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.
1,598
datasets available to search
ShareScore release 0.7.1
Dataset results
1,598 results for “genetic diversity”
Figure 2 in Reduced genetic diversity and the success of the invasive peacock bass (Cichliformes: Cichlidae)
Figure 2. Gray-greenish and yellowish types of Cichla collected in the reservoirs of the submiddle stretch of São Francisco River.
F I G U R E 2 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 2 Number of articles on genetic diversity for seed plants in different fields. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rule: TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity). The numbers in parentheses represent the number of articles published in different fields. The overlapping areas show studies that cover multiple fields.
F I G U R E 1 in Current progress and future prospects for understanding genetic diversity of seed plants in China
F I G U R E 1 Number of articles on genetic diversity in different sequencing stages, with lines of red, blue, and green representing studies for all organisms, plants, and seed plants, respectively. Molecular markers and their first published time are provided in the blue boxes. Three major public databases (NCBI, EMBL, and BioSino) and their established time are shown in the red boxes. The data comes from the results of Web of Science (www.webofscience.com/wos/alldb/basic‐search, accessed: January 17th, 2024) using the search rules: TS = (genetic diversity) for all, TS = (plants genetic diversity) OR TS = (ferns genetic diversity) OR TS = (moss genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for plants, and TS = (seed plant genetic diversity) OR TS = (flowering plant genetic diversity) OR TS = (germplasm genetic diversity) OR TS = (angiosperm genetic diversity) OR TS = (gymnosperm genetic diversity) for seed plants.
Linked collectors and determiners for: FBIP: Genetic diversity of olive insect pests and their natural enemies in the Western Cape.
Natural history specimen data linked to collectors and determiners held within, "FBIP: Genetic diversity of olive insect pests and their natural enemies in the Western Cape". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0081d6b8-9c38-49ee-8355-f5a118cc0876">https://bionomia.net/dataset/0081d6b8-9c38-49ee-8355-f5a118cc0876</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0081d6b8-9c38-49ee-8355-f5a118cc0876">https://gbif.org/dataset/0081d6b8-9c38-49ee-8355-f5a118cc0876</a>. Formatted as a Frictionless Data package.
Data: Genetic diversity of Colletotrichum lupini and its virulence on white and Andean lupin
<p>DATA</p> <p>Lupin cultivation worldwide is threatened by anthracnose, a destructive disease caused by the seed- and air-borne fungal pathogen <em>Colletotrichum lupini</em>. In this study we explored the intraspecific diversity of 39 <em>C. lupini</em> isolates collected from different lupin cultivating regions around the world, and representative isolates were screened for their pathogenicity and virulence on white and Andean lupin. Multi-locus phylogeny and morphological characterizations showed intraspecific diversity to be greater than previously shown, distinguishing a total of six genetic groups and ten distinct morphotypes. Highest diversity was found across South America, indicating it as the center of origin of <em>C. lupini</em>. The isolates that correspond to the current pandemic belong to a genetic and morphological uniform group, were globally widespread, and showed high virulence on tested white and Andean lupin accessions. Isolates belonging to the other five genetic groups were mostly found locally and showed distinct virulence patterns. Two highly virulent strains were shown to overcome resistance of advanced white lupin breeding material. This stresses the need to be careful with international seed transports in order to prevent spread of currently confined but potentially highly virulent strains. This study improves our understanding of the diversity, phylogeography and pathogenicity of a member of one of the world’s top 10 plant pathogen genera, providing valuable information for breeding programs and future disease management.</p>
Data from: Genetic and ecogeographic controls on species cohesion in Australia's most diverse lizard radiation
<p>Species vary extensively in geographic range size and climatic niche breadth. If range limits are primarily determined by climatic factors, species with broad climatic tolerances and those that track geographically widespread climates should have large ranges. However, large ranges might increase the probability of population fragmentation and adaptive divergence, potentially decoupling climatic niche breadth and range size. Conversely, ecological generalism in widespread species might lead to higher gene flow across climatic transitions, increasing species' cohesion and thus decreasing genetic isolation-by-distance (IBD). Focusing on Australia's iconic <em>Ctenotus</em> lizard radiation, we ask whether species range size scales with climatic niche breadth and the degree of population isolation. To this end, we infer independently evolving operational taxonomic units (OTUs), their geographic and climatic ranges, and the strength of IBD within OTUs based on genome-wide loci from 722 individuals spanning 75 taxa. Large-ranged OTUs were common and had broader climatic niches than small-ranged OTUs; thus, large ranges do not simply result from passive tracking of widespread climatic zones. OTUs with larger ranges and broader climatic niches showed relatively weaker IBD, suggesting that large-ranged species might possess intrinsic attributes that facilitate genetic cohesion across large distances and varied climates. By influencing population divergence and persistence, traits that affect species cohesion may play a central role in large-scale patterns of diversification and species richness.</p>
Figure 4 in Genetic diversity, population structure and demographic history of Dugesia japonica in Taihang Mountains
Figure 4. Median-joining haplotype network based on mitochondrial gene COI. The four ellipses represent four clades in Figure 3, respectively. Each circle represents a haplotype, the area of the circle is proportional to the frequency of haplotypes, and black dots represent hypothetical unobserved haplotypes. Different populations are shown in different colors.
Figure 3 in Genetic diversity, population structure and demographic history of Dugesia japonica in Taihang Mountains
Figure 3. Maximum likelihood (ML) and Bayesian inference (BI) phylogentic trees based on mitochondrial gene COI. Dugesia ryukyuensis (Genbank accession no. AB618488) serves as the outgroup. The broken lines denote inconsistent branches. Bootstrap percentages (BP,>50 only) of ML analysis and posterior probabilities (PP,>0.50 only) of Bayesian inference are shown above and below the branch, respectively. HG—haplogroup.
Figure 1 in Cryptic genetic diversity and host specificity of Bothriocephalus acheilognathi Yamaguti, 1934 (Eucestoda: Bothriocephalidea)
Figure 1. Sample localities of Bothriocephalus acheilognathi studied in China. The code number is corresponding to the locality in Table 1.
Figiure 3 in Cryptic genetic diversity and host specificity of Bothriocephalus acheilognathi Yamaguti, 1934 (Eucestoda: Bothriocephalidea)
Figiure 3. Phylogenetic relationships of Bothriocephalus based on the ribosoml internal transcribed spacer sequences (ITS1+ITS2) using maximum likelihood (ML) method. Numbers near branch node are the bootstrap support value for ML, maximum parsimoy (MP), and posterior probability for Bayesian inference (BI).
Fig. 2 in Genetic diversity among white-nest swiftlets of the genus Aerodramus (Aves: Apodidae: Collocaliini) of house-farms in Malaysia
Fig. 2. Schematic diagram of the mitochondrial cyt-b region sequenced in the previous and present studies. Dark bands on the grey strip indicate the location of the five clade-specific sites.
Fig. 1 in Genetic diversity among white-nest swiftlets of the genus Aerodramus (Aves: Apodidae: Collocaliini) of house-farms in Malaysia
Fig. 1. One of the six equally parsimonious trees rooted with Collocalia esculenta. Bootstrap values shown above the nodes. Posterior probabilities from Bayesian Inference shown below the nodes.
Fig. 3 in A multi-approach analysis of the genetic diversity in populations of Astyanax aff. bimaculatus Linnaeus, 1758 (Teleostei: Characidae) from Northeastern Brazil
Fig. 3. Giemsa-stained karyotypes of Astyanax aff. bimaculatus (2n = 50, FN = 96) from sites A (a), B (b) and C (c). In (d), a somatic metaphase after silver nitrate staining in a specimen from Contas River, showing four positive signals (arrows). The bar equals 5µm.
Fig. 2 in A multi-approach analysis of the genetic diversity in populations of Astyanax aff. bimaculatus Linnaeus, 1758 (Teleostei: Characidae) from Northeastern Brazil
Fig. 2. Partial view of collection sites of Astyanax aff. bimaculatus in the State of Bahia, Brazil: (a) Contas River, upstream Pedra Dam, Porto Alegre County – site A, (b) Contas River, downstream Pedra Dam, city of Jequié – site B, and (c) Mineiro stream, Recôncavo Sul Basin, city of Itamari – site C. In (d), view of Pedra Dam reservoir in Middle Contas River, city of Jequié.
Fig. 1 in A multi-approach analysis of the genetic diversity in populations of Astyanax aff. bimaculatus Linnaeus, 1758 (Teleostei: Characidae) from Northeastern Brazil
Fig. 1. Map of the studied area in the State of Bahia, Brazil, showing the hydrographic system and collection sites of Astyanax aff. bimaculatus: (a) site A - Contas River, upstream of Pedra Dam, Porto Alegre County (b) site B - Contas River, downstream of Pedra Dam, city of Jequié (Contas River Basin), (c) site C - Mineiro stream, city of Itamari (Recôncavo Sul Basin) and (*) location of Pedra Dam in Contas River. A specimen of Astyanax aff. bimaculatus is illustrated in detail (total length = 6.65 cm).
Figure 10 in Species diversity and endemism in the Daphnia of Argentina: a genetic investigation
Figure 10. UPGMA tree based on allozyme variation at seven loci in Daphnia spinulata populations from Argentina and D. exilis populations from North America. Data for most of the D. exilis populations are from Hebert & Finston (1993), but trimmed to the same seven loci surveyed in the Argentine populations. Codes for their populations are in capital letters and indicate the state where each was collected. Codes in small letters represent new D. exilis data and are found in Appendix 2, while the D. spinulata codes are in Appendix 1. The scale bar represents Nei's genetic distance.
Figure 6 in Species diversity and endemism in the Daphnia of Argentina: a genetic investigation
Figure 6. Collection sites for Argentine populations belonging to the subgenus Ctenodaphnia. Photographs are included for a single individual of each species. Species assignments are based on genetic analyses (see text and subsequent figures). Animals are not shown to scale, and not all sites are shown (see Appendix 1 for the complete collection list).
Figure 7 in Species diversity and endemism in the Daphnia of Argentina: a genetic investigation
Figure 7. NJ tree based on COI sequence variation among all unique haplotypes of Argentine populations belonging to the subgenus Ctenodaphnia. Two members of the subgenus Daphnia (D. obtusa and D. pulex) were included to root the tree. Bootstrap values are presented for major clusters, and K2P distances are indicated by the scale bar. The collection site of each individual is indicated by its population code (see Appendix 1). Individuals morphologically identified as D. notacantha are indicated by an asterisk. This tree is not intended to represent a phylogenetic hypothesis for the subgenus.
Figure 9 in Species diversity and endemism in the Daphnia of Argentina: a genetic investigation
Figure 9. NJ tree based on COI sequence variation among a sample of Daphnia spinulata populations from Argentina and D. exilis populations from North America. The scale bar represents K2P distance. The codes for Argentine populations are provided in Appendix 1, while D. exilis codes are found in Appendix 2.
Figure 8 in Species diversity and endemism in the Daphnia of Argentina: a genetic investigation
Figure 8. NJ tree based on COI sequences for two populations of North American and one population of South American Daphnia similis. Populations of Argentine D. spinulata and North American D. exilis are included for comparison. South American sequences are indicated in bold. The scale bar represents K2P distance.
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.