cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.c4c9f0950c7a42d298ca25e4f6ba5542
title: NWM version 2.1 model output data retrieval

description: This resource provides users with valuable access to the NOAA National Water Model (NWM) CONUS Retrospective Dataset version 2.1. The data, offered in Zarr format, can be downloaded and converted into user-specific CSV files, corresponding to individual forecast points identified by the user. Accompanying the code, users will discover a comprehensive list of USGS stations, each corresponding to a forecast point from the NWM, aiding in the forecast precision and data extraction process. The resource is further enhanced by a station description file, providing in-depth information about various streams and drainage areas retrieved from the NHDPlus Version 2dataset. The combination of these tools and datasets offers an effective means to analyze and visualize hydrological conditions across the CONUS region, benefitting researchers, planners, and policy-makers in their water management decisions.
DOI: 10.4211/hs.dd17d7bdf25d4da0abeaf381c9fa2df0
title: Colorado River Basin Water Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use an interactive, online spreadsheet (Google Sheet) to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Water Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsInteractImmerseAdaptReservoirOperations.docx. Write up for publication as a journal article. Earlier cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.f5041b451e66468c962095f33683738a
title: National Water Model V2.1 Validation Period Streamflow Output Data

description: This resource contains data which underpins the National Water Model (NWM) version 2.1 analyses presented in the article "NOAA's National Water Model:  Advancing Operational Hydrology Through Continental-Scale Modeling" appearing in the Journal of the American Water Resources Association.  Please see the readme.txt file below for details on spatial and temporal coverage.
DOI: 10.15468/dl.t8p3xe
title: Occurrence Download

description: A dataset containing 378568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is USA.6_1",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 378568 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049967-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.b5f58460941c49578e311adb9823657a
title: National Water Model RouteLinks CSV

description: This resource contains "RouteLink" files for version 2.2.3 of the National Water Model which are used to associate feature identifiers for computational reaches to relevant metadata. These data are important for comparing NWM feature data to USGS streamflow and lake observations. The original RouteLink files are in NetCDF format and available here: https://www.nco.ncep.noaa.gov/pmb/codes/nwprod

This resource includes the files in a human-friendlier CSV format for easier use, and a machine-friendlier file in HDF5 format which contains a single pandas.DataFrame. The scripts and supporting utilities are also included for users that wish to rebuild these files. Source code is hosted here: https://github.com/jarq6c/NWM_RouteLinks
DOI: 10.4211/hs.34ce22e4df10463cb053bb63d19d6672
title: Franklin Basin, UT, USA Snow-On LiDAR

description: Snow-On LiDAR products for Franklin Basin, UT, USA. Digital elevation models (DEM) and Digital Surface models (DSM) for two dates, (March 28th, 2021, and April 1st, 2021) were derived from airplane-flown LiDAR. Full product metadata and instrument details may be found in the FranklinBasin_TPR.pdf file.
DOI: 10.4211/hs.20e84371f35746d48613038367ca49a4
title: Incorporating flowpaths as an explicit measure of river-floodplain connectivity to improve predictions of floodplain sediment deposition

description: 2D HEC-RAS simulated depths, velocities, water-surface elevations, and inundation boundaries from
Sumaiya, S., J.A. Czuba, J.T. Schubert, and J. E. Pizzuto (in review), Incorporating flowpaths as an explicit measure of river-floodplain connectivity to improve predictions of floodplain sediment deposition.

Overview of Flows.xlsx  -- provides an overview of all 18 steady-state flows simulated in the model with an index value (1-18), the discharge at the USGS 01627500 SOUTH RIVER AT HARRISTON, VA gage, and the "date" of the model simulation result.

Depth\
> This folder contains TIF files of the exported depth results from HEC-RAS. The date of the file name corresponds to the flows specified in the Excel spreadsheet.

Shear Stress\
> This folder contains TIF files of the exported shear stress results from HEC-RAS. The date of the file name corresponds to the flows specified in the Excel spreadsheet.

Velocity\
> This folder contains TIF files of the exported velocity results from HEC-RAS. The date of the file name corresponds to the flows specified in the Excel spreadsheet.

Inundation Boundary\
> This folder contains shape files of the exported inundation boundary results from HEC-RAS. The date of the file name corresponds to the flows specified in the Excel spreadsheet.
DOI: 10.4211/hs.27bad615474940f3b47224fca5334981
title: Python code for: Excluding quartz content from the estimation of saturated soil thermal conductivity: combined use of differential effective medium theory and geometric mean method

description: This dataset accompanies the paper "Excluding Quartz Content from the Estimation of Saturated Soil Thermal Conductivity: Combined use of Differential Effective Medium Theory and Geometric Mean Method," published in Agricultural & Forestry Meteorology. It contains the Python code that implements the DEM-GMM methodology developed by Fu et al. (2023). The code allows for the computation of saturated thermal conductivity in soils based on variables such as sand content, porosity, and temperature. The dataset offers flexibility in data input, permitting manual entry or data importation from an Excel spreadsheet. Prior to executing the Python code, it is highly recommended to read the accompanying document titled "ReadMeFirst" for essential guidelines. For comprehensive theoretical background and definitions used within the code, we refer users to our aforementioned publication.

Fu, Y., Jones, S., Horton, R., Heitman, J., 2023. Excluding quartz content from the estimation of saturated soil thermal conductivity: combined use of differential effective medium theory and geometric mean method. Agricultural and Forest Meterology (accepted).
DOI: 10.4211/hs.40b53984c1424a7a84eb605883b4d39a
title: Data from Voytek et al. (2016), Identifying hydrologic flowpaths on arctic hillslopes using electrical resistivity and self potential

description: Shallow subsurface flow is a dominant process controlling hillslope runoff generation, soil development, and solute reaction and transport. Despite their importance, the location and geometry of these flowpaths are difficult to determine. In arctic environments, shallow subsurface flowpaths are limited to a thin zone of seasonal thaw above permafrost, which is traditionally assumed to mimic surface topography. Here we use a combined approach of electrical resistivity tomography (ERT) and self-potential measurements (SP) to map shallow subsurface flowpaths in and around water tracks, drainage features common to arctic hillslopes. ERT measurements delineate thawed zones in the subsurface that control flowpaths, while SP is sensitive to groundwater flow. We find that areas of low electrical resistivity in the water tracks are deeper than manual thaw depth estimates and vary from surface topography. This finding suggests that traditional techniques may underestimate active layer thaw and the extent of the flowpath network on arctic hillslopes. SP measurements identify complex 3-D flowpaths in the thawed zone. Our results lay the groundwork for investigations into the seasonal dynamics, hydrologic connectivity, and climate sensitivity of spatially distributed flowpath networks on arctic hillslopes.
DOI: 10.4211/hs.73281b72562e437285f75b1e4d1ce186
title: Data Voytek et al. (2019). Transpiration- and precipitation-induced subsurface water flow observed using the self-potential method

description: Movement of soil moisture associated with tree root-water uptake is ecologically important but technically challenging to measure. Here, the self-potential (SP) method, a passive electrical geophysical method, is used to characterize water flow in situ. Unlike tensiometers, which use a measurement of state (i.e., matric pressure) at two locations to infer fluid flow, the SP method directly measures signals generated by water movement. We collected SP measurements in a two-dimensional array at the base of a Douglas-fir tree (Pseudotsuga menziesii) in the H.J. Andrews Experimental Forest in western Oregon over 5 months to provide insight on the propagation of transpiration signals into the subsurface under variable soil moisture. During dry conditions, SP data appear to show downward unsaturated flow, whereas nearby tensiometer data appear to suggest upward flow during this period. After the trees enter dormancy in the fall, precipitation-induced vertical flow dominates in the SP and tensiometer data. Diel variations in SP data correspond to periods of tree transpiration. Changes in volumetric water content occurring from soil moisture movement during transpiration are not large enough to appear in volumetric water content data. Fluid flow and electrokinetic coupling (i.e., electrical potential distribution) were simulated using COMSOL Multiphysics to explore the system controls on field data. The coupled model, which included a root-water uptake term, reproduced components of both the long-term and diel variations in SP measurements, thus indicating that SP has potential to provide spatially and temporally dense measurements of transpiration-induced changes in water flow. This manuscript presents the first SP measurements focusing on the movement of soil moisture in response to tree transpiration.
DOI: 10.4211/hs.4e9723d9937f4adfa7e6f588a2f77ba4
title: Data from the publication: Drought decreases water storage capacity of two arboreal epiphytes with differing ecohydrological traits

description: The attached datasets are from the publication: Drought decreases water storage capacity of two arboreal epiphytes with differing ecohydrological traits. Canopy epiphytes, plants that grow on trees, can have a significant influence on canopy water storage, interception, and precipitation fluxes. However, the drought response of the plants at a foliar level may influence their ability to store and capture rainfall. We experimentally tested the effects of leaf desiccation on water storage (Smax) and relevant leaf properties of two canopy epiphytes common in coastal maritime forests in Georgia, U.S.A. Full methodological information can be found in the publication listed under "Related Resources."
DOI: 10.15468/dl.rprhvv
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.69666 -14.08488,-60.30334 -14.08488,-60.30334 0.08488,-95.69666 0.08488,-95.69666 -14.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parkinsonia peruviana"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049984-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.90c94ca6fc4c42409261099265d8a54f
title: Pre-1910 Well Measurements in the United States

description: Here we present well water measurements that pre-date 1910. We compiled thousands (n=11, 375) of water level measurements reported in tables within US Geological Survey reports published in the early 1900s. 
 
Our search for data sources took place from May-June 2021; our data compilation and transcription took place from June-October 2021; our data cleaning occurred in November 2021. Please see our metadata for detailed information on the digitization process. 

Our data sources: 

(a) Crider, A. F. & Johnson, L. C. Summary of the underground-water resources of Mississippi. Water Supply Paper https://pubs.er.usgs.gov/publication/wsp159 (1906) doi:10.3133/wsp159.
(b) Darton, N. H. Preliminary list of deep borings in the United States. Preliminary list of deep borings in the United States vol. 149 180 http://pubs.er.usgs.gov/publication/wsp149 (1905).
(c) Fuller, M. L., Lines, E. F. & Veatch, A. C. Record of deep-well drilling for 1904. Record of deep-well drilling for 1904 vol. 264 106 http://pubs.er.usgs.gov/publication/b264 (1905).
(d) Fuller, M. L. & Sanford, S. Record of deep-well drilling for 1905. Record of deep-well drilling for 1905 vol. 298 299 http://pubs.er.usgs.gov/publication/b298 (1906).
(e) Veatch, A. C. Geology and underground water resources of northern Louisiana and southern Arkansas. Geology and underground water resources of northern Louisiana and southern Arkansas vol. 46 480 http://pubs.er.usgs.gov/publication/pp46 (1906).
DOI: 10.4211/hs.3d98a9e5a6d84020b72800fd27c87f9a
title: Data and Software for Effects of High-Quality Elevation Data and Explanatory Variables on the Accuracy of Flood Inundation Mapping via Height Above Nearest Drainage

description: This repository includes data and software for the paper titled: "Effects of High-Quality Elevation Data and Explanatory Variables on the Accuracy of Flood Inundation Mapping via Height Above Nearest Drainage" submitted to HESS June 2023.
DOI: 10.4211/hs.609b5b375a16404f9c4d14417264a7fb
title: Hydrologic modeling with meteorological forecasts for the PCJ basins

description: Collection of input data and model results for the investigation of hydrologic modeling techniques to support decision making in the Piracicaba, Capivari and Jundiaí watersheds (PCJ). The designed model couples rainfall-runoff and routing to estimate the necessary discharges in two reservoirs of the Cantareira System in order to fulfill the minimum mean discharge in two control sections downstream, one in Atibaia and another in Valinhos. Through groups of seven days of meteorological forecast data, the outflows are calculated along two years of simulation.
DOI: 10.4211/hs.96373768e610437087e1d414e101fbb0
title: Coweeta Creek Watershed Organic Carbon Sampling 2017-2019

description: The organic carbon data are from 22 headwater streams across seasonal and landscape temperature gradients in the southern Appalachian Mountains (USA) from 2017 to 2019. These data include litterfall measurements, lateral leaf litter inputs, instream standing stock measurements from both transect methods and benthic core samples, and dissolved organic carbon groundwater seeps.
DOI: 10.4211/hs.004d3b89bc804885bc2a259ba22a7e53
title: Data for "Influence of liquid splitting behavior at intersections on infiltration dynamics in an unsaturated fracture network"

description: This resource contains the data for the paper entitled "Influence of liquid splitting behavior at intersections on infiltration dynamics in an unsaturated fracture network." The parameters and the scripts for reproducing the figures are included.
DOI: 10.4211/hs.8b02895f02c14dd1a749bcc5584a5c55
title: A Database of Groundwater Wells in the United States

description: 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.
DOI: 10.4211/hs.793b01dd2b924bd0bf7ea695bbc8f0c8
title: Dataset for "Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements" article

description: This dataset is part of the article entitled "Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements" from Hoeltgebaum and Dias, submitted to the Agricultural and Forest Meteorology journal in July 2023.

This dataset contains processed data from 6 rain gauges, 10 snowboard measurement points, 2 discharge gages, measurements of latent heat flux and soil moisture (at 4 depths) for 3 AmeriFlux stations, and remote sensing data over 2 basins, such as NDVI, land surface radiation, and soil moisture. Estimates of storage and evapotranspiration over the basins are also included. More detail on the processing of data and methods of calculations can be seen in the main article.
DOI: 10.4211/hs.3dbf521c03134a19a138d192bbe676d0
title: Daily Database of Precipitation and Temperature in the Department of Cauca, Colombia

description: These data were used using the Kriging geostatistical methodology to reduce the spatial scale of a series of daily meteorological variables in the Department of Cauca, such as total precipitation and maximum, minimum and average temperature. The scaling process was applied to the available databases of satellite information and reanalysis sources, specifically ERA5-Land (European Center for Medium-Range Weather Forecasts) and MSWX (Multi-Source Weather). The 0.1° resolution provided by the MSWX and ERA5-Land databases was successfully downscaled to 0.01° on all variables.
DOI: 10.4211/hs.de8512bbe042468aa77bf8f69f20bddf
title: Oka' Yanahli (OK) Stream Temperature, Intermittency, and Conductivity Data

description: This resource contains data from stream temperature, intermittency, and conductivity (STIC) loggers placed at the Oka' Yanahli preserve (OK, USA) for February 15 to October 25, 2022 at 15 minute resolution as part of the NSF-funded Aquatic Intermittency effects on Microbiomes in Streams (AIMS) project (award IOA #2019603). 

The file OKA_SiteInfo.csv contains site locations for each sensor and has three fields:
 - siteID = name of site
 - lat = latitude of site
 - long = longitude of site

The file OKA_AllSTICsCleaned_20220215-20221025.csv contains the data and has the following fields:
 - datetime	= date and time of reading (time zone = UTC).
 - siteID = name of site for linking to file KNZ_SiteInfo.csv
 - SN = serial number of STIC logger used for that reading.
 - condUncal = uncalibrated (raw) conductivity output from the STIC
 - tempC = temperature [degrees Celsius]
 - SpC = specific conductviity	in us/cm
 - wetdry = binary classification of "wet" (water present) or "dry" (no water present) for that timestep
 - qual_rating = qualitative data rating crit (described below)
 - QAQC = flags from data QAQC process (described below)

Due to data logger errors, maintenance, etc. there are not data for all sites at all timesteps.

qual_rating description:
 - "excellent" = STIC was (1) calibrated prior to deployment, and (2) stayed operational throughout 95% of the download period, and (3) was not displaced from streambed (i.e., the external electrodes were within 1 cm from stream bed at the time of download indicating minimal erosion/deposition), and (4) data from sensor roughly agree with field observations of wet/dry (i.e., >1000 Lux sensor reading on day of removal corresponds to field observations of water at STIC).
 - "good" = (1) STIC stayed operational throughout the entire download period, and (2) the external electrodes were within 1 cm from stream bed at the time of download, and (3) data from sensor roughly agree with field observations of wet/dry, but (4) the STIC was not calibrated prior to deployment.
 - "fair" = (1) STIC stayed operational throughout 75% or more of the download period, and (2) data roughly agree with field observations, and/or (3) the external electrodes were between 1-3 cm from streambed at the time of download.
 - "poor" = (1) STIC stayed operational throughout less than 75% of the download period, and/or (2) the external electrodes were >3 cm from streambed at the time of download, and/or (3) data does NOT agree with field observations.
 
QAQC description:
 - "N" = application of calibration curve resulted in negative value for SpC; this was changed to a value of 0.
 - "A" = wetdry reading flagged as a potential anomaly (i.e., short period of dry surroudned by long period of wet or vice versa)
An empty field here indicates no flags were generated. If multiple flags were generated, they were concatenated.