README.md
In paleolimbot/oceandf: Read 'ODF' (Ocean Data File) Files
oceandf
The goal of oceandf is to read ODF files. You can already do this using
oce::read.odf() and other internal Fisheries and Oceans Canada tools;
this package allows more flexible reading using the
readr package and using data frames
wherever possible.
Installation
You can install the development version from
GitHub with:
# install.packages("remotes")
remotes::install_github("paleolimbot/oceandf")
Example
Read ODF files as tables, guessing column types and names from the
PARAMTER_HEADER:
library(oceandf)
odf_file <- odf_example("CTD_98911_10P_11_DN.ODF")
read_odf(odf_file)
#> # A tibble: 562 x 6
#> PRES TEMP COND PSAL POTM SIGP
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.421 0.509 2.67 31.4 0.509 25.2
#> 2 0.8 -0.134 2.68 32.1 -0.134 25.8
#> 3 0.989 -0.229 2.68 32.2 -0.229 25.9
#> 4 1.08 -0.0914 2.68 32.1 -0.0914 25.8
#> 5 1.18 0.317 2.67 31.6 0.317 25.4
#> 6 1.37 0.222 2.67 31.7 0.222 25.4
#> 7 1.37 0.174 2.67 31.8 0.174 25.5
#> 8 1.37 -0.211 2.67 32.1 -0.211 25.8
#> 9 1.46 -0.193 2.66 32.0 -0.193 25.7
#> 10 1.56 -0.622 2.66 32.4 -0.622 26.0
#> # ... with 552 more rows
You can also read ODF headers as a list of data frames with reasonable
guesses for column types:
read_odf_header(odf_file)
#> $ODF_HEADER
#> # A tibble: 1 x 1
#> FILE_SPECIFICATION
#> <chr>
#> 1 D1:[MSMITH]CTD_98911_10P_11_DN.ODF
#>
#> $CRUISE_HEADER
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr>
#> 1 1810 98911 OCEAN SCIENCES JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
#>
#> $EVENT_HEADER
#> # A tibble: 1 x 18
#> DATA_TYPE EVENT_NUMBER EVENT_QUALIFIER1 EVENT_QUALIFIER2 CREATION_DATE
#> <chr> <chr> <chr> <chr> <dttm>
#> 1 CTD 10P 11 DN 1998-11-19 16:07:31
#> # ... with 13 more variables: ORIG_CREATION_DATE <dttm>,
#> # START_DATE_TIME <dttm>, END_DATE_TIME <dttm>, INITIAL_LATITUDE <dbl>,
#> # INITIAL_LONGITUDE <dbl>, END_LATITUDE <dbl>, END_LONGITUDE <dbl>,
#> # MIN_DEPTH <dbl>, MAX_DEPTH <dbl>, SAMPLING_INTERVAL <dbl>, SOUNDING <dbl>,
#> # DEPTH_OFF_BOTTOM <dbl>, EVENT_COMMENTS <list>
#>
#> $INSTRUMENT_HEADER
#> # A tibble: 1 x 4
#> INST_TYPE MODEL SERIAL_NUMBER DESCRIPTION
#> <chr> <chr> <chr> <chr>
#> 1 Sea-Bird <NA> 253591-026 <NA>
#>
#> $HISTORY_HEADER
#> # A tibble: 3 x 2
#> CREATION_DATE PROCESS
#> <dttm> <list>
#> 1 1998-11-16 10:27:14 <chr [26]>
#> 2 1998-11-19 15:55:53 <chr [8]>
#> 3 1998-11-19 16:07:31 <chr [15]>
#>
#> $PARAMETER_HEADER
#> # A tibble: 6 x 14
#> TYPE NAME UNITS WMO_CODE NULL_VALUE PRINT_FIELD_WID~ PRINT_DECIMAL_PLA~
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 SING PRES decibars PRES -.99000000D~ 11 4
#> 2 SING TEMP degrees~ TEMP -.99000000D~ 11 4
#> 3 SING COND mmHo COND -.99000000D~ 11 4
#> 4 SING PSAL <NA> PSAL -.99000000D~ 11 4
#> 5 SING POTM degrees~ POTM -.99000000D~ 8 4
#> 6 SING SIGP kg/m**3 SIGP -.99000000D~ 8 4
#> # ... with 7 more variables: ANGLE_OF_SECTION <dbl>, MAGNETIC_VARIATION <dbl>,
#> # DEPTH <chr>, MINIMUM_VALUE <chr>, MAXIMUM_VALUE <chr>, NUMBER_VALID <dbl>,
#> # NUMBER_NULL <dbl>
#>
#> $RECORD_HEADER
#> # A tibble: 1 x 3
#> NUM_HISTORY NUM_CYCLE NUM_PARAM
#> <dbl> <dbl> <dbl>
#> 1 3 562 6
The header as a list() of tibble() makes it particularly well-suited
to comparing headers from many files:
library(tidyverse)
odf_files <- c(
odf_example("CTD_98911_10P_11_DN.ODF"),
odf_example("CTD_PRD2002-001_26_1_DN.ODF")
)
odf_files %>%
set_names() %>%
map_dfr(read_odf_header_tbl, "CRUISE_HEADER", .id = "file")
#> # A tibble: 2 x 10
#> file COUNTRY_INSTITUT~ CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr> <chr>
#> 1 C:/Users/dunnin~ 1810 98911 OCEAN SCIENC~ JH
#> 2 C:/Users/dunnin~ <NA> PRD2002-001 BIO/Coastal ~ SP/JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
The read_odf() and read_odf_header() functions were carefully
designed to report parse errors rather than fail for creatively
formatted ODF files:
odf_file <- odf_example("MADCP_PRD2014001_1878_2456-OPTS_7200.ODF")
read_odf_header_tbl(odf_file, "CRUISE_HEADER")
#> Warning: Parse error in C:/Users/dunningtond/Documents/R/win-library/4.0/oceandf/extdata/MADCP_PRD2014001_1878_2456-OPTS_7200.ODF/CRUISE_HEADER:
#> [0, 5]: expected date like %d-%b-%Y %H:%M:%OS, but got '06-AUG-2014'
#> Warning: Parse error in C:/Users/dunningtond/Documents/R/win-library/4.0/oceandf/extdata/MADCP_PRD2014001_1878_2456-OPTS_7200.ODF/CRUISE_HEADER:
#> [0, 6]: expected date like %d-%b-%Y %H:%M:%OS, but got '12-AUG-2014'
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
You can override the default guesses for headers using
odf_header_cols_default() or readr::cols():
read_odf_header_tbl(
odf_file, "CRUISE_HEADER",
col_types = odf_header_cols_default(
START_DATE = odf_col_date(),
END_DATE = odf_col_date()
)
)
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <chr> <chr> <chr> <chr> <date>
#> 1 1810 PRD2014001 DFO BIO JH 2014-08-06
#> # ... with 4 more variables: END_DATE <date>, PLATFORM <chr>,
#> # CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
read_odf_header_tbl(
odf_file, "CRUISE_HEADER",
col_types = readr::cols(.default = col_character())
)
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <chr> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH 06-AUG-2014
#> # ... with 4 more variables: END_DATE <chr>, PLATFORM <chr>, CRUISE_NAME <chr>,
#> # CRUISE_DESCRIPTION <chr>
read_odf_header(odf_file, default_col_types = readr::cols())
#> $ODF_HEADER
#> # A tibble: 1 x 1
#> FILE_SPECIFICATION
#> <chr>
#> 1 MADCP_PRD2014001_1878_2456_7200
#>
#> $CRUISE_HEADER
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <dbl> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH 06-AUG-2014
#> # ... with 4 more variables: END_DATE <chr>, PLATFORM <chr>, CRUISE_NAME <chr>,
#> # CRUISE_DESCRIPTION <chr>
#>
#> $EVENT_HEADER
#> # A tibble: 1 x 18
#> DATA_TYPE EVENT_NUMBER EVENT_QUALIFIER1 EVENT_QUALIFIER2 CREATION_DATE
#> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 MADCP 1878 2456 7200 17-OCT-2016 14:20:59~
#> # ... with 13 more variables: ORIG_CREATION_DATE <chr>, START_DATE_TIME <chr>,
#> # END_DATE_TIME <chr>, INITIAL_LATITUDE <dbl>, INITIAL_LONGITUDE <dbl>,
#> # END_LATITUDE <dbl>, END_LONGITUDE <dbl>, MIN_DEPTH <dbl>, MAX_DEPTH <dbl>,
#> # SAMPLING_INTERVAL <dbl>, SOUNDING <dbl>, DEPTH_OFF_BOTTOM <dbl>,
#> # EVENT_COMMENTS <list>
#>
#> $INSTRUMENT_HEADER
#> # A tibble: 1 x 4
#> INST_TYPE MODEL SERIAL_NUMBER DESCRIPTION
#> <chr> <chr> <dbl> <chr>
#> 1 ADCP RD Instruments 2456 Sentinel 307.2 khz Version 51.40
#>
#> $HISTORY_HEADER
#> # A tibble: 2 x 2
#> CREATION_DATE PROCESS
#> <chr> <list>
#> 1 17-OCT-2016 14:20:59.28 <chr [63]>
#> 2 17-OCT-2016 14:20:59.70 <chr [2]>
#>
#> $PARAMETER_HEADER
#> # A tibble: 5 x 14
#> TYPE NAME UNITS CODE NULL_VALUE PRINT_FIELD_WID~ PRINT_DECIMAL_P~
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 SING PIPE Time Fo~ GMT SYTM_~ -99 10 3
#> 2 SING Sea Temperat~ degre~ TEMP_~ -99 10 2
#> 3 SING Sea Pressure~ decib~ PRES_~ -99 10 2
#> 4 SING Pitch Angle degre~ PTCH_~ -99 6 2
#> 5 SING Roll Angle degre~ ROLL_~ -99 6 2
#> # ... with 7 more variables: ANGLE_OF_SECTION <dbl>, MAGNETIC_VARIATION <dbl>,
#> # DEPTH <dbl>, MINIMUM_VALUE <chr>, MAXIMUM_VALUE <chr>, NUMBER_VALID <dbl>,
#> # NUMBER_NULL <dbl>
#>
#> $RECORD_HEADER
#> # A tibble: 1 x 5
#> NUM_CALIBRATION NUM_SWING NUM_HISTORY NUM_CYCLE NUM_PARAM
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0 0 1 8281 5
paleolimbot/oceandf documentation built on March 9, 2021, 9:43 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
oceandf
The goal of oceandf is to read ODF files. You can already do this using
oce::read.odf() and other internal Fisheries and Oceans Canada tools;
this package allows more flexible reading using the
readr package and using data frames
wherever possible.
Installation
You can install the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("paleolimbot/oceandf")
Example
Read ODF files as tables, guessing column types and names from the PARAMTER_HEADER:
library(oceandf)
odf_file <- odf_example("CTD_98911_10P_11_DN.ODF")
read_odf(odf_file)
#> # A tibble: 562 x 6
#> PRES TEMP COND PSAL POTM SIGP
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.421 0.509 2.67 31.4 0.509 25.2
#> 2 0.8 -0.134 2.68 32.1 -0.134 25.8
#> 3 0.989 -0.229 2.68 32.2 -0.229 25.9
#> 4 1.08 -0.0914 2.68 32.1 -0.0914 25.8
#> 5 1.18 0.317 2.67 31.6 0.317 25.4
#> 6 1.37 0.222 2.67 31.7 0.222 25.4
#> 7 1.37 0.174 2.67 31.8 0.174 25.5
#> 8 1.37 -0.211 2.67 32.1 -0.211 25.8
#> 9 1.46 -0.193 2.66 32.0 -0.193 25.7
#> 10 1.56 -0.622 2.66 32.4 -0.622 26.0
#> # ... with 552 more rows
You can also read ODF headers as a list of data frames with reasonable guesses for column types:
read_odf_header(odf_file)
#> $ODF_HEADER
#> # A tibble: 1 x 1
#> FILE_SPECIFICATION
#> <chr>
#> 1 D1:[MSMITH]CTD_98911_10P_11_DN.ODF
#>
#> $CRUISE_HEADER
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr>
#> 1 1810 98911 OCEAN SCIENCES JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
#>
#> $EVENT_HEADER
#> # A tibble: 1 x 18
#> DATA_TYPE EVENT_NUMBER EVENT_QUALIFIER1 EVENT_QUALIFIER2 CREATION_DATE
#> <chr> <chr> <chr> <chr> <dttm>
#> 1 CTD 10P 11 DN 1998-11-19 16:07:31
#> # ... with 13 more variables: ORIG_CREATION_DATE <dttm>,
#> # START_DATE_TIME <dttm>, END_DATE_TIME <dttm>, INITIAL_LATITUDE <dbl>,
#> # INITIAL_LONGITUDE <dbl>, END_LATITUDE <dbl>, END_LONGITUDE <dbl>,
#> # MIN_DEPTH <dbl>, MAX_DEPTH <dbl>, SAMPLING_INTERVAL <dbl>, SOUNDING <dbl>,
#> # DEPTH_OFF_BOTTOM <dbl>, EVENT_COMMENTS <list>
#>
#> $INSTRUMENT_HEADER
#> # A tibble: 1 x 4
#> INST_TYPE MODEL SERIAL_NUMBER DESCRIPTION
#> <chr> <chr> <chr> <chr>
#> 1 Sea-Bird <NA> 253591-026 <NA>
#>
#> $HISTORY_HEADER
#> # A tibble: 3 x 2
#> CREATION_DATE PROCESS
#> <dttm> <list>
#> 1 1998-11-16 10:27:14 <chr [26]>
#> 2 1998-11-19 15:55:53 <chr [8]>
#> 3 1998-11-19 16:07:31 <chr [15]>
#>
#> $PARAMETER_HEADER
#> # A tibble: 6 x 14
#> TYPE NAME UNITS WMO_CODE NULL_VALUE PRINT_FIELD_WID~ PRINT_DECIMAL_PLA~
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 SING PRES decibars PRES -.99000000D~ 11 4
#> 2 SING TEMP degrees~ TEMP -.99000000D~ 11 4
#> 3 SING COND mmHo COND -.99000000D~ 11 4
#> 4 SING PSAL <NA> PSAL -.99000000D~ 11 4
#> 5 SING POTM degrees~ POTM -.99000000D~ 8 4
#> 6 SING SIGP kg/m**3 SIGP -.99000000D~ 8 4
#> # ... with 7 more variables: ANGLE_OF_SECTION <dbl>, MAGNETIC_VARIATION <dbl>,
#> # DEPTH <chr>, MINIMUM_VALUE <chr>, MAXIMUM_VALUE <chr>, NUMBER_VALID <dbl>,
#> # NUMBER_NULL <dbl>
#>
#> $RECORD_HEADER
#> # A tibble: 1 x 3
#> NUM_HISTORY NUM_CYCLE NUM_PARAM
#> <dbl> <dbl> <dbl>
#> 1 3 562 6
The header as a list() of tibble() makes it particularly well-suited
to comparing headers from many files:
library(tidyverse)
odf_files <- c(
odf_example("CTD_98911_10P_11_DN.ODF"),
odf_example("CTD_PRD2002-001_26_1_DN.ODF")
)
odf_files %>%
set_names() %>%
map_dfr(read_odf_header_tbl, "CRUISE_HEADER", .id = "file")
#> # A tibble: 2 x 10
#> file COUNTRY_INSTITUT~ CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr> <chr>
#> 1 C:/Users/dunnin~ 1810 98911 OCEAN SCIENC~ JH
#> 2 C:/Users/dunnin~ <NA> PRD2002-001 BIO/Coastal ~ SP/JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
The read_odf() and read_odf_header() functions were carefully
designed to report parse errors rather than fail for creatively
formatted ODF files:
odf_file <- odf_example("MADCP_PRD2014001_1878_2456-OPTS_7200.ODF")
read_odf_header_tbl(odf_file, "CRUISE_HEADER")
#> Warning: Parse error in C:/Users/dunningtond/Documents/R/win-library/4.0/oceandf/extdata/MADCP_PRD2014001_1878_2456-OPTS_7200.ODF/CRUISE_HEADER:
#> [0, 5]: expected date like %d-%b-%Y %H:%M:%OS, but got '06-AUG-2014'
#> Warning: Parse error in C:/Users/dunningtond/Documents/R/win-library/4.0/oceandf/extdata/MADCP_PRD2014001_1878_2456-OPTS_7200.ODF/CRUISE_HEADER:
#> [0, 6]: expected date like %d-%b-%Y %H:%M:%OS, but got '12-AUG-2014'
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST
#> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH
#> # ... with 5 more variables: START_DATE <dttm>, END_DATE <dttm>,
#> # PLATFORM <chr>, CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
You can override the default guesses for headers using
odf_header_cols_default() or readr::cols():
read_odf_header_tbl(
odf_file, "CRUISE_HEADER",
col_types = odf_header_cols_default(
START_DATE = odf_col_date(),
END_DATE = odf_col_date()
)
)
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <chr> <chr> <chr> <chr> <date>
#> 1 1810 PRD2014001 DFO BIO JH 2014-08-06
#> # ... with 4 more variables: END_DATE <date>, PLATFORM <chr>,
#> # CRUISE_NAME <chr>, CRUISE_DESCRIPTION <chr>
read_odf_header_tbl(
odf_file, "CRUISE_HEADER",
col_types = readr::cols(.default = col_character())
)
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <chr> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH 06-AUG-2014
#> # ... with 4 more variables: END_DATE <chr>, PLATFORM <chr>, CRUISE_NAME <chr>,
#> # CRUISE_DESCRIPTION <chr>
read_odf_header(odf_file, default_col_types = readr::cols())
#> $ODF_HEADER
#> # A tibble: 1 x 1
#> FILE_SPECIFICATION
#> <chr>
#> 1 MADCP_PRD2014001_1878_2456_7200
#>
#> $CRUISE_HEADER
#> # A tibble: 1 x 9
#> COUNTRY_INSTITUTE_CODE CRUISE_NUMBER ORGANIZATION CHIEF_SCIENTIST START_DATE
#> <dbl> <chr> <chr> <chr> <chr>
#> 1 1810 PRD2014001 DFO BIO JH 06-AUG-2014
#> # ... with 4 more variables: END_DATE <chr>, PLATFORM <chr>, CRUISE_NAME <chr>,
#> # CRUISE_DESCRIPTION <chr>
#>
#> $EVENT_HEADER
#> # A tibble: 1 x 18
#> DATA_TYPE EVENT_NUMBER EVENT_QUALIFIER1 EVENT_QUALIFIER2 CREATION_DATE
#> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 MADCP 1878 2456 7200 17-OCT-2016 14:20:59~
#> # ... with 13 more variables: ORIG_CREATION_DATE <chr>, START_DATE_TIME <chr>,
#> # END_DATE_TIME <chr>, INITIAL_LATITUDE <dbl>, INITIAL_LONGITUDE <dbl>,
#> # END_LATITUDE <dbl>, END_LONGITUDE <dbl>, MIN_DEPTH <dbl>, MAX_DEPTH <dbl>,
#> # SAMPLING_INTERVAL <dbl>, SOUNDING <dbl>, DEPTH_OFF_BOTTOM <dbl>,
#> # EVENT_COMMENTS <list>
#>
#> $INSTRUMENT_HEADER
#> # A tibble: 1 x 4
#> INST_TYPE MODEL SERIAL_NUMBER DESCRIPTION
#> <chr> <chr> <dbl> <chr>
#> 1 ADCP RD Instruments 2456 Sentinel 307.2 khz Version 51.40
#>
#> $HISTORY_HEADER
#> # A tibble: 2 x 2
#> CREATION_DATE PROCESS
#> <chr> <list>
#> 1 17-OCT-2016 14:20:59.28 <chr [63]>
#> 2 17-OCT-2016 14:20:59.70 <chr [2]>
#>
#> $PARAMETER_HEADER
#> # A tibble: 5 x 14
#> TYPE NAME UNITS CODE NULL_VALUE PRINT_FIELD_WID~ PRINT_DECIMAL_P~
#> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 SING PIPE Time Fo~ GMT SYTM_~ -99 10 3
#> 2 SING Sea Temperat~ degre~ TEMP_~ -99 10 2
#> 3 SING Sea Pressure~ decib~ PRES_~ -99 10 2
#> 4 SING Pitch Angle degre~ PTCH_~ -99 6 2
#> 5 SING Roll Angle degre~ ROLL_~ -99 6 2
#> # ... with 7 more variables: ANGLE_OF_SECTION <dbl>, MAGNETIC_VARIATION <dbl>,
#> # DEPTH <dbl>, MINIMUM_VALUE <chr>, MAXIMUM_VALUE <chr>, NUMBER_VALID <dbl>,
#> # NUMBER_NULL <dbl>
#>
#> $RECORD_HEADER
#> # A tibble: 1 x 5
#> NUM_CALIBRATION NUM_SWING NUM_HISTORY NUM_CYCLE NUM_PARAM
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0 0 1 8281 5
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