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1,549 results for “invertebrate”

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zenodo36/100

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>

opencc-by-4.0Jun 2024View details →
dryad36/100

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>

opencc-zeroJun 2024View details →
zenodo36/100

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.

opencc-by-4.0Jan 2021View details →
zenodo36/100

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.

opencc-by-4.0Dec 2016View details →
zenodo36/100

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.

opencc-by-4.0Dec 2016View details →
zenodo36/100

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.

opencc-by-4.0Dec 2020View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Feb 2023View details →
zenodo36/100

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.

opencc-by-4.0Dec 2023View details →
zenodo36/100

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.

opencc-by-4.0Dec 2023View details →
zenodo36/100

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.

opencc-by-4.0Dec 2023View details →
zenodo36/100

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).

opencc-by-4.0Dec 2023View details →
zenodo36/100

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.

opencc-by-4.0Dec 2023View details →
zenodo36/100

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.

opencc-by-4.0Dec 2023View details →
zenodo36/100

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>

opencc-by-4.0Apr 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record