cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.d7b65c91dda047e1969a9f9cd09b489f
title: R Scripts for Evaluating Annual Streamflow Ensemble Metrics and Data and Results from their Application in the Colorado River Basin

description: This resource contains the R Scripts developed to characterize and assess annual streamflow ensembles using an extensive set of statistical metrics. We have assembled a broad set of metrics and applied them to annual streamflow in the Colorado River at Lees Ferry to illustrate the approach. We have also developed a tree-based classification approach to categorize both ensembles and metrics. The results, also included here, provide a way to visualize and interpret differences between streamflow ensembles. The presented metrics and their classification provide an analytical framework for characterizing and assessing the suitability of future streamflow ensembles, recognizing the presence of non-stationarity, and contributing to better planning in river basins.

This resource contains the data and scripts used in
Salehabadi, H., Tarboton, D. G., Wheeler, K. G., Smith, R., & Baker, S. (2024). Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence-Based Analysis: Colorado River Case Study. Water resources research, 60, e2024WR037225. https://doi.org/10.1029/2024WR037225
DOI: 10.48597/z8vr-8mgx
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/4myd-39q8
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/9nsr-g36n
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.4ec7019fe63944bf87d40d2cdfa0d686
title: CaRDS –  the statewide California Residential water Demand and Supply open dataset

description: As water scarcity becomes the new norm in the Western United States, states such as California have increased their efforts in water conservation. Achieving water security under climate change, population growth, and urbanization requires an integrated multi-sectoral approach, where adaptation strategies combine supply and demand management interventions. Yet, most studies consider supply-side and demand-side management strategies separately, water conservation efforts are mainly driven by policy requirements, and publicly available data to assess the effectiveness of these policies is often hard to find and unstructured. Here we present CaRDS – the statewide California Residential water Demand and Supply open dataset. CaRDS encompasses eight years (2013-2021) of monthly water supply and demand time series for 404 water suppliers in California, USA. Access to detailed temporal and spatial water supply and demand operations at the state-level can be useful to researchers and practitioners, e.g., to evaluate the effectiveness of water conservation policies and discover regional differences in water conservation measures
DOI: 10.48597/kkht-uwva
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.14bf23fb8cd843e48ea08da34ca86669
title: Hurricane Harvey 2017 Collection

description: Quick Start
This is a collection of flood datasets to support hydrologic research for Hurricane Harvey, August-September 2017. The best way to start exploring this collection is by opening the Hurricane Harvey 2017 Story Map [2]. It has separate sections for the different content categories, and links to the relevant HydroShare resources within this collection. 

More Details
This is the root collection resource for management of hydrologic and related data collected during Hurricane Harvey on the Texas-Louisiana Gulf coast. This collection holds numerous composite resources comprising streamflow forecasts, inundation polygons and depth grids, flooding impacts, elevation grids, high water marks, and numerous other related information sources. Texas address points are included to support estimating storm and flood impacts in terms of structures within an affected area.

The data providers for this collection are the Texas Division of Emergency Management, NOAA National Weather Service, NOAA National Hurricane Center, NOAA National Water Center, FEMA, 9-1-1 emergency communications agencies, and many others. Esri and Kisters also provided invaluable tools, data and geoprocessing services to support the initial data production, and these are included or referenced.

User-contributed resources from 2017 US Hurricanes may also be shared with The CUAHSI 2017 Hurricane Data Community group [1] to make them accessible to interested researchers, Anyone may join this group. 

An ArcGIS Story Map [2] has been created which provides example data views and interactive access to this collection.   

This collection has been produced by work on a US National Science Foundation RAPID Award "Archiving and Enabling Community Access to Data from Recent US Hurricanes" [3]. 

References
[1] CUAHSI 2017 Hurricane Data Community group  [https://www.hydroshare.org/group/41]
[2] Hurricane Harvey 2017 Archive Story Map [https://arcg.is/1rWLzL0]
[3] NSF RAPID Grant  [https://nsf.gov/awardsearch/showAward?AWD_ID=1761673]
DOI: 10.48597/mzwj-bzkp
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/pnk8-5gce
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.ad6bdeb1a7f5400193578933cc8a6eae
title: Open Source Scientific Cloud Pipelines to Support Multiscale Hydrologic Modeling Studies

description: Computational hydrology and real world decision-making increasingly rely on simulation-based, multi-scenario analyses. Enabling scientists to align their research with national-scale efforts is necessary to facilitate knowledge transfer and sharing between operational applications and those focused on local or regional water issues. Leveraging existing large-domain datasets with new and innovative modeling practices is vital for improving operational prediction systems. The scale of these large-domain datasets presents significant challenges when applying them at smaller spatial scales, specifically data collection, pre-processing, post-processing, and reproducibly disseminating findings. Given these challenges, we propose a cloud-based data processing and modeling pipeline, leveraging existing open source tools and cloud technologies, to support common hydrologic data analysis and modeling procedures. Through this work we establish a scalable and flexible pattern for enabling efficient data processing and modeling in the cloud using workflows containing both publicly accessible and privately maintained cloud stores. By leveraging modern cloud computing technologies such as Kubernetes, Dask, Argo, and Analysis Ready Cloud Optimized data, we establish a computationally scalable solution that can be deployed for specific scientific studies, research projects, or communities. We present an approach for using large-domain meteorological and hydrologic modeling datasets for local and regional applications using the NOAA National Water Model, the NOAA NextGen Hydrological Modeling Framework, and Parflow. We discuss how this approach can be used to advance our collective understanding of hydrologic processes, creating reusable workflows, and operating on large-scale data in the cloud.
DOI: 10.48597/efeq-ux5q
title: Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/yrdw-a7kc
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.4211/hs.dcf1135ac217455d90f62c709cecabc6
title: Datasets and codes for the peer review article E et al. (2025) "Predicting Salinity and Alkalinity Fluxes of U.S. Freshwater in a Changing Climate: Integrating Anthropogenic and Natural Influences Using Data-Driven Models"

description: Climate change is an ongoing and intensifying threat. Previous studies indicate that U.S. rivers are undergoing salinization and alkalinization driven by both natural (e.g., temperature and precipitation) and anthropogenic (e.g., population density) factors. In this study, random forest models were developed to predict how salinity (i.e., sodium) and alkalinity fluxes from 226 U.S. rivers will vary with changing population density and climatic forcings (i.e., temperature and precipitation) from 2040 to 2100 across three socioeconomic development pathways. The models predicted a lower future sodium flux in the northern U.S., likely due to reduced winter road salting under projected warmer winters. In the southern and western U.S., where road salting is uncommon, the models predicted little to no change in future sodium flux; however, a projected warmer and drier climate might exacerbate soil salinization in these regions. The models also indicated that carbonate weathering rates are inhibited when temperatures exceed 10 °C, leading to a lower future alkalinity flux in carbonate-rich watersheds under high temperatures. In siliciclastic-dominated or organic carbon-rich watersheds, rising temperatures are associated with increased riverine alkalinity flux, likely through the acceleration of silicate weathering and the decomposition of soil organic carbon. Higher precipitation and enhanced transport capacity were generally deemed to contribute to increased solute fluxes before reaching a plateau. This study underscores the urgency for policymakers and scientists to adapt strategies for managing U.S. rivers, focusing on mitigating the impacts of river salinization and shifts in riverine alkalinity driven by global warming.
DOI: 10.48597/2q78-fkd8
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/ej4n-n9hn
title: Measurement of Nitrogen_dioxide at Jarczew

description: Measurement of Nitrogen_dioxide at Jarczew
DOI: 10.48597/qkx3-xapp
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.5281/zenodo.17916319
title: TRACE-II Dataset

description: The Images of this dataset were sampled from R2PPE dataset.
DOI: 10.4211/hs.d3421b2099ee4e378e0005e2cfcb2338
title: LWI Model Naming Conventions: Stream naming algorithm

description: This software implements the Louisiana Watershed Initiative (LWI) stream naming algorithm, which is part of the LWI model data naming conventions. These conventions define the naming of physical features (watersheds, streams) as well as HEC-HMS hydrologic and HEC-RAS hydraulic model elements to be incorporated in watershed models developed under the auspices of the LWI. 

Faithful application of these standards is critical to ensuring that LWI models are of high quality and are consistent with each other, to the greatest extent practicable. Consistency between models enables interoperability of models between geographies (e.g. coupled HUC8 watersheds) and across modeling frameworks (e.g. integrating HEC-RAS models with ADCIRC in the coastal zone).

License: 
Louisiana Watershed Initiative (LWI) Stream Naming Convention Algorithm. Copyright (C) 2021-present State of Louisiana, Division of Administration, Office of Community Development.

This software program was developed by researchers at the Louisiana Watershed Flood Center of the University of Louisiana at Lafayette with funding from the State of Louisiana, Division of Administration, Office of Community Development under the LWI program. The LWI is funded by Community Development Block Grant Mitigation funds from U.S. Department of Housing and Urban Development.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
DOI: 10.48597/28bg-fhdg
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/swv6-s2bn
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.0b3d86685b274649bf6de835c35954bb
title: Results data from laboratory experiments for study on characterising rainfall partitioning through idealised cylinder experiments and hydrodynamic analysis

description: This dataset contains the experiment data for straight cylinder and curved cylinder experiments undertaken - experimental values used for graphs generated are given. For straight cylinder experiments, the data includes simulation experiment data which includes rivulet formation rate, stemflow formation rate and stemflow volume (as percentages of total). It also includes the separate height (lambda as a function of flow rate/inclination angle/length along cylinder) and velocity estimation experimental data. For curved cylinder experiments, the pour point formation rate data is given for 13 degree and 20 degree curved cylinders.
DOI: 10.48597/fvks-5jhv
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/kquz-u2vy
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.52d8d8b291f9457fbbe5238d603d39b0
title: Streamflow and groundwater droughts for 70 catchments in the Central Alps

description: This dataset contains drought events of groundwater (GW), streamflow (Q), precipitation (P) and P-ET (PET) for 70 catchments in the Central Alps retrieved with a variable threshold method from daily time series over the period 1989-2017. It accompanies the paper by Brunner and Chartier-Rescan submitted to GRL.
DOI: 10.48597/schh-d5y9
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/sjbu-ft8y
title: Measurement of Greenhouse gases (other halogenated), additional halogenated compunds and VOC (hydrocarbons) at TMNT09 Vielsalm

description: Measurement of Greenhouse gases (other halogenated), additional halogenated compunds and VOC (hydrocarbons) at TMNT09 Vielsalm
DOI: 10.4211/hs.080002bd7cc44242bb37c02b049ed532
title: SMVI Global Flash Droughts Dataset

description: We present a global dataset of flash drought events, meticulously compiled using the Soil Moisture Volatility Index (SMVI), a cutting-edge tool initially applied within the United States. This dataset marks a significant expansion of the SMVI methodology to a global context, offering an essential resource for comprehensively understanding and predicting rapidly evolving drought phenomena. Characterized by detailed information on the onset, duration, and severity of each event, the dataset covers a wide array of climatic zones, thus providing a diverse and inclusive global perspective. A key feature of this dataset is the integration of atmospheric variables, which sheds light on the meteorological factors driving and influencing flash droughts. Such integration allows for an in-depth exploration of the complex interplay between soil moisture and atmospheric conditions, enhancing our understanding of drought dynamics.
DOI: 10.48597/6try-xdxv
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/ffuk-sc4x
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/fv9x-6jp8
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.896aa1fdb76f4871a00362c257d3cf91
title: Dataset for "How three-dimensional forest structure regulates the amount and timing of snowmelt across a climatic gradient of snow persistence"

description: This resource is created to help a reader reproduce our results (including figures) as reported in our paper “How three-dimensional forest structure regulates the amount and timing of snowmelt across a climatic gradient of snow persistence”. The resource is divided into five folders. Folders #1 through #4 contain snow model input and output files for site 1 through site 4, respectively. The folder # 5 has the program files for the SnowPALM model (written in Python).
DOI: 10.48597/p6h6-2xh5
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/qvu5-n2b8
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.5281/zenodo.17916320
title: TRACE-II Dataset

description: The Images of this dataset were sampled from R2PPE dataset.
DOI: 10.4211/hs.ee99c9db6bc44fbcb9339d4ae40b81ca
title: Vadose Zone Soil Water Chloride data from Tyler et al (1996) WRR

description: These data represent data used in Tyler, S.W., J. B. Chapman, S. Conrad, D. Hammermiester, D. Blout, J. Miller, M. Sully and J. Ginanni (1996). Soil Water Flux on the Nevada Test Site: Temporal and Spatial Variations over the Last 120,000 Years. Water Resources Research. Vol. 32(6): 1481-1499. These data were only published in graphical form.  Soil chloride concentration and gravimetric water content measurements on cores and cuttings from three (PW1, PW2 and PW3) deep vadose boreholes in 1994 on the Nevada Test Site in southern Nevada. The boreholes were drilled using air as a drilling fluid and were drilled to support characterization of the deep vadose zone in the vacinity of the Department of Energy's Area 5 Radioactive Waste Management Site. (Lat 36.860; Longitude 115.959)  The full description of sampling and analysis techniques can be found in Tyler et al. 1996 . The full list of authors and contributors can be found in the pubication, both on the author list as well as the acknowledgements section of the manuscript.
DOI: 10.48597/3mtf-jwvt
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/uj4b-cwy7
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/em8j-u3wp
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.5035e8eff7284881bf61128553b64d47
title: Great Salt Lake Basin Reservoir Storage

description: This  resource aggregates data on the reservoirs and time series of reservoir storage within the Great Salt Lake Basin. It has been assembled by combining information from the United States Department of Agriculture (USDA) and the United States Bureau of Reclamation (USBR).
DOI: 10.48597/gssn-jhck
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.15468/dl.tdce22
title: Occurrence Download

description: A dataset listing the 3329 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "Country is Portugal",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 3329 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049980-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/pma9-5fay
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.60c4a2b90c8e4442a35b56a219499017
title: Water chemistry from the upper Provo River watershed, 2012-2022

description: This dataset includes water chemistry from samples collected in the upper Provo River watershed, northern Utah, including river samples from Soapstone, Woodland, and Hailstone, soil water, snowpack, ephemeral streams, and groundwater. The samples were collected from 2012-2022. The water chemistry includes field parameters, water isotopes, strontium isotopes, major ions, and trace elements. The field and lab methods are described in Checketts et al. (2020).
DOI: 10.48597/vmr3-rd49
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.c93beda60d294a4cba9e3f0f10c5b903
title: Coweeta Creek Stream Network Breakdown Phenology Model

description: Using stream network models, we evaluated the effects of future climate warming; streams fed by shallow or minimal groundwater had strongly depleted leaf litter during summer, emphasizing the importance of deep groundwater thermal inputs for the stability and resilience of forest stream ecosystems. The following contains the data analysis for stream network modelling component. Details and updated versions can be found here: https://github.com/Haredkb/StreamNetwork_leafbreakdownphenology
DOI: 10.48597/5hp2-nxuc
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/wpdn-98jc
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/6r6k-xdee
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/cxjk-yq49
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.82092d40d0544953a295ea44b5299aa8
title: Wells NERR sediment temperature and porewater data 2021-2022

description: This resource includes sediment temperature and porewater data from low-, mid-, and high-marsh sites at Wells National Estuarine Research Reserve (WNERR) in Wells, Maine USA. Multi-depth sediment temperature was collected using a T.rod.X (Alpha Mach, Canada) at depths of 0, 5, 10, 20, 50, and 100 cm at each location. Shallow monitoring wells were co-located with temperature probes and equipped with conductivity, temperature, depth (CTD) loggers (Solinst, Canada) to continuously record water pressure, conductivity, and temperature. A CTD logger was also deployed in the tidal channel/creek for periods when the WNERR water quality monitoring station was not active. Sediment temperature, monitoring well, and creek data were collected every fifteen minutes. Temperature probes were deployed on September 29, 2021 and remained in the field through September 8, 2022, with some data loss due to logger failure. CTD loggers were deployed on September 29, 2021 and collected on June 6, 2022, with some data loss due to frozen conditions and logger failure.
DOI: 10.48597/jqve-uk77
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/wybw-5vpv
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/zbm4-782d
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.4211/hs.b68a07a61a554598b9b0953ee7152bc3
title: Microbial assemblages and functional predictions in organic-rich subterranean estuaries

description: Microbial communities in subterranean estuaries (STE) mediate biogeochemical reactions of coastal groundwater discharging into the oceans; however, studies on their response to abrupt environmental changes caused by climate and land use alterations are still limited. In this study, we conducted a controlled laboratory study using combined geochemical and metagenomic approaches to investigate microbial structures and their metabolic pathways under different nitrate (NO3-) inputs, saline solutions, and incubation times. This is a supplementary data to manuscript "Microbial assemblages and functional predictions in organic-rich subterranean estuaries: impact of climate and land use changes" submitted to Journal of Geophysical Research: Biogeosciences.
DOI: 10.48597/6fkd-acx6
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba
DOI: 10.48597/ck7u-zgqk
title: Measurement of Nitrogen_dioxide at Leba

description: Measurement of Nitrogen_dioxide at Leba