cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.2dbd6e849a754c0981b99ee7c09031eb
title: SnowClim: Present Snow Data

description: This resource contains snow metrics for the present-day period and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The present-day snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period (1 Oct 2000 to 30 Sep 2013) and then using this climate data to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US. 

Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
DOI: 10.4211/hs.7e3678f00ad74bfd881f91d6f6f81494
title: SnowClim: Present Climate Data

description: This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains present-day climate metrics. Climate metrics were created by downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for the present-day period (1 Oct 2000 to 30 Sep 2013) using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.

Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
DOI: 10.4211/hs.96cba44cd74843639f855d7c9e22024b
title: SnowClim: Future Snow Data

description: This resource contains snow metrics for a future climate scenario and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The future snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period representing conditions under RCP 8.5 during 2071-2100 and then using this climate data to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US. 

Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
DOI: 10.4211/hs.36895c3a2c53409893f5ba02ee142767
title: SnowClim: Future Climate Data

description: This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains future climate metrics. Climate metrics were created by downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for thirteen year pseudo global warming scenario representing conditions for 2071-2100 under RCP8.5 using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.

Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
DOI: 10.4211/hs.d4f2223be0b04805853d3ca0970ca9db
title: Agua Salud CSV Data

description: This resource includes a single archive of discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. These data were extracted from original HDF5 archives that are part of the Agua Salud Resource Collection. These data are furnished as a convenience for users unfamiliar with Python and HDF5. Users intending to use these data programmatically may find the original HDF5 archives more convenient.
DOI: 10.4211/hs.d3d7eca5f07048d499b4cffb2aec7750
title: Agua Salud Hydrometric Data

description: This resource collections contains discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. Each resource contains a README.md with a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python scripts or access the data directly using a variety of HDF libraries in other languages.
DOI: 10.4211/hs.dd8a6b1ae513491280dc1ebc7b099344
title: Soil and landscape data at a regional scale in Lake Tana basin (Ethiopia)

description: The major soil types found in Lake Tana basin are Nitisols, Vertisols, Luvisols, Regosols and Phaeozems with an outstanding presence of Vertisols and Nitisols. The distribution of these soils in the landscape seems to be related to the topography and drainage. Nitisols appear in the well-drained situation of plateaus. Vertisols appear in flat areas on present floodplains, past floodplains and local depressions at various altitudes. The mineralogical characterization shows that Nitisols and Vertisols are somehow related in this region. Although the relative amounts of the minerals differ strongly, the same constituents are found in both soil types. Vertisols have a dominated smectitic mineralogy, which is in line with the clear slickensides reported. In contrast the Nitisols are more kaolinitic, but they still have some smectites. The mineralogy shows differences between Vertisols and Nitisols which can be explained by a more advanced weathering in the Nitisols than in the Vertisols. The most important parent materials found in the region are mafic rocks and lacustrine deposits. From their position in the landscape the Vertisols of Lake Tana basin are thought to have developed in old lacustrine deposits. Nitisols are supposed to be found on basaltic parent material, but could as well as have developed on strongly weathered old lacustrine deposits. The findings of Vertisols which developed on old lacustrine deposits may indicate possible ancient lake heights for Lake Tana.
DOI: 10.15468/dl.uc4htb
title: Occurrence Download

description: A dataset containing 1392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Korea, Republic of, Russian Federation, Japan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus davidiana"
 ]
}

 The dataset includes 1392 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.57753ddbdf6545f689d70c9d01b7965a
title: Dan/Roanoke River Basin - physical data

description: This resource contains physical data collected in the Dan and Roanoke River Basin in South-Central Virginia and North-Central North Carolina. The collection of this data was partially supported by the National Fish and Wildlife Foundation (8020.18.059147).

This dataset includes surveyed channel cross sections, measures of embeddedness and silt cover, and summary variables at the sites.

This data is in support of the paper:

Jonathan A. Czuba, Mallory Hirschler, Elizabeth A. Pratt, Amy Villamagna, and Paul L. Angermeier (2021). Bankfull shear velocity predicts embeddedness and silt cover in gravel streambeds. River Research and Applications. https://dx.doi.org/10.1002/rra.3878
DOI: 10.4211/hs.16a66381293a4977887ffa4df8fd1b0f
title: CSDMS 2021: Listening to Community Feedback

description: This report presents results from an online survey of members of the Community Surface Dynamics Modeling System (CSDMS) conducted in 2021. A total of 135 responses were received from community members. Demographics indicate the same lack of diversity that applies across the US geosciences. The survey indicates strong interest in CSDMS' community-building activities, and suggests that CSDMS has succeeded in lowering the barrier to code sharing and access. Continuing technical barriers relate in part to developing and debugging codes for modeling and model-data analysis, and to learning and using software created by colleagues. There is a strong need for cyber-learning opportunities, with desired training modes including multi-day in-person courses and self-paced online materials. Interest is growing in CSDMS products such as Landlab, and services such as research software consulting. Collectively, the survey highlights continuing needs for community engagement on a variety of levels: more training opportunities; networking and interaction; technical support and assistance; barrier-bridging technologies; and proactive outreach to broaden access to and participation in the Earth-surface process community.
DOI: 10.4211/hs.b94e2da3b5094cdfa679ad31fe7fb09d
title: Great Lakes Water Quality Dataset

description: This repository contains stream water quality data (dissolved inorganic nitrogen, total nitrogen, soluble reactive phosphorus and total phosphorus), and corresponding streamflow data across 202 monitored gages in the Great Lakes Basin (GLB). The water quality dataset includes both raw data (~10 - 12 data points a year), and daily concentration and load data estimated using the Weighted Regression against Time, Discharge and Seasons (WRTDS) over a 16-year timeframe (2000 - 2016). The dataset also includes results from a random forest (RF) model that predicts seasonal and annual concentrations and loads, as well as nutrient ratios, in monitored and un-monitored watersheds in across the entire transboundary river basin. Specifically, the repository includes:
1) Measured concentration and flow data for 202 gages in the GLB from 2000 - 2016
2) Modelled (using WRTDS) daily concentration data for the 202 gages from 2000 - 2016
3) RF Predicted seasonal and annual concentration and loads across the entire basin
DOI: 10.4211/hs.bed4ba048c044f09aaa25451d213b540
title: Residential Fertilizer Ordinance Impacts on FL Water Quality

description: These data are linked to the L&O Letters publication "Impacts of Residential Fertilizer Ordinances on Florida Lacustrine Water Quality" by D. Aviles, E.F. Belshe, A.J. Reisinger, and S.J. Smidt. Provided here are the final lake data and data processing codes.
DOI: 10.4211/hs.cfe20f378044499aa303c9827011340a
title: Climate data of Eskisehir Province in Turkey

description: Drought analyzes in the Porsuk Creek Watershed had been conducted using the past (1970-2018) and future (2020-2100) climate data produced according to the optimistic (RCP4.5) and pessimistic (RCP8.5) scenarios of HadGEM2-ES global climate model, with the help of Standard Precipitation Index (SPI), Standard Runoff Index (SRI) and Palmer Drought Severity Index (PDSI). The analysis revealed that the basin was located in an arid region, it was determined that hydrological and agricultural droughts were dominant and a meteorologically normal climate prevailed in the past. Sub basin in the study area where agricultural drought is experienced severely are Odunpazari, Alpu and Tepebasi, respectively. Porsuk Creek Watershed tends to be drought meteorologically and wet hydrologically in the future. In terms of agricultural drought, although there is a potential for drought over time, it is determined a normal climate will prevail throughout the basin. Compared to reference (1970-2000) period, the climate change will occur in the manner of temperature and precipitation increases in the future.
DOI: 10.4211/hs.1beaf29b297b42d394ce4f36f0ab19c3
title: Environmental tracer data within the Barva-Colima Aquifer system, Costa Rica

description: Groundwater recharge in highly-fractured volcanic aquifers remain poorly understood in the humid tropics, whereby rapid demographic growth and unregulated land use changes are resulting in extensive surface water pollution and a large dependency on groundwater extraction. This database presents a multi-tracer approach including δ18O-δ2H, 3H/3He, and noble gases within the most prominent multi-aquifer system of central Costa Rica, with the objective to assess dominant groundwater recharge processes. Wells and large springs were sampled across an elevation gradient from 868 to 2,421 m asl.
DOI: 10.4211/hs.367bd4298af9456f90dfdd046a177b1c
title: Iowa Flood Center Bridge Sensor - Rating Curves

description: This Hydroshare resource contains discharge - river stage relationship (rating curves)  at 294 locations in the state of Iowa where Bridge Mounted River Stage Sensors (BMRS) are installed by the Iowa Flood Center
DOI: 10.4211/hs.34e0b581418442068e796762aa4fc4d8
title: Daily monsoon period (July-August) streamflow for the Narmada River basin dataset

description: This dataset contains the files with time series of potential covariates, daily monsoon period (July-August) streamflow used to implement a Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of daily streamflow in the Narmada River basin, India. The potential covariates for 1 day lead time forecast are comprised of daily streamflow from an upstream (feeder) gauge, 1, 2, 3-days accumulated spatial average precipitation from the area between the station gauges. It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here. The observed streamflow and gridded precipitation raw data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD), respectively. Then, data were processed to obtain the dataset presented here.
DOI: 10.4211/hs.eab35a0af8104dd5921ef3ebbefddd87
title: Water depth data of Congaree River Floodplain, SC, USA

description: Water depth data of Congaree River Floodplain, SC, USA for "A novel approach for quantifying complexity in floodplain flows: Congaree River, South Carolina, USA"
DOI: 10.4211/hs.3e43f198bdca40108fcf3e67d14a986d
title: Litter Pickup MATLAB Teaching Resources

description: Educational resources for a litter collection service-learning project integrated into a MATLAB programming course. Students collect litter data using an app, and then process that data in MATLAB to answer a variety of research questions. The project is best conducted over several weeks and is ideal for an introduction to MATLAB course. Discussions could include MATLAB concepts in addition to plastic pollution and engineering/science for social responsibility.
DOI: 10.4211/hs.1300844ad3c647f3ab9c6c221f8747ae
title: Along-shore movement of groundwater and its effects on seawater-groundwater interactions in heterogeneous coastal aquifers

description: Studies of coastal groundwater dynamics often assume two-dimensional (2D) flow and transport along a shore-perpendicular cross-section. We show that along-shore movement of groundwater may also be significant in heterogeneous coastal aquifers. Simulations of groundwater flow and salt transport incorporating different geologic structure show highly three-dimensional (3D) preferential flow paths. The along-shore movement of groundwater on average accounts for 40%-50% of the total flowpath length in both conduit-type (e.g., volcanic) heterogeneous aquifers and statistically equivalent (e.g., deltaic) systems generated with sequential indicator simulation (SIS). Our results identify a critical role of three-dimensionality in systems with connected high-permeability geological features. The 3D conduit features connecting land and sea cause terrestrial fresh groundwater to migrate seaward and increases the rate of SGD compared to equivalent homogeneous, SIS and corresponding 2D models. In contrast, in SIS-type systems, less-connected high-permeability features produce mixing zones and SGD nearer to shore, with comparable rates in 3D and 2D models. Onshore, 3D Heterogeneous cases have longer flowpaths and travel times from recharge to discharge compared to 2D cases, but offshore travel times are much lower, particularly for conduit-type models in which flow is highly preferential. Flowpath lengths and travel times are also highly variable in 3D relative to 2D for all heterogeneous simulations. This study highlights the importance of three-dimensionality and the geometry of geologic features in coastal groundwater flow and solute transport processes in highly heterogeneous aquifers. The results have implications for water resources management, biogeochemical reactions within coastal aquifers, and subsequent chemical fluxes to the ocean.
DOI: 10.4211/hs.7392b4c3471a4f5e81da099aed230b80
title: Streamflow and hydro-meteorological variables for 937 GRDC catchments in Europe (1969-2011)

description: This dataset provides streamflow and hydro-meteorological time series (temperature, evapotranspiration, precipitation, snow-water-equivalent (SWE), and snowmelt) for 937 catchments in Central and Northern Europe for the period 1969-2011.
DOI: 10.4211/hs.4cc681c07f674d3db766efa1afd5625a
title: Supporting Resources for "Identifying Opportunities for Nonpotable Water Reuse Based on Potential Supplies and Demands in the United States"

description: This resources includes the underlying data and code for analyses performed in the manuscript "Identifying Opportunities for Nonpotable Water Reuse Based on Potential Supplies and Demands in the United States" (https://doi.org/10.1021/acsestwater.2c00341). All input data are included and can be recreated with updated data. Outputs can be used for spatial analysis in ArcGIS Pro or related spatial analysis software.
DOI: 10.4211/hs.e2e4924a3ed2416b831b0e6a0cb0bdaf
title: Dataset for post-processing daily streamflow simulations across a river network using a Bayesian hierarchical model

description: This dataset contains the files with time series of potential covariates, daily monsoon period (July-August) streamflow used to post-process daily VIC streamflow simulations across the Narmada River basin network, India. The potential covariates are comprised of daily VIC simulated streamflow from each gauge, 1, 2, 3, and 4-days accumulated spatial average precipitation from the area between the station gauges, and daily VIC simulated streamflow from an upstream (feeder) gauge from the previous day. It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here. The observed streamflow and gridded precipitation raw data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD), respectively. Then, data were processed to obtain the dataset presented here.
DOI: 10.4211/hs.537dc5206d584625b0fd28ea6b6872de
title: Accompanying Data to Hampton, Lin, and Basu (2022) "Forest fire effects on stream water quality at continental scales: a meta-analysis"

description: Forested watersheds supply over two thirds of the world's drinking water. The last decade has seen an increase in the frequency and intensity of wildfires that is threatening these source watersheds, and necessitating more expensive water treatment to address degrading water quality. Given increasing wildfire frequency in a changing climate, it is important to understand the magnitude of water quality impacts following fire. Here, we conducted a meta-analysis to explore post-fire changes in the concentrations of nitrogen (N) and phosphorus (P) species, dissolved organic carbon, and total suspended sediments in 121 sites around the world. Changes were documented over each study's respective duration, which for 90% of sites was five years or fewer. We find concurrent increases in C, N and P species, highlighting a tight coupling between biogeochemical cycles in post-fire landscapes. We find that fire alters N and P speciation, with median increases of 40%–60% in the proportion of soluble inorganic N and P relative to total N and P. We also found that fire decreases C:N and C:P ratios, with median decreases ranging from 60% to 70%. Finally we observe a 'hockey stick'-like response in changes to the concentration distribution, where increases in the highest concentration ranges are much greater than increases at lower concentrations. Our study documents strong heterogeneity in responses of water quality to wildfire that have been unreported so far in the literature.
DOI: 10.4211/hs.e38890e20a7140df8257d6ee04509e47
title: Hydrogen and oxygen isotope ratios at several locations in St. Marks River watershed, FL

description: This dataset contains oxygen and hydrogen isotope ratios that were used to detect a hydraulic connection between a sinkhole lake and a karst spring. In karst areas, surface water that flows to a lake can drain through sinkholes in the lakebed to the underlying aquifer, and then flows in karst conduits and through aquifer matrix. At the study site located in northwest Florida, USA, Lake Miccosukee immediately drains into two sinkholes. Results from a dye tracing experiment indicates that lake water discharges at Natural Bridge Spring, a first-magnitude spring 32 km downgradient from the lake. By collecting weekly water samples from the lake, the spring, and a groundwater well 10 m away from the lake during the dry period between October 2019 and January 2020, it was found that, when rainfall effects on isotopic signature in spring water are removed, increased isotope ratios of spring water can be explained by mixing of heavy-isotope-enriched lake water into groundwater, indicating hydraulic connection between the lake and the spring. Such a detection of hydraulic connection at the scale of tens of kilometers and for a first-magnitude spring has not been previously reported in the literature. Based on the isotope ratio data, it was estimated that, during the study period, about 8.5% the spring discharge was the lake water that drained into the lake sinkholes.
DOI: 10.4211/hs.3d986d38329144e7a617cfdc6d4152fa
title: Agua Salud CSV Data

description: This resource includes a single archive of discharge and rainfall data from 13 experimental catchments in Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. These data were extracted from original HDF5 archives that are part of the Agua Salud Resource Collection. These data are furnished as a convenience for users unfamiliar with Python and HDF5. Users intending to use these data programmatically may find the original HDF5 archives more convenient.
DOI: 10.4211/hs.7349e6623812408bbce1b876df0ceba2
title: Agua Salud Rainfall Data

description: This resource contains 15-minute rainfall data from 13 experimental catchments Central Panama. The Agua Salud Project is managed by the Smithsonian Tropical Research Institute to facilitate research into the ecosystem benefits of various land covers in the humid tropics. The attached README.md includes a more thorough description of this dataset and site specific details. A user can export these data from the HDF archive using the included Python script or access the data directly using a variety of HDF libraries in other languages.