From 7dcb73afc3fcaaebb22a0077fd496c0894399b48 Mon Sep 17 00:00:00 2001
From: Philip Waggoner <31326382+pdwaggoner@users.noreply.github.com>
Date: Fri, 22 Nov 2024 09:16:41 -0700
Subject: [PATCH] Update README.md

adjusting badges
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 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index cd71693..a90e291 100644
--- a/README.md
+++ b/README.md
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 *Production code for the Python implementation of the DLQ algorithm*
 
 [![Pylint](https://github.com/Hammerling-Research-Group/dlq_py/actions/workflows/pylint.yml/badge.svg)](https://github.com/Hammerling-Research-Group/dlq_py/actions/workflows/pylint.yml)
+[![GitHub license](https://img.shields.io/github/license/Hammerling-Research-Group/dlq_py?color=blue)](https://github.com/Hammerling-Research-Group/dlq_py/blob/main/LICENSE)
+[![GitHub contributors](https://img.shields.io/github/contributors/Hammerling-Research-Group/dql_py.svg)](https://github.com/Hammerling-Research-Group/dlq_py/graphs/contributors/)
 
 This repo contains the production code for the Python implementation of the DLQ algorithm. The original version is in R and can be found [here](https://github.com/Hammerling-Research-Group/dlq). As with the R version, the algorithm proceeds in two main steps in an effort to estimate methane emission start and end time (detection), source location (localization), and emission rate (quantification) using concentration observations from a network of point-in-space continuous monitoring systems.