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.
61
datasets available to search
ShareScore release 0.9.0
Dataset results
61 results for “filter feeding”
Figs. 95–111. Macrostemum fenestratum. 95–101 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 95–111. Macrostemum fenestratum. 95–101, right forewing variants; Male genitalia: 102, lateral; 103–104, segment X variants dorsal; 105, phallus lateral; 106, phallus tip. Macrostemum floridum. 107, right forewing; Male genitalia: 108, lateral; 109, segment X dorsal; 110, phallus lateral; 111, phallus tip. Scale: 95–101, 107 = 2 mm; 102–106, 108–111 = 0.02 mm.
Figs. 70–84. Macrostemum dione. 70 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 70–84. Macrostemum dione. 70, right forewing; Male genitalia: 71, lateral; 72, segment X dorsal; 73, phallus lateral; 74, phallus tip. Macrostemum distinguendum. 75, right fore- and hind wing; Male genitalia: 76, lateral; 77, segment X dorsal; 78, phallus lateral; 79, phallus tip. Macrostemum dohrni. 80, right forewing; Male genitalia: 81, lateral; 82, segment X dorsal; 83, phallus lateral; 84, phallus tip. Scale: 70, 75, 80 = 2 mm; 71–74, 76–79, 81–84 = 0.02 mm.
Figs. 85–94. Macrostemum eleanora. 85 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 85–94. Macrostemum eleanora. 85, right forewing; Male genitalia: 86, lateral; 87, segment X dorsal; 88, phallus lateral; 89, phallus tip. Macrostemum fastosum. 90, right fore- and hind wing; Male genitalia: 91, lateral; 92, segment X dorsal; 93, phallus lateral; 94, phallus tip. Scale: 85, 90 = 2 mm; 86–89, 91–94 = 0.02 mm.
Figs. 17–36. Amphipsyche gratiosa. 17 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 17–36. Amphipsyche gratiosa. 17, right forewing; Male genitalia: 18, lateral; 19, segment X dorsal; 20, phallus lateral; 21, phallus tip. Amphipsyche magna. Male genitalia: 22, lateral; 24, phallus lateral; 25, phallus tip; 23, thorax. Amphipsyche meridiana. 26, right forewing; Male genitalia: 27, lateral; 28, segment X dorsal; 29, phallus lateral; 30, phallus tip. Amphipsyche parva. Male genitalia: 31, lateral; 32, phallus lateral; 33, phallus tip. Amphipsyche petiolata. 34, lateral; 35, phallus lateral; 36, phallus tip. Scale: 17, 26 = 2 mm, 18–25, 27–36 = 0.25 mm (22–25, 27–36 redrawn from Barnard, 1984).
Figs. 59–69. Macrostemum caliptera. 59, right forewing. Macrostemum centrotum. 60 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 59–69. Macrostemum caliptera. 59, right forewing. Macrostemum centrotum. 60, right forewing; Male genitalia: 61, lateral; 62, segment X dorsal; 63, phallus lateral; 64, phallus tip. Macrostemum dairiana. 65, right forewing; Male genitalia: 66, lateral; 67, segment X dorsal; 68, phallus lateral; 69, phallus tip. Scale: 59, 60, 65 = 2 mm; 61–64, 66–69 = 0.02 mm (59 redrawn from Banks, 1931c).
Figs. 8–16. Amphipsyche bifasciata. 8 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 8–16. Amphipsyche bifasciata. 8, right forewing; Male genitalia: 9, lateral; 10, phallus lateral; 11, phallus tip. Amphipsyche exsiliens. 12, right fore- and hind wing; Male genitalia: 13, lateral; 14, segment X dorsal; 15, phallus lateral; 16, phallus tip. Scale: 8, 12 = 2 mm; 9–11, 13–16 = 0.25 mm (8–16 redrawn from Barnard, 1984).
Figs. 37–41. Macrostemum albardanum. 37 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 37–41. Macrostemum albardanum. 37, right forewing; Male genitalia: 38, lateral; 39, segment X dorsal; 40, phallus lateral; 41, phallus tip. Scale: 37 = 2 mm; 38–41 = 0.02 mm.
Figs. 1–7. Aethaloptera sexpunctata. 1 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 1–7. Aethaloptera sexpunctata. 1, forewing; 2, hind wing; Male genitalia: 3, lateral; 4, segment X dorsal; 5, phallus lateral; 6, phallus tip; 7, Head dorsal. Scale bars: 1–2 = 2 mm, 3–6 = 0.25 mm, 7 = 1 mm.
Figs. 42–58. Macrostemum bacham. 42 in Review of the filter-feeding caddisfly subfamily Macronematinae (Trichoptera: Hydropsychidae) in tropical Southeast Asia
Figs. 42–58. Macrostemum bacham. 42, right forewing; Male genitalia: 43, lateral; 44, segment X dorsal; 45, phallus lateral; 46, phallus tip. Macrostemum bellerophon. 47, right forewing; Male genitalia: 48, lateral; 49, segment X dorsal; 50, phallus lateral; 51, phallus tip. Macrostemum bellum. 52, right forewing. Macrostemum bifenestratum. 53, right forewing. Macrostemum boettcheri. 54, right forewing; Male genitalia: 55, lateral; 56, segment X dorsal; 57, phallus lateral; 58, phallus tip. Scale: 42, 47, 52–53 = 2 mm; 43–46, 48–51, 55–58 = 0.02 mm (43–46 redrawn from Malicky, 2010; 52 redrawn from Banks, 1916; 56 redrawn from Navás, 1929).
Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle"
<p>Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle". </p> <p>Clerc, C., Bopp, L., Benedetti, F., Vogt, M., and Aumont, O.: Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1282, 2022.</p> <p>Three directories can be downloaded:</p> <p><strong>DataOBS</strong> : AtlantECO [WP2] – Traditional microscopy dataset – Thaliacea (Salpida+Doliolida+Pyromosomatida) abundance and biomass concentration data, presented in Clerc et al. (2022). </p> <p><strong>FigPaper </strong>: Source code and .nc files for the figures presented in Clerc et al. (2022) (https://doi.org/10.5194/egusphere-2022-1282). </p> <p><strong>MY_SRC_PISCES_NEMO_3.6 :</strong> Additional fortran routines for the compilation of PISCES-FFGM, the model developed for Clerc et al. (2022), from NEMO-3.6 (https://www.nemo-ocean.eu)</p>
Data set for 'Lunge filter feeding biomechanics constrain rorqual foraging ecology across scale'...
<p>Fundamental scaling relationships influence the physiology of vital rates, which in turn shape the ecology and evolution of organisms. For diving mammals, benefits conferred by large body size include reduced transport costs and enhanced breath-holding capacity, thereby increasing overall foraging efficiency. Rorqual whales feed by engulfing a large mass of prey-laden water at high speed and filter it through baleen plates. However, as engulfment capacity increases with body length across species (Engulfment Volume ∝ Body Length <sup>3.57</sup>), the surface area of the baleen filter does not increase proportionally (Baleen Area ∝ Body Length<sup>1.82</sup>), and thus the filtration time of larger rorquals predictably increases because the baleen surface area must filter a disproportionally large amount of water. We predicted that filtration time should scale with body length to the power of 1.75 (Filter Time ∝ Body Length<sup>1.75</sup><i>)</i>. We tested this hypothesis on four rorqual species using multi-sensor tags with corresponding unoccupied aerial systems (UAS) -based body length estimates. We found that filter time scales with body length to the power of 1.79 (95% CI: 1.61 - 1.97). This result highlights a scale-dependent trade-off between engulfment capacity and baleen area that creates a biomechanical constraint to foraging through increased filtration time. Consequently, larger whales must target high density prey patches commensurate to the gulp size to meet their increased energetic demands. If these optimal patches are absent, larger rorquals may experience reduced foraging efficiency compared to smaller whales if they do not match engulfment capacity to the size of targeted prey aggregations.</p>
Supplementary material for "Filter-feeding gelatinous macrozooplankton response to climate change and implications for benthic food supply and global carbon cycle"
<p>Simulation Outputs Description<br> ---------------------------</p> <p>This text file outlines the contents of the simulation outputs utilized in the analysis presented in Clerc et al. (2023). Pre-treated outputs are not provided for storage reasons, but the complete output can be made available upon request. Spatial files are regridded to a 1-degree resolution regular grid using the treatment: cdo remapdis,r360x180 in.nc out.nc.</p> <p>Folder Names:<br> --------------</p> <p>Here is a brief overview of the content within each folder.</p> <p>- TS_PICONTROL: Globally averaged time series for the PI-control runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_RCP85: Globally averaged time series for the RCP8.5 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_RCP26: Globally averaged time series for the RCP2.6 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- EXPORT_LAYERS_PICONTROL: Time-averaged Pi-control flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- EXPORT_LAYERS_RCP85: Time-averaged RCP8.5 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- EXPORT_LAYERS_RCP26: Time-averaged RCP2.6 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- SURFACE_LAYERS_RCP85: Vertically integrated (0-300m) time-averaged RCP8.5 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- SURFACE_LAYERS_RCP26: Vertically integrated (0-300m) time-averaged RCP2.6 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- SURFACE_LAYERS_PICONTROL: Vertically integrated (0-300m) time-averaged PiControl outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- CHLOROPHYLL: Surface chlorophyll on a 360x180 degree grid, time-averaged over the indicated period. (Units: mg Chl/m3.)</p> <p>- TS_BIOME: Biome-specific averaged time series spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_CFLX: Globally averaged carbon uptake time series spanning 1850-2100. (Units: PgC/yr.)</p> <p>- BIOMES: Biome masks on a regular 360x180 grid.</p> <p>Filename Conventions:<br> -----------------------</p> <p>Please refer to the following conventions for filenames.</p> <p>MODEL:<br> - PISCES-FFGM: SLP<br> - PISCES-v2: STD<br> - PISCES-GM: MAC</p> <p>FORCING:<br> - Pi-control: PI<br> - Climate-change scenario: AD</p> <p>PERIOD:<br> - 1881-1900: PRI<br> - 1995-2014: HIS<br> - 2081-2100: FUT</p> <p>DEPTH:<br> - 0-300 m: dmin0_dmax300<br> - 100 m: ilevel9<br> - 1000 m: ilevel21<br> - Seafloor: seafloor</p> <p>BIOMES:<br> - High Chlorophyll: HC<br> - Intermediate Chlorophyll: IC<br> - Low Chlorophyll: LC<br> - Southern Ocean: SO<br> - Arctic Ocean: LCA</p> <p>NetCDF Variables:<br> ------------------</p> <p>- SALP: Filter-feeding gelatinous Macrozooplankton (FFGM)<br> - ZOO3: Generic Macrozooplankton (GM)<br> - ZOO2: Mesozooplankton<br> - ZOO: Microzooplankton<br> - PHY: Nanophytoplankton<br> - PHY2: Diatoms<br> - POC: Small particles (quantity or flux)<br> - GOC: Large particles (quantity or flux)<br> - SPCC: FFGM carcasses carbon (content or flux)<br> - SPFC: FFGM fecal pellets carbon (content or flux)<br> - MPCC: GM carcasses carbon (content or flux)<br> - MPFC: GM fecal pellets carbon (content or flux)<br> - CHL: Chlorophyll<br> - Cflx: Carbon uptake<br> - NO3: Nitrate<br> - PO4: Phosphate<br> - O2: Oxygen</p> <p>For any inquiries or data access requests, please contact corentin.clerc -at- usys.ethz.ch.</p>
Filter feeding in devil rays is highly sensitive to morphology
Open the record for dataset details and reuse information.
Data set for 'Lunge filter feeding biomechanics constrain rorqual foraging ecology across scale'...
Open the record for dataset details and reuse information.
Figure 5 in Neurovascular evidence for a co-occurrence of teeth and baleen in an Oligocene mysticete and the transition to filter-feeding in baleen whales
Figure 5. Digital segmentations (top) and graphical reconstructions of rostral canals in select cetaceans (bottom). A, extant toothed odontocete Tursiops truncatus (SDSNH 21212). B, extinct toothed mysticete Aetiocetus weltoni (UCMP 122900). C, extant toothless mysticete Eschrichtius robustus (modified from: Ekdale et al., 2015).
Figure 4 in Neurovascular evidence for a co-occurrence of teeth and baleen in an Oligocene mysticete and the transition to filter-feeding in baleen whales
Figure 4. CT-scan data of Aetiocetus weltoni (UCMP 122900). Slice A–A' taken oblique to the horizontal plane through the skull as indicated on the surface medial in lateral view to image course of infraorbital canal. Slices B–B', C–C' and D–D' taken along the transverse plane (original scan axis) at different positions along the rostrum as indicated on the surface model in dorsal view.
Figure 1 in Neurovascular evidence for a co-occurrence of teeth and baleen in an Oligocene mysticete and the transition to filter-feeding in baleen whales
Figure 1. Hypothesis of baleen evolution. Relationships based on published phylogenetic analyses (Uhen, 2013; Fordyce & Marx, 2018; Peredo et al., 2018). Thick bars represent stratigraphic ranges downloaded from the Paleobiology Database (paleobiodb.org) on 14 February 2020, using the taxonomic name search form for each terminal taxon named on the cladogram. Red branches indicate presence of lateral palatal foramina.
Figure 3 in Neurovascular evidence for a co-occurrence of teeth and baleen in an Oligocene mysticete and the transition to filter-feeding in baleen whales
Figure 3. Digital segmentation of neurovascular canals through rostrum of Aetiocetus weltoni (UCMP 122900). A, rostral canals in ventral view. B, rostral canals in lateral view. Abbreviations: dc, dental/alveolar canal; lpc, lateral palatal canal.
Figure 2 in Neurovascular evidence for a co-occurrence of teeth and baleen in an Oligocene mysticete and the transition to filter-feeding in baleen whales
Figure 2. Neurovascular canals through rostrum of Aetiocetus weltoni (UCMP 122900). A, ventral view of 3D rendering of skull (top), skull rendered semi-transparent to reveal internal canals of rostrum (middle), and digital segmentation of rostral canals (bottom). B, lateral view of 3D rendering of skull (top), skull rendered semi-transparent to reveal internal canals of rostrum (middle), and digital segmentation of rostral canals (bottom).
Data from: Wide gape in the Ordovician brachiopod Rafinesquina explains how unattached filter-feeding strophomenoids thrived on muddy substrates
<p>Strophomenoid brachiopods had thin, concavo-convex shells, were ubiquitous colonisers of Paleozoic muddy seafloors, and are hypothesised to have filter-fed in a concave upward orientation. This orientation would elevate their line of commissure out of potentially lethal lophophore-clogging mud. The paradox is that epibiont distributions on strophomenoids support a convex-upward life position, as do studies of strophomenoid stability and trace fossils formed by strophomenoid sediment-clearing. A premise of the concave-upward orientation hypothesis is a narrow gape, which causes narrow, high velocity inhalant currents, leaving strophomenoids vulnerable to sediment entrainment. Herein we investigate the gape angle of Rafinesquina using serial thin sections and peels, silicified specimens, computer modelling, SEM analysis, X-ray microCT, and 3-D printing. Hinge line structure suggests that, conservatively, Rafinesquina could gape 40–45°. Such a gape occurred when diductor muscle contraction could not cause any further rotation, hinge teeth and crenulations were disengaged, and interareas interlocked. In contrast, when closed, hinge teeth were locked in hinge sockets. This wide gape eliminates constraints on feeding orientation. In either convex-up or concave-up orientation, Rafinesquina could feed with slow, diffuse inhalant currents incapable of disturbing sediment, and could snap valves shut to forcefully expel enough water to clear sediment from the mantle cavity, explaining moat-shaped trace fossils associated with shells. Our findings demonstrate that Rafinesquina gaped at an angle approximately equal to the angle between the two interareas when the valves are closed. Our analyses also hint that other strophomenoids with similar interarea angles lived with their shells widely agape.</p>
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.