Manage data collected by the LKC on fire and fire-related metrics
-
Updated
Dec 9, 2025 - R
Manage data collected by the LKC on fire and fire-related metrics
Master level course in Physical Geography at Marburg University
Analog Photography MetaData - Functions to batch rename photo files with information rich names following the NOSSAFLEX standard and a function to save these metadata inside the exif slots of the scans
Data quality assessment and metadata reporting for data frames and database tables
R package with functions that are widely used by the Petersen Lab
NHANES data curation project. Download files using the {nhanesA} R package. Store parquet files in publicly-accessible Cloudflare site
Manage data collected by the LKC on plant species and community metrics
Manage data collected by (or at) the LKC on climate metrics
A Shiny application for tracking collaborative projects in the UFHCC BCB-SR Bioinformatics Unit
Spreadsheet-based approach for managing data from agricultural field experiments with emphasis on best management practices. Initial version is focused on Florida but could easily be adopted to other types of field research. Includes various tools for managing datasets.
Introduction to Geospatial Concepts
R package for iRODS icommands
R package to fetch and explore clinical trials data from freely available registries. Fetch data in bulk, customize data and build comprehensive html reports. Currently, it supports the ClinicalTrials.gov registry and CTTI AACT (Access to Aggregate Content of ClinicalTrials.gov).
An R Library for Efficient Data Management and Manipulation
Package for processing and managing Picarro CRDS liquid water isotope data
R Package for Checking KWB Package Status (e.g. generating https://kwb-r.github.io/status)
Necessary knowledge and proficiency to master the art of data management using R programming and achieve excellence in this field.
WIDEa (Web Interface for Data Exploration) is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data.
Add a description, image, and links to the data-management topic page so that developers can more easily learn about it.
To associate your repository with the data-management topic, visit your repo's landing page and select "manage topics."