lavaca-nutrients
Data and code repository for Lavaca Bay nutrient loading project.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
✓Institutional organization owner
Organization txwri has institutional domain (twri.tamu.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Keywords
estuary
eutrophication
generalized-additive-models
r
r-stats
water-quality
Last synced: 6 months ago
·
JSON representation
Repository
Data and code repository for Lavaca Bay nutrient loading project.
Basic Info
- Host: GitHub
- Owner: TxWRI
- License: cc-by-4.0
- Language: R
- Default Branch: main
- Homepage: https://tcnir.twri.tamu.edu/
- Size: 163 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 2
Topics
estuary
eutrophication
generalized-additive-models
r
r-stats
water-quality
Created about 4 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.Rmd
---
title: "Texas Coastal Nutrient Input Repository (Phase 1 - Lavaca Bay)"
output: github_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
[](https://creativecommons.org/licenses/by/4.0/)
[](https://doi.org/10.5281/zenodo.7330754)
This repository contains code and data for the Texas Coastal Nutrient Input Repository project. This project develops estimates of actual and flow-normalized daily nitrate (NO^3^-N) and total phosphorus (TP) watershed loads. Reports and publications are forthcoming.
Data analysis and models were developed in R using the [renv](https://rstudio.github.io/renv/) and [targets](https://docs.ropensci.org/targets/) R packages to facilitate reproducibility. To reproduce this analysis clone the repository to your local machine, ensure both renv and targets are installed and open the project. The analysis can be reproduced using:
```r
renv::restore()
targets::tar_make()
```
## Data Download
Metadata and download links for nutrient loading data (csv files) are located here: https://txwri.github.io/lavaca-nutrients/
## Funding
This project was funded by a Texas Coastal Management Program grant approved by the Texas Land Commissioner, providing financial assistance under the Coastal Zone Management Act of 1972, as amended, awarded by the National Oceanic and Atmospheric Administration (NOAA), Office for Coastal Management, pursuant to NOAA Award No. NA21NOS4190136. The views expressed herein are those of the author(s) and do not necessarily reflect the views of NOAA, the U.S. Department of Commerce, or any of their subagencies.
Owner
- Name: Texas Water Resources Institute
- Login: TxWRI
- Kind: organization
- Email: michael.schramm@ag.tamu.edu
- Location: College Station, TX
- Website: twri.tamu.edu
- Twitter: TxWRI
- Repositories: 13
- Profile: https://github.com/TxWRI
A part of the Texas A&M System and Texas A&M Agrilife, the Texas Water Resources Institute solves vital water issues through research & outreach
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Michael Schramm | m****m@a****u | 42 |
| mps9506 | m****m@g****m | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 1
- Total pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 17 minutes
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mps9506 (1)
Pull Request Authors
- mps9506 (9)