Dataset Identification:

Resource Abstract:
There is a growing need by researchers and managers for comprehensive and unified nationwide datasets of scientific data. These datasets must be in a digital format that is easily accessible using database and GIS applications, providing the user with access to a wide variety of current and historical information. Although most data currently being collected by scientists are already in a digital format, there is still a large repository of information in the literature and paper archive. Converting this information into a format accessible by computer applications is typically very difficult and can result in loss of data. However, since scientific data are commonly collected in a repetitious, concise matter (i.e., forms, tables, graphs, etc.), these data can be recovered digitally by using a conversion process that relates the position of an attribute in two-dimensional space to the information that the attribute signifies. For example, if a table contains a certain piece of information in a specific row and column, then the space that the row and column occupies becomes an index of that information. An index key is used to identify the relation between the physical location of the attribute and the information the attribute contains. The conversion process can be achieved rapidly, easily and inexpensively using widely available digitizing and spreadsheet software, and simple programming code. In the geological sciences, sedimentary character is commonly interpreted from geophysical profiles and descriptions of sediment cores. In the field and laboratory, these interpretations were typically transcribed to paper. The information from these paper archives is still relevant and increasingly important to scientists, engineers and managers to understand geologic processes affecting our environment. Direct scanning of this information produces a raster facsimile of the data, which allows it to be linked to the electronic world. But true integration of the content with database and GIS software as point, vector or text information is commonly lost. Sediment core descriptions and interpretation of geophysical profiles are usually portrayed as lines, curves, symbols and text information. They have vertical and horizontal dimensions associated with depth, category, time, or geographic position. These dimensions are displayed in consistent positions, which can be digitized and converted to a digital format, such as a spreadsheet. Once this data is in a digital, tabulated form it can easily be made available to a wide variety of imaging and data manipulation software for compilation and world-wide dissemination.
Citation
Title Converting analog interpretive data to digital formats for use in database and GIS applications
Publication Date  Date   2004
Topic Category:  geoscientificInformation
Publication Keywords
Open-File Report
thesaurus name >
Title USGS Publications Warehouse
revision  Date   2015-07-19
Theme keywords (theme):
thesaurus name >
Title Activity > Observation
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Process > Geologic Processes
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
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Title Resource Type > Repository
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
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Title Method > Information Processing
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Property > Measure
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Equipment > Instrument
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Science Domain > Earth Science
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Equipment > platform
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Resource Type > Software
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Feature > Marine Feature
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Theme keywords (theme):
thesaurus name >
Title Resource Type > Data Set
publication  Date   2017-01-15
other Citation Details  Cinergi keyword enhanced at Sun Jan 15 17:41:36 UTC 2017
Resource language:  eng
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Digital Transfer Options
Linkage for online resource
name ScienceBase Item Summary Page
URL:https://www.sciencebase.gov/catalog/item/4f4e4781e4b07f02db482945
protocol WWW:LINK-1.0-http--link
link function information
Description Link to the ScienceBase Item Summary page for the item described by this metadata record
target application profile  Web Browser
Linkage for online resource
name INDEX PAGE
URL:http://pubs.usgs.gov/of/2004/1070/
protocol WWW:LINK-1.0-http--link
link function information
Description ScienceBase WebLink
target application profile  Web Browser
Linkage for online resource
name index page
URL:http://pubs.er.usgs.gov/publication/ofr20041070
protocol WWW:LINK-1.0-http--link
link function information
Description ScienceBase WebLink
target application profile  Web Browser
Linkage for online resource
name Download Attached Files
URL:https://www.sciencebase.gov/catalog/file/get/4f4e4781e4b07f02db482945
protocol WWW:LINK-1.0-http--link
link function information
Description Download Link
target application profile  Web Browser
Metadata data stamp:  2014-08-31T09:06:15Z
Metadata Constraints
Constraints
Use limitation statement:
none
Metadata contact - author
organisation Name  Flocks, James G.
Contact information
Metadata contact - publisher
organisation Name  U.S. Geological Survey
Contact information
Metadata scope code  dataset
Metadata language  eng USA
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO19115
standard version:  1.0
Metadata record identifier:  4f4e4781e4b07f02db482945
URI for dataset described: > https://www.sciencebase.gov/catalog/item/4f4e4781e4b07f02db482945

Metadata record format is ISO19139-2 XML (MI_Metadata)