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.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “Spongilla”
Fig. 8 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 8. Presence of i56 sequence varieties in Spongilla lacustris (Linnaeus, 1759) at different collecting sites. Black lines on the map represent watersheds between the catchment areas and cross hairs mark the actual sampling site. Seven sequence varieties were found, designated z-242T, z-242G, y-290G, y-290A, y-24G, w-377G and w-377T. Pie charts indicate fraction of the varieties at a site, and circle area corresponds to number of specimens sequenced from the site.
Fig. 7 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 7. Networks of i56 varieties in Swedish Spongilla lacustris (Linnaeus, 1759). Colours indicate catchment area. Seven varieties are designated; z-242T, z-242G, t-24G, y-290G, y-290A, w-377G and w-377T, see Table 3. A. PopART integer neighbor-joining network (described in Leigh & Bryant 2015). Pie chart size proportional to the number of specimens found of the variety. Hatches indicate number of substitutions between varieties, sites with indels are excluded; thus, no differences are picked up between z-242T and z-242G. B. SplitsTree neighbor network based on HKY85 distances.
Fig. 6 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 6. Neighbor-joining trees based on HKY85 distances. A. coxI dataset. B. 28S dataset. Sequences with a specimen field number (starting with P052- or P059-) are from the present study, remaining sequences are from GenBank with the accession number in the label.
Fig. 5 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 5. Eunapius fragilis (Leidy, 1851). A. Habitus (P059-170829-4). B. Spiculae, m = megasclere (P059-170830-13), g = gemmulosclere (P059-170902-1). C–D. Estimated spicula size distribution within and between specimens, P059-170802-10 (solid line), P059-170830-2 (dashed) and P059-170830- 4 (dotted). Marks on the x-axis represent spiculae measured. C. Megascleres. Brackets correspond to ranges in literature (red = Tendal 1967b; blue = Penney & Racek 1968; black = Evans & Montagnes 2019). D. Gemmuloscleres.
Fig. 3 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 3. Ephydatia fluviatilis (Linnaeus, 1759). A. Habitus (P059-211231-1). B. Spiculae, m = megasclere (P059-170902-2), g = gemmulosclere (P059-170902-1). C. Estimated megasclere size distribution within and between specimens, P059-170902-1 (solid line), P059-170902-2 (dashed), P059-170902-3 (dotted). Marks on the x-axis represent spiculae measured. Brackets correspond to ranges in literature (red = Tendal 1967b; blue = Penney & Racek 1968; black = Evans & Montagnes 2019).
Fig. 4 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 4. Ephydatia muelleri (Lieberkühn, 1856). A. Habitus (P059-170829-4). B. Spiculae, m = megascleres (P059-170830-13), g = gemmuloscleres (P059-130828-18). C. Estimated megasclere size distribution within and between specimens, P059-130829-3 (solid line), P059-170830-13 (dashed) and UP-16-1-2 (dotted). Marks on the x-axis represent spiculae measured. Brackets correspond to ranges in literature (red = Tendal 1967b; blue = Penney & Racek 1968; black = Evans & Montagnes 2019).
Fig. 1 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 1. Sampling sites and species found in main catchment areas in Sweden. Black lines represent watersheds between catchment areas, from the Swedish Meteorological and Hydrological Institute SVAR database (Westman et al. 2017). Crosses are sites visited but where no sponge was found, dots are sites where sponges were collected. The neighbouring pie icon indicates the species present at that site: blue (top right) is Spongilla lacustris (Linnaeus, 1759), yellow (bottom right) Eunapius fragilis (Leidy, 1851), black (bottom left) Ephydatia fluviatilis (Linnaeus, 1759) and green (top left) Ephydatia muelleri (Lieberkühn, 1856).
Fig. 2 in Addition to Sweden's freshwater sponge fauna and a phylogeographic study of Spongilla lacustris (Spongillida, Porifera) in southern Sweden
Fig. 2. Spongilla lacustris (Linnaeus, 1759). A–B. Habitus. A. Specimen growing under a pontoon (P059-171011-6). B. Specimen growing on anchor chain, with finger–like projections (P059-170802- 48). C–D. Spiculae. C. Megasclere (P059-171008-4). D. Microsclere (P059-171008-1). E–F. Estimated spicula size distribution within and between specimens, P059-130831-1 (solid line), P059-170802- 8 (dashed) and P059-171008-4 (dotted). Marks on the x-axis represent spiculae measured. Brackets correspond to ranges in literature (red = Tendal 1967b; blue = Penney & Racek 1968; black = Evans & Montagnes 2019). E. Megascleres. F. Microscleres.
Fig. 12. Spongilla purbeckensis Young, 1878 in Fossil freshwater sponges: Taxonomy, geographic distribution, and critical review
Fig. 12. Spongilla purbeckensis Young, 1878, Spongillida: Spongillidae; Purbeck Limestone, Lower Cretaceous, Stare Cove, Dorset, England. A. Spicules in the spiculite as illustrated by Hinde (1883). B. Spiny oxeas in the drawing of Young (1878). Originally not to scale; it may be inferred from the text that spicules are 450 μm long.
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.