3 datasets found
  1. g

    MaineDEP Registered Tanks

    • data-hub.gpcog.org
    • hub.arcgis.com
    • +1more
    Updated Dec 16, 2019
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    State of Maine (2019). MaineDEP Registered Tanks [Dataset]. https://data-hub.gpcog.org/datasets/maine::mainedep-registered-tanks/explore?layer=1
    Explore at:
    Dataset updated
    Dec 16, 2019
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    This service displays the location of all tanks registered with the Maine Department of Environmental Protection (MEDEP). Locations are linked to the MEDEP TANKS database and are updated nightly. It contains locations for both aboveground (AST) and belowground (UST) tanks. The state tanks registration database is overseen by staff from the Maine Department of Environmental Protection (MEDEP). All GIS data within this layer is managed by the MEDEP GIS Unit located in Augusta, Maine. The method of location collection for each tank can be found in the Location_Method field. Estimated accuracy of each tank is found in the Location_Accuracy field, while the Data_Source contains the group who collected the tank location.This service consists of a spatial points layer and a related table. When downloading this service for use in a GIS, both parts should be downloaded. To reestablish the relate in GIS, use the field MASTER_TANK_ID in both the spatial layer (Registered Tanks) and the table (TANKS_CHAMBER_MVIEW). The spatial layer (Registered Tanks) can be used stand-alone. The related table contains details on tank chamber size and fuel type stored.

  2. Ast fleet uk ltd USA Import & Buyer Data

    • seair.co.in
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    Seair Exim, Ast fleet uk ltd USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United Kingdom, United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  3. AirSwap Price Prediction for 2025-08-29

    • coinunited.io
    Updated Aug 1, 2025
    + more versions
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    CoinUnited.io (2025). AirSwap Price Prediction for 2025-08-29 [Dataset]. https://coinunited.io/en/data/prices/crypto/airswap-ast/price-prediction
    Explore at:
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    CoinUnited.io
    Description

    Based on professional technical analysis and AI models, deliver precise price‑prediction data for AirSwap on 2025-08-29. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

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    Learn how you can add new datasets to our index.

Share
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Email
Click to copy link
Link copied
Close
Cite
State of Maine (2019). MaineDEP Registered Tanks [Dataset]. https://data-hub.gpcog.org/datasets/maine::mainedep-registered-tanks/explore?layer=1

MaineDEP Registered Tanks

Explore at:
Dataset updated
Dec 16, 2019
Dataset authored and provided by
State of Maine
Area covered
Description

This service displays the location of all tanks registered with the Maine Department of Environmental Protection (MEDEP). Locations are linked to the MEDEP TANKS database and are updated nightly. It contains locations for both aboveground (AST) and belowground (UST) tanks. The state tanks registration database is overseen by staff from the Maine Department of Environmental Protection (MEDEP). All GIS data within this layer is managed by the MEDEP GIS Unit located in Augusta, Maine. The method of location collection for each tank can be found in the Location_Method field. Estimated accuracy of each tank is found in the Location_Accuracy field, while the Data_Source contains the group who collected the tank location.This service consists of a spatial points layer and a related table. When downloading this service for use in a GIS, both parts should be downloaded. To reestablish the relate in GIS, use the field MASTER_TANK_ID in both the spatial layer (Registered Tanks) and the table (TANKS_CHAMBER_MVIEW). The spatial layer (Registered Tanks) can be used stand-alone. The related table contains details on tank chamber size and fuel type stored.

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