Description: The aim of the neo2R is to provide simple and low level connectors
for querying neo4j graph databases (<https://neo4j.com/>).
The objects returned by the query functions are either lists or data.frames
It allows fast processing of queries returning many records.
And it let the user handle post-processing according to the data model
Imports: base64enc, jsonlite, RCurl, utils
SystemRequirements: neo4j (==3 OR ==4) <https://neo4j.com/>

Title: Querying and Managing 'Neo4J' Databases in 'R'
Authors@R: person("Keith", "McNulty", email = "keith.mcnulty@gmail.com",
Description: Sends queries to a specified 'Neo4J' graph database, capturing results in a dataframe where appropriate.
Other useful functions for the importing and management of data on the 'Neo4J' server and basic local server admin.
Imports: magrittr, ssh, sys, fs, R.utils
SystemRequirements: neo4j - http://www.neo4j.com, cypher-shell -
Packaged: 2020-06-04 20:19:45 UTC; keithmcnulty

Packaged: 2020-08-03 19:39:51 UTC; keithmcnulty
Author: Keith McNulty [cre, aut, cph] (<https://orcid.org/0000-0002-2332-1654>)

Author: Keith McNulty [cre, aut, cph] (<https://orcid.org/0000-0002-2332-1654>),

Description: A Modern and Flexible 'Neo4J' Driver, allowing you to query
data on a 'Neo4J' server and handle the results in R. It's modern in
that can be easily integrated in a data analysis workflow, especially by
providing an API working smoothly with other data analysis and graph
packages. It's flexible in the  way it returns the results, by
possible to the way 'Neo4J' returns data. That way, you have the control
over the way you will compute the results. At the same time, the result
is not too complex, so that the "heavy lifting" of data wrangling is not
Imports: attempt, data.table, glue, httr, igraph, jsonlite, magrittr,
purrr, R6, rlang, rstudioapi, shiny, tibble, tidyr, tidyselect,

Title: Basic Data Wrangling for NEON Observational Data
Authors@R: c(person("Claire","Lunch",email="clunch@battelleecology.org",role=c("aut","cre","ctb"),comment=c(ORCID="0000-0001-8753-6593")), person("Eric","Sokol",role=c("aut","ctb"),comment=c(ORCID="0000-0001-5923-0917")), person("Natalie","Robinson",role=c("aut","ctb"),comment=c(ORCID="0000-0002-1144-418X")), person("NEON (National Ecological Observatory Network)", role="aut"))
Description: NEON observational data are provided via the NEON Data Portal <https://www.neonscience.org>
and NEON API, and can be downloaded and reformatted by the 'neonUtilities' package. NEON observational data
(human-observed measurements, and analyses derived from human-collected samples, such as tree diameters and
algal chemistry) are published in a format consisting of one or more tabular data files. This package provides
tools for performing common operations on NEON observational data, including checking for duplicates and
Imports: utils, data.table, httr, curl, jsonlite
Author: Claire Lunch [aut, cre, ctb] (<https://orcid.org/0000-0001-8753-6593>),
Natalie Robinson [aut, ctb] (<https://orcid.org/0000-0002-1144-418X>),
NEON (National Ecological Observatory Network) [aut]