Welcome to the Long-term Studies Section Data Registry. This is a publically accessible registry describing scientific data sets on ecology and the environment. In this context, we refer to a data set as the collection of data tables and objects that are associated with a study, experiment, or monitoring program. Exactly what constitutes a data set is determined by each submitter. Credit for the datasets in this registry goes to the investigators who collected the data (see each individual registry entry for citation and attribution information as well as usage rights).

Registry Tools

  • Search for Data
    The registry search system is used to locate data sets of interest by searching through existing registered data sets. Presently the search covers all fields, including author, title, abstract, keywords, and other documentation for each dataset. Use a '%' symbol as a wildcard in searches (e.g., '%biodiversity%' would locate any phrase with the word biodiversity embedded within it).
  • Browse data sets
    Browse all existing data sets by title. This operation can be slow as the number of entries in the registry grows.

  • Register a new data set
    The registration page is used to submit information about a new data set regarding ecology or the environment. The documentation about the data set will be submitted to the Registry. You (and only you, or your designee) can return to edit the entry at a later point in time to add to or correct the description. You can also use other tools such as Morpho to further document the set of data and directly attach the data to the registry entry.

  • Need an account? Forgot password?
    The account management tools are used to create and manage registry accounts. Accounts are free, and are used to identify contributors so that they can maintain their entries in the future.
  • This project is a cooperative effort of the Long-Term Studies Section (LTSS) of the ESA, the National Center for Ecological Analysis and Synthesis (NCEAS) and the Long-Term Ecological Research Network (LTER). The Data Registry is based on software developed by the Knowledge Network for Biocomplexity (KNB), and houses metadata that are compliant with Ecological Metadata Language (EML). Consequently, data registered in this registry also are accessible from the larger collection of data found in the KNB registry. Other sites contributing to the KNB registry include: