diff --git a/pipeline/L1_normalize-utils.R b/pipeline/L1_normalize-utils.R
index 1075ef5d..8b023722 100644
--- a/pipeline/L1_normalize-utils.R
+++ b/pipeline/L1_normalize-utils.R
@@ -252,9 +252,9 @@ expect_silent(unit_conversion(x$value, x$research_name, y, quiet = TRUE))
 
 # The second thing we pass is the observation data frame
 
-# This function returns a logical vector, of the same length as the data_df
-# input, that becomes F_OOS
-oos <- function(oos_df, data_df) {
+# This function returns a logical vector, of the same length as the
+# data_df input, that becomes F_OOS
+check_oos <- function(oos_df, data_df) {
     oos_df <- as.data.frame(oos_df)
 
     # Make sure that any 'extra' condition columns (in addition to the
@@ -303,37 +303,38 @@ test_oos <- function() {
 
     # No other conditions beyond time window
     oos_df <- data.frame(oos_begin = 1, oos_end = 1)
-    stopifnot(oos(oos_df, data_df) == c(TRUE, FALSE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(TRUE, FALSE, FALSE))
     oos_df <- data.frame(oos_begin = 4, oos_end = 5)
-    stopifnot(oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
     oos_df <- data.frame(oos_begin = 0, oos_end = 2)
-    stopifnot(oos(oos_df, data_df) == c(TRUE, TRUE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(TRUE, TRUE, FALSE))
     oos_df <- data.frame(oos_begin = 0, oos_end = 3)
-    stopifnot(oos(oos_df, data_df) == c(TRUE, TRUE, TRUE))
+    stopifnot(check_oos(oos_df, data_df) == c(TRUE, TRUE, TRUE))
 
     # x condition - doesn't match even though timestamp does
     oos_df <- data.frame(oos_begin = 1, oos_end = 1, x = "b")
-    stopifnot(oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
     # x condition - matches and timestamp does
     oos_df <- data.frame(oos_begin = 1, oos_end = 1, x = "a")
-    stopifnot(oos(oos_df, data_df) == c(TRUE, FALSE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(TRUE, FALSE, FALSE))
     # x condition - some match, some don't
     oos_df <- data.frame(oos_begin = 1, oos_end = 2, x = "b")
-    stopifnot(oos(oos_df, data_df) == c(FALSE, TRUE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(FALSE, TRUE, FALSE))
     # x and y condition
     oos_df <- data.frame(oos_begin = 1, oos_end = 2, x = "b", y = 5)
-    stopifnot(oos(oos_df, data_df) == c(FALSE, TRUE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(FALSE, TRUE, FALSE))
     oos_df <- data.frame(oos_begin = 1, oos_end = 2, x = "a", y = 5)
-    stopifnot(oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
+    stopifnot(check_oos(oos_df, data_df) == c(FALSE, FALSE, FALSE))
 
     # Error thrown if condition column(s) not present
     oos_df <- data.frame(oos_begin = 1, oos_end = 2, z = 1)
-    out <- try(oos(oos_df, data_df), silent = TRUE)
+    out <- try(check_oos(oos_df, data_df), silent = TRUE)
     stopifnot(class(out) == "try-error")
 }
 test_oos()
 
-# Read all out-of-service files and check their formatting
+# Read all out-of-service files, check their formatting,
+# and return as a list of the oos data tibbles
 read_oos_data <- function(oos_dir) {
     message("Dir is ", oos_dir)
     oos_files <- list.files(oos_dir, pattern = "\\.csv$", full.names = TRUE)
diff --git a/pipeline/L1_normalize.qmd b/pipeline/L1_normalize.qmd
index bce617ad..09160c21 100644
--- a/pipeline/L1_normalize.qmd
+++ b/pipeline/L1_normalize.qmd
@@ -106,11 +106,8 @@ L1_NORMALIZE <- file.path(params$DATA_ROOT, params$L1_NORMALIZE)
 
 source("helpers.R")
 
-# Read out-of-service data and set up a structure to keep track
-# of whether each table is used or not
+# Read out-of-service data
 oos_data <- read_oos_data(params$OOS)
-oos_data_used <- rep(FALSE, length.out = length(oos_data))
-names(oos_data_used) <- names(oos_data)
 
 # Restore old warning setting
 options(warn = oldwarn)
@@ -260,9 +257,8 @@ for(i in seq_along(files_to_process)) {
             # Is this reasonable? If not, we need to run through
             # all `oos_data` entries, OR'ing the results as we go, 
             # instead of breaking out
-            dat$F_OOS <- as.integer(oos(oos_data[[tbl]], dat))
+            dat$F_OOS <- as.integer(check_oos(oos_data[[tbl]], dat))
             if(sum(dat$F_OOS)) message("\tAdded ", sum(dat$F_OOS), " OOS flags for ", tbl)
-            oos_data_used[tbl] <- TRUE # won't work when parallelized
             break
         }
     }
@@ -323,13 +319,6 @@ for(i in seq_along(files_to_process)) {
 
     out[[i]] <- smry
 }
-
-# Check whether all out-of-service tables were checked
-# If not, this probably indicates a naming mistake
-if(!all(oos_data_used)) {
-    warning("Out-of-service tables never used: ",
-         paste(names(oos_data_used)[!oos_data_used], collapse = ","))
-}
 ```
 
 ## Summary
diff --git a/pipeline/out-of-service/README.md b/pipeline/out-of-service/README.md
index ef8eec25..4c8fa941 100644
--- a/pipeline/out-of-service/README.md
+++ b/pipeline/out-of-service/README.md
@@ -1,11 +1,11 @@
 # out-of-service
 
 This folder holds out-of-service (OOS) tables that are
-read by `L1_normalize.qmd` and used to add out-of-service flags to data.
+read by `L1_normalize.qmd` to add out-of-service flags to data.
 
-Note that **the CSV filenames are important.** They are used as a 
-pattern that's checked against the data 'Table' during L1_normalize
-processing.
+**Note that the CSV filenames are important:** they are used as a 
+pattern that's checked against the data 'Table' column during
+L1_normalize processing.
 
 OOS tables are CSV files and _must_ have at least three columns:
 * `Site` - Site name for which these OOS entries apply
diff --git a/pipeline/out-of-service/compass-fme-oos/README.md b/pipeline/out-of-service/compass-fme-oos/README.md
deleted file mode 100644
index f6e55025..00000000
--- a/pipeline/out-of-service/compass-fme-oos/README.md
+++ /dev/null
@@ -1,14 +0,0 @@
-# compass-fme-oos
-
-This folder holds COMPASS-FME instrument maintenance records that are
-transformed into out-of-service (OOS) tables in the folder above.
-
-In both cases,
-- copy new rows from google sheet into the CSV
-- check times -- technicians sometime use 12hr times, sometimes 24hr
-
-`troll_maintenance.csv` tracks the "Aquatroll Calibration/Removal Log"
-spreadsheet on the COMPASS-FME Google Drive.
-
-`exo_log.csv` tracks the "EXO calibration/deployment log" sheet on the
-COMPASS-FME Google Drive.
diff --git a/pipeline/out-of-service/compass-fme-oos/exo_log.csv b/pipeline/out-of-service/compass-fme-oos/exo_log.csv
deleted file mode 100644
index 267fe356..00000000
--- a/pipeline/out-of-service/compass-fme-oos/exo_log.csv
+++ /dev/null
@@ -1,16 +0,0 @@
-Site,year,calibrated,deployed,retrieved,out_of_water,note,name
-CRC,2022,2022-03-08,2022-03-10,2022-10-21,2022-07-19,Tube fixing,Fausto MS
-OWC,2022,2022-03-07,2022-06-21,2022-11-11,2022-10-05,Firmware update,Fausto MS
-PTR,2022,2022-07-19,2022-08-02,2022-10-21,2022-10-19,Stacked on sediment,Fausto MS
-OWC,2023,2023-04-05,2023-04-11,2023-11-17,,,Fausto MS
-CRC,2023,2023-04-05,2023-04-14,2023-11-17,2023-07-10,Tube fixing,Fausto MS
-PTR,2023,2023-04-05,2023-06-19,2023-12-06,2023-11-25,Flying above water,Fausto MS
-OWC,2024,2024-03-29,2024-03-29,,2024-04-05,Sensor DO Cap replacement,Fausto MS
-CRC,2024,2024-04-25,2024-04-30,,,,
-CRC,2025,2025-05-20,2025-06-23,,,,
-MSM,2025,2025-11-06,2024-11-21,,,,
-MSM,2025,2025-03-11,2025-03-13,,,,
-MSM,2025,2025-05-13,2025-05-15,,,,
-MSM,2025,2025-06-30,2025-07-01,,,,
-MSM,2025,2025-09-08,2025-09-11,,,,
-MSM,2025,2025-11-10,2025-11-13,,,,
diff --git a/pipeline/out-of-service/compass-fme-oos/fme-oos.R b/pipeline/out-of-service/compass-fme-oos/fme-oos.R
deleted file mode 100644
index e1b76ada..00000000
--- a/pipeline/out-of-service/compass-fme-oos/fme-oos.R
+++ /dev/null
@@ -1,93 +0,0 @@
-# fme-oos.R
-
-# Need to run this script from within pipeline directory
-if(basename(getwd()) != "pipeline") {
-    stop("Working directory needs to be pipeline/")
-}
-
-library(lubridate)
-library(readr)
-library(tibble)
-
-# We read in a version of the Aquatroll Calibration/Removal Log
-# (in Monitoring Documents on the COMPASS Google Drive) and restructure it
-# into a form ready for out-of-service calculations in L1_normalize.qmd
-prep_troll_oos_table <- function(troll) {
-    # If no time_pulled given, assume 6 AM
-    tp <- troll$Time_pulled
-    tp[is.na(tp) | tp == ""] <- "06:00"
-
-    # If no time_replaced given, assume 6 PM
-    tr <- troll$Time_replaced
-    tr[is.na(tr) | tr == ""] <- "18:00"
-
-    # If no date_replaced given, assume ongoing
-    dr <- troll$Date_replaced
-    dr[is.na(dr) | dr == ""] <- "12/31/2999"
-
-    # Calculate out of service windows
-    troll$oos_begin <- mdy(troll$Date_pulled, tz = "EST") + hm(tp)
-    troll$oos_end <- mdy(dr, tz = "EST") + hm(tr)
-    # Per Peter R., we throw out all data for 24 hours after replacement
-    troll$oos_end <- troll$oos_end + 60 * 60 * 24
-
-    # The L1 data have character, not PosixCT, timestamps, so for correct
-    # comparisons in oos() below need to have that be true here too
-    troll$oos_begin <- as.character(troll$oos_begin)
-    troll$oos_end <- as.character(troll$oos_end)
-
-    # Rename columns to match the design table entries
-    troll$Instrument_ID <- troll$Troll
-    troll$Plot <- troll$Location
-
-    # Return a data frame with the needed columns: the oos begin and end,
-    # as well as the additional columns to match
-    troll[c("Site", "Plot", "Instrument_ID", "oos_begin", "oos_end")]
-}
-
-# Restructure the EXO calibration/deployment log
-# (https://docs.google.com/spreadsheets/d/1y08XAOzzpLZbIOMJquVUv-jSHXhHJpF9neG5kcJpnjQ/edit#gid=913708372)
-prep_exo_oos_table <- function(exo) {
-    # Out of service until deployment
-    exo$oos_begin <-ymd(paste0(exo$year, "-01-01"), tz = "EST")
-    exo$oos_end <- force_tz(exo$deployed + hm("21:00"), tzone = "EST")
-
-    # Out of service after retrieval
-    exo2 <- tibble(
-        Site = exo$Site,
-        oos_begin = force_tz(exo$retrieved + hm("03:00"), tzone = "EST"),
-        oos_end = ymd(paste0(exo$year, "-12-31"), tz = "EST")
-    )
-
-    # And, out of service when out of water
-    exo3 <- tibble(
-        Site = exo$Site,
-        oos_begin = force_tz(exo$out_of_water + hm("03:00"), tzone = "EST"),
-        oos_end = force_tz(exo$out_of_water + hm("21:00"), tzone = "EST")
-    )
-
-    exo <- exo[c("Site", "oos_begin", "oos_end")]
-    exo <- rbind(exo, exo2, exo3)
-
-    # The L1 data have character, not PosixCT, timestamps, so for correct
-    # comparisons in oos() below need to have that be true here too
-    exo$oos_begin <- as.character(exo$oos_begin)
-    exo$oos_end <- as.character(exo$oos_end)
-
-    exo[!is.na(exo$oos_begin),]
-}
-
-
-# Read the Aquatroll out-of-service table
-troll <- read_csv("out-of-service/compass-fme-oos/troll_maintenance.csv",
-                  col_types = "ccccccccc")
-oos_troll <- prep_troll_oos_table(troll)
-# This tibble should be written as "WaterLevel600.csv"
-
-# Read the EXO out-of-service table
-exo <- read_csv("out-of-service/compass-fme-oos/exo_log.csv",
-                col_types = "cdDDDDcc")
-oos_exo <- prep_exo_oos_table(exo)
-# This tibble should be written as "ExoTable.csv"
-
-message("All done. See comments about writing oos_troll and oos_exo")
diff --git a/pipeline/out-of-service/compass-fme-oos/troll_maintenance.csv b/pipeline/out-of-service/compass-fme-oos/troll_maintenance.csv
deleted file mode 100644
index 304fdad8..00000000
--- a/pipeline/out-of-service/compass-fme-oos/troll_maintenance.csv
+++ /dev/null
@@ -1,278 +0,0 @@
-Date_pulled,Site,Location,Time_pulled,Date_replaced,Time_replaced,Troll,Sensor_SN,Note
-3/7/2022,OWC,W,,3/7/2022,,C,847973,
-3/7/2022,OWC,WTE,,3/7/2022,,B,848022,
-3/7/2022,OWC,TR,,3/7/2022,,A,848067,
-3/7/2022,CRC,UP,,3/7/2022,,A,848069,
-3/7/2022,PTR,W,,3/7/2022,,C,848308,
-3/7/2022,PTR,UP,,3/7/2022,,A,848345,
-3/7/2022,CRC,W,,3/7/2022,,C,848392,
-3/7/2022,CRC,TR,,3/7/2022,,B,848523,
-3/7/2022,PTR,TR,,3/7/2022,,B,848529,
-5/31/2022,MSM,TR,14:00,5/31/2022,,B,848425,
-7/19/2022,PTR,W,,7/19/2022,,C,848308,
-7/19/2022,PTR,TR,,7/19/2022,,B,848529,
-7/19/2022,CRC,UP,0:00,7/28/2022,0:00,A,,From Fausto code - see #121
-7/19/2022,CRC,TR,0:00,7/28/2022,0:00,B,,From Fausto code - see #121
-7/19/2022,CRC,W,0:00,7/28/2022,0:00,C,,From Fausto code - see #121
-7/20/2022,CRC,TR,,7/20/2022,,B,848523,
-7/20/2022,CRC,UP,15:30,7/20/2022,,A,848069,
-7/20/2022,CRC,W,,7/20/2022,,C,848392,
-7/21/2022,OWC,TR,8:00,7/31/2022,0:00,A,,From Fausto code - see #121
-7/21/2022,OWC,WTE,8:00,7/31/2022,0:00,B,,From Fausto code - see #121
-7/21/2022,OWC,W,8:00,7/31/2022,0:00,C,,From Fausto code - see #121
-7/21/2022,OWC,W,,7/21/2022,,C,847973,
-7/21/2022,OWC,WTE,,7/21/2022,,B,848022,
-7/21/2022,OWC,TR,,7/21/2022,,A,848067,
-7/19/2022,PTR,UP,8:00,7/29/2022,8:00,A,848345,From Fausto code - see #121
-8/2/2022,PTR,UP,8:00,8/12/2022,8:00,A,848345,From Fausto code - see #121
-9/15/2022,TMP,C,9:12,9/15/2022,,A,685442,
-9/18/2022,MSM,UP,10:46,9/18/2022,,A,848502,
-9/18/2022,MSM,TR,11:30,9/18/2022,,B,848425,
-9/18/2022,MSM,W,12:23,9/18/2022,,C,847940,
-9/20/2022,TMP,SW,9:00,9/20/2022,,A,685410,
-9/20/2022,TMP,FW,10:25,9/20/2022,,A,685474,
-9/22/2022,GWI,UP,11:50,9/22/2022,,A,848346,
-9/22/2022,GWI,TR,12:51,9/22/2022,,B,848277,
-9/22/2022,GWI,W,13:41,9/22/2022,,C,847922,
-11/07/2022,CRC,TR,13:00,11/07/2022,,B,848523,
-11/07/2022,CRC,UP,13:00,11/07/2022,,A,848069,
-11/07/2022,PTR,TR,13:00,11/07/2022,,B,848529,
-11/07/2022,PTR,UP,13:00,11/07/2022,,A,848345,
-11/09/2022,CRC,UP,14:00,11/09/2022,,A,848069,
-11/09/2022,CRC,TR,13:30,11/09/2022,,B,848523,
-11/09/2022,CRC,W,13:15,11/09/2022,,C,848392,
-11/09/2022,PTR,W,15:15,11/09/2022,,C,848308,
-11/09/2022,OWC,TR,,11/09/2022,,A,848067,
-11/22/2022,OWC,WTE,13:48,11/22/2022,,B,848022,
-11/22/2022,OWC,W,14:50,11/22/2022,,C,847973,
-1/24/2023,PTR,W,,1/24/2023,,C,848308,
-1/24/2023,CRC,W,,1/24/2023,,C,848392,
-1/24/2023,CRC,TR,,1/24/2023,,B,848523,
-1/24/2023,CRC,UP,,1/24/2023,,A,848069,
-1/24/2023,OWC,TR,,1/24/2023,,A,848067,
-02/17/2023,CRC,W,12:00,02/17/2023,,C,848392,
-02/17/2023,CRC,TR,13:00,02/17/2023,,B,848523,
-03/02/2023,CRC,TR,12:30,03/02/2023,,B,848523,
-03/02/2023,CRC,W,13:30,03/02/2023,,C,848392,
-03/02/2023,CRC,UP,14:30,03/02/2023,,A,848069,
-03/02/2023,PTR,UP,15:30,03/02/2023,,A,848345,
-03/02/2023,PTR,TR,16:00,03/02/2023,,B,848529,
-03/02/2023,PTR,W,16:15,03/02/2023,,C,848308,
-03/02/2023,OWC,TR,17:40,03/02/2023,,A,848067,
-03/02/2023,OWC,WTE,18:10,03/02/2023,,B,848022,
-03/02/2023,OWC,W,18:25,03/02/2023,,C,847973,
-03/22/2023,MSM,UP,9:50,03/22/2023,,A,848502,
-03/22/2023,MSM,TR,11:30,03/22/2023,,B,951973,
-03/22/2023,MSM,W,12:15,03/22/2023,,C,847940,
-3/23/2023,PTR,UP,16:30,3/23/2023,,A,848345,
-3/23/2023,PTR,TR,15:30,3/23/2023,,B,848529,
-3/23/2023,PTR,W,13:30,3/23/2023,,C,848308,
-3/30/2023,CRC,W,12:00,3/30/2023,,C,848392,
-3/30/2023,CRC,TR,13:42,3/30/2023,,B,848523,
-3/30/2023,CRC,UP,14:30,3/30/2023,,A,848069,
-3/30/2023,OWC,TR,16:00,3/30/2023,,A,848067,
-3/30/2023,OWC,WTE,16:55,3/30/2023,,B,848022,
-3/30/2023,OWC,W,17:10,3/30/2023,,C,847973,
-3/30/2023,GWI,UP,10:20,3/30/2023,,A,848346,
-4/12/2023,GCW,UP,11:00,4/12/2023,,A,685442,
-4/17/2023,GCW,W,12:56,4/17/2023,,C,847958,
-3/8/2023,GCW,TR,12:00,3/8/2023,,B,848425,
-4/21/2023,OWC,WTE,12:00,4/21/2023,,B,848022,
-4/21/2023,OWC,TR,12:00,4/21/2023,,A,848067,
-6/21/2023,CRC,W,17:42,6/21/2023,17:50,C,848392,
-7/7/2023,CRC,UP,12:55,7/7/2023,15:30,A,848069,
-7/10/2023,OWC,WTE,16:01,7/10/2023,16:44,B,848022,
-7/12/2023,CRC,W,11:13,7/12/2023,12:07,C,848392,
-7/12/2023,GCW,W,8:00,7/12/2023,,C,847958,
-7/13/2023,CRC,TR,12:48,7/13/2023,13:46,B,848523,
-7/13/2023,MSM,W,9:40,7/13/2023,,C,847940,
-7/13/2023,MSM,TR,11:40,7/13/2023,,B,951973,
-7/14/2023,OWC,TR,13:00,7/14/2023,13:44,A,848067,
-7/14/2023,OWC,W,9:43,7/14/2023,10:35,C,847973,
-7/14/2023,GCW,TR,11:00,7/14/2023,,B,848425,
-7/14/2023,GCW,UP,12:50,7/14/2023,,A,685442,
-7/17/2023,PTR,UP,9:45,7/17/2023,12:05,A,848345,
-7/19/2023,PTR,TR,16:12,7/19/2023,18:00,B,848529,
-7/19/2023,PTR,W,12:20,7/19/2023,12:57,C,848308,
-7/19/2023,SWH,TR,10:00,7/19/2023,,B,1011979,
-7/19/2023,SWH,W,13:30,7/19/2023,,C,1011987,
-7/19/2023,SWH,UP,15:00,7/19/2023,,A,951927,
-7/20/2023,GWI,W,9:20,7/20/2023,,C,847922,
-7/20/2023,GWI,TR,10:00,7/20/2023,,B,848277,
-7/20/2023,GWI,UP,11:00,7/20/2023,,A,848346,
-7/25/2023,OWC,TR,11:00,7/25/2023,,A,848067,
-7/25/2023,OWC,WTE,14:15,7/25/2023,,B,848022,
-7/25/2023,OWC,W,13:45,7/25/2023,,C,847973,
-7/27/2023,PTR,W,10:30,7/27/2023,,C,848308,
-8/1/2023,PTR,TR,14:55,8/1/2023,,B,848529,
-8/1/2023,PTR,UP,12:50,8/1/2023,,A,848345,
-8/3/2023,CRC,UP,13:45,8/3/2023,,A,848069,
-8/3/2023,CRC,W,12:15,8/3/2023,,C,848392,
-8/3/2023,CRC,TR,11:00,8/3/2023,,B,848523,
-8/21/2023,CRC,TR,11:09,8/21/2023,11:15,B,848523,
-8/21/2023,CRC,W,10:40,8/21/2023,10:45,C,848392,
-8/21/2023,CRC,UP,15:42,8/21/2023,15:47,A,848069,
-9/7/2023,CRC,W,12:51,9/7/2023,13:50,C,848392,
-9/14/2023,PTR,W,10:00,9/14/2023,12:00,C,848308,
-9/19/2023,PTR,TR,11:00,9/19/2023,13:40,B,848529,
-9/19/2023,PTR,UP,10:30,9/19/2023,12:00,A,848345,
-9/21/2023,CRC,TR,12:13,9/21/2023,13:30,B,848523,
-10/2/2023,OWC,TR,12:00,,,A,848067,
-10/6/2023,CRC,TR,11:30,10/6/2023,11:45,B,848523,
-10/11/2023,PTR,UP,12:30,10/11/2023,12:45,A,848345,
-10/11/2023,PTR,TR,12:45,10/11/2023,13:00,B,848529,
-6/20/2023,CRC,TR,13:20,6/20/2023,13:29,B,848523,
-6/20/2023,CRC,W,14:12,6/20/2023,14:19,C,848392,
-8/21/2023,CRC,TR,11:05,8/21/2023,11:09,B,848523,
-9/27/2023,CRC,UP,11:27,9/27/2023,11:30,A,848069,
-9/27/2023,CRC,TR,12:20,9/27/2023,12:23,B,848523,
-9/27/2023,CRC,W,12:33,9/27/2023,12:38,C,848392,
-10/24/2023,GCW,W,13:00,10/24/2023,14:00,C,847958,
-10/24/2023,GCW,TR,13:45,10/24/2023,16:00,B,848425,
-10/26/2023,GCW,UP,9:00,10/26/2023,10:00,A,685442,
-11/7/2023,MSM,W,9:35,11/7/2023,10:15,C,847940,
-11/7/2023,MSM,TR,11:00,11/7/2023,11:45,B,951973,
-11/7/2023,MSM,UP,11:53,11/7/2023,12:30,A,848502,
-12/5/2023,PTR,UP,9:15,12/5/2023,10:30,A,848345,
-12/5/2023,PTR,TR,10:45,12/5/2023,11:45,B,848529,
-12/5/2023,PTR,W,12:07,12/5/2023,13:00,C,848308,
-12/14/2023,OWC,W,12:35,12/14/2023,13:30,C,847973,
-12/14/2023,OWC,WTE,13:43,12/14/2023,14:45,B,848022,
-3/5/2024,SWH,Swamp,12:20,3/5/2024,13:00,A,951927,
-3/5/2024,SWH,W,14:15,3/5/2024,15:00,C,1011987,
-3/5/2024,SWH,TR,15:30,3/5/2024,16:00,B,1011979,
-3/7/2024,GWI,UP,10:10,3/7/2024,11:00,A,848346,
-3/7/2024,GWI,TR,11:00,3/7/2024,12:00,B,848277,
-3/7/2024,GWI,WC,12:00,3/7/2024,1:00,C,847922,
-3/12/2024,MSM,UP,11:18,3/12/2024,12:00,A,868502,
-3/12/2024,MSM,TR,12:11,3/12/2024,13:00,B,951973,
-3/12/2024,MSM,WC,12:48,3/12/2024,13:00,C,847940,
-3/15/2024,CRC,TR,11:30,3/15/2024,12:00,B,848523,
-3/15/2024,CRC,W,12:00,3/15/2024,12:30,C,848392,
-4/5/2024,OWC,TR,,4/5/2024,,A,1017585,
-4/5/2024,OWC,WTE,,4/5/2024,,B,848022,
-4/5/2024,OWC,W,,4/5/2024,,C,847973,
-5/2/2024,OWC,TR,10:45,5/2/2024,13:30,A,1017585,
-5/2/2024,OWC,WTE,11:15,5/2/2024,12:55,B,848022,
-5/2/2024,OWC,W,12:55,5/2/2024,13:40,C,847973,
-4/9/2024,PTR,W,10:45,4/9/2024,11:20,C,848308,
-4/9/2024,PTR,TR,11:20,4/9/2024,11:50,B,848529,
-4/9/2024,PTR,UP,11:50,4/9/2024,12:10,A,848345,
-4/30/2024,CRC,UP,14:30,4/30/2024,15:15,A,848069,
-4/30/2024,CRC,TR,15:20,4/30/2024,16:00,B,848523,
-4/30/2024,CRC,W,16:05,4/30/2024,16:40,C,848392,
-5/2/2024,OWC,TR,10:45,5/2/2024,13:30,A,1017585,
-5/2/2024,OWC,WTE,11:15,5/2/2024,12:55,B,848022,
-5/2/2024,OWC,W,12:55,5/2/2024,13:40,C,847973,
-5/20/2024,GCW,TR,8:30,5/20/2024,10:00,B,848425,
-5/20/2024,GCW,WC,10:30,5/20/2024,12:00,C,847958,
-6/27/2024,GWI,TR,10:30,6/27/2024,11:30,B,848277,
-6/27/2024,GWI,UP,11:50,6/27/2024,12:30,A,848346,
-6/27/2024,GWI,WC,12:50,6/27/2024,13:30,C,847922,
-7/3/2024,OWC,W,11:00,7/3/2024,11:40,C,847973,
-7/24/2024,OWC,TR,10:05,7/24/2024,12:00,A,1017585,
-8/14/2024,OWC,TR,12:00,8/14/2024,13:00,A,1017585,
-8/14/2024,OWC,WTE,13:05,8/14/2024,14:00,B,848022,
-8/14/2024,OWC,W,14:05,8/14/2024,14:30,C,847973,
-8/19/2024,CRC,UP,9:31,8/19/2024,10:30,A,848069,
-8/19/2024,CRC,TR,11:40,8/19/2024,14:00,B,848523,
-8/19/2024,CRC,W,10:55,8/19/2024,11:30,C,848392,
-8/23/2024,PTR,W,12:13,8/23/2024,13:05,C,848308,
-8/23/2024,PTR,TR,11:08,8/23/2024,11:55,B,848529,
-8/23/2024,PTR,UP,9:58,8/23/2024,10:55,A,848345,
-8/29/2024,CRC,TR,10:50,8/29/2024,11:00,B,848523,
-11/1/2024,CRC,TR,13:24,11/1/2024,13:35,B,,
-11/7/2024,CRC,TR,8:35,11/7/2024,9:35,B,848523,
-11/7/2024,CRC,W,9:40,11/7/2024,10:40,C,848392,
-11/7/2024,CRC,UP,11:00,11/7/2024,11:50,A,848069,
-11/7/2024,PTR,UP,13:05,11/7/2024,14:05,A,848345,
-11/7/2024,PTR,TR,14:10,11/7/2024,15:05,B,848529,
-11/7/2024,PTR,W,15:15,11/7/2024,15:50,C,848308,
-11/8/2024,OWC,TR,13:45,11/8/2024,14:30,A,848067,
-11/8/2024,OWC,WTE,12:00,11/8/2024,13:40,B,848022,
-11/8/2024,OWC,W,11:00,11/8/2024,11:55,C,847973,
-11/12/2024,SWH,W,12:00,11/12/2024,13:00,C,1011987,
-11/12/2024,SWH,TR,14:00,11/12/2024,15:00,B,1011979,
-11/13/2024,SWH,UP,9:00,11/13/2024,10:00,A,1107808,
-11/13/2024,SWH,Swamp,10:00,11/13/2024,11:00,B,951927,
-11/14/2024,GWI,TR,10:30,11/14/2024,11:30,B,848277,
-11/14/2024,GWI,UP,12:00,11/14/2024,13:00,A,848346,
-11/14/2024,GWI,W,13:00,11/14/2024,14:00,C,847922,
-11/13/2024,CRC,TR,10:30,11/13/2024,12:00,B,848523,
-11/13/2024,CRC,W,12:20,11/13/2024,12:50,C,848392,
-11/13/2024,CRC,UP,13:05,11/13/2024,14:10,A,848069,
-11/13/2024,PTR,UP,8:00,11/13/2024,8:30,A,848345,
-11/13/2024,PTR,TR,8:30,11/13/2024,9:00,B,848529,
-11/13/2024,PTR,W,9:00,11/13/2024,9:30,C,848308,
-11/20/2024,OWC,TR,10:00,11/20/2024,11:15,A,848067,
-11/20/2024,OWC,WTE,11:15,11/20/2024,11:45,B,848022,
-11/20/2024,OWC,W,11:55,11/20/2024,12:50,C,847973,
-11/21/2024,MSM,W,11:15,11/21/2024,12:00,C,847940,
-11/21/2024,MSM,TR,12:45,11/21/2024,13:30,B,951973,
-11/21/2024,MSM,UP,14:05,11/21/2024,15:00,A,848502,
-12/3/2024,OWC,TR,10:30,12/3/2024,12:35,A,1017585,
-3/4/2025,OWC,TR,8:30,3/4/2025,11:00,A,848067,
-3/4/2025,OWC,WTE,11:00,3/4/2025,12:00,B,848022,
-3/3/2025,GCW,UP,13:00,3/3/2025,15:00,A,1150428,
-3/3/2025,GCW,TR,14:30,3/3/2025,16:00,B,848425,
-3/5/2025,GCW,W,9:45,3/5/2025,12:00,C,847958,
-3/11/2025,PTR,UP,11:30,3/11/2025,12:15,A,848345,
-3/11/2025,PTR,TR,12:15,3/11/2025,13:00,B,848529,
-3/11/2025,PTR,W,13:00,3/11/2025,13:45,C,848308,
-3/11/2025,CRC,UP,15:00,3/11/2025,16:00,A,848069,
-3/14/2025,CRC,TR,10:00,3/14/2025,12:15,B,1017585,
-3/19/2025,GWI,W,8:48,3/19/2025,10:00,C,847922,
-3/19/2025,GWI,TR,10:06,3/19/2025,11:00,B,848277,
-3/19/2025,GWI,UP,10:55,3/19/2025,11:30,A,848346,
-3/18/2025,SWH,W,10:55,3/18/2025,11:30,C,1011987,
-3/18/2025,SWH,SWAMP,13:05,3/18/2025,13:30,B,951927,
-3/18/2025,SWH,UP,13:45,3/18/2025,14:15,A,1107808,
-3/18/2025,SWH,TR,14:45,3/18/2025,15:15,B,1011979,
-3/13/2025,MSM,UP,11:00,3/13/2025,11:30,A,848502,
-3/13/2025,MSM,TR,12:30,3/13/2025,13:00,B,951973,
-3/13/2025,MSM,W,13:10,3/13/2025,14:00,C,847940,
-4/1/2025,OWC,W,10:30,4/1/2025,12:00,C,847973,
-4/1/2025,CRC,W,17:00,4/1/2025,18:00,C,848392,
-6/27/2025,OWC,W,12:45,6/27/2025,13:30,C,847973,
-6/27/2025,OWC,WTE,13:45,6/27/2025,14:30,B,848022,
-6/27/2025,OWC,TR,14:45,6/27/2025,15:00,B,848067,
-7/1/2025,CRC,W,8:45,7/1/2025,9:30,C,848392,
-7/1/2025,CRC,TR,9:45,7/1/2025,10:15,B,1017585,
-7/1/2025,CRC,UP,13:00,7/1/2025,13:30,A,848069,
-7/11/2025,GCW,W,11:00,7/11/2025,12:00,B,847958,
-7/11/2025,GCW,TR,13:30,7/11/2025,15:00,C,848346,
-7/15/2025,MSM,UP,15:00,7/15/2025,17:00,A,951977,
-7/15/2025,CRC,TR,10:30,7/15/2025,12:00,B,1017585,
-7/15/2025,CRC,W,10:00,7/15/2025,11:30,C,848392,
-7/22/2025,SWH,TR,8:30,7/22/2025,9:30,B,1011979,
-7/22/2025,SWH,W,9:00,7/22/2025,10:00,C,1011987,
-7/22/2025,SWH,SWAMP,10:10,7/22/2025,11:00,B,951927,
-7/22/2025,SWH,UP,11:24,7/22/2025,12:00,A,1107808,
-7/23/2025,GWI,W,12:35,7/23/2025,1:00,C,847922,
-7/24/2025,GWI,TR,9:10,7/24/2025,10:00,B,848277,
-7/24/2025,GWI,UP,8:30,7/24/2025,9:30,A,848425,
-7/29/2025,PTR,W,11:00,7/29/2025,11:30,C,848529,
-7/29/2025,PTR,TR,12:00,7/29/2025,12:30,B,848308,
-7/30/2025,CRC,TR,10:00,7/30/2025,10:30,B,848523,
-7/30/2025,PTR,UP,12:00,7/30/2025,14:00,A,1017585,
-8/26/2025,CRC,TR,10:00,8/26/2025,11:00,B,848523,
-8/27/2025,PTR,UP,10:30,8/27/2025,12:00,A,1240492,
-9/5/2025,CRC,UP,15:00,9/5/2025,16:00,A,848523,
-9/26/2025,OWC,W,10:45,9/26/2025,11:15,B,847973,
-9/26/2025,PTR,UP,12:00,9/26/2025,13:15,A,848345,
-9/26/2025,PTR,W,13:00,9/26/2025,13:30,C,848308,
-10/2/2025,OWC,TR,10:30,10/2/2025,12:00,B,848067,
-10/2/2025,OWC,WTE,11:00,10/2/2025,12:30,B,848022,
-11/4/2025,SWH,TR,10:30,11/4/2025,11:00,B,1011979,
-11/4/2025,SWH,W,13:40,11/4/2025,14:30,C,1011987,
-11/5/2025,SWH,UP,9:30,11/5/2025,10:00,B,1107808,
-11/5/2025,SWH,SWAMP,10:55,11/5/2025,11:30,A,951927,
-11/6/2025,GWI,TR,10:15,11/6/2025,11:00,B,848277,
-11/6/2025,GWI,UP,11:30,11/6/2025,12:00,A,848425,
-11/6/2025,GWI,W,12:30,11/6/2025,13:00,C,1150742,
-11/13/2025,MSM,UP,10:30,11/13/2025,11:00,A,951973,
-11/13/2025,MSM,W,11:10,11/13/2025,12:00,C,1150428,
-11/13/2025,MSM,TR,12:30,11/13/2025,13:00,B,847922,
-12/8/2025,GCW,W,8:00,12/8/2025,9:00,C,848502,
-12/8/2025,GCW,UP,9:45,12/8/2025,11:00,A,1150434,
-12/8/2025,GCW,TR,9:45,12/8/2025,11:00,B,848346,