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.
428
datasets available to search
ShareScore release 0.7.1
Dataset results
428 results for “zooplankton”
Fig. 5 in Quantifying zooplankton species: use of richness estimators
Fig. 5. Species accumulation curves, uniques and duplicates for the BA2 station of Furnas reservoir, state of Minas Gerais, Brazil from March 2011 to February 2012.
Fig. 3 in Quantifying zooplankton species: use of richness estimators
Fig. 3. Species accumulation curves, uniques and duplicates for the VSJ station in Furnas reservoir, state of Minas Gerais, Brazil, collected with vertical hauls.
Linked collectors and determiners for: Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON).
Natural history specimen data linked to collectors and determiners held within, "Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Zooplankton community composition in Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a WP-2).
Natural history specimen data linked to collectors and determiners held within, "Zooplankton community composition in Svartnes, Balsfjord, Norway in June 2017 and June 2018 (sampled with a WP-2)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba">https://bionomia.net/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba">https://gbif.org/dataset/6ce52028-93fe-43c4-a2cb-62d9adb7d5ba</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Zooplankton Collection (Remaining Bulk Taxonomy Sample).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Zooplankton Collection (Remaining Bulk Taxonomy Sample)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/60526e0c-6ef7-4610-9027-e604d448b959">https://bionomia.net/dataset/60526e0c-6ef7-4610-9027-e604d448b959</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/60526e0c-6ef7-4610-9027-e604d448b959">https://gbif.org/dataset/60526e0c-6ef7-4610-9027-e604d448b959</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Abundance of zooplankton during the polar night (cruise in January 2017) at 13 stations using a 64um-mesh Multinet.
Natural history specimen data linked to collectors and determiners held within, "Abundance of zooplankton during the polar night (cruise in January 2017) at 13 stations using a 64um-mesh Multinet". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/76ef1883-c32a-49bb-a36c-2752af1b4e95">https://bionomia.net/dataset/76ef1883-c32a-49bb-a36c-2752af1b4e95</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/76ef1883-c32a-49bb-a36c-2752af1b4e95">https://gbif.org/dataset/76ef1883-c32a-49bb-a36c-2752af1b4e95</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Zooplankton Collection (Unsorted Bulk Sample).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Zooplankton Collection (Unsorted Bulk Sample)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/aca0fb62-58f7-4d4e-b4a4-2ec485448490">https://bionomia.net/dataset/aca0fb62-58f7-4d4e-b4a4-2ec485448490</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/aca0fb62-58f7-4d4e-b4a4-2ec485448490">https://gbif.org/dataset/aca0fb62-58f7-4d4e-b4a4-2ec485448490</a>. Formatted as a Frictionless Data package.
Fig. 5 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 5. The correlations of cladocerans with phytoplankton genera with high loadings on PC3; i.e. Anabaena, Dictyosphaerium, Melosira and "other cyanobacteria" (see Table 3). Cladoceran counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 4 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 4. The correlations of rotifers with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Rotifer counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 3 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 3. The correlations of cyclopoid copepods with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Cyclopoid counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 2 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 2. The correlations of calanoid copepods with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Calanoid counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 1 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 1. Location of reservoirs within Singapore within which zooplankton and phytoplankton samples were monitored every month between 1992 and 2006. 1. Bedok, 2. Lower Seletar, 3. Upper Seletar, 4. Lower Peirce, 5. Upper Peirce, 6. MacRitchie, 7. Kranji, 8. Pandan, 9. Jurong Lake, 10. Murai, 11. Poyan and 12. Tengeh.
Transgenerational plasticity in a zooplankton in response to elevated temperature and parasitism
<p>Organisms are increasingly facing multiple stressors, which can simultaneously interact to cause unpredictable impacts compared to a single stressor alone. Recent evidence suggests that phenotypic plasticity can allow for rapid responses to altered environments, including biotic and abiotic stressors, both within a generation and across generations (transgenerational plasticity). Parents can potentially 'prime' their offspring to better cope with similar stressors, or, alternatively, might produce offspring that are less fit because of energetic constraints. At present, it remains unclear exactly how biotic and abiotic stressors jointly mediate the responses of transgenerational plasticity, and whether this plasticity is adaptive. Here we test the effects of biotic and abiotic environmental changes on within- and trans-generational plasticity using a <em>Daphnia</em>-<em>Metschnikowia</em> zooplankton-fungal parasite system. By exposing parents and their offspring consecutively to the single and combined effects of elevated temperature and parasite infection, we showed that transgenerational plasticity induced by temperature and parasite stress influenced host fecundity and lifespan; offspring of mothers that were exposed to one of the stressors were better able to tolerate elevated temperature, compared to offspring of mothers that were exposed to neither or both stressors. Yet the negative effects caused by parasite infection were much stronger, and this greater reduction in host fitness was not mitigated by transgenerational plasticity. We also showed that elevated temperature led to a lower average immune response and that the relationship between immune response and lifetime fecundity reversed under elevated temperature: the daughters of exposed mothers showed decreased fecundity with increased hemocyte production at ambient temperature, but the opposite relationship at elevated temperature. Together, our results highlight the need to address questions at the interface of multiple stressors and transgenerational plasticity, and the importance of considering multiple fitness-associated traits when evaluating the adaptive value of transgenerational plasticity under changing environments.</p>
Microbiome, mixotrophic algae, zooplankton, and fish amino acid and phospholipid fatty acid content in terrestrial and plastic carbon treatments
<p>Data includes amino acid (µg AA mg DW<sup>-1</sup>) and phospholipid fatty acid content (µg FA mg DW<sup>-1</sup>) of the microbiome, mixotrophic algae, zooplankton, and fish<em> </em>from the four-trophic level experiment. The experiment included control (no addition), 13.5% <sup>13</sup>C-labelled beech leaves (<em>Fagus sylvatica</em>), 97% <sup>13</sup>C-labelled lignin-hemicellulose extracted from wheat (<em>Triticum aestivum</em>, ~80% lignin, 13% hemicellulose), and 99% <sup>13</sup>C-labelled polystyrene (microplastic). Incubation time in humic lake water was 14 days in the control, leaf, and lignin experiment but 56 days for polystyrene, which after mixotrophic algae (<em>Cryptomonas </em>sp.) was introduced to the bottles. In the next step, herbivorous zooplankton (<em>Daphnia magna</em>) consumed microbes, mixotrophic algae, and particles for five days which after they were used as the diet to zebrafish (<em>Danio rerio</em>) during a five-day experiment.</p>
Data for: Age structure eliminates the impact of coinfection on epidemic dynamics in a freshwater zooplankton system
<p>Parasites often coinfect host populations, and, by interacting within hosts, might change the trajectory of multi-parasite epidemics. However, host-parasite interactions often change with host age, raising the possibility that within-host interactions between parasites might also change, influencing the spread of disease. We measured how heterospecific parasites interacted within zooplankton hosts and how host age changed these interactions. We then parameterized an epidemiological model to explore how age-effects altered the impact of coinfection on epidemic dynamics. In our model, we found that in populations where epidemiologically relevant parameters did not change with age, the presence of a second parasite altered epidemic dynamics. In contrast, when parameters varied with host age (based on our empirical measures), there was no longer a difference in epidemic dynamics between singly and coinfected populations, indicating that variable age structure within a population eliminates the impact of coinfection on epidemic dynamics. Moreover, infection prevalence of both parasites was lower in populations where epidemiologically relevant parameters changed with age. Given that host-population age structure changes over time and space, these results indicate that age-effects are important for understanding epidemiological processes in coinfected systems and that studies focused on a single age group could yield inaccurate insights.</p>
Spatial and temporal zooplankton abundance in a Faroese Fjord
<p>The dataset is a two-year time series of the zooplankton community in a Faroese fjord. Weekly or biweekly sampling from April to September at five stations.</p>
Data and R scrips for "Exposure to closed-loop scrubber washwater alters biodiversity, reproduction, and grazing of marine zooplankton"
<p>Research data and scripts associated with the article "Exposure to closed-loop scrubber washwater alters biodiversity, reproduction, and grazing of marine zooplankton" by Jönander et al.</p>
Data from: The role of fish predators and their foraging traits in shaping zooplankton community structure
Open the record for dataset details and reuse information.
Zooplankton recovery from a whole‐lake disturbance: Examining roles of abiotic factors, biotic interactions, and traits
Open the record for dataset details and reuse information.
Transgenerational plasticity in a zooplankton in response to elevated temperature and parasitism
Open the record for dataset details and reuse information.
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.