cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.61655dd48ac2435c976cf9bb8acefc92
title: Storm surges, Hydrodynamics and Vegetation Surveys in Monie Bay, MD, USA (2015-2016)

description: These datasets include measurements of hydrodynamic (currents and water levels) and wave conditions, vegetation bio-mechanic characteristics (biomass, stem height, diameter, and density), and topo-bathymetric features during the period of (2015-2016) that were measured in the field during extreme events, regular tidal cycles, and over different seasons. This dataset provides the information for the campaigns in Monie Bay, Maryland, USA. Hydrodynamic measurements were carried out with Acoustic Doppler Current Profilers (ADCPs) (Aquadopp Nortek 2 MHz) and RBR D-wave sensors; vegetation surveys included the measurements of vegetation height, diameter and stem spacing using randomly placed 0.25 m2 quadrats on the ground surface. The sensors, topo-bathy data and vegetation measurement’s locations are georeferenced using a differential GPS Trimble R4. SAV measurements (when present) were carried out by using haphazardly placed 0.25m2 quadrats. At each site, the team measured: 1) total SAV percent cover, 2) percent cover of each individual species, 3) canopy height, 4) epiphyte presence on SAV leaf blades, and 5) water depth. 
This field work is part of the project “Quantifying storm surge attenuation by wetlands” funded by the US Department of the Interior (DOI) & National Fish and Wildlife Foundation (NFWF) as part of the Hurricane Sandy Relief Program (Award#43932). The project is a collaboration between George Mason University and the United Stated Geological Survey (USGS). This project quantified the ability of salt marshes in the Chesapeake Bay to attenuate coastal hazards; including the attenuation of storm surge and the reduction of wave energy by these natural ecosystems. The project documented the interaction of storm surges and waves with marshes by measuring hydrodynamic conditions in the field during extreme events (waves, currents and water levels), vegetation characteristics and topo-bathymetric surveys in 4 natural preserves in the Chesapeake Bay during the extent of the project, including several coastal storms and hurricanes.
DOI: 10.4211/hs.bfdfd782ffc74c42b0347690ae543961
title: EU-MOHP v013.1.0 Code

description: This resource contains the code to generate the EU-MOHP v013.1.0 dataset as static code repository. For updates of the code and further information, please visit the corresponding Github repository: https://github.com/MxNl/macro_mohp_feature. The EU-MOHP v013.1.0 dataset can be downloaded here: https://doi.org/10.4211/hs.0f02af18e5344ae7a65dfa7fe1444f34
DOI: 10.4211/hs.d8c43e1e8a5a4872bc0b75a45f350f7a
title: Exported french water quality and quantity data

description: Exported water quality (NO3, PO4, DOC) and discharge time series of 486 french cathcments. Data are publicly available at http://naiades.eaufrance.fr/ and http://hydro.eaufrance.fr/.
DOI: 10.4211/hs.c169de42e6174baf842a319efe28a75e
title: Spatial Variability and Estimation of Groundwater Flux from Local Discharge Measurements

description: We applied a recently developed automated seepage meter (ASM) in streambeds in the Nebraska Sand Hills, USA in five dense arrays over areas 13.5 m2 – 28.0 m2 each (169 points total), to investigate the small-scale spatial variability of groundwater seepage flux (specific discharge, q). Streambed vertical hydraulic conductivity (K) was also measured. Results provided: (a) high-resolution contour plots of q and K, (b) anisotropic semi-variograms demonstrating greater correlation scales of q and K along the stream length than across the stream width, and (c) the number of rows of points (perpendicular to streamflow) needed to represent the groundwater flux of areas up to 28.0 m2. 
To investigate the ability of the seepage meter to produce accurate mean q at larger scales, seepage meters were deployed in four stream reaches (170 – 890 m), arranged in three to six transects per reach across the channel. Each transect consisted of three to eight points evenly spaced across the stream width. In each reach, the mean q value from the seepage meters was compared to a q value based on stream discharge measurements from chemical tracer dilution and an acoustic Doppler velocimeter. Reach-scale estimates of q from seepage meters and from stream discharge data generally agreed within measurement error. The results indicate the viability of a modest number of seepage meter measurements to determine the overall groundwater flux to the study stream and can guide sampling campaigns for groundwater studies.
DOI: 10.4211/hs.e4c08ffba98746d7a8b3700723f24dcb
title: Recharge Suitability Mapping for Jordan Valley

description: As part of a larger collaboration between the USGS, USAID, and partners in Jordan and Lebanon, we developed an open-source and interactive web application that allows users to classify, weight, and combine layers to produce suitability maps easily and transparently. The user can choose how to make suitability classifications within each spatial layer, how to apply relative weights to different spatial layers, and observe how those changes affect the resulting suitability map and distribution of suitability scores across the landscape. The application has two pre-loaded spatial layers describing modeled runoff and surface slope and uses a simplified version of suitability mapping. Values within each input layer are classified as having either “Good” or “Poor” suitability, based on a user-supplied threshold value chosen using interactive sliders. Those layers are then weighted based on user-supplied weights and linearly aggregated to create a final suitability map.
The application is not meant as a substitute for more formal suitability mapping techniques. Rather, the web application is presented as a tool aimed at end-users and stakeholders as a way to increase transparency and process-understanding throughout the development of suitability mapping. We use example data from the Jordan Valley, a subset of our full project region to demonstrate the capabilities of the application. The web application was written in R (v 4.0.3) with shiny package (v 1.0.6). This resource will be updated with a link to the full project when the project report is published.
DOI: 10.4211/hs.8548dc86068f42309d1d62ce7cbf1bbb
title: Data for Ponte Nuovo Station

description: Flow parameters are given for Ponte Nuovo site of Tiber river
DOI: 10.4211/hs.d3b23a5e59cb408c8953b6eff2ee7b73
title: GMS MODFLOW Simulations of Beaver-Mimicry Stream Restoration

description: We used MODFLOW 2000, with the GMS v. 9.2 GUI, to developed groundwater models to investigate the effects of installing a single beaver-mimicry structure (BMS) using different restoration designs in varied hydrogeologic settings. Five BMR treatment configurations were simulated in each hydrogeological setting (a total of 18 modeling scenarios). These treatments included installation of a BMS that creates: (1) an on-channel pond (S), (2) an on-channel pond with seasonal reactivation of a side channel near the stream (NC), (3) an on-channel pond with seasonal reactivation of a side channel further from the stream (FC), (4) an on-channel pond with seasonal inundation of the floodplain (FI), and (5) an on-channel pond with seasonal filling of an off-channel pond (OC). Three versions of each modeling scenario were developed to simulate differing hydrogeologic settings, where the boundary conditions were defined to simulate a stream reach that was generally gaining (G), losing (L), or strongly losing (SL) within the model domain. These 18 models are stored here.
DOI: 10.4211/hs.dc8fd2aad42e40ebb7f441bb2afc6751
title: CESEP Brine Leakage Monitoring Experiments

description: The Center for Experimental Study of Subsurface Environmental Processes (CESEP) conducted an intermediate-scale laboratory experiment to validate a developed framework for designing CO2-sequesteration monitoring systems based on using brine leakage as an early indictor for CO2 leakage. The developed framework incorporates the linear uncertainty analysis tool in PEST with the global optimizer of Genetic Algorithm and a FEFLOW-based transport model to find the best monitoring locations to detect the leakage and provide the designer with useful data to make remediation-related predictions. In an ~8m long soil tank, a brine leakage plume from the storage zone to the shallow aquifer was monitored using the system designed by this framework. The collected high-resolution data was then used to calibrate the model and make the predictions of interest, which were eventually compared to experimental measurements to evaluate the data informativity and thus validate the framework applicability. Acquired data from the monitoring system included transient measurements of the hydraulic heads and plume concentrations. In additions, the tracer injection rates, tank inflows and outflows were also measured. The conducted experiment and the testing system are described in detail in a research article developed by the dataset authors and entitled "Monitoring Brine Leakage from Deep Geologic Formations Storing Carbon Dioxide: Design Framework Validation Using Intermediate-Scale Experiment". For any questions, users are referred to the data owners.
DOI: 10.15468/dl.2ccex8
title: Occurrence Download

description: A dataset containing 64740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Amazona aestiva"
 ]
}

 The dataset includes 64740 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049925-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.928632f2ebcb42c59a3c2e6e6d588bcc
title: 10-min resolution time series (2018 - 2020) of stream water and near-stream groundwater levels at two Mediterranean catchments located in northeastern Spain: the sub-humid Font del Regàs and the semi-arid Fuirosos

description: This dataset presents 10-min resolution time series of stream water (Sw) and near-stream groundwater (Gw) levels for the period September 2018 to March 2020 at two Mediterranean catchments located in northeastern Spain: the sub-humid Font del Regàs (total drainage area = 15.5 km2, drainage area of the measurement location = 14.2 km2), and the semi-arid Fuirosos (total drainage area = 16.5 km2, drainage area of the measurement location = 9.9 km2).
DOI: 10.4211/hs.7ada4439903f4156be3143e36a9693c7
title: Soil microorganisms regulate extracellular enzyme production to maximize their growth rate

description: Soil carbon cycling and ecosystem functioning can strongly depend on how microbial communities regulate their metabolism and adapt to changing environmental conditions to improve their fitness. Investing in extracellular enzymes is an important strategy for the acquisition of resources, but the principle behind the trade-offs between enzyme production and growth is not entirely clear. In the paper associated to this resource, we show that the enzyme production rate per unit biomass may be regulated in order to maximize the biomass specific growth rate. Here we provide the Mathematica code, with data embedded, used to draw the Figures.
DOI: 10.15468/dl.s2zvz8
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Russian Federation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinanthus glaber"
 ]
}

 The dataset includes 87 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049959-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.51e0247d059c473dab9418390c7a4b67
title: Station Nord

description: Here we report how inputs of meteoric water affect the physical and biogeochemical properties of both the water column and sea ice cover on the Wandel Sea shelf, northeastern Greenland, during spring 2015. Depleted 18O observed in the water column, with surface water as low as –16.3 ‰, suggest a strong input of meteoric water (i.e., water derived from precipitation). Depleted 18O observed within sea ice (from –21.5 to –8.0 ‰) reflect its formation from already depleted surface water. In addition, the thick snow cover present during the survey promotes the formation of snow ice as well as insulates the ice cover. Within sea ice, the relatively warm temperature and low salinity impeded impedes ikaite formation. However, measurements of total dissolved inorganic carbon and total alkalinity indicate the dissolution of calcium carbonate as the main process affecting the carbonate system in both sea ice and the water column. Therefore, we propose that carbonate minerals, released along with glacial drainage, dissolve in both sea ice and the water column, affecting the carbonate system. This suggests that increasing inputs of glacial meltwater may compensate for the lack of ikaite precipitation within sea ice by increasing glacier-derived carbonate minerals to the ocean and incorporation within the ice structure. If widespread in glacial-fed waters, bedrock carbonate minerals could increase CO2 sequestration in glacial catchments despite the weakening of the sea ice carbon pump.
DOI: 10.4211/hs.978800dab1b04e2d95a5af944963af3f
title: Synoptic soil moisture measured at plot scales across the Mid-Atlantic region

description: This file contains the raw synoptic soil moisture measurements reported and analyzed in Scaife et al., 2021. In this study, we synthesized measurements of soil moisture collected at the plot scale (defined as an area less than 100 m2) from across 212 sites in eight catchments over three regions of the eastern U.S. These sites included a range of land uses, landcovers, geomorphology, and soil conditions. Soil moisture was measured by several researchers over a period from 2001 to 2015 using comparable methods. The sampling strategies focused on spatial variation in soil moisture at plot and hillslope scales to capture spatial patterns within plots and along hillslopes. As a result, all sites were sampled from riparian or near stream to upland although there were variable arrangements of sampling plots within each watershed. Plots were sampled on weekly to monthly intervals depending on the site and season. 

Soil moisture was measured using a standard handheld TH2O Thetaprobe ML2x (Dynamax, Inc, Houston, TX) to a 6 cm depth equal to the prong length. To insert the probe, the organic rich litter layer was removed exposing mineral soil and the probe was vertically inserted. Measurements were replicated 10 to 20 times per plot and made 24 hours or more after rainfall cessation to minimize the impacts of storms. Locations of each individual measurement within a 25 m2 plot was determined using a “random walk”. Replicating soil moisture measurements 10 to 20 times in each plot provides greater confidence in estimates of average soil moisture and helps characterize spatial heterogeneity of soil moisture at a given wetness level. Soil moisture was reported as the volumetric water content which relates the volume of water to the volume of soil with units vol/vol.

For more information, see the published manuscript: Scaife, C.I., Duncan, J.M., Lin, L., Tague, C., Band L.E. (2021). Are spatial patterns of soil moisture at plot scales generalizable across catchments, climates, and other characteristics? A synthesis of synoptic soil moisture across the Mid-Atlantic. Hydrological Processes.
DOI: 10.4211/hs.0a7735b121f845f7ab0d1ac6348d9980
title: SWAT model Instances for "Quantifying nitrate leaching to groundwater from a corn-peanut rotation under a variety of irrigation and nutrient management practices in the Suwannee River Basin, Florida"

description: The Soil and Water Assessment Tool (SWAT) was used to simulate crop yields and nitrate leaching for corn-peanut rotations under a variety of nutrient and irrigation management practices in the Suwannee River Basin (Florida), where groundwater feeds springs that are protected by a federally mandated nutrient criteria of 0.35 mg/L Nitrate-Nitrogen (NO3-N). Data from a field experiment of nine irrigation and nitrogen (N) management treatments were used to calibrate SWAT, with good to excellent results (Nash Sutcliffe Efficiencies from 0.72 to 0.97 for soil moisture, 0.85–0.96 for crop yield, 0.48–0.96 for crop N uptake, and 0.15–0.82 for soil nitrate). The calibrated model was then used to quantify differences in crop yields, irrigation applied and nitrate leaching among practices over a range of historical weather. Soil moisture sensor-based irrigation with 246 kg N/ha for corn and 0 kg N/ha for peanut showed no statistical difference in yields compared to common practices in the region (calendar-based irrigation, fertilization of 336 kg N/ha corn and 17 kg N/ha peanut), while reducing N leaching by 40% and irrigation applied by 45% (reductions of ~70 kg N/ha/ yr and ~300 mm/year, respectively). Planting a rye cover crop during the fallow season reduced leaching by an additional ~50 N/ha/yr for all treatments. These results show the potential for widespread adoption of nutrient and water conservation practices to achieve the reductions in NO3-N load needed to meet environmental and regulatory goals without impacting crop yields.  

This work is published in Rath S. , M. Zamora-Re, W. Graham, M. Dukes, and D. Kaplan, Quantifying nitrate leaching to groundwater from a corn-peanut rotation under a variety of irrigation and nutrient management practices in the Suwannee River Basin, Florida, Agricultural Water Management. https://doi.org/10.1016/j.agwat.2020.106634 , 2021.   

 Experimental data used to calibrate and validate the model is archived at Zamora-Re, M., J. Merrick, M. Dukes (2021). Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) – Field trial data from Live Oak, Florida. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1521079.
DOI: 10.4211/hs.1a6f403d90a542f6b0770d19ee5e8341
title: Ahammad_JGR-ES_2021

description: This resource complies the data in support of the publication:
Ahammad, M., J.A. Czuba, A. Pfeiffer, B.P. Murphy, and P. Belmont (2021), Simulated dynamics of mixed versus uniform grain size sediment pulses in a gravel-bedded river, Journal of Geophysical Research – Earth Surface, 126, e2021JF006194. https://doi.org/10.1029/2021JF006194

It includes:
-- code that runs the model in MATLAB
-- model inputs of river width and slope
-- surveyed GSD of the bed surface
-- conditioned GSD used for modeling
-- simulated sediment pulse movement from the river network from Ahammad et al., 2021, JGR
-- simulated summary results from Ahammad et al., 2021, JGR
DOI: 10.4211/hs.fe9d240438914634abbfdcfa03bed863
title: Data and Code Release: Pervasive Changes in Stream Intermittency Across the United States (published in Environmental Research Letters)

description: Data and code associated with the publication "Pervasive changes in stream intermittency across the United States" by Samuel C. Zipper et al., published in Environmental Research Letters. Link to paper: https://doi.org/10.1088/1748-9326/ac14ec

When using this dataset, please cite the published paper::
Zipper, S. C., Hammond, J. C., Shanafield, M., Zimmer, M., Datry, T., Jones, C. N., … Allen, D. C. (2021). Pervasive changes in stream intermittency across the United States. Environmental Research Letters, 16(8), 084033. https://doi.org/10.1088/1748-9326/ac14ec


Abstract for paper:
Non-perennial streams are widespread, critical to ecosystems and society, and the subject of ongoing policy debate. Prior large-scale research on stream intermittency has been based on long-term averages, generally using annually aggregated data to characterize a highly variable process. As a result, it is not well understood if, how, or why the hydrology of non-perennial streams is changing. Here, we investigate trends and drivers of three intermittency signatures that describe the duration, timing, and dry-down period of stream intermittency across the continental United States (CONUS). Half of gages exhibited a significant trend through time in at least one of the three intermittency signatures, and changes in no-flow duration were most pervasive (41% of gages). Changes in intermittency were substantial for many streams, and 7% of gages exhibited changes in annual no-flow duration exceeding 100 days during the study period. Distinct regional patterns of change were evident, with widespread drying in southern CONUS and wetting in northern CONUS. These patterns are correlated with changes in aridity, though drivers of spatiotemporal variability were diverse across the three intermittency signatures. While the no-flow timing and duration were strongly related to climate, dry-down period was most strongly related to watershed land use and physiography. Our results indicate that non-perennial conditions are increasing in prevalence over much of CONUS and binary classifications of ‘perennial’ and ‘non-perennial’ are not an accurate reflection of this change. Water management and policy should reflect the changing nature and diverse drivers of changing intermittency both today and in the future.
DOI: 10.4211/hs.13f2735419cf4d2cac8ab353725e3145
title: Bothnian Bay - Sea ice

description: Landfast sea ice biogeochemical properties and in the Bothnian Bay (Northern Baltic Sea) and concentrations of  greenhouse gases, including carbon dioxide ( (CO2, ), methane (CH4, ) and nitrous oxide (and N2O) in both sea ice and water column.
Data from Geilfus et al (2021) submitted to Elementa: journal of the anthropocene, Potential role of the landfast sea ice in the Bothnian Bay (Baltic sea Sea) ice:as a temporary storage compartment for greenhouse gases.
DOI: 10.4211/hs.945d7b4f61d145d789eb090f0bf51cb5
title: ClimEx Hydro-SMILE Bavaria: peak-over-threshold precipitation and corresponding flood events

description: This dataset provides extreme precipitation and corresponding high flow events for 78 catchments in Bavaria for the period 1961-2099.  Hydrological simulations were obtained by driving the hydrological model WaSiM with the CRCM5-LE, a regional Single climate Model Initial-Condition Large Ensemble (SMILE). The underlying simulations were originally generated by Willkofer et al. 2020 as part of the ClimEx project (www.climex-project.org, Leduc et al. 2019). Using the daily streamflow simulations from the 50 members of the hydro-SMILE, we identifed pairs of extreme precipitation (i.e. areal sum over catchment) and corresponding streamflow. For more details on the hydrological setup see Willkofer et al. 2020 and further information on the simulations and event identification see Brunner et al. 2021.
The hydrological simulations were funded by the Bavarian State Ministry for the Environment and Consumer Protection. Computations of the hydrological simulations for the ClimEx project were made on the SuperMUC supercomputer at the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities.
DOI: 10.4211/hs.0b4eb61ad7544ffb970c1600927a819f
title: Daily time series (2010 - 2012) of stream DOC and NO3- concentrations at the Font del Regàs catchment, Spain

description: This dataset presents daily time series of dissolved organic carbon (DOC) and nitrate (NO3-) concentrations at three locations along the Font del Regàs stream for the period September 2010 to August 2012. The sub-humid, Mediterranean Font del Regàs catchment is located in northeastern Spain (total drainage area = 15.5 km2).
DOI: 10.4211/hs.b76183ceb87d43a3aac5e63c03f6f234
title: Template_ini_files_BBGC5

description: Template initialization file for BBGC-Muso 5