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Resources","sub_category":"Water Supply and Quality","monthly_downloads":25077,"total_dependent_repos":11,"total_dependent_packages":8,"readme":"# dataretrieval: Download hydrologic data\n\n![PyPI - Version](https://img.shields.io/pypi/v/dataretrieval)\n![Conda Version](https://img.shields.io/conda/v/conda-forge/dataretrieval)\n![Downloads](https://static.pepy.tech/badge/dataretrieval)\n\n## Latest Announcements\n\n**02/24/2026** The `get_gwlevels`, `get_discharge_measurements` functions in the `nwis` module are defunct and have been replaced with the `get_field_measurements` function in the `waterdata` module. The `get_pmcodes` function in the `nwis` module has been replaced with the `get_reference_table(collection='parameter_code)` function. Finally, the `get_water_use` function in the `nwis` module is defunct with no current replacement.\n\n:mega: **01/16/2026:** `dataretrieval` now features the `waterdata` module,\nwhich provides access to USGS's modernized [Water Data\nAPIs](https://api.waterdata.usgs.gov/). The Water Data API endpoints include\ndaily values, instantaneous values, field measurements, time series metadata, statistics,\nand discrete water quality data from the [Samples database](https://waterdata.usgs.gov/download-samples/#dataProfile=site). This new module replaces the `nwis` module, which provides access to the legacy [NWIS\nWater Services](https://waterservices.usgs.gov/). Take a look at the new [`waterdata` module demo notebook](demos/WaterData_demo.ipynb), which walks through an extended example using a majority of the available `waterdata` functions.\n\nCheck out the [NEWS](NEWS.md) file for all updates and announcements.\n\n**Important:** Users of the Water Data APIs are strongly encouraged to obtain an\nAPI key for higher rate limits and greater access to USGS data. [Register for\nan API key](https://api.waterdata.usgs.gov/signup/) and set it as an\nenvironment variable:\n\n```python\nimport os\nos.environ[\"API_USGS_PAT\"] = \"your_api_key_here\"\n```\n\n## What is dataretrieval?\n\n`dataretrieval` simplifies the process of loading hydrologic data into Python.\nLike the original R version\n[`dataRetrieval`](https://github.com/DOI-USGS/dataRetrieval), it retrieves major\nU.S. Geological Survey (USGS) hydrology data types available on the Web, as well\nas data from the Water Quality Portal (WQP) and Network Linked Data Index\n(NLDI).\n\n## Installation\n\nInstall dataretrieval using pip:\n\n```bash\npip install dataretrieval\n```\n\nOr using conda:\n\n```bash\nconda install -c conda-forge dataretrieval\n```\n\nTo install the \"main\" branch directly from GitHub, use:\n\n```bash\npip install git+https://github.com/DOI-USGS/dataretrieval-python.git\n```\n\n## Usage Examples\n\n### Water Data API (Recommended - Modern USGS Data)\n\nThe `waterdata` module provides access to modern USGS Water Data APIs.\n\nSome basic usage examples include retrieving daily streamflow data for a\nspecific monitoring location, where the `/` in the `time` argument indicates\nthe desired range:\n\n```python\nfrom dataretrieval import waterdata\n\n# Get daily streamflow data (returns DataFrame and metadata)\ndf, metadata = waterdata.get_daily(\n    monitoring_location_id='USGS-01646500', \n    parameter_code='00060',  # Discharge\n    time='2024-10-01/2025-09-30'\n)\n\nprint(f\"Retrieved {len(df)} records\")\nprint(f\"Site: {df['monitoring_location_id'].iloc[0]}\")\nprint(f\"Mean discharge: {df['value'].mean():.2f} {df['unit_of_measure'].iloc[0]}\")\n```\nRetrieving streamflow at multiple locations from October 1, 2024 to the present:\n\n```python\ndf, metadata = waterdata.get_daily(\n    monitoring_location_id=[\"USGS-13018750\",\"USGS-13013650\"],\n    parameter_code='00060',\n    time='2024-10-01/..'\n)\n\nprint(f\"Retrieved {len(df)} records\")\n```\nRetrieving location information for all monitoring locations categorized as\nstream sites in the state of Maryland:\n\n```python\n# Get monitoring location information\ndf, metadata = waterdata.get_monitoring_locations(\n    state_name='Maryland',\n    site_type_code='ST'  # Stream sites\n)\n\nprint(f\"Found {len(df)} stream monitoring locations in Maryland\")\n```\nFinally, retrieving continuous (a.k.a. \"instantaneous\") data\nfor one location. We *strongly advise* breaking up continuous data requests into smaller time periods and collections to avoid timeouts and other issues:\n\n```python\n# Get continuous data for a single monitoring location and water year\ndf, metadata = waterdata.get_continuous(\n    monitoring_location_id='USGS-01646500', \n    parameter_code='00065',  # Gage height\n    time='2024-10-01/2025-09-30'\n)\nprint(f\"Retrieved {len(df)} continuous gage height measurements\")\n```\n\nVisit the\n[API Reference](https://doi-usgs.github.io/dataretrieval-python/reference/waterdata.html)\nfor more information and examples on available services and input parameters. \n\n**NEW:** This new module implements\n[logging](https://docs.python.org/3/howto/logging.html#logging-basic-tutorial)\nin which users can view the URL requests sent to the USGS Water Data APIs\nand the number of requests they have remaining each hour. These messages can\nbe helpful for troubleshooting and support. To enable logging in your python\nconsole or notebook:\n\n```python\nimport logging\nlogging.basicConfig(level=logging.INFO)\n``` \nTo log messages to a file, you can specify a filename in the\n`basicConfig` call:\n\n```python\nlogging.basicConfig(filename='waterdata.log', level=logging.INFO)\n```\n\n### Legacy NWIS Services (Deprecated but still functional)\n\nThe `nwis` module accesses legacy NWIS Water Services:\n\n```python\nfrom dataretrieval import nwis\n\n# Get site information\ninfo, metadata = nwis.get_info(sites='01646500')\n    \nprint(f\"Site name: {info['station_nm'].iloc[0]}\")\n\n# Get daily values\ndv, metadata = nwis.get_dv(\n  sites='01646500',\n  start='2024-10-01',\n  end='2024-10-02',\n  parameterCd='00060',\n)\n    \nprint(f\"Retrieved {len(dv)} daily values\")\n```\n\n### Water Quality Portal (WQP)\n\nAccess water quality data from multiple agencies:\n\n```python\nfrom dataretrieval import wqp\n\n# Find water quality monitoring sites\nsites = wqp.what_sites(\n    statecode='US:55',  # Wisconsin\n    siteType='Stream'\n)\n\nprint(f\"Found {len(sites)} stream monitoring sites in Wisconsin\")\n\n# Get water quality results\nresults = wqp.get_results(\n    siteid='USGS-05427718',\n    characteristicName='Temperature, water'\n)\n\nprint(f\"Retrieved {len(results)} temperature measurements\")\n```\n\n### Network Linked Data Index (NLDI)\n\nDiscover and navigate hydrologic networks:\n\n```python\nfrom dataretrieval import nldi\n\n# Get watershed basin for a stream reach\nbasin = nldi.get_basin(\n    feature_source='comid',\n    feature_id='13293474'  # NHD reach identifier  \n)\n\nprint(f\"Basin contains {len(basin)} feature(s)\")\n\n# Find upstream flowlines\nflowlines = nldi.get_flowlines(\n    feature_source='comid',\n    feature_id='13293474',\n    navigation_mode='UT',  # Upstream tributaries\n    distance=50  # km\n)\n\nprint(f\"Found {len(flowlines)} upstream tributaries within 50km\")\n```\n\n## Available Data Services\n\n### Modern USGS Water Data APIs (Recommended)\n- **Daily values**: Daily statistical summaries (mean, min, max)\n- **Instantaneous values**: High-frequency continuous data\n- **Field measurements**: Discrete measurements from field visits\n- **Monitoring locations**: Site information and metadata\n- **Time series metadata**: Information about available data parameters\n- **Latest daily values**: Most recent daily statistical summary data\n- **Latest instantaneous values**: Most recent high-frequency continuous data\n- **Daily, monthly, and annual statistics**: Median, maximum, minimum, arithmetic mean, and percentile statistics\n- **Samples data**: Discrete USGS water quality data\n\n### Legacy NWIS Services (Deprecated)\n- **Daily values (dv)**: Legacy daily statistical data\n- **Instantaneous values (iv)**: Legacy continuous data\n- **Site info (site)**: Basic site information  \n- **Statistics (stat)**: Statistical summaries\n- **Discharge peaks (peaks)**: Annual peak discharge events\n\n### Water Quality Portal\n- **Results**: Water quality analytical results from USGS, EPA, and other agencies\n- **Sites**: Monitoring location information\n- **Organizations**: Data provider information\n- **Projects**: Sampling project details\n\n### Network Linked Data Index (NLDI)\n- **Basin delineation**: Watershed boundaries for any point\n- **Flow navigation**: Upstream/downstream network traversal\n- **Feature discovery**: Find monitoring sites, dams, and other features\n- **Hydrologic connectivity**: Link data across the stream network\n\n## More Examples\n\nExplore additional examples in the\n[`demos`](https://github.com/USGS-python/dataretrieval/tree/main/demos)\ndirectory, including Jupyter notebooks demonstrating advanced usage patterns.\n\n## Getting Help\n\n- **Issue tracker**: Report bugs and request features at https://github.com/USGS-python/dataretrieval/issues\n- **Documentation**: Full API documentation available in the source code docstrings\n\n## Contributing\n\nContributions are welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for\ndevelopment guidelines.\n\n## Acknowledgments\n\nThis material is partially based upon work supported by the National Science\nFoundation (NSF) under award 1931297. Any opinions, findings, conclusions, or\nrecommendations expressed in this material are those of the authors and do not\nnecessarily reflect the views of the NSF.\n\n## Disclaimer\n\nThis software is preliminary or provisional and is subject to revision. It is\nbeing provided to meet the need for timely best science. The software has not\nreceived final approval by the U.S. Geological Survey (USGS). No warranty,\nexpressed or implied, is made by the USGS or the U.S. Government as to the\nfunctionality of the software and related material nor shall the fact of release\nconstitute any such warranty. The software is provided on the condition that\nneither the USGS nor the U.S. Government shall be held liable for any damages\nresulting from the authorized or unauthorized use of the software.\n\n## Citation\n\nHodson, T.O., Hariharan, J.A., Black, S., and Horsburgh, J.S., 2023,\ndataretrieval (Python): a Python package for discovering and retrieving water\ndata available from U.S. federal hydrologic web services: U.S. Geological Survey\nsoftware release, https://doi.org/10.5066/P94I5TX3.\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5066/P94I5TX3"],"works":{"https://doi.org/10.5066/P94I5TX3":null},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["hydrology","usgs","water","groundwater","ows","climate","modflow","prms"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/64188","html_url":"https://ost.ecosyste.ms/projects/64188"}