This readme.txt file was generated on 20210720 by Brian G Sockness ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset An Experimental Study of Drainage Network Development by Surface and Subsurface Flow in Low-Gradient Landscapes Raster Datasets 2. Author Information Principal Investigator Contact Information Name: Brian G Sockness Institution: University of Minnesota - Duluth Address: 1049 University Dr, Duluth, MN 55812 Email: sockn003@d.umn.edu Associate or Co-investigator Contact Information Name: Karen B Gran Institution: University of Minnesota - Duluth Address: 1049 University Dr, Duluth, MN 55812 Email: kgran@d.umn.edu 3. Date of data collection: 20180801 to 20201201 4. Geographic location of data collection: University of Minnesota - Duluth 5. Information about funding sources that supported the collection of the data: National Science Foundation EAR-1656969 -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Public Domain 2. Links to publications that cite or use the data: Sockness, Brian. (2020). An Experimental Study of Drainage Network Development by Surface and Subsurface Flow in Low-Gradient Landscapes. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/213050. 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? No 6. Recommended citation for the data: Sockness, Brian G.; Gran, Karen B. (2021). An Experimental Study of Drainage Network Development by Surface and Subsurface Flow in Low-Gradient Landscapes Raster Datasets. Retrieved from the Data Repository for the University of Minnesota. https://hdl.handle.net/11299/224734 --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A-F. Filenames: Run 1.zip, Run 2.zip, Run 3.zip, Run 4.zip, Run 5.zip, and Run 6.zip Short description: Each zip contains TIFF and JPEG files for elevation data collected during the respective run of the model. The file names correspond to the time step at which elevation data were captured (e.g., data captured at the two hour time step is named “Hour_2.tif” or "Hour_2.jpg"). Each TIFF time step file has several auxiliary TIFF files. Auxiliary files store statistical information for the raster dataset if it cannot be stored internally, including .tfw (projection), .tif.aux.xml (transformation metadata), and .tif.ovr (a resampled lower resolution image used by ArcGIS to display the raster more quickly) For JPEG files, an elevation color ramp scale bar in meters is located at the bottom left corner of each image. Please note that elevation datums were not consistent between experimental runs and thus these raw data had to be post-processed before analyses were undertaken. G. Filename: Elevation_Map_Package.ppkx Short description: ArcGIS Map Package files may be opened using ESRI ArcGIS software (e.g., ArcGIS Pro). The Map Package file contains geodatabases of experimental run elevations and analysis data. The “Elevation” map shows raw elevation data with a layer group for each experimental run. The "NCA (Non-Contributing Area)" map shows non-contributing area delineations with a layer group for each experimental run. The "CA (Contributing Area)" map shows contributing area delineations with a layer group for each experimental run. The "Relief and Slope Classification" map shows "High" and "Low" slope and relief classification data with a layer group for each experimental run. The "Channel Type" map shows either "Overland Flow" or "Seepage Erosion" watershed classifications with a layer group for each experimental run. The layers correspond to the time step at which a lidar scan was captured (e.g., data captured at the two hour time step has the layer name “Hour 2”). Please note that elevation datums were not consistent between experimental runs and thus these raw data had to be post-processed before analyses were undertaken. 2. Relationship between files: Individual .zip files contain raw elevation data or imagery from a single, independent experimental run. The Map Package ("Elevation_Map_Package.ppkx") contains a data and maps for all six experimental runs. 3. Additional related data collected that was not included in the current data package: NA 4. Are there multiple versions of the dataset? yes/no No -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Experimental design and procedures used in data collection are described by Sockness (2020) available at: https://hdl.handle.net/11299/213050 2. Methods for processing the data: 3D Point cloud elevation data were converted to raster cells using inverse distance weighting interpolation of measurement points spaced approximately two millimeters apart. The interpolated raster cells have a resolution of four square millimeters. A complete description of data processing is described by Sockness (2020) available at: https://hdl.handle.net/11299/213050. 3. Instrument- or software-specific information needed to interpret the data: Point cloud data were captured using a FARO Focus3D terrestrial laser scanner. A description of the experimental apparatus is provided by Sockness (2020) available at: https://hdl.handle.net/11299/213050. ESRI ArcGIS Pro is required for viewing the ArcGIS Map Package data. The files were generated using ArcGIS Pro version 2.8.3. 4. Standards and calibration information, if appropriate: The FARO Focus3D terrestrial laser scanner had an approximate ranging error of ± 0.002 meters. 5. Environmental/experimental conditions: All data were captured in an indoor laboratory setting. 6. Describe any quality-assurance procedures performed on the data: Vertical and horizontal alignment of each scan was corrected and verified using CloudCompare software, an open source 3D point cloud and mesh processing software. 7. People involved with sample collection, processing, analysis and/or submission: All data collection, processing, and analysis were completed by Brian Sockness. Template provided by the University of Minnesota Libraries, http://lib.umn.edu/datamanagement