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Colin Smith authored Dec 4, 2017
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Expand Up @@ -246,7 +246,7 @@ Now you are ready to synthesize your completed metadata templates into EML. This
2. **dataset.title** A character string specifying the title for your dataset. Be descriptive (more than 5 words). We recommend the following format: `Project name: Broad description: Time span` (e.g. "GLEON: Long term lake chloride concentrations from North America and Europe: 1940-2016").
3. **data.files** A list of character strings specifying the names of the data files of your dataset.
4. **data.files.description** A list of character strings briefly describing the data files listed in the data.files argument and in the same order as listed in the data.files argument.
5 **data.files.quote.character** A list of character strings defining the quote characters used in your data files and in the same order as listed in the data.files argument. If the quote character is a quotation, then enter `"\""`. If the quote character is an apostrophe, then enter `"\'"`. If there is no quote character then don't use this argument when running `make_eml`.
5. **data.files.quote.character** A list of character strings defining the quote characters used in your data files and in the same order as listed in the data.files argument. If the quote character is a quotation, then enter `"\""`. If the quote character is an apostrophe, then enter `"\'"`. If there is no quote character then don't use this argument when running `make_eml`.
6. **data.files.url** A character string specifying the URL of where your data tables are stored on a publicly accessible server (i.e. does not require user ID or password). The EDI data repository software, PASTA+, will use this to upload your data into the repository. If you will be manually uploading your data tables, then don't use this argument when running `make_eml`.
7. **temporal.coverage** A list of character strings specifying the beginning and ending dates of your dataset. Use the format `YYYY-MM-DD`.
8. **geographic.description** A character string describing the geographic coverage of your dataset.
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