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Reproduction is a fundamental process within ecology as it is essential for the continuation of all species on earth. Environmental factors that influence reproduction, such as the spatial distribution of resources needed for reproduction, can shape the behavioural strategies used by different populations. Brook trout (Salvelinus fontinalis) require groundwater upwellings at spawning sites for successful reproduction. The spatial distribution of this resource can vary from lake to lake. I examined brook trout spatiotemporal distributions in two lakes that differed in the spatial distribution of groundwater flow – clumped (Stringer Lake) versus dispersed (Scott Lake) – using acoustic telemetry data during the peak spawning period. I hypothesized that brook trout in Stringer Lake would have a smaller spatial distribution, greater movement, and lower spawning site occupancy. Conversely, brook trout in Scott Lake would have a greater spatial distribution, smaller movement patterns, and higher spawning site occupancy. The spatiotemporal data in each lake displayed unique relative densities while also showing reproductive behaviour in areas which have yet to be documented. Within each lake brook trout had different movement and observation states and there were different probabilities of occupancy, survival, and emigration in spawning areas. This study describes how the spatiotemporal distribution of resources required for spawning in two different lakes affects the behaviour and distribution of brook trout. This study also provides the necessary methodology to examine how spawning resource distribution affects fish behaviour.

There are several research infrastructures or other data services running in Europe that cover a multitude of marine-related sciences, providing specific datasets coming from observations collected with different methods. These infrastructures constitute a diverse world, each looking at a piece of the big picture, sometimes hindering collaboration and data sharing. Blue-Cloud aims to overcome fragmentation and build a bridge between thematic science clusters - such as marine, climate, food and agriculture sciences - and EOSC, creating a data federation and providing a common access to a so-called thematic EOSC for marine data. By connecting leading marine data management infrastructures with horizontal e-infrastructures, the project aims to maximise the exploitation of data resources available from different sources. The Blue-Cloud framework consists of two major technical components: (1) a Blue-Cloud Data Discovery and Access service, already presented in a previous EOSC in practice story, to serve federated discovery and access to blue data infrastructures, and (2) a Blue-Cloud Virtual Research Environment (VRE) to provide computing platforms and analytical services facilitating the collaboration between researchers, which is detailed hereafter. The Blue-Cloud VRE is powered by the D4Science Infrastructure. [M. Assante et al. (2019) Enacting open science by D4Science. Future Gener. Comput. Syst. 101: 555-563 10.1016/j.future.2019.05.063 ] The full list of EOSC in practice stories is available here

The Marine Biological Reference Collections (CBMR) are located at the Institute of Marine Sciences (ICM-CSIC) in Barcelona, Spain. The CBR are a Unit of Service where around 15000 referenced species are preserved, catalogued and maintained for their study. The most represented marine groups at the CBMR are fish, crustaceans, molluscs and echinoderms, but also other groups are present. The studies based on the CBMR specimens are focused on biodiversity, biogeography, taxonomy (type species), invasive and alien species, and genetic analysis. Several PhD theses have also been carried out in collaboration with the CBMR.The CBMR are a reference point for the marine biodiversity of the Mediterranean Sea, but in their facilities the CBMR also hold specimens from all the oceans (Atlantic, Pacific, Indian, Antarctic and Arctic). The Collections are constantly receiving new specimens and updating. The main sources of specimens are oceanographic surveys and different kind of sampling programs carried out by the research projects run by the ICM-CSIC. However, the CBMR have also received (in the past and currently) different collections donated by naturalists, researchers, other institutions, and particulars. The CBMR were created in 1981, in the earlier history of the ICM-CSIC, by Jaume Rucabado, Domingo Lloris and Concepción Allué. The Collections were later recognized and catalogued by the Spanish Ministry of Culture in 1990. In the last decade, the CBMR initiated a new stage where the information was digitized and the physical preservation of specimens updated to the new rules (such as change from formaldehyde to ethanol). The CBMR are now part of GBIF (Global Biodiversity Information Facility), thus making public and available all data collections and their metadata. We have also incorporated the use of Geographical Information Systems (GIS) to monitor and study the geographical distribution of our specimens and moreover, the CBMR started to act as repository of DNA voucher collections for genetic analyses.As a unit of service of the ICM-CSIC we think that education and outreach of marine science is of crucial importance for the society and for that reason the CBMR take active part in several outreach activities with schools, universities and general public. For more information or details you can visit our webpage (http://cbr.icm.csic.es/en/node) and send us an e-mail (cbr@icm.csic.es). We will be happy to help you.

Momarsat 2022 cruise report: summary of dives and operations, and position of moorings and observation infrastructures and sampling locations

Water/ice velocity data and instrument status from a Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The Aquadopp System Integrator Manual by Nortek AS can be found here: https://sensor.awi.de/rest/sensors/onlineResources/getOnlineResourcesFile/1764/system-integrator-manual_Mar2016.pdf

Raw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6_237_BACSAM_2022 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.

The data sets under this data collection include detailed snow pit studies of snow temperature, density, specific surface area (SSA), stratigraphy (snow grain type & size and hand hardness), and salinity as well as high-resolution snow penetrometer measurement profiles. The data were collected during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea in May 2018. For more detailed information, please refer to the individual data sets.

This bibliography unites different data types collected by a remotely operated vehicle (ROV) underneath drifting sea ice during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition of the research vessel Polarstern (AWI, 2017) between November 2019 and September 2020 (Nicolaus et al., 2022). The observation class M500 ROV was manufactured by Ocean Modules AB (Åtvidaberg, Sweden) and is owned by the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (Bremerhaven, Germany). It was equipped with an extended multidisciplinary sensor payload. To investigate the under-ice light field and bio-optical properties, the ROV was equipped with hyperspectral radiometers, transmissometers and a triplet fluorometer. Oceanographic properties were recorded with a standard CTD package including sensors for dissolved oxygen, nitrate and pH. Single beam and multibeam sonar allowed for a three-dimensional mapping of the ice underside, while an acoustic current profiler measured relative water currents. In addition to different video and still cameras for visual documentation of the under-ice environment, the ROV was equipped with a hyperspectral imager. For sampling of the under-ice ecosystem, a suction sampling system and an under-ice plankton as well as a gypsum net were attached to the ROV. Data were collected for all seasons and for various sea-ice and surface conditions. All data are provided at their original temporal resolution and have a common GPS synchronized timestamp. All times are given in UTC. Horizontal position of the ROV was determined using a long baseline acoustic positioning system and is provided in a floe-fixed, relative coordinate system (X, Y) with the origin (X=0 m, Y=0 m) at the ROV access hole in the MOSAiC central observatory (CO). Operations were conducted in a 300 m radius around the hole. A one function manipulator in combination with the ROV's six degrees of freedom enabled deployment and recovery of equipment (e.g. sediment traps) underneath the ice cover. Details about the respective deployment conditions can be found in the respective cruise reports of MOSAiC. A technical description of the ROV can be found in Katlein et al. (2017). MATLAB codes used for processing the data are published on ZENODO (Anhaus et al., 2023). The data will be described in a respective ROV data paper. When reusing the data, please refer to this data paper (Anhaus et al., in prep.) and the actual datasets listed below (Datasets listed in this bibliography). Please carefully read the comment section below and contact the author(s) before using the data.

This document summarizes the key aspects of the EU Commission's strategy to harness the potential of offshore renewable energy.

Raw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6_235_IceBird_2022 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.