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Adirondack Ecological Center
Research

The AEC is the site of many independently funded research programs and projects. These programs represent a broad spectrum of research, from basic to applied, encompassing themes such as changes to lake ecosystems, movement of soil ions, silvicultural regimes and carbon, predator-prey trophic interactions, and assessing recreation and biodiversity across the Adirondack Park. Approximately 200 graduate degrees stem from nearly a century of studies conducted at this site. Recent research cooperators include state agencies, U.S. Geological Survey, Clarkson University, and many other institutions.

In addition to providing support to graduate students, outside agencies and visiting scientists, the AEC has established an ecological monitoring system to record physical, chemical, and biological features on a long term basis. The Adirondack Long-Term Ecological Monitoring Program (ALTEMP) provides the long term perspective necessary to detect changes and identify trends in the Adirondack ecosystem.

Data Access Policy for Adirondack Ecological Center (AEC) Data Archive

Welcome to the Adirondack Ecological Center Data Archive. AEC requests that appropriate citation and acknowledgment be given for any use and/or publication of work derived from data sets downloaded from AEC web sites, scientists or staff.

Citing AEC Data

Data sets and metadata can be downloaded for research, educational, and other professional uses, subject to the following terms.

  • Include the AEC Research Organization Registry (ROR) ID when citing AEC data in maps, publications, projects, webinars, and other research products.
  • Use the dropdown menu in manuscript submission systems (e.g., Editorial Manager, ScholarOne) to find and select the AEC ROR.
  • For data and map/geospatial products, specify the AEC ROR ID directly in the metadata field.
  • Cite the specific dataset’s DOI where available.
  • Prior to publication submission, individuals and institutions utilizing data from the AEC Data Archive are asked to place the following acknowledgment in any publication, report, or electronic communication in which these data are used:
    "Data sets were provided by the Adirondack Ecological Center, State University of New York College of Environmental Science and Forestry."

Finding Published AEC Data

Several datasets are freely downloadable from the Environmental Data Initiative (EDI) repository; search for keywords such as "AEC," "Huntington Wildlife Forest," "ALTEMP," or "SUNY ESF," along with the topic of interest. Watershed science datasets involving meteorology, chemistry, nutrient cycling, hydrology, phenology and related parameters for Arbutus Lake and associated areas can be downloaded or explored at adk-ltm.org and described in Beier et al. (2021).  AEC physical and digital datasets are summarized in McNulty et al. (2022) and many publications are listed on our publications page.

Post-Publication

After publishing your work, send an electronic or paper copy of the article, report, or dataset to:

Stacy McNulty, Associate Director of Research
Adirondack Ecological Center of SUNY ESF, 6312 State Route 28N, Newcomb, NY 12852
[email protected]

More Information

  • Please use data for the stated purpose only.
  • Do not redistribute AEC data. All data requestors should contact AEC.
  • Although every effort has been made to provide the highest quality data, accuracy of data is not guaranteed. The AEC is not liable for any misuse of data sets.
  • Direct questions regarding methods, the interpretation of data or metadata, or the status of an ongoing project to the designated contact person for each data set, or if none, to [email protected]. 
  • The AEC encourages correspondence with the original investigator listed in the metadata section. Data originators may have corrections or modifications to their data and metadata or have sources of additional data. Full consent of the data originator ensures data integrity and provides potential opportunities for strengthened collaboration.
  • Include AEC’s Research Organization Registry ID in all publications, journal articles, datasets, projects, instruments, software, data management plans, and grants. The ROR is a Persistent Identifier (PID), similar to ORCID for people and DOI for research outputs.

References

  • Beier, C., Mills, J., McHale, P., Driscoll, C. T., & Mitchell, M. J. 2021. Long-term ecosystem monitoring at Huntington Forest: Integrating hydrology, biogeochemistry and climatic controls on watershed processes. Hydrological Processes, 35(8), e14328. https://doi.org/10.1002/hyp.14328 
  • McNulty, S., N. Karniski-Keglovits, C. L. Demers, M. J. Federice and C. T. Palmer.  2022.  Long-Term Observation of the Adirondack Ecosystem - Data from the SUNY ESF Newcomb Campus.  Adirondack Journal of Environmental Studies 25(1):121-135.  https://arches.union.edu/do/056938ce-e0df-42fd-bb29-da2cf9cd091f#page/110/mode/2up 

Date: 02/2026 SAM