96 datasets found
  1. a

    Gauging Population Change-Copy

    • maps-cadoc.opendata.arcgis.com
    Updated Mar 3, 2022
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Mar 3, 2022
    Dataset authored and provided by
    mah0003
    Area covered
    Description

    This map shows population change from 2000 to 2010 by county, tract, and block group. Magenta symbols represent losses in population while blue symbols represent gains. At the national level, the map highlights growth patterns in the west coast, Texas, and the east coast in blue, and areas that have lost population, such as Detroit, New Orleans, and much of the Midwest, in magenta. Areas of larger growth and decline are represented with larger symbols. As you zoom into the map, you activate the gauge symbols. These show the degree of population increase or decrease. The white arrow points to the level of change (blue = increase, magenta = decrease). Click on any of the symbols to view a popup showing the count of population growth or decline, the percent change, and a bar chart comparing 2000 to 2010 population.Story map and layers are found in the Living Atlas.

  2. Population density in the U.S. 2023, by state

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

  3. New Zealand Population: SI: West Coast

    • ceicdata.com
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    CEICdata.com, New Zealand Population: SI: West Coast [Dataset]. https://www.ceicdata.com/en/new-zealand/population-by-region/population-si-west-coast
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2008 - Jun 1, 2019
    Area covered
    New Zealand
    Description

    New Zealand Population: SI: West Coast data was reported at 32,600.000 Person in 2019. This records an increase from the previous number of 32,500.000 Person for 2018. New Zealand Population: SI: West Coast data is updated yearly, averaging 32,500.000 Person from Jun 1996 (Median) to 2019, with 24 observations. The data reached an all-time high of 33,200.000 Person in 1996 and a record low of 31,100.000 Person in 2002. New Zealand Population: SI: West Coast data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.G003: Population: by Region.

  4. Eastern and Northern Bering Sea Sample Locations CURRENT

    • noaa.hub.arcgis.com
    Updated Apr 1, 2023
    + more versions
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    NOAA GeoPlatform (2023). Eastern and Northern Bering Sea Sample Locations CURRENT [Dataset]. https://noaa.hub.arcgis.com/maps/noaa::eastern-and-northern-bering-sea-sample-locations-current/about
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    Dataset updated
    Apr 1, 2023
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Bering Sea,
    Description

    NOAA Fisheries and its partners conduct fisheries-independent surveys in 8 regions in the US (Northeast, Southeast, Gulf of Mexico, West Coast, Gulf of Alaska, Bering Sea, Aleutian Islands, Hawai’i Islands). These surveys are designed to collect information on the seasonal distribution, relative abundance, and biodiversity of fish and invertebrate species found in U.S. waters. Over 900 species of fish and invertebrates have been identified in these surveys.

  5. 2017 09: Population Growth Variation across U.S. Counties

    • opendata.mtc.ca.gov
    Updated Sep 26, 2017
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    MTC/ABAG (2017). 2017 09: Population Growth Variation across U.S. Counties [Dataset]. https://opendata.mtc.ca.gov/documents/93a4d20c8ed84952a8a5ca805424d36b
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    Dataset updated
    Sep 26, 2017
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United States
    Description

    Since the turn of the century, the United States has undergone a redistribution of population from rural and rust belt counties to urban counties; particularly those along the Northern and Southern Atlantic Seaboard, the Pacific Coast and parts of the Southwest region. 41 percent or 1,295 counties had population declines from 2000 to 2016, with 15 counties experiencing declines of more than 25,000 people or 2.4 percent of the total population.Over the same period, total population for the nation grew by 42 million, 8 percent of which has migrated from declining rural and rust belt counties to growing urban counties along the East and West Coast, and in the Southwest, resulting in a 23 percent increase in population occurring in 60 percent of counties in the United States. The data indicates that the majority of this growth is occurring in just 12 percent of counties, including the San Francisco Bay Region which has experienced a 2.4 percent increase in population.

  6. Change in the regional distribution of the U.S. population from 1790-2021

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Change in the regional distribution of the U.S. population from 1790-2021 [Dataset]. https://www.statista.com/statistics/240766/regional-distribution-of-the-us-population/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the change in the regional distribution of the U.S. population each decade from 1790 to 2021. In 2021, 17.2 percent of the population in the United States lived in the Northeast.

  7. i

    DATRAS Scottish West Coast Groundfish Survey (SCOWCGFS)

    • gis.ices.dk
    Updated Sep 20, 2013
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    ICES (2013). DATRAS Scottish West Coast Groundfish Survey (SCOWCGFS) [Dataset]. https://gis.ices.dk/geonetwork/srv/api/records/9117de11-b7a8-447f-875d-bf3929b60547
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    www:link-1.0-http--link, www:link-1.0-http--relatedAvailable download formats
    Dataset updated
    Sep 20, 2013
    Dataset provided by
    ICES
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Area covered
    Description

    The dataset includes age- and length-based catch per unit effort data for commercial fish species collected during the Scottish West Coast Bottom Trawl Survey. This is a new survey from 2011, replacing the historical DATRAS SWC-IBTS dataset

  8. d

    Transient killer whale range - Satellite tagging of West Coast transient...

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated May 24, 2025
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    (Point of Contact, Custodian) (2025). Transient killer whale range - Satellite tagging of West Coast transient killer whales to determine range and movement patterns [Dataset]. https://catalog.data.gov/dataset/transient-killer-whale-range-satellite-tagging-of-west-coast-transient-killer-whales-to-determi2
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    Dataset updated
    May 24, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Description

    Transient killers whales inhabit the West Coast of the United States. Their range and movement patterns are difficult to ascertain, but are vital to understanding killer whale population dynamics and abundance trends. Satellite tagging of West Coast transient killer whales to determine range and movement patterns will provide data to assist in understanding transient killer whale populations. Locational data.

  9. f

    Large-Scale Genotyping-by-Sequencing Indicates High Levels of Gene Flow in...

    • plos.figshare.com
    • figshare.com
    tiff
    Updated May 31, 2023
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    Meredith V. Everett; Linda K. Park; Ewann A. Berntson; Anna E. Elz; Curt E. Whitmire; Aimee A. Keller; M. Elizabeth Clarke (2023). Large-Scale Genotyping-by-Sequencing Indicates High Levels of Gene Flow in the Deep-Sea Octocoral Swiftia simplex (Nutting 1909) on the West Coast of the United States [Dataset]. http://doi.org/10.1371/journal.pone.0165279
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Meredith V. Everett; Linda K. Park; Ewann A. Berntson; Anna E. Elz; Curt E. Whitmire; Aimee A. Keller; M. Elizabeth Clarke
    License

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

    Area covered
    West Coast of the United States
    Description

    Deep-sea corals are a critical component of habitat in the deep-sea, existing as regional hotspots for biodiversity, and are associated with increased assemblages of fish, including commercially important species. Because sampling these species is so difficult, little is known about the connectivity and life history of deep-sea octocoral populations. This study evaluates the genetic connectivity among 23 individuals of the deep-sea octocoral Swiftia simplex collected from Eastern Pacific waters along the west coast of the United States. We utilized high-throughput restriction-site associated DNA (RAD)-tag sequencing to develop the first molecular genetic resource for the deep-sea octocoral, Swiftia simplex. Using this technique we discovered thousands of putative genome-wide SNPs in this species, and after quality control, successfully genotyped 1,145 SNPs across individuals sampled from California to Washington. These SNPs were used to assess putative population structure across the region. A STRUCTURE analysis as well as a principal coordinates analysis both failed to detect any population differentiation across all geographic areas in these collections. Additionally, after assigning individuals to putative population groups geographically, no significant FST values could be detected (FST for the full data set 0.0056), and no significant isolation by distance could be detected (p = 0.999). Taken together, these results indicate a high degree of connectivity and potential panmixia in S. simplex along this portion of the continental shelf.

  10. Indicators 20240701

    • fisheries.noaa.gov
    • cloudcity.ogopendata.com
    • +1more
    esri rest service
    Updated Jul 1, 2024
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    NMFS Office of Science and Technology (2024). Indicators 20240701 [Dataset]. https://www.fisheries.noaa.gov/inport/item/73093
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    esri rest serviceAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Time period covered
    1974 - 2023
    Area covered
    Gulf of Alaska, Bering Sea, Earth, Hawaii Islands, Gulf of Mexico, West Coast, Aleutian Islands, United States, United States
    Description

    These files contain the key distribution metrics of center of gravity, range limits, and depth for each species in the portal. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.

  11. DisMAP Regions 20221201

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Dec 1, 2022
    + more versions
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    NMFS Office of Science and Technology (2022). DisMAP Regions 20221201 [Dataset]. https://www.fisheries.noaa.gov/inport/item/69024
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    Dataset updated
    Dec 1, 2022
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Area covered
    Description

    These files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 8 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Eastern Bering Sea, Aleutian Islands, Gulf of Alaska, and Hawai'i Islands.

  12. Population in China in 2023, by region

    • statista.com
    Updated Apr 14, 2025
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    Statista (2025). Population in China in 2023, by region [Dataset]. https://www.statista.com/statistics/279013/population-in-china-by-region/
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    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    In 2023, approximately 127.1 million people lived in Guangdong province in China. That same year, only about 3.65 million people lived in the sparsely populated highlands of Tibet. Regional differences in China China is the world’s most populous country, with an exceptional economic growth momentum. The country can be roughly divided into three regions: Western, Eastern, and Central China. Western China covers the most remote regions from the sea. It also has the highest proportion of minority population and the lowest levels of economic output. Eastern China, on the other hand, enjoys a high level of economic development and international corporations. Central China lags behind in comparison to the booming coastal regions. In order to accelerate the economic development of Western and Central Chinese regions, the PRC government has ramped up several incentive plans such as ‘Rise of Central China’ and ‘China Western Development’. Economic power of different provinces When observed individually, some provinces could stand an international comparison. Jiangxi province, for example, a medium-sized Chinese province, had a population size comparable to Argentina or Spain in 2023. That year, the GDP of Zhejiang, an eastern coastal province, even exceeded the economic output of the Netherlands. In terms of per capita annual income, the municipality of Shanghai reached a level close to that of the Czech Republik. Nevertheless, as shown by the Gini Index, China’s economic spur leaves millions of people in dust. Among the various kinds of economic inequality in China, regional or the so-called coast-inland disparity is one of the most significant. Posing as evidence for the rather large income gap in China, the poorest province Heilongjiang had a per capita income similar to that of Sri Lanka that year.

  13. d

    Data from: Population genomic analysis uncovers African and European...

    • datadryad.org
    zip
    Updated Mar 11, 2015
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    Joyce Y. Kao; Asif Zubair; Matthew P. Salomon; Sergey V. Nuzhdin; Daniel Campo (2015). Population genomic analysis uncovers African and European admixture in Drosophila melanogaster populations from the southeastern United States and Caribbean Islands [Dataset]. http://doi.org/10.5061/dryad.446sv
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    zipAvailable download formats
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Dryad
    Authors
    Joyce Y. Kao; Asif Zubair; Matthew P. Salomon; Sergey V. Nuzhdin; Daniel Campo
    Time period covered
    2015
    Area covered
    Caribbean, Southeastern United States, United States
    Description

    Drosophila melanogaster is postulated to have colonized North America in the past several 100 years in two waves. Flies from Europe colonized the east coast United States while flies from Africa inhabited the Caribbean, which if true, make the south-east US and Caribbean Islands a secondary contact zone for African and European D. melanogaster. This scenario has been proposed based on phenotypes and limited genetic data. In our study, we have sequenced individual whole genomes of flies from populations in the south-east US and Caribbean Islands and examined these populations in conjunction with population sequences from the west coast US, Africa, and Europe. We find that west coast US populations are closely related to the European population, likely reflecting a rapid westward expansion upon first settlements into North America. We also find genomic evidence of African and European admixture in south-east US and Caribbean populations, with a clinal pattern of decreasing proportions of ...

  14. a

    West Coast Triennial Sample Locations 20230401

    • noaa.hub.arcgis.com
    Updated Apr 1, 2023
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    NOAA GeoPlatform (2023). West Coast Triennial Sample Locations 20230401 [Dataset]. https://noaa.hub.arcgis.com/maps/west-coast-triennial-sample-locations-20230401
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    Dataset updated
    Apr 1, 2023
    Dataset authored and provided by
    NOAA GeoPlatform
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    NOAA Fisheries and its partners conduct fisheries-independent surveys in 8 regions in the US (Northeast, Southeast, Gulf of Mexico, West Coast, Gulf of Alaska, Bering Sea, Aleutian Islands, Hawai’i Islands). These surveys are designed to collect information on the seasonal distribution, relative abundance, and biodiversity of fish and invertebrate species found in U.S. waters. Over 900 species of fish and invertebrates have been identified in these surveys.

  15. d

    Biologically Important Areas for Cetaceans within U.S. Waters 2015-03-01 -...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 24, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). Biologically Important Areas for Cetaceans within U.S. Waters 2015-03-01 - Present [Dataset]. https://catalog.data.gov/dataset/biologically-important-areas-for-cetaceans-within-u-s-waters-2015-03-01-present1
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    Dataset updated
    May 24, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    United States
    Description

    The Cetacean Density and Distribution Mapping Working Group identified Biologically Important Areas (BIAs) for 24 cetacean species, stocks, or populations in seven regions (US East Coast, Gulf of Mexico, West Coast, Hawaiian Islands, Gulf of Alaska, Aleutian Islands and Bering Sea, and Arctic [encompassing the northeastern Chukchi and western Beaufort seas]) within US waters. BIAs are reproductive areas, feeding areas, migratory corridors, and areas in which small and resident populations are concentrated. BIAs are region-, species-, and time-specific. Information provided for each BIA includes the following: 1) a written narrative describing the information, assumptions, and logic used to delineate the BIA; 2) a map of the BIA; 3) a list of references used in the assessment; and 4) a metadata table that concisely details the type and quantity of information used to define a BIA, providing transparency in how BIAs were designated in a quick reference table format. BIAs were identified through an expert elicitation process. The delineation of BIAs does not have direct or immediate regulatory consequences. Rather, the BIA assessment is intended to provide the best available science to help inform regulatory and management decisions under existing authorities about some, though not all, important cetacean areas in order to minimize the impacts of anthropogenic activities on cetaceans and to achieve conservation and protection goals. In addition, the BIAs and associated information may be used to identify information gaps and prioritize future research and modeling efforts to better understand cetaceans, their habitat, and ecosystems.

  16. d

    Data from: West Africa Coastal Vulnerability Mapping: Population...

    • catalog.data.gov
    • earthdata.nasa.gov
    Updated Apr 24, 2025
    + more versions
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    SEDAC (2025). West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 [Dataset]. https://catalog.data.gov/dataset/west-africa-coastal-vulnerability-mapping-population-projections-2030-and-2050
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    SEDAC
    Area covered
    Africa, West Africa
    Description

    The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportUnities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.

  17. 新西兰 Population: SI: West Coast

    • ceicdata.com
    Updated Sep 15, 2023
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    CEICdata.com (2023). 新西兰 Population: SI: West Coast [Dataset]. https://www.ceicdata.com/zh-hans/new-zealand/population-by-region/population-si-west-coast
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2008 - Jun 1, 2019
    Area covered
    新西兰
    Description

    新西兰 Population: SI: West Coast在2019达32,600.000 人口,相较于2018的32,500.000 人口有所增长。新西兰 Population: SI: West Coast数据按每年更新,1996至2019期间平均值为32,500.000 人口,共24份观测结果。该数据的历史最高值出现于1996,达33,200.000 人口,而历史最低值则出现于2002,为31,100.000 人口。CEIC提供的新西兰 Population: SI: West Coast数据处于定期更新的状态,数据来源于Statistics New Zealand,数据归类于Global Database的新西兰 – Table NZ.G003: Population: by Region。

  18. Assembled file of spring annual averages of measures of total...

    • dataone.org
    Updated Jan 6, 2015
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    Mark Ohman (2015). Assembled file of spring annual averages of measures of total mesozooplankton organic biomass as carbon. Original data from the zooplankton dataspace. [Dataset]. http://doi.org/10.6073/AA/knb-lter-cce.170.3
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    Dataset updated
    Jan 6, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Mark Ohman
    Variables measured
    col_3203, col_3204, col_3205, col_3206
    Description

    No description is available. Visit https://dataone.org/datasets/doi%3A10.6073%2FAA%2Fknb-lter-cce.170.3 for complete metadata about this dataset.

  19. d

    Data from: Implications of acute temperature and salinity tolerance...

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Feb 23, 2021
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    Brianna Iwabuchi; Louis Gosselin (2021). Implications of acute temperature and salinity tolerance thresholds for the persistence of intertidal invertebrate populations experiencing climate change [Dataset]. http://doi.org/10.5061/dryad.x95x69pfm
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    zipAvailable download formats
    Dataset updated
    Feb 23, 2021
    Dataset provided by
    Dryad
    Authors
    Brianna Iwabuchi; Louis Gosselin
    Time period covered
    2020
    Description

    To predict whether populations of marine animals will persist in the face of changing climate conditions, it is informative to understand how past climate conditions have shaped present-day tolerance thresholds. We examined 4 species of intertidal invertebrates (Nucella lamellosa, Littorina scutulata, Littorina sitkana and Balanus glandula) inhabiting the coasts of Vancouver Island, Canada, where the east coast experiences historically warmer sea surface temperature (SST), warmer low tide (i.e. emersion) rock surface temperature (RST), and lower sea surface salinity (SSS) than the west coast. To determine if east coast populations have higher tolerance thresholds to acute stress than west coast populations, animals from 3 sites per coast were exposed to stressful temperatures and salinities in common garden experiments. Emersion temperature tolerance differed between populations only in N. lamellosa and B. glandula, tolerance thresholds being 1.4-1.5 °C higher on the east coast. Water t...

  20. f

    Life in a rock pool: Radiation and population genetics of myxozoan parasites...

    • plos.figshare.com
    xlsx
    Updated May 31, 2023
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    Pavla Bartošová-Sojková; Alena Lövy; Cecile C. Reed; Martina Lisnerová; Tereza Tomková; Astrid S. Holzer; Ivan Fiala (2023). Life in a rock pool: Radiation and population genetics of myxozoan parasites in hosts inhabiting restricted spaces [Dataset]. http://doi.org/10.1371/journal.pone.0194042
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pavla Bartošová-Sojková; Alena Lövy; Cecile C. Reed; Martina Lisnerová; Tereza Tomková; Astrid S. Holzer; Ivan Fiala
    License

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

    Description

    IntroductionIntertidal rock pools where fish and invertebrates are in constant close contact due to limited space and water level fluctuations represent ideal conditions to promote life cycles in parasites using these two alternate hosts and to study speciation processes that could contribute to understanding the roles of parasitic species in such ecosystems.Material and methodsGall bladder and liver samples from five clinid fish species (Blenniiformes: Clinidae) were morphologically and molecularly examined to determine the diversity, prevalence, distribution and host specificity of Ceratomyxa parasites (Cnidaria: Myxozoa) in intertidal habitats along the coast of South Africa. Phylogenetic relationships of clinid ceratomyxids based on the SSU rDNA, LSU rDNA and ITS regions were assessed additionally to the investigation of population genetic structure of Ceratomyxa cottoidii and subsequent comparison with the data known from type fish host Clinus cottoides.Results and discussionSeven Ceratomyxa species including previously described Ceratomyxa dehoopi and C. cottoidii were recognized in clinids. They represent a diverse group of rapidly evolving, closely related species with a remarkably high prevalence in their hosts, little host specificity and frequent concurrent infections, most probably as a result of parasite radiation after multiple speciation events triggered by limited host dispersal within restricted spaces. C. cottoidii represents the most common clinid parasite with a population structure characterized by young expanding populations in the south west and south east coast and by older populations in equilibrium on the west coast of its distribution. Parasite and fish host population structures show overlapping patterns and are very likely affected by similar oceanographic barriers possibly due to reduced host dispersal enhancing parasite community differentiation. While fish host specificity had little impact on parasite population structure, the habitat preference of the alternate invertebrate host as well as tidal water exchange may be additional crucial variables affecting the dispersal and associated population structure of C. cottoidii.

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Gauging Population Change-Copy

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Dataset updated
Mar 3, 2022
Dataset authored and provided by
mah0003
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Description

This map shows population change from 2000 to 2010 by county, tract, and block group. Magenta symbols represent losses in population while blue symbols represent gains. At the national level, the map highlights growth patterns in the west coast, Texas, and the east coast in blue, and areas that have lost population, such as Detroit, New Orleans, and much of the Midwest, in magenta. Areas of larger growth and decline are represented with larger symbols. As you zoom into the map, you activate the gauge symbols. These show the degree of population increase or decrease. The white arrow points to the level of change (blue = increase, magenta = decrease). Click on any of the symbols to view a popup showing the count of population growth or decline, the percent change, and a bar chart comparing 2000 to 2010 population.Story map and layers are found in the Living Atlas.

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