cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.8cc00fdda23444779fa839c57815e256
title: DWCZ - CO - Manitou Experimental Forest, Hotel Gulch - Precipitation - (MEF-HG-Precip-SBush) - (2019–2021)

description: NOTE: This resource represents the data as presented in Sidney Bush’s dissertation, working title: “Spatiotemporal Patterns in Hydrologic Connectivity in a Montane Headwater System in Central Colorado.”

Hotel Gulch is within the Manitou Experimental Forest. The area contains a series of alluvial and colluvial fans, indicative of historic debris-flow scars. Equipment is installed within these fans at increasing distances from the stream. Stream sites are measured along a longitudinal profile, beginning at the stream headwater and extending to the lowest site just upstream of the flume.

Precipitation was measured using a tipping bucket rain gauge (TR-525M, Texas Electronics, Dallas, TX).
DOI: 10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1
title: QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany

description: This data set provides data of water quality, discharge, driving forces (meteorological and nitrogen surplus), and catchment attributes for a set of 1386 German catchments covering a wide range of natural and anthropogenic conditions. 
Data on catchment attributes and geodata, which are also part of the QUADICA data set, are available at "CCDB - catchment characteristics data base Germany" (https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4). The metadata of the underlying water quality and quantity data base is available at "WQQDB - water quality and quantity data base Germany" (https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721). 
The data set is decribed in detail in a corresponding paper "Water quality, discharge and catchment attributes for large-sample studies in Germany - QUADICA" by Ebeling et al. (https://doi.org/10.5194/essd-2022-6). 

This repository includes:

1.) Water quality data as annual medians of observed concentration data of N, P and C species and discharge during sampling dates (c_annual.csv)
2.) Water quantity data as annual medians of observed discharge time series (q_annual.csv)
3.) Monthly medians and percentiles over the whole time series of water quality variables and discharge (c_months.csv)
4.) Monthly and annual median concentrations, flow-normalized concentrations, and mean fluxes estimated using Weighted Regressions on Time, Discharge, and Season (WRTDS) for stations with enough data availability (for details see the corresponding paper Ebeling et al.; wrtds_monthly.csv, wrtds_annual.csv).
5.) Meteorological data as monthly median average temperatures and sums of precipitation and potential evapotranspiration (tavg_monthly.csv, pre_monthly.csv, pet_monthly.csv)
6.) N surplus time series on annual basis (n_surplus.csv)
7.) Summary statistics for the stations including number of samples, covered time periods, degree of censoring (concentrations below the detection limit), outliers, availability of discharge data, and availability and performance of WRTDS models (metadata.csv).
8.) Description of all data tables (Metadata_QUADICA.pdf).

Conditions: The data set is freely and easily accessible. Please refer to the corresponding paper Ebeling et al. when using or referring to this data set. Note that the provided data were created with greatest care, but we cannot guarantee correctness of the data.
DOI: 10.4211/hs.3f9f741ef6f54cb19c78d3d858e643b2
title: NBSGeo

description: National spatial data web mapping application for nature-based solutions.
All content hosted is from Esri's Living Atlas of the World.

URL: https://tinyurl.com/nbsgeo
DOI Documentation: https://doi.org/10.3390/su131911018
DOI: 10.4211/hs.88254bd930d1466c85992a7dea6947a4
title: CCDB - catchment characteristics data base Germany

description: This data set provides geoinformation data, natural and anthropogenic characteristics of 1386 catchments across Germany as part of the QUADICA data set.
The attributes include information on topography, land cover, lithology, soils, climate, hydrology, population density and nutrient sources and heterogeneity. The calculated catchment attributes base on various publicly available and published resources referenced in the metadata of this repository. This repository combines the two existing CCDB repositories for the German catchments (Ebeling, 2021: https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839; Ebeling & Dupas, 2021: https://doi.org/10.4211/hs.c7d4df3ba74647f0aa83ae92be2e294b). 
The provided geoinformation includes the delineated catchments, stations and the data used for delineation.
The data set is decribed in detail in a corresponding paper "Water quality, discharge and catchment attributes for large-sample studies in Germany - QUADICA" by Ebeling et al. (https://doi.org/10.5194/essd-2022-6). 

This repository includes:

1.) Data table with catchment attributes
2.) Metadata with the description of each catchment attribute and references to original publications and data resources. 
3.) GIS-data:
   - Shapefile of delineated catchment polygons
   - Shapefile of stations.
   - Shapefile of modified station locations consistent with the flow accumulation raster using a 100m snapping distance.
   - Shapefile of modified river network after manual adaptations used for burning into DEM
   - Raster of DEM 100m
   - Raster of flow direction used for catchment delineation
   - Raster of flow accumulation 
4.) Readme for further explanation of the included GIS data

Water quality and quantity data, as well as meteorological and N surplus time series are available in the "QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany" repository (https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1). All repositories use the same unique identifier OBJECTID for each water quality station.

Note: the station locations (stations.shp) do not always fall within the delineated catchments as the catchment outlets were adapted (stations_mod.shp) according the stream network and the topographic flow accumulation grid. 

Conditions: Please, reference both the original data publisher and this repository/corresponding paper Ebeling et al. for credits, when using the provided data. Note that the provided data were created with greatest care, but we cannot guarantee correctness of the data.
DOI: 10.4211/hs.fe28143081434b0d90f8cffc88e1bfff
title: Olympic Mountains Glacier Flowline Model

description: This MATLAB program is designed to simulate the flow dynamics of glaciers within the Elwha and Quinault basins, situated in the Olympic mountains. Using parameters that affect glacial flow, such as the density of ice, the gravitational pull, and the coefficients for deformation and sliding of the glacier, this model provides an insight into the process of glacial evolution.

The model initializes by importing the desired glacier profile from two available .mat files, "Elwha_Basin_Input.mat" or "Quinault_Basin_Input.mat," which provide comprehensive data about the unique conditions of the Elwha and Quinault basins, respectively. The geometric attributes of the glacier, including its bed elevation and width, are then meticulously defined and interpolated onto a calculated grid for accurate modelling.

Climate parameters integral to the functioning of glaciers are also incorporated into this model, encompassing annual precipitation rates, sea-level temperature, and the melt factor. These values, along with other parameters, feed into the critical computation of the mass balance of the glacier, which balances the accumulation against the melting of the glacier ice.

At the heart of the simulation is a time-stepping loop that updates and records the glacier's height, thickness, and the rate of change of thickness over the defined period. This iterative approach provides dynamic results that demonstrate the evolution of the glacier over time, providing outputs of both glacier height and thickness at each time step.

The generated outputs from this model provide an invaluable resource for understanding glacial behavior and the effects of varying climatic conditions on glaciers. This can be of great use in broader studies of climate change and its impact on glacial ecosystems, providing a data-driven foundation for further research and policy making.
DOI: 10.4211/hs.0ae232525f984007ba96c1762f21dd3d
title: Olympic Mountains Climate Analysis

description: This study examines the impact of climate variability on glaciers in the Olympic Mountains, Washington State, USA. The area is known for a significant precipitation gradient, with annual rainfall varying from 6.5 meters on the west-facing slopes to 0.5 meters in the northeast lowlands. We are investigating the hypothesis that past variations in glacier extent were influenced by this spatial variability in precipitation.

Our analysis relies on data from the Weather Research and Forecasting (WRF) model, captured during the Olympic Mountain Experiment (OLYMPEX) campaign of 2015-2016. This data offers a valuable source of detailed information about the region's climate dynamics.

The first dataset, "OLYMPICS_ELWHA_QUINAULT_6-HOUR_MEANS.csv," contains average precipitation data within the Elwha and Quinault basins for each 6-hour model run. This information helps to show how precipitation patterns vary within these basins over time.

The second dataset, "OLYMPEX_RAINNC_TOTAL.tif," includes the total sum of the RAINNC variable, which represents total precipitation, for the entirety of the OLYMPEX campaign. This comprehensive data provides a clear picture of overall precipitation levels during the study period.

By using these datasets, we aim to gain a better understanding of the relationship between precipitation and glacier extent in the Olympic Mountains. This knowledge is crucial for assessing the effects of climate change in this region and others with similar climate patterns.
DOI: 10.4211/hs.d8df4d9fdd874cb6a66fa2495e61ab09
title: Modifications to the single point velocity measurement method for estimating river discharge in low-resource environments

description: This resource contains Mathematica codes to draw the isovel lines in a generic river cross-section, codes to display velocity profiles, and codes to estimate the discharge and calculate the errors. 
Cross-section and observed velocity data for the Yellow River, Edo River, Tiber River, Chiascio River, Rio Grande Channel, and San Joaquin River also are provided.
DOI: 10.4211/hs.9cee88f43ce6401c92f05c12706308e7
title: SI Dataset P2

description: These are data that has been used for the article "Explicit simulation of environmental gas tracers with integrated surface and subsurface hydrological models" that have been published in Frontiers in Water under the doi : 10.3389/frwa.2022.980030
DOI: 10.4211/hs.d333d776e3374ad6a9186b752b35b38a
title: Identification of groundwater emergence in a naturally bedded culvert in Conway, PA

description: This project focused on identifying groundwater seep locations and estimating flux rates of groundwater emerging into a 0.5 km reach of a naturally-bedded culvert confining a stream channel in an industrial area. Two steel-reinforced 1-cm diameter fiber optic cables were installed approximately 20 cm into streambed sediment in 4 transects along the length of the tunnel (See layout figure).  The two fibers were connected a Silixa Ultima DTS Interrogator in a double-ended fashion, which collected temperature data from each of the four channels at 10 minute intervals. Data was collected Aug 18 – 31, 2020 and again January 9, 2021 to March 12, 2021.

Raw DTS data files available via Box: https://oregonstate.box.com/s/u6lnraus2ae9sehvkm5vkx6dz2sqs4va
DOI: 10.4211/hs.da1c282a2b464a02841672077056bcf7
title: Flood events and flood types for a large sample of catchments in Europe

description: This dataset provides flood events and flood types for the period 1981–2012 for a selection of 863 catchments in Europe, which are part of the Global Runoff Data Centre database (GRDC) and are uninfluenced by large dams. It accompanies an analysis by Brunner and Fischer (2022), which assesses how spatial flood connectedness varies by flood generation process using a flood event classification scheme distinguishing between three rainfall-driven and two snowmelt-influenced flood types.
The flood types were determined using the classification scheme by Fischer et al. 2019, which separates between three rainfall-induced flood types and two snowmelt-influenced types:
R1: flood events with high flood peaks and small volumes, associated with heavy rainfall of high intensity 
R2: flood events with moderate peak and volume, associated with medium-duration rainfall of uniform intensity
R3: flood events with large volume, associated with long, successive rainfall events
S1: rain-on-snow floods, where rainfall falls on a snow cover, i.e. associated with high amounts of rainfall but less snow melt compared to snow melt floods
S2: snow melt floods, where the snow cover melts, i.e. associated with a high amount of snow melt but no or only a small amount of rainfall
DOI: 10.4211/hs.e447a40108ed46dfa7407f5fb999ae6d
title: Temporal evolution of pore-scale dissolved oxygen distributions in hyporheic zones

description: The content of this resource serves as the data for the paper titled "Permeable Biofilms Can Support Persistent Hyporheic Anoxic Microzones" that published in Geophysical Research Letters. This data was output from the two-dimensional numerical model simulations.
DOI: 10.4211/hs.a7eb980e1a0545b497cd1f1a1530590b
title: SENAMHI’s of Rainfall-Triggered Shallow Landslides Inventory of Peru (SLIP)

description: This is the source data to define rainfall thresholds for shallow landslides or debris flows following Carlos et al. (2021). This inventory was compiled by the team of Hydrological Studies and Research Subdirectorate (SEH) of the hydrology department (DHI) of Peruvian National Service of Meteorology and Hydrology (SENAMHI).
More information at https://github.com/caemillan/Rainfall_thresholds_for_shallow_landslide.git.
DOI: 10.4211/hs.cb1e4d52b44f4d9ab1187162456ba04c
title: Effects of future increases in tidal flooding on salinity and groundwater dynamics in coastal aquifers

description: This resource contains the data required to reproduce the results of Heiss et al. (2022).

Heiss, J. W., Mase, B., & Shen, C. (2022). Effects of Future Increases in Tidal Flooding on Salinity and Groundwater Dynamics in Coastal Aquifers. Water Resources Research, 58. https://doi.org/10.1029/2022WR033195
DOI: 10.4211/hs.d3efcf0c930646fd9ef4f17c56436d20
title: The Future Hydrology of the Colorado River Basin

description: This paper summarizes the current understanding of future hydrology from the perspective of how that understanding can be incorporated into the Colorado River Simulation System and other river planning models. We also provide scenarios that characterize and estimate plausible future drought conditions, based on the record of past droughts in historic and tree ring-estimated natural flow. Scenarios described in this report, although sometimes of low probability, are based on flows that have occurred in the past or can be reconstructed from the past record of streamflow. If such conditions have happened in the past, they might occur in the future, and these scenarios should be considered in future planning.
DOI: 10.15468/dl.75u2hs
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus amurensis"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049974-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.59175cf99a58462f901cdf56ec79ddbe
title: Alternative Management Paradigms for the Future of the Colorado and Green Rivers

description: Our ability to sustainably manage the Colorado River is clearly in doubt. The Bureau of Reclamation’s 2012 Water Supply and Demand Study demonstrated the precarious balance that currently exists between water supply and the amount consumptively used by society. A future with either declining water supplies or additional consumptive uses will undoubtedly upset this balance. This balance is threatened because: (1) climate change science predicts that watershed runoff will decline due to increased evapotranspiration from rising temperatures; and (2) water users, especially in the Upper Basin, aspire to increase consumptive uses by developing new projects. This white paper describes how declining runoff and increased consumptive use will impact water supplies and ecosystems, and also considers how these risks can be addressed.

The objective of the White Paper is to encourage wide-ranging and innovative thinking about how to sustainably manage the water supply, while simultaneously encouraging the negotiators of new agreements to consider their effects on ecosystems. To achieve this objective, we introduce a wide variety of alternative management paradigms that offer significant modifications or entirely new approaches to the status quo. Because of the magnitude and severity of the impending challenges that the basin faces, we intentionally describe and evaluate approaches that some might consider radical due to existing and assumed physical or management constraints. However, all infrastructural and institutional constraints on the Colorado River have been developed over only the last century, and to assume that decisions must remain bound by such constraints may limit our ability to identify innovative solutions needed to meet the challenges ahead. The goal of this white paper is to encourage conversation and consideration of new management concepts that will better meet future needs.
DOI: 10.4211/hs.9402805ae48245b7b0474c7d32440cd7
title: Colorado River Basin Accounts: Provoke discussion about more adaptive operations

description: The purpose of this activity is to provoke participants to discuss more adaptive Colorado River operations than existing operations that equalize reservoirs and expire in 2026. Participants use a Google Sheet to consume, save, and trade water in 6 basin accounts, protect Lake Powell and Lake Mead, sustain endangered, native fish of the Grand Canyon, and discuss. Follow the requirements and facilitation directions in the readme.md file.

CONTENTS:
1) readme.md - Requirements, facilitation directions, publications, file contents, and more.
2) Basin Accounts Tool - ColoradoRiverBasinAccounts.xlsx. Move into Google Sheets and follow Facilitation Directions (in readme.md). Or open ReadMe-Directions Worksheet.
3) Lets Start - ColoradoRiverBasinAccounts-LetsStart.pdf. Visual directions.
4) Model Guide - https://github.com/dzeke/ColoradoRiverCoding/blob/main/ModelMusings/Support/ModelGuide/ModelGuide-CombinedLakePowellLakeMead.md. Online. 
5) Manuscript - 3-LessonsUseGoogleSheetsZoomToDiscussMoreAdaptiveColoradoRiverOperations.docx. Write up for publication as a journal article. Cite-able version at https://digitalcommons.usu.edu/cee_facpub/3778/.
DOI: 10.4211/hs.be874910144b4e68b353f93991c78a0d
title: BGU - VMS water content measurements in Gilat experiment 2016-2018

description: This resource includes data for 
"Probability distribution for water fluxes in a heterogeneous unsaturated zone" 
by Gal Weissman, Ofer Dahan and Golan Bel, Ben Gurion University of the Negev

Soil moisture measurements in file: "WC_Weissman_Dahan_Bel.csv"
Details about the experimental setup and monitoring system can be found in:
Weissman G. et al (2020)
https://doi.org/10.1002/vzj2.20041

Simulation boundary conditions in file: "Boundary_Conditions_Weissman_Dahan_Bel.xlsx"
DOI: 10.4211/hs.d2f319994a0e4a07ac0b09dcdff4bb61
title: Tijuana River Discharge and Suspended Sediment Concentration

description: Discharge and suspended sediment concentration data for the Tijuana River at three locations:  International Boundary and Water Commission gage (all discharge data); Hollister Bridge, and Dairy Mart Road.  Data collection and analysis are described in Biggs, T., Zeigler, A., & Taniguchi-Quan, K. T. (2022). Runoff and sediment loads in the Tijuana River: Dam effects, extreme events, and change during urbanization. Journal of Hydrology: Regional Studies, 42, 101162. https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101162
DOI: 10.4211/hs.a3a34708f67e47079b1025c4c4d460c2
title: Antarctic Firn Aquifers

description: We acquired temperature profile measurements on two ice shelves in the Antarctica Peninsula : The Wilkins and the George VI.  This work was achieved with a Silixa XT Distributed Temperature Sensing (DTS).

RAW DTS data can be found here: https://nevada.app.box.com/folder/172079674577
DOI: 10.4211/hs.fb7ff2036b1d46feb86f290d443cf6a8
title: Phenology-based, Multi-Scale Classification of Invasive Annual Grasses  to the Species Level using Hyperspatial UAV Data

description: The spread of invasive plant species severely alters wildfire regimes, degrades critical habitat for native species, and has detrimental impacts upon ecosystem function, rangeland productivity, and dynamics of long-term carbon storage. Remote sensing technology has greatly improved our understanding of invasive plant ecology, and hence our ability to manage invasive species. Imagery obtained from airborne or space-borne platforms can provide spatially explicit estimates of plant population size, extent, and spread. However, it has proved quite challenging to remotely detect and monitor weed invasions at the species level, as even the most detailed satellite imagery is commonly greater than one meter in resolution and is too coarse to identify isolated individuals or small patches of invasion. There is a growing need to map the spread of invasive grasses at the species level to facilitate precision management of invasive weeds. Controlling emerging and individual infestations is critical for slowing the rate of invasion and promoting rangeland biodiversity in regions that are potentially at risk. 

By capitalizing on species-specific differences in plant phenology and using high resolution Unmanned Aerial Vehicle (UAV) imagery we are able to collect detailed data emphasizing the spectral differences between invasive plants at the species level, even where different species co-occur in a fine-grained mosaic. UAVs can produce images at the centimeter scale, avoiding the 'mixed-pixel problem' where larger pixels encompass multiple cover types and plant species, confounding classification efforts. Pixel-based landcover classifications at this scale frequently contain excessive spatial detail caused by variations in features such as shadows and canopy gaps, often resulting in misclassification, inaccuracy, and a “salt-and-pepper” effect. This study addresses this challenge and refines a novel combination of spectral, textural, contextual, object-based, and multitemporal plant phenology-based classification techniques that employs the full range of available information to differentiate invasive annual plants to the species level. A detailed vegetation classification can be used to train classifications at larger resolutions, identifying invasion patterns at landscape and regional scales. By comparing classifications across spatial resolutions, we can better characterize the landscape context of annual grass invasions. Our approach distinguishes invasive plant species from one another and from the dominant species of native vegetation within which they are embedded, increasing the utility of remote sensing data in invasive species management. Analyzing alternative resolutions contributes to the management of invasive species and deepens our understanding of invaded plant communities at multiple scales.