The JSON-LD format was used to enforce machine-readable metadata, allowing software agents to parse and understand the metadata. Moreover, using the schema.org vocabulary allows the annotated resource to be discoverable by search engines like the Google dataset search that will recognize and index any web page that uses the schema.org "Dataset" annotation. However, learning JSON-LD needs time and dedication, which may not be feasible for all researchers, especially from a different domain like wet-lab experimentalists. Therefore, an easy-to-use web application was developed to allow researchers and data creators in the nanosafety domain to create metadata for their datasets in JSON-LD, which can be embedded in any web page. With such flexibility being provided, discoverable datasets are not limited to data repositories and registries. However, they can be extended to any form of websites like personal blogs, tutorials, courses, and institutions websites. It is worth mentioning that some online repositories like Figshare already use JSON-LD as a metadata representation format for the datasets published on that platform. The metadata also uses the schema.org vocabulary and the Dataset class annotation.