For the integration of this dataset, several research articles were collected from the catalog of The Global Heat Flow Data Assessment Project. Specifically, those that reported heat flow values within Mexican territory and in the country's surrounding seas.
The updated database now comprises 1230 heat-flow determinations compiled from 25 different publications. Within this dataset, 49% of the entries represent continental heat-flow data (onshore), while the remaining 51% correspond to marine data (offshore). This data set covers a period from 1970 to 2022. Notably, 92% of the reported heat flow values were obtained via direct temperature measurements (47% through borehole drilling and 45% through probe sensing), while the remaining data (8%) were estimated from indirect methods, such as geothermometer and Curie depth temperature calculations.
The data are presented according to the standards defined by the World Heat Flow Database Project and the International Heat Flow Commission (Fuchs et al., 2023).
The dataset is composed of aisaEagel hyperspectral imagery acquired during airplane overflights on August 27th, 2016 within the Toolik Lake Natural Research Area on the Alaskan North Slope. The dataset includes three flight lines with 130 spectral bands ranging from VIS to NIR (451.7 – 897 nm) wavelength regions. The dataset also includes Level 2A EnMAP-like imagery simulated using the end-to-end Simulation tool (EeteS) with 78 bands from VIS to NIR (423 – 903 mn). The overall goal of the campaign was to acquire imagery over the Toolik Vegetation grid encompassing 94 permanent 1 x 1 m vegetation plots where corresponding, comprehensive multi-seasonal spectral reflectance, photosynthetic pigment, and detailed species composition data exists. The data are highly novel and can be used form vegetation mapping of species composition and activity.