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.
700
datasets available to search
ShareScore release 0.9.0
Dataset results
700 results for “Molecular identification”
Figure 8 in Molecular identification, description, and phylogenetic implications of the tadpoles of 11 species of Malagasy treefrogs, genus Boophis
Figure 8. Drawings of the tadpole of Boophis luteus (ZSM uncatalogued). (a) Dorsal view; (b) lateral view; (c) oral disc.
Figure 9 in Molecular identification, description, and phylogenetic implications of the tadpoles of 11 species of Malagasy treefrogs, genus Boophis
Figure 9. Drawings of the tadpole of Boophis sp. aff. elenae (ZSM uncatalogued). (a) Dorsal view; (b) lateral view; (c) oral disc.
FIGURE 5 in Confirmation of Aedes koreicus (Diptera: Culicidae) in Belgium and description of morphological differences between Korean and Belgian specimens validated by molecular identification
FIGURE 5. SEM photo of the saddle and siphon of Aedes koreicus.
FIGURE 6 in Confirmation of Aedes koreicus (Diptera: Culicidae) in Belgium and description of morphological differences between Korean and Belgian specimens validated by molecular identification
FIGURE 6. SEM photo of an egg of Aedes koreicus.
FIGURE 2 in Molecular identification of three of the most important mealybug species (Hemiptera: Sternorrhyncha: Coccoidea: Pseudococcidae) on ornamental plants in Guilan province, Iran
FIGURE 2. Map of Guilan province, Iran, showing the collection sites (Scale 1:50000).
FIGURES 24–25 in Molecular systematics and morphological identification of the cryptic species of the genus Acalles Schoenherr, 1825, with descriptions of new species (Coleoptera: Curculionidae: Cryptorhynchinae)
FIGURES 24–25. Acallocrates minutesquamosus from Europe, habitus and aedeagus.
FIGURE 1 in Molecular systematics and morphological identification of the cryptic species of the genus Acalles Schoenherr, 1825, with descriptions of new species (Coleoptera: Curculionidae: Cryptorhynchinae)
FIGURE 1. Coloracalles edoughensis, habitus and aedeagus.
FIGURE 2 in Molecular systematics and morphological identification of the cryptic species of the genus Acalles Schoenherr, 1825, with descriptions of new species (Coleoptera: Curculionidae: Cryptorhynchinae)
FIGURE 2. Pseudodichromacalles xerampelinus, habitus and aedeagus.
Figure 8 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 8 - The Neighbour-Joining tree of the genus Campiglossa with Sphenella marginata as outgroup inferred from COI barcodes. Bootstrap values above 50 (1000 replicates) are given at the nodes.
Figure 9 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 9 - The Neighbour-Joining tree of the genus Orellia inferred from COI barcodes. Bootstrap values above 50 (1000 replicates) are given at the nodes.
Figure 6 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 6 - Best Close Match (BCM) identification of the stripped dataset, e.g. excluding singletons and Urophora (n = 414). Proportions of true positives (TP), false positives (FP), false negatives (FN) and true negatives (TN) are given for 30 arbitrary distance thresholds ranging from 0.15 to 0.00. For each threshold the percentages of precision, accuracy and discarded queries were calculated.
Figure 5 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 5 - Best Close Match (BCM) identification of the entire dataset (n = 555). Proportions of true positives (TP), false positives (FP), false negatives (FN) and true negatives (TN) are given for 30 arbitrary distance thresholds ranging from 0.15 to 0.00. For each threshold the percentages of precision, accuracy and discarded queries were calculated.
Figure 4 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 4 - Identification rates of all five criteria: Neighbour-Joining (NJT) sensu Hebert et al. (2003), revised criteria (NJT_M) according to Meier et al. (2006), and Best Match (BM), Best Close Match (BCM) and All Species Barcodes (ASB) also described by Meier et al. (2006) for four different datasets, including singletons and with (n = 555) or without (n = 452) Urophora, and the same excluding singletons (n = 514) and (n = 414) respectively.
Figure 3 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 3 - Box plots depicting the variation in mean distances using K2P-distance modeling of sequence divergence for intraspecific, interspecific difference among the species and genera, as well as the ingroup genera with the outgroup genus.
Figure 7 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 7 - Relative ID errors at 30 arbitrary threshold values for a. the entire dataset (n = 555), b. the stripped dataset, e.g. excluding singletons and Urophora (n = 414) and c. the stripped dataset excluding the problematic Terellia groups. Linear regression was used to infer the ad hoc threshold for the 95th percentile of the correctly identified queries and the relative ID error does not exceed 5%. In (a) and (b) this value is below 0.00, only in (c) this value is positive: 0.051 (R-square 0.91).
Figure 2 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 2 - The Neighbour-Joining tree of the entire dataset based on COI barcodes. Terminal branches have been collapsed in order to save space, the total number of specimens is given in brackets and the area surface of the triangle represents the amount of variation. When a terminal branch contains two species, both names are provided as well as their respective number of specimens. If a branch contains more than two species only the number of species as well as the number of specimens are given. Bootstrap values above 50 (1000 replicates) are given at the nodes.
Figure 10 from: Smit J, Reijnen B, Stokvis F (2013) Half of the European fruit fly species barcoded (Diptera, Tephritidae); a feasibility test for molecular identification. ZooKeys 365: 279-305. https://doi.org/10.3897/zookeys.365.5819
Figure 10 - The Neighbour-Joining tree of the genus Urophora inferred from COI barcodes. Bootstrap values above 50 (1000 replicates) are given at the nodes.
Figure 1 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 1 - Map of the study sites in Peninsular Malaysia: 1 Hulu Langat, Selangor 2 Labu, Negeri Sembilan 3 Janda Baik, Pahang 4 Gunung Tebu, Terengganu.
Figure 4 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 4 - Maximum parsimony tree constructed from 28 sequences (including one outgroup sequence) of the Cyt b gene. The numbers at the branches stand for bootstrap values 70% and above of 1000 replications. Genera of ticks represented by blue for Ixodes sp., orange for Dermacentor sp., violet for Haemaphysalis sp. and green for Amblyomma sp.
Figure 3 from: Che Lah EF, Yaakop S, Ahamad M, Md Nor S (2015) Molecular identification of blood meal sources of ticks (Acari, Ixodidae) using cytochrome b gene as a genetic marker. ZooKeys 478: 27-43. https://doi.org/10.3897/zookeys.478.8037
Figure 3 - Neighbor-joining tree constructed from 28 sequences (including one outgroup sequence) of the Cyt b gene. The numbers at the branches stand for bootstrap values 70% and above of 1000 replications. Genera of ticks represented by blue for Ixodes sp., orange for Dermacentor sp., violet for Haemaphysalis sp. and green for Amblyomma sp.
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.