diff --git a/vignettes/epa_download.Rmd b/vignettes/epa_download.Rmd
index dbb6f97a..f4f64100 100644
--- a/vignettes/epa_download.Rmd
+++ b/vignettes/epa_download.Rmd
@@ -36,7 +36,7 @@ Start by downloading the AQS data files with `download_data`.
 * `acknowledgement = TRUE`: acknowledge that data files may consume local
   storage.
 * `unzip = TRUE`: unzip downloaded zip files (default).
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir <- tempdir()
@@ -53,7 +53,7 @@ amadeus::download_data(
 ```
 
 ```{r, echo = FALSE}
-cat('[1] "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2"')
+cat('[1] "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4"')
 ```
 
 ### Processing data
diff --git a/vignettes/gridmet_workflow.Rmd b/vignettes/gridmet_workflow.Rmd
index 73bf0c68..8b3806e6 100644
--- a/vignettes/gridmet_workflow.Rmd
+++ b/vignettes/gridmet_workflow.Rmd
@@ -33,7 +33,7 @@ Start by downloading the netCDF data files with `download_data`.
 * `year = c(2019, 2020)`: years of interest.
 * `directory_to_save = dir`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir <- tempdir()
@@ -48,7 +48,7 @@ amadeus::download_data(
 ```
 
 ```{r, echo = FALSE}
-cat('[1] "aa5116525468299d1fc483b108b3e841fc40d7e5"')
+cat('[1] "aa5116525468299d1fc483b108b3e841"')
 ```
 
 Check the downloaded netCDF files.
diff --git a/vignettes/modis_workflow.Rmd b/vignettes/modis_workflow.Rmd
index b5e14879..6391de16 100644
--- a/vignettes/modis_workflow.Rmd
+++ b/vignettes/modis_workflow.Rmd
@@ -46,7 +46,7 @@ Downloaded data files are Hierarchical Data Format (HDF), with the extension `.h
 * `nasa_earth_data_token = Sys.getenv("NASA_EARTHDATA_TOKEN")`: User-specific NASA credentials.
 * `directory_to_save = dir_mod11a1`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir_mod11a1 <- file.path(tempdir(), "mod11a1")
@@ -309,7 +309,7 @@ Downloaded data files are Hierarchical Data Format version 5 (HDF5), with the ex
 * `nasa_earth_data_token = Sys.getenv("NASA_EARTHDATA_TOKEN")`: User-specific NASA credentials.
 * `directory_to_save = dir_vnp46a2`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir_vnp46a2 <- file.path(tempdir(), "vnp46a2")
@@ -547,7 +547,7 @@ cat("[1] \"vignettes/data/LAADS_query.2025-08-12T14_29.csv\"\n")
 * `mod06_links = "vignettes/data/LAADS_query.2025-08-12T14_29.csv"`: Manually downloaded CSV file with MOD06_L2 links.
 * `directory_to_save = dir_mod06l2`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir_mod06l2 <- file.path(tempdir(), "mod06l2")
diff --git a/vignettes/narr_workflow.Rmd b/vignettes/narr_workflow.Rmd
index 10344fcb..cb4664ff 100644
--- a/vignettes/narr_workflow.Rmd
+++ b/vignettes/narr_workflow.Rmd
@@ -32,7 +32,7 @@ Start by downloading the netCDF data files with `download_data`.
 * `year = c(2021, 2022)`: years of interest.
 * `directory_to_save = dir`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir <- tempdir()
diff --git a/vignettes/terraclimate_workflow.Rmd b/vignettes/terraclimate_workflow.Rmd
index 10c8d5b5..02abe930 100644
--- a/vignettes/terraclimate_workflow.Rmd
+++ b/vignettes/terraclimate_workflow.Rmd
@@ -33,7 +33,7 @@ Start by downloading the netCDF data files with `download_data`.
 * `year = c(2021, 2022)`: years of interest.
 * `directory_to_save = dir`: directory to save the downloaded files.
 * `acknowledgement = TRUE`: acknowledge that the raw data files are large and may consume lots of local storage.
-* `hash = TRUE`: generate unique SHA-1 hash for the downloaded files.
+* `hash = TRUE`: generate unique MD5 hash for the downloaded files.
 
 ```{r, eval = FALSE}
 dir <- tempdir()
@@ -48,7 +48,7 @@ amadeus::download_data(
 ```
 
 ```{r, echo = FALSE}
-cat('[1] "344cddba906371b701f661ccebeef3f427b2d8ec"')
+cat('[1] "344cddba906371b701f661ccebeef3f4"')
 ```
 
 Check the downloaded netCDF files.