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.
732
datasets available to search
ShareScore release 0.9.0
Dataset results
732 results for “population variation”
FIGURES 66–69 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 66–69. Notoreas perornata, male genitalia of selected populations (population code in brackets): 66, 68. genital capsule; 67, 69. phallus. 66, 67. Te Humenga Pt WA (2a), NZAC slide Notoreas 7; 68, 69. Dry Rd, Sth Sandhill Creek NN (2b), NZAC slide Notoreas 12.
FIGURES 62–65 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 62–65. Notoreas perornata, male genitalia of selected populations (population code from text in brackets): 62, 64. genital capsule; 63, 65. phallus. Note: apparent slight differences between genitalia of moths from different populations (e.g. shape and spinosity of costal process of valva) do not seem to provide reliable taxonomic characters when larger samples are studied due to variation within populations; these images are included to give an impression of the variation and small differences should not be interpreted as constant or diagnostic. 62, 63. Waimamaku Beach ND (1a), NZAC slide Notoreas 11; 64, 65. Mt Ruapehu TO (1b), NZAC slide Notoreas 2.
FIGURES 48–53 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 48–53. Notoreas perornata adults (2d). 48. Female upperside, Mt Starveall NN; 49. Male underside (same specimen as Fig. 44); 50. Male underside (same specimen as Fig. 45); 51. Female underside (same specimen as Fig. 46); 52. Female underside (same specimen as Fig. 47); 53. Female underside (same specimen as Fig. 48).
FIGURES 42–47 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 42–47. Notoreas perornata adults: 42, 43. (2c); 44–47. (2d). 42. Female underside (same specimen as Fig. 39); 43. Female underside (same specimen as Fig. 40); 44. Male upperside, Mt Arthur NN; 45. Male upperside, Dun Mt NN (holotype of N. regilla Philpott); 46. Female upperside, Jacks Pass MB; 47. Female upperside, Craigieburn MC.
FIGURES 19–24 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 19–24. Notoreas perornata adults: 19–21. (1d); 22–23. (1e). 19. Male upperside, Cape Turnagain HB; 20. Female upperside, Cape Turnagain HB; 21. Male underside (same specimen as Fig. 19); 22. Female underside (same specimen as Fig. 20); 23. Male upperside, Castlepoint WA; 24. Female upperside, Castlepoint WA.
FIGURES 31–35 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 31–35. Notoreas perornata adults (2a). 31. Female upperside, L. Kohangapiripiri WN; 32. Female upperside, White Rock Rd WA; 33. Male underside (same specimen as Fig. 29); 34. Male underside (same specimen as Fig. 30); 35. Female underside, Owhiro Bay WN (BPNZ).
FIGURES 8–13 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 8–13. Notoreas perornata adults (1b). 8. Male upperside, Waipakihi River TO; 9. Female upperside, Blowhard Bush HB; 10. Female upperside, Mt Ruapehu TO; 11. Female upperside, Mt Ruapehu TO; 12. Male underside, Waipakihi River TO; 13. Female underside (same specimen as Fig. 11).
FIGURES 36–41 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 36–41. Notoreas perornata adults: 36, 37. (2b); 38–41. (2c). (1e). 36. Male upperside, Dry Rd–Anatori R. NN; 37. Male underside (same specimen as Fig. 36); 38. Male upperside, Wairau Bar MB; 39. Female upperside, Rarangi, Cloudy Bay SD; 40. Female upperside, Rarangi, Cloudy Bay SD; 41. Male underside (same specimen as Fig. 38).
FIGURES 2–7. N in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURES 2–7. N. perornata adults (1a). 2. Male upperside, Karioitahi Beach AK (1a); 3. Male upperside, [ND?] (BPNZ); 4. Female upperside, [ND?] (BPNZ); 5. Female upperside, Karioitahi Beach AK; 6. Male underside (same specimen as Fig. 2); 7. Female underside (same specimens as Fig. 5).
FIGURE 1 in Wing pattern variation and DNA barcodes defy taxonomic splitting in the New Zealand Pimelea Looper Notoreas perornata (Walker) (Lepidoptera: Geometridae: Larentiinae): the importance of populations as conservation units
FIGURE 1. Mitochondrial DNA (COI) gene tree for Notoreas perornata complex and selected outgroups. Branch lengths are drawn proportional to the estimated number of substitutions per site following the scale bar. Numbers above branches are maximum likelihood bootstrap percentages. Species names are followed by specimen numbers in parentheses.
Data from: probing variation in reaction norms in wild populations: the importance of reliable environmental proxies
<p><span>Many traits are phenotypically plastic, i.e., the same genotype expresses different phenotypes depending on the environment. Genotypes and individuals can vary in their response to the environment and this genetic (G×E) and individual (I×E) variation in reaction-norm slopes can have important ecological or evolutionary consequences. Studies on I×E/G×E often fail to show slope variation, potentially due to the choice of the environmental covariate. Identifying the genuine environmental driver of phenotypic plasticity (the cue) is practically impossible and hence only proxies can be used. If the proxy is too weakly correlated with the cue, this may lead researchers to conclude there is little or no (variation in) plasticity, and hence lead to downwardly biased estimates of the potential for plastic responses (or evolutionary change in the slope) in response to environmental change. Alternatively, the Environment-Specific Mean phenotype (ESM) across individuals—which captures all environmental effects on the phenotype—as covariate should be less prone to such bias. We showed by simulation—after verifying the concept analytically—that using weakly correlated proxies indeed biased estimates of slope variation vis-à-vis the true cue downward but that ESM as a covariate held up well, even when multiple sources of I×E or an interaction between environments (I×E×E) existed in the data. Analysis of two real datasets revealed that estimated I×E and G×E, respectively, were more sizeable and precise when using ESM as opposed to reasonably informative environmental proxies. We argue that the ESM approach should be adopted by biologists as a yardstick in the study of (variation in) plasticity in the wild and that it may serve as a useful starting point for the search of better environmental proxies and unravelling complex I×E or G×E patterns.</span></p>
Variation in Opioid Prescribing and Use for Acute Pain in Diverse Populations
ClinicalTrials.gov study NCT04509115. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Human Genomic Population Structure and Phenotype-genotype Variation in ADME Genes in Four Populations
ClinicalTrials.gov study NCT02789527. IPD Sharing: UNDECIDED. Countries: 4. Publications: 1.
Phylogenomic variation at the population-species interface and assessment of gigantism in a model wolf spider genus (Lycosidae, Schizocosa)
Open the record for dataset details and reuse information.
Data from: Phenotypic, ecological and genomic variation in common bully (Gobiomorphus cotidianus) populations along depth gradients in New Zealand's Southern Great Lakes
Open the record for dataset details and reuse information.
Spatiotemporal variation in drivers of parasitism in a wild wood mouse population
Open the record for dataset details and reuse information.
Variation at an adhesin locus suggests sociality in natural populations of the yeast Saccharomyces cerevisiae
Open the record for dataset details and reuse information.
Data from: Genetic variation in HIF signaling underlies quantitative variation in physiological and life history traits within lowland butterfly populations
Open the record for dataset details and reuse information.
Data from: Estimating genomic diversity and population differentiation – an empirical comparison of microsatellite and SNP variation in Arabidopsis halleri
Open the record for dataset details and reuse information.
Data from: Temporal variation in the genetic structure of a drone congregation area: An insight into the population dynamics of wild African honeybees (Apis mellifera scutellata)
Open the record for dataset details and reuse information.
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.