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.
7,920
datasets available to search
ShareScore release 0.9.0
Dataset results
7,920 results for “implications”
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.)
Fig. 6 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 6. Marginal effects plot of the gamma generalised linear model of the Zeroaltered gamma model, predicting kidney fat weight as a function of snout-vent length and sex of the host. The colour of the 95% confidence interval corresponds to the sex of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 3). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. Diplodiscus japonicus and Diplodiscus mehari mitochondrial genomes arrangement. All 22 in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 1. Diplodiscus japonicus and Diplodiscus mehari mitochondrial genomes arrangement. All 22 tRNA genes are designated by the one-letter code with numbers differentiating each of the two tRNAs leucine and serine. All genes are coded by the same DNA strand and are transcribed clockwise. NCR refers to the non-coding region.
Fig. 5 in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 5. Proportions between rates of non-synonymous (dN) and synonymous (dS) nucleotide substitutions (dN/dS). Bar chart for pairwise proportions of dN/dS for each of the mitochondrial subunits of the Diplodiscus spp.
Fig. 4. A in Life history strategies of Cotylurus spp. Szidat, 1928 (Trematoda, Strigeidae) in the molecular era - Evolutionary consequences and implications for taxonomy
Fig. 4. A median-joining network of COI haplotype of Cotylurus. Each circle represents a unique haplotype where the diameter is proportional to the number of DNA sequences represented.
Fig. 3 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 3. Marginal effects plot of a logistic regression model predicting the presence (a) of T. acutum as a function of sex of the host and the presence/absence of S. nasicola, the other parasite, (b) of S. nasciola as a function of sex of the host and (c) of S. nasciola as a function of age of the host and the presence/absence of T. acutum. The 95% confidence intervals are shown as error bars or in grey. The plots is based on the most parsimonious model identified after model selection (see Table 1).
Fig. 1 in Life history strategies of Cotylurus spp. Szidat, 1928 (Trematoda, Strigeidae) in the molecular era - Evolutionary consequences and implications for taxonomy
Fig. 1. The phylogenetic relationships within genus Cotylurus based on the concatenated COI mtDNA and 28S rDNA markers. The analysis was performed by the use of Bayesian inference, diamond symbol indicates posterior probability greater than 90%.
Fig. 3 in Life history strategies of Cotylurus spp. Szidat, 1928 (Trematoda, Strigeidae) in the molecular era - Evolutionary consequences and implications for taxonomy
Fig. 3. The phylogenetic relationships within the genus Cotylurus based on COI mtDNA marker. The analysis was performed by the use of Bayesian inference, diamond symbol indicates posterior probability greater than 90%.
Fig. 4 in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 4. Sliding window analysis of the complete mt genome sequences of 11 Paramphistomoidea trematodes. A sliding window of 300 bp (in 10 bp overlapping steps) was used to estimate nucleotide diversity Pi (π) across the alignments. Nucleotide diversity was plotted against the mid-point positions of each window. Each gene boundary is identified.
Fig. 5 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 5. Marginal effects plot of the zero hurdle model of the Zero-altered gamma model, predicting the presence of kidney fat as a function of (a) snout-vent length, (b) abundance of T. acutum, (c) abundance of S. nasicola and (d) sex of the host. The 95% confidence intervals are shown in grey. The plot is based on the most parsimonious model identified after model selection (see Table 3).
Fig. 5 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 5. Phylogenetic tree Note: (A): Maximum likelihood (ML) phylogenetic tree inferred from the mitochondrial genome based on the 13 PCGs dataset; (B): Bayesian inference (BI) phylogenetic tree inferred from the mitochondrial genome based on the 13 PCGs dataset.
Fig. 4 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 4. Mitochondrial genome organization of Platygaster robiniae and 11 species of Platygastroidea, compared with the ancestral pancrustacean mt genome organization. Note: tRNA genes are indicated by single letter amino acid codes, L1, L2, S1 and S2 denote tRNALeu(CUN), tRNALeu(UUR), tRNASer(AGN) and tRNASer(UCN), respectively. Genes are transcribed from left to right except those indicated by underlining. Gene movements, relative to the ancestral organization, are indicated with arrows.
Fig. 3 in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 3. Relative synonymous codon usage (RSCU) of 12 protein coding genes of Diplodiscus japonicus and Diplodiscus mehari. The termination codon is not given.
Fig. 2 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 2. Amino acids (A) and relative synonymous codons (B) of protein-coding genes of the mitochondrial genome of Platygaster robiniae.
Fig. 2. A in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 2. A + T content and nucleotide skew of genes, individual elements, and the complete mitogenome of 11 Paramphistomoidea trematodes.
Fig. 2 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 2. Geographic origin of the skulls of the European polecat (Mustela putorius) analysed in this study. The size of the pie charts is indicative of the number of skulls analysed per locality and the contents of the pie charts are indicative of the infestation status of the corresponding animals. SKJ: Skrjabingylus nasicola, TRO: Troglotrema acutum. The numbers are indicative of the major landscape unit of origin of the samples.
Fig. 1 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 1. Genetic map of the complete mitochondrial genome of Platygaster robiniae. Notes: the blue arrow represents the direction of gene transcription; the black peak represents the deviation of GC%; the purple and green peaks represent the deviation in GC skew; green refers to positive skew, and purple indicates negative skew. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 1. Dorsal views of European polecat (Mustela putorius) skulls with or without infestations of the cranial helminths Skrjabingylus nasicola and Troglotrema acutum. (a) Skull of a non-infested one-year-old male. (b) Skull of a threeyear-old male with lesions in the frontal bone resulting from an infestation with T. acutum. (c) Lesions in both postorbital processes and the rear of the frontal bone of a skull of a two-year-old male infested with both parasites. (d) Lesion in the right postorbital process of a skull of a two-year-old male infested with both parasites. (e) Skull of a three-year-old female with lesions in both postorbital processes resulting from an infestation with S. nasicola. (f) Lesions in both postorbital processes and the frontal bone of a skull of a four-year-old female infested with both parasites. (g) Skull of a two-year-old female infested with T. acutum that is characterised by large perforations in the frontal bone and exposure of the frontal sinus and the nasal cavity. (h) Skull of a four-year-old male with perforations in and distensions of the frontal bone resulting from an infestation with T. acutum. (i) Skull of a five-year-old male characterised by multiple perforations and distended and sponge-like appearance of the bones across the whole of the frontal dorsal cranium.
Fig. 6 in Characterization of the complete mitochondrial genomes of Diplodiscus japonicus and Diplodiscus mehari (Trematoda: Diplodiscidae): Comparison with the members of the superfamily Paramphistomoidea and phylogenetic implication
Fig. 6. Phylogenetic relationships of Diplodiscus japonicus and Diplodiscus mehari with other 30 representative Digenea trematodes based on concatenated amino acid sequences of 12 protein coding genes analyzed by maximum likelihood (ML) and Bayesian inference (BI) using Gyrodactylus salaris as the outgroup. Statistical support values (Bootstrap/posterior probability) of ML/BI analysis are shown above the nodes. Circles indicate ML/BI = 100/1.0, other values are given above the nodes. Suborders and families are highlighted by individual colors. Accession numbers are given for each species at the end of each sequence. The scale bar corresponds to the estimated number of substitutions per site. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Interactions of cranial helminths in the European polecat (Mustela putorius): Implications for host body condition
Fig. 4. Marginal effects plot of logistic regression model predicting the presence of skull damage as a function of sex of the host, the abundance of S. nasciola and a selection of T. acutum abundances. The colour of the 95% confidence interval corresponds to the T. acutum abundance of the same colour. The plot is based on the most parsimonious model identified after model selection (see Table 2). (For interpretation of the references to colour 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.