9 datasets found
  1. G

    QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Oct 5, 2021
    + more versions
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    Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 5, 2021
    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

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  2. a

    College Map

    • hub.arcgis.com
    • catalog.data.gov
    Updated Mar 15, 2017
    + more versions
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    National Center for Education Statistics (2017). College Map [Dataset]. https://hub.arcgis.com/items/54c1339972ad4b1eb347047c7ca3e616
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    Dataset updated
    Mar 15, 2017
    Dataset authored and provided by
    National Center for Education Statistics
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Finding Schools is now easier than ever with the College Map, the first geographic search tool published by IPEDS (Integrated Postsecondary Education Data System) providing access to over 7,000 certificate, undergraduate and graduate-level schools. This all-in-one tool enables students, parents and counselors to filter potential programs for location, major, tuition and more. Including both certificate-level programs and advanced degrees, this public application makes the often overwhelming process of school searching simple, and it’s available on mobile devices.Once the results are narrowed down, users can share their lists on social media or download in excel format. Additionally, the College Map integrates with the College Navigator, a research based search tool providing data from the complete list of IPEDS Survey indicators.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  3. d

    California Farmers Markets.

    • datadiscoverystudio.org
    • data.wu.ac.at
    zip
    Updated Apr 25, 2015
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    (2015). California Farmers Markets. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cc07aa2c5bbe4aa5bc86f69d614864d3/html
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    zipAvailable download formats
    Dataset updated
    Apr 25, 2015
    Area covered
    California
    Description

    description: This data is for public use, and is in a GIS (Geographic Information Systems) form that displays farmers markets throughout California that are WIC (Women, Infants, and Children) certified. It contains infromation about the markets that have both FMNP (Farmers Market Nutritional Program) or FVC (Fruit and Vegetable Checks) certification, their WIC identification, locations, and when they are held. This was developed by the California Department of Technology, and information was gathered by the CDFA (California Department of Food and Agriculture). These locations were further specified and gathered by Carter Medlin, and edited by Lauren Phillips.; abstract: This data is for public use, and is in a GIS (Geographic Information Systems) form that displays farmers markets throughout California that are WIC (Women, Infants, and Children) certified. It contains infromation about the markets that have both FMNP (Farmers Market Nutritional Program) or FVC (Fruit and Vegetable Checks) certification, their WIC identification, locations, and when they are held. This was developed by the California Department of Technology, and information was gathered by the CDFA (California Department of Food and Agriculture). These locations were further specified and gathered by Carter Medlin, and edited by Lauren Phillips.

  4. Licensed Professionals Data API | Verified Licenses & Certifications | Best...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Licensed Professionals Data API | Verified Licenses & Certifications | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/licensed-professionals-data-api-verified-licenses-certifi-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Canada, Christmas Island, Guam, Virgin Islands (U.S.), Colombia, French Guiana, Wallis and Futuna, Mayotte, Sweden, Lithuania
    Description

    Success.ai’s Licensed Professionals Data API equips organizations with the data intelligence they need to confidently engage with professionals across regulated industries. Whether you’re verifying the credentials of healthcare practitioners, confirming licensing status for legal advisers, or identifying certified specialists in construction, this API provides real-time, AI-validated details on certifications, licenses, and qualifications.

    By tapping into over 700 million verified profiles, you can ensure compliance, build trust, and streamline your due diligence processes. Backed by our Best Price Guarantee, Success.ai’s solution helps you operate efficiently, mitigate risk, and maintain credibility in highly regulated markets.

    Why Choose Success.ai’s Licensed Professionals Data API?

    1. Verified Licenses & Certifications

      • Access detailed information about professional credentials, educational backgrounds, and accreditations.
      • Rely on 99% data accuracy through AI-driven validation, ensuring each verification is robust and reliable.
    2. Comprehensive Global Coverage

      • Includes professionals across healthcare, law, construction, finance, engineering, and more.
      • Confidently scale verification processes as you enter new regions or explore diverse regulated markets.
    3. Continuously Updated Data

      • Receive real-time updates to maintain up-to-date compliance records and accurate credential checks.
      • Respond swiftly to changes in licensing standards, new certifications, or shifting industry requirements.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.
      • Safeguard brand reputation and reduce risk of non-compliance with strict regulatory environments.

    Data Highlights:

    • Over 700M Verified Profiles: Engage with a vast pool of licensed professionals worldwide.
    • Licensing & Qualification Details: Confirm professional credentials, specializations, and areas of practice.
    • Continuous Data Refresh: Always access current, reliable data for timely verifications.
    • Best Price Guarantee: Optimize ROI by leveraging premium-quality data at industry-leading rates.

    Key Features of the Licensed Professionals Data API:

    1. On-Demand Credential Verification

      • Seamlessly enrich CRM systems, HR platforms, or compliance tools with verified professional licensure data.
      • Minimize manual research and accelerate due diligence cycles for faster decision-making.
    2. Advanced Filtering & Query Options

      • Query the API by industry (healthcare, legal, construction), geographic location, or specific certifications.
      • Target precisely the professionals required for your projects, compliance checks, or service offerings.
    3. Real-Time Validation & Reliability

      • Depend on AI-driven verification processes to ensure data integrity and relevance.
      • Make confident, informed decisions backed by accurate credentials and licensing details.
    4. Scalable & Flexible Integration

      • Easily integrate the API into existing workflows, analytics platforms, or recruitment systems.
      • Adjust parameters as project scopes or regulatory conditions evolve, maintaining long-term adaptability.

    Strategic Use Cases:

    1. Compliance & Regulatory Assurance

      • Verify credentials in healthcare (e.g., physician licenses), legal (bar admissions), or construction (professional certifications) to ensure compliance.
      • Avoid reputational damage and legal liabilities by confirming qualifications before engagement.
    2. Recruitment & Talent Acquisition

      • Identify and confirm the qualifications of candidates in regulated industries.
      • Streamline hiring processes for specialized roles, improving time-to-fill and talent quality.
    3. Partner & Supplier Validation

      • Confirm that partners, vendors, or contractors meet industry standards and licensing requirements.
      • Strengthen supply chain integrity and safeguard organizational interests.
    4. Market Research & Industry Analysis

      • Assess the concentration of licensed professionals in specific regions or specialties.
      • Inform product development, service offerings, or strategic expansions based on verified professional talent pools.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access top-tier licensed professional data at leading market rates, ensuring exceptional ROI on compliance and verification efforts.
    2. Seamless Integration

      • Incorporate the API effortlessly into existing tools, reducing data silos and manual handling, thus improving productivity.
    3. Data Accuracy with AI Validation

      • Trust in 99% accuracy to guide decisions, minimize risk, and maintain compliance in highly regulated sectors.
    4. Customizable & Scalable Solutions

      • Tailor datasets to meet evolving standards, regulation changes, or business ...
  5. d

    Soil - Mojave Desert Area CA 698

    • datadiscoverystudio.org
    Updated Jan 1, 1900
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    Wetlands Reserve Program (1900). Soil - Mojave Desert Area CA 698 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/eb04409097f14e96a947fc89898a0f90/html
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    Dataset updated
    Jan 1, 1900
    Authors
    Wetlands Reserve Program
    Area covered
    Description

    This data set has certified soil survey attributes corresponding to the National Soil Information System (NASIS) database that represents a portion of soil survey geospatial data for progressive archiving and distribution. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a plan metric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

  6. r

    Standard Instrument Local Environmental Plan (LEP) - Land Use Zoning (LZN)...

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
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    Government of New South Wales - Department of Planning and Environment (2023). Standard Instrument Local Environmental Plan (LEP) - Land Use Zoning (LZN) 18/11/2016 for NSW [Dataset]. https://researchdata.edu.au/standard-instrument-local-18112016-nsw/2743461
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of New South Wales - Department of Planning and Environment
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    Land use zoning details the type of land uses available that are permitted (with or without consent) or prohibited in each zone for all areas under the Local Environment Plan (LEP). Land use zoning in an LEP are grouped into the following broad categories: BUSINESS (B), ENVIRONMENT (E), INDUSTRIAL (IN), RESIDENTIAL (R), RECREATION (RE), RURAL (RU), SPECIAL (SP) and WATERWAYS (W). The LZN dataset shows the zoning of all areas designated under the LEP. Zones define the legally permitted and prohibited uses of a piece of land, determining if a lot can be used for commercial, industrial, residential or other purposes. In other words, it defines what can and cannot be built on a piece of land. The is a revision of the original 2006 dataset, metadata date 5 July 2016. The original GIS data was captured by local councils, DP&I and contractors and provided in accordance with the DP&I's Standard Requirements for GIS LEP data and Standard Technical Requirements for LEP maps. Before the LEP is notified on the NSW Legislation website, the mapping is checked by DP&I and the Parliamentary Council's Office to ensure that it is consistent with these standards. After the LEP is notified, the GIS data is quality controlled using an ISO 9001-Quality-Certified, Quality Management System and incorporated into the Statewide dataset. The Land Application data relates directly to and adopts the accuracy of its reference dataset, Land and Property Information DCDB. The GIS data may be subject to change as a part of quality control, or if the LEP is amended. Please confirm dates of respective features before use as this dataset has a large temporal extent.

  7. USDA Soils

    • gis-cccommission.opendata.arcgis.com
    • gis.data.mass.gov
    • +1more
    Updated Apr 22, 2014
    + more versions
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    Cape Cod Commission (2014). USDA Soils [Dataset]. https://gis-cccommission.opendata.arcgis.com/datasets/usda-soils
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    Dataset updated
    Apr 22, 2014
    Dataset authored and provided by
    Cape Cod Commission
    Area covered
    Description

    The Soils datalayer has been automated from published soils surveys as provided on various media by the United States Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS). All soils data released by MassGIS have been "SSURGO-certified," which means they have been reviewed and approved by the NRCS and meet all standards and requirements for inclusion in the national release of county-level digital soils data. Soil survey areas are roughly based on county boundaries.

    The SSURGO-certified soils dataset is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. The data include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. Data for survey areas were developed using various scale base maps: some areas at a 1:25,000 or 1:12,000 scale, or at larger scales where source materials (e.g. 1:5,000 MassGIS ortho imagery) were available. Details for a specific survey area are provided in the NRCS-produced metadata that are distributed with the spatial data.

    The soil map units are linked to attributes in the National Soil Information System (NASIS) relational database, which gives the proportionate extent of the component soils and their properties.

    At MassGIS the soils datalayer is stored in ArcSDE for Oracle as the statewide feature class SOILS_POLY. Two companion layers, SOILSPOT_PT and SOILSPOT_ARC, represent "special" or "ad hoc" features such as gravel pits, wet areas, bedrock escarpments and others. These layers display the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management.

    The status for each survey area is stored in the statewide layer named SOILSTAT_POLY. See details in the Entity Attributes section.

    The soils polygons were updated in August 2010 for new data for Plymouth. Also, the adjacent survey areas (Barnstable, Bristol North, Bristol South, and Norfolk-Suffolk) were replaced, as these were edited to edge-match with Plymouth. With the August 2010 update, soils data are available for all survey areas in the state except for Franklin, which is under development.

  8. a

    MassDEP CSOs

    • czm-moris-mass-eoeea.hub.arcgis.com
    Updated Aug 10, 2021
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    MA Executive Office of Energy and Environmental Affairs (2021). MassDEP CSOs [Dataset]. https://czm-moris-mass-eoeea.hub.arcgis.com/datasets/massdep-csos-2
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    Dataset updated
    Aug 10, 2021
    Dataset provided by
    Massachusetts Executive Office of Energy and Environmental Affairs
    Authors
    MA Executive Office of Energy and Environmental Affairs
    Area covered
    Description

    The 2021 Combined Sewer Overflow (CSO) spatial data layer shows the point locations of National Pollutant Discharge Elimination System (NPDES) permitted combined sewer overflow discharges. These outfalls occur in older cities in Massachusetts that still have areas of combined sewer and stormwater systems which overflow during heavy storm events. MassDEP has responsibility for ensuring that these systems, along with other sanitary sewer systems, are in compliance with the Clean Waters Act https://www.epa.gov/laws-regulations/summary-clean-water-act and the regulations adopted under 314 CMR 1.00 through 9.00 – please see https://www.mass.gov/regulations/314-CMR-9-401-water-quality-certification for more detail. Please refer to the Sanitary Sewer Systems and Combined Sewer Overflows guide for additional information.A list of active CSO locations was created and checked against lists contained in the NPDES permit for each CSO system along with lists contained in reports available from the systems online or on town websites. In some cases, when needed, CSO systems were contacted to verify active status of outfalls.Outfall locations are estimates based on the best available maps or coordinates and may contain errors and should only be used as a guide. For additional locational information please contact the CSO systems involved.Source Materials and Data AutomationMassDEP staff used information including maps and general descriptions of CSO locations found online and in NPDES permits to assist in mapping. This information was supplemented by maps and coordinates received from municipal staff responsible for CSO management in each of the systems involved, staff knowledge of outfall locations, maps found in system reports, and maps found on town web sites. MassDEP staff viewed the material and then mapped or verified the location of the CSO using the 2019 orthophoto as a basemap. Some systems were able to provide GIS data directly to MassDEP staff – in these cases, CSO locations were placed directly onto the provided points s or the systems provided point locations were used to verify MassDEP locations. When available, coordinates were entered directly and then checked against the orthophoto and other available maps for general accuracy. Last updated July, 2021.

    FIELD

    TYPE/WDTH

    DEFINITION

    NPDES_ID

    C/50

    Permit Number for the National Pollutant Discharge Elimination System (NPDES)

    SYSTEMNAME

    C/50

    CSO System Name

    OUTFALL_ID

    C/15

    Outfall number according to the Town or System

    DEP_OUTFL_ID

    C/15

    Unique ID for the CSO which combines the Town or System abbreviation with the CSO Outfall No

    RECVING_WATER

    C/100

    The body of water the CSO drains into

    ADDRESS

    C/120

    General locational description of the CSO

    TOWN

    C/40

    Standard (1-351) municipality name where the CSO is actually located

    DEP_REGION

    C/4

    MassDEP Regional Office Code

    L_TYPE

    C/10

    Type of location, i.e., estimated location, center of site, etc.

    POINT_X

    D

    X Coordinate Decimal Degrees

    POINT_Y

    D

    Y Coordinate Decimal Degrees

    MAJOR_BASIN

    C/100

    Major Basin the outfall is located within

    PERMIT_URL

    C/200

    URL to permit online

    Data Universe

    A list of active CSO locations was created and checked against lists contained in the NPDES permit for each CSO system along with lists contained in reports available from the systems online or on town websites. In some cases, when needed, CSO systems were contacted to verify active status of outfalls.CONTACTS AND TERMS OF USE

    The CSOs contained in the CSO spatial data layer are based on a list provided by the MassDEP Bureau of Water Resources Wastewater program – for general questions please contact Lealdon Langley at (617) 574-6882. Locations are estimates and should only be used as a guide. For additional locational information please contact the CSO systems involved. For GIS related questions please contact the MassDEP GIS Program at (617) 292-5500.

  9. a

    Montana Air Quality Monitoring Data

    • discover-mtdeq.hub.arcgis.com
    • hub.arcgis.com
    Updated Jul 13, 2022
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    Montana DEQ (2022). Montana Air Quality Monitoring Data [Dataset]. https://discover-mtdeq.hub.arcgis.com/datasets/MTDEQ::montana-air-quality-monitoring-data/explore
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    Dataset updated
    Jul 13, 2022
    Dataset provided by
    Montana Department of Environmental Quality
    Authors
    Montana DEQ
    Area covered
    Description

    Note: There are currently two software bugs that may affect what you are trying to do with this data. Workarounds are provided below. DEQ is currently working with software vendor to resolve these issues.1) If you are attempting to filter the dataset on DEQ's Discover Data Portal, using either the datetime or date fields, and you can't see recent updates on the slider, please click the end date (format mm/dd/yyyy) at the right end of the slider. Hand-enter today's date, or some date in the future (i.e., tomorrow), then move the the end date slider all the way to the right to access the full date range2) When data is downloaded, date/time fields are downloaded in UTC format only (Montana Standard Time = UTC-7, Montana Daylight Time = UTC-6), in epoch time (milliseconds since 00:00:00 Thursday, 1 January 1970).Additionally, on May 6, 2024, the U.S. EPA modified some of the breakpoints in the U.S. Air Quality Index (AQI) to reflect the revised level of the primary annual PM2.5 standard and to reflect recent health science on PM2.5. This change impacts values in the attribute field "healthcategory". Health concern categories prior to May 6, 2024, reflect the older breakpoints, whereas PM2.5 AQI values after this date have been determined using the updated breakpoints. For more information in the change please visit this link.This dataset contains parameters measured by Montana’s statewide ambient air monitoring network. Data is collected by permanent and temporary monitors, maintained by the Montana Department of Environmental Quality (DEQ), that operate 24 hours a day, 365 days a year. Non-continuous monitors (parameter value begins with “BGI”) operates for a straight 24-hour period on every third or sixth day. Hourly average data is updated at approximately 17 minutes past the hour of measurement and stored in DEQ's AirVision database where quality control assessments and checks are applied. Data is pushed from AirVision to DEQ's GIS data portal via a systems integration process. Available data has not necessarily been subjected to final certification and upload to the Environmental Protection Agency’s Air Quality System (AQS). For more information on air quality in the State of Montana, please visit https://deq.mt.gov/air/index.

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

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Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff

QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems

Explore at:
htmlAvailable download formats
Dataset updated
Oct 5, 2021
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

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

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