This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • Hubbard Brook Experimental Forest: Soil type prediction raster files
  • Fraser, Olivia L; USDA Forest Service Northern Research Station
    Gannon, John P; Virginia Tech, Forest Resources and Environmental Conservation
    Bailey, Scott W; Virginia Tech, Department of Forest Resources and Environmental Conservation
    McGuire, Kevin J; Virginia Tech,Forest Resources and Environmental Conservation
  • 2024-03-18
  • Fraser, O.L., J.P. Gannon, S.W. Bailey, and K.J. McGuire. 2024. Hubbard Brook Experimental Forest: Soil type prediction raster files ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • This dataset consists of raster files predicting spatial patterns in soils for the entire Hubbard Brook Experimental Forest. Eight soil units are used, following a hydropedologic approach, based on relationships between soil genetic horizon presence and thickness, and the frequency and depth of groundwater fluctuations. Nine raster files on a five-meter grid are presented, including one raster each showing the probability of presence of each of the eight soil units; the ninth raster represents the soil unit most likely to be present at each grid cell. The methods section of the metadata includes descriptions of the eight soil units and guidance for users of the model outputs.

    These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

  • N: 43.959      S: 43.914      E: -71.7022      W: -71.8062
  • knb-lter-hbr.380.1  (Uploaded 2024-03-18)  
  • View Full Metadata (57 views)
  • View Quality Report
  • Data Entities:
    1. prob_Bi_2024-02-21  (10.3 MiB; 4 downloads) 
    2. prob_Bh_2024-02-21  (10.3 MiB; 4 downloads) 
    3. prob_Bhs_2024-02-21  (10.0 MiB; 4 downloads) 
    4. prob_T_2024-02-21  (10.0 MiB; 4 downloads) 
    5. prob_O_2024-02-21  (10.3 MiB; 4 downloads) 
    6. prob_I_2024-02-21  (10.1 MiB; 4 downloads) 
    7. prob_H_2024-02-21  (10.0 MiB; 4 downloads) 
    8. prob_E_2024-02-21  (10.3 MiB; 4 downloads) 
    9. modelout2024-02-21  (962.9 KiB; 5 downloads) 
    10. SpatialSoilDistributionModel  (65.8 KiB; 9 downloads) 
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER

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