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927 results for “genetic study”
Fig. 1. Study area. Interstate Highway 88 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)
Fig. 1. Study area. Interstate Highway 88 (I-88) and the Susquehanna River (Susq.) bisect Otsego and Delaware Counties, New York, USA.
Fig. 1 in Revision of the genus Thinophilus Wahlberg (Diptera: Dolichopodidae) from Singapore and adjacent regions: A long term study with a prudent reconciliation of a genetic to a classic morphological approach
Fig. 1. Present extension of Singapore's mangroves (in green). The numbers indicate the sites that were sampled during the 1-month Singapore Mangrove Insect Project (SMIP 2009); and the 2-year Mangrove Insect Project (MIP 2012-2014). 1, Mandai mangroves; 2, Kranji Nature Trail; 3, Sungei Buloh Wetland Reserve; 4, Lim Chu Kang; 5, Sarimbun mangroves; 6, Berlayer Creek; 7, Pulau Semakau original or old mangrove (SMO); 8, Pulau Semakau, replanted or new mangrove (SMN); 9, Changi creek; 10, Pulau Tekong; 11, Pulau Ubin, Chek Jawa; 12, Pasir Ris; 13, Pulau Seletar; 14, Sungei Cina.
Fig. 4 in Revision of the genus Thinophilus Wahlberg (Diptera: Dolichopodidae) from Singapore and adjacent regions: A long term study with a prudent reconciliation of a genetic to a classic morphological approach
Fig. 4. Thinophilus apicatus sp. nov., male. A, Detail of surstyli ventrally; B, Tips cerci dorsally; C, Ventral view of epandrium; D, Lateral view of epandrium.
Fig. 3 in Revision of the genus Thinophilus Wahlberg (Diptera: Dolichopodidae) from Singapore and adjacent regions: A long term study with a prudent reconciliation of a genetic to a classic morphological approach
Fig. 3. Thinophilus apicatus sp. nov., male. A, Mid femur; B, Hind femur; C, Posterior view of fore leg; D, Anterior view of fore coxa.
Fig. 1 in Baseline study of the morphological and genetic characteristics of Haemoproteus parasites in wild pigeons (Columba livia) from paddy fields in Thailand
Fig. 1. Haemoproteus columbae from the blood of wild pigeons (Columba livia); cytochrome b lineage HAECOL1 (a–d), COLIV03 (e–f) and COQUI05 (i–l); macrogametocytes (a–b; e–f; i–j) and microgametocytes (c–d; g–h; k–l); simple arrows: nuclei of erythrocytes; short triangle-head arrows: volutin granules; long trianglehead arrows: pigment granules; scale bar = 10 μm.
Fig. 2 in Baseline study of the morphological and genetic characteristics of Haemoproteus parasites in wild pigeons (Columba livia) from paddy fields in Thailand
Fig. 2. Haplotype network of partial cyt b sequence (479 bp) of Haemoproteus columbae from wild pigeons (Columba livia); (A) the three common haplotypes (HAECOL1, COLIV03 and COQUI05) found in this study and proportions between study sites; (B) proportions of each haplotype reported worldwide and in the two study sites; Nakhon Sawan (purple), Phitsanulok (pink), and previous reports (gray); number of sequences shown in a pie chart of the network, without number inside indicates one sequence. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Figure 1. - Study stream locations where lamprey were collected. 1 in A genetic method to differentiate Petromyzon marinus ammocoetes from those of the paired species Lampetra fluviatilis and L. planeri
Figure 1. - Study stream locations where lamprey were collected. 1: Gironde basin; 1a: Livenne River; 1b: Dronne River; 1c: Dordogne River; 1d: Cere River; 2: Loire basin; 3: Meuse basin.
Supplementary table for "Deciphering the Relationship Between Circulating Metabolites and Osteoarthritis: A Comprehensive Genetic Correlation and Mendelian Randomization Studies"
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Data from: Dispersal in a house sparrow metapopulation: an integrative case study of genetic assignment calibrated with ecological data and pedigree information
<p class="western">Dispersal has a crucial role determining eco-evolutionary dynamics through both gene flow and population size regulation. However, to study dispersal and its consequences, one must distinguish immigrants from residents. Dispersers can be identified using telemetry, capture-mark-recapture (CMR) methods, or genetic assignment methods. All of these methods have disadvantages, such as, high costs and substantial field efforts needed for telemetry and CMR surveys, and adequate genetic distance required in genetic assignment. In this study, we used genome-wide 200K Single Nucleotide Polymorphism data and two different genetic assignment approaches (GSI_SIM, Bayesian framework; BONE, network-based estimation) to identify the dispersers in a house sparrow (<i>Passer domesticus</i>) metapopulation sampled over 16 years. Our results showed higher assignment accuracy with BONE. Hence, we proceeded to diagnose potential sources of errors in the assignment results from the BONE method due to variation in levels of inter-population genetic differentiation, intra-population genetic variation and sample size. We show that assignment accuracy is high even at low levels of genetic differentiation and that it increases with the proportion of a population that has been sampled. Finally, we highlight that dispersal studies integrating both ecological and genetic data provide robust assessments of the dispersal patterns in natural populations.</p>
Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data2
<p>The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles.<br> <br> File Description:</p> <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and houses' data</li> <li>Houses_Input_Output_JSONs_and_Statistics - Zip containing the input and output files from the proposed system, as well as their corresponding schedule statistics</li> </ul>
Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data
<p>The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles.<br> <br> File Description:</p> <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and other house data</li> <li>Houses_Input_JSONs - Zip containing the input files, from each house, for the proposed system</li> </ul>
dataset related to article "Multiple Genetic Rare Variants in Autism Spectrum Disorders: A Single-Center Targeted NGS Study"
<p>dataset contains: NGS data (.vcf; .bam; .bam.bai) of all 40 ASD patients analysed in the study at title</p>
Genetic differentiation following recent domestication events: A study of farmed Nile tilapia (Oreochromis niloticus) populations
<p>SNP array data from our research article. It contains the SNP markers in common across the different Nile tilapia (Oreochromis niloticus) populations assessed in the study</p>
Figure 5 Nav kdr 1016 and 1534 in Genetic study in Aedes (Stegomyia) aegypti (Linnaeus, 1762) from Londrina (Paraná State, Brazil): an approach to population structure and pyrethroid resistance
Figure 5 Nav kdr 1016 and 1534 site allele frequencies in UEL. Collection site locations were distributed in the three regions of the campus.
Figure 4 in Genetic study in Aedes (Stegomyia) aegypti (Linnaeus, 1762) from Londrina (Paraná State, Brazil): an approach to population structure and pyrethroid resistance
Figure 4 Allele frequencies of Nav kdr 1016 and 1534 genotyping distributed in the five different regions of Londrina.
Figure 3 in Genetic study in Aedes (Stegomyia) aegypti (Linnaeus, 1762) from Londrina (Paraná State, Brazil): an approach to population structure and pyrethroid resistance
Figure 3 Haplotypic network obtained through specimens collected in UEL. The circles are proportional to the number of specimens observed in each haplotype.
Figure 2 in Genetic study in Aedes (Stegomyia) aegypti (Linnaeus, 1762) from Londrina (Paraná State, Brazil): an approach to population structure and pyrethroid resistance
Figure 2 Haplotype network observed in five regions of Londrina. The circles are proportional to the number of specimens observed in each haplotype. The haplotypes observed are in bold. The numbers represent nucleotide change positions.
Figure 1 in Genetic study in Aedes (Stegomyia) aegypti (Linnaeus, 1762) from Londrina (Paraná State, Brazil): an approach to population structure and pyrethroid resistance
Figure 1 Collection sites in Londrina. The red line is a boundary between the five regions of the city. The yellow ones represent the streets and avenues of the city. Only the urban area was evaluated in the study.
Data for: Sampling affects population genetic inference: a case study of the Allen's (Selasphorus sasin) and rufous hummingbird (Selasphorus rufus) (Part 1/2)
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Data for: Sampling affects population genetic inference: a case study of the Allen's (Selasphorus sasin) and rufous hummingbird (Selasphorus rufus) (Part 2/2)
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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.