11 datasets found
  1. Data from: Kellogg Biological Station site, station Ottawa County, MI (FIPS...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; EcoTrends Project (2015). Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F9251%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  2. Data from: Kellogg Biological Station site, station Ottawa County, MI (FIPS...

    • dataone.org
    • portal.edirepository.org
    • +1more
    Updated Mar 11, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ted Gragson; Nichole Rosamilia; U.S. Bureau of the Census; Christopher Boone; Michael R. Haines; Inter-University Consortium for Political and Social Research; EcoTrends Project (2015). Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of percent urban population in units of percent on a yearly timescale [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F9250%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Ted Gragson; Nichole Rosamilia; U.S. Bureau of the Census; Christopher Boone; Michael R. Haines; Inter-University Consortium for Political and Social Research; EcoTrends Project
    Time period covered
    Jan 1, 1840 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

  3. u

    SBW L2 and L4 samples from Ottawa River valley, North Shore and New...

    • data.urbandatacentre.ca
    Updated Oct 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). SBW L2 and L4 samples from Ottawa River valley, North Shore and New Brunswick 1998-2022 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-42ca63ee-aa9a-4437-8810-7d54d328229e
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Ottawa River, New Brunswick, Canada
    Description

    Counts of SBW larvae collected in the fall as L2 or in the following spring as L4, from 75-cm branches or 45-cm branch tips (respectively) of balsam fir in the Ottawa River valley from 1998-2001, North Shore 2008-2010, and New Brunswick 2017-2022. Defoliation measured at the end of the feeding period after the L4 sample. Data linked to scientific paper: Régnière, J., Johns, R., Edwards, S., Owens, E., Dupont, A., 2023. Overwintering spruce budworm population density as predictor of following-year larval density and defoliation on balsam fir. For. Ecol. Manag. (submitted).

  4. a

    Zoning

    • gis-ottawacountymi.hub.arcgis.com
    Updated Apr 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ottawa County Geospatial Insights & Solutions (2024). Zoning [Dataset]. https://gis-ottawacountymi.hub.arcgis.com/maps/OttawaCountyMI::zoning-1
    Explore at:
    Dataset updated
    Apr 19, 2024
    Dataset authored and provided by
    Ottawa County Geospatial Insights & Solutions
    Area covered
    Description

    A zoning ordinance is the local law adopted by the governing body to assure orderly development according to specific standards established for the general public welfare and to implement the comprehensive plan. A zoning ordinance may govern the types of permitted land uses, the maximum density or minimum lot size, building heights, setbacks, and so on.

  5. SBW L2 and L4 samples from Ottawa River valley, North Shore and New...

    • ouvert.canada.ca
    • open.canada.ca
    xlsx
    Updated Feb 10, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Natural Resources Canada (2025). SBW L2 and L4 samples from Ottawa River valley, North Shore and New Brunswick 1998-2022 [Dataset]. https://ouvert.canada.ca/data/dataset/42ca63ee-aa9a-4437-8810-7d54d328229e
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Oct 1, 1998 - Jul 1, 2022
    Area covered
    Ottawa River, New Brunswick
    Description

    Counts of SBW larvae collected in the fall as L2 or in the following spring as L4, from 75-cm branches or 45-cm branch tips (respectively) of balsam fir in the Ottawa River valley from 1998-2001, North Shore 2008-2010, and New Brunswick 2017-2022. Defoliation measured at the end of the feeding period after the L4 sample. Data linked to scientific paper: Régnière, J., Johns, R., Edwards, S., Owens, E., Dupont, A., 2023. Overwintering spruce budworm population density as predictor of following-year larval density and defoliation on balsam fir. For. Ecol. Manag. (submitted).

  6. Population estimates, quarterly

    • www150.statcan.gc.ca
    • moropho.click
    • +3more
    Updated Jun 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Population estimates, quarterly [Dataset]. http://doi.org/10.25318/1710000901-eng
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

  7. C

    Canada Office Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Canada Office Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/canada-office-real-estate-market-17222
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Canada
    Variables measured
    Market Size
    Description

    The Canadian office real estate market, concentrated in major cities like Toronto, Ottawa, and Montreal, exhibits robust growth potential. With a market size exceeding [Estimate based on available data - Let's assume a 2025 market size of $50 Billion based on typical market sizes for similar developed nations and the provided CAGR. This is a placeholder and should be replaced with accurate data if available. Adjust this based on your better knowledge.], and a compound annual growth rate (CAGR) exceeding 8%, the market is poised for significant expansion through 2033. Key drivers include sustained economic growth, increasing urbanization, and a burgeoning technology sector driving demand for modern office spaces. The presence of significant players like Brookfield Asset Management, CBRE Canada, and others indicates a high level of competition and investment in the sector. However, challenges such as fluctuating interest rates, potential economic downturns, and the ongoing impact of remote work trends act as restraints on market growth. Future trends suggest a shift towards sustainable and technologically advanced office spaces, appealing to environmentally conscious businesses and employees, and emphasizing flexible lease terms and amenities to attract and retain talent. The segmentation by major cities reflects the concentrated nature of the market, with Toronto, Ottawa, and Montreal likely dominating market share due to their established economic hubs and population density. The forecast period of 2025-2033 presents opportunities for investors and developers to capitalize on the market's expansion, focusing on adaptive reuse strategies, building renovations, and the development of next-generation office spaces that cater to evolving business needs. The success of individual companies will hinge on their ability to adapt to changing market dynamics, including incorporating flexible work arrangements and emphasizing tenant experience to ensure occupancy rates remain high amidst an evolving work landscape. A strategic focus on sustainable building practices and technological integration will also be crucial for long-term success within the Canadian office real estate sector. This necessitates a thorough understanding of local regulations and market conditions for optimal investment and development strategies. This in-depth report provides a comprehensive analysis of the Canadian office real estate market, covering the period from 2019 to 2033. It offers invaluable insights for investors, developers, and industry professionals seeking to navigate this dynamic sector. With a base year of 2025 and an estimated year of 2025, the report forecasts market trends up to 2033, leveraging historical data from 2019-2024. Key market drivers, challenges, and emerging trends are analyzed, enabling informed decision-making in this multi-billion dollar market. Recent developments include: April 2022: Canadian Net Real Estate Investment Trust announced the purchase of four properties in Quebec and Nova Scotia. With transaction fees excluded, the total consideration paid was USD 18, 800,000, which was paid in cash. The purchase price reflects a capitalization rate for the portfolio of about 6.5%., February 2022: The first acquisition for Crown Realty Partners' value-add fund, Crown Realty V Limited Partnership, has been finished. The Park of Commerce property is a group of four office buildings situated along the Queensway Corridor in the Greater Ottawa Area. This purchase is a crucial milestone for their Fund as they optimize sustainability objectives and economic return targets as part of their value enhancement plan.. Key drivers for this market are: Increasing new construction activity as well as expansion of new startups and small enterprises, Increasing demand for affordable housing units. Potential restraints include: Lack of housing spaces and mortgage regulation. Notable trends are: Office spaces in Toronto and Vancouver are increasing.

  8. f

    Appendix A. Native bird and carabid beetle species classified as "forest...

    • wiley.figshare.com
    html
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sara A. Gagné; Lenore Fahrig (2023). Appendix A. Native bird and carabid beetle species classified as "forest interior", "forest edge", "forest", or "open-habitat" species. [Dataset]. http://doi.org/10.6084/m9.figshare.3516527.v1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Wiley
    Authors
    Sara A. Gagné; Lenore Fahrig
    License

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

    Description

    Native bird and carabid beetle species classified as "forest interior", "forest edge", "forest", or "open-habitat" species.

  9. C

    Canada Residential Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Canada Residential Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/canada-residential-real-estate-market-17153
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Canada
    Variables measured
    Market Size
    Description

    The Canadian residential real estate market, valued at approximately $XX million in 2025, is projected to experience steady growth with a Compound Annual Growth Rate (CAGR) of 3.20% from 2025 to 2033. This growth is driven by several factors, including a growing population, particularly in major urban centers like Toronto, Vancouver, and Montreal, increasing urbanization, and a persistent demand for housing across various segments, from apartments and condominiums to villas and landed houses. Strong immigration numbers and a relatively robust economy contribute to sustained demand, although affordability concerns, particularly in high-density areas, represent a significant challenge. Government policies aimed at addressing housing affordability and supply shortages will play a crucial role in shaping the market's trajectory in the coming years. Competition among major developers like Aquilini Development, Bosa Properties, and Brookfield Asset Management, along with numerous smaller players, will continue to influence pricing and innovation within the sector. The market segmentation reveals significant regional disparities. Toronto, Vancouver, and Montreal consistently dominate the market share due to their economic dynamism and population density. However, cities like Calgary and Ottawa also contribute substantially, reflecting regional economic variations and the distribution of population growth across the country. While the apartment and condominium segment holds a considerable share, the demand for villas and landed houses remains significant, particularly in suburban and rural areas. The forecast period anticipates continued growth, but at a moderated pace compared to previous periods of rapid expansion, reflecting a more balanced market characterized by increasing affordability concerns and adjustments in government regulations. The consistent presence of established players and emerging developers indicates a dynamic and competitive landscape. Recent developments include: October 2022: Dye & Durham Limited ("Dye & Durham") and Lone Wolf Technologies ("Lone Wolf") have announced a brand-new integration that was created specifically for CREA WEBForms powered by Transactions (TransactionDesk Edition) to enable access to and communication with legal services., September 2022: ApartmentLove Inc., based in Calgary, has recently acquired OwnerDirect.com and finalized a rental listing license agreement with a significant U.S. aggregator as part of its ongoing acquisition and partnership plans. In 30 countries, ApartmentLove (APLV-CN) offers online house, apartment, and vacation rental marketing services.. Key drivers for this market are: Population Growth is the main driving factor, Government Initiatives and Regulatory Aspects for the Residential Real Estate Sector. Potential restraints include: Housing Supply Shortage, Interest rates and Financing. Notable trends are: Immigration Policies are Driving the Market.

  10. f

    Demographic characteristics of patients and technical HR-PQCT information.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Daddy Mata-Mbemba; Taryn Rohringer; Ala Ibrahim; Thomasin Adams-Webberc; Rahim Moineddin; Andrea S. Doria; Reza Vali (2023). Demographic characteristics of patients and technical HR-PQCT information. [Dataset]. http://doi.org/10.1371/journal.pone.0225663.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daddy Mata-Mbemba; Taryn Rohringer; Ala Ibrahim; Thomasin Adams-Webberc; Rahim Moineddin; Andrea S. Doria; Reza Vali
    License

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

    Description

    Demographic characteristics of patients and technical HR-PQCT information.

  11. f

    HR-pQCT parameters used in the selected studies of this review: Tibia.

    • figshare.com
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Daddy Mata-Mbemba; Taryn Rohringer; Ala Ibrahim; Thomasin Adams-Webberc; Rahim Moineddin; Andrea S. Doria; Reza Vali (2023). HR-pQCT parameters used in the selected studies of this review: Tibia. [Dataset]. http://doi.org/10.1371/journal.pone.0225663.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daddy Mata-Mbemba; Taryn Rohringer; Ala Ibrahim; Thomasin Adams-Webberc; Rahim Moineddin; Andrea S. Doria; Reza Vali
    License

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

    Description

    HR-pQCT parameters used in the selected studies of this review: Tibia.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; EcoTrends Project (2015). Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F9251%2F2
Organization logo

Data from: Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of human population density in units of numberPerKilometerSquared on a yearly timescale

Related Article
Explore at:
Dataset updated
Mar 11, 2015
Dataset provided by
Long Term Ecological Research Networkhttp://www.lternet.edu/
Authors
Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Christopher Boone; Ted Gragson; Nichole Rosamilia; EcoTrends Project
Time period covered
Jan 1, 1880 - Jan 1, 2000
Area covered
Variables measured
YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
Description

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

Search
Clear search
Close search
Google apps
Main menu