diff --git a/Tutorial_DataSubmission_R.qmd b/Tutorial_DataSubmission_R.qmd
new file mode 100644
index 0000000..9df94b9
--- /dev/null
+++ b/Tutorial_DataSubmission_R.qmd
@@ -0,0 +1,207 @@
+---
+title: "API_CreateSubmit_Tutorial"
+output: pdf_document
+date: "2024-08-03"
+---
+
+```{r}
+#| label: "setup"
+#| include: false
+knitr::opts_chunk$set(echo = TRUE)
+```
+
+# Tutorial: Data Submission to ESS-DIVE SANDBOX Using API
+
+The ESS-DIVE Dataset API is a service that enables projects to programmatically
+submit and manage datasets with ESS-DIVE. This is an alternative to using the
+ESS-DIVE Online form for data uploads. This service encodes metadata using the
+JSON-LD specification. JSON-LD is a schema to encode linked Data using JSON,
+and in the future will be used by Google to index metadata for searches.
+The use of the standardized JSON-LD schema will dramatically increase the
+visibility of datasets, and also enable projects to create one-time code
+that can be reused for periodic uploads of datasets to ESS-DIVE. 
+
+⭐ Contact ess-dive-support@lbl.gov to 
+**submit more than 10GB per upload attempt**.
+Additional permissions are required.
+
+⭐ Current Maximum Upload Limit: **500 GB per upload attempt** 
+
+Please contact ess-dive-support@lbl.gov to submit more than 500GB of
+data at once.
+
+Use Sandbox https://api-sandbox.ess-dive.lbl.gov when testing code to submit
+datasets to ESS-DIVE. All code examples use sandbox. Once you have tested your
+code and you're ready to create new datasets for publication, use our
+production domain https://api.ess-dive.lbl.gov/.
+
+For additional information about the API, review the documentation at https://api-sandbox.ess-dive.lbl.gov.
+
+Email ESS-DIVE at ess-dive-support@lbl.gov if you require assistance
+
+Before creating datasets, you must be registered as an ESS-DIVE data
+contributor. To become a data contributor, set up your account by logging in
+with your ORCID, then fill out the New Data Contributor form. 
+
+After approval, you will be able to find your authentication token in
+your ESS-DIVE profile. This token is required to submit datasets
+through the API.
+
+## Setup
+### Get Authentication Token
+
+1. Go to https://data-sandbox.ess-dive.lbl.gov
+2. Sign in with Orcid
+3. Click your Name in the right hand corner and select My Profile
+4. Now Click the Settings > Authentication Token
+5. Scroll down and click Copy on the “Token” tab to get your
+authentication token
+
+⭐️ If you are not already registered to submit data with ESS-DIVE,
+follow the steps on the Register to Submit Data page: https://docs.ess-dive.lbl.gov/contributing-data/new-contributor-registration
+
+### Install Packages
+
+```{r}
+#| label: "package installs"
+
+install.packages("httr2")
+install.packages("jsonlite")
+install.packages("readr")
+
+# Require the package so you can use it
+require("httr2")
+require("curl")
+library(readr)
+library(jsonlite)
+```
+
+### Dataset API Information and Token
+
+You will need to copy your authentication token from your profile on ESS-DIVE.
+Tokens expire *every 24 hours.*
+
+```{r}
+#| label: "query buidling"
+
+token <- "<ENTER TOKEN HERE>"
+
+# DO NOT EDIT
+header_authorization <- paste("bearer",
+                              token,
+                              sep=" ")
+base <- "https://api-sandbox.ess-dive.lbl.gov"
+endpoint <- "packages"
+```
+
+## Submit a Dataset
+### Create Metadata
+
+Due to R complex JSON-LD support limitations, you need to create a text file of
+your JSON-LD and add it’s directory in the following read_file function.
+Here’s an example for a JSON-LD located on our ESS-DIVE package service
+examples github repository
+(https://github.com/ess-dive/essdive-package-service-examples). 
+
+While creating your metadata, refer to the Dataset Requirements page for
+instructions on completing each metadata field: https://docs.ess-dive.lbl.gov/contributing-data/package-level-metadata
+
+To make sure your file is properly saved in the JSON-LD format.
+
+Once you have completed your metadata file, enter the path to replace
+the below example.
+
+```{r}
+json_file <- readr::read_file("example-1.jsonld")
+```
+
+## Submit Your Dataset
+### Submitting Only Metadata
+
+```{r}
+# DO NOY EDIT
+
+# Construct the request
+req <- request(base_url = base) |>
+  # Add the endpoint to the url
+  req_url_path_append(paste0("/",
+                            endpoint)) |> 
+  # Attach headers
+  req_headers(Authorization = header_authorization,
+              "Content-Type"="application/json") |> 
+  # Attach the json file to the request body
+  req_body_raw(json_file)
+
+# See the request that will be sent
+req |> 
+  req_dry_run()
+
+# Send the request
+resp <- req |> 
+  req_perform()
+```
+
+Review results. results allows you to view your dataset ID, URL, the full
+dataset metadata (`results$dataset`), warnings or errors, and details about
+dataset submission. If your dataset has been submitted correctly,
+`results$detail` should return "Dataset created successfully."
+
+```{r}
+# Take response body and extract it
+extracted_resp <- resp |> 
+  httr2::resp_body_json(simplifyVector = TRUE)
+
+# What are the response elements
+attributes(extracted_resp)
+
+# View metadata
+extracted_resp$detail
+extracted_resp$viewUrl
+extracted_resp$errors
+```
+
+### Submit Metadata and Data
+
+To submit the metadata and a data file, create a folder and add your data file
+to it then execute the following code:
+
+```{r}
+# Construct the request
+req <- request(base_url = base) |>
+  # Add the endpoint to the url
+  req_url_path_append(paste0("/",
+                            endpoint)) |> 
+  # Attach headers
+  req_headers(Authorization = header_authorization,
+              "Content-Type"="multipart/form-data") |> 
+  # Attach the JSON metadata and the CSV data file to the request body
+  req_body_multipart("json-ld"=json_file,
+                     data = curl::form_file("example_datafile.csv"))
+
+# See the request that will be sent
+req |> 
+  req_dry_run()
+
+# Send the request
+resp <- req |> 
+  req_perform()
+```
+
+Review results. results allows you to view your dataset ID, URL, the full
+dataset metadata (`results$dataset`), warnings or errors, and details about
+dataset submission. If your dataset has been submitted correctly,
+`results$detail` should return "Dataset created successfully."
+
+```{r}
+# Take response body and extract it
+extracted_resp <- resp |> 
+  httr2::resp_body_json(simplifyVector = TRUE)
+
+# What are the response elements
+attributes(extracted_resp)
+
+# View metadata
+extracted_resp$detail
+extracted_resp$viewUrl
+extracted_resp$errors
+```