From b532a924027ab12efb76696b6ba70cb72bbb1e0d Mon Sep 17 00:00:00 2001
From: crgoddard <50374070+crgoddard@users.noreply.github.com>
Date: Wed, 9 Oct 2024 20:47:34 +0200
Subject: [PATCH] fix indexing of sections (#217)

---
 ...-fire-burned-area_climate-and-weather-extremes_q01.ipynb | 6 +++---
 ...te_satellite-fire-burned-area_trend-assessment_q02.ipynb | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_climate-and-weather-extremes_q01.ipynb b/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_climate-and-weather-extremes_q01.ipynb
index 02874ef0..3302d9fb 100644
--- a/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_climate-and-weather-extremes_q01.ipynb
+++ b/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_climate-and-weather-extremes_q01.ipynb
@@ -255,7 +255,7 @@
    "source": [
     "(code-section-2)=\n",
     "\n",
-    "## 2. Inspect and view data\n",
+    "### 2. Inspect and view data\n",
     "\n",
     "Now that we have downloaded the data, we can inspect it. We have requested the data in NetCDF format. This is a commonly used format for array-oriented scientific data. To read and process this data we will make use of the Xarray library. Xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple and efficient. We will read the data from our NetCDF file into an xarray.Dataset."
    ]
@@ -345,7 +345,7 @@
    "source": [
     "(code-section-3)=\n",
     "\n",
-    "## 3. Define the unit of analysis: Nomenclature of territorial units for statistics, level 2 (NUTS 2)\n",
+    "### 3. Define the unit of analysis: Nomenclature of territorial units for statistics, level 2 (NUTS 2)\n",
     "\n",
     "The NUTS are a hierarchical system divided into 3 levels (https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts). NUTS 1 correspond to major socio-economic regions, NUTS 2 correspond to basic regions for the application of regional policies, and NUTS 3 correspond to small regions for specific diagnoses. Additionally, a NUTS 0 level, usually co-incident with national boundaries is also available. The NUTS legislation is periodically amended; therefore multiple years are available for download. \n",
     "\n",
@@ -1081,7 +1081,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,
diff --git a/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_trend-assessment_q02.ipynb b/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_trend-assessment_q02.ipynb
index c5ad5b45..db42df37 100644
--- a/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_trend-assessment_q02.ipynb
+++ b/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_trend-assessment_q02.ipynb
@@ -515,7 +515,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.10"
   }
  },
  "nbformat": 4,