-
Sawflies of Ethiopian and Ecuadorian highlands in a Chemo-ecological perspective
-
Located in
Library
/
RBINS Staff Publications 2017
-
Scladina Cave (Belgium): fire-production with marcasite/pyrite during the Late Middle Palaeolithic? The Rhine during the Middle Palaeolithic: boundary or corridor ?
-
The Rhine during the Middle Palaeolithic: boundary or corridor ?, Sélestat (France, 15-16 May 2017
Located in
Library
/
RBINS Staff Publications 2017
-
Sclerochronological evidence of pronounced seasonality from the Pliocene of the southern North Sea Basin, and its implication
-
Located in
Library
/
RBINS Staff Publications 2021
-
Screening of suitability of pelitic hard rock formations for radioactivewaste disposal in Belgium
-
One of the host rocks considered for disposing high-level, long-lived and heat-emitting radioactive waste arefine-grained detritic rocks. In Belgium, most research on the storage of nuclear waste is focused on poorly-lithifiedclayey host rock, i.e. the Oligocene Boom and Eocene Yper clays present in the subsurface of northern Flanders.Beside clay also pelitic shaly and slaty formations have favourable characteristics to consider as potential hostrock in Belgium (cf. 1979 European Catalogue).In this contribution a screening assignment is performed on the identification of Palaeozoic pelitic hostrock formations for their suitability to store nuclear waste. Four exclusion criteria are used to eliminate thoseformations that are less suitable as a host. The criteria are: host rock lithology (only pelitic rock is considered),minimum thickness of the formation (> 100 m), minimum depth (a minimum 100 m-thick formation needs to bepresent below 200 m depth), and maximum depth (at least 100 m above 1500 m). The screening approach allowedto retain seven low-grade metamorphic shaly and slaty formations of the Lower Palaeozoic Brabant Massif and theUpper Palaeozoic Ardenne Allochton that have favourable thicknesses and a suitable fine-grained lithology. Theirgeological extent is known to be sufficient, either in subcrop or in outcrop. Currently, a detailed mineralogicaland petrophysical research is performed to investigate complementary properties linked to the long-term safetyof a repository. For each formation, long (> 100 m) continuous drill cores were sampled at low resolution (2 m)to investigate the variation in mineralogical content (with QXRD) and thermal conductivity with depth. To decidehow to cut the cores, their internal geological structure was investigated using micro-CT scanning. The results ofour analyses are compared to published values taken from other (inter)national pelitic host rock investigations.Other formations were not selected because of less optimal characteristics or insufficient material to allowfurther investigations. However, none of the formations should be considered as definitely excluded.
Located in
Library
/
RBINS Staff Publications 2018
-
Sea level rise impact on sediments at the Belgian Continental Shelf
-
Located in
Library
/
RBINS Staff Publications 2019
-
Seabed Community Initiative: communicating sustainability challenges of marine sand use in a changing world <Seabed4U>. Interactive presentation.
-
Located in
Library
/
RBINS Staff Publications 2021
-
Seabed mapping: no one-size-fits-all!
-
Located in
Library
/
RBINS Staff Publications 2024 OA
-
SeaDataCloud quality control of data collections
-
During the SeaDataNet II (SDN) EU-project, the Quality Control Strategy (QCS) has been implemented and continuously reviewed aiming at improving the quality of the global dataset and creating the best products. This QCS has also been used for the first aggregated dataset provided in SeaDataCloud (SDC). New regional temperature and salinity data collections covering the time period 1900-2017 have been released within the SeaDataCloud (SDC) project in 2018. A general description of these datasets, their data quality assessment procedure and results are presented. The specific procedure implemented during SDN II allows assuring and certifying the best quality for the datasets (Fig. 1). After the data harvesting from the central CDI catalogue, QC has been performed at regional levels in a coordinated way, using the ODV software (5.0.0) as common and basic QC analysis tool. In SDC the additional checks have been performed per basin to consider the specific water masses characteristics, per instrument type to investigate data completeness and consistency, per data provider to better identify data anomalies. This QCS allowed to highlight doubtful data and to organize the data anomalies in lists that have been sent to each concerned data originator together with guidelines explaining the expected corrections. The National Oceanographic Data Centers (NODC) have been asked, on the base of those lists, to check and eventually correct the original data and resubmit them in the SDC dataflow. The iterative procedure has been designed to facilitate the update and improvement of SDC database content. A detailed description of each regional dataset (Fig. 2) is contained in a Product Information Document (PIDoc): the general products’ characteristics (space-time coverage, resolution, format), its quality (validation methodology results) together with experts’recommendations for its usability. ODV qualified dataset collections and PIDocs are available at https://www.seadatanet.org/Products. Within SeaDataCloud, the implementation of a cloud environment (Virtual research environment, VRE in Figure 3) aims to optimize and automate the QCS at the central level assuring a continuous monitoring of the database content and its quality. The VRE gives the possibility of generating database snapshots on a regular basis, it facilitates data products versioning and it allows to combine data with subsets from external sources. The VRE will offer to the users the opportunity to access SDC data and services in the cloud thus providing the possibility of generating their own temperature and salinity data products as well as products for other parameters.
Located in
Library
/
RBINS Staff Publications 2018
-
SeaDataCloud temperature and salinity data collections
-
Two versions of temperature and salinity historical data collections for each European marginal sea (Arctic Sea, Baltic Sea, Black Sea, North Sea, North Atlantic Ocean, and Mediterranean Sea) have been published within the framework of SeaDataNet2 Project. They represent a snapshot of the SeaDataNet database content at two different times: V1.1 (Jan 2014, Simoncelli et al., 2014) and V2 (Mar 2015, Simoncelli et al., 2015 and 2016). A Quality Control Strategy (QCS) was developed in SeaDataNet2 and continuously refined in order to improve the quality of the data and create the best data products. The QCS iterative approach facilitates the upgrade of the data and it allows a versioning of data products. A newer version of temperature and salinity historical data collections has been released within SeaDataCloud Project in June 2018. The objective of this presentation is to briefly overview the existing SeaDataNet products and to present the first release of SeaDataCloud temperature and salinity historical data collections (SDC_DATA_TS_V1), spanning the time period 1900-2017, their characteristics in terms of space-time data distribution and their usability. A particular focus will be dedicated to the Mediterranean Sea collection. Temperature and Salinity data sets were analyzed at regional level to assess and report on their quality. A common basic QC analysis was performed using ODV software (5.0.0) and following common QC guidelines. Product Information Documents (PIDocs) contain all specifications about the general products’ characteristics (space-time coverage, resolution, format, usability) and quality (validation methodology and results). Fig. 1 shows an example in the Mediterranean Sea of data density map and time distribution histogram produced per each European basin. Fig. 2 is an example of the scatter diagrams produced per each region and contained in the PIDocs. Statistics about the SeaDataNet infrastructure population in terms of temperature and salinity data per sea basin show a progressive increase of available data. Data quality also improved thanks to the introduction of additional checks by regional experts, exploiting the complete metadata description. The statistics about the quality flags after the quality assessment presents very high percentages of good (QF=1) or probably good data (QF=2): ~99% for the Mediterranean Sea; 98- 99% for the Black Sea; ~99% Arctic Sea; ~99% Baltic Sea; 98-99% for the North Sea and 96(S)- 99% for the North Atlantic Ocean. In fact, the analysis could be performed by instrument type to verify the data set completeness and consistency, and per data originator to identify systematic data anomalies. The derived metadata statistics per sea basin allow monitoring the European data sharing landscape per sea basin and the advent of new sensors, which require particular efforts in data management and quality assessment. Conclusions and Developments All SeaDataCloud products are available as ODV collections through a web catalog (https:// www.seadatanet.org/Products) together with their associated Digital Object Identifier (DOI) and Product Information Document (PIDoc) containing the specifications about product’s generation, quality assessment and technical details to facilitate users’ uptake. The progressive automation of the QCS in the SeaDataCloud Virtual Research Environment will speed up the basic quality check process of the data and further improve the quality of the SeaDataNet infrastructure content and the derived products, which could be delivered with a regular time schedule.
Located in
Library
/
RBINS Staff Publications 2018
-
SeaDataNet, a Network of Distributed Oceanographic Data Centres Now Going to the Cloud
-
Located in
Library
/
RBINS Staff Publications 2017
