<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>dataoneorg.r-universe.dev</title><link>https://dataoneorg.r-universe.dev</link><description>Recent package updates in dataoneorg</description><generator>R-universe</generator><image><url>https://github.com/dataoneorg.png</url><title>R packages by dataoneorg</title><link>https://dataoneorg.r-universe.dev</link></image><lastBuildDate>Wed, 02 Sep 2026 21:20:12 GMT</lastBuildDate><item><title>[dataoneorg] metajam 0.3.2</title><author>julien.brun@alumni.duke.edu (Julien Brun)</author><description>A set of tools to foster the development of reproducible
analytical workflow by simplifying the download of data and
metadata from 'DataONE' (&lt;https://www.dataone.org&gt;) and easily
importing this information into R.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/33696387047</link><pubDate>Wed, 02 Sep 2026 21:20:12 GMT</pubDate><r:package>metajam</r:package><r:version>0.3.2</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/NCEAS/metajam</r:upstream><r:article><r:source>use01_dataset-single-arctic.Rmd</r:source><r:filename>use01_dataset-single-arctic.html</r:filename><r:title>Use Case 1 - Processing a Single Dataset from Arctic Data Center</r:title><r:created>2024-04-16 16:23:04</r:created><r:modified>2026-06-30 18:10:18</r:modified></r:article><r:article><r:source>use02_dataset-single-dataone.Rmd</r:source><r:filename>use02_dataset-single-dataone.html</r:filename><r:title>Use Case 2 - Processing a Single Dataset from DataOne</r:title><r:created>2024-04-16 16:23:04</r:created><r:modified>2026-09-02 21:20:12</r:modified></r:article><r:article><r:source>use03_dataset-batch-processing.Rmd</r:source><r:filename>use03_dataset-batch-processing.html</r:filename><r:title>Use Case 3 - Processing Several Datasets</r:title><r:created>2024-04-16 16:23:04</r:created><r:modified>2026-09-02 21:20:12</r:modified></r:article><r:article><r:source>use04_reading-raster.Rmd</r:source><r:filename>use04_reading-raster.html</r:filename><r:title>Use Case 4 - Processing a Raster Dataset</r:title><r:created>2024-04-16 16:23:04</r:created><r:modified>2026-06-23 17:55:59</r:modified></r:article><r:article><r:source>use05_package-download.Rmd</r:source><r:filename>use05_package-download.html</r:filename><r:title>Use Case 5 - Downloading Entire Data Packages Using DOIs</r:title><r:created>2024-04-16 16:23:04</r:created><r:modified>2024-04-16 16:23:04</r:modified></r:article></item><item><title>[dataoneorg] emld 0.5.3</title><author>cboettig@gmail.com (Carl Boettiger)</author><description>This is a utility for transforming Ecological Metadata
Language ('EML') files into 'JSON-LD' and back into 'EML.'
Doing so creates a list-based representation of 'EML' in R, so
that 'EML' data can easily be manipulated using standard 'R'
tools. This makes this package an effective backend for other
'R'-based tools working with 'EML.' By abstracting away the
complexity of 'XML' Schema, developers can build around native
'R' list objects and not have to worry about satisfying many of
the additional constraints of set by the schema (such as
element ordering, which is handled automatically).
Additionally, the 'JSON-LD' representation enables the use of
developer-friendly 'JSON' parsing and serialization that may
facilitate the use of 'EML' in contexts outside of 'R,' as well
as the informatics-friendly serializations such as 'RDF' and
'SPARQL' queries.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/32446528777</link><pubDate>Thu, 15 Jan 2026 20:47:03 GMT</pubDate><r:package>emld</r:package><r:version>0.5.3</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/ropensci/emld</r:upstream><r:article><r:source>tutorial.Rmd</r:source><r:filename>tutorial.html</r:filename><r:title>emld Tutorial</r:title><r:created>2017-12-22 20:00:52</r:created><r:modified>2020-09-26 23:06:45</r:modified></r:article></item><item><title>[dataoneorg] redland 1.0.17-19</title><author>jones@nceas.ucsb.edu (Matthew B. Jones)</author><description>Provides methods to parse, query and serialize information
stored in the Resource Description Framework (RDF). RDF is
described at &lt;https://www.w3.org/TR/rdf-primer/&gt;. This package
supports RDF by implementing an R interface to the Redland RDF
C library, described at
&lt;https://librdf.org/docs/api/index.html&gt;. In brief, RDF
provides a structured graph consisting of Statements composed
of Subject, Predicate, and Object Nodes.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/33739769368</link><pubDate>Tue, 09 Dec 2025 21:59:18 GMT</pubDate><r:package>redland</r:package><r:version>1.0.17-19</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/ropensci/redland-bindings</r:upstream><r:article><r:source>redland_overview.Rmd</r:source><r:filename>redland_overview.html</r:filename><r:title>redland: create, query and write RDF graphs</r:title><r:created>2015-05-04 23:32:14</r:created><r:modified>2023-05-23 08:33:06</r:modified></r:article></item><item><title>[dataoneorg] dataone 2.3.0</title><author>jones@nceas.ucsb.edu (Matthew B. Jones)</author><description>Provides read and write access to data and metadata from
the 'DataONE' network &lt;https://www.dataone.org&gt; of data
repositories. Each 'DataONE' repository implements a consistent
repository application programming interface. Users call
methods in R to access these remote repository functions, such
as methods to query the metadata catalog, get access to
metadata for particular data packages, and read the data
objects from the data repository. Users can also insert and
update data objects on repositories that support these methods.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/34096650627</link><pubDate>Tue, 09 Dec 2025 18:57:54 GMT</pubDate><r:package>dataone</r:package><r:version>2.3.0</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/DataONEorg/rdataone</r:upstream><r:article><r:source>v02-dataone-federation.Rmd</r:source><r:filename>v02-dataone-federation.html</r:filename><r:title>DataONE Federation</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2025-10-08 20:03:50</r:modified></r:article><r:article><r:source>v01-dataone-overview.Rmd</r:source><r:filename>v01-dataone-overview.html</r:filename><r:title>dataone Package Overview</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2025-10-08 20:03:50</r:modified></r:article><r:article><r:source>v04-download-data.Rmd</r:source><r:filename>v04-download-data.html</r:filename><r:title>Downloading Data From DataONE</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2025-10-08 20:03:50</r:modified></r:article><r:article><r:source>v07-known-issues.Rmd</r:source><r:filename>v07-known-issues.html</r:filename><r:title>Known Issues</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2020-11-24 17:26:43</r:modified></r:article><r:article><r:source>v03-searching-dataone.Rmd</r:source><r:filename>v03-searching-dataone.html</r:filename><r:title>Searching DataONE Data Holdings</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2025-10-08 20:03:50</r:modified></r:article><r:article><r:source>v06-update-package.Rmd</r:source><r:filename>v06-update-package.html</r:filename><r:title>Updating Datasets on DataONE</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2020-11-18 19:22:50</r:modified></r:article><r:article><r:source>v05-upload-data.Rmd</r:source><r:filename>v05-upload-data.html</r:filename><r:title>Uploading Datasets to DataONE</r:title><r:created>2020-06-24 21:27:28</r:created><r:modified>2021-02-24 03:39:12</r:modified></r:article></item><item><title>[dataoneorg] scythe 1.1.0</title><author>jclark@nceas.ucsb.edu (Jeanette Clark)</author><description>Harvests data package citations from several API sources,
including PLOS, Scopus, and Springer. This package uses
modified functions from `rplos`, which is no longer maintained.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/33480150260</link><pubDate>Fri, 05 Dec 2025 17:01:56 GMT</pubDate><r:package>scythe</r:package><r:version>1.1.0</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/DataONEorg/scythe</r:upstream></item><item><title>[dataoneorg] datapack 1.4.2</title><author>jones@nceas.ucsb.edu (Matthew B. Jones)</author><description>Provides a flexible container to transport and manipulate
complex sets of data. These data may consist of multiple data
files and associated meta data and ancillary files. Individual
data objects have associated system level meta data, and data
files are linked together using the OAI-ORE standard resource
map which describes the relationships between the files. The
OAI- ORE standard is described at
&lt;https://www.openarchives.org/ore/&gt;. Data packages can be
serialized and transported as structured files that have been
created following the BagIt specification. The BagIt
specification is described at
&lt;https://datatracker.ietf.org/doc/html/draft-kunze-bagit-08&gt;.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/34094536784</link><pubDate>Fri, 10 Oct 2025 00:00:06 GMT</pubDate><r:package>datapack</r:package><r:version>1.4.2</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/ropensci/datapack</r:upstream><r:article><r:source>datapack-overview.Rmd</r:source><r:filename>datapack-overview.html</r:filename><r:title>datapack R Package Overview</r:title><r:created>2016-03-18 05:38:43</r:created><r:modified>2025-10-08 02:10:37</r:modified></r:article></item><item><title>[dataoneorg] EML 2.0.7</title><author>cboettig@gmail.com (Carl Boettiger)</author><description>Work with Ecological Metadata Language ('EML') files.
'EML' is a widely used metadata standard in the ecological and
environmental sciences, described in Jones et al. (2006),
&lt;doi:10.1146/annurev.ecolsys.37.091305.110031&gt;.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/31668449550</link><pubDate>Mon, 28 Jul 2025 04:31:28 GMT</pubDate><r:package>EML</r:package><r:version>2.0.7</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/ropensci/EML</r:upstream><r:article><r:source>creating-EML.Rmd</r:source><r:filename>creating-EML.html</r:filename><r:title>Creating EML</r:title><r:created>2016-02-29 19:09:46</r:created><r:modified>2025-07-28 04:31:28</r:modified></r:article><r:article><r:source>working-with-units.Rmd</r:source><r:filename>working-with-units.html</r:filename><r:title>Working with Units</r:title><r:created>2016-03-18 22:53:22</r:created><r:modified>2021-06-07 17:37:04</r:modified></r:article></item><item><title>[dataoneorg] arcticdatautils 0.7.0</title><author>mecum@nceas.ucsb.edu (Bryce Mecum)</author><description>A set of utilities for working with the Arctic Data Center
(https://arcticdata.io).</description><link>https://github.com/r-universe/dataoneorg/actions/runs/31298158668</link><pubDate>Tue, 09 Jul 2024 17:44:56 GMT</pubDate><r:package>arcticdatautils</r:package><r:version>0.7.0</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/NCEAS/arcticdatautils</r:upstream><r:article><r:source>b-basic-usage.Rmd</r:source><r:filename>b-basic-usage.html</r:filename><r:title>Basic Usage</r:title><r:created>2018-11-08 21:28:48</r:created><r:modified>2018-11-08 21:28:48</r:modified></r:article><r:article><r:source>a-overview.Rmd</r:source><r:filename>a-overview.html</r:filename><r:title>Overview</r:title><r:created>2018-11-08 21:28:48</r:created><r:modified>2018-11-08 21:28:48</r:modified></r:article></item><item><title>[dataoneorg] datamgmt 0.1.1</title><author>jones@nceas.ucsb.edu (Matthew B. Jones)</author><description>Data management utilities for curating, documenting, and
publishing data.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/31293344839</link><pubDate>Sat, 03 Jun 2023 01:48:02 GMT</pubDate><r:package>datamgmt</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/NCEAS/datamgmt</r:upstream><r:article><r:source>c_datadev.Rmd</r:source><r:filename>c_datadev.html</r:filename><r:title>Advanced functions for package developers and contributors</r:title><r:created>2018-03-15 21:50:24</r:created><r:modified>2018-10-02 00:20:47</r:modified></r:article><r:article><r:source>d_download_ADC_packages.Rmd</r:source><r:filename>d_download_ADC_packages.html</r:filename><r:title>Downloading packages from the Arctic Data Center</r:title><r:created>2018-10-02 00:20:47</r:created><r:modified>2018-10-02 00:20:47</r:modified></r:article><r:article><r:source>b_pi.Rmd</r:source><r:filename>b_pi.html</r:filename><r:title>Functions for PIs</r:title><r:created>2018-03-15 21:50:24</r:created><r:modified>2018-10-02 00:20:47</r:modified></r:article><r:article><r:source>a_datateam.Rmd</r:source><r:filename>a_datateam.html</r:filename><r:title>General ADC/SASAP data team use</r:title><r:created>2018-03-15 21:50:24</r:created><r:modified>2018-10-02 00:20:47</r:modified></r:article></item><item><title>[dataoneorg] codyn 2.0.5</title><author>jones@nceas.ucsb.edu (Matthew B. Jones)</author><description>Univariate and multivariate temporal and spatial diversity
indices, rank abundance curves, and community stability
measures. The functions implement measures that are either
explicitly temporal and include the option to calculate them
over multiple replicates, or spatial and include the option to
calculate them over multiple time points. Functions fall into
five categories: static diversity indices, temporal diversity
indices, spatial diversity indices, rank abundance curves, and
community stability measures. The diversity indices are
temporal and spatial analogs to traditional diversity indices.
Specifically, the package includes functions to calculate
community richness, evenness and diversity at a given point in
space and time. In addition, it contains functions to calculate
species turnover, mean rank shifts, and lags in community
similarity between two time points. Details of the methods are
available in Hallett et al. (2016)
&lt;doi:10.1111/2041-210X.12569&gt; and Avolio et al. (2019)
&lt;doi:10.1002/ecs2.2881&gt;.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/33598047268</link><pubDate>Tue, 01 Dec 2020 02:49:39 GMT</pubDate><r:package>codyn</r:package><r:version>2.0.5</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/NCEAS/codyn</r:upstream><r:article><r:source>codyn_overview.Rmd</r:source><r:filename>codyn_overview.html</r:filename><r:title>codyn: Community Dynamic Metrics</r:title><r:created>2015-03-04 21:32:04</r:created><r:modified>2019-04-09 02:42:34</r:modified></r:article><r:article><r:source>Community_Stability_Metrics.Rmd</r:source><r:filename>Community_Stability_Metrics.html</r:filename><r:title>Community Stability Metrics</r:title><r:created>2015-10-07 23:30:58</r:created><r:modified>2020-12-01 00:38:56</r:modified></r:article><r:article><r:source>Temporal_Diversity_Indices.Rmd</r:source><r:filename>Temporal_Diversity_Indices.html</r:filename><r:title>Temporal Diversity Indices</r:title><r:created>2015-10-08 00:09:31</r:created><r:modified>2019-04-09 02:42:34</r:modified></r:article></item><item><title>[dataoneorg] recordr 1.0.3.9000</title><author>slaughter@nceas.ucsb.edu (Peter Slaughter)</author><description>Provide methods to record data provenance about R script
executions. Provenance data includes files that were read and
written by the script, along with information about the
execution, such as start time end time, the R modules loaded
during the execution, and other information describing the
execution environment.</description><link>https://github.com/r-universe/dataoneorg/actions/runs/33480591708</link><pubDate>Tue, 30 Oct 2018 22:46:36 GMT</pubDate><r:package>recordr</r:package><r:version>1.0.3.9000</r:version><r:status>success</r:status><r:repository>https://dataoneorg.r-universe.dev</r:repository><r:upstream>https://github.com/NCEAS/recordr</r:upstream><r:article><r:source>intro_recordr.Rmd</r:source><r:filename>intro_recordr.html</r:filename><r:title>recordr Package Introduction</r:title><r:created>2015-10-04 19:33:32</r:created><r:modified>2017-09-04 17:45:49</r:modified></r:article></item></channel></rss>