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
thesaurus name >
- Title USGS Publications Warehouse
-
- revision Date
2015-07-19
Theme keywords (theme):
thesaurus name >
- Title Activity > Observation
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- 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
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- 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 > Repository
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- 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 Method > Information Processing
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- 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
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- 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
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- 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
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- 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
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- 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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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)