Package 'neonUtilities'

Title: Utilities for Working with NEON Data
Description: 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>.
Authors: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON (National Ecological Observatory Network) [aut]
Maintainer: Claire Lunch <[email protected]>
License: AGPL-3
Version: 2.4.3
Built: 2024-12-05 19:40:22 UTC
Source: CRAN

Help Index


Serially download all AOP files for a given site, year, and product

Description

Query the API for AOP data by site, year, and product, and download all files found, preserving original folder structure. Downloads serially to avoid overload; may take a very long time.

Usage

byFileAOP(
  dpID,
  site,
  year,
  include.provisional = FALSE,
  check.size = TRUE,
  savepath = NA,
  token = NA_character_
)

Arguments

dpID

The identifier of the NEON data product to pull, in the form DPL.PRNUM.REV, e.g. DP1.10023.001

site

The four-letter code of a single NEON site, e.g. 'CLBJ'.

year

The four-digit year to search for data. Defaults to 2017.

include.provisional

T or F, should provisional data be included in downloaded files? Defaults to F. See https://www.neonscience.org/data-samples/data-management/data-revisions-releases for details on the difference between provisional and released data.

check.size

T or F, should the user approve the total file size before downloading? Defaults to T. When working in batch mode, or other non-interactive workflow, use check.size=F.

savepath

The file path to download to. Defaults to NA, in which case the working directory is used.

token

User specific API token (generated within data.neonscience user accounts)

Value

A folder in the working directory, containing all files meeting query criteria.

Author(s)

Claire Lunch [email protected] Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To download 2017 vegetation index data from San Joaquin Experimental Range:
byFileAOP(dpID="DP3.30026.001", site="SJER", year="2017")

## End(Not run)

Download AOP tiles overlapping specified coordinates for a given site, year, and product

Description

Query the API for AOP data by site, year, product, and tile location, and download all files found. Downloads serially to avoid overload; may take a very long time.

Usage

byTileAOP(
  dpID,
  site,
  year,
  easting,
  northing,
  buffer = 0,
  include.provisional = FALSE,
  check.size = TRUE,
  savepath = NA,
  token = NA_character_
)

Arguments

dpID

The identifier of the NEON data product to pull, in the form DPL.PRNUM.REV, e.g. DP1.10023.001

site

The four-letter code of a single NEON site, e.g. 'CLBJ'.

year

The four-digit year to search for data. Defaults to 2017.

easting

A vector containing the easting UTM coordinates of the locations to download.

northing

A vector containing the northing UTM coordinates of the locations to download.

buffer

Size, in meters, of the buffer to be included around the coordinates when determining which tiles to download. Defaults to 0. If easting and northing coordinates are the centroids of NEON TOS plots, use buffer=20.

include.provisional

T or F, should provisional data be included in downloaded files? Defaults to F. See https://www.neonscience.org/data-samples/data-management/data-revisions-releases for details on the difference between provisional and released data.

check.size

T or F, should the user approve the total file size before downloading? Defaults to T. When working in batch mode, or other non-interactive workflow, use check.size=F.

savepath

The file path to download to. Defaults to NA, in which case the working directory is used.

token

User specific API token (generated within neon.datascience user accounts)

Value

A folder in the working directory, containing all files meeting query criteria.

Author(s)

Claire Lunch [email protected] Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Bundled chemistry data product information

Description

A dataset containing NEON data product codes of terrestrial chemistry data products and the "home" data products they are bundled with.

Usage

chem_bundles

Format

A data frame with 2 variables:

product

Data product ID of a terrestrial chemistry product

homeProduct

Data product ID of the corresponding home data product

Source

NEON data product bundles


Convert a number of bytes into megabytes or gigabytes

Description

For any number of bytes, convert to a number of MB or GB

Usage

convByteSize(objSize)

Arguments

objSize

The size in bytes

Value

The size of the file in megabytes or gigabytes

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Extract eddy covariance footprint data from HDF5 format

Description

Create a raster of flux footprint data. Specific to expanded package of eddy covariance data product: DP4.00200.001 For definition of a footprint, see Glossary of Meteorology: https://glossary.ametsoc.org/wiki/Footprint For background information about flux footprints and considerations around the time scale of footprint calculations, see Amiro 1998: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.922.4124&rep=rep1&type=pdf

Usage

footRaster(filepath)

Arguments

filepath

One of: a folder containing NEON EC H5 files, a zip file of DP4.00200.001 data downloaded from the NEON data portal, a folder of DP4.00200.001 data downloaded by the neonUtilities::zipsByProduct() function, or a single NEON EC H5 file. Filepath can only contain files for a single site. [character]

Details

Given a filepath containing H5 files of expanded package DP4.00200.001 data, extracts flux footprint data and creates a raster.

Value

A rasterStack object containing all the footprints in the input files, plus one layer (the first in the stack) containing the mean footprint.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To run the function on a zip file downloaded from the NEON data portal:
ftprnt <- footRaster(filepath="~/NEON_eddy-flux.zip")

## End(Not run)

Get the data from API

Description

Accesses the API with options to use the user-specific API token generated within neon.datascience user accounts.

Usage

getAPI(apiURL, token = NA_character_)

Arguments

apiURL

The API endpoint URL

token

User specific API token (generated within neon.datascience user accounts). Optional.

Author(s)

Nate Mietkiewicz [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get only headers from API

Description

Accesses the API with options to use the user-specific API token generated within neon.datascience user accounts.

Usage

getAPIHeaders(apiURL, token = NA_character_)

Arguments

apiURL

The API endpoint URL

token

User specific API token (generated within neon.datascience user accounts). Optional.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get a list of the available averaging intervals for a data product

Description

Most IS products are available at multiple averaging intervals; get a list of what's available for a given data product

Usage

getAvg(dpID, token = NA_character_)

Arguments

dpID

The identifier of the NEON data product, in the form DPL.PRNUM.REV, e.g. DP1.00006.001

token

User specific API token (generated within neon.datascience user accounts)

Value

A vector of the available averaging intervals, typically in minutes.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

# Get available averaging intervals for PAR data product
getAvg("DP1.00024.001")

Get a Bibtex citation for NEON data with a DOI, or generate a provisional Bibtex citation

Description

Use the DOI Foundation API to get Bibtex-formatted citations for NEON data, or use a template to generate a Bibtex citation for provisional data. Helper function to download and stacking functions.

Usage

getCitation(dpID = NA_character_, release = NA_character_)

Arguments

dpID

The data product ID of the data to be cited [character]

release

The data release to be cited. Can be provisional. [character]

Value

A character string containing the Bibtex citation

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# Get the citation for Breeding landbird point counts (DP1.10003.001), RELEASE-2023
cit <- getCitation(dpID="DP1.10003.001", release="RELEASE-2023")

## End(Not run)

Get NEON data table

Description

This is a function to retrieve a data table from the NEON data portal for sites and dates provided by the enduser. NOTE that this function only works for NEON Observation System (OS) data products, and only for select tables

Usage

getDatatable(
  dpid = NA,
  data_table_name = NA,
  sample_location_list = NA,
  sample_location_type = "siteID",
  sample_date_min = "2012-01-01",
  sample_date_max = Sys.Date(),
  sample_date_format = "%Y-%m-%d",
  data_package_type = "basic",
  url_prefix_data = "https://data.neonscience.org/api/v0/data/",
  url_prefix_products = "https://data.neonscience.org/api/v0/products/",
  token = NA_character_
)

Arguments

dpid

character sting for NEON data product ID

data_table_name

character sting for name of the data table to download, e.g., 'sls_soilCoreCollection'

sample_location_list

list of sites, domains, etc. If NA, retrieve all data for the given data table / dpid combination.

sample_location_type

character sting for location type, such as 'siteID'. Must be one of the NEON controlled terms. If you're unsure, use 'siteID'

sample_date_min

start date for query. Default is 1-Jan-2012, and this should capture the earliest NEON data record.

sample_date_max

end date for query. Default is current date.

sample_date_format

date format. Default/expected format is yyyy-mm-dd

data_package_type

package type, either 'basic' or 'expanded'. If unsure, use 'expanded'

url_prefix_data

data endpoint for NEON API.

url_prefix_products

products endpoint for NEON API.

token

User specific API token (generated within neon.datascience user accounts)

Value

data frame with selected NEON data

Author(s)

Eric R. Sokol [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get the full issue log set for the SAE bundle

Description

Use the NEON API to get the issue log from all products in the bundle in a user-friendly format

Usage

getEddyLog(token = NA_character_)

Arguments

token

User specific API token (generated within neon.datascience user accounts)

Value

A table of issues reported for the data product.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get and store the file names, S3 URLs, file size, and download status (default = 0) in a data frame

Description

Used to generate a data frame of available AOP files.

Usage

getFileUrls(m.urls, include.provisional, token = NA)

Arguments

m.urls

The monthly API URL for the AOP files

include.provisional

T or F, should provisional data be included in downloaded files?

token

User specific API token (generated within neon.datascience user accounts)

Value

A dataframe comprised of file names, S3 URLs, file size, and download status (default = 0)

Author(s)

Claire Lunch [email protected] Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get the issue log for a specific data product

Description

Use the NEON API to get the issue log in a user-friendly format

Usage

getIssueLog(dpID = NA, token = NA_character_)

Arguments

dpID

The data product identifier, formatted as DP#.#####.###

token

User specific API token (generated within neon.datascience user accounts)

Value

A table of issues reported for the data product.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

# Get documentation and availability of plant foliar properties data product
cfcIssues <- getIssueLog("DP1.10026.001")

Get either a list of NEON DOIs, or the DOI for a specific data product and release

Description

Use the DataCite API to get NEON data DOIs in a user-friendly format

Usage

getNeonDOI(dpID = NA_character_, release = NA_character_)

Arguments

dpID

The data product identifier, formatted as DP#.#####.### [character]

release

Name of a specific release, e.g. RELEASE-2022 [character]

Value

A table of data product IDs and DOIs.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# Get all NEON data DOIs
allDOIs <- getNeonDOI()

## End(Not run)

Get NEON data package

Description

Get a zipped file for a single data product, site, and year-month combination. Use the NEON data portal or API to determine data availability by data product, site, and year-month combinations.

Usage

getPackage(dpID, site_code, year_month, package = "basic", savepath = getwd())

Arguments

dpID

The identifier of the NEON data product to pull, in the form DPL.PRNUM.REV, e.g. DP1.10023.001

site_code

A four-letter NEON research site code, such as HEAL for Healy.

year_month

The year and month of interest, in format YYYY-MM.

package

Either 'basic' or 'expanded', indicating which data package to download. Defaults to basic.

savepath

The location to save the output files to

Value

A zipped monthly file

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get NEON data product information

Description

Use the NEON API to get data product information such as availability, science team, etc.

Usage

getProductInfo(dpID = "", token = NA)

Arguments

dpID

The data product id (optional), formated as DP#.#####.###

token

User specific API token (generated within neon.datascience user accounts)

Value

A named list of metadata and availability information for a single data product. If the dpID argument is omitted, a table of information for all data products in the NEON catalog.

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

# Get documentation and availability of plant foliar properties data product
cfcInfo <- getProductInfo("DP1.10026.001")

Get data product-sensor relationships

Description

Pull all data from the NEON API /products endpoint, create a data frame with data product ID, data product name, and sensor type.

Usage

getProductSensors()

Value

A data frame

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
sensors <- getProductSensors()

## End(Not run)

Scrape the publication date from each ReadMe file

Description

Given a directory, this will recursively list all of the ReadMe files that were unzipped. This should result in a single text file with a list of all of the publication dates from the ReadMe file.

Usage

getReadmePublicationDate(savepath, out_filepath, dpID)

Arguments

savepath

The root folder directory where the ReadMe files are located.

out_filepath

The output directory and filename.

dpID

The data product identifier

Author(s)

Nathan Mietkiewicz [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Returns the most recent files for those that do not need stacking

Description

Given a list of files, this will order and return the file with the most recent publication date.

Usage

getRecentPublication(inList)

Arguments

inList

The list of files.

Author(s)

Nathan Mietkiewicz [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get NEON taxon table

Description

This is a function to retrieve a taxon table from the NEON data portal for the taxon type by the enduser.

Usage

getTaxonTable(
  taxonType = NA,
  recordReturnLimit = NA,
  stream = "true",
  token = NA
)

Arguments

taxonType

Character string for the taxonTypeCode. Must be one of ALGAE, BEETLE, BIRD, FISH, HERPETOLOGY, MACROINVERTEBRATE, MOSQUITO, MOSQUITO_PATHOGENS, SMALL_MAMMAL, PLANT, TICK

recordReturnLimit

Integer. The number of items to limit the result set to. If NA, will return all records in table.

stream

Character string, true or false. Option to obtain the result as a stream. Utilize for large requests.

token

User specific API token (generated within neon.datascience user accounts)

Value

data frame with selected NEON data

Author(s)

Eric R. Sokol [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get and store the file names, S3 URLs, file size, and download status (default = 0) in a data frame

Description

Produces a data frame that is populated by available tiles for the AOP product.

Usage

getTileUrls(
  m.urls,
  tileEasting,
  tileNorthing,
  include.provisional,
  token = NA_character_
)

Arguments

m.urls

The monthly API URL for the AOP tile.

tileEasting

A vector containing the easting UTM coordinates of the locations to download.

tileNorthing

A vector containing the northing UTM coordinates of the locations to download.

include.provisional

T or F, should provisional data be included in downloaded files?

token

User specific API token (generated within neon.datascience user accounts). Optional.

Value

A dataframe comprised of file names, S3 URLs, file size, and download status (default = 0)

Author(s)

Claire Lunch [email protected] Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get a list of the available time intervals for a data product

Description

Most IS products are available at multiple time intervals; get a list of what's available for a given data product

Usage

getTimeIndex(dpID, token = NA_character_)

Arguments

dpID

The identifier of the NEON data product, in the form DPL.PRNUM.REV, e.g. DP1.00006.001

token

User specific API token (generated within neon.datascience user accounts)

Value

A vector of the available time intervals, typically in minutes.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

# Get available time intervals for PAR data product
getTimeIndex("DP1.00024.001")

Extract list of eddy covariance tables from HDF5 files

Description

Extracts a list of table metadata from a single HDF5 file. Specific to eddy covariance data product: DP4.00200.001. Can inform inputs to stackEddy(); variables listed in 'name' are available inputs to the 'var' parameter in stackEddy().

Usage

getVarsEddy(filepath)

Arguments

filepath

The folder containing the H5 file [character]

Value

A data frame of the metadata for each data table in the HDF5 file

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# read variables from a file in a hypothetical filepath
ec.vars <- getVarsEddy(filepath='/data/NEON.D19.BONA.DP4.00200.001.nsae.2017-12.basic.h5')

## End(Not run)

Get and store the file names, S3 URLs, file size, and download status (default = 0) in a data frame

Description

Used to generate a data frame of available zipfile URLs.

Usage

getZipUrls(
  month.urls,
  avg,
  package,
  dpID,
  release,
  messages,
  tabl,
  include.provisional,
  token = NA_character_
)

Arguments

month.urls

The monthly API URL for the URL files

avg

Global variable for averaging interval

package

Global varaible for package type (basic or expanded)

dpID

Global variable for data product ID

release

Data release to be downloaded

messages

Error/warning messages from previous steps

tabl

Table name to get

include.provisional

Should provisional data be included?

token

User specific API token (generated within neon.datascience user accounts)

Value

A dataframe comprised of file names, S3 URLs, file size, and download status (default = 0)

Author(s)

Claire Lunch [email protected] Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get a data frame with the names of all files within a zipped NEON data package

Description

Given the top level zip file, return dataframe of all of the files within it without unzipping the file

Usage

listFilesInZip(zippath)

Arguments

zippath

The path to a zip file

Value

A list of filenames within the given zip file

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get all zip file names within a zipped NEON data package

Description

Given the data frame of all the files within the top level zip file, return an array of just the zip file names (no pdf, xml, or other files).

Usage

listZipfiles(zippath)

Arguments

zippath

The path to a zip file

Value

An array of all zip files contained within the focal zip file

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get files from NEON API, stack tables, and load into the current environment

Description

Pull files from the NEON API, by data product, merge data for each table, and read into the current R environment

Usage

loadByProduct(
  dpID,
  site = "all",
  startdate = NA,
  enddate = NA,
  package = "basic",
  release = "current",
  timeIndex = "all",
  tabl = "all",
  check.size = TRUE,
  include.provisional = FALSE,
  nCores = 1,
  forceParallel = FALSE,
  token = NA_character_,
  useFasttime = FALSE,
  avg = NA
)

Arguments

dpID

The identifier of the NEON data product to pull, in the form DPL.PRNUM.REV, e.g. DP1.10023.001

site

Either the string 'all', meaning all available sites, or a character vector of 4-letter NEON site codes, e.g. c('ONAQ','RMNP'). Defaults to all.

startdate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA.

enddate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA.

package

Either 'basic' or 'expanded', indicating which data package to download. Defaults to basic.

release

The data release to be downloaded; either 'current' or the name of a release, e.g. 'RELEASE-2021'. 'current' returns the most recent release, as well as provisional data if include.provisional is set to TRUE. To download only provisional data, use release='PROVISIONAL'. Defaults to 'current'.

timeIndex

Either the string 'all', or the time index of data to download, in minutes. Only applicable to sensor (IS) data. Defaults to 'all'.

tabl

Either the string 'all', or the name of a single data table to download. Defaults to 'all'.

check.size

T or F, should the user approve the total file size before downloading? Defaults to T. When working in batch mode, or other non-interactive workflow, use check.size=F.

include.provisional

T or F, should provisional data be included in downloaded files? Defaults to F. See https://www.neonscience.org/data-samples/data-management/data-revisions-releases for details on the difference between provisional and released data.

nCores

The number of cores to parallelize the stacking procedure. By default it is set to a single core.

forceParallel

If the data volume to be processed does not meet minimum requirements to run in parallel, this overrides. Set to FALSE as default.

token

User specific API token (generated within neon.datascience user accounts)

useFasttime

Should the fasttime package be used to read date-time fields? Defaults to false.

avg

Deprecated; use timeIndex

Details

All available data meeting the query criteria will be downloaded. Most data products are collected at only a subset of sites, and dates of collection vary. Consult the NEON data portal for sampling details. Dates are specified only to the month because NEON data are provided in monthly packages. Any month included in the search criteria will be included in the download. Start and end date are inclusive.

Value

A named list of all the data tables in the data product downloaded, plus a validation file and a variables file, as available.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To download plant foliar properties data from all sites, expanded data package:
cfc <- loadByProduct(dpID="DP1.10026.001", site="all", package="expanded")

## End(Not run)

Bundled vegetation and sediment data product information

Description

A dataset containing NEON data product codes of vegetation and sediment data products and the "home" data products they are bundled with.

Usage

other_bundles

Format

A data frame with 2 variables:

product

Data product ID of a product

homeProduct

Data product ID of the corresponding home data product

Source

NEON data product bundles


Will suppress all output messages, while retaining the output dataframe

Description

Used to quiet all output messages

Usage

quietMessages(toBeQuieted)

Arguments

toBeQuieted

Input to be quieted

Value

The expected output without associated messages/warnings.

Author(s)

Nate Mietkiewicz [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Read a NEON data table with correct data types for each variable

Description

Load a table into R, assigning classes to each column based on data types in variables file; or convert a table already loaded

Usage

readTableNEON(dataFile, varFile, useFasttime = FALSE)

Arguments

dataFile

A data frame containing a NEON data table, or the filepath to a data table to load

varFile

A data frame containing the corresponding NEON variables file, or the filepath to the variables file

useFasttime

Should the fasttime package be used to read date-time variables? Defaults to false.

Value

A data frame of a NEON data table, with column classes assigned by data type

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Terrestrial-aquatic shared data information

Description

A dataset containing NEON site codes and data product IDs for places where meteorological data from terrestrial sites are used as the data of record for nearby aquatic sites as well.

Usage

shared_aquatic

Format

A data frame with 3 variables:

site

site code of a NEON aquatic site

towerSite

site code of the NEON terrestrial site used as the data source for the corresponding aquatic site

product

Data product ID of the data products to which the corresponding terrestrial-aquatic site relationship relates

Source

NEON site layouts and spatial design


Flight coverage information

Description

A dataset containing NEON site codes for places where a single AOP flight may cover multiple sites

Usage

shared_flights

Format

A data frame with 2 variables:

site

site code of a NEON site

flightSite

site code that matches the file naming for flights that may include "site"

Source

NEON flight plans


Join data files in a zipped NEON data package by table type

Description

Given a zipped data file, do a full join of all data files, grouped by table type. This should result in a small number of large files.

Usage

stackByTable(
  filepath,
  savepath = NA,
  folder = FALSE,
  saveUnzippedFiles = FALSE,
  dpID = NA,
  package = NA,
  nCores = 1,
  useFasttime = FALSE
)

Arguments

filepath

The location of the zip file

savepath

The location to save the output files to

folder

T or F: does the filepath point to a parent, unzipped folder, or a zip file? If F, assumes the filepath points to a zip file. Defaults to F. No longer needed; included for back compatibility.

saveUnzippedFiles

T or F: should the unzipped monthly data folders be retained?

dpID

Data product ID of product to stack. Ignored and determined from data unless input is a vector of files, generally via stackFromStore().

package

Data download package, either basic or expanded. Ignored and determined from data unless input is a vector of files, generally via stackFromStore().

nCores

The number of cores to parallelize the stacking procedure. To automatically use the maximum number of cores on your machine we suggest setting nCores=parallel::detectCores(). By default it is set to a single core.

useFasttime

Should the fasttime package be used to read date-time variables? Only relevant if savepath="envt". Defaults to false.

Value

All files are unzipped and one file for each table type is created and written. If savepath="envt" is specified, output is a named list of tables; otherwise, function output is null and files are saved to the location specified.

Author(s)

Christine Laney [email protected] Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To unzip and merge files downloaded from the NEON Data Portal
stackByTable("~/NEON_par.zip")

# To unzip and merge files downloaded using zipsByProduct()
stackByTable("~/filesToStack00024")

## End(Not run)

Join data files in a unzipped NEON data package by table type

Description

Given a folder of unzipped files (unzipped NEON data file), do a full join of all data files, grouped by table type. This should result in a small number of large files.

Usage

stackDataFilesParallel(folder, nCores = 1, dpID)

Arguments

folder

The location of the data

nCores

The number of cores to parallelize the stacking procedure. To automatically use the maximum number of cores on your machine we suggest setting 'nCores=parallel::detectCores()'. By default it is set to a single core. If the files are less than 25000 bytes the userdefined nCores will be overridden to a single core.

dpID

The data product identifier

Value

One file for each table type is created and written.

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Extract eddy covariance data from HDF5 format

Description

Convert data of choice from HDF5 to tabular format. Specific to eddy covariance data product: DP4.00200.001

Usage

stackEddy(
  filepath,
  level = "dp04",
  var = NA,
  avg = NA,
  metadata = FALSE,
  useFasttime = FALSE,
  runLocal = FALSE
)

Arguments

filepath

One of: a folder containing NEON EC H5 files, a zip file of DP4.00200.001 data downloaded from the NEON data portal, a folder of DP4.00200.001 data downloaded by the neonUtilities::zipsByProduct() function, or a single NEON EC H5 file [character]

level

The level of data to extract; one of dp01, dp02, dp03, dp04 [character]

var

The variable set to extract. Can be any of the variables in the "name" level or the "system" level of the H5 file; use the getVarsEddy() function to see the available variables. From the inputs, all variables from "name" and all variables from "system" will be returned, but if variables from both "name" and "system" are specified, the function will return only the intersecting set. This allows the user to, e.g., return only the pressure data ("pres") from the CO2 storage system ("co2Stor"), instead of all the pressure data from all instruments. [character]

avg

The averaging interval to extract, in minutes [numeric]

metadata

Should the output include metadata from the attributes of the H5 files? Defaults to false. Even when false, variable definitions, issue logs, and science review flags will be included. [logical]

useFasttime

Should the fasttime package be used to convert time stamps to time format? Decreases stacking time but can introduce imprecision at the millisecond level. Defaults to false. [logical]

runLocal

Set to TRUE to omit any calls to the NEON API. Data are extracted and reformatted from local files, but citation and issue log are not retrieved. [logical]

Details

Given a filepath containing H5 files of DP4.00200.001 data, extracts variables, stacks data tables over time, and joins variables into a single table. For data product levels 2-4 (dp02, dp03, dp04), joins all available data, except for the flux footprint data in the expanded package. For dp01, an averaging interval and a set of variable names must be provided as inputs.

Value

A named list of data frames. One data frame per site, plus one data frame containing the metadata (objDesc) table and one data frame containing units for each variable (variables).

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To extract and merge Level 4 data tables, where data files are in the working directory
flux <- stackEddy(filepath=getwd(), level='dp04', var=NA, avg=NA)

## End(Not run)

Select files from a stored set of NEON data, created by neonstore package methods or another method

Description

Select files from a stored set based on input criteria and pass to stackByTable() or stackEddy()

Usage

stackFromStore(
  filepaths,
  dpID,
  site = "all",
  startdate = NA,
  enddate = NA,
  pubdate = NA,
  timeIndex = "all",
  level = "dp04",
  var = NA,
  zipped = FALSE,
  package = "basic",
  load = TRUE,
  nCores = 1
)

Arguments

filepaths

Either a vector of filepaths pointing to files to be stacked, or a single directory containing files that can be stacked, with selection criteria detmined by the other inputs. In both cases files to be stacked must be either site-month zip files or unzipped folders corresponding to site-month zips. [character]

dpID

The NEON data product ID of the data to be stacked [character]

site

Either "all" or a vector of NEON site codes to be stacked [character]

startdate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA. [character]

enddate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA. [character]

pubdate

The maximum publication date of data to include in stacking, in the form YYYY-MM-DD. If NA, the most recently published data for each product-site-month combination will be selected. Otherwise, the most recent publication date that is older than pubdate will be selected. Thus the data stacked will be the data that would have been accessed on the NEON Data Portal, if it had been downloaded on pubdate. [character]

timeIndex

Either the string 'all', or the time index of data to be stacked, in minutes. Only applicable to sensor (IS) and eddy covariance data. Defaults to 'all'. [character]

level

Data product level of data to stack. Only applicable to eddy covariance (SAE) data; see stackEddy() documentation. [character]

var

Variables to be extracted and stacked from H5 files. Only applicable to eddy covariance (SAE) data; see stackEddy() documentation. [character]

zipped

Should stacking use data from zipped files or unzipped folders? This option allows zips and their equivalent unzipped folders to be stored in the same directory; stacking will extract whichever is specified. Defaults to FALSE, i.e. stacking using unzipped folders. [logical]

package

Either "basic" or "expanded", indicating which data package to stack. Defaults to basic. [character]

load

If TRUE, stacked data are read into the current R environment. If FALSE, stacked data are written to the directory where data files are stored. Defaults to TRUE. [logical]

nCores

Number of cores to use for optional parallel processing. Defaults to 1. [integer]

Value

If load=TRUE, returns a named list of stacked data tables. If load=FALSE, return is empty and stacked files are written to data directory.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Publication table information

Description

A dataset containing publication table names, descriptions, type (site-date, site-all, lab-all, lab-current), and a time index

Usage

table_types

Format

A data frame with 5 variables. Number of rows changes frequently as more tables are added:

productID

data product ID

tableName

name of table

tableDesc

description of table

tableType

type of table (important for knowing which tables to stack, and how to stack)

tableTMI

a time index (e.g., 0 = native resolution, 1 = 1 minute, 30 = 30 minute averages or totals)

Source

NEON database


Transform NEON CSV file to GeoCSV

Description

Read in a NEON monthly data zip file and parse the respective variables file to create a new GeoCSV file

Usage

transformFileToGeoCSV(infile, varfile, outfile)

Arguments

infile

The path to the file that needs to be parsed

varfile

The path to the variables file needed to parse the infile

outfile

The path where the new GeoCSV file should be placed

Value

The same data file with a GeoCSV header

Author(s)

Christine Laney [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Unzip a zip file either at just the top level or recursively through the file

Description

Unzip a zip file either at just the top level or recursively through the file

Usage

unzipZipfileParallel(
  zippath,
  outpath = substr(zippath, 1, nchar(zippath) - 4),
  level = "all",
  nCores = 1
)

Arguments

zippath

The filepath of the input file

outpath

The name of the folder to save unpacked files to

level

Whether the unzipping should occur only for the 'top' zip file, or unzip 'all' recursively, or only files 'in' the folder specified

nCores

Number of cores to use for parallelization

Author(s)

Christine Laney [email protected] Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007


Get files from NEON API to feed the stackByTable() function

Description

Pull files from the NEON API, by data product, in a structure that will allow them to be stacked by the stackByTable() function

Usage

zipsByProduct(
  dpID,
  site = "all",
  startdate = NA,
  enddate = NA,
  package = "basic",
  release = "current",
  timeIndex = "all",
  tabl = "all",
  check.size = TRUE,
  include.provisional = FALSE,
  savepath = NA,
  load = F,
  token = NA_character_,
  avg = NA
)

Arguments

dpID

The identifier of the NEON data product to pull, in the form DPL.PRNUM.REV, e.g. DP1.10023.001

site

Either the string 'all', meaning all available sites, or a character vector of 4-letter NEON site codes, e.g. c('ONAQ','RMNP'). Defaults to all.

startdate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA.

enddate

Either NA, meaning all available dates, or a character vector in the form YYYY-MM, e.g. 2017-01. Defaults to NA.

package

Either 'basic' or 'expanded', indicating which data package to download. Defaults to basic.

release

The data release to be downloaded; either 'current' or the name of a release, e.g. 'RELEASE-2021'. 'current' returns the most recent release, as well as provisional data if include.provisional is set to TRUE. To download only provisional data, use release='PROVISIONAL'. Defaults to 'current'.

timeIndex

Either the string 'all', or the time index of data to download, in minutes. Only applicable to sensor (IS) data. Defaults to 'all'.

tabl

Either the string 'all', or the name of a single data table to download. Defaults to 'all'.

check.size

T or F, should the user approve the total file size before downloading? Defaults to T. When working in batch mode, or other non-interactive workflow, use check.size=F.

include.provisional

T or F, should provisional data be included in downloaded files? Defaults to F. See https://www.neonscience.org/data-samples/data-management/data-revisions-releases for details on the difference between provisional and released data.

savepath

The location to save the output files to

load

T or F, are files saved locally or loaded directly? Used silently with loadByProduct(), do not set manually.

token

User specific API token (generated within neon.datascience user accounts). Optional.

avg

Deprecated; use timeIndex

Details

All available data meeting the query criteria will be downloaded. Most data products are collected at only a subset of sites, and dates of collection vary. Consult the NEON data portal for sampling details. Dates are specified only to the month because NEON data are provided in monthly packages. Any month included in the search criteria will be included in the download. Start and end date are inclusive. timeIndex: NEON sensor data are published at pre-determined averaging intervals, usually 1 and 30 minutes. The default download includes all available data. Download volume can be greatly reduced by downloading only the 30 minute files, if higher frequency data are not needed. Use getTimeIndex() to find the available averaging intervals for each sensor data product.

Value

A folder in the working directory (or in savepath, if specified), containing all zip files meeting query criteria.

Author(s)

Claire Lunch [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To download plant foliar properties data from all sites, expanded data package:
zipsByProduct(dpID="DP1.10026.001", site="all", package="expanded")

## End(Not run)

Get files from NEON ECS Bucket using URLs in stacked data

Description

Read in a set of URLs from NEON data tables and then download the data from the NEON ECS buckets. Assumes data tables are in the format resulting from merging files using stackByTable(). File downloads from ECS can be extremely large; be prepared for long download times and large file storage.

Usage

zipsByURI(
  filepath,
  savepath = paste0(filepath, "/ECS_zipFiles"),
  pick.files = FALSE,
  check.size = TRUE,
  unzip = TRUE,
  saveZippedFiles = FALSE,
  token = NA_character_
)

Arguments

filepath

The location of the NEON data containing URIs. Can be either a local directory containing NEON tabular data or a list object containing tabular data.

savepath

The location to save the output files from the ECS bucket, optional. Defaults to creating a "ECS_zipFiles" folder in the filepath directory.

pick.files

T or F, should the user be told the name of each file before downloading? Defaults to F. When working in batch mode, or other non-interactive workflow, use pick.files=F.

check.size

T or F, should the user be told the total file size before downloading? Defaults to T. When working in batch mode, or other non-interactive workflow, use check.size=F.

unzip

T or F, indicates if the downloaded zip files from ECS buckets should be unzipped into the same directory, defaults to T. Supports .zip and .tar.gz files currently.

saveZippedFiles

T or F: should the zip files be retained after unzipping? Defaults to F.

token

User specific API token (generated within neon.datascience user accounts). Optional.

Value

A folder in the working directory (or in savepath, if specified), containing all files meeting query criteria.

Author(s)

Kaelin Cawley [email protected]

References

License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Examples

## Not run: 
# To download stream morphology data from stacked data:
zipsByURI(filepath="~/filesToStack00131/stackedFiles")

## End(Not run)