https://github.com/daijiang/neondivdata

Cleaned biodiversity data from NEON

https://github.com/daijiang/neondivdata

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Cleaned biodiversity data from NEON

Basic Info
Statistics
  • Stars: 15
  • Watchers: 5
  • Forks: 9
  • Open Issues: 18
  • Releases: 2
Created over 5 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Code of conduct

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# neonDivData




The goal of neonDivData is to provide cleaned NEON organismal data to facilitate biodiversity research. The authors of this R data package have all spend lots of effort to clean NEON data for our own research; it makes the most sense to document such processes and provide the clean data product so that the large community can use them readily. This will save us time to dig into the extensive documenations of NEON data and to clean up the data individually. 

Data products for all taxonomic groups are long data frames with names in the format of `data_xxx` (e.g. `data_plant`, `data_fish`). Location inforamtions are in `neon_location`; taxonomic informations are in `neon_taxa`.

Despite the aim of this R data package is to facilitate biodiversity research, we keep `NA`s in data products so that information about sampling effort is saved. For some taxonomic groups, we removed observations with above genus level species identification. All codes to clean up the NEON data are available within our [Github repo](https://github.com/daijiang/neonDivData/tree/master/data-raw). Users can use them to customize their own data product if needed.

Available taxonomic groups and their brief summaries:

```{r}
# sites too long, don't print
knitr::kable(neonDivData::data_summary[, !names(neonDivData::data_summary) %in% c("sites", "data_package_id")])
```

## Installation

You can install the development version of neonDivData from [Github](https://github.com/daijiang/neonDivData) with:

``` r
install.packages("neonDivData", repos = 'https://daijiang.r-universe.dev')
```

## Available data products

```{r example}
neonDivData::neon_sites
neonDivData::neon_taxa
neonDivData::neon_location
neonDivData::data_algae
neonDivData::data_beetle
neonDivData::data_bird
neonDivData::data_fish
neonDivData::data_herp_bycatch
neonDivData::data_macroinvertebrate
neonDivData::data_mosquito
neonDivData::data_plant
neonDivData::data_small_mammal
neonDivData::data_tick
neonDivData::data_tick_pathogen
```

# Contributing

Contributions are welcome. You can provide comments and feedback or ask questions by filing an issue on Github [here](https://github.com/daijiang/neonDivData/issues) or making pull requests.

# Code of conduct

Please note that the 'neonDivData' project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By contributing to this project, you agree to abide by its terms.

Owner

  • Name: Daijiang Li
  • Login: daijiang
  • Kind: user
  • Location: Baton Rouge, LA

GitHub Events

Total
  • Issues event: 2
  • Watch event: 3
  • Issue comment event: 1
Last Year
  • Issues event: 2
  • Watch event: 3
  • Issue comment event: 1

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Last synced: 10 months ago

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  • Total pull requests: 9
  • Average time to close issues: about 23 hours
  • Average time to close pull requests: 5 days
  • Total issue authors: 5
  • Total pull request authors: 6
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.22
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
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  • sokole (2)
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