Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
65
datasets available to search
ShareScore release 0.9.0
Dataset results
65 results for “marine copepods”
Targeted and untargeted LC-MS copepodamide datasets for marine and freshwater copepods
<p>This repository contains the datasets, analysis code and output generated and used in the scientific article titled "Mass spectroscopy reveals compositional differences in copepodamides from limnic and marine copepods" published in Scientific Reports (https://doi.org/10.1038/s41598-024-53247-1)<em>.</em></p> <p>Detailed information about the datasets are available in the README.txt.</p> <p>The source dataset created from the sampling effort, with targeted liquid chromatography coupled mass spectrometry (LC-MS) data, taxonomic information of individual copepods, their length measurements, estimated biomass etc is available in <em><strong>Masterfile_targeted_data_final.xlsx</strong></em>.</p> <p>The source dataset for precursor LC-MS scan data is available in <em><strong>Precursor_data_Deisotoped.xlsx</strong></em>. </p> <p>The resulting analysis data frames (last sheet in each .xlsx file) are available as separate .csv files (<strong>Arnoldt_targeted_analysis_data.csv</strong> & <strong>Arnoldt_targeted_analysis_data.xlsx</strong>). These files are denoted "Supplementary Data. 2" and "Supplementary Data. 1" respectively in the main article. Data files <strong>Chromatography.csv</strong> and <strong>zooplankton_composition_bulk.csv</strong> are used to create chromatograph line plots (Figures 3a & 3b in the article) and one of the supplementary figures (S1), respectively.</p> <p>A R-markdown file (<strong>Arnoldt_R_Code</strong><em><strong>.Rmd</strong></em>) with the code to analyse and visualise all data, and its html-output file (<strong>Arnoldt_R_Code_Output</strong><em><strong>.html</strong></em>) are also available here. The markdown files uses the four csv-files described in the paragraph above to generate all analyses and figures. The output (.html) file is denoted "Supplementary Code" in the main article.</p>
First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS
<p>This dataset is relative to the paper entitled: "First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS" publishing in journal Diversity (MPDI).</p> <p>Abstract:</p> <p>Zooplankton is a fundamental group in all aquatic ecosystems located the base of the food chain. It forms a link between the lower trophic levels with secondary consumers and shows marked fluctuations of populations with environmental change, especially reacting to heating and water acidification. At sea copepod crustaceans account for app. 70% in abundance of zooplankton and are a target of monitoring activities in key areas such as the Southern Ocean. In this study we have used FAIR-inspired legacy data (dating back to the ‘80s) collected in the Ross Sea by the Italian National Antarctic Program in GBIF.org. Together with other open-access GIS data sources and tools it allows generating, for the first time, three-dimensional predictive distribution maps for twenty-six copepod species. These predictive maps were obtained by applying machine learning techniques to grey literature data, which were visualized in open-source GIS platforms. In a Species Distribution Modeling (SDM) framework we used machine learning with three types of algorithms (TreeNet, RandomForest and Ensemble) to analyze the presence and absence of copepods at different areas and depth classes in function of environmental descriptors obtained from the Polar Macroscope Layers present in Quantartica. The models allow for the first time to map-predict the food chain in quantitative terms showing the relative index of occurrence (RIO) and identified the presence for each copepod species analyzed in the Ross Sea. Our results show marked geographical preferences that vary with species and trophic strategy. This study demonstrates that machine learning is a successful method in accurately predicting Antarctic copepod presence, also providing useful data to orient future sampling and management of wildlife and conservation.</p>
Fig. 31. Parartotrogus arcticus T. and A. Scott, female. A in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 31. Parartotrogus arcticus T. and A. Scott, female. A, maxilla; B, maxilliped; C, leg 1; D, leg 2; E, leg 3 endopod; F, leg 4; G, leg 5. Scale bars: AE, 0.05 mm; F, G, 0.02 mm.
Fig. 25. Asteropontoides acutirostris n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 25. Asteropontoides acutirostris n. sp., female. A, maxilla; B, maxilliped; C, leg 1; D, leg 2; E, leg 3; F, leg 4; G, leg 5 exopod; H, right side of genital doublesomite, dorsal. Scale bars: AF, 0.05 mm; G, H, 0.02 mm.
Fig. 22. Scottocheres mipoensis n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 22. Scottocheres mipoensis n. sp., female. A, maxilla; B, maxilliped; C, leg 1; D, leg 2; E, leg 3; F, leg 4. Scale bars: 0.02 mm.
Fig. 28. Callomyzon macrocephalus n. gen. n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 28. Callomyzon macrocephalus n. gen. n. sp., female. A, maxilliped; B, leg 1; C, leg 2; D, leg 4; E, leg 5 exopod; F, right genital aperture. Scale bars: AC, 0.05 mm; DF, 0.02 mm.
Fig. 30. Parartotrogus arcticus T. and A. Scott, female. A in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 30. Parartotrogus arcticus T. and A. Scott, female. A, habitus, dorsal; B, urosome, dorsal; C, left caudal ramus, dorsal; D, antennule; E, antenna; F, exopod of antenna; G, distal part of antennary endopod; H, same, opposite side; I, mandible; J, maxillule. Scale bars: A, 0.1 mm; B, D, E, 0.05 mm; C, FJ, 0.02 mm.
Fig. 16 in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 16. Asterocheres simulans (T. Scott), female. A, hatitus, dorsal; B, urosome, dorsal; C, rostral area, ventral; D, antennule; E, antenna; F, oral cone; G, mandible; H, maxillule; I, maxilla. Scale bars: A, 0.2 mm; B, DI, 0.05 mm; C, 0.1 mm.
Fig. 19. Asterocheres quadridens n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 19. Asterocheres quadridens n. sp., female. A, habitus, dorsal; B, urosome, dorsal; C, right caudal ramus, ventral; D, antennule; E, antenna; F, mandible; G, distal part of mandibular stylet; H, mandibular palp. Scale bars: A, 0.1 mm; B, DF, 0.05 mm; C, H, 0.02 mm; G, 0.01 mm.
Fig. 29. Callomyzon macrocephalus n. gen. n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 29. Callomyzon macrocephalus n. gen. n. sp., male. A, habitus, dorsal; B, urosome, ventral; C, antennule; D, proximal part of maxilliped; E, leg 5 exopod. Scale bars: A, 0.1 mm; B, 0.05 mm; CE, 0.02 mm.
Fig. 14. Asterocheres cuspis n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 14. Asterocheres cuspis n. sp., female. A, maxilliped; B, leg 1; C, leg 2; D, second and third segments of leg 3 endopod; E, leg 4; F, leg 5 exopod; G, left side of genital doublesomite, dorsal. Scale bars: AE, G, 0.05 mm; F, 0.02 mm.
Fig. 12. Asterocheres horridus n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 12. Asterocheres horridus n. sp., male. A, habitus, dorsal; B, urosome, ventral; C, antennule; D, maxilliped; E, leg 2 endopod; F, leg 5 exopod. Scale bars: A, 0.1 mm; BF, 0.02 mm.
Fig. 10. Asterocheres horridus n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 10. Asterocheres horridus n. sp., female. A, habitus, dorsal; B, urosome, dorsal; C, genital double-somite and first abdominal somite, ventral; D, rostrum; E, antennule; F, antenna; G, oral siphon; H, mandibular stylet; I, mandibular palp; J, maxillule. Scale bars: A, 0.1 mm; B, D, G, 0.05 mm; C, E, F, HJ, 0.02 mm.
Fig. 13. Asterocheres cuspis n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 13. Asterocheres cuspis n. sp., female. A, habitus, dorsal; B, urosome, dorsal; C, caudal rami, dorsal; D, antennule; E, antenna; F, oral cone; G, mandible; H, maxillule; I, maxilla. Scale bars: A, 0.1 mm; B, DI, 0.05 mm; C, 0.02 mm.
Fig. 8. Asterocheres lilljeborgi Boeck, female. A in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 8. Asterocheres lilljeborgi Boeck, female. A, rostral area, ventral; B, mandible; C, maxillule; D, maxilla; E, maxilliped; F, leg 1; G, leg 2. Scale bars: A, D, E, 0.1 mm; B, C, F, G, 0.05 mm.
Fig. 20. Asterocheres quadridens n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 20. Asterocheres quadridens n. sp., female. A, maxillule; B, maxilla; C, maxilliped; D, leg 1; E, leg 2; F, third endopodal segment of leg 3; G, leg 4; H, leg 5 exopod. Scale bars: 0.05 mm.
Fig. 27. Callomyzon macrocephalus n. gen. n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 27. Callomyzon macrocephalus n. gen. n. sp., female. A, habitus, dorsal; B, urosome, dorsal; C, caudal rami, dorsal; D, antennule; E, antenna; F, oral cone; G, mandible; H, maxillule; I, maxilla; J, rostral area, ventral. Scale bars: A, B, J, 0.1 mm; C, 0.02 mm; DI, 0.05 mm.
Fig. 17 in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 17. Asterocheres simulans (T. Scott), female. A, maxilliped; B, leg 1; C, leg 2; D, leg 3 endopod; E, leg 4; F, leg 5 exopod; G, left side of genital doublesomite, dorsal. Scale bars: AG, 0.05 mm.
Fig. 6. Dyspontius alatus n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 6. Dyspontius alatus n. sp., female. A, maxillule; B, maxilla; C, maxilliped; D, leg 1; E, leg 2; F, leg 4; G, right side of proximal part of urosome, ventral. Scale bars: A, D, G, 0.02 mm; B, C, E, F, 0.05 mm.
Fig. 3. Arctopontius adelphus n in Siphonostomatoid copepods (Crustacea) mainly associated with marine invertebrates from Korean waters
Fig. 3. Arctopontius adelphus n. sp., female. A, habitus, dorsal; B, urosome, dorsal; C, first two urosomal somites, ventral; D, rostrum; E, antennule; F, antenna; G, distal part of mandible; H, maxillule; I, maxilla. Scale bars: A, 0.5 mm; BD, I, 0.1 mm; E, F, H, 0.05 mm; G, 0.02 mm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.