6 datasets found
  1. d

    Maine High Resolution Wind Resource

    • catalog.data.gov
    Updated Aug 11, 2025
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    National Renewable Energy Laboratory (2025). Maine High Resolution Wind Resource [Dataset]. https://catalog.data.gov/dataset/maine-high-resolution-wind-resource
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    National Renewable Energy Laboratory
    Area covered
    Maine
    Description

    A shapefile of annual average wind resource potential for Maine, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. Note: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 19, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants. For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

  2. US Hourly Precipitation Data

    • kaggle.com
    Updated Jan 20, 2023
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    The Devastator (2023). US Hourly Precipitation Data [Dataset]. https://www.kaggle.com/datasets/thedevastator/us-hourly-precipitation-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 20, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    Description

    US Hourly Precipitation Data

    Historical Accumulated and Measured Rain Gauge Data from 1900-Present

    By US Open Data Portal, data.gov [source]

    About this dataset

    This dataset contains hourly precipitation data from over 5,500 US National Weather Service (NWS), Federal Aviation Administration (FAA), and cooperative observer stations in the United States of America, Puerto Rico, the US Virgin Islands, and various Pacific Islands. With an impressive array of earliest data that varies by state and region spanning up to a century ago, this dataset offers a vast wealth of information on how our environment changes over time.

    What secrets lie in this dataset? Explore now to uncover how rainfalls affects each corner of our nation's geographical diversity - from Maine down to Texas and beyond! Drawing conclusions on the average weather trends or anomalies in localized areas just takes a little bit of creativity with this dataset. Let the possibilities guide your exploration!

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    How to use the dataset

    How to Use This Dataset

    Overview

    This dataset contains hourly precipitation data from various US National Weather Service, Federal Aviation Administration, and cooperative observer stations in the United States of America, Puerto Rico, the US Virgin Islands, and various Pacific Islands. The data is sourced from digital data set DSI-3240 which is archived at the National Climatic Data Center (NCDC). Earliest dates for measurements vary by state and region - ranging from Maine with an earliest date of 1900 to western Pacific regions that have data since 1978. The latest data captured in all states/regions are from present day relevant measurements. The major parameter in DSI-3240 is precipitation amounts which measure hourly or daily precipitation accumulation. Accumulation accounts for when rain gauges or observers are out of service for any reason.

    Examples of Analysis

    Using this dataset you can run analysis on a variety of subjects within U.S life:Long-term effects on geography due given changes in climate; Meteorologists’ predictions versus actual readings; Historical weather movement patterns etcetera..

    ## Key Columns included
    The following columns are included in this Hourly Precipitation Data read-in: Station (the station ID), name (of station), elevation, latitude/longitude location coordinates , date precipitated as well as hourly accumulations measured (and two accompanying flags denoting quality measurement and accuracy.)

    ## Additional Considerations
    Please consider reading through all categories before conducting searches OR taking into account time that original surveyors provide throughout each geographic region – early access does vary between continental US versus external island areas like Guam American Samoa etcetera…

    ## Conclusion And finally although this guide attempts provide basic frame work format successful analysis .It ultimately completes an interactive user experience where end results hold much higher value than first inputs . We hope you find these specific article insightful overall general technique steps assist further discovery !

    Research Ideas

    • Analysis of changes in annual precipitation levels over time to inform climate change research.
    • Estimation of runoff to inform water management strategies in different geographical areas within the US.
    • Utilization of data to develop mathematical models that predict future variations in weather patterns and climate across the US

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    Unknown License - Please check the dataset description for more information.

    Columns

    File: hourly-precipitation-csv-sample-1.csv | Column name | Description | |:---------------------|:---------------------------------------------------------------------------------------------------------------------------------------| | STATION | Unique identifier for each station. (String) | | STATION_NAME | Name of the station. (String) ...

  3. U.S. Hourly Precipitation Data

    • ncei.noaa.gov
    • data.globalchange.gov
    • +7more
    csv, dat, kmz
    Updated Oct 1951
    + more versions
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    NOAA National Centers for Environmental Information (NCEI) (1951). U.S. Hourly Precipitation Data [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00313
    Explore at:
    csv, dat, kmzAvailable download formats
    Dataset updated
    Oct 1951
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Time period covered
    Jan 1, 1940 - Dec 31, 2013
    Area covered
    United States, Ocean > Atlantic Ocean > North Atlantic Ocean > Caribbean Sea > Puerto Rico, Geographic Region > Polar, Ocean > Atlantic Ocean > North Atlantic Ocean > Caribbean Sea > Virgin Islands, Geographic Region > Mid-Latitude, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Palau, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Marshall Islands, Ocean > Pacific Ocean > Central Pacific Ocean > American Samoa, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Guam, Geographic Region > Equatorial
    Description

    Hourly Precipitation Data (HPD) is digital data set DSI-3240, archived at the National Climatic Data Center (NCDC). The primary source of data for this file is approximately 5,500 US National Weather Service (NWS), Federal Aviation Administration (FAA), and cooperative observer stations in the United States of America, Puerto Rico, the US Virgin Islands, and various Pacific Islands. The earliest data dates vary considerably by state and region: Maine, Pennsylvania, and Texas have data since 1900. The western Pacific region that includes Guam, American Samoa, Marshall Islands, Micronesia, and Palau have data since 1978. Other states and regions have earliest dates between those extremes. The latest data in all states and regions is from the present day. The major parameter in DSI-3240 is precipitation amounts, which are measurements of hourly or daily precipitation accumulation. Accumulation was for longer periods of time if for any reason the rain gauge was out of service or no observer was present. DSI 3240_01 contains data grouped by state; DSI 3240_02 contains data grouped by year.

  4. Colle Gnifetti Ice Core - ICPMS S record 599-807 C.E. - Climate Change...

    • search.datacite.org
    • dataverse.harvard.edu
    Updated 2018
    + more versions
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    Nicole Spaulding (2018). Colle Gnifetti Ice Core - ICPMS S record 599-807 C.E. - Climate Change Institute - University of Maine [Dataset]. http://doi.org/10.7910/dvn/ftx0yx
    Explore at:
    Dataset updated
    2018
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Harvard Dataverse
    Authors
    Nicole Spaulding
    Description

    Spaulding, Nicole; Bohleber, Pascal; Sneed, Sharon; Handley, Michael, 2018, Colle Gnifetti Ice Core - ICPMS S record 599-807 C.E. - Climate Change Institute - University of Maine

  5. d

    Colle Gnifetti Ice Core - LA-ICPMS Ca/Fe record (last ~2000 years) - Climate...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    + more versions
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    Spaulding, Nicole; Bohleber, Pascal; Sneed, Sharon; Handley, Michael (2023). Colle Gnifetti Ice Core - LA-ICPMS Ca/Fe record (last ~2000 years) - Climate Change Institute - University of Maine [Dataset]. http://doi.org/10.7910/DVN/VH2BWR
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Spaulding, Nicole; Bohleber, Pascal; Sneed, Sharon; Handley, Michael
    Description

    Colle Gnifetti Ice Core - LA-ICPMS Ca/Fe record (last ~2000 years) - Climate Change Institute - University of Maine

  6. H

    Colle Gnifetti Ice Core - d18O and Ca (Oxygen isotopes, Calcium -...

    • dataverse.harvard.edu
    Updated Nov 29, 2018
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    Alexander More (2018). Colle Gnifetti Ice Core - d18O and Ca (Oxygen isotopes, Calcium - temperature proxies) record - Climate Change Institute - University of Maine - University of Heidelberg [Dataset]. http://doi.org/10.7910/DVN/XGHB2A
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Alexander More
    License

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

    Area covered
    Maine, Heidelberg
    Description

    Colle Gnifetti Ice Core - d18O and Ca (Oxygen isotopes, Calcium - temperature proxies) record - Climate Change Institute - University of Maine - University of Heidelberg

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National Renewable Energy Laboratory (2025). Maine High Resolution Wind Resource [Dataset]. https://catalog.data.gov/dataset/maine-high-resolution-wind-resource

Maine High Resolution Wind Resource

Explore at:
Dataset updated
Aug 11, 2025
Dataset provided by
National Renewable Energy Laboratory
Area covered
Maine
Description

A shapefile of annual average wind resource potential for Maine, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. Note: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 19, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants. For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

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