Alien species from a field observation

This dataset contains nifH gene copy numbers, growth rates, and grazing mortality rates of the major unicellular cyanobacterial diazotroph taxa (UCYN-A1, -A2/3/4, -B and -C), and growth rates and grazing mortality rates of total phytoplankton community (inferred by chlorophyll a) in the South China Sea and the Luzon Strait. The associated physicochemical factors including temperature, salinity, nitrate+nitrite, ammonium, phosphate, and chlorophyll a are also available in this dataset. All these data were collected during a research cruise (Cruise No. kk1801) aboard the R/V Tan Kah Kee in early February 2018. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset assembles historical information existing in public and private documentary archives. Taken together, these data contribute to the building of a knowledge base of the historical presence, extent and biogenic formations of European flat oyster ecosystems prior to and during the intensification of bottom fishing activities. To identify and recover such information requires significant resources and expertise. The establishment of a Historical Ecology Working Group under the umbrella of the Native Oyster Restoration Alliance in early 2020 presented a unique opportunity to coalesce interdisciplinary expertise and resources from multiple European countries to collate and interrogate historical data sources. To date, this is the only known dataset that evidences the past distribution, extent and characteristics of this seabed ecosystem across its full biogeographic range. The described datasets present qualitative and quantitative extracts from written records published between 1524-2022, which show: (1) estimated locations of past oyster fisheries and/or reef habitat across its full biogeographical range, with associated levels of confidence; (2) recorded extent of past reef habitats, and; (3) species associated with these habitats. This comprehensive historical analysis demonstrates that oyster reefs were once a dominant three-dimensional feature along much of the European coastline and some shallow shelf seas.

Coral reefs are one of the most diverse ecosystems on Earth. They are currently exposed to increasing levels of anthropogenic perturbations. Several recent reviews point to the lack of good indicators for these perturbations especially to monitor their effects on fish populations or fish assemblages. The SW lagoon of New Caledonia is an ideal location to test indicator species in this context as contrasting sites are present within a small geographical range. This study analysed fish from four sites, one with heavy industrial pollution, another dominated by domestic waste, a third with historic mining activities, and the fourth as a control. The butterfly fish, Chaetodon speculum, was chosen to determine C. speculum’s potential as an indicator species due to its link to coral, its sedentary behaviour and its wide geographical distribution. The size distribution, growth rate, age distribution and whole otolith composition were analysed at each site. Age and mean growth rate were analysed from daily increments of the otoliths. The concentrations of eight elements (Li, Mg, Co, Cu, Rb, Sr, and Ba) were measured by ICP-MS in the otoliths. The sites under anthropogenic impact were distinct from the control site by fish size frequencies, age distributions, and the chemical content of their otoliths. The chemical elements Mg, Co, Cu, and Rb showed differences amongst sites. Fish belonging to the sites furthest from Noume´a could be discriminated in nearly 80% of samples or 60% of the cases when otolith weight or fish age respectively were taken into account. Ni concentrations of the otoliths were also higher in the bays where water concentrations of this element were known to be higher, but these differences were no longer significant once corrected for otolith weight. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

Abundance data (individuals.100 m-3) of planktonic cnidarians collected during the Camadas Finas III oceanographic cruise along the North Brazilian continental shelf between the Amazon and Oyapok river mouths and equatorial Atlantic oceanic waters between 8°N, 51°W and 3.5°S, 37°W. Data was obtained during the oceanographic cruise Camadas Finas III, aboard the research vessel NHo. Cruzeiro do Sul - H38 (DHN/Brazilian Navy), performed in 9-31 October 2012. Planktonic cnidarians were sorted from zooplankton samples collected at at 44 stations in oblique hauls, using Bongo nets with 120 and 300 µm mesh and 0.3 and 0.6 m mouth diameter, respectively. The water column was sampled from near the bottom to the surface over the continental shelf and from 200 m to the surface in the offshore. The net was towed at approximately 2 knots, at various times of day and night. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The present dataset has been used to assess how macrobenthic communities vary depending on (i) the type of dune, (ii) the position within the dune and (iii) the season. It has been combined with a biological traits dataset [Robert Alexandre Elie, Quillien Nolwenn, Bacha Mahmoud, Caulle Clémence, Nexer Maëlle, Parent Briz, Garlan Thierry, Desroy Nicolas (2021). Biological traits of macroinvertebrates associated with subtidal sandy beforms. SEANOE. https://doi.org/10.17882/80785] and results from this analysis have been published in Marine Pollution Bulletin in 2021 [Alexandre Elie Robert, Nolwenn Quillien, Mahmoud Bacha, Clémence Caulle, Maëlle Nexer, Briz Parent, Thierry Garlan, Nicolas Desroy, Sediment migrations drive the dynamic of macrobenthic ecosystems in subtidal sandy bedforms, Marine Pollution Bulletin, Volume 171, 2021, 112695, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2021.112695. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset gathers, total abundance, abundance per size class, total biomass and biomass per size class of two vulnerable fish species, the dusky grouper, Epinephelus marginatus (Lowe, 1834), and the brown meagre, Sciaena umbra Linaeus, 1758, recorded inside and outside the Marine Natural Reserve of Scandola (Corsica, NW Mediterranean) in 2012 and 2018. Fish were recorded by underwater visual censuses performed on belt transects (50 x 15 m) run parallel to the coast between 1 and 40 m depth at 13 sites according to three levels of protection status (integral reserve, buffer zone and unprotected zone). A total of 532 transects were performed in 2012 and 526 in 2018. Image Reference: https://www.seanoe.org/data/00754/86639/illustrations/illustration-134.gif. Corsica 2012-2018-Map Scandola Marine natural Reserve Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

Aerial surveys with bird observations around the off shore wind farm Borssele (North Sea). It is acquired for gaining insight in spatio-temporal behavior of patterns of birds. RWS case number: 31163291.