<p>The De Maten pond dataset contains data on local pond conditions and taxonomic community composition of phytoplankton, zooplankton, macro-invertebrates and fish from 34 interconnected fish ponds in the "De Maten" nature reserve (Limburg, Belgium).</p>
<p>The database of the PONDSCAPE project (Towards a sustainable management of pond diversity at the landscape level) comprises taxon occurrence data of eight different organism groups (bacteria, phytoplankton, diatoms, cladoceran, macro-invertebrates (mollusks, heteropterans and coleopterans), macrophytes, amphibians and fish) and data on physical, chemical and morphometric variables of 125 farmland ponds covering five biogeographic regions in Belgium/Luxembourg</p>
<p>The BIOMAN dataset comprises local environmental data and community data of different organism groups (bacterioplankton, zooplankton, ciliates, phytoplankton, macro-invertebrates, fish, protists and aquatic vegetation) from 98 shallow lakes covering three geographic regions in Europe sampled in 2000-2001. The database BIOMAN-Belgium is a subset of the overall BIOMAN dataset and includes data from 39 shallow lakes located in Belgium and the Netherlands. </p>
Collection data of terrestrial Mollusca from the 2019 VIETBIO inventory work in Cuc Phuong National Park, Vietnam.
<p>This dataset presents newly collected records of amphipod specimens gathered during the 2024 scientific benthic survey (Cruise DOG24) at the Dogger Bank, North Sea, part of an ongoing annual monitoring effort that has taken place from 1991 to 2024. A total of 8,444 specimens of 14 species belonging to 13 families, 14 genera, and 10 species were identified using morphological methods with Leica M60 and DM750 microscopes. Amphipods, key components of marine benthic ecosystems, were sampled by beam trawl over the Dogger Bank’s stable sandy substrate. This dataset supports a broader research project aimed at (i) developing a taxonomic key for Dogger Bank amphipods, (ii) identifying environmental drivers of species distribution and diversity, and (iii) predicting responses to climate change. Data were structured following the Darwin Core standard.</p><p>The Dogger Bank epibenthos is sampled with a 2 m beam trawl at 37 stations on a yearly basis since 1991 by Senckenberg Marine Zoology. At each station, the catch is sieved to preserve the fine fraction (1 cm - 1 mm), while megafaunal animals are sorted, identified and recorded by their abundance on board of RV Senckenberg. The crustacean and Ichthyology collections at Senckenberg Marine Zoology house the fine fractions from these cruises. In this project, we aim to identify the amphipod species composition and relative abundance from these fine fractions. Starting with the analysis of the fine fractions from the year 2024, we will step by step enhance the dataset with identifications of amphipod fine fractions from other years, back until 1991.</p>
This database comprises information on local environmental variables and occurrence data of macro-invertebrates and aquatic plants from 22 bomb crater ponds in nature reserve Tommelen (Hasselt, Belgium) over a period of 4 years. A subset of the ponds has been dregded over winter in 2008. A number of ponds is connected to a small ditch.
<p>The dataset comprises presence data of arthropods, but also on the groups 'Annelida', 'Bacillariophyta', 'Ascomycota', 'Basidiomycota', 'Bryozoa', 'Chordata', 'Cnidaria', 'Echinodermata', 'Glomeromycota', 'Haptophyta', 'Mollusca', 'Mucoromycota', 'Nematoda', 'Nemertea', 'Ochrophyta', 'Oomycota', 'Porifera', 'Pseudomonadota', 'Rhodophyta', 'Rotifera' and 'Tardigrada'. The arthropods were collected in four different life stages of short rotation coppices (harvested, young (2 years), mature (3 years) and old (4 years)) using 3 different trapping techniques: branch sampling (BS), coloured canopy Malaise traps (MT) and pitfall traps (PIT). In each life stage, three sets of traps were placed (3 sites per life stage) and activated for two weeks, each in May, June, July and August. Once in a month, a branch sampling was conducted. In the branch sampling, 16 trees within a radius of 20m around the canopy Malaise traps were randomly selected and shaken for 10 s. Arthropods fell on a plastic tarpaulin of 1x1 m that was emptied into a collection bottle where the arthropods were stored in 96.7% ethanol.</p><p>The samples were analysed using DNA metabarcoding. In DNA metabarcoding, the Cytochrome Oxidase I-Region was targeted using the primers fwhF2 (forward) and fwhR2n (reverse) from Vamos et al 2017 (https://doi.org/10.3897/mbmg.1.14625) The sequences found in the samples were matched with sequences in the BOLD database. The sequences displayed are already grouped like it is known from OTUs. For this grouping, all sequences with a similarity of 97% were compiled, which means that the grouped sequences finally comprise different genetic variants of the same taxa. For each hit in the database, a plausibility check was performed by comparing the distribution range of a species (calculated from GBIF coordinates) and the trapping locations. For each detection of a sequence in a sample, the number of reads is also given. A flagging system helps the user to estimate the degree of uncertainty arising from each species hit.</p><p>This data and the data in the datasets "https://doi.org/10.15468/9pzhm6" and "https://doi.org/10.15468/9pzhm6" belongs to one study.</p>
Occurrence records were obtained from images extracted from underwater video footage. Video footage was collected by ROV Ægir6000 during the 2016 and 2017 research cruises on the R.V. G.O Sars funded by the Horizon 2020 Funded SponGES Project (Grant Agreement No. 679849). Full-density data will be available through PANGAEA.
The study area for this project was located in the Southern California Borderlands (SCB), situated off the coast of Southern California. Two different sites were chosen for this experiment: 40-Mile Bank (representing a nearshore site likely to experience higher POC flux to the seafloor) and San Juan Seamount (representing an offshore site likely to experience lower POC flux to the seafloor). Each site had experimental deployments at two different depths: ~700m situated in the core of a well-developed Oxygen Minimum Zone (OMZ), representing lower oxygen exposures (7-9 μMol O2/kg), and ~1100m, at the lower boundary of the OMZ (22-23 μMol O2/kg) representing higher oxygen exposures. To conduct the colonization experiment for this project, defaunated rocks and untreated douglas fir wood blocks were deployed at each location and depth (4 total deployments sets). Rocks were defaunated by removing visible fauna and drying for > 10 months. To facilitate deployment and recovery, experimental substrates were individually wrapped in thin black plastic garden mesh (1.2 cm) and affixed to polypro nylon rope loops with duct tape to allow for handling by ROV manipulators. Each nylon loop was labeled with the substrate’s type and replicate number. Wood blocks were soaked in filtered seawater for 48 hours before deployment to reduce buoyancy, and duct tape-covered four-pound lead weights were affixed to the plastic mesh with nylon rope to ensure the wood blocks would remain stationary once deployed at each site. Hard substrates were placed approximately 25-50 cm apart at sites to reduce the likelihood of direct contamination. Hard substrates included rock (ferromanganese, sedimentary, phosphorite, carbonate) and wood (uniform 9.1 x 9.1 x 25 cm untreated douglas fir blocks). Each deployment set included two wood blocks, two carbonate rocks, and one or more other rocks of varied types. The experiment was deployed October 30, 2020 (San Juan Seamount) and November 3, 2020 (40-Mile Bank) by the ROV Hercules during the E/V Nautilus 2020 Southern California Borderland cruise (NA124). The experimental substrates deployed at the four sites for approximately 10 months, and were collected on July 27, 2021 (San Juan Seamount) and July 31, 2021 (40-Mile Bank) during the Schmidt Ocean Institute’s 2021 Biodiverse Borderlands Expedition on board the R/V Falkor (FK210726). Four to seven in situ rocks were collected within 10 m of each colonization deployment site during the same dives to provide information about surrounding assemblages at the start and end of the experiment. The experimental and in-situ rocks were retrieved via the ROV SuBastian, equipped with two high-resolution video cameras, a CDT to measure environmental data, and a manipulator, which was used to gently pick up experimental hard substrates by the nylon loops affixed to them or in situ rocks directly. Each experimental unit or in situ rock was placed individually in clear isolated biobox compartments within a large delrin biobox to avoid contamination between samples. Upon recovery to the ship, the containers with hard substrates were placed in a refrigerated cold room until processing, which usually took place within a few hours of their return to the ship. Each colonization unit or in situ rock was then photographed with a scale and label. All large, visible fauna were removed using forceps. Some were set aside for stable isotope or genetic analyses and recorded, the remainder were preserved in 70% ethanol. The surface area of all hard substrates collected (both experimental and background) was measured by wrapping the substrate in aluminum foil, weighing the aluminum foil, and calculating the surface area using the weight per unit area of aluminum foil. The exception was the wood blocks, which were originally each a uniform 1075.62 cm2 in surface area. Surface area at the end of the experiment was not measured, although it may have increased in those heavily bored by Xylophagaid bivalves. The residue water contained in each biobox compartment was washed through a 45-micrometer and 300-micrometer mesh to collect meiofauna and macrofauna, respectively. Hard substrates were left in buckets of room-temperature seawater overnight to allow the remaining fauna to fall or crawl out of the crevices of the hard substrates. The substrates and the residue water in the buckets were then also washed through a 45-micrometer and 300-micrometer mesh to recover meiofauna and macrofauna. All macrofauna sorted upon recovery or retained on the 300-micrometer mesh were combined and preserved in 70% ethanol for later sorting and identification and are the subject of this dataset. After the cruise, all macrofauna (fauna retained on a 300-micrometer screen) from the experimental and in situ hard substrates were sorted, counted, and identified to the lowest taxonomic group feasible. Each sample was washed over a 300-micrometer mesh sieve and collected in petri dishes to be analyzed under a dissecting microscope at 25x magnification. Each animal was then sorted into major phyla and subsequently identified to the level of species or morphospecies. Due to the high density of xylophagaid bivalves and the inability to extract these animals without damage, wood blocks were subsampled to estimate xylophagaid bivalve counts. Wood blocks were sliced into one-inch sections and all visible boreholes on the interior wall of four randomly selected slices were measured for depth. Boreholes up to the average depth (generally 2-3mm) were then counted on the interior wall of each of the four slices and averaged. The average number of boreholes counted per wood slice face was then multiplied by the length of the wood blocks (250mm) divided by the average depth of the boreholes across the selected slices of wood to achieve an estimated number of adult xylophagaid bivalves across the whole block of wood. The exception to this method was for SCB-058 (Wood sample 3 from San Juan Seamount at 694m) due to the wood splitting lengthwise during processing. One side of the block was treated as the subsample wood slice for this sample and boreholes were counted via the same process described above, but multiplied by width (91mm) rather than length in the calculation.
In the past decade, the biology of the bathyal, abyssal, and hadal faunas of all size classes(meio- macro-, and megabenthos) of the NW Pacific have been intensively investigated based on a Memorandum of Understanding (2007) between Russian and German partners. A total of four Russian-German and German-Russian expeditions with the RV Akademik M.A. Lavrentyev and RV Sonne have provided a wealth of data on the systematics, evolution and biogeography of the deep-sea faunas of the Sea of Japan (SojaBio, 2010) (Malyutina and Brandt 2013), Sea of Okhotsk (SokhoBio, 2015) (Malyutina et al. 2018), the Kuril-Kamchatka Trench (KKT), and the NW Pacific open abyssal plain adjacent to the KKT (KuramBio I and II, 2012 - 2016) (Brandt et al. 2019; Brandt et al. 2018; Brandt et al. 2020; Brandt and Malyutina 2015). The goals of these expeditions were to study the biodiversity, biogeography, and evolution of the benthic organisms in different NW Pacific deep-sea environments. We aimed to compare more isolated deep-sea basins with more easily accessible ones (Sea of Japan vs. Sea of Okhotsk) and to test whether the hadal bottom of the trench of the KKT isolates the fauna from the Sea of Okhotsk to the fauna of the open NW Pacific area. The faunal composition of these areas comprising systematic, ecological, and biogeographical data, as well as evolution of protists, selected invertebrate taxa and fish, has been published in four scientific volumes, and includes the formal descriptions of many species, some genera, and one family (Brandt et al. 2020; Brandt and Malyutina 2015; Malyutina and Brandt 2013; Malyutina et al. 2018; Saeedi et al. 2020). Based on these expeditions, the Beneficial project (Biogeography of the northwest Pacific fauna. A benchmark study for estimations of alien invasions into the Arctic Ocean in times of rapid climate chance) was designed. The main aims of the Beneficial project were 1- digitizing the biodiversity and environmental data collected during our expeditions, 2- discovering the deep-sea biogeography and biodiversity patterns in the NW Pacific, 3- predicting the potential future distribution range shifts of key species from the NW Pacific to the Arctic Ocean under rapid climate change, and 4- compiling a novel book on the taxonomy and biogeography of the highly abundant key species. All the data, publications, and the book arising from this project provide crucial benchmarks and datasets for any deep-sea biodiversity assessment, and help predict the future status of the Arctic marine ecosystem in a changing environment (Brandt et al. 2020; Canonico et al. 2019; Saeedi et al. 2019b; Saeedi et al. 2019c; Saeedi et al. 2019d; 2020; Saeedi et al. 2019e).
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