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      Data and scripts underlying the publication: Restoration of biogeomorphic systems by creating windows of opportunity to support natural establishment processes

      Creators
      Fivash, Gregory S.
      Temmink, R.J.M.
      D'Angelo, M.
      Dalen, J. Van
      Lengkeek, W.
      Didderen, K.
      Ballio, F.
      Heide, T. van der
      Bouma, T.J
      Date of Archiving
      2021
      Archive
      4TU
      DOI
      http://dx.doi.org/10.1002/eap.2333
      Related publications
      Restoration of biogeomorphic systems by creating windows of opportunity to support natural establishment processes  
      Publication type
      Dataset
      Access level
      Open access
      Please use this identifier to cite or link to this item: https://hdl.handle.net/2066/239462   https://hdl.handle.net/2066/239462
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      Organization
      Aquatic Ecology and Environmental Biology
      Audience(s)
      Biology
      Key words
      biogeomorphic systems; windows of opportunity; salt marshes; natural establishment; micro-topography; restoration
      Abstract
      Dataset posted on 12.01.2021, 09:22 by G.S. (Gregory) Fivash, Ralph Temmink, Manuel D’Angelo, Jeroen van Dalen, Wouter Lengkeek, Karin Didderen, Francesco Ballio, Tjisse van der Heide, Tjeerd Bouma Data & Scripts featured in Fivash et al. 2020, ‘Restoration of biogeomorphic systems by creating windows of opportunity to support natural establishment processes’ in Ecological Applications. These files include the raw data and scripts used to create each figure in the manuscript, organized as follows: 1. Observational survey a. Laser scan i. Raw point cloud ii. Water level time-series iii. Classified point cloud iv. Rasters b. Ground-truthing 2. Flume study a. Hydrodynamic experiment b. Seed-retention experiment 3. Field experiment a. Sediment level b. Natural establishment c. Site characterization i. Hydrodynamic data from pressure loggers ii. Sediment characteristics 4. Data description For a complete description, see 'Data descript.docx'
      This item appears in the following Collection(s)
      • Datasets [1441]
      • Faculty of Science [33997]
       
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