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5,538 results for “Population data”
Data from: Climate change and functional traits affect population dynamics of a long-lived seabird
1. Recent studies unravelled the effect of climate changes on populations through their impact on functional traits and demographic rates in terrestrial and freshwater ecosystems, but such understanding in marine ecosystems remains incomplete. 2. Here, we evaluate the impact of the combined effects of climate and functional traits on population dynamics of a long-lived migratory seabird breeding in the southern ocean: the black-browed albatross (Thalassarche melanophris, BBA). We address the following prospective question: ''Of all the changes in the climate and functional traits, which would produce the biggest impact on the BBA population growth rate?'' 3. We develop a structured matrix population model that includes the effect of climate and functional traits on the complete BBA life cycle. A detailed sensitivity analysis is conducted to understand the main pathway by which climate and functional trait changes affect the population growth rate. 4. The population growth rate of BBA is driven by the combined effects of climate over various seasons and multiple functional traits with carry-over effects across seasons on demographic processes. Changes in Sea Surface Temperature (SST) during late winter cause the biggest changes in the population growth rate, through their effect on juvenile survival. Adults appeared to respond to changes in winter climate conditions by adapting their migratory schedule rather than by modifying their at-sea foraging activity. However, the sensitivity of the population growth rate to SST affecting BBA migratory schedule is small. BBA foraging activity during the pre-breeding period has the biggest impact on population growth rate among functional traits. Finally, changes in SST during the breeding season have little effect on the population growth rate. 5. These results highlight the importance of early life histories and carry-over effects of climate and functional traits on demographic rates across multiple seasons in population response to climate change. Robust conclusions about the roles of various phases of the life cycle and functional traits in population response to climate change rely on an understanding of the relationships of traits to demographic rates across the complete life cycle.
Supplementary Material for Frontiers Plant Genetics and Genomics 'Novel R tools for analysis of genome-wide population genetic data with emphasis on clonality'
<p>Authors</p> <p>Zhian N. Kamvar, Jonah C. Brooks, and Niklaus J. Grünwald</p>
Lifespan Data for: Genetic dissection of nutrition-induced plasticity in insulin/insulin-like growth factor signaling and median lifespan in a Drosophila multiparent population
<p>Daily mortality records. Columns are:</p> <p>setDate: date vial was set up</p> <p>flipDate: date flies moved to new food and mortality recorded</p> <p>Age: age in days of flies (from set up date)</p> <p>RIL: DSPR recombinant inbred line ID</p> <p>rilid: alternate id</p> <p>replicate: replicate id</p> <p>riltreat: unique RIL, treatment identifier</p> <p>Dead: # dead</p> <p>Censored: # escaped or inadvertently killed individuals </p> <p>Carried: # dead flies inadvertently moved to fresh food</p>
Figure 3. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 3. - TW18: T.lobata, female, Isle of Wight
Replication data for Anterior Cruciate Ligament Injury: identifying information sources and risk factor awareness among the general population
<p>Creating awareness about a disorder is important for prevention from the perspective of public health. However, for sports injuries, like the anterior cruciate ligament (ACL) injury, there is no study which has investigated the awareness of risk factors for the injury and prevention methods among the general population, to the best of our knowledge. The sources of information among the population are also unclear. The purpose of present study was to identify these aspects of public awareness about the ACL injury.</p> <p>A questionnaire was randomly distributed among the general population registered with a web based questionnaire supplier, to recruit 900 participants who were aware about the ACL injury. The questionnaire consisted of two parts: Question 1 asked them about their sources of information regarding the ACL injury; Question 2 asked them about the risk factors for ACL injury. Multivariate logistic regression was used to determine the information sources that provide a good understanding of the risk factors.</p> <p>The leading source of information for ACL injury was television (57.0%). However, the results of logistic regression analysis revealed that television was not an effective medium to create awareness about the risk factors, among the general population. Instead “Lecture by a coach”, “Classroom session on Health”, and “Newspaper” were significantly effective in creating a good awareness of the risk factors (p < 0.001).</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Lithuania
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_LT - State Food and Veterinary Service (SFVS)</li> <li>ASF2023_POP_EXTRACTION_LT - State Food and Veterinary Service (SFVS)</li> <li>ASF2022_POP_EXTRACTION_LT - State Food and Veterinary Service (SFVS)*</li> <li>ASF2022_POP_EXTRACTION_LT - State Food and Veterinary Service (SFVS)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Slovakia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_SK - State Veterinary and Food Institute (SVPU)</li> <li>ASF2023_POP_EXTRACTION_SK - State Veterinary and Food Institute (SVPU)</li> <li>ASF2022_POP_EXTRACTION_SK - State Veterinary and Food Institute (SVPU)*</li> <li>ASF2022_POP_EXTRACTION_SK - State Veterinary and Food Institute (SVPU)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Latvia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_LV - Agricultural Data Centre (LDC)</li> <li>ASF2023_POP_EXTRACTION_LV - Agricultural Data Centre (LDC)</li> <li>ASF2022_POP_EXTRACTION_LV - Agricultural Data Centre (LDC)*</li> <li>ASF2022_POP_EXTRACTION_LV - Agricultural Data Centre (LDC)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Italy
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2023_POP_EXTRACTION_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> <li>ASF2022_POP_EXTRACTION_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)*</li> <li>ASF2022_POP_EXTRACTION_IT - Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise (IZSAM)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Estonia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_EE - Agricultural Registers and Information Board (ARIB)</li> <li>ASF2023_POP_EXTRACTION_EE - Agricultural Registers and Information Board (ARIB)</li> <li>ASF2022_POP_EXTRACTION_EE - Agricultural Registers and Information Board (ARIB)*</li> <li>ASF2022_POP_EXTRACTION_EE - Agricultural Registers and Information Board (ARIB)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Romania
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> <li>ASF2023_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> <li>ASF2022_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)*</li> <li>ASF2022_POP_EXTRACTION_RO - National Sanitary Veterinary and Food Safety Authority (ANSVSA)</li> </ul> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - North Macedonia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> <li>ASF2023_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> <li>ASF2022_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)*</li> <li>ASF2022_POP_EXTRACTION_MK - Food and Veterinary Agency (FVA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p> <p> </p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Greece
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_GR - Hellenic Ministry of Rural Development and Food (MINAGRIC)</li> <li>ASF2023_POP_EXTRACTION_GR - Hellenic Ministry of Rural Development and Food (MINAGRIC)</li> </ul>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Poland
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> <li>ASF2023_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> <li>ASF2022_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)*</li> <li>ASF2022_POP_EXTRACTION_PL - Agency for Restructuring and Modernisation of Agriculture (ARMA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Czechia
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> <li>ASF2023_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> <li>ASF2022_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)*</li> <li>ASF2022_POP_EXTRACTION_CZ - State Veterinary Administration (SVA)</li> </ul> <p> </p> <p> </p> <p>*This version of the animal population data has been republished with the establishment and subnit identification code (estabId, subUnitId) columns empty due to data protection reasons</p>
Data from: Effective population size of Culex quinquefasciatus under insecticide-based vector management and following Hurricane Harvey in Harris County, Texas
<div> <em>Culex quinquefasciatus</em> is mosquito species of significant public health importance due to its ability to transmit multiple pathogens that can cause mosquito-borne diseases, such as West Nile fever and St. Louis encephalitis. In Harris County, Texas, <em>Cx. quinquefasciatus</em> is a common vector species and is subjected to insecticide-based management by the Harris County Public Health Department. However, insecticide resistance in mosquitoes has increased rapidly worldwide and raises concerns about maintaining the effectiveness of vector control approaches. This concern is highly relevant in Texas, with its humid subtropical climate along the Gulf Coast that provides suitable habitat for <em>Cx. quinquefasciatus</em> and other mosquito species that are known disease vectors. Therefore, there is an urgent and ongoing need to monitor the effectiveness of current vector control programs. In this study, we evaluated the impact of vector control approaches by estimating the effective population size of <em>Cx. quinquefasciatus</em> in Harris County. We applied Approximate Bayesian Computation to microsatellite data to estimate effective population size. We collected <em>Cx. quinquefasciatus</em> samples from two mosquito control operation areas, 415 and 802, during routine vector monitoring in 2016 and 2017. No county mosquito control operations were applied at area 415 in 2016 and 2017, whereas extensive adulticide spraying operations were in effect at area 802 during the summer of 2016. We collected data for eighteen microsatellite markers for 713 and 723 mosquitoes at eight timepoints from 2016 to 2017 in areas 415 and 802, respectively. We also investigated the impact of Hurricane Harvey's landfall in the Houston area in August of 2017 on <em>Cx. quinquefasciatus</em> population fluctuation. Although we did not detect significant effects of vector control interventions, we found considerable influences of the winter season and a major hurricane on the effective population size of <em>Cx. quinquefasciatus</em>. The fluctuations in effective population size in both areas showed a significant seasonal pattern. Additionally, the significant population expansion following Hurricane Harvey in 2017 supports the necessity for post-hurricane vector-control interventions.</div>
Code and data for: Shining a light on elusive lynx: density estimation of three Eurasian lynx populations in Ukraine and Belarus
<p class="MsoNormal"><span>The Eurasian lynx is a large carnivore widely distributed across Eurasia. However, our understanding of population status is heterogeneous across their range, with some populations isolated that are at risk of reduced genetic variation and a complete lack of information about others. In many European countries, Eurasian lynx are monitored through demographic studies crucial for their conservation and management. Even so, there are only rough and fragmented population assessments from Ukraine and Belarus, despite strict protection in both countries and their importance for lynx connectivity across Europe. We monitored lynx from October 2020 to March 2021 and used camera-trapping in combination with spatial capture-recapture (SCR) methods in a Bayesian Framework to provide the first SCR density estimation of three lynx populations across Ukraine and Belarus, including the Ukrainian Chornobyl Exclusion Zone, Southern Belarus, and the Ukrainian Carpathians. Our density estimates varied within our study areas ranging from 0.45 to 1.54 individuals/100 km<sup>2</sup>. This work</span><span> <span>provides a substantial scientific component to the overall understanding of lynx conservation for a region where only broad information is available </span></span><span>and opens the doors for further large-scale monitoring and trend assessments. </span><span>The crucial information we provide can greatly enhance the range-wide assessments of the status of this protected species. We also discuss the implications for Eurasian lynx conservation, despite the geopolitical realities impacting species monitoring in the region. Our work serves as a baseline, not only for future conservation interventions but also to evaluate the effects of disturbance and threats to these protected populations.</span></p>
Data and code from: Disentangling the drivers of decadal body size decline in an insect population
<p>While climate warming is widely predicted to reduce body size of ectotherms, evidence for this trend is mixed. Body size depends not only on temperature but also on other factors, such as food quality and intraspecific competition. Because temperature trends or other long-term environmental factors may affect population size and food sources, attributing trends in average body size to temperature requires the separation of potentially confounding effects. We evaluated trends in the body size of the midge <em>Tanytarsus gracilentus</em> and potential drivers (water temperature, population size, and food quality) between 1977 and 2015 at Lake Mývatn, Iceland. Although temperatures increased at Mývatn over this period, there was only a slight (non-significant) decrease in midge adult body size, contrary to theoretical expectations. Using a state-space model including multiple predictors, body size was negatively associated with both water temperature and midge population abundance, and it was positively associated with <sup>13</sup>C enrichment of midges (an indicator of favorable food conditions). The magnitude of these effects were similar, such that simultaneous changes in temperature, abundance, and carbon stable isotopic signature could counteract each other in the long-term body size trend. Our results illustrate how multiple factors, all of which could be influenced by global change, interact to affect average ectotherm body size.</p>
Data from: Relict stands of Central European oaks: unravelling autochthony and genetic structure based on a multi-population study
<p><span>Central European white oaks expanded rapidly after the last glacial period and reached their current distribution range during the early Holocene. They have been an important resource of timber, fuelwood and animal feed for humans, who actively promoted their presence in forests and other landscape types at least since the early historical times. Besides stands with intensive management, putatively relict populations of three native oak species can be found on unproductive sites with restricted accessibility. Here, we apply chloroplast and nuclear microsatellite markers in order to address the autochthony of relict and managed stands and compare the spatial distribution of genetic variation between them. Based on data from more than 150 populations, we demonstrate that oak autochthony was preserved throughout historical times which is likely the result of traditional silvicultural treatment. This is supported by the fact that the spatial pattern of chloroplast haplotype distribution still reflects the post-glacial recolonization in both relict and old managed stands. We observed significant admixture of haplotypes only in stands established after the Second World War, which is attributable to the transfer of reproductive material used for afforestation. In terms of nuclear genetic variation, we observed marked differences among species. <em>Quercus</em> <em>pubescens</em> exhibited a pronounced genetic structure. Genetic drift and limited gene flow among its small and isolated populations in our study area might have contributed to this pattern. Varying extent of genetic introgression with other sympatric oak species could offer an additional explanation. On the contrary, the gene pools of <em>Q. petraea </em>and<em> Q. robur</em> are highly homogenous, displaying only weak isolation-by-distance. We found no significant differences of genetic diversity and differentiation between relict and managed stands. This suggests that seed transfer mostly occurred within our study area, even in those stands established in post-war times, verifying previous findings that point out limited human interference. We recommend consideration of population genetic structure for gene conservation, with a finer resolution of gene conservation units needed for <em>Q. pubescens </em>due to its spatial genetic structure. Both relict and old managed stands, species-pure or mixed, are suitable for conservation, as they host autochthonous gene pools. Coppice-with-standard management could contribute to preservation of autochthony. In the face of climate change, it is also important to maintain the evolutionary potential of the stands, by facilitating generative reproduction and allowing for hybridization in mixed stands.</span></p>
Data from: Prioritizing global land protection for population persistence can double the efficiency of habitat protection for reducing mammal extinction risk
<p>Halting the alarming rate of species extinction, driven primarily by habitat destruction, motivated the international community to adopt (2022) the Global Biodiversity Framework and it’s 23 targets aimed at reversing habitat and species loss. Due to urgency and resource constraints, a key challenge is meeting targets effectively and efficiently. Here we conduct a global prioritization linking 70,492 unique population maps and life history characteristics for 861 threatened terrestrial mammal species. Incorporating individual population data boosted viability for 84% more populations compared to using a more typical approach that uses species distributions alone, nearly doubling the security of long-term species persistence. We map and rank global mammal persistence priority areas and assess how well the current protected areas (PA) system captures these important regions. Our results will provide conservation actors a more direct and quantifiable linkage between conservation action and extinction risk than has previously been possible at a global scale.</p>
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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.