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.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “Fish markets”
Fig 3.4 in Consumer trend and fish distribution in fish markets in Batticaloa district, Eastern Sri Lanka
Fig 3.4: The A and B graph shows the number of Reef fish species and Shore and Inland fish species respectively vary with the season (Dec13 to May 14).
Fig 3.3 in Consumer trend and fish distribution in fish markets in Batticaloa district, Eastern Sri Lanka
Fig 3.3: Overall fish availability (%) in Urban (L)and Rural(R) markets, Here, Val-Valichennai, Odu-Oddumavadi, Bat-Batticaloa, Kal-Kaluvanchikuddy, Ara-Arampathy, Era-Eravur, Kat-Kattankuddy, Che-Chenkalady, Van-Vantharumoolai, Kir-Kiran, Kar-Kalar.
Fig 3.2 in Consumer trend and fish distribution in fish markets in Batticaloa district, Eastern Sri Lanka
Fig 3.2: Availability of Shore line and Reef fish (family) in Urban and Rural Markets
Fig 3.1 in Consumer trend and fish distribution in fish markets in Batticaloa district, Eastern Sri Lanka
Fig 3.1: Distribution of shore and reef fishes in urban and rural markets
Fig 2.1 in Consumer trend and fish distribution in fish markets in Batticaloa district, Eastern Sri Lanka
Fig 2.1: Location of Fish Markets in Batticaloa District (Urban and Rural markets)
Fig 5 in Overview of Mogadishu fish market
Fig 5: Price determination
Fig 2 in Overview of Mogadishu fish market
Fig 2: Recorded Favorite Fish
Fig 1 in Overview of Mogadishu fish market
Fig 1: Researcher with Yellow Fin and Skipjack Tuna at Mogadishu Fish Market
Fig 3 in Overview of Mogadishu fish market
Fig 3: Mogadishu Fish Market
Reinforcement learning theory reveals the cognitive requirements for solving the cleaner fish market task
<p>Learning is an adaptation that allows individuals to respond to environmental stimuli in ways that improve their reproductive outcomes. The degree of sophistication in learning mechanisms potentially explains variation in behavioural responses. Here, we present a model of learning that is inspired by documented intra- and interspecific variation in the performance in a simultaneous two-choice task, the 'biological market task'. The task presents a problem that cleaner fish often face in nature: the decision of choosing between two client types; one that is willing to wait for inspection and one that may leave if ignored. The cleaners' choice hence influences the future availability of clients, i.e. it influences food availability. We show that learning the preference that maximizes food intake requires subjects to represent in their memory different combinations of pairs of client types rather than just individual client types. In addition, subjects need to account for future consequences of actions, either by estimating expected long-term reward or by experiencing a client leaving as a penalty (negative reward). Finally, learning is influenced by the absolute and relative abundance of client types. Thus, cognitive mechanisms and ecological conditions jointly explain intra and interspecific variation in the ability to learn the adaptive response.</p>
Reinforcement learning theory reveals the cognitive requirements for solving the cleaner fish market task
Open the record for dataset details and reuse information.
Lighthouse Fish Market on James St. N
Created with Polycam on July 14, 2021 at https://w3w.co/spend.oldest.peachy Source: Objaverse 1.0 / Sketchfab
Fig 4 in Overview of Mogadishu fish market
Fig 4: where people buy fish
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.