ALBERT

Description: Altered volcanic ashes (K-bentonites) in the late Ordovician (Caradocian) Utica shale of New York State are the product of explosive arc volcanism. Most of the 30 K-bentonites examined in this investigation contain fragmental crystals and rock fragments (microliths) up to 600 (xm in diameter that generally are neither detrital contamination from the surrounding black shale nor igneous phenocrysts. The dominant phases are garnet ($two groups; Gr_{15_20} Alm_{45_75} Py_{35_0} Sp_{2-5}; Gr_{2_5} Alm_{55_85} Py_{10-40} Spi$), plagioclase feldspar ($An{80-10}$), alkali feldspar ($Or_{99_0}$), clinopyroxene $(Wo_{50-40} En_{50-30} Fs_{0-30}$), and orthopyroxene ($Wo_{1-2} En_{77_32} Fs{32_66}4$), accompanied by lesser quantities of hornblende, aluminosilicate, quartz, sphene, Fe-Ti oxides, apatite, and zircon. Most of the fragmental crystals appear to be derived from the same source as the metamorphic microliths, which possess minerals with similar compositions. Both crystals and microliths are interpreted as xenocrysts and xenoliths from the ancient continental crust on which the Ordovician arc was constructed. They became entrained in the volcanic plume during explosive eruptions. A Precambrian age acquired on K-feldspars from one K-bentonite using the $^{40}Ar/^{39}Ar$ method shows that these xenocrysts were derived from depths of less than 5-10 km in the microcontinent at the time of late Ordovician volcanism. The occurrence of xenocrysts and xenoliths in these K-bentonites underscores the importance of performing detailed petrology on ash layers prior to the onset of more sophisticated tasks (e.g., isotopic age determinations; regional stratigraphic correlations of K-bentonites based upon chemical compositions).

Description: Motivation • Awareness of FAIR data requirements is rising • We have come FAR but: Interoperability is the remaining challenge for productive systems Here we present • Description of the existing infrastructures and interfaces at GEOMAR • Challenges to reach interoperability • A roadmap with planned steps to go

Description: This document is the first of three periodic reports on available data.

Description: One of today‘s challenge is the effective access to scientific data either within research groups or across different institutions to allow and increase the reusability of the data. While large operational modeling and service centers have enabled query and access to data via common web services, this is often not the case for smaller research groups. Especially the maintenance of the infrastructure and simple workflows to make the data available is a common challenge for scientists and data management. Here we would like to introduce the updated THREDDS Data Server (TDS) available at GEOMAR to provide, query, access and explore scientific data in netcdf format. This includes a simple and well documented workflow with step-by-step guidelines to provide data to the TDS system. This workflow aims to maximize the use of semi-automated processes, such as data integrity including standard metadata, checksums and persistent identifiers. By doing so, this workflow minimizes extra workload for persons involved in the data provision procedure such as scientists, data stewards and data managers but maximizes data reusibility under the FAIR principles. The TDS is a system developed and maintained by Unidata,a division of the University Corporation for Atmospheric Research (UCAR). The aim of the TDS is 1) to make it simple to enable web service access to existing output files, 2) using free technologies that are easy to deploy and configure, and 3) provide standardized, service-based tools that work in existing research environments. The TDS provides catalog, metadata, and data access services for scientific datasets with remote data access protocols including OPeNDAP, OGC WCS, OGC WMS, and HTTPS. These standardized services enable reusability and increase the visibility of scientific datasets. We will show examples using viewer technologies to access datasets or directly explore these within common development environments such as Python or MATLAB.

Description: This is the data management plan for the research project OceanNETs. It compiles OceanNETs research data output and describes the data handling during and after the projects duration with the aim to make OceanNETs research data FAIR – sustainably available for the scientific community. This data management plan is a living document; it will be continuously developed in close cooperation with the consortium members throughout the project duration. Version 2

Description: The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2022 is an update of the previous version, GLODAPv2.2021 (Lauvset et al., 2021). The major changes are as follows: data from 96 new cruises were added, data coverage was extended until 2021, and for the first time we performed secondary quality control on all sulphur hexafluoride (SF6) data. In addition, a number of changes were made to data included in GLODAPv2.2021. These changes affect specifically the SF6 data, which are now subjected to secondary quality control, and carbon data measured onboard the RV Knorr in the Indian Ocean in 1994–1995 which are now adjusted using CRM measurements made at the time. GLODAPv2.2022 includes measurements from almost 1.4 million water samples from the global oceans collected on 1085 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 96 new cruises were derived by comparing those data with the data from the 989 quality controlled cruises in the GLODAPv2.2021 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2) chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 μmol kg-1 in dissolved inorganic carbon, 4 μmol kg-1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments.