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.
1,198
datasets available to search
ShareScore release 0.7.1
Dataset results
1,198 results for “Crustaceans”
Fig. 3 in Impacts of crustacean invasions on parasite dynamics in aquatic ecosystems: A plea for parasite-focused studies
Fig. 3. Introduced parasites ‾ native/introduced hosts: hypothetical examples of the potential effects of invasive crustaceans on native parasites. Note that only a subsample of non-exclusive scenarios from a number of potential outcomes of non-native parasite introduction is represented here. The hypothetical non-native parasite considered here has a two-host life cycle involving a definitive host predator and an intermediate host prey, transmission from the intermediate host to the definitive host requiring consumption of infected intermediate host prey. The variable sizes of squares, circles and diamonds represent relative intermediate and definitive hosts, and parasite abundances, respectively. During transmission, some parasites are unsuccessful and therefore lost from the system (parasite loss); the thickness of the arrows indicates the relative numbers that are either lost or successfully transmitted. The life cycle at the top left represents the situation in the ecosystem of origin of the parasite, providing a benchmark for comparisons. Prior to the invasion, the hypothetical recipient ecosystem does not contain native parasites for simplification of representation. (A) The parasite is co-introduced with its intermediate host prey. The invasive parasite retains its original, co-introduced hosts and uses native definitive hosts to complete its life cycle. The situation represented here is the simplest one where the native predator exactly replaces the original definitive host of the parasite with no effect on either parasite dynamics or host abundance. However, parasite invasion may in turn negatively affect native predators and change parasite dynamics compared to that observed in the original ecosystem (shown at the top left). (B) The parasite is again cointroduced with its intermediate host prey. The invasive parasite retains its original, co-introduced hosts and uses native definitive hosts to complete its life cycle but also uses the native prey species as an alternative transmission vector. The introduced parasite may negatively influence native host abundance, thus influencing invasion success of its co-introduced host, as shown here. This may in turn lead to greater infection levels in definitive hosts in the recipient ecosystem than in the original ecosystem of the parasite (situation not represented here) (C) The non-native parasite is introduced without its original host (or this host does not survive translocation) but is subsequently included in the recipient food web. The novel parasite may in turn have drastic effects on intermediate and/or native hosts and reach higher infection levels in these novel hosts as represented here. However, a multitude of alternative scenarios are possible with as many outcomes in terms of parasite dynamics.
Figure 3 in Depth-related gradient of soft-bottom crustacean distribution along the Cilician shelf*
Figure 3. Spatiotemporal (depths and months) and annual (average) changes of crustacean faunistic parameters on the Cilician shelf for number of crustacean species (S), density (N), biomass, species richness (d), evenness (J'), and Shannon–Wiener diversity (H') indexes. Each point represents the value obtained from averaging values of each parameter across all replicates at each depth (n = 9).
Figure 5 in Depth-related gradient of soft-bottom crustacean distribution along the Cilician shelf*
Figure 5. CCA ordination of species (based on abundance data) with superimposed symbols representing bottom depth (see Figure 4), sedimentary parameters, and sea surface temperature of the sampling locations in February (F), May (M), August (A), and November (N). Symbol size is proportional to value of each variable, i.e. the largest symbol corresponds to the maximum value.
Figure 4 in Broad-scale ecological distribution of dominant macrozoobenthic taxa of the northern Cilician shelf, eastern Mediterranean Sea: crustaceans*
Figure 4. Abundance distribution of dominant species in each crustacean assemblage identified by CCA. Circle diameter is proportional to the abundance. The largest circle corresponds to the maximum abundance (see Appendix on the journal's website for the maximum abundance observed) of each species.
Figure 1 in Broad-scale ecological distribution of dominant macrozoobenthic taxa of the northern Cilician shelf, eastern Mediterranean Sea: crustaceans*
Figure 1. Study area and Turkish part of the Cilician Basin (transects: M: Mersin, I: İskenderun, A: Anamur) and location of the sampling stations (depth code: 1: 10 m, 2: 25 m, 3: 50 m, 4: 75 m, 5: 100 m, 6: 150 m, and 7: 200 m) visited in November 2005, March 2006, July 2006, and January 2007.
Figure 6 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 6. Livoneca punctata on gill of Alosa immaculata (A), manca (B, D), adult female L. punctata and its juvenile manca (C).
Figure 5 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 5. Infestation of Nerocila spp. on Platichthys flesus (A) and infestation of Nerocila bivittata on Pegusa nasuta (B), mechanic injury on caudal peduncle of sole (C), clear lesions on caudal fin of sea bass (D. labrax) (D).
Figure 2 in Identification and characterisation of crustacean hyperglycaemic hormone (CHH) from Mediterranean shore crab Carcinus aestuarii
Figure 2. Multiple alignment of the CHH from C. aestuarii along with the CHHs (XO-type) from C. maenas.
Figure 1. A in Identification and characterisation of crustacean hyperglycaemic hormone (CHH) from Mediterranean shore crab Carcinus aestuarii
Figure 1. A) Nucleotide and open reading frame of the CHH prepropeptide of C. aestuarii. B) Protein sequence. signal peptide (SP) and CHH precursor related peptide (CPRP), followed by the mature peptide (MP).
Figure 3 in Identification and characterisation of crustacean hyperglycaemic hormone (CHH) from Mediterranean shore crab Carcinus aestuarii
Figure 3. Bayesian phylogeny based on the multiple sequence alignment of the full-length of the prepro-CHHs from Brachyura. Posterior probability values below 1 are displayed, while those fully supported are blanks. Each sequence is reported as follows: GenBank accession number, abbreviation of the species followed by the variant name of the CHH, as reported by each researcher. Circled in red is the position of the CHHs from C. maenas and C. aestuarii. See Supplemental File S1 and the main text for details. Caes: Carcinus aestuarii, Cmae: Carcinus maenas, Csap: Callinectes sapidus, Soli: Scylla olivacea, Ptri: Portunus triturbeculatus, Spar: Scylla paramamosain, Cpro: Cancer productus, Cbai: Chionoecetes bairdi, Cjap: Chionoecetes japonicas, Bthe: Bythograea thermydron, Oqua: Ocypode quadrata, Mthu: Metopograpsus thukunar, Pmar: Pachygrapsus marmoratus, Ngra: Neohelice granulate, Ppus: Ptychognathus pusillus, Esin: Eriocheir sinensis, Dcel: Discoplax celeste, Gnat: Gecarcinus lateralis, Gnat: Gecarcoidea natalis.
Figure 1 in Androgenic hormones in crustacean aquaculture: a review
Figure 1. Male crayfish showing location of male reproductive tract accessible via the base of the fifth walking leg. ag = androgenic gland, g = gonopore, t = testes, and vd = vas deferens (adapted from Mead, 2008).
Fig. 5 in Seasonal variation of the crustacean fauna in the belowground and aboveground strata in a Halodule wrightii meadow of northeastern Brazil
Fig. 5. Similarity among samples from aboveground stratum of Halodule wrightii meadow on Goiabeiras Beach, city of Fortaleza, state of Ceará, northeastern Brazil; Legend: I) samples collected in predominantly dry months; II) samples collected in predominantly rainy months.
Fig. 2 in Seasonal variation of the crustacean fauna in the belowground and aboveground strata in a Halodule wrightii meadow of northeastern Brazil
Fig. 2. Abundance of crustacean fauna captured in belowground and aboveground strata of Halodule wrightii meadow on Goiabeiras Beach, city of Fortaleza, state of Ceará, northeastern Brazil.
Fig. 4 in Seasonal variation of the crustacean fauna in the belowground and aboveground strata in a Halodule wrightii meadow of northeastern Brazil
Fig. 4. Similarity among samples from belowground stratum of Halodule wrightii meadow on Goiabeiras Beach, city of Fortaleza, state of Ceará, northeastern Brazil; Legend: I) samples collected in predominantly dry months; II) samples collected in predominantly rainy months; III) samples collected in both climatic periods.
Fig. 1 in Seasonal variation of the crustacean fauna in the belowground and aboveground strata in a Halodule wrightii meadow of northeastern Brazil
Fig. 1. Location of study area. Goiabeiras Beach, city of Fortaleza, state of Ceará, northeastern Brazil.
Fig. 3 in Seasonal variation of the crustacean fauna in the belowground and aboveground strata in a Halodule wrightii meadow of northeastern Brazil
Fig. 3. Mean Shannon diversity and Pielou evenness indices of crustacean fauna associated with belowground and aboveground strata of Halodule wrightii meadow in dry and rainy seasons on Goiabeiras Beach, city of Fortaleza, state of Ceará, northeastern Brazil (a, indices for community associated with belowground stratum; b, indices for community associated with aboveground stratum).
Fig. 8 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 8. Trace fossils and modern burrows that render some similarities to Sinusichnus crustacean burrow networks. Circle on the right shows grapholglyptids and Cochlichnus at the same scale as the others, except for the burrows of the Chinese mitten crab, Eriocheir sinensis. Likewise, all drawings are plan views, except for Gyrolithes which is lateral view. Megagrapton irregulare after Häntzschel 1975; Stereobalanus burrow from Romero-Wetzel 1989; Ophiomorpha irregulaire after Bromley and Ekdale 1998; Eriocheir burrow from Rudnick et al. 2005; Gyrolithes marylandicus, Thalassinoides suevicus, Cosmorhaphe parva, and Protopaleodictyon helicoidea after Seilacher 2007; Cochlichnus anguineus from Gibert and Sáez 2009.
Fig. 9 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 9. Depositional setting of the crustacean burrow Sinusichnus sinuosus Gibert, 1996 bearing outcrops in the Vilomara area, Spain. A. Stratigraphic log showing the location of Sinusichnus (indicated by stars) (vf, very fine-grained sand; vc, very coarse-grained sand). B. Correlation panel (from López-Blanco et al. 2000c) showing Sinusichnus occurrences in relation to facies belts on the Sant Llorenç del Munt fan-delta complex and within the regressive sequence set of the Vilomara Composite sequence. Location of A is indicated. C. Panoramic view of the transition from delta front (sandstone beds on the SE) to prodelta (siltstone and mudstone beds on the NW) including Sinusichnus horizons (stars). D. Detail of the tabular alternation of sandstones and siltstone beds on the transition from delta front to prodelta that bears S. sinuosus.
Fig. 7 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 7. Graphics illustrating the relation between some measured parameters of the crustacean burrow Sinusichnus sinuosus Gibert, 1996. A. Above, correlation plot of amplitude (A) versus wavelength (λ) for all the specimens measured in the six localities. Below, same diagram for each one of the six localities individually. B. Above, correlation plot of diameter (Ø) versus A/λ ratio for all the specimens measured in the six localities. Below, same diagram for each one of the six localities individually.
Fig. 4. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 in Recurrent constructional pattern of the crustacean burrow Sinusichnus sinuosus from the Paleogene and Neogene of Spain
Fig. 4. The crustacean burrow Sinusichnus sinuosus Gibert, 1996 from the Upper Miocene Dos Hermanas outcrop in the Guadalquivir Basin, Spain. A. Plan view of two intersecting burrow systems (preserved as full-relieves) (A1) and schematic drawing (A2). B. Semi-lateral view of the same systems, where it is possible to observe the thick spreiten. C. Transverse burrow section, showing the heterolithic composition of the spreiten. D. Detail showing the spreiten and the coarser-grained passive infill of the tunnel. Field photographs.
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.