cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.b3773518e38b454780492d79e3a3f050
title: Data Release, US Stream Temperature Trend

description: This resource contains the data supporting the article "Monthly river temperature trends across the US confound annual changes".

This resources contains a list of sites, site classifications, and river temperature trends for sites across the United States.  Trends were calculated at annual and monthly timescales.  Annual trends were calculated using the Seasonal Mann-Kendall trend test; monthly trends were calculated using the Mann-Kendall trend test.  Additional information describing methods is included in Kelleher et al. (2021).  All trends are calculated using publicly available river temperature data from the United States Geological Survey.
DOI: 10.4211/hs.85f3584dccb54afba5698ac615ff949a
title: Utah Lake Subwatersheds Solute Chemistry

description: This dataset includes stream solute concentrations measured in the Utah Lake Watershed. Because synoptic sampling requires rapid data collection in a short period of time, we used a citizen science approach to collect over 200 water samples in a single day. Samples were collected over three citizen science synoptic water sampling events which were conducted in March (Spring), July (Summer), and October (Fall) 2018. Volunteers were trained in person on the day of sampling and were provided with site coordinates, detailed written instructions, and sampling materials. Upon completion of sampling, participants returned their sampling kits, samples were manually inspected for quality control and any samples with incomplete data or other irregularities were discarded. Samples were filtered in the field with DI water-rinsed 0.45 µm cellulose acetate filters (Millipore Millex-GV) and immediately frozen or refrigerated and analyzed within 2 weeks of sampling. Anions (NO^3-, NO^2-, SO[4] ^2-, Cl-, and PO[4] ^3-) and cations (NH^4+) were quantified by ion chromatography (Dionex Thermofisher HPIC). Soluble reactive phosphorus was quantified colorimetrically using the ascorbic acid method (ref). We assumed phosphorus concentrations to be equal to the average of both the values determined by ion chromatography and ascorbic acid methods. Dissolved organic carbon (DOC) and total dissolved nitrogen (TN) were quantified using a C/N auto-analyzer (Elementar, Ronkonkoma, NY). Dissolved inorganic nitrogen (DIN) was calculated as the sum of N species (i.e. NO^3-, NO^2-, and NH^4+) from the ion chromatography analysis. We used the application USGS StreamStats to delineate watersheds and calculate watershed area (km2). The application also calculates percent land cover from the National Land Cover Database (NLCD) 1992 and 2011, classified as forested, developed, impervious surface, or herbaceous upland for each site.
DOI: 10.4211/hs.918ea9194af04d66aea6e5aea7b6cc24
title: Summary of nitrogen isotope ratios (d15N) in cultivated and uncultivated soil profiles of the Judith River Watershed

description: Soil samples were collected from 75 cultivated soils excavated in August-September 2012 in fallow fields, and two uncultivated soils excavated in August 2013, to 145 cm using a mini excavator, at three fields on key landforms in the watershed that were under similar management for non-irrigated wheat production. Samples were collected volumetrically in 15 cm depth increments (1500 cm3) and weighed. Field moist samples were dried at ~50°C for 24-48 hours, sieved to obtain the fraction <2mm, and subsamples of the fine fraction milled overnight in duplicate prior to weighing for total nitrogen and d15N analysis by combustion-IRMS (Delta V, Thermo) at the USGS Southwest Regional Isotope lab in Denver. Duplicates were included every six samples, and where concentration or isotopic differences were >10%, proximal samples were re-analyzed. Results are omitted for samples that contained insufficient nitrogen or where analysis was otherwise unsuccessful. Samples from 21 locations on two landforms, including two native range sites, were analyzed. A total of 62 analyses from these sites were successful, and results are presented as averages for each depth increment across all sites.
DOI: 10.4211/hs.2020a285097d410cb8ba5428c81bb3be
title: Johnson Creek Basin Water Temperature Monitoring

description: Short term deployment of DTS in Oxbow feature of Johnson Creek, Portland, OR. 

Data available in August 2021 by contacting ctemps@unr.edu.
DOI: 10.4211/hs.1b66a752b0cc467eb0f46bda5fdc4b34
title: Notebooks for post-processing the retrieved National Water Model Retrospective run results and inputs at SNOTEL sites

description: This resource contains Jupyter Notebooks that are used for post-processing the retrieved National Water Model retrospective simulations (NWM-R2), which are geospatial gridded results with a spatial resolution of 1 km and temporal resolution of 3 h. The NWM-R2 grid cells used were from https://doi.org/10.4211/hs.7839e3f3b4f54940bd3591b24803cacf and snow water equivalent and snow-covered area fraction at these grid cells from https://doi.org/10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a that retrieved this information from the NOAA Google Cloud.
DOI: 10.4211/hs.493e0ad05c2d45199427cc41a6c76de0
title: Notebooks for combining the National Water Model results/inputs with observations from SNOTEL and MODIS at SNOTEL sites

description: This resource includes Jupyter Notebooks that combine (merge) model results with observations. There are four folders: 

- NWM_SnowAssessment: This folder includes codes required for combining model results with observations. It also has an output folder that contains outputs of running five Jupyter Notebooks within the code folder. The order to run the Jupyter Notebooks is as follows. 
First run Combine_obs_mod_[*].ipynb where [*] is P (precipitation), SWE (snow water equivalent), TAir (air temperature), and FSNO (snow covered area fraction). This combines the model outputs and observations for each variable. Then, run Combine_obs_mod_P_SWE_TAir_FSNO.ipynb. 

- NWM_Reanalysis: This folder contains the National Water Model version 2 retrospective simulations that were retrieved and pre-processed at SNOTEL sites using https://doi.org/10.4211/hs.3d4976bf6eb84dfbbe11446ab0e31a0a and https://doi.org/10.4211/hs.1b66a752b0cc467eb0f46bda5fdc4b34. 

- SNOTEL: This folder contains preprocessed SNOTEL observations that were created using https://doi.org/10.4211/hs.d1fe0668734e4892b066f198c4015b06.

- GEE: This folder contains MODIS observations that we downloaded using https://doi.org/10.4211/hs.d287f010b2dd48edb0573415a56d47f8. Note that the existing CSV file is the merged file of the downloaded CSV files.
DOI: 10.4211/hs.8507aa41130e45bfb0752026cf2253ab
title: Notebooks for visualizations reported at A Comparison of National Water Model Retrospective Analysis Snow Outputs at SNOTEL sites across the Western U.S.

description: This resource contains Jupyter Notebooks used to create Figures of Garousi-Nejad, I. and D. G. Tarboton, (2022), "A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States," Hydrological Processes, 36(1): e14469, https://doi.org/10.1002/hyp.14469.
DOI: 10.4211/hs.7839e3f3b4f54940bd3591b24803cacf
title: Notebook to get the indices of National Water Model grid cells containing SNOTEL sites

description: The Jupyter Notebook shared here determines X and Y indices of the National Water Model grid cells that contain snow telemetry (SNOTEL) sites. It uses two inputs: one CSV file that includes SNOTEL site information and one NetCDF file that is a land surface model output of the NWM reanalysis results. You can open this resource with CUAHSI JupyterHub and run the notebook within the code folder. The output is a CSV file that gives X and Y indices of the National Water Model grid cells associated with each SNOTEL site.
DOI: 10.4211/hs.7734e04b7c4f40eb96b08c2e8ab124a7
title: Scripts for "Changes in Snowmelt Hydrology across the Eastern US as Winters Warm"

description: This is the repository containing the coding scripts used in the programming software "R" used in the analyses performed in Ford et al. 2021. These scripts take daily weather station observations from the GHCN network as well as daily stream gage data from USGS and aggregates them across several temporal and spatial scales before analyzing the differences in temperature, snow and streamflow in warmer winters and cooler winters across the Eastern US for water years 1960-2019. All data used, including the HUC-2 and HUC-4 basins used in the spatial aggregations are publicly available from USGS or NOAA at other sources. Please see Ford et al. 2021 for full details.

Preferred citation:
Ford, C.M., Kendall, A.D. and Hydnman, D.W. 2021. Snowpacks decrease and streamflows shift across the eastern US as winters warm. Science of the Total Environment.
https://doi.org/10.​1016/​j.​scitotenv.​2021.​148483
DOI: 10.4211/hs.d8c1b413951843cf9be968e9d2a4aa79
title: Projection of Seasonal Streamflow Extremes for UCRB Dataset

description: This dataset contains the files with time series of potential covariates, 3-day maximum spring streamflow, and average spring streamflow used to implement a space-time model for projection of seasonal streamflow extremes in the Upper Colorado River basin that considers the nonstationarity and spatio-temporal dependence of high flows. It also contains a file with basic information for the seven-station gauges considered here. The raw data were obtained from different sources such as USGS, NRCS, and NOAA. Then, data were processed to obtain the dataset presented here.
DOI: 10.4211/hs.19b6a63d912b4a86aacc3a2aeb70558d
title: St. Jones NERR seepage meter field campaign data

description: This resource includes seepage meter data from two field campaigns (August 26, 2016 and Marsh 2-3, 2017) at St. Jones National Estuarine Research Reserve in Dover, Delaware. Seepage meters were used to quantify groundwater-surface water exchange between the salt marsh sediment and tidal channel. This resource includes raw data and flux calculations from 16 seepage meters over a tidal cycle.
DOI: 10.4211/hs.d7caec9df1f8426690927d9957c3ed7f
title: Wissahickon dissolved oxygen and metabolism data

description: These are the datasets used in the paper Ledford, SH, Diamond, J, and L Toran. 2021. Large spatiotemporal variability in metabolic regimes for an urban stream draining four wastewater treatment plants with implications for dissolved oxygen monitoring. PLOS One. 
The first dataset (DO_QAQC.csv) contains 15- and 30-minute dissolved oxygen concentrations for nine sites in the Wissahickon Creek watershed, monitored from April 1, 2017 to May 8, 2018. Seven sites were monitored by the authors and all data are in 15-minute intervals, while two sites are monitored by the Philadelphia Water Department/USGS except in winter, and data are in 30-minute intervals. All DO data have been through a QAQC process and data that failed the process have been removed. In addition to DO concentration, DO as percent saturation (calculated using temperature), average water depth at the site, and logger type used to collect the DO measurement are reported. The second dataset (StreamMetab_Results.csv) includes results from running the StreamMetabolizer.R code on the DO_QAQC.csv data. Once again, model results that failed the QAQC process have been removed. In addition, diel minimum, maximum, and mean DO concentrations were calculated for each day and are reported here, along with DO amplitude, which is the maximum DO minus minimum. The third sheet (QAQC_Summary.xlsx) summarizes data that were removed from StreamMetab_Results.csv during the QAQC process.
DOI: 10.4211/hs.2ae24516a62847f893867d33c31937d4
title: Supporting data and scripts for "Worldviews more than experience predict Californians’ support for wildfire risk mitigation policies"

description: Code and data repository for the Environmental Research Letters article "Worldviews more than experience predict Californians’ support for wildfire risk mitigation policies. See Readme.md below for downloading and installation instructions and Readme.html in project file directory for more details.
DOI: 10.4211/hs.db248589a52a41c4a6f387bbefbab3a9
title: River mask before and after the Elwha dam removals, WA.

description: Two dams located on the Elwha River in Washington state were removed from 2011 to 2014. This resource contains a river mask prior to the removal in 2011 and three subsequent mask files from 2013, 2015, and 2017 showing the morphological evolution of the channel. The output river mask raster data were created using publicly available aerial imagery from the National Agricultural Imagery Program. First, supervised classification was performed to classify all water, non-water (vegetation, bare soil, and urban), water shadow, and non-water shadow pixels. The clear water and shadow water pixels were then reclassified as one, and finally, pixels around bridge cross sections, and additional misclassified pixels were manually corrected for each time period.
DOI: 10.4211/hs.8f203765ba964f148eeab0d95ccb7159
title: Agricultural managed aquifer recharge locations in the southern Central Valley

description: This data repository contains supporting information and datasets from the publication titled "Identifying agricultural managed aquifer recharge locations to benefit drinking water supply in rural communities" published by Nisha Marwaha, George Kourakos, Elad Levintal, and Helen E. Dahlke in the journal Water Resources Research (https://doi.org/10.1029/2020WR028811).

The datasets are input and output files of a GIS-based multi-criteria decision analysis that combines biophysical data (soils, land use, and surface water conveyance) with groundwater modeling and particle tracking to identify suitable agricultural land parcels for multi-benefit groundwater recharge within well capture zones of 288 rural communities. Parcels are prioritized using a vulnerability index to change in groundwater supply, derived from well reliance and failures, pesticide applications, land subsidence, and socio-economic data. Our analysis identifies 2,998 suitable land parcels for Ag-MAR within the well capture zones of 149 of the 288 communities, of which 144 rely mainly on groundwater for drinking water. The majority of identified Ag-MAR parcels serve communities ranked as having extreme or very high vulnerability to changes in groundwater supply. Our research produces new understanding of factors contributing to community vulnerability and resilience to changes in drinking water supply and can be used to discuss actions to help achieve a stable and high-quality water supply.
DOI: 10.4211/hs.f17ac03970cb4160bd7bd0945c20f0ba
title: Freshwater Salinity Regimes

description: Freshwater salinization of rivers is occurring across the globe because of non-point source loading of salts from anthropogenic activities such as agriculture, urbanization, and resource extraction that accelerate weathering and release salts. Multi-decadal trends in river salinity are well characterized, yet our understanding of annual regimes of salinity in rivers draining diverse western U.S. landscapes and their associated catchment attributes is limited. We classified annual salinity regimes in 242 stream locations through dynamic time warping and fuzzy c-medoids clustering of salinity time series. We found two dominant regimes in salinity characterized by an annual summer-fall peak or spring decline. Using random forest regression, we found that precipitation amount, stream slope, and soil salinity were the most important predictors of salinity regime classification. Advancing our understanding of salinity regimes in rivers will improve our ability to predict and mitigate the effects of salinization in freshwater ecosystems through management interventions. All code and data used in the analysis of this project are included in this repository.
DOI: 10.4211/hs.f400f16baaf746529daaa0ff6fcef6ba
title: Entropy data

description: The shared data set contains the information about the :- Measurement number, Date of measurements, Discharge, Mean velocity, Maximum flow velocity,  Maximum velocity at 0.6D flow depth ( depth is measured from top).
DOI: 10.4211/hs.a8735826b8fe434ca570711a9b9acb49
title: Spatially distributed groundwater recharge from hydrological model

description: We present the results of a semi-distributed hydrological modeling approach that incorporates water balance routines coupled with baseflow modeling techniques for assessing spatio-temporal variations of groundwater recharge on a regional scale. The study area is the Amathole Water Supply System situated in a semi-arid part of the Eastern Cape of South Africa. Dependent on the sub-catchment, the mean annual groundwater recharge is estimated to vary between ~0.5 to 8 % of annual rainfall. Annual groundwater recharge exhibits a high spatio-temporal heterogeneity.
DOI: 10.15468/dl.dtb5xt
title: Occurrence Download

description: A dataset containing 68914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.11597 47.3448,-69.97043 47.27692,-69.72277 47.42552,-69.43365 47.66221,-69.40919 47.8053,-69.55229 47.88785,-69.89229 47.65548,-70.08308 47.47661,-70.11597 47.3448))",
 "IucnRedListCategory is one of (NT, VU, EN, CR, EW, EX)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 68914 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049933-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7grj9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrocalamus nianhei V.T.Nguyen & V.L.Le"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021605-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dudmvc
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ovis vignei Blyth, 1841"
 ]
}

 The dataset includes 197 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107296-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxmi91
title: Occurrence Download

description: A dataset containing 2678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loxodonta Anonymous, 1827",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2678 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085779-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k88bck
title: Occurrence Download

description: A dataset containing 5897083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Animalia",
 "Year 2014-2015"
 ]
}

 The dataset includes 5897083 records from 2389 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014423-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffnmgm
title: Occurrence Download

description: A dataset listing the 130 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.91353 45.96053,8.30247 45.96053,8.30247 47.83228,5.91353 47.83228,5.91353 45.96053))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinopsida"
 ]
}

 The dataset's 130 records were derived from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108169-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqbkbm
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnonectes leytensis (Boettger, 1893)"
 ]
}

 The dataset includes 1198 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302473-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k4fa6
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbostylis puberula Kunth"
 ]
}

 The dataset includes 39 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108199-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbnnk3
title: Occurrence Download

description: A dataset containing 2766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.33751 18.38122,-99.59153 18.76152,-99.45989 18.76152,-99.28437 19.08332,-98.61518 18.95899,-98.61518 19.79272,-99.09787 20.03407,-99.36116 19.78541,-99.52206 20.16571,-99.86579 20.29004,-99.94258 20.07795,-100.14736 20.00482,-100.19124 19.77078,-100.54229 18.93705,-100.33751 18.38122))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes Meigen, 1818"
 ]
}

 The dataset includes 2766 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015037-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7fmaa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreobates ayacucho (Lehr, 2007)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302474-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cubk6s
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys scripta elegans (Wied, 1838))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation)",
 "Country is one of (United Kingdom of Great Britain and Northern Ireland)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 290 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033478-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44eewy
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etheostoma wapiti Etnier & Williams, 1989"
 ]
}

 The dataset includes 74 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329344-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.