TERMS OF USE AND CITATION GLODAPv2_2019 data are freely available, but appropriate credits to GLODAPv2_2019 team and data originators must be given in any publications that emerge from their use. GLODAPv2_2019 is described in two publications in Earth System Science Data (Olsen et al., 2016 and Olsen et al., 2019 - In prep for Earth. Syst. Sci. Data). Full citations are provided below. GLODAPv2.2019 is an updated version of the GLODAPv2 data product, which was described in Olsen et al (2016). Much of the data and procedures are therefore described in that paper. Whenever GLODAPv2.2019 is used two papers should be cited: Olsen et al. (2016) and Olsen et al. (2019), where the latter which describes the procedures for the update. Whenever GLODAPv2_2019 is used, the following citations must be included: For data and data product: Olsen et al., 2016 and Olsen et al. (2019) For GLODAPv2 mapped product: Lauvset et al., 2016 and Key et al., 2015 Citing the Earth System Science Data publications is essential as this gives the team traceable citations and also enables tracking of GLODAPv2_2019 use. This is important for justifying and sustaining the effort. Citations Olsen, A., R. M. Key, S. van Heuven, S. K. Lauvset, A. Velo, X. Lin, C. Schirnick, A. Kozyr, T. Tanhua, M. Hoppema, S. Jutterström, R. Steinfeldt, E. Jeansson, M. Ishii, F. F. Pérez and T. Suzuki. The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product for the world ocean, Earth Syst. Sci. Data, 8, 297–323, 2016, doi:10.5194/essd-8-297-2016. Olsen, A., N. Lange, R. M. Key, T. Tanhua, M. Álvarez, S. Becker, H. Bittig, B. Carter, L. de Cunha, R. A. Feely, S. van Heuven, M. Hoppema, M. Ishii, E. Jeansson, S. D. Jones, S. Jutterström, M. K. Karlsen, A. Kozyr, S. K. Lauvset, C. Lo Monaco, A. Murata, F. F. Peréz, B. Pfeil, C. Schirnick, R. Steinfeldt, T. Suzuki, M. Telzewski, B. Tilbrook, A. Velo, R. Wanninkhof. GLODAPv2.2019 - an update to GLODAPv2. In prep for Earth. Syst. Sci. Data. Lauvset, S. K, R. M. Key, A. Olsen, S. van Heuven, A. Velo, X. Lin, C. Schirnick, A. Kozyr, T. Tanhua, M. Hoppema, S. Jutterström, R. Steinfeldt, E. Jeansson, M. Ishii, F. F. Pérez, T. Suzuki and S. Watelet. A new global interior ocean mapped climatology: the 1°x1° GLODAP version 2, Earth Syst. Sci. Data, 8, 325–340, 2016, doi:10.5194/essd-8-325-2016 If you make heavy use of data from a single cruise or a limited set, please contact the PIs for possible collaboration. The PIs normally possess insight on context and data, and collaboration leading to co-authorships promotes further sharing of data BRIEF DESCRIPTION This NCEI Accession consists of data product composed of data from 840 scientific cruises covering the global ocean between 1972 and 2017. It includes full depth discrete bottle measurements of salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon (TCO2), total alkalinity (TAlk), pH, CFC-11, CFC-12, CFC-113, and CCl4, various isotopes and organic compounds. It was created by appending data from 116 cruises to GLODAPv2 (Olsen et al., 2016, NCEI Accession 0162565). The data for salinity, oxygen, nitrate, silicate, phosphate, TCO2, TAlk, pH, CFC-11, CFC-12, CFC-113, and CCl4 were subjected to primary and secondary quality control. Severe biases in these data have been corrected for, and outliers removed. However, differences in data related to any known or likely time trends or variations have not been corrected for. These data are believed to be accurate to 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4 µmol kg-1 in TCO2, 4 µmol kg-1 in TAlk, and for the halogenated transient tracers: 5%. This NCEI Accession includes adjusted discrete bottle measurements of salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4, carbon isotopes and chlorophyll. These data have been subjected to extensive primary and secondary quality control which included systematic evaluation of bias, and adjustments have been applied to remove significant biases, respecting occurrences of any known or likely time trends or variations.