five

CSIRO GASLAB - CO2O18 Carbon Dioxide Isotope Analysis datasets - Global Atmospheric Sampling Laboratory - Flask Sampling Network

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/csiro-gaslab-co2o18-sampling-network/684337
下载链接
链接失效反馈
官方服务:
资源简介:
The CSIRO Global Atmospheric Sampling Laboratory (GASLAB) Flask Sampling Network archive for the oxygen 18 isotope (O18) of atmospheric trace gas carbon dioxide (CO2) concentrations. GASLAB principally analyzes air samples that have been captured at eleven fixed geographic sites and one moving (aircraft over bass strait and Cape Grim), but also includes other sites at various locations globally on a less regular or as needed basis. The CO2O18 measurements are made by concentrating the CO2 from the air sample utilising a 3 step automated cryogenic trapping system connected to a dual inlet stable isotope ratio mass spectrometer (Finnigan MAT252) for analysis. The CO2 and N2O gas chromatography concentrations data for the sample are used for ion corrections on the stable isotope measurements. Alternatively the Cape Grim in situ air sample (cia) which has already had the trapping process applied to it on site, uses the data from the Cape Grim in situ CO2 analyser, with the N2O concentration determined by interpolation from the CSIRO global flask network data. There are 6 differant types of flask that are used to store and transport air samples from site and in the labratory:(i) glass 0.5 litre ("G050"), (ii) glass 5.0 litre ("G500"), (iii) glass 0.8 litre ("G080"), (iv) electropolished stainless steel 1.6 litre "Sirocans" ("S160"), (v) glass 2.0 litre, 1 stopcopck ("F", "FF", "FA", "FE", "EP", ALT"), (vi) glass 2.0 litre, 2 stopcocks(“M1”, “S”, “P2”, “TEMP”). Files containing a single species value for each sample are denoted by a filename of the form (XXX_XXXX_event.XXX), for the geographically fixed sites data is also provided in the form of monthly means (e.g. XXX_XXXX_mm.XXX) with all files being in ascii format.
提供机构:
Australian Ocean Data Network
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作