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.
132
datasets available to search
ShareScore release 0.7.1
Dataset results
132 results for “Alces alces”
Alces alces (Cervidae) - whole organism
Image of Alces alces (Cervidae) - whole organism
Alces alces (Cervidae) - whole organism
Image of Alces alces (Cervidae) - whole organism
Dataset: Alternus Clean Energy Inc (ALCE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Alternus Clean Energy Inc (ALCE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 4 in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition
Fig. 4. Counts of abomasal nematodes in moose, hunted during the licensed hunting season, autumn 2013, in Hedmark county, Norway, in relation to slaughter weight, gender (F – females [black]; M – males [grey]) and body condition index (poor – BCI <0 [open circles]; good – BCI> 0 [filled circles]). The lines show model predictions from a quasi-Poisson generalised linear model explaining 72.4% of the deviance. The lines show the model predictions for individuals with BCI equal to 1st and 3rd quartiles.
Fig. 3. A in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition
Fig. 3. A box–whisker plot showing the prevalence of infection with protostrongylid larvae (dorsal spine larvae) in moose hunted during the licensed hunting season, autumn 2013, in Hedmark county, Norway, in relation to age. The median (solid black line), quartiles (ends of boxes) with the whiskers indicating the variability outside the quartiles, and extreme outliers, individual points, are shown.
Fig. 1 in Endoparasites in a Norwegian moose (Alces alces) population - Faunal diversity, abundance and body condition
Fig. 1. Histogram of number of parasite groups (parasite diversity) found in individual moose (n = 30) shot during the licensed hunting season, autumn 2013, in Hedmark county, Norway.
Fig. 4 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 4. Parsimony analysis of the combined nuclear and mitochondrial genes yielded four equally parsimonious trees (CI 0.93). Strict consensus supported monophyly of B. transfuga and identity of the L3 recovered from moose.
Fig. 3 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 3. Molecular phylogenetic analyses establishing identity of Baylisascaris transfuga in moose calves. Branch support indicated by parsimony bootstrap above and Bayesian posterior probability below. Fig 3A. Parsimony analysis of the 12S rDNA sequences showing strict consensus of 2 equally parsimonious trees. Fig 3B. Parsimony analysis showing strict consensus of the cox2 sequences which yielded four equally parsimonious trees (CI 0.86). Fig 3C. Parsimony analysis of the 28S rDNA sequences yielded one most parsimonious tree of length (CI 0.97). Fig. 3D. Parsimony analysis of the ITS rDNA sequences yielded one most parsimonious tree of length (CI 0.97).
Fig. 1 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 1. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 1. Brain tissue with L3's in transverse sections. Note prominent lateral alae, coelomyarian polymyarian musculature and morphology consistent with Baylisascaris; maximum diameter of L3, 85 μm.
Fig. 2 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 2. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 2. Third stage larva in longitudinal section, view of cephalic region in brain tissue.
Fig. 4 in First report of a newly-described lungworm, Dictyocaulus cervi (Nematoda: Trichostrongyloidea), in moose (Alces alces) in central Europe
Fig. 4. The prevalence of larvae from the genus Dictyocaulus and larvae from the family Protostrongylidae in the faeces of moose. IQR – interquartile range.
Fig. 5 in First report of a newly-described lungworm, Dictyocaulus cervi (Nematoda: Trichostrongyloidea), in moose (Alces alces) in central Europe
Fig. 5. The number of larvae from the family Protostrongylidae in the faecal samples of moose with, and without, larvae from the genus Dictyocaulus. IQR – interquartile range.
Fig. 3 in First report of a newly-described lungworm, Dictyocaulus cervi (Nematoda: Trichostrongyloidea), in moose (Alces alces) in central Europe
Fig. 3. Lung pathology of adult Dictyocaulus negative cases. (A) Bands of fibrous tissue. Van Gieson's staining, (10× magnification). (B) Subpleural fibrosis. Van Gieson's staining, (10× magnification). (C) Alveolar damage and mononuclear cell infiltration, exudative fluid located in alveoli and inter-alveolar spaces. H-E staining, (10× magnification). (D) Mononuclear inflammatory infiltration. H-E staining, (40× magnification). (E and F) cross sections of larvae in alveoli, damaged alveoli. H-E staining, (40× magnification).
Fig. 1 in First report of a newly-described lungworm, Dictyocaulus cervi (Nematoda: Trichostrongyloidea), in moose (Alces alces) in central Europe
Fig. 1. Results of the multiplex PCR test detecting various Dictyocaulus species. Lane M1: O'GeneRuler 50 bp DNA Ladder (ThermoFisher Scientific); lane M2: O'GeneRuler 100 bp (ThermoFisger Scientific); lanes 1–4: D. cervi product (~800 bp); (lane 1: D. cervi from a moose from Kampinos Forest; lane 2: D. cervi from a moose from West Polesie; lane 3: D. cervi from another moose from West Polesie; lane 4: D. cervi from a red deer from north-east Poland); lane 5: D. capreolus from a roe deer from north-east Poland (~400 bp); lane 6: D. viviparus from European bison from Białowie˙za Forest (~600 bp); lane K(–): negative control.
Fig. 3 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 3. The predicted parasite intensity of moose nose bot fly larvae for harvested calves (red), yearlings (blue) and adult (green) moose in central and southern Norway. Predictions from the highest ranked intensity model with study area and age group. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 2. The predicted infection prevalence of moose nose bot fly larvae with increasing moose (host) density. The shaded area shows the 95% confidence interval. Predictions from the highest ranked model with moose density. In the plot we used the function "jitter" in the R package ggeffects (Lüdecke, 2018), which adds small random variation to the data points to better reflect the amount of data for moose densities. Hence, the points do not reflect exact values as they are binomial.
Fig. 1 in Distribution, prevalence and intensity of moose nose bot fly (Cephenemyia ulrichii) larvae in moose (Alces alces) from Norway
Fig. 1. Study areas in southern (Oslo, AurskogHøland and Kongsvinger) and central Norway (Selbu, Tydal, Malvik, Stjørdal and Meråker) with location and moose density (moose density, see Materials and methods) in sampling municipalities. Red filled circle indicate where the moose nose bot fly (Cephenemyia ulrichii) was first found in Norway, and open circles show where moose heads were examined without detection of the moose nose bot fly in 1987 (Nilssen and Haugerud, 1994). Blue circles indicate where the moose nose bot fly were found in Sweden in the late 1970s and 1980s (Steen et al., 1988). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 2. Summary of Parelaphostrongylus spp. infection in white-tailed deer (Odocoileus virginianus) fecal samples collected in Western Manitoba. Partial CO1 and ITS-2 genetic sequence results found white-tailed deer fecal samples with Parelaphostrongylus andersoni and Parelaphostrongylus tenuis in game hunting area (GHA) 13, 18 and 27 and only P. tenuis infected fecal pellets in GHA 22. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 1. Average dorsal-spined larvae (DSL) prevalence in white-tailed deer (Odocoileus virginianus) fecal samples in each game hunting area (GHA) sampled in Manitoba in 2020 and 2021. For trips, early summer collection was in June, mid-summer was July–August and late summer was August–September. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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.