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.
262
datasets available to search
ShareScore release 0.9.0
Dataset results
262 results for “Genetic variability”
Data from: Enamel proteins reveal biological sex and genetic variability within southern African Paranthropus
<p>This dataset contains the sequences of Paranthropus robustus, first described in 'Enamel proteins reveal biological sex and genetic variability within southern African Paranthropus', as well as the reference data and all the results from the analysis of those sequences.</p> <p><strong>Folders and Sub-Folders:</strong></p> <p><strong>- Paranthropus_Raw_AA_Sequences_Unaligned: </strong>Contains 2 fasta files. Paranthropus_Unaligned.fasta contains all the Paranthropus robustus sequences that were used for all of the analyses. Paranthropus_Unaligned_UNFILTERED.fasta contains all the Paranthropus robusts sequences <strong>before </strong><strong>filtering </strong>for SAP quality/confidence. These sequences were not used in any of the analyses, but are provided here for openness. </p> <p> </p> <p> </p> <p><strong>-</strong> <strong>Reference_Datasets</strong>: Contains 3 fasta files. Each fasta file is a reference dataset used in at least one analysis. The identity and origin of each sample is described in the supplementary document of the publication.</p> <p> </p> <p> </p> <p><strong>- Phylogenetic_Analysis_Datasets_and_Trees: </strong>Contains the following <strong>five folders</strong></p> <p> - <strong>Paranthropus_Alignments_All_Datasets</strong>: Contains three folders. Each folder contains the aligned and I/L corrected MSAs (Multiple Sequence Alignments) of Paranthropus robustus and a reference dataset.</p> <p> - <strong>Paranthropus_Diversity_Dataset_Trees_Results</strong>: Contains all analysis done using the 'diversity' reference dataset. Contains one folder for each protein, which includes the protein alignment and the phylogenetic tree of that protein. Additionally a folder named 'CONCATENATED' contains the concatenated alignemnts and trees. The BEAST2-STARBEAST3 folder contains the Starbeast3 analysis, including the xml, output log file, output trees and the input taxon set file.</p> <p> - <strong>Paranthropus_Representative_Dataset_Trees_Results:</strong> Contains all analysis done using the 'representative' reference dataset. Contains one folder for each protein, which includes the protein alignment and the phylogenetic tree of that protein. Additionally a folder named 'CONCATENATED' contains the concatenated alignemnts and trees. The BEAST2 folder contains the time-calibrated BEAST2 analysis, including the xml, output log file, output trees. The folder Distance_Matrix contains the generated distance matrix and the Rscript used to generate the heatmap from it.</p> <p> - <strong>Paranthropus_Independent_Dataset_Trees_Results: </strong>Contains all nexus files and tree-figures used in the analysis of the 'independent' reference dataset. </p> <p> - <strong>Tree_Figures: </strong>Contains three sub-folders and an additional figure. Each sub-folder contains the phylogenetic tree figures generated using one of the three reference datasets.</p>
Fig. 2 in Allozyme-Based Genetic Variability Of The Daphnia Atkinsoni-Bolivari Species Complex (Cladocera: Daphniidae) In The Hungarian Great Plain
Fig. 2. UPGMAclusteringofNei'soriginalgeneticdistancesbetweenpopulationsof Daphniaatkinsoni and D. bolivari. Themorphological D. bolivari populationsaremarkedwith
Fig. 7 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 7. Micrographs of the outer edge of the inhalant siphon in mussels: 1 — A. cygnea (r. Derevychka); 2 — A. anatina (Lyutsymer lake); 3 — P. complanata (r. Uzh); 4 — S. woodiana (r. Danube). Рис. 7. Микрофотографии наружного края вводных сифонов у беззубок: 1 — A. cygnea (р. Деревичка); 2 — A. anatina (оз. Люцимер); 3 — P. complanata (р. Уж); 4 — S. woodiana (р. Дунай.
Fig. 5 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 5. The distribution of mussels from four species in the space of canonical variables made by conchological characters. N o t e. Еxtrapolation of specimens distribution on probability level is p <0.05. Рис. 5. Распределение особей четырёх видов беззубок в пространстве канонических переменных, построенных по конхиологическим признакам. П р и м е ч а н и е. Экстраполяция распределения особей проведена на уровне вероятности p <0,05.
Fig. 2 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 2. UPGMA phenogram of genetic distances (Nei, 1972) between mussel species and populations. N o t e. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Riwer systems: 1 — Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 1 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 1. Main places of material collection: 1 — r. Danube, 2 — r. Tysa, 3 — Upper Dniester, 4 — Lower Dniester, 5 — r. Ingul, 6 — r. Western Bug, 7 — r. Prypyat, 8 — Upper Dnipro, 9 — r. Ros, 10 — r. Psel, 11 — r. Siversky Donets, 12 — r. Salgyr.
Fig. 4 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 4. UPGMA phenogram of genetic distances (Tamura et al., 2004, 2011) between specimens of four Anodontinae species made by homologous sequences of two homologous loci (COI and 16S). Рис. 4. UPGMA фенограмма генетических дистанций (Tamura et al., 2004, 2011), построенная по гомологичным последовательностям двух локусов (COI и 16S) между отдельными особями четырёх видов Anоdontinae.
Fig. 3 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 3. Geographic variation of Mdh-1 locus in P. complanata populations in Ukraine (Mdh-1110 — filled with black, Mdh-1120 — filled with grey).
Fig. 6 in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Fig. 6. The umbonal structure of the shell in molluscs from subfamily Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana. Рис. 6. Структура вершины раковины моллюсков подсемейства Anodontinae: 1 — A. cygnea; 2 — A. anatina; 3 — P. complanata; 4 — S. woodiana.
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым). in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 3. Географическая изменчивость локуса Mdh-1 в популяциях P. complanata в пределах Украины (Mdh-1110 — заполнение чёрным цветом, Mdh-1120 — серым).
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир. in Genetic And Morphological Variability And Differentiation Of Freshwater Mussels (Bivavia, Unionidae, Anodontinae) In Ukraine
Рис. 2. UPGMA — фенограма генетических дистанций (Nei, 1972) между видами и популяциями двустворчатых моллюсков. П р и м е ч а н и е. Aa — A. anatina, Ac — A. cygnea, Pc — P. complanata, Sw — S. woodiana. Речные системы: 1 — Дунай, 2 — р. Тиса, 3 — Верхний Днестр, 4 — Нижний Днестр, 5 — р. Ингул, 6 — р. Западный Буг, 7 — р. Припять, 8 — р. Верхний Днепр, 9 — р. Рось, 10 — р. Псёл, 11 — р. Северский Донец, 12 — р. Салгир.
Pollinator loss causes rapid adaptive evolution of selfing and dramatically reduces genome-wide genetic variability
<p>While selfing populations harbor little genetic variation limiting evolutionary potential, the causes are unclear. We experimentally evolved large, replicate populations of <em>Mimulus guttatus </em>for nine generations in greenhouses with or without pollinating bees and studied DNA polymorphism in descendants. Populations without bees adapted to produce more selfed seed yet exhibited striking reductions in DNA polymorphism despite large population sizes. Importantly, the genome-wide pattern of variation cannot be explained by a simple reduction in effective population size, but instead reflects the complicated interaction between selection, linkage, and inbreeding. Simulations demonstrate that the spread of favored alleles at few loci depresses neutral variation genome-wide in large populations containing fully selfing lineages. It also generates greater heterogeneity among chromosomes than expected with neutral evolution in small populations. Genome-wide deviations from neutrality were documented in populations with bees, suggesting widespread influences of background selection. After applying outlier tests to detect loci under selection, two genome regions were found in populations with bees, yet no adaptive loci were otherwise mapped. Large amounts of stochastic change in selfing populations compromise evolutionary potential and undermine outlier tests for selection. This occurs because genetic draft in highly selfing populations makes even the largest changes in allele frequency unremarkable.</p>
Fig. 3 in Distribution Patterns And Genetic Variability Of Three Stream-Dwelling Fish Species
Fig. 3. Principal Coordinates Analysis (PCoA) of the genetic and hydrographic distances of the sampled stocks (a, c, e: genetic distances; b, d, f: hydrographic distances)
Fig. 2 in Distribution Patterns And Genetic Variability Of Three Stream-Dwelling Fish Species
Fig. 2. Canonical Correspondence Analysis (CCA) ordination diagram showing the effect of environmental factors on the relative abundances of studied species. The first axis explains 29.93% and
Fig. 1 in Distribution Patterns And Genetic Variability Of Three Stream-Dwelling Fish Species
Fig. 1. Map of sampling sites. (bold = sampling sites of genetic surveys) (drawn with grey: lowland sections of streams) Latitudes and longitudes: top (of box): 48°05'N; bottom: 47°21'N; left: 20°16'E;
Fig.5 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig.5. Principal component analysis (PCA) plot of the genetic structuring among the three vendace populations. A). PC1 and PC2 explain 25.50% and 21.88% of the total variation, respectively (by allozyme markers); B). PC1 and PC2 explain 19.52% and 13.73% of the total variation, respectively (by RAPD markers).
Fig. 4 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig. 4. Number of RAPD loci and gene diversity of Coregonus albula in three Latvian lakes, based on RAPD markers.
Fig.3 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig.3. Allelic richness and polymorphism in Coregonus albula populations in studied lakes based on allozyme markers.
Genetic variability and telomeres: Insights from a tropical avian hybrid zone
<p>Telomere lengths and telomere dynamics can correlate with lifespan, behavior, and individual quality. Such relationships have spurred interest in understanding variation in telomere lengths and their dynamics within and between populations. Many studies have identified how environmental processes can influence telomere dynamics, but the role of genetic variation is much less well characterized. To provide a novel perspective on how telomeric variation relates to genetic variability, we longitudinally sampled individuals across a narrow hybrid zone (n = 127 samples), wherein two <em>Manacus </em>species characterized by contrasting genome-wide heterozygosity interbreed. We measured individual (n = 66) and population (n = 3) differences in genome-wide heterozygosity and, among hybrids, amount of genetic admixture using RADseq-generated SNPs. We tested for population differences in telomere lengths and telomere dynamics. We then examined how telomere lengths and telomere dynamics covaried with genome-wide heterozygosity within populations. Hybrid individuals exhibited longer telomeres, on average, than individuals sampled in the adjacent parental populations. No population differences in telomere dynamics were observed. Within the parental population characterized by relatively low heterozygosity, higher genome-wide heterozygosity was associated with shorter telomeres and higher rates of telomere shortening – a pattern that was less apparent in the other populations. All of these relationships were independent of sex, despite the contrasting life histories of male and female manakins. Our study highlights how population comparisons can reveal interrelationships between genetic variation and telomeres, and how naturally occurring hybridization and genome-wide heterozygosity can relate to telomere lengths and telomere dynamics.</p>
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,
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.