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9 results for “marine zooplankton”

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zenodo48/100

ZooBase: A global synthesis of marine zooplankton species occurrences.

<p><em><strong>Description of the methods used to implement the present ZooBase dataset (extarct from Section A.2 from the Methods of Benedetti et al., 2021).</strong></em></p> <p>A new dataset of global zooplankton species occurrences was compiled in a comparable fashion to that put together for phytoplankton (Righetti et al., 2020). Prior to retrieving the occurrence data online, we first identified the phyla (Order/Class/Family) that comprise the bulk of extant oceanic zooplankton communities: Copelata (i.e. appendicularians), Ctenophora, Cubozoa (i.e. box jellyfish), Euphausiidae (i.e. krill), Foraminifera, Gymnosomata (i.e. sea angels, pteropods), Hydrozoa (i.e. jellyfish), Hyperiidea (i.e. amphipods), Myodocopina (i.e. ostracods), Mysidae (i.e. small pelagic shrimps resembling krill), Neocopepoda, Podonidae and <em>Penilia</em> <em>avirostris</em> (i.e. cladocerans), Sagittoidea (i.e. chaetognaths), Scyphozoa (i.e. jellyfish), Thaliacea (i.e. salps, doliolids and pyrosomes), Thecosomata (i.e. pteropods), and four families of pelagic Polychaeta (i.e. worms) that are often found in the zooplankton and whose species are known to display holoplanktonic lifecycles (Tomopteridae, Alciopidae, Lopadorrhynchidae, Typhloscolecidae). The presence data associated with species belonging to these groups were retrieved from OBIS and GBIF between the 12/04/2018 and the 18/04/2018 using online queries via the R packages RPostgreSQL, robis and rgbif. Since the Neocopepoda infra-class comprise several thousands of benthic and parasitic taxa (https://copepodes.obs-banyuls.fr/en/), a preliminary selection of the non-parasitic planktonic species had to be carried out prior to the online downloading using the species list of Razouls et al. (https://copepodes.obs-banyuls.fr/en/) as a reference. The spatial distributions of the groups cited above were first inspected using GBIF&rsquo;s and OBIS&rsquo;s online mapping tools to evaluate the potential number of overlapping observations between the two databases. As a result of their relatively low contributions to total observations/diversity, and very high overlap between databases, the occurrences of Cladocera and Polychaeta were retrieved from OBIS only (which usually harbours more occurrences). On top of the data collected from OBIS and GBIF, the copepod occurrences from Cornils et al. (2018) and the pteropod occurrences from the MAREDAT initiative (Buitenhuis et al., 2013) were added to the dataset. We discarded records that: (i) presented at least one missing spatial coordinate, (ii) were associated with an incomplete sampling date (d/m/y), (iii) were associated with a year of collection older than 1800, (iv) were not associated with any sampling depth, (v) were not identified down to the species level. Occurrences associated with grid cells shallower than 10m were removed (bathymetry data from ETOPOv1 at a 15min resolution, downloaded using the &#39;marmap&#39; R package). Finally, every species name was then carefully examined and compared to the taxonomic reference list of the World Register of Marine Species (WoRMS; <a href="http://www.marinespecies.org">http://www.marinespecies.org</a>) for all taxa. The AphiaID and the Status were retreived from WoRMS based on the ScientificName. To remove the duplicate occurrences due to the highly overlapping source archives (GBIF and OBIS), a unique occurrenceID was given to each record based on rounded spatial coordinates (closest 0.1&deg;x0.1&deg;), rounded depth layer (10m depth layers), month and year of the occurrence and the acccpted species name (e.g., AphiaID).</p> <p><strong>This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 862923. This output reflects only the author&rsquo;s view, and the European Union cannot be held responsible for any use that may be made of the information contained therein.</strong></p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Data & R Scripts - Jönander et al. (2022) Single substance and mixture toxicity of dibutyl-phthalate and sodium dodecyl sulphate to marine zooplankton. Ecotoxicol. Environ. Saf.

<p>Data and R scripts associated with:</p> <p>J&ouml;nander, C., Backhaus, T., Dahll&ouml;f, I.&nbsp;(2022) Single substance and mixture toxicity of dibutyl-phthalate and sodium dodecyl sulphate to marine zooplankton. Ecotoxicol. Environ. Saf.</p>

opencc-by-4.0Mar 2022View details →
zenodo40/100

Linked collectors and determiners for: Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON).

Natural history specimen data linked to collectors and determiners held within, "Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Data and R scrips for "Exposure to closed-loop scrubber washwater alters biodiversity, reproduction, and grazing of marine zooplankton"

<p>Research data and scripts associated with the article &quot;Exposure to closed-loop scrubber washwater alters biodiversity, reproduction, and grazing of marine zooplankton&quot; by J&ouml;nander et al.</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Data & R Scripts - Short and long-term effects of low-sulphur fuels on marine zooplankton communities

<p>Data and R scripts associated with &quot;Short and long-term effects of low-sulphur fuels on marine zooplankton communities&quot;&nbsp;https://doi.org/10.1016/j.aquatox.2020.105592&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo36/100

Census of Marine Life: Census of Marine Zooplankton

The Census of Marine Zooplankton includes scientists, students and others interested in zooplankton from around the world who are working toward a taxonomically comprehensive assessment of biodiversity of animal plankton throughout the world ocean, a field project of the Census of Marine Life (see www.CoML.org). We are studying the 7,000 described species in 15 phyla that comprise the holozooplankton – animals that drift with ocean currents throughout their lives. We are determining a DNA barcode (short DNA sequence for species identification) for each species. We sponsor activities such as taxonomic training workshops, sponsors student and researcher visits to CMarZ laboratories. We maintain a distributed data system of biological and physical information from CMarZ related cruises. We provide image galleries of living plankton. <p></p>http://www.cmarz.org/

opennotspecifiedAug 2024View details →
dryad36/100

Data from: Zooplankton responses to simulated marine heatwave in the Mediterranean Sea using in situ mesocosms

Open the record for dataset details and reuse information.

publicFeb 2025View details →
dryad32/100

Data from: Latitudinal species diversity gradient of marine zooplankton for the last three million years

Open the record for dataset details and reuse information.

publicSep 2012View details →
dryad32/100

Acoustic and fluorescence data from: A marine zooplankton community vertically structured by light across diel to interannual timescales

Open the record for dataset details and reuse information.

publicFeb 2021View details →

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International Brain Laboratory public data

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