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62 results for “aquatic invertebrates”
Supplementary data: The added value of Bayesian inference for estimating biotransformation rates of organic contaminants in aquatic invertebrates.
<p>Supporting information for the article "<strong>The added value of Bayesian inference for estimating biotransformation rates of organic contaminants in aquatic invertebrates.</strong>"</p> <p>This provides all the R script and .csv files for each dataset. </p>
Decomissioned Site: Arthur Brook's (D01 ARTH) Legacy and Prototype Aquatic invertebrates (repackaging of occurrences published by the NEON Biorepository Data Portal)
This collection contains legacy and prototype NEON aquatic invertebrates from the decommissioned Arthur Brook's site in Worcester County, Massachusets. These samples and specimens were collected using NEON protocol NEON.DP1.20120 and are summarized in NEON Prototype dataset e7d152a1-1181-4c7e-ac75-ae707ffc7299. This data is available here.
Decomissioned Site: Ichawanochaway Creek (D03 ICHA) Legacy and Prototype Aquatic invertebrates (repackaging of occurrences published by the NEON Biorepository Data Portal)
This collection contains legacy and prototype NEON aquatic invertebrates from the decommissioned Ichawanochaway Creek site in Baker County, Georgia. These samples and specimens were collected using NEON protocol NEON.DP1.20120 and are summarized in NEON Prototype dataset 1599af29-fad4-4721-9b09-f8324b672d50. This data is available here.
Ecology and Evolutionary Biology Field Trip at the Coweeta Hydrologic Laboratory (Watershed 18) in 2004: Aquatic Invertebrates (Adult) data
As part of an educational project, we intend to conduct a short "bioblitz" that will focus on 4 major groups of organisms: (1) vertebrates, especially birds and salamanders; (2) the local flora, especially fungi, trees, and any herbaceous species present this early; (3) aquatic invertebrates; (4) terrestrial invertebrates. Data will be compared to available lists of taxa from Coweeta and Great Smoky Mountains National Park.
Figure 3 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 3. Seasonal variation of total taxa richness (A), mean density (A), and relative contribution of biomass (B) of most abundant groups of aquatic invertebrates at three ponds in a Patagonian wetland (Mallín Crespo) during the study period (May 2008 to April 2009). Livestock stocking period is indicated by the black bar.
Figure 2 in Identification of New World aquatic invertebrate illustrations in The Drake Manuscript
Figure 2. Illustration of (A) a lobster in The Drake Manuscript, © The Morgan Library & Museum, New York; (B) corresponding contemporary image of the species proposed to be the subject of the anonymous artist's illustrations. The lobster species is Panulirus argus (Latreille 1804) Caribbean spiny lobster. Image of P. argus © Florent Charpin. Reproduced by permission of Florent Charpin (www.reefguide.org). Permission to reuse must be obtained from the rightsholder.
Plecoptera of the Daniel L. Gustafson Aquatic Invertebrate Collection, Montana Entomology Collection, Montana State University
<p>The adults and nymphs of Plecoptera, an order of aquatic insects commonly named stoneflies, are emulated in fly fishing patterns and the nymphs are used in water quality assessments. They are encountered in the flowing freshwaters of Montana and the state has relatively high species richness for this group. From 2018 to 2022, Montana Entomology Collection (MTEC), funded by the Council on Library and Information Resources “Hidden Collections” grant, digitized stonefly (Insecta: Plecoptera) specimens housed in its museum. This produced over 2000 records detailing sampling localities, collecting dates, number of individuals, and identifications of stoneflies collected mainly from Montana, USA. The records reveal the efforts of 40 collectors, spanning 60 years of sampling. This dataset makes information associated with 22,600 individual specimens from over 90 species stored in the MTEC available.</p>
Ephemeroptera of the Daniel L. Gustafson Aquatic Invertebrate Collection, Montana Entomology Collection, Montana State University
<p>Ephemeroptera (commonly called mayflies) is an order of insects well-recognized by fishing enthusiasts and regularly used in water quality assessments. From 2018 to 2022, Montana Entomology Collection (MTEC), funded by the Council on Library and Information Resources “Hidden Collections” grant, digitized mayfly specimens housed in its museum. Digitization of label data produced over 2900 records detailing sampling localities, collecting dates, number of individuals, and identifications of mayflies collected mainly from Montana, USA. The records reveal the efforts of 29 collectors, contributing specimens since the 1970s. The digital records make information associated with 37,000 individual specimens from approximately 100 species stored in the MTEC available.</p>
Spreadsheet Template for Habitat Data for Aquatic Invertebrates
<p>Spreadsheet template for <a href="https://doi.org/10.5281/zenodo.13320933">Habitat data for aquatic invertebrates</a></p>
Habitat data for aquatic invertebrates
<p>Habitat data for aquatic invertebrates from the following sources:</p> <p>Corbet, P.S., Suhling, F., Soendgerath, D., 2006. Voltinism of Odonata: a review. International Journal of Odonatology 9, 1–44. <a href="https://doi.org/10.1080/13887890.2006.9748261">https://doi.org/10.1080/13887890.2006.9748261 </a></p> <p>Houghton DC. 2012. Biological diversity of the Minnesota caddisflies (Insecta, Trichoptera). Zookeys 189:1-389. <a href="https://doi.org/10.3897/zookeys.189.2043">https://doi.org/10.3897/zookeys.189.2043 </a></p> <p>Vieira, N. K., Poff, N. L., Carlisle, D. M., Moulton, S. R., Koski, M. L., & Kondratieff, B. C. (2006). A database of lotic invertebrate traits for North America. US Geological Survey Data Series, 187, 1-15. <a href="https://pubs.usgs.gov/ds/ds187/">https://pubs.usgs.gov/ds/ds187/</a></p>
Fig. 5 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 5. RDA tri-plot illustrating the similarities between the various sites (and surveys) and the physicochemical variables. The tri-plot describes 45.3 % of the variation, with 22.3 % being described on the first axis and 23 % on the second axis. Only the taxa of which more than 10 % is explained by the model and the 15 most significant environmental variables are visualised.
Fig. 2 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 2. MDS ordination of the invertebrate communities (diversity) of the selected pans with similarities based on agglomerative cluster analysis overlain. Numbers 1–9 represent the different pans, while repeated numbers represent the various sampling occasions.
Fig. 4 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 4. Mean and standard deviation of the Shannon diversity index, Simpson's index, Margalef's species richness index, and Pielou's evenness index for each of the pans. The mean was obtained from the results of the various sampling surveys and as a result, the standard deviation indicates seasonal variation.
Fig. 1 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 1. Location of the various pans included in the study. Pans 1, 2 and 8 are influenced by mining activities, pan 3 by agricultural activities, and pans 4–7 and 9 are located in an area with few anthropogenic activities.
Fig. 3 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 3. MDS ordination of the community traits of the selected pans with similarities based on agglomerative cluster analysis overlain. Numbers 1–9 represent the different pans, while repeated numbers represent the various sampling occasions.
Data from: Development and validation of targeted environmental DNA (eDNA) metabarcoding for early detection of 69 invasive fishes and aquatic invertebrates
<p>Invasive species are of concern due to their impacts on ecosystems and economies, but they pose significant control challenges. Environmental DNA (eDNA) is a powerful tool in the detection of aquatic organisms at low densities due to high sensitivity and ease of collection. Aquatic eDNA analyses have increased worldwide and are generally either applied to a few target species (quantitative PCR) or for broad taxonomic applications (metabarcoding). Here we describe the development and testing of a hybrid approach that utilized high sensitivity PCR primer sets and high-throughput sequencing (HTS), referred to as <em>targeted metabarcoding</em>, to detect 69 fishes and invertebrates. We identified target species based on reports of globally important invasive species and developed two independent PCR primers for each species (CO1 and a second mtDNA region). We assessed sensitivity and eDNA interference for all 138 primers (2 per species, 69 species) using standard end-point PCR and tested them on 10 eDNA samples spiked with various amounts of one or more of the target species' DNA. The sensitivity of the 138 primer sets ranged between 1.5×10<sup>-5</sup> and 2.64 ng template DNA (mean = 0.069 ng). Primers were also tested for interference effects using plankton eDNA to simulate field conditions. The inclusion of interfering plankton DNA reduced the sensitivity for most primer sets by one or more orders of magnitude (range 0 to 3). Overall, our targeted metabarcoding resulted in the detection of ~ 98% of species in the DNA spiked samples, and, perhaps more importantly, the HTS read count was positively related to the quantity of spiked DNA (P < 0.002). We envision this technique being particularly useful for the early detection of species at low population densities; however, there are diverse applications of targeted metabarcoding for monitoring aquatic community composition and quantifying ecosystem change and health.</p>
Distance matrices of an aquatic invertebrate dataset on the Rhône river basin
<p>Environmental distance matrices, community dissimilarity matrices and spatial distances computed on an aquatic invertebrate dataset. More information in the metadata file.</p>
Trait Spreadsheet to DwCA: Habitat data for aquatic invertebrates
<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Created: 2023-06-29 11:54
Trait Spreadsheet to DwCA: Habitat data for aquatic invertebrates
<p></p>https://eol-jira.bibalex.org/browse/DATA-1882<p></p>Updated: 2023-06-29 11:40
Living on the edge: Predicting invertebrate richness and rarity in disturbance-prone aquatic–terrestrial ecosystems
<p>1. Temporal fluctuations in water levels cause the spatial extent of wet and dry habitats to vary in aquatic–terrestrial riverine ecosystems, complicating their biomonitoring. As such, biomonitoring efforts may fail to characterise the species that inhabit such habitats, hampering assessments of their biodiversity and implementation of evidence-informed management strategies.</p> <p>2. Relationships between the dynamic characteristics of aquatic-terrestrial habitats and their communities are well known. Thus, habitat characteristics may enable estimation of faunal assemblage characteristics such as taxonomic richness, regardless of in-channel conditions.</p> <p>3. We investigated whether indicators summarising habitat survey data can predict two metrics representing terrestrial invertebrate assemblages (e.g. taxa richness) in two aquatic–terrestrial habitats: exposed riverine sediments and dry temporary streams. We also compared the performance of unimetric and multimetric habitat indicators in making predictions.</p> <p>4. In exposed riverine sediments, >88% of predictions were correlated with observed taxa richness and an index of conservation status. Values predicted by exposed riverine sediment samples were correlated with those observed in temporary stream channels with comparable riparian (i.e. largely agricultural) land use, but not those observed in channels with contrasting (i.e. more urban) land use.</p> <p>5. Unimetric habitat indicators performed similarly to more complex multimetric indicators, with each explaining ≤6% of the variability in taxa richness and the index of conservation status. The different spatial scales at which invertebrates respond to habitat conditions and at which indicators record habitat conditions, and a more comprehensive training dataset that incorporates a full range of habitat conditions (i.e. land use), may improve future predictions.</p> <p>6. We demonstrate that invertebrate assemblage characteristics can be predicted regardless of in-channel conditions. Agreement between exposed riverine sediment predictions and temporary stream observations suggests that these predictions are transferable among a range of aquatic–terrestrial habitat types, and could thus be widely applied to aid conservation of riverine biodiversity in dynamic aquatic–terrestrial ecosystems.</p>
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.