This dataset contains tables about the various changes in the population of the neighborhoods in the city, such as births, deaths, migration, settlement, departure and relocations.

Estimation of responses of organisms to their environment using experimental manipulations, and comparison of such responses across sets of species, is one of the primary tools in ecology research. The most common approach is to compare response of a single life stage of species to an environmental factor and use this information to draw conclusions about population dynamics of these species. Such approach ignores the fact that interspecific fitness differences measured at a single life stage are not directly comparable and cannot be extrapolated to lifetime fitness of individuals and thus species’ population dynamics. Comparison of one life stage only while omitting demographic information can strongly bias conclusions, both in experimental studies with a few species, and in large comparative studies. We illustrate the effect of this omission using both an exaggerated fictitious example, and biological data on congeneric species differing in their demography. We are showing, taking sim...

Narrow migration corridors known in diurnal, social migrants such as raptors, storks and geese are thought to be caused by topographical leading line effects in combination with learning detailed routes across generations. Here, we document narrow-front migration in a nocturnal, solitary migrant, the common cuckoo Cuculus canorus, using satellite telemetry. We tracked the migration of adult cuckoos from the breeding grounds in southern Scandinavia (n = 8), to wintering sites in south-western Central Africa (n = 6) and back to the breeding grounds (n = 3). Migration patterns were very complex; in addition to the breeding and wintering sites, six different stopover sites were identified during the 16,000 km annual route that formed a large-scale clockwise loop. Despite this complexity, individuals showed surprisingly similar migration patterns, with very little variation between routes. We compared observed tracks with simulated routes based on vector orientation (with and without effects of barriers on orientation and survival). Observed distances between routes were often significantly smaller than expected if the routes were established on the basis of an innate vector orientation programme. Average distance between individuals in eastern Sahel after having migrated more than 5,000 km for example, was merely 164 km. This implies that more sophisticated inherent guiding mechanisms, possibly involving elements of intermediate goal area navigation or more elaborate external cues, are necessary to explain the complex narrow-front migration pattern observed for the cuckoos in this study.

Loop-closed populations based on cavity-width.

The loop analysis of the two-type model.

a The center-of-mass distance between alpha carbons of four loop residues (100–103) and those of Tyr238 and Lys242, which reside on the opposite side of the binding groove, was used to define loop conformations: distance smaller than 0.9 nm, closed; larger than 1.05 nm, open; between 0.9 nm and 1.05 nm, intermediate.b Only monomers with the mobile loop initially closed are considered.

HCP M60 Session 1 Right Hemisphere

Collection description

***PLEASE READ OUR PUBLISHED PAPER CAREFULLY AND ENSURE YOU UNDERSTAND THESE IMAGES BEFORE USING ANY OF THIS INFORMATION CLINICALLY. WE CAN BE CONTACTED FOR CLARIFICATIONS.***

This collection contains images of the outer loop, and partial middle loop, of the optic radiation. These are population averages, displayed as percentages of participants, as single subject maps cannot be released for privacy reasons.

Please read our paper for how these images were generated. In brief, the CONSULT system created binarised tractography for each subject. We take the average of these binary maps *in MNI space* to create the images appearing here. and multiply the result by 100. The MNI template used is attached.

Data are from multiple sources and filed as they appear in the paper. These sources are:
1) HCP-*: Human Connectome Project data. These data were modified from their originals to test CONSULT using different quality data. Raw HCP data can be downloaded from the HCP website.
2) Hospital-*: Data acquired by us on two hospital campuses. Some of these data are from neurosurgical patients. Three different scanners and acquisition protocols were used.
3) MASSIVE-*: Data from the MASSIVE dataset. These data were modified from their originals to test CONSULT using different quality data. The original data can be downloaded from the MASSIVE website.

Subject species

homo sapiens

Modality

Diffusion MRI

Analysis level

group

Cognitive paradigm (task)

None / Other

Map type

Other

d-loop sequence

Small isolated populations are vulnerable to both stochastic events and the negative consequences of genetic drift. For threatened species, the genetic management of such populations has therefore become a crucial aspect of conservation. Flying foxes (Pteropus spp, Chiroptera) are keystone species with essential roles in pollination and seed dispersal in tropical and subtropical ecosystems. However, many flying fox species are also threatened, having experienced dramatic population declines driven by habitat loss and hunting. The insular Ryukyu flying fox (Pteropus dasymallus) ranges from the Ryukyu Archipelago of Japan through Taiwan to the northern Philippines and has undergone precipitous population crashes on several islands in recent decades. To assess the population genetic structure and diversity in P. dasymallus, and its likely causes, we analyzed mitochondrial and microsatellite DNA. Both markers showed significant genetic differentiation among most island populations, with mit...

Clonality is a widespread life history trait in flowering plants that may be essential for population persistence, especially in environments where sexual reproduction is unpredictable. Frequent clonal reproduction, however, could hinder sexual reproduction by spatially aggregating ramets that compete with seedlings and reduce inter-genet pollination. Nevertheless, the role of clonality in relation to variable sexual reproduction in population dynamics is often overlooked. We combined population matrix models and pollination experiments to compare the demographic contributions of clonal and sexual reproduction in three Dicentra canadensis populations, one in a well-forested landscape and two in isolated forest remnants. We constructed stage-based transition matrices from 3 years of census data to evaluate annual population growth rates, λ. We used loop analysis to evaluate the relative contribution of different reproductive pathways to λ. Despite strong temporal and spatial variation in...

Global-Positioning System (GPS) coordinates, population size estimated using Migrate-n analysis, the number of D-loop haplotypes of M. fuliginosus, and GenBank accession numbers of D-loop sequences.

Population growth in The Netherlands by birth, death and migration by sex and region. In addition to national data, information is presented by group of provinces, province, COROP region and municipality. The regional totals shown concern cumulated municipal data. Where changes of municipal boundaries transect regional boundaries, the municipal classifications concerns the most recent situation. The municipality of Vianen, for example, was annexed by the province of Utrecht on 1 January 2002, and is classified under the province of Utrecht in the Table. Data available from: 1942 Status of the figures: All data recorded in this publication are final data. Up to 1977 data may differ from other published data on StatLine. This is due to differences between the data files used by Statistics Netherlands and the official data as published in 'Loop van de bevolking per gemeente'. Changes as of 4 August 2023: Final figures of 2022 have been added. Changes as of 12 June 2023: The 2021 population density figures for all regions were incorrect due to the use of an incorrect data file. These figures have been corrected in this version of the table. When will new figures be published? In the 3rd quarter of 2024 figures of 2023 will be added in this table.

Description of the demographic loop analysis in Brachyrhaphis rhabdophora.

female reinf learn loop programProgram for section in the paper titled "Female learning model: Learning increases bias towards conspecifics and against heterospecifics"female reinf learn loop prog familiarityProgram for the section of the paper titled "Female learning model: Preference for familiar types"female reinf learn loop prog eigProgram for the female learning model that calculates the eigenvalues describing the rate of spread of an allele for assortative mating.male reinf learn loop programProgram for the section of the paper titled "Male learning model: Learning increases bias towards conspecifics and against heterospecifics I: Male learning from female identity"male reinf learn loop prog - corr pref strengthProgram for the section of the paper titled "Male learning model: Learning increases bias towards conspecifics and against heterospecifics II: learning is positively correlated with female preference strength"male reinf learn loop prog - female mat success prop to freqsProg...

Detecting recent demographic changes is a crucial component of species conservation and management, as many natural populations face declines due to anthropogenic habitat alteration and climate change. Genetic methods allow researchers to detect changes in effective population size (Ne) from sampling at a single timepoint. However, in species with long lifespans, there is a lag between the start of a decline in a population and the resulting decrease in genetic diversity. This lag slows the rate at which diversity is lost, and therefore makes it difficult to detect recent declines using genetic data. However, the genomes of old individuals can provide a window into the past, and can be compared to those of younger individuals, a contrast that may help reveal recent demographic declines. To test whether comparing the genomes of young and old individuals can help infer recent demographic bottlenecks, we use forward-time, individual-based simulations with varying mean individual lifespans ..., All data for this publication were generated via evolutionary simulations in SLiM. Here, we archive all scripts necesarily to generate, analyze, and visualize the results presented in Clark et al. 2024. First, we performed simulations in SLiM using a perennial and annual model for a variety of average lifespans (for the perennial model), and bottleneck severities. The output of these simulations is (1) a .tree file contain the geneological history of the population, from which we will extract information about genetic diversity, (2) individual-based metadata for all individuls alive during the simulation sampling time: the generation number, individual pedigree id and the individual's age, (3) Census population size information about the population at each generation in the sampling period. Second, we used tskit, msprime, and pyslim to load and process .tree files as tree sequences. We then loop through focal sampling points in the tree sequence, and sampling individuals to perform a..., , # Pitfalls and windfalls of detecting demographic declines using population genetics in long-lived species

https://doi.org/10.5061/dryad.w0vt4b91p

This repository details the generation and analysis of simulated data for exploring the application of age-aware sampling to detecting demographic declines. There is no empirical data associated with this study, but simulated datafiles are uploaded and detailed below. All code required to reproduce analyses in the paper are below. Please reach out to Meaghan with questions at meaghaniclark (at) gmail.com.

Data

pWF_slim_output.tar.gz
nWF_slim_output_2.tar.gz
nWF_slim_output_5.tar.gz
nWF_slim_output_10.tar.gz
nWF_slim_output_20.tar.gz

These directories contain simulated data output from slim. Perennial model outputs ("nWF") are split by average age. File names denote the average age, bottleneck severity, and replicate number in that order for the...

The global hearing loop market is projected to reach a value of USD 0.61 billion by 2033, with a CAGR of 7.84% from 2025 to 2033. The market growth is primarily driven by the rising prevalence of hearing impairments and the increasing adoption of Assistive Listening Devices (ALDs) such as hearing loops. Additionally, government initiatives and advancements in technology, including the development of wireless and portable hearing loop systems, are contributing to the market expansion. Key market players such as Eargo Inc., Starkey Hearing Technologies, and Sonova Holding AG are investing in research and development to enhance the functionality and accessibility of hearing loops. The segment of individuals with hearing impairment is expected to hold the largest market share due to the increasing awareness and acceptance of hearing assistance devices. Furthermore, the growing geriatric population, which is more prone to hearing loss, is positively influencing the market demand. Despite the positive drivers, factors such as the high cost of installation and maintenance and the limited availability of qualified installers may restrain market growth to some extent. Recent developments include: , The Hearing Loop Market has seen significant developments recently, particularly as companies focus on enhancing their product offerings and expanding market reach. Eargo Inc. has introduced innovative hearing solutions emphasizing user-friendly designs, while Starkey Hearing Technologies is advancing its smart hearing devices with integrated health monitoring features. Companies like Sonova Holding AG and GN Store Nord A/S have been involved in partnerships aimed at integrating advanced sound technology into hearing solutions. Recent reports highlight Sonic Innovations and Advanced Bionics striving for growth through the introduction of new, enhanced hearing devices that meet consumer demands. WS Audiology and Demant A/S are navigating competitive pressures by exploring strategic collaborations. Amplifon S.p.A. has made strides in increasing market penetration through direct engagements with healthcare providers. Recent mergers and acquisitions include companies such as Cochlear Limited and Zounds Hearing exploring collaborative ventures to boost R&D capabilities. The overall market valuation continues to grow as these companies adapt to evolving consumer preferences while addressing market needs. Hearing Life, Microson, and Audicus are also positioning themselves competitively through innovative product development and improved customer services, ensuring the sector remains dynamic and responsive., Hearing Loop Market Segmentation Insights. Key drivers for this market are: Aging population growth, Increasing hearing loss awareness; Government funding for accessibility; Integration with smart technology; Expansion in public venues . Potential restraints include: a growing aging population, increasing hearing impairment prevalence; rising awareness of accessibility; technological advancements in hearing aids; government initiatives supporting hearing health .

GENERAL NOTES : The Territorial Population and Employment Data Matrix (TPEDM) is compiled by the Planning Department and updated regularly to tie in with the updated population projections of the Population Census. It provides estimated data on territorial distributions of population and employment in the future years for use as reference materials by government departments and stakeholders involved in the planning of developments and services. The 2021-based TPEDM was completed in 2024 by adopting the Census and Statistics Department's projections of territorial population released in August 2023 as the control totals. It includes the population and employment estimates for the base year (i.e. 2021) and the projections for two future years (i.e. 2026 and 2031). The population and employment data is presented in 18 District Council Districts and 5 Sub-regions as shown on Map 1 and Map 2. TPEDM was compiled using different assumptions regarding future territorial population, employment structure, economic growth as well as the planned and latest known development proposals of relevant Government departments, quasi-government bodies and the private sector. The assumptions on future development may be subject to change after the compilation. SPECIAL NOTES : Population Coverage The population of 2021-based TPEDM refers to land-based Hong Kong Resident Population (HKRP). HKRP comprises “Usual Residents” and “Mobile Residents”, and foreign domestic helpers are included. (a) “Usual Residents” refer to two categories of people: (i) Hong Kong Permanent Residents who have stayed in Hong Kong for at least 3 months during the 6 months before or for at least 3 months during the 6 months after the reference time-point, regardless of whether they are in Hong Kong or not at the reference time-point; and (ii) Hong Kong Non-permanent Residents who are in Hong Kong at the reference time-point. (b) For those Hong Kong Permanent Residents who are not “Usual Residents”, they are classified as “Mobile Residents” if they have stayed in Hong Kong for at least 1 month but less than 3 months during the 6 months before or for at least 1 month but less than 3 months during the 6 months after the reference time-point, regardless of whether they are in Hong Kong or not at the reference time-point. Geographical distribution of population is generally made on the basis of place of residence. Accordingly, population of a particular area is made up of persons who live there. Employment Coverage Employment refers to the total number of full or part time jobs with establishments in Hong Kong. Positions taken up by working proprietors, self-employed, temporary employees as well as foreign domestic helpers are included. Jobs with establishments outside Hong Kong are excluded. Employment is measured by the number of jobs held. Thus, a person holding more than one job will be counted separately. On the other hand, job vacancies are excluded. Geographical distribution of employment is generally made on the basis of place of jobs. Accordingly, employment of a particular area is made up of number of jobs there. Geographical Demarcation Systems This version of 2021-based TPEDM presents estimates and projections of population and employment distribution at two levels of a geographical demarcation system, namely District Council District (DCD) and Sub-region. District Council District (DCD)[1] At the DCD level, the data are grouped and presented in respect of 18 DCDs boundaries (see Map 1) to facilitate population and employment data extraction for land use and public facilities planning in District Council level. [1] The Loop Area is currently not included in a DCD, its figures are included in Yuen Long District. Sub-region The whole territory of Hong Kong can also be divided into five Sub-regions (see Map 2), namely Metro Area, Northwest New Territories (NWNT), Northeast New Territories (NENT), Southeast New Territories (SENT) and Southwest New Territories (SWNT). The multiple file formats are available for dataset download in API. DISCLAIMER Many detailed working assumptions are involved in compiling the 2021-based TPEDM, changes to which may yield very different results. Although the Planning Department has endeavoured to adopt the best assumptions and data sources available at the time of producing the 2021-based TPEDM, persons making reference to the data therein should decide on the applicability of the data to any specific purpose or use. The Government is not to be held liable for any consequences arising from using the data.

Admixture and reproductive skew shape the conservation value of ex situ populations of the Critically Endangered eastern black rhino - microsatellite and mitochondrial genotype data

https://doi.org/10.5061/dryad.69p8cz97p

Mitochondrial d-loop genotypes and microsatellite genotypes for two ex situ populations of the Critically Endangered eastern black rhino. These were used to reconstruct the pedigree of a free-living population and predict the effectiveness of different management strategies at preserving genetic diversity.

Description of the data and file structure

The first column carries the population identifier. The SAx population is freely mixing with natural mate choice and little intervention. Zoo animals are managed under the eastern black rhino EEP in European zoos. The next three columns include individual information. mtDNA haplotypes are included for all animals genotyped. Microsatellites genotypes are presented as two c...

Hearing Loop Finder App Market Outlook

According to our latest research, the global Hearing Loop Finder App market size stood at USD 185 million in 2024, reflecting a robust ecosystem driven by increased accessibility needs and digital transformation in assistive technologies. The market is projected to reach USD 615 million by 2033, growing at a remarkable CAGR of 14.2% during the forecast period. The primary growth factor is the rising awareness and adoption of hearing loop systems in public and private spaces, coupled with the proliferation of smartphones and digital platforms that facilitate real-time access to assistive listening information.

The Hearing Loop Finder App market is experiencing significant momentum due to the global push toward inclusivity and accessibility in public infrastructure. Governments and organizations are increasingly mandating the installation of hearing loops in venues such as theaters, transportation hubs, educational institutions, and healthcare facilities. This regulatory environment is fostering the development and adoption of dedicated apps that enable users to easily locate and access hearing loop-enabled locations. Furthermore, the growing aging population and the rising prevalence of hearing impairment worldwide are creating a larger user base for these apps, fueling sustained demand and innovation in the market.

Another critical growth factor is technological advancement in mobile app development and geolocation services. Modern Hearing Loop Finder Apps leverage advanced GPS, mapping, and real-time data integration to provide users with accurate, up-to-date information on nearby hearing loop-equipped venues. Integration with wearable devices and voice assistants is further enhancing the user experience, making these apps indispensable tools for individuals with hearing loss. The market is also benefiting from strategic collaborations between app developers, hearing aid manufacturers, and public venue operators, which are expanding the reach and functionality of these platforms.

Moreover, the increasing penetration of smartphones and internet connectivity, especially in emerging markets, is expanding the addressable market for Hearing Loop Finder Apps. As digital literacy improves and mobile devices become more affordable, a larger segment of the population can access these assistive solutions. The trend toward cloud-based deployment is also enabling real-time updates and scalability, ensuring that users always have the latest information at their fingertips. These factors, combined with heightened advocacy from disability rights organizations, are creating a conducive environment for sustained market growth through 2033.

Regionally, North America and Europe are leading the adoption curve, supported by robust regulatory frameworks and high public awareness of hearing accessibility. However, the Asia Pacific region is emerging as a significant growth frontier, driven by rapid urbanization, expanding healthcare infrastructure, and increasing government focus on disability inclusion. Latin America and the Middle East & Africa are also witnessing gradual adoption, primarily in urban centers and through international collaborations. The global landscape is thus characterized by a dynamic interplay of regulatory, technological, and demographic factors that are shaping the future of the Hearing Loop Finder App market.

Platform Analysis

The Platform segment within the Hearing Loop Finder App market is a critical determinant of user reach and engagement. The iOS platform, with its robust security features and seamless integration with Apple’s accessibility suite, has gained substantial traction among users who prioritize privacy and consistent user experience. Apple’s commitment to accessibility, coupled with the high penetration of iPhones in developed markets, has made iOS a preferred choice for both developers and end-users. The iOS segment is characterized by frequent updates, superior app optimization, and a loyal user

The adaptive potential of invasive species is thought to decrease during founding events due to reduced genetic diversity, limiting the new population's ability to colonize novel habitats. Barbary ground squirrels (Atlantoxerus getulus) were purportedly introduced as a single breeding pair to the island of Fuerteventura but have expanded to over a million individuals spread across the island in just over 50 years. We estimated the number of founders and measured the level of genetic diversity in this population using the mitochondrial displacement loop and microsatellite markers. Island samples (n = 19) showed no variation in the d-loop, suggesting a single founding female, while Moroccan samples (n = 6) each had unique mitochondrial haplotypes. The microsatellite data of the island population (n = 256 individuals) revealed a small effective population size, low levels of heterozygosity, and high levels of inbreeding, supporting a founding population size of two to three individuals. Our results suggest that A. getulus has undergone an intense genetic bottleneck during their colonization of the island. They are one of the few species where introduction effort does not explain invasion success, although further investigation may explain how they have avoided the worst expected effects following an extreme genetic bottleneck.