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35 results for “water fleas”

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edi60/100

North Temperate Lakes LTER Bythotrephes longimanus spiny water flea population monitoring in Wisconsin and Minnesota 2009 - 2014

Three data tables are included describing population dynamics for Bythotrephes longimanus, spiny water flea, in Southern Wisconsin during invasion. General monitor took place in Lake Mendota, Lake Monona, Lake Waubesa, Lake Kegonsa, Stormy Lake, Gile Flowage, Lake Gogebic. Accompanying Bythotrephes morphological measurements from Lake Mendota monitoring efforts in 2011 and 2012. Included are individual measurements of body morphology and reproductive status for ~2,500 Bythotrephes collected from Lake Mendota in 2011 and 2012. Sediment cores from Lake Mendota were analyzed for spiny water flea evidence with age of sediment estimated.

openCC (other)Dec 2022View details →
edi56/100

North Temperate Lakes LTER: Trout Lake Spiny Water Flea 2014 - present

Beginning in 2014, 30 meter vertical tows with a special zooplankton net were collected in Trout Lake specifically for the invasive Bythotrephes longimanus (spiny water flea). The net has a 400 micrometer mesh with a 0.5 meter diameter opening. Individuals are simply counted, and density is determined to be the number of individuals divided by the total water volume of each tow. 

openCC (other)Dec 2022View details →
edi44/100

North Temperate Lakes LTER: Southern Lake Spiny Water Flea 2016 - present

Beginning in 2016, vertical tows with a special zooplankton net were collected in the lakes of the Yahara River specifically for the invasive Bythotrephes longimanus (spiny water flea). The net has a 400 micrometer mesh with a 0.5 meter diameter opening. Individuals are simply counted, and density is determined to be the number of individuals divided by the total water volume of each tow. The depth of the tow, and therefore the tow volume, varies by lake. Additional sampling for spiny water flea occurred 2009 - 2014 as a part of graduate student research (dataset knb-lter-ntl.343). Spiny water flea are also captured occasionally during our standard zooplankton tows of the southern lakes (knb-lter-ntl.90).

openCC (other)Nov 2023View details →
dryad40/100

Data for fitness analyses used in: Environmentally-induced DNA methylation is inherited across generations in water fleas (Daphnia magna)

<p><span>Data of</span> fitness effects of environmental stressors on <em>Daphnia magna</em> over multiple generations. Ages of first and second reproduction, and sizes of first and second brood were measured and used to calculate replacement rate. This data is part of a study on whole-genome bisulphate sequencing on individual <em>Daphnia magna</em> to assess whether environmentally-induced DNA methylation can persist for up to four generations.</p>

opencc-zeroMar 2022View details →
zenodo40/100

Datasets and R source code of manuscript "No evidence for an effect of chronic boat noise on the fitness of reared water fleas"

<p>Datasets and R source code of manuscript&nbsp;&quot;No evidence for an effect of chronic boat noise on the&nbsp;fitness of reared water fleas&quot;</p> <p>Experiments : exposition of Daphnia magna to boatnoise or silence along all their life. Measure of survival and clonal reproduction.</p>

opencc-by-4.0Nov 2022View details →
dryad40/100

Data for fitness analyses used in: Environmentally-induced DNA methylation is inherited across generations in water fleas (Daphnia magna)

Open the record for dataset details and reuse information.

publicMar 2022View details →
dryad36/100

Temperature-dependent interspecific interference alters pygmy backswimmer predation on water fleas

Open the record for dataset details and reuse information.

publicMay 2025View details →
dryad36/100

Data from: Founder effects determine the genetic structure of the water flea Daphnia in Ethiopian reservoirs

Open the record for dataset details and reuse information.

publicSep 2018View details →
dryad32/100

Data from: Urbanization drives genetic differentiation in physiology and structures the evolution of pace-of-life syndromes in the water flea Daphnia magna

Natural and human-induced stressors elicit changes in energy metabolism and stress physiology in populations of a wide array of species. Cities are stressful environments that may lead to differential selection on stress-coping mechanisms. Given that city ponds are exposed to the urban heat island effect and receive polluted run-off, organisms inhabiting these ecosystems might show genetic differentiation for physiological traits enabling them to better cope with higher overall stress levels. A common garden study with 62 Daphnia magna genotypes from replicated urban and rural populations revealed that urban Daphnia have significantly higher concentrations of total body fat, proteins, and sugars. Baseline activity levels of the antioxidant defense enzymes superoxide dismutase (SOD) and glutathione-S-transferase (GST) were higher in rural compared to city populations, yet urban animals were equally well protected against lipid peroxidation. Our results add to the recent evidence of urbanisation-driven changes in stress physiology and energy metabolism in terrestrial organisms. Combining our results with data on urban life history evolution in Daphnia revealed that urban genotypes show a structured pace-of-life syndrome involving both life history and physiological traits, whereas this is absent in rural populations.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Genetic and maternal effects on tail spine and body length in the invasive spiny water flea (Bythotrephes longimanus)

Interest in the evolution of invasive species has grown in recent years, yet few studies have investigated sources of variation in invasive species traits experiencing natural selection. The spiny water flea, Bythotrephes longimanus, is an invasive zooplankton in the Great Lakes that exhibits seasonal changes in tail spine and body length consistent with natural selection. Evolution of Bythotrephes traits, however, depends on the presence and magnitude of quantitative genetic variation, which could change within or across years. Clonal analysis of wild-captured Bythotrephes indicated that variance components for distal spine length were variable among but not within years. Spine length was always heritable but was not always influenced by maternal effects. In contrast, variance components for body length varied both within and among years, but likewise body length was always heritable and not always influenced by maternal effects. Results indicate that important Bythotrephes traits have heritable variation comparable to native species and other invasive species that would enable an evolutionary response to natural selection. This evolutionary capacity could contribute to the widespread success and dramatic effects of Bythotrephes invasion in systems with diverse biotic and abiotic conditions.

opencc-zeroDec 2010View details →
zenodo32/100

Fig 8 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 8. Geological ranges, palaeogeographic distributions, and apparent abundance pattern of Kuqaia. The base and top of Kuqaia stratigraphic ranges from each starred locality were tentatively calibrated based on material from offshore mid-Norway and the northern North Sea. The palaeogeographic map was modified after [38] under the Creative Commons Attribution 4.0 International License.

opennotspecifiedJun 2023View details →
zenodo32/100

Fig 3 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 3. Enlargement of the holotype (NRM X12700) of Kuqaia scanicus sp. nov. Kävlinge BH-928 core depth 40.40– 39.60 m. Scale bars = 100 μm, unless otherwise stated. (a) Well-developed radial ridges at the anterior (SEM image). (b) Weakly defined ridges at the posterior (SEM image). (c) Weak, parallel and transverse ridges on peduncles (SEM image). (d) Complex surface ornament revealed in UV-fluorescence microscopy. (e) Weakly defined ridges on peduncles evident in fluorescence microscopy. https://doi.org/10.1371/journal.pone.0282247.g003

opennotspecifiedJun 2023View details →
zenodo32/100

Fig 2 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 2. Kuqaia scanicus sp.nov. Holotype, NRM X12700; Kävlinge BH-928 core depth 40.40–39.60 m. (a) Scanning electron micrograph of whole specimen at low magnification. (b) Enlargement (SEM image), showing surface ornamentation in central part. https://doi.org/10.1371/journal.pone.0282247.g002

opennotspecifiedJun 2023View details →
zenodo32/100

Fig 1 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 1. Geological map of Skåne (southern Sweden), showing the location of the studied drill core Kävlinge BH-928, modified after [33]. https://doi.org/10.1371/journal.pone.0282247.g001

opennotspecifiedJun 2023View details →
zenodo32/100

Fig 5 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 5. Scanning electron micrographs of Kuqaia species from the Pliensbachian of Skåne. (a)–(e) Kuqaia concentrica Li, 1993; (a) whole specimen (NRM X12701), and (b) enlargement of concentric ridges; Kävlinge BH-928 core depth 57.00–56.50 m; (c) whole specimen (NRM X12702); (d) and (e) enlargement of concentric ridges; Kävlinge BH-928 core depth 46.97–46.01 m. (f) and (g) Kuqaia quadrata Li, 1993; (f) whole specimen in oblique compression (NRM X12703), and (g) enlargement of intersecting concentric and radial ornament; Kävlinge BH-928 core depth 46.97–46.01 m. Scale bars = 100 μm, unless otherwise stated. https://doi.org/10.1371/journal.pone.0282247.g005

opennotspecifiedJun 2023View details →
zenodo32/100

Fig 9 in New species of Kuqaia from the Lower Jurassic of Sweden indicates a possible water flea (Crustacea: Branchiopoda) affinity

Fig 9. Kuqaia scanicus sp. nov. and morphologically similar fossils of Daphnia ephippia. The geological ages, the estimated dates of differentiation of the Daphnia lineage, and the age of the oldest fossil record of Daphnia, are plotted. Scale bars = 100 μm. SEM image of Daphnia similis used with permission from [48]; line drawings of Daphnia pulicaria and 'undefined Chyoridae' compiled by the authors and interpreted from images in [34]. https://doi.org/10.1371/journal.pone.0282247.g009

opennotspecifiedJun 2023View details →
zenodo32/100

FIGURE 5 in Notes on morphology and ecology of an elusive water flea Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi & Korhola, 2000) (Crustacea: Cladocera)

FIGURE 5. Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi et Korhola, 2000) from coastal Sphagnum mosses at Lake Krugloe, Chupa District, Republic of Karelia, Russia, parthenogenetic female. A, antenna. B, limb I. C, IDL and ODL of limb I. D, E, inner and outer portions of limb II. F, exopodite of limb III. G, distal endite of limb III. H, exopodite of limb IV. I, inner portion of limb IV. J,K, inner and outer portions of limb V. L, limb VI. as = accessory seta. ex = exopodite. en = endopodite. ep = epipodite. gfp = gnathobase filter plate. il = inner limb portion. pep = pre-epipodite.

opennotspecifiedOct 2022View details →
zenodo32/100

FIGURE 4 in Notes on morphology and ecology of an elusive water flea Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi & Korhola, 2000) (Crustacea: Cladocera)

FIGURE 4. Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi et Korhola, 2000) from coastal Sphagnum mosses at Lake Krugloe, Chupa District, Republic of Karelia, Russia, parthenogenetic female. A,B, head pores. C–E, postabdomen. F, distal portion of postabdomen. lp = lateral head pore. mp = main head pore.

opennotspecifiedOct 2022View details →
zenodo32/100

FIGURE 1 in Notes on morphology and ecology of an elusive water flea Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi & Korhola, 2000) (Crustacea: Cladocera)

FIGURE 1. Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi et Korhola, 2000) from coastal Sphagnum mosses at Lake Krugloe, Chupa District, Republic of Karelia, Russia. A,B, juvenile females of instars I and II. С–M, parthenogenetic female. C,D, lateral view. E, ventral margin of valves. F, posteroventral angle of valves. G, rostrum. H–J, labrum. K, postabdomen. L, postadominal claw. M, antennule.

opennotspecifiedOct 2022View details →
zenodo32/100

FIGURE 2 in Notes on morphology and ecology of an elusive water flea Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi & Korhola, 2000) (Crustacea: Cladocera)

FIGURE 2. Rhynchotalona latens (Sarmaja-Korjonen, Hakojärvi et Korhola, 2000) from coastal Sphagnum mosses at Lake Krugloe, Chupa District, Republic of Karelia, Russia, parthenogenetic female. A–C, lateral view. D, dorsal view. E,F, dorsolateral view.

opennotspecifiedOct 2022View details →

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Allen Brain Atlas

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

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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

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