Groundwater wells are critical infrastructure that enable the monitoring, extraction, and use of groundwater, which has important implications for the environment, water security, and economic development. Despite the importance of wells, a unified database collecting and standardizing information on the characteristics and locations of these wells across the United States has been lacking. To bridge this gap, we have created a comprehensive database of groundwater well records collected from state and federal agencies, which we call the United States Groundwater Well Database (USGWD). Presented in both tabular form and as vector points, the USGWD comprises over 14.2 million well records with attributes such as well purpose, location, depth, and capacity for wells constructed as far back as 1763 to 2023. Rigorous cross-verification steps have been applied to ensure the accuracy of the data. The USGWD stands as a valuable tool for improving our understanding of how groundwater is accessed and managed across various regions and sectors within the United States.

Here we present a geospatial dataset representing local- and regional-scale aquifer system boundaries, defined on the basis of an extensive literature review and published in GebreEgziabher et al. (2022). Nature Communications, 13, 2129, https://www.nature.com/articles/s41467-022-29678-7

The database contains 440 polygons, each representing one study area analyzed in GebreEgziabher et al. (2022). The attribute table associated with the shapefile has two fields (column headings): (1) aquifer system title (Ocala Uplift sub-area of the broader Floridan Aquifer System), and (2) broader aquifer system title (e.g., the Floridan Aquifer System).

• to explore the available data via an interactive app please visit the following URL: https://ucsb.maps.arcgis.com/apps/instant/nearby/index.html?appid=2a238e4ed2434d21b3b53c861a064d8f
• to explore the 3D nature of a dozen aquifer systems please see the following storymap: https://storymaps.arcgis.com/stories/a91f061759e64e44af38daf6cefa4259

Collection of presentations I have given about the HydroShare project

HydroShare is the web-based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI). Acting as a cloud-hosted repository, it allows researchers, educators, and water-resources professionals to upload, curate, publish, and permanently archive heterogeneous hydrologic data sets and computational models in many flexible formats. Each resource receives a persistent Digital Object Identifier (DOI), making it immediately citable, shareable, and discoverable through standard scholarly search engines. Beyond storage, HydroShare fosters collaboration: project members can organise resources into collections, set fine-grained privacy controls, and work together in real time within a browser-based workspace that eliminates file-exchange hassles. Integrated web applications—ranging from Python notebooks to map-centric visualisation and model-running tools—let users analyse or re-run data directly where it lives, providing a gateway to cloud computing. The platform is continually enhanced by CUAHSI’s development team under National Science Foundation awards ACI-1148453, ACI-1148090, EAR-1338606, OAC-1664018, OAC-1664061, and OAC-1664119.

The goal of HydroShare is to advance hydrologic science by enabling the water-resources community to more easily and freely share products resulting from their research and/or data collection.

This presentation will introduce HydroShare, a repository developed for sharing data and models within the hydrology and water resources community served by CUAHSI. It will describe HydroShare functionality for capturing and holding metadata as well as tools for acting on data in HydroShare that make data sharing attractive beyond open data mandates and enable problem solving through data integration. I will discuss lessons learned and challenges we still face in the management and reuse of water related data for integrated problem solving.

This HydroShare resource is intended to serve as the evolving publication list for HydroShare. All HydroShare team members should have edit access to this resource so everyone on the team can update this resource with new publications over time.

This resource represents new contributions to the national water service boundaries dataset, which also functions as the geoconnex.us reference feature set. This resource is managed by a workflow that incorporates community contributions to supplement, and intended to replace polygons available from https://www.hydroshare.org/resource/20b908d73a784fc1a097a3b3f2b58bfb . This workflow is available here: https://github.com/cgs-earth/ref_pws

HydroShare Test File for FAIR Assessment

This resource comprises various files pertaining to time series data, particularly focusing on NWM (National Water Model) short-range forecast and USGS observations of streamflow data for three stations, measured in cubic feet per second (cfs). I added some spatial datasets in the form of vector and raster datasets just for one specific research area. The contents of each file serve distinct purposes: - "USGS Observation and NWM Outputs" is consisted of merged NWM forecast and USGS observation data; -"Data types" highlights some information including coordinates and reach ID and gage ID for specific locations in Arizona, Nevada, and Wisconsin in the USA; - "Results" showcases images associated with the statistical metrics for aforementioned locations, offering visual insights into data analysis outcomes; -"Data Collection and Analysis" summarizes merged data from the NWM and USGS, accompanied by statistical metrics for analysis; - "LSTM Paper" presents an incomplete paper on LSTM models application to the dataset, necessitating revision and completion in the near future; -"Big Sandy River " includes Vector data (shapefiles) for the delineated watershed shapefiles. -"Big Sandy River " includes the raster data for the delineated watershed which contains big sandy river. -"Arizona Raster" determines the raster data for Arizona state.

Presentation at AWRA National Conference in Salt Lake City. November 4, 2019.

HydroShare (www.hydroshare.org) is a hydrology-domain specific data and model repository operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). HydroShare’s goal is to advance hydrologic science by enabling researchers to more easily share data, model and workflow products resulting from their research, creating and supporting reproducibility of the results reported in scientific publications. It supports the growing call for open data that is findable, accessible, interoperable and reusable (FAIR). HydroShare is comprised of two sets of functionality: (1) a repository for users to share and publish data and models, collectively referred to as resources, in a variety of formats, and (2) web application tools that can act on content in HydroShare for computational and visual analysis. Together these serve as a platform for collaboration and gateway for computation that integrates data storage, organization, discovery, and analysis and that allows researchers to employ services beyond their desktop computers to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results. This presentation will describe ongoing enhancements to HydroShare and some of the challenges being faced in its design and ongoing development. We report on efforts to refine the way data and model content are formatted and stored within the system to better support storage, management, and sharing of the diverse data involved with hydrologic data and model studies. We have developed techniques that enable scientists to organize and package data and models within a single shareable unit, while still providing value-added tools for known data types. Additionally, access to reproducible and easy to use computational functionality is being advanced using JupyterHub as a gateway to computing resources. This collaborative and computational functionality provides an important incentive by providing users with immediate value, while meeting open data mandates and sharing data using open standards.

This collection aggregates educational resources for instructors teaching hydrology, water resources, and related fields. Entries in this collection are owned and managed by the creators of the items within this collection - this entry serves to provide a single location to organize these files.

Attribution of content should be to the authors who have contributed in the 'collection contents', not to this HydroShare entry.

Presentation on managing and sharing research data using HydroShare for USU Climate Adaptation Class 2/2/17. Topics covered: 1. Bare essentials of data management 2. HydroShare overview 3. HydroShare Demo

This is an overview of the status of the HydroShare project for the CUAHSI Informatics Standing Committee.

In the past several decades, field studies have shown that woody plants can access substantial volumes of water from the pores and fractures of bedrock. If, like soil moisture, rock moisture serves as an important source of plant-available water, then conceptual paradigms regarding water and carbon cycling may need to be revised to incorporate bedrock properties and processes. Here we present a lower-bound estimate of the contribution of bedrock water storage to transpiration across the continental United States using distributed, publicly available datasets. Temporal and spatial patterns of bedrock water use across the continental United States indicate that woody plants extensively and routinely access rock moisture for transpiration across diverse climates and biomes. Bedrock water access is not confined to extreme drought conditions. On an annual basis in California, the volumes of bedrock water transpiration exceed the volumes of water stored in human-made reservoirs, and woody vegetation that accesses bedrock water accounts for over 50 per cent of the aboveground carbon stocks in the state. Our findings indicate that, like soil moisture, rock moisture is a critical component of terrestrial water and carbon cycling.

CODE AVAILABLE ON GITHUB: https://github.com/erica-mccormick/widespread-bedrock-water-use FOR MORE INFORMATION, SEE WEBPAGE: https://erica-mccormick.github.io/widespread-bedrock-water-use/

Advances in many domains of earth science increasingly require integration of information from multiple sources, reuse and repurposing of data, and collaboration. HydroShare is a web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). HydroShare includes a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with a gateway to high performance computing and computing in the cloud. Jupyter notebooks, and associated code and data are an effective way to document and make a research analysis or modeling procedure reproducible. This presentation will describe how a Jupyter notebook in a HydroShare resource can be opened from a JupyterHub app using the HydroShare web app resource and API capabilities that enable linking a web app to HydroShare, reading of data from HydroShare and writing of results back to the HydroShare repository in a way that results can be shared among HydroShare users and groups to support research collaboration. This interoperability between HydroShare and other cyberinfrastructure elements serves as an example for how EarthCube cyberinfrastructure may integrate. Base functionality within JupyterHub supports data organization, simple scripting and visualization, while Docker containers are used to encapsulate models that have specific dependency requirements. This presentation will describe the strategy for, and challenges of using models in Docker containers, as well as using Geotrust software to package computational experiments as 'geounits', which are reproducible research objects that describe and package computational experiments.

Presentation at EarthCube all hands meeting, June 6-8, 2018, Washington, DC https://www.earthcube.org/ECAHM2018

This document outlines the deployment of the HydroShare (https://github.com/hydroshare/hydroshare) application and it's components in a production manner. CentOS 7 (https://wiki.centos.org) will be used for purposes of documentation on a standard platform.

This short video will introduce HydroShare’s data archiving capabilities to automatically extract metadata and to control access to your data.

This resource is used to help me understand how to make a resource public