In the case your data file is not in Corelyzer dataset XML schema yet, you can use the “Custom Data Import” feature under “File” menu to specify few parameters and have the program to convert your data file into Corelyzer dataset XML format. A user can convert a plain text tabular data file or a Geotek generated data (after pre-processing and data cleaning) to Corelyzer XML data format and directly imported into Corelyzer working session.
File name: Original input file name. Use "File..." button to select your input file.
Field Separator: Input what is used to separate each fields in the input file. Commonly used separator might be comma(,) for CSV file. Or Tab(type in \t) delimited file.
Section Prefix: The prefix used for naming each section
Start Line Number: In the input file, the starting line number of data values, starting from 1.
End Line Number: In the input file, the ending line number of data values
Fields Label Line Number: What is the line number for labels of each value in columns.
Unit Label Line Number: What is the line number for units of each value in columns. If there is no such line, just input the same line number as "Field Label Line Number"
Name Column Number: Which column field should be picked used as the name of section. The final section name will be composed with "Section Prefix" and "Name Column Number". A simple comma separated expression is allowed to compose the section name.
Depth Column Number: Which column will be treated as depth values. Column index starts with 1.
Select Value Columns: From previous inputs, the field labels will be identified. Then you can check which fields do you want to select to the final dataset file.
Next is a step by step walkthrough example. The example source data file is downloaded from IODP Log database at Lamont-Doherty Earth Observatory, Columbia University. The data file used in this example is 763B-ngt.dat. The resulting Corelyzer dataset file is output_data.xml.
Select the "Custom Data Import" from the "File" menu.
The selected file will be loaded into "Plain Text Data Import" dialog. The upper half of the dialog shows different data format parameters in tabs. The lower half shows the content of the text file with line number attached to the beginning of each line.
In the "File Info" tab, the selected file will be shown and you have to select from one of the available separator (comma, tab or space). In the this example, tab separator is selected.
Because some text files will have certain number of comments lines in the header to describe the data file. In the "Data Range" tab, you can specify the actual data line range. Notice that the first number in each in the lower "File Content" panel shows the line number starting from one. In this example, the actual data starts from 6th line till the very end of the file (line 1586). In some equipments, bad or invalid values will be recorded during data acquisition with some fixed numbers like -999.99. If you want to ignore these bad values, check the "Ignore some bad values?" checkbox and type in the designated value.
Next, you need to specify the lines showing the labels for fields and units. If the data file does not have the unit label line, just select the same line as the field label. In this example 5th line shows the labels for data fields.
Next, depth information parameters have to be specified. You have to specify which column means depth. In this example, the depth is in the first column.
In the "Depth Mode" selection, you can select from either "Section Depth" or "Accumulated Depth". "Section Depth" means the depth values are measured from the beginning of each section that the data are acquired from. "Accumulated Depth" means the depth is measured from the bottom of the sea/lake floor.
Because internally Corelyzer arranges depth values into sections, it in one way fits how certain parties obtain the data from sections of cores. In the other way, it helps renderning performance. So if the "Customize Section Name" is not checked, the data will be put into sections suffixed with section numbers automatically. If your data files has section information embedded (like data files from LacCore repository), or you have your own section naming convension, you can customize your section names with "Section Prefix" and "Name Column Number".
For example, if you have a data file looks like this:
Geotek MSCL Version 3.0 - GLAD4-HST03-1A.OUT created at 12:37:15 on 08-21-2003.,,,,,,,,, ... SB DEPTH ,SECT NUM ,SECT DEPTH,ST ,PWAmp ,PWVel ,Den1 ,MS1 ,Imp ,FP m , ,cm ,cm , ,m/s ,gm/cc ,SI , , 0.06,1H-1,6,6.605,50,130.9347,1.2618,82.5908,165.2135,0.8632 0.07,1H-1,7,6.605,50,131.1427,1.1873,89.2873,155.7109,0.9064 0.08,1H-1,8,6.605,50,130.9736,1.2688,95.0648,166.1739,0.8592 ... 2.41,1H-2,92,6.604,50,130.9019,1.5467,152.7585,202.4669,0.698 2.42,1H-2,93,6.604,50,131.1098,1.5654,152.2331,205.2369,0.6871 2.43,1H-2,94,6.604,50,130.9408,1.6787,148.03,219.8154,0.6214 ... 4.41,2H-2,20,6.605,50,5436.214,1.9546,271.8012,10625.5,0.4614 4.42,2H-2,21,6.605,50,130.9477,2.0751,287.0326,271.7301,0.3915 4.43,2H-2,22,6.606,50,130.9545,1.9434,300.9818,254.4949,0.4679 ...
Each section's name can be composed by prefix "GLAD4-HST03-1A" with suffix from the string in the "SECT NUM" column. So check the "Customize Section Name" checkbox with "GLAD4-HST03-1A" section prefix and the number "2" in the "Name Column Number" will give the sections named "GLAD4-HST03-1A-1H-1", "GLAD4-HST03-1A-1H-2" and "GLAD4-HST03-1A-2H-2". Also notice that you need to use values from multiple columns to compose your full section name, you can also fill in string like, "2,-,4,-,7" to have values from multiple columns in the full section name separated by "-".
In the "Fields Selection" tab, you then can select the data field columns that you want to import into Corelyzer.
The data import process will then ask you to save the converted file (in Corelyzer native xml format) to your disk for future use. After saving, the data will be loaded into current Corelyzer session.
Notice that just like core images, data plots have to belong to a track grouping. So if you haven't have a track created or you want to have dedicated track grouping for data graph plots, create a new track from the "File" menu.
A screen capture video of these actions can be found in this link online (size: 6.7MB).