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1,549 results for “invertebrate”
Molecular markers for taxonomic validation of 7 deep water invertebrate animals
<p>File 1: MolecularBarcodeSeqs_forValidation.fasta</p> <p>Molecular markers extracted from transcriptome assemblies for validation of animal taxonomic identification.</p> <p>Files 2-4: 2022-03-29-01_JAB_FALKOR_RNA_1, 2022-03-29-01_JAB_FALKOR_RNA_2, 2022-03-29-01_JAB_FALKOR_RNA_2.</p> <p>TapeStation data for total RNA quality assessment. Identifiers in the Sample Description column are linked to identifiers in the published table, <span>Table 2. RNA and sequence statistics for each specimen, from the manuscript: </span><em><span>Transcriptome sequencing of seven deep marine invertebrates</span></em></p>
Using eDNA for monitoring fish and invertebrate biodiversity in freshwater ecosystems
<p>Global biodiversity is facing an extinction crisis leading to increasing pressure on industries to monitor their potential environmental impact. Relatedly, there is demand for more efficient biodiversity monitoring methods, resulting in growing interest in the use of environmental DNA (eDNA). Many questions, however, regarding the reliability of this relatively novel method remain, particularly for non-specialist end-users of the technology.</p> <p>Here, the use of commercially available (in the UK) eDNA assays for monitoring freshwater fish and invertebrate biodiversity was compared to conventional surveillance techniques. Samples were collected from different habitats, on varying spatial scales and using multiple sampling regimes to assess how eDNA results were affected.</p> <p>For aquatic macroinvertebrates and fish, more taxa were detected by eDNA than conventional surveys conducted in parallel, and for fish, all taxa detected by conventional monitoring were confirmed by eDNA.</p> <p>For aquatic macroinvertebrates, several species were only detected through conventional methods, and the number of families detected by eDNA was lower than for conventional monitoring at all sites.</p> <p>eDNA results varied significantly between sampling locations within lentic sites and, for lotic sites, with the number of subsamples collected.</p> <p>In terms of practical implications, this study demonstrates the need for bespoke sampling protocols when collecting eDNA samples. This study improves understanding of using eDNA for detecting aquatic taxa that could inform species surveillance protocols. These are essential if eDNA is to be used by practitioners as a regulatory monitoring tool.</p>
Fig. 4 in Palaeoecology of tropical marine invertebrate assemblages from the Late Triassic of Misurina, Dolomites, Italy
Fig. 4. Rank-abundance distributions of the bulk samples from Misurina Landslide and Lago Antorno.
Fig. 2 in Data On Protected And Insufficiently Known Insect Species Obtained From The Invertebrate Monitoring In Latvia (2015 - 2016)
Fig. 2. The spatial arrangement scheme of the monitoring activities in one of the squares.
Fig. 1 in Data On Protected And Insufficiently Known Insect Species Obtained From The Invertebrate Monitoring In Latvia (2015 - 2016)
Fig. 1. The layout of invertebrate monitoring sites in Latvia.
FIGURE 3 in Anthropologically introduced biases in natural history collections, with a case study on the invertebrate paleontology collections from the middle Cambrian Spence Shale Lagerstätte
FIGURE 3. Percentage of taxonomic groups in the KUMIP Spence Shale collection by specimen counts.
Fig. 35. Loxoconcha uranouchiensis Ishizaki, 1968 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 35. Loxoconcha uranouchiensis Ishizaki, 1968. Left valve.
Fig. 7 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 7. Paranais litoralis (Müller, 1784). Scale bar = 200 μm.
Fig. 10. Specaria josinae. A in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 10. Specaria josinae. A. dorsal chaetae; B. ventral chaeta. Scale bars = 40μm.
Fig. 9 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 9. Pristina (Pristinella) sima (Marcus, 1944). Living state. Scale bar = 200 μm.
Fig. 19 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 19. Lecane unguitata (Fadeev, 1925). Scale bar = 50 μm.
Fig. 12 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 12. Anterior end of Laonice japonica (Moore, 1907). Scale bar = 0.5 mm.
Fig. 38. Leguminocythereis tomokoae Ishizaki, 1968. A in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 38. Leguminocythereis tomokoae Ishizaki, 1968. A. left valve; B. A1 and A2; C. Md.
Fig. 4 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 4. Crithe huna (Kay, 1979). Scale bar = 2 mm.
Fig. 1 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 1. Stenostomum leucops (Dugès, 1828). A. Dorsal view; B. Lateral view. Scale bars = 100 μm.
Fig. 22 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 22. SEM image of Loxoconcha viva Ishizaki, 1968. Scale bar = 150 μm.
Fig. 17 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 17. Photomicrograph of Nihonotrypaea petalura (Stimpson, 1860).
Fig. 16 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 16. Platorchestia platensis (Krøyer, 1845), male (lateral view). Scale bar = 2 mm.
Fig. 7 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 7. Photomicrograph of Aeolosoma headleyi Beddard, 1888. Scale bar = 500 μm.
The impact of invertebrates and fungi on litter decomposition rate in modified forests
<b>Description: </b><p>Litter decomposition experiment</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/79"><b>The impact of invertebrates and fungi on litter decomposition rate in modified forests</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=68">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Litter decomposition experiment</b> (Worksheet Data)</p><p>Dimensions: 418 rows by 14 columns</p><p>Description: Results from leaf litter decomposition experiment</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample point (Field type: Location)</li><li><b>Dateset</b>: Day litter bag was placed in field (Field type: Date)</li><li><b>Bagno.</b>: Code relating to numbers on litter bags (Field type: ID)</li><li><b>Treatment</b>: Experimental treatment applied to litter bag (Field type: Categorical)</li><li><b>Cline</b>: NA (Field type: Numeric)</li><li><b>Litterdepth</b>: Depth of leaf litter adjacent to litter bag (Field type: Numeric)</li><li><b>pH</b>: Soil pH (Field type: Numeric)</li><li><b>Meanhandlingloss</b>: Average weight of litter lost from litter bag during transport to/from field (Field type: Numeric)</li><li><b>Travelbagweight</b>: Estimated weight of litter bag placed in field (Field type: Numeric)</li><li><b>Datecollected</b>: Date litter bag was collected from field (Field type: Date)</li><li><b>Daysleftinfield</b>: Number of days litter bag was left in the field (Field type: Numeric)</li><li><b>Dryweightaftercollection</b>: Dry weight of litter after collection from the field (Field type: Numeric)</li><li><b>Notes</b>: Field observations affecting results (Field type: Comments)</li></ul><br></li></ol><p><b>Date range: </b>2012-05-27 to 2012-07-16</p><p><b>Latitudinal extent: </b>4.6353 to 4.7520</p><p><b>Longitudinal extent: </b>116.9635 to 117.5855</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.