cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.cfd18fcf54904659b51f02ec74b1124f
title: Sandia Mountains 10k Site - Snow Depth Transects (2019)

description: The 10k research plot is located about 250m north of the 10K Trailhead parking lot in the Cibola National Forest. This area is at the beginning of the Canadian/Hudsonian Zone of the Eastern Sandia Mountains, which is part of the Arizona/New Mexico Mountains Ecoregion. The plot is roughly 1,200m^2 and runs east-west with an open area (~400 m^2) on the eastern end and a forest stand (~800 m^2) located uphill on the western end. The hill has an eastern aspect with an 18 degree slope. The forest vegetation in this area predominantly consists of spruce, fir, and aspen trees. Snow depth data was collected manually at this site from February 8, 2019 until May 10, 2019  using a 3-meter snow depth probe.
DOI: 10.4211/hs.421eab0908af482a8efba8767eb98a9f
title: Sandia Mountains 10k Site - Snow Pit Density, Temperature, Stratigraphy (2019)

description: The 10K research plot is located about 250m north of the 10K Trailhead parking lot in the Cibola National Forest. This area is at the beginning of the Canadian/Hudsonian Zone of the Eastern Sandia Mountains, which is part of the Arizona/New Mexico Mountains Ecoregion. The plot is roughly 1,200m^2 and runs east-west with an open area (~400 m^2) on the eastern end and a forest stand (~800 m^2) located uphill on the western end. The hill has an eastern aspect with an 18 degree slope. The forest vegetation in this area predominantly consists of spruce, fir, and aspen trees. Snow pit density, temperature, and stratigraphy data were collected at two snow pits (forested and open areas) from February 8, 2019 until April 12, 2019.
DOI: 10.4211/hs.347730fbfd3045e091ca2917f8f9d042
title: Sandia Mountains 10k Site - Snow Depth Transects (2020)

description: The 10k research plot is located about 250m north of the 10K Trailhead parking lot in the Cibola National Forest. This area is at the beginning of the Canadian/Hudsonian Zone of the Eastern Sandia Mountains, which is part of the Arizona/New Mexico Mountains Ecoregion. The plot is roughly 1,200m^2 and runs east-west with an open area (~400 m^2) on the eastern end and a forest stand (~800 m^2) located uphill on the western end. The hill has an eastern aspect with an 18 degree slope. The forest vegetation in this area predominantly consists of spruce, fir, and aspen trees. Snow depth data was collected manually at this site from December 17, 2019 until April 28, 2020  using a 3-meter snow depth probe.
DOI: 10.4211/hs.67fff3595edb4e1db6392fe2e4f8aefd
title: Sandia Mountains 10k Site - Snow Pit Density, Temperature, Stratigraphy (2020)

description: The 10k research plot is located about 250m north of the 10K Trailhead parking lot in the Cibola National Forest. This area is at the beginning of the Canadian/Hudsonian Zone of the Eastern Sandia Mountains, which is part of the Arizona/New Mexico Mountains Ecoregion. The plot is roughly 1,200m^2 and runs east-west with an open area (~400 m^2) on the eastern end and a forest stand (~800 m^2) located uphill on the western end. The hill has an eastern aspect with an 18 degree slope. The forest vegetation in this area predominantly consists of spruce, fir, and aspen trees. Snow pit density, temperature, and stratigraphy data were collected at two snow pits (forested and open areas) from December 17, 2019 until April 28, 2020.
DOI: 10.4211/hs.81431bd9de594ff1b1026ac28d404e91
title: Sandia Mountains 10k Site - Snow Pit Liquid Water Content [LWC] (2020)

description: The 10k research plot is located about 250m north of the 10K Trailhead parking lot in the Cibola National Forest. This area is at the beginning of the Canadian/Hudsonian Zone of the Eastern Sandia Mountains, which is part of the Arizona/New Mexico Mountains Ecoregion. The plot is roughly 1,200m^2 and runs east-west with an open area (~400 m^2) on the eastern end and a forest stand (~800 m^2) located uphill on the western end. The hill has an eastern aspect with an 18 degree slope. The forest vegetation in this area predominantly consists of spruce, fir, and aspen trees. Liquid water content (LWC) data was collected and estimated using a snow calorimeter (Kasashima et al., 1998) during the spring snowmelt period (February 25, 2020 - April 28, 2020) once the snowpack became isothermal. Two snow pits (open and forested areas) were dug to collect LWC data.
DOI: 10.4211/hs.6b35719ca1614c118fbbf12a8002f6f7
title: Delayed Impact Calculator

description: This calculator is an Excel workbook programmed with Visual Basic for Applications macro code to perform finite-difference computations for assessment of attenuation and delay dynamics of stream-aquifer system response to groundwater impulse time series input.  The tool is intended to estimate impact accrual schedules for well-induced stream depletion or for groundwater return flow scenarios. Single impulse, uniform series, variable series, and annual pattern impulse type options facilitate streamlined input and analysis of a diverse range of occurrence and usage patterns, including intermittent pumping.  Segregation of response output by stream reach gives location-specific insight useful to surface water administration.  Tidy secondary output options include cumulative ratio, response ratio, and period ratios of response to impulse.  The workbook (.xlsm) is accompanied by an instruction manual (.pdf) and a version in Spanish (.xlsm).

La calculadora ofrece las mismas habilidades como el Delayed Impact Calculator original en inglés, sino en español.  Es un cuaderno de Excel, programado con código de macro de Básico Visual para Aplicaciones para hacer computaciones de diferencia finita para evaluación de dinámicas de atenuación y demora de respuesta de sistemas río-acuífero a datos de entrada de serie de tiempo de impulso al agua subterránea.  La herramienta tiene intención de aproximar a horarios de llegada al río de impactos de escenarios de merma de río inducido por bombeo de pozos o de flujo de retorno de agua subterránea.  Opciones de tipo de impulso de impulso solo, serie uniforme, serie variable, y horario anual facilitan entrada de datos racionalizada y análisis de diversos horarios de acontecimiento y uso.  Segregación de salida de datos de respuesta por segmento de río da entendimiento e información específica por ubicación.  Opciones ordenados de salida de datos secundarios incluyen  a proporción acumulativa, proporción de respuesta, y proporción de periodo en términos de respuesta contra impulso.  Viene como cuaderno con macro (.xlsm).
DOI: 10.4211/hs.48b95442554a49119fb20f3290555ab3
title: Supporting Data and Calculations for Sensor-Based Detection of Algal Blooms

description: This resource is a companion to the manuscript "Sensor-based classification of algal blooms for public health advisories and long-term monitoring in eutrophic waters". This .rar file contains the fully reproducible code in an r-markdown format as well as a readable .html document. Raw and processed data are stored as .csv files.
DOI: 10.34740/kaggle/dsv/14132269
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.4211/hs.5b069946865e44dfacdd80c2b4d43865
title: The East Asian Subtropical Jet Stream and Atlantic tropical cyclones

description: Atlantic tropical cyclones (TCs) can cause significant societal and economic impacts, as 2019’s Dorian serves to remind us of these storms’ destructiveness. Decades of effort to understand and predict Atlantic TC activity have improved seasonal forecast skill, but large uncertainties still remain, in part due to an incomplete understanding of the drivers of TC variability. Here we identify an association between the East Asian Subtropical Jet Stream (EASJ) during July-October and the frequency of Atlantic TCs (wind speed ≥ 34 knot) and hurricanes (wind speed ≥ 64 knot) during August-November based on observations for 1980-2018. This strong association is tied to the impacts of EASJ on a stationary Rossby wave train emanating from East Asia and the tropical Pacific to the North Atlantic, leading to changes in vertical wind shear in the Atlantic Main Development Region (80°W-20°W, 10°N-20°N).
DOI: 10.4211/hs.d66ef2686787403698bac5368a29b056
title: PEARC20 submitted paper: "Scientific Data Annotation and Dissemination: Using the ‘Ike Wai Gateway to Manage Research Data"

description: Abstract: Granting agencies invest millions of dollars on the generation and analysis of data, making these products extremely valuable. However, without sufficient annotation of the methods used to collect and analyze the data, the ability to reproduce and reuse those products suffers. This lack of assurance of the quality and credibility of the data at the different stages in the research process essentially wastes much of the investment of time and funding and fails to drive research forward to the level of potential possible if everything was effectively annotated and disseminated to the wider research community. In order to address this issue for the Hawai’i Established Program to Stimulate Competitive Research (EPSCoR) project, a water science gateway was developed at the University of Hawai‘i (UH), called the ‘Ike Wai Gateway. In Hawaiian, ‘Ike means knowledge and Wai means water. The gateway supports research in hydrology and water management by providing tools to address questions of water sustainability in Hawai‘i. The gateway provides a framework for data acquisition, analysis, model integration, and display of data products. The gateway is intended to complement and integrate with the capabilities of the Consortium of Universities for the Advancement of Hydrologic Science’s (CUAHSI) Hydroshare by providing sound data and metadata management capabilities for multi-domain field observations, analytical lab actions, and modeling outputs. Functionality provided by the gateway is supported by a subset of the CUAHSI’s Observations Data Model (ODM) delivered as centralized web based user interfaces and APIs supporting multi-domain data management, computation, analysis, and visualization tools to support reproducible science, modeling, data discovery, and decision support for the Hawai’i EPSCoR ‘Ike Wai research team and wider Hawai‘i hydrology community. By leveraging the Tapis platform, UH has constructed a gateway that ties data and advanced computing resources together to support diverse research domains including microbiology, geochemistry, geophysics, economics, and humanities, coupled with computational and modeling workflows delivered in a user friendly web interface with workflows for effectively annotating the project data and products. Disseminating results for the ‘Ike Wai project through the ‘Ike Wai data gateway and Hydroshare makes the research products accessible and reusable.
DOI: 10.4211/hs.9edae0ef99224e0b85303c6d45797d56
title: Tutorial: How to use Google Data Studio and ArcGIS Online to create an interactive data portal

description: This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s). 

The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites. 

Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8
DOI: 10.4211/hs.d43fad1af0c642b697650d2aa979f29d
title: Guanajuato Groundwater Chemistry

description: This is the raw data used in the paper entitled "Rising Arsenic Concentrations from Dewatering a Geothermally Influenced Aquifer in Central Mexico" in the journal Water Research in 2020 by the authors listed here. Four files are included: 1) historical delta 18O concentrations ("1999 18O.xlsx") in 122 wells which were measured shortly before 1999 and assembled and reported in Jurgen Mahlknecht's PhD dissertation (Mahlknecht, J. (2003) Estimation of recharge in the Indpendence aquifer, central Mexico, by combining geochemical and groundwater flow models, University of Agricultural and Life Sciences (BOKU)); 2) historical water chemistry data ("1999_Wells_Chemistry.xlsx") in 246 wells which were measured shortly before 1999 and assembled and reported in Dr. Mahlknecht's dissertation; 3) water chemistry data which was collected between 2014 and 2018. Most of the wells were sampled between 2015 and 2017. Many of the wells were sampled 2-5 times during different times of the year between 2014 and 2019, however, the database included here only has the first sampled chemistry from each of the 137 wells. This was the main database used to perform the analyses in the paper; 4) water chemistry data from the 22 re-sampled wells between 1999 and 2016 ("Resampled Well Data_mM). These only include the parameters that were analyzed in 1999. The nominal detection limit for ICP-MS data measured in 2016 was 0.01 ppb. The nominal detection limit for the Ion Chromatograph data was 0.01 ppm. Missing values indicates the data was not available. Alkalinity values are reported as mg/L "HCO3" which is not the convention of reporting this parameter as mg/L "CaCO3", however, it was consistent with the format used for the 1999 data set.
DOI: 10.4211/hs.7998bb21207b41a3a036d58582bb59e4
title: BGU Clay Sand Experiments: Clay Addition Increment

description: Hyporheic exchange flux (HEF) plays an important role in the transport of nutrients and sediments in stream ecosystems. Deposition of fine suspended sediment particles can clog the streambed, reduce permeability, and lead to a reduction in HEF, resulting in impairment of various ecological processes. However, the dynamics of fine particle deposition and streambed clogging are still not well understood, especially when the bed is in motion. We conducted flume experiments to study the effects of coupled sand-kaolinite dynamics on HEF. Three experiments with a mobile sand bed and constant discharge were conducted in a laboratory flume through repeated kaolinite injection pulses at a fixed increment. HEF and participating porewater volume were assessed using salt and dye tracer tests. Kaolinite deposition rates were inferred from turbidity measurements while deposition patterns were measured using core samples. We found that fine sediment primarily accumulated within a layer below the bedform scour zone, and that this layer was thicker when kaolinite was added in larger pulses. This low-permeability layer led to an overall reduction in HEF, which declined linearly regardless of the pulse increment concentration. However, the rate of reduction in participating pore volume was higher for larger kaolinite addition increments, because faster deposition of kaolinite protected the deposits from scour and resuspension. These results indicate that clogging occurs not just during and after high-flow events, but also under constant flow conditions in which clay particles and hyporheic exchange lead to the formation of a low-conductivity layer in the bed.
DOI: 10.4211/hs.b6ec3e4d2dc645ba8fcb6af4d2f2f1db
title: Publishing and Sharing Geospatial Water Information in HydroShare

description: Presentation for AWRA Geospatial Technologies Conference held Virtually August 4-13, 2020.  This presentation on August 6.  https://www.eventscribe.com/2020/AWRAGIS/

HydroShare (www.hydroshare.org) is a hydrology-domain specific data and model repository operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). HydroShare’s goal is to advance hydrologic science by enabling researchers to more easily share data, model and workflow products resulting from their research, creating and supporting reproducibility of the results reported in scientific publications.  It supports the growing call for open data that is findable, accessible, interoperable and reusable (FAIR). HydroShare is comprised of two sets of functionalities: (1) a repository for users to share and publish data and models, collectively referred to as resources, in a variety of formats, and (2) web application tools that can act on content in HydroShare for computational and visual analysis.  Together these serve as a platform for collaboration and gateway for computation that integrates data storage, organization, discovery, and analysis and that allows researchers to employ services beyond their desktop computers to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results.  This presentation will describe ongoing enhancements to HydroShare and some of the challenges being faced in its design and ongoing development.   We report on efforts to support geospatial data types as aggregations of content within the Open Archives Initiative Object Reuse and Exchange standard resource data model used by HydroShare and describe how geospatial data services are enabled for public resources holding geospatial aggregations.  This enables geospatial data in HydroShare to be consumed by third party web applications adding to the functionality supported by HydroShare as a content storage element within a software ecosystem of interoperating systems.
DOI: 10.15468/dl.q4ydyd
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Setophaga petechia morcomi [GBIF Backbone Taxonomy])",
 "EventDate 1920-01-01-1931-01-01"
 ]
 }
 ]
}

 The dataset includes 198 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049946-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.774db39528924a88a550975561f7b897
title: TestForHousingData

description: Property data
DOI: 10.4211/hs.2fcd4f8978734d0fb0843ff0604929a7
title: Abiotic mixing-dependent reaction in a laboratory simulated hyporheic zone

description: This resource is dedicated to the raw data and images associated with the manuscript titled "Abiotic mixing-dependent reaction in a laboratory simulated hyporheic zone" published in Water Resources Research (2020). The data found here can be used to calculate mixing zone thickness and oxic fronts from dissolved oxygen optode images analyzed with MATLAB. Before getting started please read the readme txt file that details the files and provides background information. For questions or inquiries contact Erich Hester at ehester@vt.edu.
DOI: 10.15468/dl.28q852
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.328434 41.051829, -0.328562 41.092639, -0.382500 41.092639, -0.382352 41.051829, -0.328434 41.051829))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 432 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049945-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.ca59292a78df4a148f80cb02999b24af
title: spatiotemporal variability in extreme temperature events and their teleconnections with large scale atmospheric circulation in Xinjiang, Northwest China

description: In this dataset, I shared research data about the manuscript "spatiotemporal variability in extreme temperature events and their teleconnections with large scale atmospheric circulation in Xinjiang, Northwest China" published in "Journal of Geophysical Research: Atmospheres", mainly including 27 indicators for extreme climate events (16 indicators for precipitation extremes and 11 indicators for temperature extremes) in Xinjiang and three patterns of large-scale ocean-atmosphere circulation (ENSO, AO and PDO), to further evaluate spatiotemporal distribution and teleconnections with large-scale ocean-atmosphere circulation in Xinjiang, Northwest China.
DOI: 10.4211/hs.192e419f84b24871ad808a46402736b2
title: Nitrate uptake enhanced by availability of dissolved organic matter in tropical montane streams

description: Tropical forests store large amounts of Earth’s terrestrial carbon (C), but many tropical montane streams have low dissolved organic matter (DOM). This low availability of energy likely limits certain pathways of inorganic nitrogen (N) uptake, as evidenced by high rates of nitrification and predominance of nitrate (NO3-) in the total pool of dissolved nitrogen, seen in many tropical montane forests. To test this hypothesis of energy limitation to N cycling, we conducted a series of experiments to explore the influence of DOM availability on tropical stream N cycling. Nutrient pulse additions of NO3- with or without an added carbon (C) source (acetate or urea) were conducted in streams of the Luquillo Experimental Forest, Puerto Rico. In the absence of added DOM, NO3- uptake was either undetectable or had very long (>3,000 m) uptake lengths (Sw). When DOM was added with NO3-, NO3- Sw were much shorter (80 to 1,200 m), with the shortest lengths resulting from additions of acetate. Comparing uptake metrics of the added C sources, there was greater demand for acetate compared to urea and measurable urea uptake was detected much less frequently. During additions of NO3--only, ambient concentrations of dissolved organic carbon (DOC) and dissolved organic nitrogen (DON) decreased in some cases, suggesting increased metabolic demand for energy from the ambient organic matter pool under elevated levels of inorganic nutrients. Collectively, these results demonstrate that pathways of inorganic nitrogen cycling are tightly tied to energy availability at this tropical site. The response of ambient DOC and DON to increases in NO3- concentrations points to important feedbacks between inorganic nitrogen and DOM including organic nitrogen. Understanding the controls on NO3- processing in these streams is important to predict network-scale exports of nitrogen from tropical ecosystems.
DOI: 10.4211/hs.47f230801bac452ca247d27f01b9a35b
title: Cases for "A flow decomposition method based on computational fluid dynamics for rock weir head-discharge relationship"

description: This folder contains all the cases in the paper titled "A Flow Decomposition Method based on Computational Fluid Dynamics
for Rock Weir Head-Discharge Relationship".

To demonstrate how to run the cases, the RL10 case is used as an example:
1. The mesh should be generated by executing the script "runMesh".
2. The simulation should be run by executing the script "runCFD".

All simulations used OpenFOAM v5.x. For this research, all simulations were run in parallel with 160 cores. If run
with less cores, the simulation time might be long.

For other simulation cases, the bed geometries (bed.stl) should be changed. All bed geomerites can be found in the folder
named "bedSTL". The names of the files are defined in the paper. The simulated discharge Q can be changed in velocity file "U",
specifically the "volumetricFlowRate" for the "inlet" boundary condition.

Postprocessing:
1. The simulated water surface elevation (WSE.csv) was extracted in ParaView with contour alpha.water=0.5.
2. The simulated discharge was calculated by the integration of U normal to the streamwise direction with the weight of alpha.water.

This folder also contains the python script for the use of the flow decomposition method. In addition, the Matlab code to generate
the figure comparing new results and existing recommended Cd values is also included.