School of GeoSciences
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The School of GeoSciences is organised into the following Research Institutes:
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Earth and Planetary Science: geology and geophysics relevant to resources, natural hazards, earth dynamics, and the environment.
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Geography and the Lived Environment: understanding connections between people, society and the environment.
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Global Change: understanding of past, present and future changes in the Earth system through measurements, theory, and computational modelling.
The School has a very diverse research portfolio, with researchers leading or contributing to a wide range of groups, centres and multi-institutional consortia.
Sub-communities within this community
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Earth and Planetary Science
Geology and geophysics relevant to resources, natural hazards and the environment -
Edinburgh Earth Observatory (EEO)
The Edinburgh Earth Observatory (EEO) is a multidisciplinary research unit whose main research focus is on understandings the Earth and its environment through the effective exploitation of both in situ and remote observations.
Collections in this community
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ChinaExtremes
Data produced as part of the CSSP-China (MetOffice) and LOTUS funded work at the University of Edinburgh, School of Geosciences, regarding the extreme events over East Asia region.
Recent Submissions
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Continuation part of CMIP5/PMIP3 HadCM3 past1000 simulation
Numerical climate output from the HadCM3 climate model simulation runs for the NERC funded Euroclim500 project: Causes of change in European mean and extreme climate over the past 500 years. These data were produced by ... -
CARDAMOM Kenyan C-cycle analysis (0.25 degree, monthly, 2014-2017): Forest and savannah specific
This dataset contains two netCDF file reporting terrestrial C-cycle analysis of Kenya at 0.25 x 0.25 degree spatial and monthly temporal resolutions for 2014 to 2017. One analysis specifically focused on forested land of ... -
CARDAMOM Brazil C-cycle analysis (1x1 degree; monthly; 2001-2017)
This dataset contains a netCDF file reporting terrestrial C-cycle analysis of Brazil at 1 x 1 degree spatial and monthly temporal resolutions for 2001 to 2017. The analysis uses the CARDAMOM model-data fusion framework to ... -
ATEC manuscript 3 - supporting data: "Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield"
Climate, nitrogen (N) and leaf area index (LAI) are key determinants of crop yield. N additions can enhance yield but must be managed efficiently to reduce pollution. Complex process models estimate N status by simulating ... -
Agronomic trait and floral resource data
Mass-flowering crops, such as oilseed rape (OSR; Brassica napus), provide pulses of nectar and pollen helping to support pollinators and their pollination services, in agricultural landscapes. Despite their value to ... -
The Impact of Climate Change and Climate Extremes on Sugarcane Production
We combine the Soil-Plant-Atmosphere model with detailed timeseries measurements from experimental sugarcane plots in Guangxi, China, and São Paulo State, Brazil. We first calibrated and validated modelled carbon and water ... -
Synthetic data and code for "Bayesian geophysical inversion using invertible neural networks"
This dataset contains the synthetic data and codes used to generate those data for manuscript "Bayesian geophysical inversion using invertible neural networks". Xin Zhang's ORCID is: https://orcid.org/0000-0003-0344-1453 -
Supplemental data table for Isolating lithologic versus tectonic signals of river profiles to test orogenic models for the Eastern and Southeastern Carpathians
This dataset contains a table of Schmidt Hammer data points acquired during a field campaign in the Eastern Carpathians in 2018. It is a supplemental material to the manuscript Isolating "lithologic versus tectonic signals ... -
Data supporting the paper "A climate-dependent global model of ammonia emissions from chicken farming"
This dataset contains files of ammonia emissions from global chicken agriculture, from chicken housing to land spreading of chicken manure. All files are in netCDF format and can be easily read and processed by Python ... -
Does Economic Optimisation Explain LAI and Leaf Trait Distributions Across an Amazon Soil Moisture Gradient?
Model outputs presented in Flack-Prain, S., Meir, P., Malhi, Y., Smallman, T. L., & Williams, M. (2020).Does Economic Optimisation Explain LAI and Leaf Trait Distributions Across an Amazon Soil Moisture Gradient?. Global ... -
ATEC manuscript 2 - supporting data: "Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations"
Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field ... -
Aphid population growth rate
The population growth rates of two distinct aphid clones are given. These are an SA3-kdr (pesticide resistant) clone and an SA12A-non kdr(pesticide susceptible) clone. -
SUPERSEDED - Data supporting the manuscript"A climate-dependent global model of ammonia emissions from chicken farming"
## SUPERSEDED - This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2936 ##. This dataset contains files of ammonia emissions from global chicken agriculture, from chicken housing to ... -
GapFire
GapFire is a model developed as part of a pilot REDD+ project in conjunction with the Mpingo Conservation & Development Initiative. It has been designed to predict changes in above ground biomass of miombo woodlands in ... -
A hybrid model for seasonal forecast of Indonesian fire risk
Documentation for the dataset is provided in the README file. List of files: 1. Readme.txt 2. A hybrid model code in the NCL language (seasonalforecasting.ncl.txt) 3. Equatorial Asian monthly total burned area ... -
Dispersion data for "1D, 2D and 3D Monte Carlo ambient noise tomography using a dense passive seismic array installed on the North Sea seabed"
This dataset includes dispersion curves derived from ambient noise data recorded on Grane field, North Sea. The dispersion curves are picked using an image transformation technique from cross-correlations of noise data. ... -
HadCM3 Model data used in the article "Disentangling the causes of the 1816 European year without a summer" by Schurer, Andrew; Hegerl, Gabriele; Luterbacher, Juerg; Broennimann, Stefan; Cowan, Tim; Tett, Simon; Zanchettin, Davide; Timmreck, Claudia
Abstract: The European summer of 1816 has often been referred to as a “year without a summer” due to anomalously cold conditions and unusual wetness, which led to widespread famines and agricultural failures. The cause ... -
Classified map, Tanintharyi, Myanmar
This data is a land classification map in support of University of Edinburgh PhD thesis and manuscript titled: "Oil palm concessions in southern Myanmar consist mostly of unconverted forest", Scientific Reports (in ...
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