diff --git a/datasets/noaa-cpfp-co2-point.data.mdx b/datasets/noaa-cpfp-co2-point.data.mdx
index 96d6a16c2..e03147404 100644
--- a/datasets/noaa-cpfp-co2-point.data.mdx
+++ b/datasets/noaa-cpfp-co2-point.data.mdx
@@ -130,7 +130,7 @@ layers:
 
     Tans, P.P.,Fung,  I.Y., & Takahashi, T. (1990). Observational Constraints on the global atmospheric CO₂ budget. *Science, 247*, 1431-1438. [https://www.jstor.org/stable/2874222](https://www.jstor.org/stable/2874222)
 
-    Tans, P.P., Crotwell, A.M., & Thoning, K.W. (2017). Abundances of isotopologues and calibration of CO₂ greenhouse gas measurements. *Atmospheric Measurement Techniques, 10*, 7, 2669-2685. [https://doi.org/10.5194/amt-10-2669-2017[(https://doi.org/10.5194/amt-10-2669-2017) 
+    Tans, P.P., Crotwell, A.M., & Thoning, K.W. (2017). Abundances of isotopologues and calibration of CO₂ greenhouse gas measurements. *Atmospheric Measurement Techniques, 10*, 7, 2669-2685. [https://doi.org/10.5194/amt-10-2669-2017](https://doi.org/10.5194/amt-10-2669-2017) 
 
     Thoning, K.W., Tans, P.P., Conway, T.J., & Waterman, L.S. (1987). NOAA/GMCC calibrations of CO₂-in-air reference gases:  1979-1985.  NOAA Tech. Memo. (ERL ARL-150).  Environmental Research Laboratories, Boulder, CO, 63 pp.
 
diff --git a/datasets/oco2geos-co2-daygrid-v10r.data.mdx b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
index 4309661a5..4a9d192cc 100644
--- a/datasets/oco2geos-co2-daygrid-v10r.data.mdx
+++ b/datasets/oco2geos-co2-daygrid-v10r.data.mdx
@@ -98,7 +98,7 @@ layers:
     Brad Weir, Lesley Ott and OCO-2 Science Team (2022), OCO-2 GEOS Level 3 daily, 0.5x0.625 assimilated CO₂ V10r, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], [10.5067/Y9M4NM9MPCGH](https://doi.org/10.5067/Y9M4NM9MPCGH)
 
     ## Dataset Accuracy
-    Daily random error statistics (i.e. precisions) are calculated using [Desroziers et al. (2005) diagnostics](https://doi.org/10.1256/qj.05.108), and can be found in the precision data layer accompanying the XCO₂ data layer. For more information on how these diagnostics are used, please refer to the “Uncertainty quantification” section of the [OCO-2 GEOS L3 XCO₂ Product User’s Guide](https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO₂_GEOS_L3_User_Guide.pdf). For estimating systematic errors, analyses against independent data are performed. For more information on these analyses, please refer to Section 3 of the [OCO-2 GEOS L3 XCO₂ Product User’s Guide](https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_GEOS_L3_User_Guide.pdf).
+    Daily random error statistics (i.e. precisions) are calculated using [Desroziers et al. (2005) diagnostics](https://doi.org/10.1256/qj.05.108), and can be found in the precision data layer accompanying the XCO₂ data layer. For more information on how these diagnostics are used, please refer to the “Uncertainty quantification” section of the [OCO-2 GEOS L3 XCO₂ Product User’s Guide](https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_GEOS_L3_User_Guide.pdf). For estimating systematic errors, analyses against independent data are performed. For more information on these analyses, please refer to Section 3 of the [OCO-2 GEOS L3 XCO₂ Product User’s Guide](https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_GEOS_L3_User_Guide.pdf).
 
     ## Disclaimer
     All data provided in the U.S. GHG Center 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. Apart from the data format, the OCO-2 GEOS Assimilated CO₂ Concentrations dataset is identical to the [OCO2_GEOS_L3CO2_DAY dataset available at GES DISC](https://doi.org/10.5067/Y9M4NM9MPCGH). 
diff --git a/stories/us-methane-sources.stories.mdx b/stories/us-methane-sources.stories.mdx
index 16ef7a587..1244c7a95 100644
--- a/stories/us-methane-sources.stories.mdx
+++ b/stories/us-methane-sources.stories.mdx
@@ -61,7 +61,7 @@ taxonomy:
         <Prose>
             ## GHG Inventories -  A Fundamental Tool Promoting International Climate Change Cooperation
 
-            The 1992 [United Nations Framework Convention on Climate Change](https://www.google.com/url?q=https://unfccc.int/resource/docs/convkp/conveng.pdf&sa=D&source=docs&ust=1695419649511030&usg=AOvVaw2r_M3u40Dcb9U77HDrHNRx) (UNFCCC) is an international treaty that established a framework for international cooperation to achieve “stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system” (Article 2). Towards this end, signatories to the UNFCCC are committed to developing and reporting “national inventories of anthropogenic emissions by sources and removals by sinks of all greenhouse gases” (Article 4). These inventories provide a scientific basis for tracking and planning emission mitigation efforts to achieve the long-term objective of the Convention. Inventory reporting is also a continued commitment under the 2015 U.N. Paris Agreement.
+            The 1992 [United Nations Framework Convention on Climate Change](https://unfccc.int/resource/docs/convkp/conveng.pdf) (UNFCCC) is an international treaty that established a framework for international cooperation to achieve “stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system” (Article 2). Towards this end, signatories to the UNFCCC are committed to developing and reporting “national inventories of anthropogenic emissions by sources and removals by sinks of all greenhouse gases” (Article 4). These inventories provide a scientific basis for tracking and planning emission mitigation efforts to achieve the long-term objective of the Convention. Inventory reporting is also a continued commitment under the 2015 U.N. Paris Agreement.
         </Prose>
     </Block>