9 datasets found
  1. GeoSearch

    • datasets.ai
    • catalogue.arctic-sdi.org
    • +2more
    21
    Updated Aug 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada | Statistique Canada (2024). GeoSearch [Dataset]. https://datasets.ai/datasets/0074d598-1866-4d84-8ee3-037211103939
    Explore at:
    21Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    Statistics Canada | Statistique Canada
    Description

    GeoSearch is an interactive mapping application that makes it easy to find places in Canada, see them on a map, and get basic geographic and demographic data for them.

  2. G

    Project Geo-Information

    • open.canada.ca
    • ouvert.canada.ca
    csv, html
    Updated Feb 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Western Economic Diversification Canada (2022). Project Geo-Information [Dataset]. https://open.canada.ca/data/en/dataset/7fbffe23-ba6b-49ea-9161-e258fdaa9b3d
    Explore at:
    html, csvAvailable download formats
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Western Economic Diversification Canada
    License

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

    Description

    This dataset provides geographical information on projects issued by or on behalf of Western Economic Diversification Canada.

  3. B

    Data from: Data archiving is a good investment

    • borealisdata.ca
    • open.library.ubc.ca
    • +1more
    Updated May 19, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Heather A. Piwowar; Todd J. Vision; Michael C. Whitlock (2021). Data from: Data archiving is a good investment [Dataset]. http://doi.org/10.5683/SP2/OMN3WB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 19, 2021
    Dataset provided by
    Borealis
    Authors
    Heather A. Piwowar; Todd J. Vision; Michael C. Whitlock
    License

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

    Description

    AbstractFunding agencies are reluctant to support data archiving, even though large research funders such as the National Science Foundation (NSF) and the National Institutes of Health acknowledge its importance for scientific progress. Our quantitative estimates of data reuse indicate that ongoing financial investment in data-archiving infrastructure provides a high scientific return. Usage notesPubMed Central reuse of GEO datasets deposited in 2007This is the raw data behind the analysis. It contains one row for every mention of a 2007 GEO dataset in PubMed Central. Each row identifies the mentioned GEO dataset, the PubMed Central article that mentions the dataset's accession number, whether the authors of the dataset and the attributing article overlap, and whether this is considered an instance of third-party data reuse.PMC_reuse_of_2007_GEO_datasets.csvAggregate Table DataAggregate table data behind the figures and results in the README associated with the main dataset. Includes Baseline metrics used for extrapolating PubMed Central (PMC) results to PubMed, Number of mentions of a 2007 GEO dataset by authors who submitted the dataset, and Number of mentions of a dataset by authors who DID NOT submit the dataset across 2007-2010.tables.csv

  4. Geographic Lead Agencies

    • data.ca.gov
    • gis.data.ca.gov
    • +2more
    Updated Aug 14, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Education (2020). Geographic Lead Agencies [Dataset]. https://data.ca.gov/dataset/geographic-lead-agencies
    Explore at:
    csv, geojson, arcgis geoservices rest api, zip, html, kmlAvailable download formats
    Dataset updated
    Aug 14, 2020
    Dataset authored and provided by
    California Department of Educationhttps://www.cde.ca.gov/
    Description

    Legislative Authorization

    Assembly Bill 1808 appropriated $4 million to establish the California Geographic Lead Agencies (Lead Agency) to build the capacity of county offices of education (COEs) to ensure that counties are equipped to build the capacity of their local educational agencies (LEAs) to support the continuous improvement of student performance within the state priorities as defined in California Education Code (EC) sections 52060 and 52066 and address the gaps in achievement between student groups as defined in EC Section 52052.

    Purpose

    • The 6 to 10 Lead Agencies will work together to support the following goals for all counties. The Lead Agencies will also connect COEs to the other initiatives within California's System of Support.

    • Support the continuous improvement of student performance within the state priorities across student groups as defined in EC sections 52060 and 52066.

    • Address the gaps in achievement between student groups as defined in EC Section 52052.

    • Improve outreach and collaboration with stakeholders to ensure that goals, actions, and services as described in school district and COEs Local Control and Accountability Plans reflect the needs of the community, especially for historically under-represented or low-achieving populations.

    • Serve as a facilitator, resource connector, and capacity builder for COEs.

    Funding Description

    Each Lead Agency is selected for a term ending no later than June 30, 2023. Each awardee will receive a minimum of $250,000 and additional funds will be allocated based on a formula derived from the 2018 list of school districts eligible for differentiated assistance

  5. G

    GeoSuite

    • ouvert.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html, pdf, zip
    Updated Apr 13, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2022). GeoSuite [Dataset]. https://ouvert.canada.ca/data/dataset/010079a8-b93c-4616-984e-c84b7f1c8ae1
    Explore at:
    html, zip, pdfAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Statistics Canada
    License

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

    Description

    GeoSuite is a tool used for data retrieval, query and tabular output. It allows users to explore the links between all standard levels of geography and to identify geographic codes, names, unique identifiers, and, where applicable, types, as well as land area and population and dwelling counts. GeoSuite includes data for the following the 2021 Census standard geographic areas: • Canada (CAN) • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (FEDs) (2013 Representation Order) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas (CMAs), census agglomerations (CAs) and census metropolitan influenced zones (MIZs) • Census tracts (CTs) • Population centres (POPCTRs) and rural areas (RAs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Place names (PNs)

  6. o

    Computational stability data of Ca3GeO from Density Functional Theory...

    • oqmd.org
    Updated May 21, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Open Quantum Materials Database (2022). Computational stability data of Ca3GeO from Density Functional Theory calculations [Dataset]. https://oqmd.org/materials/composition/Ca3GeO
    Explore at:
    Dataset updated
    May 21, 2022
    Dataset authored and provided by
    The Open Quantum Materials Database
    License

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

    Variables measured
    Stability, Composition, Decomposition Energy
    Measurement technique
    Computational, Density Functional Theory
    Description

    This composition appears in the Ca-Ge-O region of phase space. It's relative stability is shown in the Ca-Ge-O phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

  7. Health indicator : select health conditions : prevalence by geography

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Jul 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Alberta (2024). Health indicator : select health conditions : prevalence by geography [Dataset]. https://open.canada.ca/data/en/dataset/48b6e09b-6edb-40b2-937b-10246d474113
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Government of Albertahttps://www.alberta.ca/
    License

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

    Time period covered
    Jan 1, 2001 - Dec 31, 2014
    Description

    This dataset presents information on the proportion of the population that has a variety of selected health conditions

  8. v

    Auto Partes Geo Ca Company profile with phone,email, buyers, suppliers,...

    • volza.com
    csv
    Updated Jan 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza.LLC (2025). Auto Partes Geo Ca Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/auto-partes-geo-ca-34594099
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Auto Partes Geo Ca contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  9. Ontario Digital Terrain Model (Lidar-Derived)

    • ouvert.canada.ca
    • open.canada.ca
    html, zip
    Updated Mar 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Ontario (2025). Ontario Digital Terrain Model (Lidar-Derived) [Dataset]. https://ouvert.canada.ca/data/dataset/7c3d7022-2631-45bc-8f6b-f3d51b7779a7
    Explore at:
    zip, htmlAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

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

    Area covered
    Ontario
    Description

    The Ontario Lidar Digital Terrain Model (DTM) Geospatial Ontario (GEO) Dataset is a raster product representing the bare-earth terrain derived from a classified lidar point cloud. The DTM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download. This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.

  10. 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
Statistics Canada | Statistique Canada (2024). GeoSearch [Dataset]. https://datasets.ai/datasets/0074d598-1866-4d84-8ee3-037211103939
Organization logo

GeoSearch

Explore at:
21Available download formats
Dataset updated
Aug 6, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Authors
Statistics Canada | Statistique Canada
Description

GeoSearch is an interactive mapping application that makes it easy to find places in Canada, see them on a map, and get basic geographic and demographic data for them.

Search
Clear search
Close search
Google apps
Main menu