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”
Testing sunfish as zooplankton control agents for wastewater-algal cultivation: Nutrient, invertebrate, and algae data
<p>Wastewater-algal cultivation is a promising means of recovering polluting nutrients and converting them into useful algal biomass. However, open raceway ponds used for wastewater-algal cultivation are prone to contamination by zooplankton, which often severely reduces algal yields. We conducted an experiment to test the potential for bluegill sunfish to improve yields by suppressing zooplankton. We used cages to protect the fish from the paddlewheels in 230-L raceway ponds. In nine raceways, the cage surrounded the paddlewheel and fish, if present, had access to the remaining tank area. In another nine raceways, the cage was on the opposite side from the paddlewheel, and contained the fish when present. Six fishless controls were implemented across both cage placements. We filled the raceways with synthetic wastewater and local plankton, and one juvenile bluefill sunfish (aside from controls). After 19 days we sampled dissolved nutrients, algae, and invertebrates in each raceway. This dataset consists of four csv files containing data from laboratory analyses of these samples. The data include dissolved nutrients, algal dry weights, zooplankton and benthic invertebrate counts, algal biovolumes, and algal nutrient content for each of the 18 raceway ponds.</p>
Data for "Identifying and quantifying unexpected deep zooplankton diel vertical migration in a large deep lake (Lake Geneva)"
<p>The repository contains the data for the paper "Identifying and quantifying unexpected deep zooplankton diel vertical migration in a large deep lake (Lake Geneva)", submitted to Limnology & Oceanography. </p>
Figure 3 in Autumn community structure in the shallow mixed layer of the subtropical South China Sea reveals a peculiar copepod and zooplankton assemblage
Figure 3. Vertical variation of temperature (A), salinity (B) and chlorophyll a (C) of the six sampling stations.
Figure 6 in Autumn community structure in the shallow mixed layer of the subtropical South China Sea reveals a peculiar copepod and zooplankton assemblage
Figure 6. Clustering dendrogram of different samples using Bray–Curtis similarity and clustering strategy of flexible links in the northern South China Sea.
Figure 2 in Autumn community structure in the shallow mixed layer of the subtropical South China Sea reveals a peculiar copepod and zooplankton assemblage
Figure 2. Monthly averaged information derived from NOAA for sea surface temperature of September 1999.
Figure 1 in Autumn community structure in the shallow mixed layer of the subtropical South China Sea reveals a peculiar copepod and zooplankton assemblage
Figure 1. Map of sampling stations during Ocean Research Vessel III cruise 563, from 27 September to 2 October 1999. Station A6 is the South-East Asia Time Series (SEATS) station in the South China Sea.
Figure 5 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 5. Abundance of the main meroplanktonic taxa in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004.
Figure 4 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 4. Abundance of the main holoplanktonic taxa (except for Copepoda) in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004. Note the different scales.
Figure 3 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 3. Abundance of numerically dominant copepod species in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004. Note the different scales.
Figure 2 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 2. Rainfall data, and mean temperature and salinity in the Paranaguá Bay Estuarine Complex, between August 2003 and June 2004. Error bars represent the standard deviation.
Figure 6 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 6. Principal component analysis for temperature, salinity, rainfall data and phytoplankton abundance, and abundance of the main zooplankton taxa.
Figure 7 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 7. (A, B) The seasonal variation of the average temperature and oxygen content in each of the depth layers (0–10, 10–20, 20–30 and 30–40 m) during September 2004 to August 2005. (C) The seasonal variation of the water transparency in the three sampling stations during September 2004 to August 2005.
Figure 3 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 3. Seasonal variation of the abundance (ind L21) of calanoid and cyclopoid copepods and the percentage contribution of copepod nauplii.
Figure 4 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 4. Seasonal variation of the abundance (ind L21) of the six most important rotifer species (Gastropus stylifer, Kellicottia longispina, Ploesoma truncatum, Synchaeta sp., Brachionus calyciflorus and Hexarthra sp.).
Figure 5 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 5. Seasonal percentage contribution of the cladoceran species to the abundance of the cladoceran community and seasonal variation of the abundance (ind L21) of the cladoceran species.
Figure 8 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 8. Seasonal variation of the median depths (m) of (A) the most important rotifer species G. stylifer, K. longispina, P. truncatum, (B) the rotifers Synchaeta sp., B. calyciflorus and H. mira, (C) the Eudiaptomus drieschi adults, copepodites and the copepod nauplii, and (D) the three most important cladocerans (B. longirostris, D. cucullata and D. orghidani).
Figure 6 in Spatial and temporal distribution of zooplankton in Lake Trichonis (Greece)
Figure 6. The vertical distribution of the total zooplankton and the main zooplanktonic groups as the mean percentage of total caught in the water column sampled in the four seasons during the whole sampling period. The average median depth (m) of each group in the first (2003–04) and the second sampling period (2004–05) are shown with the continuous and dotted line, respectively.
Raw EK80 echosounder data of zooplankton collected by wideband autonomous transceiver in mesocosm AZKABAN 2022-01-17
<p>Broadband active acoustic measurements using an echosounder (185 to 255 kHz) of a mix of zooplankton collected in Kongsfjorden in a mesocosm (2m x 2m x 3m). The experiment was completed from the wharf in Ny-Ålesund. The fileset includes calibrations of the transducer (ES200-7CDK-split; Kongsberg Maritime AS) with the wideband Autonomous Transceiver (Kongsberg Maritime AS) from January 19th, 2022.</p>
Raw data obtained during study regarding road salt impact on zooplankton communities, Poland
<p>Raw data obtained during the environmental study conducted in years 2019-2021 on four urban ponds located in Lodz, Poland.</p>
Data from: Eco-evolutionary dynamics in urbanized landscapes: evolution, species sorting and the change in zooplankton body size along urbanization gradients
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.