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.
2,445
datasets available to search
ShareScore release 0.9.0
Dataset results
2,445 results for “Genetics: population”
Fig. 2 in Optimisation Of Dna Extraction And Rapd-Pcr Amplification For Population Genetic Analysis Of Daphnia Cucullata Sars, 1862 (Crustacea: Cladocera)
Fig. 2. RAPD fingerprints results from different samples of Daphnia cucullata with primers OPA-03 and OPA-05 (M- marker, 1-11 runners- different samples of Daphnia cucullata; 12- control) using RAPD-PCR 10 × Taq buffer with (NH4)2SO4.
Fig.1 in Optimisation Of Dna Extraction And Rapd-Pcr Amplification For Population Genetic Analysis Of Daphnia Cucullata Sars, 1862 (Crustacea: Cladocera)
Fig.1. RAPD fingerprints results from different samples of Daphnia cucullata with primers OPA-03 and OPA-05 (M- marker, 1-16 runners- different samples of Daphnia cucullata; 17- control) using RAPD-PCR 10 × Taq buffer with KCl.
Figure 2 in Genetic characterization of sharpsnout seabream (Diplodus puntazzo) populations along the Tunisian coasts
Figure 2. – Neighbour Joining (NJ) dendrogram drawn using the Nei and Li genetic distance matrix based on ISSR marker data.
FIGURE 1 in Development of microsatellite loci and population genetics in the bumblebee catfish species Pseudopimelodus atricaudus and Pseudopimelodus magnus (Siluriformes: Pseudopimelodidae)
FIGURE 1 | Sampling sites of Pseudopimelodus magnus and P. atricaudus in the middle and lower sectors of the Cauca River.
Figure 3 in Infraspecific genetic variation and population structure of Salvia nemorosa L. (Lamiaceae) in Iran
Figure 3. PCoA plot of the studied populations based on ISSR data (population numbers are according to Table 1).
Figure 2 in Infraspecific genetic variation and population structure of Salvia nemorosa L. (Lamiaceae) in Iran
Figure 2. MDS plot of the studied populations based on ISSR data (population numbers are according to Table 1).
Figure 4 in Infraspecific genetic variation and population structure of Salvia nemorosa L. (Lamiaceae) in Iran
Figure 4. NJ tree of S. nemorosa populations based on ISSR results (population numbers are according to Table 1).
Fig. 6 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 6 Map of sampling sit_s of Paramecium biaurelia strains coll_ct_d during fi_ld r_s_arch in th_ Kraków ar_a. a Kraków, "At th_ brickyard" pond, 1 sampling point. b Kraków, Zaczarowana Dorożka Park (pond), 2 sampling points. c Pi_skowa Skała (pond), 1 sampling point. d Kraków,
Fig. 5 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 5 Haplotyp_ n_twork of Paramecium biaurelia construct_d using th_ 123 s_qu_nc_s of ribosomal ITS1- 5.8S-ITS2-5'LSU fragm_nts (a) and 139 of mitochondrial COI fragm_nts (b). Th_ n_twork pr_s_nts a comparison of haplotyp_s obtain_d in th_ Kraków ar_a vs. th_ oth_r localiti_s, wh_r_ mol_cular data for P. biaurelia is availabl_. Black dash_s on particular branch_s r_pr_s_nt nucl_otid_ substitutions b_tw__n particular haplotyp_s. Analys_s w_r_ conduct_d using th_ M_dian Joining m_thod in PopART softwar_ v. 1.7
Fig. 4 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 4 Haplotyp_ n_twork of Paramecium biaurelia construct_d using th_ 123 s_qu_nc_s of ribosomal ITS1- 5.8S-ITS2-5'LSU fragm_nts (a) and 139 of mitochondrial COI fragm_nts (b). Th_ n_twork pr_s_nts r_ciprocal r_lationships b_tw__n, and th_ origin of P. biaurelia haplotyp_s id_ntifi_d in curr_nt study. Black dash_s on particular branch_s r_pr_s_nt nucl_otid_ substitutions b_tw__n particular haplotyp_s. Analys_s w_r_ conduct_d using th_ M_dian Joining m_thod in PopART softwar_ v. 1.7
Figure 8 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 8. TCS network of the studied S. limbata and their individuals (numbers indicated the populations based on Table 1).
Figure 6 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 6. STRUCTURE analysis of the studied populations, which revealed the best number of K=7 (numbers indicated the populations based on Table 1).
Figure 5 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 5. NJ tree of the evaluated populations and their individuals based on ISSR data (numbers indicated the populations based on Table 1).
Figure 4 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 4. UPGMA tree of the studied populations and their members according to ISSR data (numbers indicated the populations based on Table 1).
Figure 2 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 2. PCA plot of the evaluated populations and their individuals (numbers indicated populations according to Table 1).
Figure 7 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 7. Reticulation dendrogram of the studied populations that indicating gene flow among. Abbreviations: Arak (1- 3), Sangak (4-6), Semnan (7-9), Vidar (10-12), Ahovan (13-15), Zarandiyeh (16-18), Ghoochan (19-21) and Lashkarak (22-24).
Figure 1 in Genetic variability and population structure of some Iranian Salvia limbata C. A. Mey. populations
Figure 1. Distribution map of the investigated populations of S. limbata (numbers indicated populations according to Table 1).
Fig. 2 in Soluble proteins in Messor structor (Latreille, 1798) (Hymenoptera: Formicidae) populations from Bulgaria - genetic variability and possible usage as population-genetic markers
Fig. 2. Spectrum of soluble proteins of M. structor workers (7.5% PAGE): a. Elenovo population; b. Tsalapitsa population.
Fig. 3. a in Soluble proteins in Messor structor (Latreille, 1798) (Hymenoptera: Formicidae) populations from Bulgaria - genetic variability and possible usage as population-genetic markers
Fig. 3. a. UPGMA dendrogram (Sneath et al. 1973); b. Neighbour-joining dendrogram (Saitou & Nei 1987).
Fig. 7 in Population genetics of Oligonychus perseae (Acari: Tetranychidae) collected from avocados in Mexico and California
Fig. 7. Local aerial dispersal behavior detected in field populations of Oligonychus perseae. A. Cultivar 'Hass' avocado tree foliage from a commercial orchard in California infested with O. perseae as indicated by characteristic necrotic spots on the leaf undersurface. B. Adult O. perseae being carried by wind currents land on hand and clothes during assessment of mite infestation. C. A group of O. perseae adults (individual mites within black dashed circles) begins to disperse on a fine silk strand from a cultivar 'Hass' avocado leaf. All photographs by JRL.
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.