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The Microwave Limb Sounder (MLS) is an instrument on board the Upper Atmosphere Research Satellite (UARS) which measured global ClO, O3, H2O, temperature and SO2. Data are version 4 and public (gridded in time or latitude along the satellite track) between 80S - 80N, approximately 10-60 km in the vertical, from October 1991 to June 1997. This directory tree now contains Version 4 MLS data files, in subdirectories for constituent and year, for FTP to remote machines. The data is held in IEEE binary files as supplied by the Goddard DAAC. Remember to switch to BINARY mode when transferring these files by FTP. New software to read the data files is also available.
Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset collection contains mixing ratio measurements of Ozone, CO, ethane, propane, iso-butane, acetylene, iso-pentane, and halocarbons. Meteorological measurements (wind speed, wind direction, atmospheric pressure, air temperature, relative humidity, solar radiation, rainfall) and aerosol concentrations are also contained in the data set. The Cape Verde Observatory was previously used during the SOLAS (Surface Ocean / Lower Atmosphere Study) project, from which the present day continuous observations have evolved. As such the earlier SOLAS measurements are also included within this collection. Additionally, back trajectory plots for the site are also within this collection.
The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project ran a unique high resolution model for the Amazon basin, able to simulate isoprene emissions and atmospheric chemistry. Model outputs are available through CEDA. This was a NERC funded project (NE/G013810/1).
This dataset collection contains the results of the analysis conducted on PM2.5 (particulate matter) samples by the Si-SOA project. The PM2.5 samples were collected in the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, China during August 2018 and January 2019 by the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) project. The PM2.5 samples were taken from ambient air at the height of 8m and subjected to a series of analytical techniques, and the data collection is comprised of the following results. - The concentration of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon in PM2.5 samples from Ultraviolet-Visible Spectrophotometry - The concentration of specific ions in PM2.5 samples from Ion Chromatography - The concentration of water-soluble Silicon in PM2.5 samples from Coupled Plasma - Optical Emission Spectrometry (ICP-OES) - The concentration of water-soluble elements in PM2.5 samples from Inductively Coupled Plasma Mass Spectrometry (ICP-MS) - The concentration of elements in PM2.5 samples from X-ray Fluorescence Spectrometry These data support the study of atmospheric processes in relation to fine Silicon-containing particles, which may contribute to the formation of haze and atmospheric pollution.
The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the University of Reading's Sonning Farm, UK. Full details about this dataset can be found at https://doi.org/10.5285/d2e0cf65-010c-4206-8302-195449d0acba