94 datasets found
  1. Global population 1800-2100, by continent

    • statista.com
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    Statista, Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  2. Population of northwest Europe's largest cities 1500-1800

    • statista.com
    Updated Dec 31, 2006
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    Statista (2006). Population of northwest Europe's largest cities 1500-1800 [Dataset]. https://www.statista.com/statistics/1281986/population-northwest-europe-largest-cities-historical/
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    Dataset updated
    Dec 31, 2006
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France, England
    Description

    Between 1500 and 1800, London grew to be the largest city in Western Europe, with its population growing almost 22 times larger in this period. London would eventually overtake Constantinople as Europe's largest in the 1700s, before becoming the largest city in the world (ahead of Beijing) in the early-1800s.

    The most populous cities in this period were the capitals of European empires, with Paris, Amsterdam, and Vienna growing to become the largest cities, alongside the likes of Lisbon and Madrid in Iberia, and Naples or Venice in Italy. Many of northwestern Europe's largest cities in 1500 would eventually be overtaken by others not shown here, such as the port cities of Hamburg, Marseilles or Rotterdam, or more industrial cities such as Berlin, Birmingham, and Munich.

  3. Population size and growth rates in Western Europe 0-1998

    • statista.com
    Updated Apr 14, 2022
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    Statista (2022). Population size and growth rates in Western Europe 0-1998 [Dataset]. https://www.statista.com/statistics/1303831/western-europe-population-development-historical/
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    Dataset updated
    Apr 14, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    Throughout the Common Era, Western Europe's population development fluctuated greatly. The population was very similar at the beginning and end of the first millennium, at around 25 million people. The largest decline in this period occurred in the sixth century, due to the Plague of Justinian, which the source claims to have killed around one third of the continent's population (although recent studies dispute this). Similarly, the population fell by almost 17 million throughout the 14th century, due to the Black Death.

    Improvements in agriculture and infrastructure then saw population growth increase once more from the 15th century onwards, before the onset of the demographic transition saw a population boom throughout the 19th and 20th centuries.

  4. Global population distribution 1800-2100, by continent

    • statista.com
    Updated Jul 15, 2022
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    Statista (2022). Global population distribution 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/1306046/world-population-distribution-by-continent-historical/
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    Dataset updated
    Jul 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Between 1800 and 2021, the total population of each continent experienced consistent growth, however as growth rates varied by region, population distribution has fluctuated. In the early 19th century, almost 70 percent of the world's population lived in Asia, while fewer than 10 percent lived in Africa. By the end of this century, it is believed that Asia's share will fall to roughly 45 percent, while Africa's will be on course to reach 40 percent. 19th and 20th centuries Fewer than 2.5 percent of the world's population lived in the Americas in 1800, however the demographic transition, along with waves of migration, would see this share rise to almost 10 percent a century later, peaking at almost 14 percent in the 1960s. Europe's share of the global population also grew in the 19th century, to roughly a quarter in 1900, but fell thereafter and saw the largest relative decline during the 20th century. Asia, which has consistently been the world's most populous continent, saw its population share drop by the mid-1900s, but it has been around 60 percent since the 1970s. It is important to note that the world population has grown from approximately one to eight billion people between 1800 and the 2020s, and that declines in population distribution before 2020 have resulted from different growth rates across the continents. 21st century Africa's population share remained fairly constant throughout this time, fluctuating between 7.5 and 10 percent until the late-1900s, but it is set to see the largest change over the 21st century. As Europe's total population is now falling, and it is estimated that the total populations of Asia and the Americas will fall by the 2050s and 2070s respectively, rapid population growth in Africa will see a significant shift in population distribution. Africa's population is predicted to grow from 1.3 to 3.9 billion people over the next eight decades, and its share of the total population will rise to almost 40 percent. The only other continent whose population will still be growing at this time will be Oceania, although its share of the total population has never been more than 0.7 percent.

  5. Historical population of the continents 10,000BCE-2000CE

    • statista.com
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    Statista, Historical population of the continents 10,000BCE-2000CE [Dataset]. https://www.statista.com/statistics/1006557/global-population-per-continent-10000bce-2000ce/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

  6. Largest cities in western Europe 1800

    • statista.com
    Updated Mar 1, 1992
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    Statista (1992). Largest cities in western Europe 1800 [Dataset]. https://www.statista.com/statistics/1022001/thirty-largest-cities-western-europe-1800/
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    Dataset updated
    Mar 1, 1992
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1800
    Area covered
    Europe
    Description

    By 1800, London had grown to be the largest city in Western Europe with just under one million inhabitants. Paris was now the second largest city, with over half a million people, and Naples was the third largest city with 450 thousand people. The only other cities with over two hundred thousand inhabitants at this time were Vienna, Amsterdam and Dublin. Another noticeable development is the inclusion of many more northern cities from a wider variety of countries. The dominance of cities from France and Mediterranean countries was no longer the case, and the dispersal of European populations in 1800 was much closer to how it is today, more than two centuries later.

  7. f

    Demographic History of European Populations of Arabidopsis thaliana

    • figshare.com
    pdf
    Updated May 30, 2023
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    Olivier François; Michael G. B. Blum; Mattias Jakobsson; Noah A. Rosenberg (2023). Demographic History of European Populations of Arabidopsis thaliana [Dataset]. http://doi.org/10.1371/journal.pgen.1000075
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS Genetics
    Authors
    Olivier François; Michael G. B. Blum; Mattias Jakobsson; Noah A. Rosenberg
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The model plant species Arabidopsis thaliana is successful at colonizing land that has recently undergone human-mediated disturbance. To investigate the prehistoric spread of A. thaliana, we applied approximate Bayesian computation and explicit spatial modeling to 76 European accessions sequenced at 876 nuclear loci. We find evidence that a major migration wave occurred from east to west, affecting most of the sampled individuals. The longitudinal gradient appears to result from the plant having spread in Europe from the east ∼10,000 years ago, with a rate of westward spread of ∼0.9 km/year. This wave-of-advance model is consistent with a natural colonization from an eastern glacial refugium that overwhelmed ancient western lineages. However, the speed and time frame of the model also suggest that the migration of A. thaliana into Europe may have accompanied the spread of agriculture during the Neolithic transition.

  8. w

    Dataset of books called Population movements in modern European history

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Population movements in modern European history [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Population+movements+in+modern+European+history
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Population movements in modern European history. It features 7 columns including author, publication date, language, and book publisher.

  9. s

    Sovereign States, Europe, Year 1800

    • searchworks.stanford.edu
    zip
    Updated Mar 23, 2010
    + more versions
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    (2010). Sovereign States, Europe, Year 1800 [Dataset]. https://searchworks.stanford.edu/view/km187qq6191
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    zipAvailable download formats
    Dataset updated
    Mar 23, 2010
    Area covered
    Europe
    Description

    This shapefile represents sovereign states of Europe for the year 1800. Sovereign states are considered as sovereign or independent states all entities fulfilling the following conditions: a) a territory covering a geographic area, b) an own population, c) an authority ruling the territory and the population, d) this authority is sovereign, i.e. not subject to any other power or state. This layer is part of the Euratlas Georeferenced Vector Data collection that is composed of 21 maps, one for each century from year 1 to year 2000. These maps depict the detailed political situation of Europe at the first day of each centennial year C.E. from year 1 to 2000. Each map is composed of two kinds of layers: physical features layers, such as seas and rivers, and political features layers, such as states and cities. Some layers also cover adjacent portions of North Africa and the Middle East.

  10. n

    Data from: Population history explains the performance of an annual herb -...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Nov 20, 2019
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    Jan Douda; Jana Doudová; Eva Hodková; Petr Vít; Karol Krak; Bohumil Mandák (2019). Population history explains the performance of an annual herb - within and beyond its European species range [Dataset]. http://doi.org/10.5061/dryad.47d7wm38h
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    zipAvailable download formats
    Dataset updated
    Nov 20, 2019
    Dataset provided by
    Czech University of Life Sciences Prague
    Authors
    Jan Douda; Jana Doudová; Eva Hodková; Petr Vít; Karol Krak; Bohumil Mandák
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description
    1. The centre-periphery hypothesis (CPH) predicts a decrease in population performance from the centre of the species range towards the edge, hindering further species expansion. To overcome ecological limitation, local adaptation of peripheral populations is assumed necessary to extend niche space and thus to potentially facilitate species’ range expansion. However, adaptive changes do not necessarily correspond to current ecological marginality. Instead, population history may provide a fuller context for understanding patterns of local adaptation within the species range. Here, we test whether local adaptation to current conditions or population history explains current species distribution in an annual heterocarpic species, Atriplex tatarica, in Europe.
    2. The ecological marginality and population history were estimated using species distribution modelling (SDM) and 13 microsatellite markers. To test for local adaptation, we evaluated the population performance of both currently central and currently peripheral populations by examining germination and growth traits under three temperature regimes which correspond to climates within, and also beyond, the species’ current range. In addition, we compared Bayesian estimates of population differentiation in neutral genetic markers and quantitative traits to test whether phenotypic differentiation evolved by local adaptation and/or by genetic drift.
    3. We found population performances were not higher under temperature regimes corresponding to their own habitats, suggesting that patterns of local adaptation in A. tatarica do not correspond to current centre-periphery gradient. In contrast, population genetic structure indicated a strong influence of population history on variation in the germination phenotype. Species distribution modelling suggested a more cold-tolerant genetic lineage was located at the species’ range periphery during the last glacial period. Meanwhile, a less cold-tolerant lineage occurred in more suitable areas of the Balkan Peninsula and southeastern Europe. Thus, the strong adaptive divergence of evolutionary lineages may reflect a past spatial arrangement of populations, suggesting evolutionary processes were ongoing before the species expansion in the Holocene.
    4. Synthesis. There is continuing debate concerning the speed of trait evolution during range expansion with climate change. Our results indicate that even though organisms expand rapidly, the accompanying evolutionary changes in phenotype may be much slower.
  11. u

    United States annual state-level population estimates from colonization to...

    • agdatacommons.nal.usda.gov
    • data.wu.ac.at
    bin
    Updated Nov 24, 2025
    + more versions
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    David P. Coulson; Linda A. Joyce (2025). United States annual state-level population estimates from colonization to 1999 [Dataset]. http://doi.org/10.2737/RDS-2017-0017
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    binAvailable download formats
    Dataset updated
    Nov 24, 2025
    Dataset provided by
    Forest Service Research Data Archive
    Authors
    David P. Coulson; Linda A. Joyce
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The U.S. landscape has undergone substantial changes since Europeans first arrived. Many land use changes are attributable to human activity. Historical data concerning these changes are frequently limited and often difficult to develop. Modeling historical land use changes may be necessary. We develop annual population series from first European settlement to 1999 for all 50 states and Washington D.C. for use in modeling land use trends. Extensive research went into developing the historical data. Linear interpolation was used to complete the series after critically evaluating the appropriateness of linear interpolation versus exponential interpolation.Our objective was to develop an annual population data series from the first nonindigenous settlements to 1999 for each present day state that could be used to model landscape change presumed to be a direct result of activities associated with the settlement of nonindigenous people.

  12. Population of Germany 1800-2020

    • monwebsite.ch
    Updated Nov 28, 2025
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    Statista (2025). Population of Germany 1800-2020 [Dataset]. https://www.monwebsite.ch/?p=2440734
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more. Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in t...

  13. e

    Labour history population last 4 years; region (classification 2024)

    • data.europa.eu
    atom feed, json
    Updated Dec 5, 2024
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    (2024). Labour history population last 4 years; region (classification 2024) [Dataset]. https://data.europa.eu/88u/dataset/52611-arbeidsverleden-bevolking-afgelopen-4-jaar-regio-indeling-2024-
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    atom feed, jsonAvailable download formats
    Dataset updated
    Dec 5, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains figures on the employment history of the Dutch population (aged 15 or over) in the past 4 years that were entered in the population register of a Dutch municipality on 31 December of the year under review. The employment history figures for the past 4 years are broken down into continuous, partial and non-employment and are based on a continuous work period of 4 years. Data on employment history are further disaggregated by gender, age and region. The regional data are based on the regional breakdown of 1 January 2024. Persons employed by international organisations are considered to be employed in the current table. This applies from the reference year 2011.

    Data available: 2004 to 2023

    Status of figures: The figures in this table are final, with the exception of the most recent reporting year 2023. The results in this table are presented according to the municipal classification of 1 January 2024.

    Changes as of 3 December 2024: None, this is a new table.

    When will there be new figures:
    The 2024 figures will appear in a new table with the 2025 regional breakdown at the end of 2025.

  14. C

    Increase / decrease in inhabitants per core 2000-2010 (history)

    • ckan.mobidatalab.eu
    zip
    Updated May 8, 2023
    + more versions
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    NationaalGeoregisterNL (2023). Increase / decrease in inhabitants per core 2000-2010 (history) [Dataset]. https://ckan.mobidatalab.eu/dataset/increase-decrease-inhabitants-per-core-2000-2010-history
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    zipAvailable download formats
    Dataset updated
    May 8, 2023
    Dataset provided by
    NationaalGeoregisterNL
    Description

    This file provides insight into where the population is shrinking in Drenthe and where (some) growth of the population is still occurring.

  15. d

    Data from: Demographic history has shaped the strongly differentiated...

    • datadryad.org
    • dataone.org
    zip
    Updated Jan 24, 2022
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    Morten Mattingsdal; Per Erik Jorde; Halvor Knutsen; Sissel Jentoft; Nils Christian Stenseth; Marte Sodeland; Joana I. Robalo; Michael M. Hansen; Carl André; Enrique Blanco Gonzalez (2022). Demographic history has shaped the strongly differentiated corkwing wrasse populations in Northern Europe [Dataset]. http://doi.org/10.5061/dryad.r4xgxd2f4
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    zipAvailable download formats
    Dataset updated
    Jan 24, 2022
    Dataset provided by
    Dryad
    Authors
    Morten Mattingsdal; Per Erik Jorde; Halvor Knutsen; Sissel Jentoft; Nils Christian Stenseth; Marte Sodeland; Joana I. Robalo; Michael M. Hansen; Carl André; Enrique Blanco Gonzalez
    Time period covered
    Jan 10, 2022
    Area covered
    Northern Europe
    Description

    freebayes - ALL.VAR - SNP dataset of the corkwing wrasse in Northern Europe

    Parameters:

    Q40 DP4_30 max_miss_5 AA MAC3 sort

    Southern population: EG*, AR*, TV*, GF*

    Western population: SM*, NH*, ST*

    British Isles population: ARD*

  16. Supplementary Material from Genetic structure and demographic history of...

    • rs.figshare.com
    txt
    Updated Apr 1, 2025
    + more versions
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    Kennedy Agwamba; Lydia Smith; Sofia Gabriel; Jeremy Searle; Michael Nachman (2025). Supplementary Material from Genetic structure and demographic history of house mice in Western Europe inferred using whole-genome sequences [Dataset]. http://doi.org/10.6084/m9.figshare.28660652.v1
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    txtAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Royal Societyhttp://royalsociety.org/
    Authors
    Kennedy Agwamba; Lydia Smith; Sofia Gabriel; Jeremy Searle; Michael Nachman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Western Europe
    Description

    filtered_merged_autosomes.snp

  17. D

    Demographic history of the trace metal hyperaccumulator Noccaea caerulescens...

    • datasetcatalog.nlm.nih.gov
    • search.dataone.org
    • +3more
    Updated Nov 29, 2016
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    Sirguey, Catherine; Pauwels, Maxime; Sterckeman, Thibault; Noret, Nausicaa; Gonneau, Cedric; Godé, Cécile; Frérot, Hélène (2016). Demographic history of the trace metal hyperaccumulator Noccaea caerulescens (J. Presl and C. Presl) F. K. Mey. in Western Europe [Dataset]. http://doi.org/10.5061/dryad.vs14m
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    Dataset updated
    Nov 29, 2016
    Authors
    Sirguey, Catherine; Pauwels, Maxime; Sterckeman, Thibault; Noret, Nausicaa; Gonneau, Cedric; Godé, Cécile; Frérot, Hélène
    Description

    Noccaea caerulescens (Brassicaceae) is a major pseudometallophyte model for the investigation of the genetics and evolution of metal hyperaccumulation in plants. We studied the population genetics and demographic history of this species to advance the understanding of among-population differences in metal hyperaccumulation and tolerance abilities. Sampling of seven to 30 plants was carried out in 62 sites in Western Europe. Genotyping was carried out using a combination of new chloroplast and nuclear neutral markers. A strong genetic structure was detected, allowing the definition of three genetic subunits. Subunits showed a good geographic coherence. Accordingly, distant metallicolous populations generally belonged to distinct subunits. Approximate Bayesian computation analysis of demographic scenarios among subunits further supported a primary isolation of populations from the southern Massif Central prior to last glacial maximum, whereas northern populations may have derived during postglacial recolonization events. Estimated divergence times among subunits were rather recent in comparison with the species history, but certainly before the establishment of anthropogenic metalliferous sites. Our results suggest that the large-scale genetic structure of N. caerulescens populations pre-existed to the local adaptation to metalliferous sites. The population structure of quantitative variation for metal-related adaptive traits must have established independently in isolated gene pools. However, features of the most divergent genetic unit (e.g. extreme levels of Cd accumulation observed in previous studies) question the putative relationships between adaptive evolution of metal-related traits and subunits isolation. Finally, admixture signals among distant metallicolous populations suggest a putative role of human activities in facilitating long-distance genetic exchanges.

  18. d

    Data from: Genetic structure and demographic history of house mice in...

    • datadryad.org
    • search.dataone.org
    zip
    Updated Mar 11, 2025
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    Kennedy Agwamba; Lydia Smith; Sofia Gabriel; Jeremy Searle; Michael Nachman (2025). Genetic structure and demographic history of house mice in Western Europe inferred using whole genome sequences [Dataset]. http://doi.org/10.5061/dryad.s1rn8pkgh
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    zipAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Dryad
    Authors
    Kennedy Agwamba; Lydia Smith; Sofia Gabriel; Jeremy Searle; Michael Nachman
    Time period covered
    Apr 2, 2024
    Area covered
    Western Europe
    Description

    Data from: Genetic structure and demographic history of house mice in Western Europe inferred using whole genome sequences

    https://doi.org/10.5061/dryad.s1rn8pkgh

    • ALL_Europe_unfiltered_merged_noAlloption.vcf.gz

    Unfiltered vcf of 59 wild-caught house mice from England, Scotland, Wales, Guernsey, northern France, Italy, Portugal, and Spain collected and deposited as prepared specimens in the University of Michigan, Museum of Zoology, and 24 wild-caught mice from southern France, Germany, and Iran from a previous publication (Harr et al. 2016). Sequences were aligned to the mouse reference genome (GRCm38/mm10, RefSeq: GCF_000001635.20). See Tables S1 and S2 of the associated manuscript for sample information, including sample locations and alignment statistics.

    Sharing/Access information

    The raw fastq files used to generate this data is accessible from:

    • NCBI SRA BioProject ID PRJNA1050608

    • ALL_Europe_83samples_filtered_merged_autosomes.recode.vcf.gz

    Filtered...

  19. H

    Data from: The Genetic Origin of the Indo-Europeans

    • dataverse.harvard.edu
    Updated Oct 27, 2024
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    Iosif Lazaridis; Nick Patterson; David Anthony; Leonid Vyazov; Ron Pinhasi; David Reich (2024). The Genetic Origin of the Indo-Europeans [Dataset]. http://doi.org/10.7910/DVN/QGNMRH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 27, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Iosif Lazaridis; Nick Patterson; David Anthony; Leonid Vyazov; Ron Pinhasi; David Reich
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Yamnaya archaeological complex appeared around 3300 BCE across the steppes north of the Black and Caspian Seas, and by 3000 BCE reached its maximal extent from Hungary in the west to Kazakhstan in the east. To localize Yamnaya origins among preceding Eneolithic people, we assembled ancient DNA from 428 individuals, demonstrating three genetic clines. A “Caucasus-Lower Volga” (CLV) Cline suffused with Caucasus hunter-gatherer ancestry extended between a Caucasus Neolithic southern end, and a northern end at Berezhnovka along the Lower Volga river. Bidirectional gene flow created intermediate populations, such as north Caucasus Maikop people, and those at Remontnoye on the steppe. The “Volga Cline” was formed as CLV people mixed with upriver populations of Eastern hunter-gatherer ancestry, creating hyper-variable groups as at Khvalynsk. The “Dnipro Cline” was formed as CLV people moved west, mixing with Ukraine Neolithic hunter-gatherers along the Dnipro river to establish Serednii Stih groups from whom Yamnaya ancestors formed around 4000 BCE and grew explosively after 3750-3350 BCE. CLV people contributed four-fifths of the ancestry of the Yamnaya, and, entering Anatolia likely from the east, at least a tenth of the ancestry of Bronze Age Central Anatolians, where Hittite was spoken. We thus propose that the final unity of the speakers of “Proto-Indo-Anatolian”, the language ancestral to both Anatolian and Indo-European, was among CLV people sometime between 4400-4000 BCE.

  20. d

    Data from: Modeling human population separation history using physically...

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
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    Updated Nov 4, 2017
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    Shiya Song; Elzbieta Sliwerska; Sarah Emery; Jeffrey M. Kidd (2017). Modeling human population separation history using physically phased genomes [Dataset]. http://doi.org/10.5061/dryad.r7fs8
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    zipAvailable download formats
    Dataset updated
    Nov 4, 2017
    Dataset provided by
    Dryad
    Authors
    Shiya Song; Elzbieta Sliwerska; Sarah Emery; Jeffrey M. Kidd
    Time period covered
    Nov 3, 2016
    Description

    Phased haplotpyes -- callable regionsThe .tar archive contains phasing information for each sample. The files *.mask.bed.gz, indicate the genomic regions for each sample deemed to be callable. Files are based on the GRCh37 reference genome assembly. This release contains phased data generated by Song et al. as well as reprocessing of previously published data (samples NA20847 (KITZMAN et al. 2011), HGDP01029 and HGDP00456 (MEYER et al. 2012)). Please see Song et al. 2016 for more information. The following files are included: HG02799.fosmid.phased.vcf.gz, HG02799.mask.bed.gz, HG03108.fosmid.phased.vcf.gz, HG03108.mask.bed.gz, HG03428.fosmid.phased.vcf.gz, HG03428.mask.bed.gz, HGDP00456.fosmid.phased.vcf.gz, HGDP00456.mask.bed.gz, HGDP01029.fosmid.phased.vcf.gz, HGDP01029.mask.bed.gz, NA12878.fosmid.phased.vcf.gz, NA12878.mask.bed.gz, NA19240.fosmid.phased.vcf.gz, NA19240.mask.bed.gz, NA20847.fosmid.phased.vcf.gz, NA20847.mask.bed.gz, NA21302.fosmid.phased.vcf.gz, NA21302.mask.bed.gz.c...

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Statista, Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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Global population 1800-2100, by continent

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

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