Keywords streams
Procedures_Used: The stream layer was extracted from the 1:2,000,000 Digital Line Graph files. Originally, each state was stored as a separate coverage. In this version, the individual state coverages all have been appended.
Revisions: Process_Step Process_Description Rev. 1.0 Original DLG conversion, state-by-state. Process_Date c1986 Process_Step Process_Description Rev. 2.0 Converted to the Data General workstation. All states joined into a single coverage. Process_Date 01/02/92
Reviews_Applied_to_Data: Rev. 1.0 has seen extensive use in a variety of studies.
Related_Spatial_and_Tabular_Data_Sets:
Other_References_Cited:
Notes:
(Here you put information defining how the time period of content information, on the DOC file, was determined)
(Here you pick one of the following entries that describes how often changes or additions are made to the data set. Pick one, and delete the rest)
Continually Daily Weekly Monthly Annually Unknown As Needed Irregular None planned
(describe any restrictions or legal prerequisites for accessing the data set. Put "None" if there are no restrictions)
(Here you acknowledge the agencies and organizations that gave you money, resources, and encouragement to digitize the data and to enter all this wonderful metadata.)
(Information in wordy narrative form describing omissions, selection criteria, generalization, definitions used, and other rules applied to derive the data set)
(An explanation of the accuracy of the horizontal coordinate measurements and a description of tests used, if any, to determine horizontal positional accuracy. This is different from horizontal resolution as reported in the DOC file. Positional accuracy defines how correctly the digital features match real-world features and woiuld be related to the concept of the National Map Accuracy Standard -- xx% of well-defined point features fall within xx units of their true position. The resolution is the smallest unit of measure the GIS can reliably manage without truncation or rounding.)
(The same as above, but for vertical information that may be encoded with the 2-D features such as cell or contour estimates of a vertical dimension. A description of the contour interval of input data and its basis could be described here.)