Data comprise health, reproductive status and relative abundance of mature perch and roach collected in September 2014, March 2015, June 2015 and September 2015 from lakes in Belarus and Ukraine. Measurements presented include age, weight, length, presence of external signs of disease and presence of macroscopic tumors. The Fulton condition index (K), hepatosomatic index (HSI) and gonadosomatic index (GSI) of fish are also presented. The lakes (selected according to hydrological properties and long-term exposure to a gradient of radiation dose) are situated at distances from 1.5 to 225 km of the Chernobyl NPP. Glubokoye, Yanovsky lakes and Cooling Pond are the high (H) contaminated lakes, Svyatoye Lake is a medium (M) contaminated lake, and Stoyacheye, Dvoriche and Gorova lakes are the low (L) contaminated lakes. Full details about this dataset can be found at https://doi.org/10.5285/02a53248-1bfd-4f1e-8f76-888551635c98

The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077

Computed tomography (CT) scans of 212 museum specimens, including mostly cartilaginous and bony fishes as well as several reptiles and amphibians, were obtained to quantitatively study vertebral column morphology and regionalisation. The specimens are housed in the University of Cambridge Museum of Zoology or the Natural History Museum in London (specimen identification numbers can be found in the supporting documentation). These data consist of 1) series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions; 2) STL files of each vertebra for a subset of the specimens scanned; 3) 3D landmark coordinates or measurements for each vertebra for a subset of taxa scanned; 4) tables of results from regionalisation analyses, and 5) photographs of eight fossil fish specimens Supplemental files include details of the data collection procedures, specimen identification numbers and updated taxonomy, and CT scanning parameters for all scans. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/1c76e443-da02-4bc4-a041-0f79adc016be

This dataset consists of fecundity, egg and associated data on female pike (Esox lucius) from net sampling in Windermere. Data collection began in 1963. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by the Centre for Ecology & Hydrology and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/4b255fc4-33d3-4beb-a238-37e1a8cf32a2

These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. Sample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. These data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme. Full details about this dataset can be found at https://doi.org/10.5285/84242834-dc78-49a6-83cb-951edac65d18

This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in Nottinghamshire, UK. The fish were then used in a quantitative trait loci (QTL) experiment to determine the genomic regions associated with various phenotypic traits in the fish. The phenotypic information includes body length, body weight, sex, whether species of the parasite Schistocephalus was observed in the body cavity, and the composition of the body of the fish (determined by ICPMass Spectromotry) including the following elements: B, Na, Mg, P, S, K, Ca, Ti, Li, Be, Al, V , Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb, U Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e7797949-8b96-423e-870e-69e8314dbe90

The resource consists of cartesian coordinates, expressed in units of pixels, for fish swimming individually, in groups of six individuals, and in groups of six individuals while presented repeatedly with a food stimulus delivering two food items until satiation. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. The data were collected between September 2019 and March 2020 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test how individual temperament and the acquisition of knowledge and satiation interact when animals make foraging decisions in groups. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world. All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42

CT scans of adult little skates (Leucoraja erinacea). These scans consist of series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions. Supplemental files include CT scanning parameters, landmark coordinates for each vertebra in each skate, up to vertebra 70, as well as an R script with code for analysing vertebral shape using morphometrics and segmented linear regression tests. Computed tomography scans of three adult little skates were obtained in order to quantitatively study vertebral column morphology and regionalization. The skate fins were removed to facilitate shipping to our scanning facility, and so the scans include only the head, gill basket, and axial column. The specimens are now housed in the University of Cambridge Museum of Zoology (specimen identification numbers 2021.50.1, 20201.50.2, and 2021.50.3). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d7810c7-92af-47b2-81ec-365aafc39691

Data contain measurements of physiological variation in threespine stickleback from Icelandic populations. The data includes metabolic rates measured on individual stickleback fish across three temperatures (Metabolism.csv), inter-individual variation in distances between individuals under different temperature treatments using fish from a geothermal and ambient population (Sociability.csv), and the time individuals spent under different temperatures on their own (TemperaturePreference.csv). Full details about this dataset can be found at https://doi.org/10.5285/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e

Faecal pellets and eggs of Antarctic silverfish have been collected over the seasons using a sediment trap deployed on 1998 in Terra Nova Bay, Ross Sea, Antarctica in the frame of the National Italian Antarctic Research project (PNRA). Antarctic silverfish (ASF) accounts for over 90% of the local fish communities in the Southern Ocean costal area. Samples have been investigated in order to quantify the contribution of fish faecal pellets and eggs to the export of carbon. Funding: CLIMA project (Climatic Long-term Interactions for the Mass Balance in Antarctica) of the Italian National Program for Research in Antarctica.