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5,538 results for “Population data”
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Data used for submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover".
<p>Datasets generated and presented in the submission entitled "Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover". Includes the results of statistical analysis.</p>
Supplementary Data - Haplotype-based inference of recent effective population size in modern and ancient DNA samples
<p>This repository contains the simulated data analyzed in our manuscript titled "Haplotype-based Inference of Recent Effective Population Size in Modern and Ancient DNA Samples".The data is split into 7 datasets. </p><p><strong>- demographies.tar.gz</strong>: the simulated demographic models.<br><strong>- modern_data.tar.gz:</strong> simulated SNP-araray data. The genotypes were simulated under 4 demographic histories (see demographies.tar.gz) for 256 samples and under 10 different random seeds (Replicate 1-10). Additionally, Replicates 11 and 12 include simulations at larger sample sizes. Note that the results at lower sample sizes can be obtained by keeping the first N samples of the simulated files.<br><strong>- true_ibd.tar.gz :</strong> This dataset contains the IBD segments from the simulated modern_data (ground truth from ARGON simulator).<br><strong>- ancient_data.tar.gz</strong> dataset contains simulated aDNA data. The dataset contains data simulated at different coverages (MISSING_$M, where $M = exp(-coverage)), sample sizes, demographic models, and random seeds. Split into three parts. See below for instructions on how to reconstruct the dataset. <br><strong>- structure.tar.gz</strong> and<strong> admixture.tar.gz :</strong> contain the data simulated under more complex demographic histories involving 2 isolated populations (structure) or a single population undergoing a recent admixture event (admixtuer.tar.gz). The manuscript provides more details about the demographic histories.<br>- <strong>imputed.tar.gz</strong> dataset contains simulated imputed aDNA data. Each region was simulated independently. Each folder corresponds to a chromosome arm and contains:<br> - data.anc_array.npy: list of the SNPs included in the analysis (simulating a 1240k array)<br> - data.glimpse.vcf.gz: phased ancient population data as phased by GLIMPSE v1<br> - data.glimpse.vcf.gz.csi: index for the above VCF file<br> - data.imputed.vcf.gz: imputed ancient population data (unphased, including dosages and genotype posteriors)<br> - data.imputed.vcf.gz.csi: index file for the above VCF<br> - data.map.gz: genetic map for GLIMPSE (tab-separated format: pos chr cM)<br> - data.ref.tsv.gz: file used for calculating genotype likelihoods with BCFtools mpileup command to use as input for GLIMPSE (format: chromosome position ref_allele,alt_allele)<br> - data.ref.tsv.gz.tbi: index for the above file<br> - data.ref.vcf.gz: simulated sequencing data from the reference panel<br> - data.ref.vcf.gz.csi: index file for the above VCF<br> - data.target_ground_truth.vcf.gz: simulated sequencing data for the ancient population (ground truth)<br> - datalist.txt: list of genotype likelihood files for each target individual (to be used for merging into a single file)<br> - data.temp.map.gz: genetic map for data creation with msprime simulator (format: chr position rate(cM/Mb) cM)<br> - data.tree -> msprime simulator output containing all samples, both reference panel samples and ancient population samples<br> - data.vcf.gz: VCF containing ground truth sequencing data, phased genotypes for reference panel samples and for ancient population samples<br> - dataref.fa.fai: index for reference fasta file used during reads creation</p><p> </p><p>Note that some of the datasets have been split into multiple parts, for example admixed.tar.gz has been split into three different parts admixed.tar.gz-part-aa, admixed.tar.gz-part-ab, and admixed.tar.gz-part-ac<br>You can get the data by typing:</p><p>cat admixed.tar.gz.part-* > admixed.tar.gz</p><p><br> </p>
Dataset in csv format containing labor force data in a synthetic population
Open the record for dataset details and reuse information.
Data files for «Wood warbler population dynamics in response to mast seeding regimes in Europe», Journal: Ecology
<p><strong>Abstract</strong></p><p>Mast seeding is the episodic, massive production of plant seeds synchronized over large areas. The resulting superabundance of seeds represents a resource pulse that can profoundly affect animal populations across trophic levels. Following years of high seed production, abundances of both seed consumers and their predators increase. Higher predator abundance leads to increased predation pressure across the trophic web, impacting non-seed consumers such as the wood warbler <i>Phylloscopus sibilatrix</i> through increased nest predation after tree mast years. Over the past 30 years, the frequency of tree seed masts has increased while wood warbler populations have declined in several regions of Europe. We hypothesised that increasing mast frequencies may have contributed to the observed population declines by creating suboptimal breeding conditions in years after masting. We measured reproductive output in four study areas in central Europe, which was between 0.61 and 1.24 fledglings lower in years following masting than non-masting. For each study area, we used matrix population models to predict population trends based on the estimated reproductive output and the local mast frequencies. We then compared the predicted with the observed population trends to assess if the frequency of mast years contributed to the population dynamics. In Wielkopolska National Park (PL) and Hessen (DE), masting occurred on average only every 4 years and populations were stable or nearly so, whereas in Jura (CH) and Białowieża National Park (PL), masting occurred every 2 and 2.5 years, respectively, and populations were declining. The simple matrix population models predicted the relative difference among local population trends over the past 10-20 years well, suggesting that the masting frequency may partly explain regional variation in population trends. Simulations suggest that further increases in mast frequency will lead to further declines in wood warbler populations. We show that changes in a natural process, such as mast seeding, may contribute to the declines of animal populations through cascading effects.</p>
Figure 2 in Data from: Population differentiation and behavioural association of the two 'personality' genes DRD4 and SERT in dunnocks (Prunella modularis)
Figure 2 MSan nucbSr of sightings in thS foraging sitS usSd acong thS thrSS bird spSciSs in both forSst typSs. Data wcth the same superscrcpt letters are not scgncfccantls dcfferent between groups (p <0.05).
Figure 1 in Data from: Population differentiation and behavioural association of the two 'personality' genes DRD4 and SERT in dunnocks (Prunella modularis)
Figure 1 ClustSr analysis of Bray-Curtis sicilarity indicSs. Cluster analsscs of Bras-Curtcs scmclarcts cndcces cn the foragcng scte used among psgms nuthatches (PN), whcte-breasted nuthatches (WN), and brown creepers (BC) cn both forest tspes.
Figure 4 in Data from: Genetic isolation between two recently diverged populations of a symbiotic fungus
Figure 4 Cesults cf tSe randcmizaticn test fcr (a) SigSer meicfaunal taxa and (b) nematcde genera. Standard deviations are scown as vertical bars. Tce sample sizes witc an asterisk reveal tce significant differences of tce Scannon-Wiener index from tce otcer sample sizes.
Figure 3 in Data from: Genetic isolation between two recently diverged populations of a symbiotic fungus
Figure 3 Scatterplcts by ccrrespcndence analysis cf (a) SigSer meicfaunal taxa and (b) nematcde genera. Tce abundance data cave been square root transformed.
Figure 2 in Data from: Genetic isolation between two recently diverged populations of a symbiotic fungus
Figure 2 Dendrcgrams based cn tSe similarity cf tSe Mcrisita-Hcrn index fcr (a) SigSer meicfaunal taxa and (b) nematcde genera. SC, replicates from tce unvegetated quadrat; SEA, SEB, and SEC, replicates from eacc seagrass quadrat. Numbers indicate tce number of replicates.
Figure 1 in Data from: Genetic isolation between two recently diverged populations of a symbiotic fungus
Figure 1 Map cf tSe sampling site in SSiSlang (Ludac) witS indicaticn cf tSe quadrats. SC, unvegetated quadrat; SEA, SEB, and SEC, seagrass quadrats.
GBS and phenotype data for MASPOT population, a panel of tetraploid potato clones
Open the record for dataset details and reuse information.
Supplementary material 4 from: Vanegas-Ríos JA, Serra Alanís WS, Azpelicueta MM, Litz T, Malabarba LR (2024) Population variation of Diapoma pampeana (Characiformes, Characidae, Stevardiinae) from an isolated coastal drainage in Uruguay, with new records: comparing morphological and molecular data. Zoosystematics and Evolution 100(1): 69-85. https://doi.org/10.3897/zse.100.112778
Cluster analysis (Ward's method) of size-corrected morphometric data of analyzed specimens of Diapoma pampeana
Data for: Climatic and management-related drivers of endemic European spruce bark beetle populations in boreal forests
<p>Climate change is already reducing carbon sequestration in Central European forests dramatically through extensive droughts and bark beetle outbreaks. Further warming may threaten the enormous carbon reservoirs in the boreal forests in northern Europe, unless disturbance risks can be reduced by adaptive forest management. The European spruce bark beetle (<em>Ips typographus</em>) is a major natural disturbance agent in spruce-dominated forests and can overwhelm the defences of healthy trees through pheromone-coordinated mass-attacks.</p> <p>We used an extensive dataset of bark beetle trap counts to quantify how climatic and management-related factors influence bark beetle population sizes in boreal forests. Trap data was collected during a period without outbreaks and can thus identify mechanisms that drive populations towards outbreak thresholds.</p> <p>The most significant predictors of bark beetle population size were volume of mature spruce, extent of newly exposed clearcut edges, temperature, and soil moisture. For clearcut edge, temperature, and soil moisture, a three-year time lag produced the best model fit. We demonstrate how a model incorporating the most significant predictors, with a time lag, can be a useful management tool by allowing spatial prediction of future beetle population sizes.</p> <p><em>Synthesis and Applications</em>: Some of the population drivers identified here, i.e., spruce volume and clearcut edges, can be targeted by adaptive management measures to reduce the risk of future bark beetle outbreaks. Implementing such measures may help preserve future carbon sequestration of European boreal forests.</p>
Data from: Analyzing the relative importance of habitat quantity and quality for boosting pollinator populations in agricultural landscapes
<p>Data and code underlying Fijen et al Analyzing the relative importance of habitat quantity and quality for boosting pollinator populations in agricultural landscapes</p>
Data from: Pleistocene island connectivity did not enhance dispersal or impact population size change in Galápagos geckos
<p>Patterns of biodiversity on remote archipelagos are largely shaped by intra-archipelago colonization followed by in situ diversification. Pleistocene sea-level fluctuations purportedly enhanced gene flow among terrestrial organisms by increasing connectivity during periods of lower sea level. Furthermore, changes in sea-level are hypothesized to impact population sizes as a result of fluctuations in island sizes. Here, we used genomic data to test the role of Pleistocene island connectivity on the diversification and demographics of leaf-toed geckos (Phyllodactylus) endemic to the Galápagos. Consistent with previous studies, we found that present diversity of Galápagos Phyllodactylus stems from three independent dispersal events. Contrary to the hypothesis of Pleistocene-driven diversification, we found no correspondence between lineage divergence, island ages, and island connectivity. Furthermore, we found no evidence of introgression, demographic modeling indicated that all species increased rapidly in effective population size between 20–150 kya, and these inferred demographic expansions were largely asynchronous and apparently unassociated with species or island age. Collectively these results indicate that more complex abiotic and/or biotic factors may better explain the recent demographic history of Phyllodactylus and underscore the need for additional population genomic studies of terrestrial taxa to understand the impact of past climate cycles on Galápagos island communities.</p>
Fig. 8 in Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data
Fig. 8. Myosotis antarctica subsp. traillii photographs and distribution map. (a) Habit. (b, d) Rosette leaf tips: (b) adaxial and (d) abaxial sides. (c) Flower. (e) Nutlets. (f) Map of georeferenced herbarium specimens observed by J. M. Prebble (35). Whie scale bars: 2 mm; black scale bars: 1 mm. Photo credits: a, e by J. M. Prebble (a: WELT SP100487, Tiwai Point, Southland, South Island; e: WELT SP104518, cultivated ex Mason Bay, Stewart Island). b, c © Te Papa by H. M. Meudt (b: WELT SP090544, Manihi Rd, Taranaki, North Island; c: WELT SP090629, Hukanui, Gisborne, North Island; d: WELT SP090631, Waipuna, Gisborne, North Island).
Fig. 2 in Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data
Fig. 2. Maps of MaxEnt niche models for pygmy Myosotis in New Zealand and southern South America. (a) Myosotis glauca (light blue circles). (b) M. pygmaea (green circles). (c, h) M. "Volcanic Plateau" (grey triangles). (d) M. brevis (yellow cir-cles). (e) M. drucei (dark blue circles; excluding individuals identified as M. "Volcanic Plateau"). (f) M. drucei (dark blue circles) + M. pygmaea (green circles) + M. "Volcanic Plateau" (grey triangles) (g) M. antarctica (pink circles; Chilean locations), note scale is the same as for maps of New Zealand. a–f use models based on the nine-layer model (see Table 1), whereas g and h are based on the sevenlayer model.
Fig. 5 in Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data
Fig. 5. Myosotis glauca photographs and distribution map. (a) Habit. (b) Rosette leaves, adaxial and abaxial sides. (c) Calyces, left to right most to least mature. (d) Nutlets. (e) Map of georeferenced herbarium specimens observed by J. M. Prebble (16). White scale bars: 2 mm; black scale bar: 1 mm. Photo credits: all by J. M. Prebble (WELT SP093285, Nevis Valley, Otago).
Fig. 4 in Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data
Fig. 4. Myosotis brevis photographs and distribution map. (a) Habit. (b) Inflorescence showing cauline leaf abaxial side. (c) Inflorescence showing cauline leaf adaxial side, calyces, and flower. (d) Rosette leaf adaxial side showing colour morphs. (e) Flower. (f) Nutlet. (g) Map of georeferenced herbarium specimens observed by J. M. Prebble (25). White scale bars: 2 mm; black scale bar: 1 mm. Photo credits: a–e © Te Papa by H. M. Meudt (a: WELT SP090549, Te Ikaamaru Bay, Wellington; b, c: WELT SP090545, Ngawi, Wairarapa; d: WELT SP090543, Stent Road, Taranaki; e: WELT SP090550, Ohau Bay, Wellington); f by J. M. Prebble (WELT SP090543, cultivated ex Stent Road, Taranaki).
ScienceDex guides
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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.