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NASA-IMPACT · Nov 20, 2023 · 896d1a3 · 896d1a3
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diff --git a/datasets/grdi-v1.data.mdx b/datasets/grdi-v1.data.mdx
@@ -1,13 +1,14 @@
 ---
 id: grdi-v1
-name: "The Global Gridded Relative Deprivation Index, Version 1"
+name: 'The Global Gridded Relative Deprivation Index, Version 1'
 description: This dataset characterizes the relative levels of multidimensional deprivation and poverty based on sociodemographic and satellite data
 media:
   src: ::file ./grdi--dataset-cover.jpg
-  alt: Figure by Jordan Opel
+  alt: Shacks along a river almost collapsing
   author:
     name: Jordan Opel
     url: https://unsplash.com/photos/photo-of-houses-near-body-of-water-3VLHF9b9Plg
+    alt: Figure by Jordan Opel
 taxonomy:
   - name: Theme
     values:
@@ -23,7 +24,7 @@ layers:
     stacCol: grdi-v1-raster
     name: GRDI
     type: raster
-    description: "Global Gridded Relative Deprivation Index (GRDI), where higher values indicate higher deprivation"
+    description: 'Global Gridded Relative Deprivation Index (GRDI), where higher values indicate higher deprivation'
     zoomExtent:
       - 0
       - 16
@@ -37,16 +38,16 @@ layers:
       min: 0
       max: 100
       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-filled-missing-values-count
     stacCol: grdi-filled-missing-values-count
     name: GRDI Constituent Inputs
     type: raster
-    description: "Global Gridded Relative Deprivation Index (GRDI) showing count of constituent inputs that were filled in per cell using the Fill Missing Values tool"
+    description: 'Global Gridded Relative Deprivation Index (GRDI) showing count of constituent inputs that were filled in per cell using the Fill Missing Values tool'
     zoomExtent:
       - 0
       - 16
@@ -60,16 +61,16 @@ layers:
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       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-v1-built
     stacCol: grdi-v1-built
     name: GRDI Built-Up Area (BUILT)
     type: raster
-    description: "Ratio of built-up area (more urban areas) to non-built up area (more rural areas), where low values imply higher deprivation"
+    description: 'Ratio of built-up area (more urban areas) to non-built up area (more rural areas), where low values imply higher deprivation'
     zoomExtent:
       - 0
       - 16
@@ -83,16 +84,16 @@ layers:
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-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-cdr-raster
     stacCol: grdi-cdr-raster
     name: GRDI Child Dependency Ratio (CDR)
     type: raster
-    description: "Ratio between the population of children (ages 0 to 14) to the working-age population (age 15 to 64). A higher ratio is generally associated with younger age structures, which implies higher relative deprivation"
+    description: 'Ratio between the population of children (ages 0 to 14) to the working-age population (age 15 to 64). A higher ratio is generally associated with younger age structures, which implies higher relative deprivation'
     zoomExtent:
       - 0
       - 16
@@ -106,16 +107,16 @@ layers:
       min: 0
       max: 100
       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-imr-raster
     stacCol: grdi-imr-raster
     name: GRDI Infant Mortality Rate (IMR)
     type: raster
-    description: "Number of deaths in children under 1 year of age per 1,000 live births in the same year"
+    description: 'Number of deaths in children under 1 year of age per 1,000 live births in the same year'
     zoomExtent:
       - 0
       - 16
@@ -129,16 +130,16 @@ layers:
       min: 0
       max: 100
       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-shdi-raster
     stacCol: grdi-shdi-raster
     name: GRDI Subnational Human Development Index (SHDI)
     type: raster
-    description: "Index of human well-being derived from a combination of “three dimensions: education, health, and standard of living (Smits & Permanyer, 2019)”. Lower SHDIs imply higher deprivation"
+    description: 'Index of human well-being derived from a combination of “three dimensions: education, health, and standard of living (Smits & Permanyer, 2019)”. Lower SHDIs imply higher deprivation'
     zoomExtent:
       - 0
       - 16
@@ -152,16 +153,16 @@ layers:
       min: 0
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       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-vnl-raster
     stacCol: grdi-vnl-raster
     name: GRDI VIIRS Night Lights (VNL)
     type: raster
-    description: "Intensity of nighttime lights measured by the VIIRS satellite instrument for the year 2020 as a dimension where lower values imply higher deprivation"
+    description: 'Intensity of nighttime lights measured by the VIIRS satellite instrument for the year 2020 as a dimension where lower values imply higher deprivation'
     zoomExtent:
       - 0
       - 16
@@ -175,16 +176,16 @@ layers:
       min: 0
       max: 100
       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
   - id: grdi-vnl-slope-raster
     stacCol: grdi-vnl-slope-raster
     name: GRDI VIIRS Night Lights (VNL) Slope
     type: raster
-    description: "Difference in intensity of nighttime lights measured by the VIIRS satellite instrument between the years 2012 and 2020 (VNL Slope). Higher values (increasing brightness) imply decreasing deprivation and lower values imply increasing deprivation"
+    description: 'Difference in intensity of nighttime lights measured by the VIIRS satellite instrument between the years 2012 and 2020 (VNL Slope). Higher values (increasing brightness) imply decreasing deprivation and lower values imply increasing deprivation'
     zoomExtent:
       - 0
       - 16
@@ -198,14 +199,14 @@ layers:
       min: 0
       max: 100
       stops:
-        - "#440154"
-        - "#3b528b"
-        - "#21918c"
-        - "#5ec962"
-        - "#fde725"
+        - '#440154'
+        - '#3b528b'
+        - '#21918c'
+        - '#5ec962'
+        - '#fde725'
 ---
 
-<Block type='wide'>
+<Block>
   <Prose>
     ## About
 

diff --git a/datasets/no2.data.mdx b/datasets/no2.data.mdx
@@ -1,21 +1,14 @@
 ---
 id: no2
-name: "Recent Changes in Atmospheric Nitrogen Dioxide"
-featured: true
-description: "Since the outbreak of the novel coronavirus, atmospheric concentrations of nitrogen dioxide have changed by as much as 60% in some regions."
-usage:
-  - url: "https://github.com/NASA-IMPACT/veda-docs/blob/main/notebooks/quickstarts/no2-map-plot.ipynb"
-    label: View example notebook
-    title: "Static view in VEDA documentation"
-  - url: "https://nasa-veda.2i2c.cloud/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-docs&branch=main&urlpath=lab/tree/veda-docs/notebooks/quickstarts/no2-map-plot.ipynb"
-    label: Run example notebook
-    title: "Interactive session in VEDA 2i2c JupyterHub (requires account)"
+name: 'Recent Changes in Atmospheric Nitrogen Dioxide'
+description: 'Since the outbreak of the novel coronavirus, atmospheric concentrations of nitrogen dioxide have changed by as much as 60% in some regions.'
 media:
   src: ::file ./no2--dataset-cover.jpg
-  alt: Figure by Mick Truyts.
+  alt: Power plant shooting steam at the sky.
   author:
     name: Mick Truyts
     url: https://unsplash.com/photos/sea-waves-crashing-on-shore-under-white-clouds-x6WQeNYJC1w
+    alt: Figure by Mick Truyts
 taxonomy:
   - name: Theme
     values:
@@ -29,9 +22,9 @@ taxonomy:
 layers:
   - id: no2-monthly
     stacCol: no2-monthly
-    name: Nitrogen Dioxide (NO2)
+    name: Nitrogen Dioxide (NO<sub>2</sub>)
     type: raster
-    description: "Global monthly concentration of NO2 in the troposphere"
+    description: 'Global monthly concentration of NO<sub>2</sub> in the troposphere'
     zoomExtent:
       - 0
       - 20
@@ -52,21 +45,21 @@ layers:
         }
     legend:
       type: gradient
-      min: "Less"
-      max: "More"
+      min: 'Less'
+      max: 'More'
       unit:
-        label: Molecules NO2/cm2
+        label: Molecules NO<sub>2</sub>/cm2
       stops:
-        - "#3A88BD"
-        - "#C9E0ED"
-        - "#E4EEF3"
-        - "#FDDCC9"
-        - "#DD7059"
+        - '#3A88BD'
+        - '#C9E0ED'
+        - '#E4EEF3'
+        - '#FDDCC9'
+        - '#DD7059'
   - id: no2-monthly-diff
     stacCol: no2-monthly-diff
-    name: Nitrogen Dioxide (NO2) Difference
+    name: Nitrogen Dioxide (NO<sub>2</sub>) Difference
     type: raster
-    description: "Change in global, monthly concentration of NO2 in the troposphere compared to the same month’s average from from 2015 - 2019"
+    description: 'Change in global, monthly concentration of NO<sub>2</sub> in the troposphere compared to the same month’s average from from 2015 - 2019'
     zoomExtent:
       - 0
       - 20
@@ -86,32 +79,32 @@ layers:
         }
     legend:
       type: gradient
-      min: "< -3"
-      max: "> 3"
+      min: '< -3'
+      max: '> 3'
       unit:
-        label: Molecules NO2/cm2
+        label: Molecules NO<sub>2</sub>/cm2
       stops:
-        - "#3A88BD"
-        - "#C9E0ED"
-        - "#E4EEF3"
-        - "#FDDCC9"
-        - "#DD7059"
+        - '#3A88BD'
+        - '#C9E0ED'
+        - '#E4EEF3'
+        - '#FDDCC9'
+        - '#DD7059'
 ---
 
-<Block type='wide'>
+<Block>
   <Prose>
     ## Description
-    Nitrogen dioxide (NO2) is a common air pollutant primarily emitted from the burning of fossil fuels in cars and power plants. Lower to the ground, nitrogen dioxide can directly irritate the lungs and contributes to the production of particulate pollution and smog when it reacts with sunlight.
-    During the COVID-19 pandemic, scientists have observed considerable decreases in nitrogen dioxide levels around the world. These decreases are predominantly associated with changing human behavior in response to the spread of COVID-19. As communities worldwide have implemented lockdown restrictions in an attempt to stem the spread of the virus, the reduction in human transportation activity has resulted in less NO2 being emitted into the atmosphere. These changes are particularly apparent over large urban areas and economic corridors, which typically have high levels of automobile traffic, airline flights, and other related activity. NASA has observed subsequent rebounds in nitrogen dioxide levels as the lockdown restrictions ease.
-    Presented here is a monthly record of NO2 in the troposphere, which is the lowest layer of the atmosphere most directly affected by human activity, as measured by the [Ozone Monitoring Instrument (OMI)](https://aura.gsfc.nasa.gov/omi.html) on NASA’s Aura satellite from January 2016 through September 2023. Also included is a monthly record showing the change in tropospheric NO2  from the selected month compared to an average of tropospheric NO2 for the same month from 2015 - 2019 (for example, difference in NO2 between October 2023 vs October 2015 - 2019 average). This difference highlights changes in NO2 from a baseline time frame of 2015 - 2019, just before the COVID-19 pandemic.
+    Nitrogen dioxide (NO<sub>2</sub>) is a common air pollutant primarily emitted from the burning of fossil fuels in cars and power plants. Lower to the ground, nitrogen dioxide can directly irritate the lungs and contributes to the production of particulate pollution and smog when it reacts with sunlight.
+    During the COVID-19 pandemic, scientists have observed considerable decreases in nitrogen dioxide levels around the world. These decreases are predominantly associated with changing human behavior in response to the spread of COVID-19. As communities worldwide have implemented lockdown restrictions in an attempt to stem the spread of the virus, the reduction in human transportation activity has resulted in less NO<sub>2</sub> being emitted into the atmosphere. These changes are particularly apparent over large urban areas and economic corridors, which typically have high levels of automobile traffic, airline flights, and other related activity. NASA has observed subsequent rebounds in nitrogen dioxide levels as the lockdown restrictions ease.
+    Presented here is a monthly record of NO<sub>2</sub> in the troposphere, which is the lowest layer of the atmosphere most directly affected by human activity, as measured by the [Ozone Monitoring Instrument (OMI)](https://aura.gsfc.nasa.gov/omi.html) on NASA’s Aura satellite from January 2016 through September 2023. Also included is a monthly record showing the change in tropospheric NO<sub>2</sub>  from the selected month compared to an average of tropospheric NO<sub>2</sub> for the same month from 2015 - 2019 (for example, difference in NO<sub>2</sub> between October 2023 vs October 2015 - 2019 average). This difference highlights changes in NO<sub>2</sub> from a baseline time frame of 2015 - 2019, just before the COVID-19 pandemic.
 
     ## Data Summary
 
     - **Temporal Extent:** January 2016 - Ongoing
     - **Temporal Resolution:** Monthly
     - **Spatial Extent:** Global
     - **Spatial Resolution:** 0.1 degrees x 0.1 degrees
-    - **Data Units:** Molecules of nitrogen dioxide per square centimeter (Molecules NO2/cm2)
+    - **Data Units:** Molecules of nitrogen dioxide per square centimeter (Molecules NO<sub>2</sub>/cm2)
     - **Data Type:** Research
 
     </Prose>
@@ -120,16 +113,16 @@ layers:
 <Block>
   <Prose>
     ## Source Data Access
-    The monthly tropospheric NO2 data can be accessed here:
+    The monthly tropospheric NO<sub>2</sub> data can be accessed here:
     [https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI/V03/L3/OMNO2d_HR/OMNO2d_HRM/](https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI/V03/L3/OMNO2d_HR/OMNO2d_HRM/)
 
           ## Acknowledgment
           Acknowledgement of the teams/organizations that contributed to the product. This can often be found in dataset documentation from source
 
           ## Dataset Preparation & Disclaimer
-          The monthly tropospheric NO2 and NO2 difference were created using this product:
+          The monthly tropospheric NO<sub>2</sub> and NO<sub>2</sub> difference were created using this product:
 
-          Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). [10.5067/Aura/OMI/DATA2017](https://doi.org/10.5067/Aura/OMI/DATA2017)
+          Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura Nitrogen Dioxide (NO<sub>2</sub>) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). [10.5067/Aura/OMI/DATA2017](https://doi.org/10.5067/Aura/OMI/DATA2017)
 
           All data displayed in Earth.gov has been transformed from the original format (NetCDF) into Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)). Careful quality checks are used to ensure data transformation has been performed correctly.