Argonne National Laboratory, Illinois
- Brookhaven National Laboratory, New York
- Colorado State University
- Lawrence Berkeley National Laboratory, California
- Lawrence Livermore National Laboratory, California
- Oak Ridge National Laboratory, Tennessee
- Pacific Northwest National Laboratory
- University of California, Santa Barbara
- University of Minnesota, Twin Cities
- Virginia Commonwealth University
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