diff --git a/.lintr b/.lintr
index 1f40fea..c3272e9 100644
--- a/.lintr
+++ b/.lintr
@@ -1,5 +1,6 @@
 linters: linters_with_defaults(
     line_length_linter = line_length_linter(120L),
     commented_code_linter = NULL,
-    object_length_linter = NULL
+    object_length_linter = NULL,
+    indentation_linter = NULL
   )
diff --git a/DESCRIPTION b/DESCRIPTION
index 94489c3..f68a827 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -5,6 +5,11 @@ Authors@R: c(
     person(given = "Evan L",
            family = "Ray",
            email = "elray@umass.edu",
+           role = c("aut")),
+    person(given = "Li",
+           family = "Shandross",
+           email = "lshandross@umass.edu",
+           comment = c(ORCID = "0009-0008-1348-1954"),
            role = c("aut", "cre")),
     person(given = "Becky",
            family = "Sweger",
@@ -13,19 +18,14 @@ Authors@R: c(
     person(given = "Lucie",
            family = "Contamin",
            email = "contamin@pitt.edu",
-           role = c("aut"),
-           comment = c(ORCID = "0000-0001-5797-1279")),
-    person(given = "Li",
-           family = "Shandross",
-           email = "lshandross@umass.edu",
-           comment = c(ORCID = "0009-0008-1348-1954"),
-           role = c("ctb")))
+           comment = c(ORCID = "0000-0001-5797-1279"),
+           role = c("aut")))
 Description: This package provides example data for forecasting and scenario
     modeling hubs in the hubverse format.
 License: MIT + file LICENSE
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.3
 Suggests:
     aws.s3,
     dplyr,
diff --git a/data-raw/generate_example_forecast_data.R b/data-raw/generate_example_forecast_data.R
index 09c3a66..916e217 100755
--- a/data-raw/generate_example_forecast_data.R
+++ b/data-raw/generate_example_forecast_data.R
@@ -17,7 +17,8 @@ create_forecast_outputs <- function() {
   l_keep <- c("25", "48")
   q_lvls_keep <- c("0.05", "0.1", "0.25", "0.5", "0.75", "0.9", "0.95")
   d_keep <- c("2022-11-19", "2022-12-17")
-  hubData::connect_hub(hub_path, file_format = "parquet", skip_checks = TRUE) |>
+  hub_path |>
+    hubData::connect_hub(file_format = "parquet", skip_checks = TRUE) |>
     dplyr::filter(
       .data[["location"]] %in% l_keep,
       .data[["output_type"]] != "quantile" |
diff --git a/data/forecast_outputs.rda b/data/forecast_outputs.rda
index 34a1bd0..a4db1ab 100644
Binary files a/data/forecast_outputs.rda and b/data/forecast_outputs.rda differ