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The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise MOC2Austral carried out from 8 February to 10 March 2010. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, Spanish Projects GHG4MOC (CTM2009-07574-E) and MOC2 (CTM2008-06438-C02-02/MAR) supported by Ministerio de Ciencia e Innovación, and CARBOCHANGE (264879), No

The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Dataset contributed to the Project Carbochange.-- Related item http://hdl.handle.net/10261/125339, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise FICARAM-XV carried out along the A17 section from 20 March to 2 May 2013. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, Ministry of Economy and Competitiveness, CATARINA project (CTM2010-17141); European Commission, project Carbochange, No

The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Aida F. Ríos ... et al.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise CATARINA carried out along the OVIDE section from 23 June to 20 July 2012. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, CATARINA (CTM2010-17141), CARBOCHANGE, No

The item is made of 6 files: 1) Readme_Global_monthly_dataset.txt; 2) ATNNWOA13.nc is the climatological data of total alkalinity computed with NNGv2; 3) NNGv2 is the neural network object used to create the climatology; 4) NNw3RMSE is a neural network object used to evaluate the error of the network when it is trained without data beyond +-3RMSE; 5)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2.-- The final version is in http://dx.doi.org/10.20350/digitalCSIC/8644, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No

The item is made of 5 files: 1) README.txt; 2) AT_NNGv2_climatology.nc contains the climatology of AT computed with NNGv2 in netcdf4 format and the climatologies of oxygen (median filtered from WOA13), phosphate, nitrate and silicate (these three derived from CANYON-B); 3) NNGv2 is the neural network object used to create the climatology; 4)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 5) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), No

Este dataset está compuesto por 2 archivos, de los cuales el primero es el conjunto de datos con 191 análisis de muestras de agua de temperatura, salinidad, oxígeno, nutrientes, pH, alcalinidad y clorofila, y el otro (Readme.txt) incluye una pequeña descripción de las variables calculadas, El proyecto CAIBEX es un estudio coordinado para comparar la dinámica y actividad biogeoquímica contrastada que se da entre la zona costera y el océano adyacente en la zona de estudio. Es un programa de observación y modelización multidisciplinar que abarca diferentes escalas espaciales y temporales, incluyendo un estudio del papel de los filamentos en el afloramiento estival del caladero de Cabo Silleiro, Galicia (CAIBEX I) y el afloramiento perenne del caladero de Cabo Guir, Marruecos (CAIBEX III) con especial referencia a sus repercusiones en el reclutamiento/dispersión de paralarvas de pulpo común y a las transformaciones biogeoquímicas experimentadas por el material biogénico producido en la zona costera. La campaña CAIBEX I, realizada a bordo del buque Sarmiento de Gamboa, está enfocada al estudio de las estructuras y procesos a mesoescala del sistema de Cabo Silleiro, y tiene como meta principal la definición de la estructura tri-dimensional física, biológica y biogeoquímica de un filamento de afloramiento y su evolución en el tiempo como función del forzamiento por el viento. Para alcanzar estos objetivos, el plan de campaña se planteó tres modos de operación: 1) un mapeado rápido al principio y al fin de la campaña para localizar el filamento y observar los cambios en el contexto general durante el estudio; 2) varios experimentos de deriva en el filamento para ver el desarrollo de una parcela de agua mientras se traslada de la costa al océano; 3) cortes repetidos a través del filamento para estudiar su desarrollo in situ. En cada estación se realizaron perfiles verticales de temperatura, salinidad y oxígeno disuelto con un SBE911plus CTD. Se realizaron tiradas con una roseta con botellas de 10 L de PVC Niskin para obtener muestras de agua para análisis oxígeno disuelto y nutrientes inorgánicos disueltos. El oxígeno disuelto se determinó por titulación potenciométrica de Winkler. El error estándar analítico estimado fue de 1 μmol/kg. Las muestras de nutrientes se determinaron mediante análisis de flujo segmentado con el autoanalizador Alliance Futura siguiendo a Grashoff et al. (1999) con algunas mejoras (Mouriño y Fraga 1985). Los límites de detección fueron 0,02 μmol/L para nitritos, 0,05 μmol/L para nitratos, amonio y silicato y 0,01 μmol/L para fosfatos. El pH del agua de mar se midió espectrofotométricamente siguiendo a Clayton y Byrne (1993) aplicándose una adición de 0,0047 (DelValls & Dickson, 1998). Las muestras de pH (escala de concentración total de hidrógeno, 25°C) se recogieron directamente en cubetas ópticas cilíndricas de 100 mm de longitud en las que se realizan directamente las medidas. La precisión fue 0,003 unidades de pH. Las muestras de alcalinidad total (TA) se recogieron en frascos de vidrio de 500 ml. El TA se determinó por titulación a pH 4,4 con HCl, según el método potenciométrico de Pérez y Fraga (1987) con una precisión de ±2 micromol/kg, CSIC, 1 data csv ‘29AH200901706_hy1.csv’ file and 1 readme.txt file, Peer reviewed

The item is made of 6 files: 1) README.txt; 2) TCO2_NNGv2LDEO_climatology.nc contains the climatology of TCO2 centered in 1995 and computed with NNGv2LDEO in netcdf4 format; 3) pCO2_NNGv2LDEO_climatology.nc contains the climatology of pCO2 centered in 1995 and computed with NNGv2LDEO and NNGv2 of Broullón et al. (2019) in netcdf4 format ; 4) NNGv2LDEO.mat is the neural network object used to create the climatology of TCO2; 5) TCO2NNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indian Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs and targets to the neural network, the NNGv2LDEO.mat and a MATLAB script to compute TCO2 with NNGv2LDEO, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), Peer reviewed

This dataset is composed of 2 files. Main one is the data set itself (arios_database_hy1.csv) in WHP-Exchange bottle format, with 1421 samples of temperature, salinity, oxygen, nutrients, pH, alkalinity, and chlorophyll. The other file (readme_ARIOSDATABASE.txt) includes a short description of the the database and calculated variables, The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files, The ARIOS project (Acidification in the Rias and the Iberian Continental Shelf) included among its tasks the compilation and analysis of the historical record of the measurements of the carbon system and associated parameters carried out by the Instituto de Investigaciones Mariñas (IIM-CSIC) in Vigo (Spain) that gathers 3,343 oceanographic stations and 17,653 discrete samples between 1976 and 2018, This unique collection that gathers biogeochemical data from 24 oceanographic projects and cruises between 40º N and 45º N, 11ºW and the Galician coast in the last 40 years is a departure point to evaluate the acidification in the Galician coastal upwelling system. All ARIOS measurements passed a first quality control of hydrographic data through the specific software of the GO-SHIP program (Global Program of Hydrographic Investigations in Oceanographic Ships) that compiles various quality control procedures (Velo et al., 2019). The database also displays a quality indicator for each measurement. The different methodologies used in the ARIOS database changed over time following the scientific and technical advances in chemical oceanography from 1976 to 2018. The most important changes are as follows: Temperature: - From 1976 to 1984, the temperature measured with a Wallace and Tiernan bathylograph - From 1984 to 1990, inverted thermometers were used, correcting the temperature with protected and unprotected thermometers according to Anderson (1974). - After 1990, different CTD models were used to obtain the thermohaline profile. Salinity: - Salinity measurements were made with an AUTOSAL 8400A inductive salinometer calibrated with normal IAPSO water and using the equations provided by UNESCO (1981). The estimated analytical error was 0.003. Oxygen: - In 1981, the oxygen concentration was measured by first time using the Winkler's titration method following Culberson et al. (1991) - During the 80s and early 90s, the titration was performed with Metrohm instruments (E-425 or E-473) with an analytical error of 1 μmol kg-1. - After 1997, the oxygen concentration was estimated using a Titrino 720 analyzer (Metrohm) with an accuracy of 0.5 μmol kg-1. Nutrients: - Nitrate: Measured with an ALPKEM autoanalyzer as described in Strickland and Parsons (1968) using Cd-Cu reduction (Mouriño and Fraga 1985). Accuracy of 0.1 μmol / kg. - Phosphate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.01 μmol / kg, - Silicate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.05 μmol / kg. Total alkalinity: - In 1981, alkalinity was measured for the first time by potentiometric titration with 0.1N HCl at final pH 4.44, following Pérez and Fraga (1987a) with an analytical error of 2 μmol / kg and an accuracy of 0.1%. - Beginning in 2001, certified reference material (CRM) samples provided by Dr. A. Dickson from the University of California were used in the alkalinity analysis that improved the accuracy to ± 1.4 μmol/kg and accuracy to <0.1%. pH: - From 1976 to 1986, the pH was measured with a Metrohm E-510 pH instrument with a glass and reference reference Ag/ClAg calibrated with 7.413 NBS buffer. All pH values ​​were converted to values ​​at 15 ºC using two different temperature corrections: 1) between 1976 and 1984, the Buch and Nynas tables published by Barnes (1959) and 2) between 1984 and 1986 following Pérez and Fraga (1987 ). - From 1976 to 2001, pH was measured with a Metrohm E-654 pH meter with Orion 81-04 Ross combined glass electrode. The pH was converted to SWS scale using the hydrogen activity coefficient provided by Mehrbach et al. (1973) at 25ºC with the parameterization given by Pérez and Fraga (1987b). The error of the potentiometric method was 0.010. - After 2001, the pH measurements were spectrophotometric following Clayton and Byrne (1993) and subsequently adding 0.0047 to the pH value to do so (DelValls and Dickson, 1998). The precision of the spectrophotometric measurements was 0.003 pH units. Chla: - Chla was measured using a Turner 10000R fluorometer. Between 1976 and 1984 on Schleicher and Scholl 602eh filters of 6 cm in diameter and later with Whatman GF / C filters of 2.5 cm. The precision was 0.05 g / L, CSIC y Plan Nacional de I+D del Gobierno de España, 1 data csv ‘ARIOSDATABASE.csv’ file and 1 readme.txt file, Peer reviewed