Summary | Note on data url provenance when using download_d1_data.R | Metadata format dictates metajam output | Example 1: eml | Libraries and constants | Download the dataset | Read the data and metadata in your R environment | Structure of the named list object | Example 2: iso

Summary | Libraries and constants | Download the raster dataset | Read the raster file and metadata in your R environment | Investigate the metadata

Introduction to vegbankr | Summary of Functions | Plot Observation Data | Single Plot Observation by Plot Code | Plot Observations for a Project | Project Data | Search by Project Name | Plot Observations by Project Code | Party Data | Plot Observations by Party | Taxon Observations | Taxon Observations by Plot | Plant Species Concepts | Plant Community Concepts | Other Function Options | Changing Limit & Offset | Sorting Results | Manipulating Downloaded Data with dplyr | Select a subset of Columns | Filter Rows by a Condition | Summarize Numeric Variables

Introduction to vegbankr | Contributing data to VegBank | VegBank Loader Tables | Projects | Parties | Contributors | Plot Observations | Community Classifications | Strata Cover | Strata Methods | Taxon Interpretations | Disturbances | Soils | Stem Data | Data Validation | Data Upload

Overview of the EML hierarchy | Our example: (re)-creating hf205.xml | Our strategy | Attribute Metadata | Data file format | Assembling the dataTable | Coverage metadata | Creating methods | Creating parties | Creating a keywordSet

Summary | Libraries | Constants | Download the datasets | Read the data and metadata in your R environment | Perform checks on data structure | Conclusion | Perform checks on the units | Fixing units discrepancies | Append all the sampling sites into one master dataset | General Conclusion

Summary | Libraries and constants | Download the dataset | Read the data and metadata in your R environment | Structure of the named list object

Summary | Libraries and constants | Download all the datasets from data packages using DOIs

Overview | Add a custom unit to EML | Reading EML: parsing unit information, including custom unit types

Setup | Logging out

Overview | Example dataset | Community stability | Species covariance | Variance ratio | Calculating the variance ratio | Significance testing | General cyclic shift function | Variance ratio and species richness | Species synchrony | Synchrony Option 1: "Loreau" | Synchrony Option 2: "Gross" | Citations

emld | Installation | Motivation | Reading EML | Writing EML | Working with EML as JSON-LD | As JSON: Query with JQ | As semantic data: SPARQL queries

Creating tickets | Editing tickets | Comment and Replying | Piping

Writing a query | Example queries

Overview | Species turnover | Total turnover | Appearances and disappearances | Turnover at Konza | Species rank shifts | Rank clocks: visualizing species rank shifts | Rank clocks at Konza | Mean rank shifts | Rank shifts at Konza | Rate of community change | Rate change at Konza | Citations

Usage scenarios | Use: I want to update the metadata in a package with an edited EML file I have on my computer | Use: Mint a DOI for the package | Use: Add a new CSV data file to a package

Abbreviated API overview

Clone package | Get NSF awards | Which in EML

Download a small Data Package | Download a Data Package without the UI | Download multiple Data Packages | Switching between DataONE/LTER Member Nodes

Download package

Create attributes tables | Format custom units | Adding an ORCID to a creator | Quality assurance for data packages