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.
668
datasets available to search
ShareScore release 0.7.1
Dataset results
668 results for “Mussels”
Figure 3 in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 3. Phylogram of one of the ten equally most parsimonious trees recovered by combined evidence analysis. Numbers associated with the branches are lengths, summed across all character partitions. Branches that were not resolved in the strict consensus (Fig. 2) are shown as broken lines. Problematic cytochrome oxidase subunit I sequences were excluded from the analysis.
Figure 16 in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 16. Representatives of the Mycetopodidae. A, Anodontites trigonus FMNH 21479. B, Monocondylaea minuana UMMZ 248904. C, Leila blainvilliana (Lea, 1834) ANSP 41827. D, Mycetopoda pittieri Marshall, 1927 INHS 14870.
Figure 6. Palaeoheterodont hinges. A in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 6. Palaeoheterodont hinges. A, Neotrigonia pectinata (Lamarck, 1819) ANSP 71515. B, Lamellidens marginalis (Lamarck, 1819) ANSP 41775. C, Fusconaia ebena (Lea, 1831) ANSP 188259. D, Aspatharia chaiziana (Rang, 1835) ANSP 41813. E, Pleiodon ovata (Swainson, 1823) UMMZ 112006.
Figure 14 in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 14. Representatives of the Etheriidae. A, Etheria elliptica MCZ 293466. B, Acostaea rivolii UMMZ 23485. C, Pseudomulleria dalyi UMMZ 112658.
Figure 13 in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 13. Representatives of the Hyriidae. A, Diplodon rotundus (Spix & Wagner, 1827) (+ D. deceptus fide Parodiz, 1968) UMMZ 111283. B, Diplodon chilensis BMNH uncat. C, Prisodon obliquus Schumacher, 1817 UMMZ 110938. D, Castalia ambigua (Lamarck, 1819) FMNH 67901. E, Hyridella australis MCZ 89361. F, Lortiella froggattii Iredale, 1934 FMNH 115329.
Figure 1 in Palaeoheterodont diversity (Mollusca: Trigonioida + Unionoida): what we know and what we wish we knew about freshwater mussel evolution
Figure 1. Taxonomic and geographical diversity of the Unionoida. Data summarized from Table 1. A, Taxonomic partitions of the Unionoida. Separate wedges represent the two superfamilies discussed in the text: Unionoidea and Etherioidea. B, Geographical distribution of the Unionoida. The smaller wedge represents the southern continents: South America, Africa, and Australasia.
Fig. 5. Namkongnaia lemeslei gen. et comb. nov. A. Labels associated with the syntype lot. B in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)
Fig. 5. Namkongnaia lemeslei gen. et comb. nov. A. Labels associated with the syntype lot. B. Original figure (after Morelet 1875: pl. 14 fig. 1). C–D. Syntype MNHN MP 3150 (photographs by V. Heros and M. Caballer) from Battambang Province, Cambodia. E. Specimen MUMNH-UNI2669. F. Specimen MUMNH-UNI2829 from Kampong Kdei River, Siem Reap Province, Cambodia. Scale bars: 10 mm.
Fig. 2 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)
Fig. 2. Time-calibrated tree of the subfamily Gonideinae based on the concatenated alignment dataset of COI + 16S + 28S genes. Nodes present time estimates since the most recent common ancestor (tMRCA) in millions of years ago (Mya). Node bars indicate 95% highest posterior density interval (HPD) of the node ages. Sufficiently supported nodes (BPP> 0.95) are marked with '*'. The geologic time scale is according to the Geological Society of America, 2019.
Fig. 1 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)
Fig. 1. Maximum likelihood (ML) tree of the subfamily Gonideinae based on the concatenated dataset of COI + 16S + 28S genes. Bootstrap values from ML and posterior probabilities from Bayesian inference analysis (BI) of the major nodes are listed as ML/BI. Nodes with posterior probabilities of BI ≥ 0.95 and ML bootstrap support values ≥ 70 were considered as sufficiently supported nodes (Huelsenbeck & Hillis 1993; Larget & Simon 1999), and are marked with black circles (supported by both BI and ML), white circles (supported only by BI), or grey circles (supported only by ML).
Fig. 3 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)
Fig. 3. Map showing distribution localities of Namkongnaia gen. nov. Boundaries of river basins follow Abell et al. (2008).
Spat settlement and growth of blue mussels on longlines in a Faroese fjord
<p>Settlement and growth of blue mussels on three kinds of spat settlement ropes were tested. Fuzzy rope, Trawl and a flat rope commonly used as spat collectors at mussel farms in Denmark. The settlement on the flat rope was very poor, with only a few individuals so the data set consists blue mussel density on the two other spat collectors. The spat collectors were deployed at 0-15 m depth for three years with no restocking. The data is used in the report "Blue mussel spat availability and settlement on longlines in a Faroese Fjord" DOI: 10.5218/zenodo.6563040 and "Ecosystem services by blue mussels in a coastal area" Fiskaaling rit 2022-05</p>
CS9 - Mussel offshore farm technology socio-economic study in Sweden 2022
<p>The dataset contains a socio-economic analysis based on the operation of a mussel farm in Sweden. The production system has the potential to operate offshore and produce increased volumes of biomass per unit of space. The socio-economic metrics calculated include level of employment, gross value added and ripple effects of the production, at 2 different scenarios of scaled up production.</p>
Figure 2 in Sex inversion in cultivated mussels Mytilus galloprovincialis Lam. (Crimea, Black Sea) under influence of external environmental factors
Figure 2. Sex inversion in females of the cultivated mussel M. galloprovincialis after a one-month-long laboratory experiment and three-months-long conditioning at the mussel-and-oyster farm, 2016–2017.
CS4 Task 2 – The growth of Gracilaria gracilis on mussel rafts in Saldanha Bay, South Africa
<p>The growth of <em>Gracilaria gracilis</em> grown on mussel rafts, on ropes suspended in the ocean along side ropes stocked with mussel, in Saldanha Bay, South Africa </p>
Develop protocols to manage fouling on blue mussels
<p>Aim: Develop protocols for sea-based fouling treatment on blue mussels (<em>Mytilus edulis</em>) at an industrial scale</p> <p>1) Settlement dynamics of tube worms was evaluated using field monitoring.</p> <p>2) Fouling treatments were evaluated using lab trials (in tanks) for evaluation of effects of heat treatment of fouling organisms on mussels. A range of different temperatures and exposure times were evaluated. The data consists of parameters associated with the treatments (temperature) and survival of mussels, survival of fouling organisms (especially tube worms). Data originates from the Swedish west coast and was collected during 2020-2021.</p>
Data from: Multimodal in situ datalogging quantifies inter-individual variation in thermal experience and persistent origin effects on gaping behavior among intertidal mussels (Mytilus californianus)
Open the record for dataset details and reuse information.
Resource allocation to a structural biomaterial: induced production of byssal threads decreases growth of a marine mussel
Open the record for dataset details and reuse information.
Data from: Shell dissolution rates differ fourfold between mussel species
Open the record for dataset details and reuse information.
Data from: Long-term, high frequency in situ measurements of intertidal mussel bed temperatures using biomimetic sensors
Open the record for dataset details and reuse information.
U.S. freshwater mussel occurrence data
Open the record for dataset details and reuse information.
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.