cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.43ae93136e10439fbf2530e02156caf0
title: Derived Hydrography of North America

description: This resource includes three hydrographic geospatial datasets for North America including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.94f7e730ea034706ae3497a75c764239
title: Derived Hydrography of South America

description: This resource includes three hydrographic geospatial datasets for South America including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.b62087b814804242a1005368d0ba1b82
title: Derived Hydrography of West Asia

description: This resource includes three hydrographic geospatial datasets for West Asia including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.ded08cce17244dbf871a437c3b333d03
title: Accompanying Data to Hampton et al. (2020) Experimental shifts of hydrologic residence time in a sandy urban stream sediment-water interface alter nitrate removal and nitrous oxide fluxes

description: The sediment-water interfaces (SWI) of streams serve as important biogeochemical hotspots in watersheds and contribute to whole-catchment reactive nitrogen budgets and water-quality conditions. Recently, the SWI has been identified as an important source of nitrous oxide (N2O) produced in streams, with SWI residence time among the principal controls on its production. Here, we conducted a series of controlled manipulations of SWI exchange in an urban stream that has high dissolved N2O concentrations and where we concurrently evaluated less-mobile porosity dynamics. Our experiments took place within isolated portions of two sediment types: a coarse sandy stream bed resulting from excess road-sand application in the watershed, and a coarse sand mixed with clay and organic particles. In these manipulation experiments we systematically varied SWI vertical-flux rates and residence times to evaluate their effect on the fate of nitrate and production rates of N2O. Our experiments demonstrate that the fate and transport of nitrate and N2O production are influenced by hydrologic flux rates through SWI sediments and associated residence times. Specifically, we show that manipulations of hydrologic flux systematically shifted the depth of the bulk oxic-anoxic interface in the sediments, and that nitrate removal increased with residence time. Our results also support the emerging hypothesis of a ‘Goldilocks’ timescale for the production of nitrous oxide, when transport and reaction timescales favor incomplete denitrification. Areal N2O production rates were up to 3-fold higher during an intermediate residence-time experiment, compared to shorter or longer residence times. In our companion study we documented that the studied sediments were dominated by a long-residence-time less-mobile porosity domain, which could explain why we observed N2O production even in bulk-oxic sediments. Overall, we have experimentally demonstrated that changes to SWI hydrologic residence times and SWI substrate associated with urbanization can change the biogeochemical function of the river corridor.
DOI: 10.4211/hs.6de72e805b34488ab1742dae64202a29
title: Derived Hydrography of the Middle East

description: This resource includes three hydrographic geospatial datasets for the Middle East including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.15468/dl.kbcu72
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium scolopendrium scolopendrium"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049943-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.e8f2896be57643eb91220351b961b494
title: Derived Hydrography of South Asia

description: This resource includes three hydrographic geospatial datasets for South Asia including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.e3910292be5e4fd79597c6c91cb084cf
title: Derived Hydrography of the Islands

description: This resource includes three hydrographic geospatial datasets for the Islands including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.121bbce392a841178476001843e7510b
title: Derived Hydrography of Africa

description: This resource includes three hydrographic geospatial datasets for Africa including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.85ac5bf29cff4aa48a08b8aaeb8e3023
title: Derived Hydrography of East Asia

description: This resource includes three hydrographic geospatial datasets for East Asia including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.c14e1644a94744d8b3204a5be91acaed
title: Derived Hydrography of Europe

description: This resource includes three hydrographic geospatial datasets for Europe including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.383bc50a88ae4711a8d834a322ced2d5
title: Derived Hydrography of Central Asia

description: This resource includes three hydrographic geospatial datasets for Central Asia including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.df5f3e52c51b419d8ee143b919a449b3
title: Derived Hydrography of Japan

description: This resource includes three hydrographic geospatial datasets for Japan including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.9572eb7fa8744807962b9268593bd4ad
title: Derived Hydrography of Australia

description: This resource includes three hydrographic geospatial datasets for Australia including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.
DOI: 10.4211/hs.2f2c2fa04e6e417ba0eb7b0fb14b1090
title: DE-WWTP - collection of Germany's waste water treatment plants (status 2015)

description: The waste water treatment data collection for Germany (DE-WWTP) was collected and put together at the UFZ in 2015/2016.

It is based on a query to all German federal states except Hamburg, Berlin and Bremen to provide the location of waste water treatment plants as well as the yearly load of nutrients to the receiving waters. The query was restricted to WWTPs with a population equivalent (PE) smaller then or equal to 2000 (data set 1). This data set was combined with the public available data for WWTPs with PE > 2000 (https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5, data set 2).
The result (DE-WWTP) is a combination of both data sets containing all German WWTPs for all PE (data set 1 + data set 2).

DE-WWTP contains for most of the records the following information (sometimes only P or only N was reported):
- Name of WWTP
- federal state
- coordinates of effluent
- capacity of WWTP
- PE (population equivalent)
- size class of WWTP according to German law (https://www.gesetze-im-internet.de/abwv/anhang_1.html)
- annual discharged P [kg/year]
- annual discharged N [kg/year]

---------------------------------
Raw data archive DE-WWTP
---------------------------------
The raw data of the DE-WWTP is archived in a repository using a fixed URL:

https://www.ufz.de/record/dmp/archive/7800/en/

All data can be assessed there when right and permissions allows to. More information can be found under the stated URL.

--------------------------------------
- related Publications
--------------------------------------

Yang, S., Büttner, O., Jawitz, J.W., Kumar, R., Rao, P.S.C., Borchardt, D., (2019): Spatial organization of human population and wastewater treatment plants in urbanized river basins
Water Resour. Res. 55 (7), 6138 - 6152
http://dx.doi.org/10.1029/2018WR024614

Yang, S., Büttner, O., Kumar, R., Jäger, C.G., Jawitz, J.W., Rao, P.S.C., Borchardt, D., (2019):
Spatial patterns of water quality impairments from point source nutrient loads in Germany's largest national River Basin (Weser River)
Sci. Total Environ. 697 , art. 134145
http://dx.doi.org/10.1016/j.scitotenv.2019.134145
DOI: 10.4211/hs.fee4cead438c458da36b91abe4130e61
title: Data Repository: Spring and stream water evolution in a rapidly urbanizing watershed, Austin, TX

description: Quantifying urban development impacts on fresh water quality and quantity is critical, especially as growing populations concentrate in urban centers and with climate change projections of increased hydrologic extremes. We investigate geochemical processes through which municipal supply and waste water, carbonate bedrock, and soils impact stream and spring water compositions within the Bull Creek watershed (Austin, Texas). This watershed exhibits a sharp geographic divide between urban and rural land. Urban and rural waters were assessed to quantify relative influences of municipal water on stream and spring water elemental compositions and 87Sr/86Sr values. Higher 87Sr/86Sr for samples from urban sites relative to rural sites can be accounted for by two processes: (1) water leakage from municipal infrastructure and/or irrigation, or (2) ion exchange as precipitation infiltrates through soils with varying 87Sr/86Sr. Irrigated soils have higher 87Sr/86Sr than unirrigated soils, indicating that irrigated municipal water resets soil compositions, and that process (1) is a dominant driver of urban stream and spring water evolution. Geochemical modeling results indicate that urban waters consist of 50% to 95% municipal water. Geochemical modeling further demonstrates the evolution of municipal water as it infiltrates as groundwater and undergoes water-rock interaction. These results are compared with groundwater compositions on a regional scale to infer local flow paths and relative groundwater residences times of municipal water. This study provides a geochemical modeling framework that quantifies both the significance of municipal water on urban stream water and soil compositions, and the role of municipal water within urbanized watersheds and aquifers.
DOI: 10.4211/hs.9f91461dda1a44f9a82d626a306554ad
title: Darlly States Visited

description: States visited by Darlly
DOI: 10.4211/hs.86c58dfe5067486aa014ea814e3e79ff
title: Assessing plot-scale impacts of land-use on overland flow generation processes in central Panama

description: Land-use in Panama has changed dramatically with ongoing conversion of forests to subsistence farms and cattle pastures, potentially altering soil properties that drive the hydrological processes of infiltration and overland flow. We compared overland flow generation between hillslopes in forested and actively cattle grazed watersheds in central Panama. Soil physical and hydraulic properties, soil moisture, and overland flow data were measured along hillslopes of each land-use type. Soil characteristics and rain-event data were input into a simply representative model, HYDRUS-1D, to simulate overland flow that we use to make inferences about overland flow response at forest and pasture sites. Runoff ratios (overland flow/rainfall) were generally higher at the pasture site, though we did not observe any overall trends between rainfall characteristics and runoff ratios across the two land-uses at the plot scale. Saturated hydraulic conductivity (Ks), bulk density and porosity had strong evidence for differences between the forest and pasture sites (p < 10-4). Simulating overland flow in HYDRUS-1D produced outputs similar to the overland flow recorded at the pasture site, but little to no overland flow could be simulated at the forest site. Results from our study indicate that, at the plot scale, Hortonian overland flow is the main driver for overland flow generation at the pasture site, whereas the combination of a leaf litter layer and the activation of shallow preferential flow paths are likely the main drivers for overland flow generation at the forest site. Results from this study contribute to the broader understanding of the delivery of freshwater to streams, which will become increasingly important in the tropics considering freshwater resource scarcity and changing storm intensities.
DOI: 10.4211/hs.712c1df62aca4ef29688242eeab7940c
title: DE-WWTP - data collection of wastewater treatment plants of Germany (status 2015, metadata)

description: The waste water treatment data collection for Germany (DE-WWTP) was collected and put together at the UFZ in 2015/2016.

It is based on a query to all German federal states except Hamburg, Berlin and Bremen to provide the location of waste water treatment plants as well as the yearly load of nutrients to the receiving waters. The query was restricted to WWTPs with a population equivalent (PE) smaller then or equal to 2000 (data set 1). This data set was combined with the public available data for WWTPs with PE > 2000 (https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5, data set 2).
The result (DE-WWTP) is a combination of both data sets containing all German WWTPs for all PE (data set 1 + data set 2).

DE-WWTP contains for most of the records the following information (sometimes only P or only N was reported):
- Name of WWTP
- federal state
- coordinates of effluent
- capacity of WWTP
- PE (population equivalent)
- size class of WWTP according to German law (https://www.gesetze-im-internet.de/abwv/anhang_1.html)
- annual discharged P [kg/year]
- annual discharged N [kg/year]

---------------------------------
Raw data archive DE-WWTP
---------------------------------
The raw data of the DE-WWTP is archived in a repository using a fixed URL:

https://www.ufz.de/record/dmp/archive/7800/en/

All data can be assessed there when right and permissions allows to. More information can be found under the stated URL.

--------------------------------------
- related Publications
--------------------------------------

Yang, S., Büttner, O., Jawitz, J.W., Kumar, R., Rao, P.S.C., Borchardt, D., (2019): Spatial organization of human population and wastewater treatment plants in urbanized river basins
Water Resour. Res. 55 (7), 6138 - 6152
http://dx.doi.org/10.1029/2018WR024614

Yang, S., Büttner, O., Kumar, R., Jäger, C.G., Jawitz, J.W., Rao, P.S.C., Borchardt, D., (2019):
Spatial patterns of water quality impairments from point source nutrient loads in Germany's largest national River Basin (Weser River)
Sci. Total Environ. 697 , art. 134145
http://dx.doi.org/10.1016/j.scitotenv.2019.134145