Raster grids of eight bogs in North America, Europe, Borneo, and New Zealand

DOI

This dataset contains surface elevation rasters in GeoTIFF format for eight bogs in North America, Europe, Borneo, and New Zealand. Each raster in the dataset gives surface elevations either derived from lidar data, or obtained by transforming a solution to Poisson's equation using the method described in the paper. Rasters are labeled by the bog name used in the paper, then by the raster type: "lidar" for bog morphology derived from airborne lidar data; "remapped" for bog morphology approximated by transforming the solution to Poisson's equation through a scalar function; "remapped_from_transect" for bog morphology inferred from elevations along a transect through the bog; or "transect" for the subsample of LiDAR-derived elevations used to construct the remapped-from-transect morphology. Additionally, the raster labeled "drainability_horizon" provides the limiting surface used to compute the irrecoverable carbon in each bog, as explained in the paper. Note that for Kopuatai, for example, where we estimate the morphology of a bog inside a peatland complex, the drainability horizon extends beyond the boundary of the bog. The map projection and resolution are included in each raster via standard GeoTIFF metadata; the projections used were EPSG:6337 for Hamilton Bay (Alaska, USA), EPSG:26915 for Lost River (Minnesota, USA), EPSG:2959 for Milot (Quebec, Canada), EPSG:26919 for Great Cranberry Island (Maine, USA), EPSG:3067 for Reksuo (Finland), EPSG:3301 for Valgeraba (Estonia), EPSG:5247 for Mendaram (Brunei), and EPSG:2193 for Kopuatai (New Zealand).

Identifier
DOI https://doi.org/10.1594/PANGAEA.931195
Related Identifier https://doi.org/10.1038/s41586-023-06807-w
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.931195
Provenance
Creator Cobb, Alexander R ORCID logo; Dommain, René ORCID logo; Yeap, Kimberly; Cao, Hannan
Publisher PANGAEA
Publication Year 2023
Rights Licensing unknown: Please contact principal investigator/authors to gain access and request licensing terms; Data access is restricted (moratorium, sensitive data, license constraints)
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 91 data points
Discipline Earth System Research