From cdfcd4fd25ca1609ba4dec17cacde80b48c08a2d Mon Sep 17 00:00:00 2001
From: Stefan Kahl <kahst@hrz.tu-chemnitz.de>
Date: Mon, 18 Sep 2023 15:32:10 +0200
Subject: [PATCH] Basic info update

---
 index.html | 49 ++++++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 44 insertions(+), 5 deletions(-)

diff --git a/index.html b/index.html
index 2e7e328c..a3400ff0 100644
--- a/index.html
+++ b/index.html
@@ -6,13 +6,52 @@
     <article>
       <h1>BirdNET Analyzer</h1>
       <p>
-        This is some Text.
+        This repo contains BirdNET models and scripts for processing large amounts of audio data or single audio files. This is the most advanced version of BirdNET for acoustic analyses and we will keep this repository up-to-date with new models and improved interfaces to enable scientists with no CS background to run the analysis.
       </p>
+      <p>
+        Developed by the <a href="https://www.birds.cornell.edu/ccb/">K. Lisa Yang Center for Conservation Bioacoustics</a> at the <a href="https://www.birds.cornell.edu/home">Cornell Lab of Ornithology</a> in collaboration with <a href="https://www.tu-chemnitz.de/index.html.en">Chemnitz University of Technology</a>.
+      </p>
+      <p>Feel free to use BirdNET for your acoustic analyses and research.</p>
+      <p>If you do, please cite as:</p>
+
+      <pre>
+      @article{kahl2021birdnet,
+        title={BirdNET: A deep learning solution for avian diversity monitoring},
+        author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger},
+        journal={Ecological Informatics},
+        volume={61},
+        pages={101236},
+        year={2021},
+        publisher={Elsevier}
+      }
+      </pre>
+
+      <p>This work is licensed under a <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.</p>
+
       <hr>
-      <table>
-        <tr><th>a</th><th>table</th></tr>
-        <tr><td>a</td><td>table</td></tr>
-      </table>
+      <h2>Installation</h2>
+      <p>Before you attempt to setup BirdNET-Analyzer on your Windows machine, please consider downloading our fully-packaged version that does not require you to install any additional packages and can be run "as-is".</p>
+
+      <p>You can download this version here: <a href="https://tuc.cloud/index.php/s/myHcJNsDsMrDqMM/download/BirdNET-Analyzer.zip">BirdNET-Analyzer Windows</a>.</p>
+
+      <ul>
+        <li>Download the zip file</li>
+        <li>Before unpacking, make sure to right-click the zip-file, select "Properties" and check the box "Unblock" under "Security" at the bottom of the "General" tab.</li>
+        <ul>
+          <li>If Windows does not display this option, the file can be unblocked with the PowerShell 7 command <code>Unblock-File -Path .\BirdNET-Analyzer.zip</code></li>
+        </ul>
+        <li>Unpack the zip-file</li>
+        <li>Navigate to the extracted folder named "BirdNET-Analyzer"</li>
+        <li>You can start the analysis through the command prompt with <code>+BirdNET-Analyzer.exe --i "path\to\folder" ...+</code> (see <a href="<<usage-cli,Usage (CLI) section>>">Usage (CLI) section</a> for more details), or you can launch <code>BirdNET-Analyzer-GUI.exe</code> to start the analysis through a basic GUI.</li>
+      </ul>
+      <hr>
+      <h2>Funding</h2>
+      <p>
+        This project is supported by Jake Holshuh (Cornell class of ’69) and The Arthur Vining Davis Foundations. Our work in the K. Lisa Yang Center for Conservation Bioacoustics is made possible by the generosity of K. Lisa Yang to advance innovative conservation technologies to inspire and inform the conservation of wildlife and habitats.
+      </p>
+      <p>
+        The German Federal Ministry of Education and Research is funding the development of BirdNET through the project "BirdNET+" (FKZ 01|S22072). Additionally, the German Federal Ministry of Environment, Nature Conservation and Nuclear Safety is funding the development of BirdNET through the project "DeepBirdDetect" (FKZ 67KI31040E).
+      </p>
     </article>
   </main>
 </body>