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+ # The First Open Dataset of Mangrove Above- and Belowground Biomass and Soil Carbon Stocks in Côte d’Ivoire: Insights from Fresco and Sassandra
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+ ## Description
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+ This dataset contains biomass and carbon stock records from mangroves in Côte d’Ivoire (sites of Sassandra and Fresco). It includes measurements of aboveground and belowground biomass and carbon stock, soil carbon stock, as well as bands derived from Sentinel-2 and Sentinel-1 satellite imagery.
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+ ## Temporal Coverage
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+ * From January to May 2025
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+ ## Geographic Coverage
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+ * **Country**: Côte d’Ivoire
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+ * **Sites**: Sassandra, Fresco
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+ * **Coordinate system**: WGS84
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+
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+ ## File Information
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+ * **Format**: CSV (UTF-8, Separator = ,)
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+ * **Number of columns**: 31
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+ * **Number of observations**: 300
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+
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+ ## Variables
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+ * **id**: Identification code to uniquely identify a plot.
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+ * **su**: Sampling unit number (from 2 to 61).
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+ * **plot**: Identifier of the plot within the sampling unit (from P1 to P5).
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+ * **site**: Study site.
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+ * **longitude**: Longitude of the plot center.
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+ * **latitude**: Latitude of the plot center.
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+ * **geometry**: Geometry of the plot.
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+ * **species**: Species encountered in the plot with both French and scientific names.
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+ * **inventory_date**: Inventory date for aboveground data collection.
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+ * **soil_sampling_date**: Soil samples collection date.
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+ * **agb**: Aboveground biomass value in Mg/ha.
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+ * **bgb**: Belowground biomass value in Mg/ha.
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+ * **total_biomass**: Total biomass (above- and belowground) in Mg/ha.
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+ * **cagb**: Aboveground carbon stock in MgC/ha.
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+ * **cbgb**: Belowground carbon stock excluding soil, in MgC/ha.
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+ * **soil_carbon_stock**: Soil carbon stock in MgC/ha.
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+ * **total_carbon_stock**: Total carbon stock (aboveground, belowground, and soil), in MgC/ha.
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+ * **B1**: Band 1 – Coastal aerosol (443 nm), 60m resolution. Used for atmospheric correction.
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+ * **B2**: Band 2 – Blue (490 nm), 10m resolution. Sensitive to water and vegetation stress.
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+ * **B3**: Band 3 – Green (560 nm), 10m resolution. Vegetation and general land cover.
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+ * **B4**: Band 4 – Red (665 nm), 10m resolution. Vegetation discrimination and NDVI.
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+ * **B5**: Band 5 – Red Edge 1 (705 nm), 20m resolution. Sensitive to vegetation structure.
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+ * **B6**: Band 6 – Red Edge 2 (740 nm), 20m resolution. Vegetation chlorophyll content.
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+ * **B7**: Band 7 – Red Edge 3 (783 nm), 20m resolution. Vegetation biomass estimation.
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+ * **B8**: Band 8 – Near Infrared (NIR) (842 nm), 10m resolution. Strong vegetation signal, NDVI.
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+ * **B8A**: Band 8A – Narrow NIR / Red Edge 4 (865 nm), 20m resolution. Vegetation health.
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+ * **B9**: Band 9 – Water vapor band (945 nm), 60m resolution. Used for atmospheric correction.
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+ * **B11**: Band 11 – Shortwave Infrared (SWIR1) (1610 nm), 20m resolution. Soil, moisture, and burned area.
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+ * **B12**: Band 12 – Shortwave Infrared (SWIR2) (2190 nm), 20m resolution. Burned area and moisture.
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+ * **VV**: Backscatter coefficient from vertical transmit, vertical receive polarization (in dB). Sensitive to surface roughness and soil moisture.
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+ * **VH**: Backscatter coefficient from vertical transmit, horizontal receive polarization (in dB). Sensitive to volume scattering, e.g., vegetation.
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+
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+ ## License
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+ This dataset is distributed under **CC-BY 4.0**.[License details](https://creativecommons.org/licenses/by/4.0/)
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+ ## Citation
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+ Salomon Kouassi, Fabrice Zapfack, Therence Temfack, Gabriel Fonlladosa, and Zana Kone.*The First Open Dataset of Mangrove Above- and Belowground Biomass and Soil Carbon Stocks in Côte d’Ivoire: Insights from Fresco and Sassandra.*Figshare, 2025. doi: [10.6084/m9.figshare.30258772](https://doi.org/10.6084/m9.figshare.30258772)
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+ ## Funding
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+ This work was supported by **Lacuna Fund**.
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+ ## Contact
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+ * **Organization**: Data4Good department – data354
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+ * **Email**: [[email protected]](mailto:[email protected])
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+ ## Limitations
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+ * Data collected at a limited number of sites (Sassandra, Fresco).
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+ * Current biomass estimates rely on general allometry equations.
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+ * Missing soil values.
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+ ## Further Information
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+ For more details, please refer to the accompanying article [Lacuna_Paper.pdf](./Lacuna_Paper.pdf) included in this repository.
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