Downloading and organizing plant presence and percent cover data from the National Ecological Observatory Network <https://www.neonscience.org>.

Acquires and synthesizes soil carbon fluxes at sites located in the National Ecological Observatory Network (NEON). Provides flux estimates and associated uncertainty as well as key environmental measurements (soil water, temperature, CO2  concentration) that are used to compute soil fluxes.

The National Ecological Observatory Network (NEON) provides access
  to its numerous data products through its REST API, 
  <https://data.neonscience.org/data-api/>. This package provides a
  high-level user interface for downloading and storing NEON data products.
  Unlike 'neonUtilities', this package will avoid repeated downloading,
  provides persistent storage, and improves performance.  'neonstore' can also
  construct a local 'duckdb' database of stacked tables, making it possible
  to work with tables that are far to big to fit into memory.

NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org>
    or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from
    the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files
    can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting 
    data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and 
    converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.

Access and manipulation of data using the Neotoma Paleoecology Database.
        <https://api.neotomadb.org/api-docs/>.

Set of functions to estimate kidney function and other phenotypes of interest in nephrology based on different biomechimal traits.

Package for a Network assisted algorithm for Epigenetic studies using mean and variance Combined signals: NEpiC. NEpiC combines both signals in mean and variance differences in methylation level between case and control groups searching for differentially methylated sub-networks (modules) using the protein-protein interaction network.