diff --git a/datasets/casagfed-carbonflux-monthgrid-v3.data.mdx b/datasets/casagfed-carbonflux-monthgrid-v3.data.mdx
index 4cb1ad4c3..c2c9c9dc8 100644
--- a/datasets/casagfed-carbonflux-monthgrid-v3.data.mdx
+++ b/datasets/casagfed-carbonflux-monthgrid-v3.data.mdx
@@ -77,7 +77,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: casa-gfed-co2-flux-hr
@@ -123,7 +122,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: casa-gfed-co2-flux-nee
@@ -167,7 +165,6 @@ layers:
         - '#E26952'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: casa-gfed-co2-flux-fe
@@ -213,7 +210,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: casa-gfed-co2-flux-fuel
@@ -257,7 +253,6 @@ layers:
         - '#821580'
         - '#4D004B'
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx b/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
index e4e86df59..3c8b3f38f 100644
--- a/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
+++ b/datasets/eccodarwin-co2flux-monthgrid-v5.data.mdx
@@ -75,7 +75,6 @@ layers:
         - "#FF3399"
         - "#FF0000"
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx b/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
index 03997818d..d14782675 100644
--- a/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
+++ b/datasets/gosat-based-ch4budget-yeargrid-v1.data.mdx
@@ -79,7 +79,6 @@ layers:
         - '#800000' 
         - '#4C0000'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: post-total-id
@@ -124,7 +123,6 @@ layers:
         - '#FF3000'
         - '#800000' 
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: prior-wetland-id
@@ -171,7 +169,6 @@ layers:
         - '#800000' 
         - '#4C0000'   
     analysis:
-      exclude: true
       metrics:
         - mean        
   - id: post-wetland-id
@@ -218,7 +215,6 @@ layers:
         - '#800000' 
         - '#4C0000' 
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: prior-wetland-uncertainty-id
@@ -265,7 +261,6 @@ layers:
         - '#92003F'
         - '#67001F' 
     analysis:
-      exclude: true
       metrics:
         - mean           
   - id: post-wetland-uncertainty-id
@@ -312,7 +307,6 @@ layers:
         - '#92003F'
         - '#67001F'       
     analysis:
-      exclude: true
       metrics:
         - mean                              
 ---
diff --git a/datasets/lpjwsl-wetlandch4-grid-v1.data.mdx b/datasets/lpjwsl-wetlandch4-grid-v1.data.mdx
index cb2c4197c..2d259cbdd 100644
--- a/datasets/lpjwsl-wetlandch4-grid-v1.data.mdx
+++ b/datasets/lpjwsl-wetlandch4-grid-v1.data.mdx
@@ -74,7 +74,6 @@ layers:
         - '#f1605d'
         - '#feb078'
     analysis:
-      exclude: true
       metrics:
         - mean
 
@@ -116,7 +115,6 @@ layers:
         - '#f1605d'
         - '#feb078'    
     analysis:
-      exclude: true
       metrics:
         - mean 
 ---
diff --git a/datasets/noaa-cpfp-ch4-point.data.mdx b/datasets/noaa-cpfp-ch4-point.data.mdx
index 9ead37225..074733ab3 100644
--- a/datasets/noaa-cpfp-ch4-point.data.mdx
+++ b/datasets/noaa-cpfp-ch4-point.data.mdx
@@ -70,7 +70,6 @@ layers:
         - '#fdc527'
         - '#f8df25'  
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx b/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
index 2b744710b..08e8e043f 100644
--- a/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
+++ b/datasets/oco2-mip-co2budget-yeargrid-v1.data.mdx
@@ -81,7 +81,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-lnlgis-nbe-std
@@ -128,7 +127,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-lnlgis-nce
@@ -175,7 +173,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-lnlgis-nce-std
@@ -222,7 +219,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-lnlgis-dc-loss
@@ -269,7 +265,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-lnlgis-dc-loss-std
@@ -316,7 +311,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-crop
@@ -363,7 +357,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-crop-std
@@ -410,7 +403,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-ff
@@ -457,7 +449,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-ff-std
@@ -504,7 +495,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-river
@@ -551,7 +541,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-river-std
@@ -598,7 +587,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-wood
@@ -645,7 +633,6 @@ layers:
         - '#D95847'
         - '#B40426'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: co2-emissions-wood-std
@@ -692,7 +679,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
@@ -728,7 +714,7 @@ layers:
     Byrne, B., Baker, D. F., Basu, S., Bertolacci, M., Bowman, K. W., Carroll, D., Chatterjee, A., Chevallier, F., Ciais, P., Cressie, N., Crisp, D., Crowell, S., Deng, F., Deng, Z., Deutscher, N. M., Dubey, M. K., Feng, S., García, O. E., Herkommer, B., Hu, L., Jacobson, A. R., Janardanan, R., Jeong, S., Johnson, M. S., Jones, D. B. A., Kivi, R., Liu, J., Liu, Z., Maksyutov, S., Miller, J. B., Miller, S. M., Morino, I., Notholt, J., Oda, T., O’Dell, C. W., Oh, Y.-S., Ohyama, H., Patra, P. K., Peiro, H., Petri, C., Philip, S., Pollard, D. F., Poulter, B., Remaud, M., Schuh, A., Sha, M. K., Shiomi, K., Strong, K., Sweeney, C., Té, Y., Tian, H., Velazco, V. A., Vrekoussis, M., Warneke, T., Worden, J. R., Wunch, D., Yao, Y., Yun, J., Zammit-Mangion, A., and Zeng, N.: Pilot top-down CO₂ Budget constrained by the v10 OCO-2 MIP Version 1, *Committee on Earth Observing Satellites*, https://doi.org/10.48588/npf6-sw92, Version 1.0, 2022
 
     ## Dataset Accuracy
-    The uncertainty in NCE is an estimate of the standard deviation of the v10 OCO-2 MIP ensemble members. This is meant to characterize uncertainties originating from the inversion configuration (such as the transport model, inversion method and prior constraints). However, there are also limitations to this method. First, there is only a small ensemble of 11 MIP ensemble members included in this analysis and an over-representation of inversions using two transport models: TM5 (3) and GEOS-Chem (5), which makes uncertainty quantification challenging. Second, the ensemble-based estimate does not capture some sources of uncertainty. In particular, Bayesian posterior uncertainties are not considered, due to the fact that many of the inversion systems participating in the v10 OCO-2 MIP do not calculate this uncertainty. For more information on the dataset’s uncertainty, refer to [Byrne et al. 2023](https://doi.org/10.5194/essd-15-963-2023).
+    The uncertainty in NCE is an estimate of the standard deviation of the v10 OCO-2 MIP ensemble members. This is meant to characterize uncertainties originating from the inversion configuration (such as the transport model, inversion method and prior constraints). However, there are also limitations to this method. First, there is only a small ensemble of 11 MIP ensemble members included in thisanalysis and an over-representation of inversions using two transport models: TM5 (3) and GEOS-Chem (5), which makes uncertainty quantification challenging. Second, the ensemble-based estimate does not capture some sources of uncertainty. In particular, Bayesian posterior uncertainties are not considered, due to the fact that many of the inversion systems participating in the v10 OCO-2 MIP do not calculate this uncertainty. For more information on the dataset’s uncertainty, refer to [Byrne et al. 2023](https://doi.org/10.5194/essd-15-963-2023).
 
     ## Disclaimer
     All data provided in the US GHG Center has been transformed from the original format into Cloud Optimized GeoTIFF (COG). Careful quality checks are used to ensure data transformation has been performed correctly.
diff --git a/datasets/oco2geos-co2-daygrid-v10r.data.mdx b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
index accc3bfe3..7a239e4da 100644
--- a/datasets/oco2geos-co2-daygrid-v10r.data.mdx
+++ b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
@@ -75,7 +75,6 @@ layers:
         - '#f1605d'
         - '#feb078'
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/odiac-ffco2-monthgrid-v2022.data.mdx b/datasets/odiac-ffco2-monthgrid-v2022.data.mdx
index 8f57be06c..f567741e5 100644
--- a/datasets/odiac-ffco2-monthgrid-v2022.data.mdx
+++ b/datasets/odiac-ffco2-monthgrid-v2022.data.mdx
@@ -90,7 +90,6 @@ layers:
         - '#BB0000' 
         - '#800000' 
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx b/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
index d57549439..6f18379b8 100644
--- a/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
+++ b/datasets/sedac-popdensity-yeargrid5yr-v4.11.data.mdx
@@ -72,7 +72,6 @@ layers:
         - "#FF6715"
         - "#FF0000"
     analysis:
-      exclude: true
       metrics:
         - mean
 ---
diff --git a/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx b/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
index 48cab9917..b01125c22 100644
--- a/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
+++ b/datasets/tm54dvar-ch4flux-monthgrid-v1.data.mdx
@@ -82,7 +82,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: microbial-ch4
@@ -128,7 +127,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: fossil-ch4
@@ -174,7 +172,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
   - id: pyrogenic-ch4
@@ -220,7 +217,6 @@ layers:
         - '#92003F'
         - '#67001F'
     analysis:
-      exclude: true
       metrics:
         - mean
 ---