Aragonite precipitations rates of precipitations from seawater, using a pH stat titrator using the constant composition technique between September 2021 and December 2022. Aragonite precipitation rates are estimated from the rate of titrant dosing. Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite precipitation. Data were collected by Giacomo Gardella and Nicola Allison and interpreted by Giacomo Gardella, Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Krӧger and Matthieu Clog.

FWHM of aragonite samples precipitated from seawater, using a pH stat titrator using the constant composition technique between September 2021 and December 2022. Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite structure. Data were collected by Giacomo Gardella, Sam Presslee and Nicola Allison and interpreted by Giacomo Gardella, Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger, Sam Presslee and Matthieu Clog.

Amino acid compositions of aragonite samples precipitated from seawater, using a pH stat titrator using the constant composition technique between September 2021 and December 2022. Samples were precipitated from 330 mL of seawater with no biomolecules (control) or with a seawater concentration of 2 mM of aspartic acid (Asp), 2 mM glycine (Gly), 2 mM of both amino acids (Asp+Gly) or 2 mM dipeptide glycyl-L-aspartic acid (Asp-Gly) or from 33 mL of seawater with variable concentrations of aspartic acid (Asp) or tetra-aspartic acid (Asp4). Protein was extracted from the samples and run as free amino acids (to detect amino acids in free form) and as hydrolysed samples (to detect peptides). Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite precipitation. Data were collected by Giacomo Gardella, Sam Presslee and Nicola Allison and interpreted by Giacomo Gardella, Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Krӧger, Sam Presslee and Matthieu Clog

FWHM of 19 aragonite samples precipitated from seawater, using a pH stat titrator using the constant composition technique between August 2020 and December 2022. Aragonite precipitation rates are estimated from the rate of titrant dosing. Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite structure. Data were collected by Cristina Castillo Alvarez and Nicola Allison and interpreted by Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger and Matthieu Clog.

Precipitations were conducted using a pH stat titrator using the constant composition technique between August 2020 and April 2022. Aragonite precipitation rates are estimated from the rate of titrant dosing. pH and DIC are used to estimate the seawater aragonite saturation state of each precipitation and, on occasion, the [HCO3-] and [CO32-]. Data were collected to determine how changes in the calcification fluids of calcareous organisms affect aragonite precipitation. Data were collected by Cristina Castillo Alvarez and interpreted by Cristina Castillo Alvarez, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger and Matthieu Clog.

FWHM of coral skeletal samples from 7 coral genotypes cultured in an aquarium at seawater pCO2 of 180, 260, 400 and 750 µatm and at seawater temperature of 25 and 28 degrees C (39 samples total). Data were collected to determine how environmental conditions influence disorder in the aragonite lattice of coral skeletons. Data were collected between August 2020 and December 2022 by Phoebe Ross, Celeste Kellock, Cristina Castillo Alvarez and Nicola Allison and interpreted by Phoebe Ross, Celeste Kellock, Cristina Castillo Alvarez, David Evans, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger, and Matthieu Clog.

Amino acid compositions of coral skeletons from 4 massive Porites spp. genotypes (G4, G5, G6, G7) cultured in an aquarium at seawater pCO2 of 180, 260, 400 and 750 µatm and at seawater temperature of 25 and 28°C. Protein was extracted from the skeletal samples and hydrolysed to individual amino acids. Data were collected to determine how environmental conditions influence coral skeletal biomolecules. Data were collected between August 2020 and December 2022 by Celeste Kellock, Cristina Castillo Alvarez, David Evans and Nicola Allison and interpreted by Celeste Kellock, Cristina Castillo Alvarez, David Evans, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger, and Matthieu Clog.

Excel file containing abundance data of planktonic foraminifer from IODP Expedition 375 Hole 1520C (41R-44R)

The research team collected data on soil-atmosphere exchange of trace gases and environmental variables during four field campaigns (two wet seasons, two dry seasons) the lowland tropical peatland forests of the Pastaza-Marañón foreland basin in Peru. The campaigns took place over a 27 month period, extending from February 2012 to May 2014. This dataset contains measurements from field sampling of soil-atmosphere fluxes concentrated on 4 dominant vegetation types in the lowland tropical peatland forests of the Pastaza-Marañón foreland basin. Vegetation types included; forested vegetation, forested [short pole] vegetation, Mauritia flexuosa-dominated palm swamp, and mixed palm swamp. They were measured at 5 different sites in Peru including; Buena Vista, Miraflores, San Jorge, Quistococha, and Charo. Greenhouse gas (GHG) fluxes were captured from both floodplain systems and nutrient-poor bogs in order to account for underlying differences in biogeochemistry that may arise from variations in hydrology. Parameters include methane and nitrous oxide fluxes, air/soil temperatures, soil pH, soil electrical conductivity, soil dissolved oxygen content, and water table depth. See documentation and data lineage for data quality. These data were collected in support of the NERC project: Amazonian peatlands - A potentially important but poorly characterised source of atmospheric methane and nitrous oxide (NE/I015469/2)

Data generated by a range of scientific projects, including: UK Geoenergy Observatories in Glasgow & Cheshire: UK future energy monitoring and testing, Cardiff Urban Observatory: monitoring geothermal heat recovery and storage project, Seismic monitoring: a network of more than 100+ seismograph stations, River Thames ground water monitoring. BGS collect data from sensors located throughout the UK and beyond.