cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.2275657d62794c2294553919fa94b68d
title: Hawaii 1990-2019 gridded monthly rainfall mm

description: This dataset contains gridded monthly rainfall from 1990 to 2019 at 250 m resolution for seven of the eight main Hawaiian Islands (18.849°N, 154.668°W to 22.269°N, 159.816°W; the island of Ni‘ihau is excluded due to lack of data). The gridded data use a World Geographic Coordinate System 1984 (WGS84) and are stored as individual GeoTIFF files for each month-year, as indicated by the GeoTIFF file name. Contained in the dataset is a statewide complete 30-year partially gap filled monthly rainfall dataset for all stations for the entire date range with station names, ID and location. Also included are month year statewide files for rainfall kriging input files which contain station rainfall, station rainfall transformations, station transformed anomaly, and denotation of inclusion in per county kriging process, statewide gridded rainfall, statewide standard error, statewide gridded rainfall anomaly, statewide gridded rainfall anomaly standard errors, and statewide meta-data that contain per county as well as statewide cross validation statistics, station counts, and readable data quality statement. Monthly rainfall grids were created using an optimized geostatistical kriging approach to interpolate relative rainfall anomalies which are then combined with long-term means to develop the climatologically aided gridded estimates. Optimization of the kriging algorithm consists of: 1) determining an offset (constant) to use when log-transforming data; 2) quality controlling data prior to interpolation; 3) using machine learning to detect erroneous maps; and 4) identifying the most appropriate parametrization scheme for fitting the model used in the interpolation. At present, the data are available from 1990 to 2019, but datasets will be updated as new gridded monthly rainfall data become available. Rainfall products and error metrics are also available by county and can be accessed online for easy download through the Hawaiʻi Data Climate Portal available at http://www.hawaii.edu/climate-data-portal.
DOI: 10.4211/hs.a02834a6809643878bb92dda5addb341
title: Seasonal drought and its effects on frog population dynamics and amphibian disease in intermittent streams

description: The content of this resource serves as the data for Kupferberg, SJ, H Moidu, A Adams, A Catenazzi, M Grefsrud, S Bobzien, R Leidy, and SM Carlson. 2022. Seasonal drought and its effects on frog population dynamics and amphibian disease in intermittent streams. Ecohydrology doi 10.1002/eco.2395

Chytridiomycosis, caused by the pathogenic fungus Batrachochytrium dendrobatidis (Bd), has contributed to amphibian declines globally, but drivers of outbreaks vary locally. Here, we explore the role of drought in population and host‐disease dynamics of the endangered stream‐breeding foothill yellow‐legged frog (Rana boylii). In central California (USA) where severity of seasonal drought is increasing, we observed the non‐native, Bd‐tolerant and lentic‐adapted North American bullfrog (Lithobates catesbeianus) extend into streams when flood disturbance was minimal. Analysis of skin swabs revealed that prevalence and load of Bd infection among bullfrogs was low. Yet, among the native frogs, prevalence and load intensified as the seasonal drought progressed and surface flow became intermittent. When temperatures decreased in autumn and frogs concentrated at a reduced number of water points, we found dozens of dead foothill yellow‐legged frogs (2018–2019). Necropsies suggested chytridiomycosis as the likely cause of death. Despite recent lethal outbreaks, foothill yellow‐legged frog population abundance appeared resilient based on comparison to prior decades when no die‐offs were observed. Wet–dry mapping of the stream channel and retrospective analysis of hydrologic records revealed that the native frogs spawn away from perennial pools, a behaviour that may allow them to avoid bullfrogs and predatory fish. In an ecological trade‐off, tadpoles face the risk of the stream drying before metamorphosis. Fluctuations in population size thus corresponded to extremes of inter‐annual variation in streamflow that limit recruitment rather than disease outbreaks. We conclude that hydrologic constraints, which climate change may exacerbate, appear to override the stressors of non‐indigenous species and chytridiomycosis.
DOI: 10.4211/hs.aa8e4a74550f46e191f6f19d3adb740a
title: Rancho Venada Bedrock Moisture Manuscript - Data and Processing scripts

description: The accompanying files provide the data and processing code for the analyses and figure/table generation for the manuscript "Bedrock vadose zone storage dynamics under extreme drought: consequences for plant water availability, recharge, and runoff" by Hahm et al. 

The processing code is in the form of python notebooks, which were originally excuted via Google's colab environment.

To run the code as-is, the entire folder should be placed into the appropriate folder path structure on a user's google drive folder, a Google Earth Engine account must exist, and the code should be run from Colab. This folder structure is: 'My Drive/Colab Notebooks/Rancho - Rock Moisture/'

If this is not possible, the code can be executed by re-arranging the file paths to load in the static .CSV saved data files in the CSVs folder as pandas data frames at the appropriate locations.
DOI: 10.4211/hs.9547035cf37940eb9b500b7994a378a1
title: Standardized Nitrogen and Phosphorus Dataset (SNAPD)

description: Water quality monitoring can inform policies that address pollution; however, inconsistent measurement and reporting practices render many observations incomparable across bodies of water, thereby impeding efforts to characterize spatial patterns and long-term trends in pollution. Here, we harmonized 9.2 million publicly available monitor readings from 226 distinct water monitoring authorities spanning the entirety of the Mississippi/Atchafalaya River Basin (MARB) in the United States. We created the Standardized Nitrogen and Phosphorus Dataset (SNAPD), a novel dataset of 4.8 million standardized observations for nitrogen- and phosphorus-containing compounds from 107 thousand sites during 1980–2018. To the best of our knowledge, this dataset represents the largest record of these pollutants in a single river network where measurements can be compared across time and space. We addressed numerous well-documented issues associated with the reporting and interpretation of these water quality data, heretofore unaddressed at this scale, and our approach to water quality data processing can be applied to other nutrient compounds and regions.
DOI: 10.4211/hs.5e8ebdc3bfd24207852539ecf219d915
title: Online repository of materials for an all-Africa hydropower atlas (v2.0)

description: This repository accompanies the paper "A spatiotemporal atlas of hydropower in Africa for energy modelling purposes" by Sterl et al. (2021, https://open-research-europe.ec.europa.eu/articles/1-29).
DOI: 10.4211/hs.5c7a4f1c16c34079b8e3583a1497cb95
title: 1-km soil moisture predictions in the United States

description: Monthly and weekly soil moisture predictions in 2010 at 1-km spatial resolution using four different Machine Learning Methods integrated in the Satellite Soil Moisture based on a modular SOil Moisture SPatial Inference Engine (SOMOSPIE- Rorabaugh et al. 2019) (kernel-weighted k-nearest neighbors <KKNN>, Random Forests <RF>, Surrogate-Based Model <SBM> and a Hybrid Piecewise Polynomial Modeling Technique <HYPPO>). Data were acquired from the European Space Agency Climate Change Initiative (ESA CCI) soil moisture product version 6.1, 0.25-degrees spatial resolution. Modeled soil moisture layers are delivered for two regions in the conterminous United States. Each region encompasses a polygon of 7.5° x 3.75° (n = 450 pixels with 30 columns and 15 rows in the native resolution of the ESA CCI Soil moisture product). Region 1 <so called West Region> comprises an area of 275,516 km2. Region 2 <so called Midwest region> comprises an area of 283,499 km2. Predicted soil moisture values were validated by means two approaches, cross-validation using the ESA CCI estimates and independent ground-truth records from the North American Soil Moisture Database (currently known as the National Soil Moisture Network). Detailed methods and results of this dataset are described in: Llamas, R.M; Valera, Leobardo; Olaya, Paula; Taufer, Michela; Vargas, Rodrigo “Downscaling Satellite Soil Moisture based on a modular SOil Moisture SPatial Inference Engine (SOMOSPIE)”, Remote Sensing (submitted).
DOI: 10.15468/dl.ndphwm
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Populus ussuriensis"
 ]
}

 The dataset includes 96 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049965-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.cc5e0e5922f24654987e54f1842b3d78
title: Sensor data, metabolism model output, and resistance/resilience results from O’Donnell & Hotchkiss, Resistance and resilience of stream metabolism to high flow disturbances, Biogeosciences

description: Data files from: O'Donnell & Hotchkiss, Resistance and resilience of stream metabolism to high flow disturbances, Biogeosciences 

Abstract from paper: Streams are ecosystems organized by disturbance. One of the most frequent and variable disturbances in running waters is elevated flow. Yet, we still have few estimates of how ecosystem processes, such as stream metabolism (gross primary production and ecosystem respiration; GPP and ER), respond to high flow events. Furthermore, we lack a predictive framework for understanding controls on within-site metabolic responses to flow disturbances. Using five years of high-frequency dissolved oxygen data from an urban- and agriculturally-influenced stream, we estimated daily GPP and ER and analyzed metabolic changes across 15 isolated high flow events. Metabolism was variable from day to day, even during lower flows; median and ranges for GPP and ER over the full measurement period were 3.7 (0.0, 17.3) and -9.6 (-2.2, -20.5) g O2 m-2 d-1. We calculated metabolic resistance as the magnitude of departure (MGPP, MER) from the mean daily metabolism during antecedent lower flows (lower values of M represent higher resistance) and estimated resilience as the time until GPP and ER returned to the prior range of ambient equilibrium. We evaluated correlations between metabolic resistance and resilience with characteristics of each high flow event, antecedent conditions, and time since last flow disturbance. ER was more resistant and resilient than GPP. Median MGPP and MER were -0.38 and -0.09, respectively. GPP was typically suppressed following flow disturbances, regardless of disturbance intensity. The magnitude of departure from baseflow ER during isolated storms increased with disturbance intensity. Additionally, GPP was less resilient and took longer to recover (0 to >9 days, mean = 2.5) than ER (0 to 6 days, mean = 1.1). Prior flow disturbances set the stage for how metabolism responds to later high flow events: the percent change in discharge during the most recent high flow event was significantly correlated with M of both GPP and ER as well as the recovery intervals for GPP. Given the flashy nature of streams draining human-altered landscapes and the variable consequences of flow for GPP and ER, testing how ecosystem processes respond to flow disturbances is essential to an integrative understanding of ecosystem function.
DOI: 10.4211/hs.d77bdd123d474677a4d9a113327bf90f
title: icraSauerData

description: Data files used for the submitted article Bois et al. 2022 :Water temperature dynamics in a headwater forest stream: contrasting climatic, anthropic and geological conditions create thermal mosaic of aquatic habitats
DOI: 10.4211/hs.da70a09dc6074242ada756c29d12dcb3
title: R codes for a stream network model and a C-Q bending metric

description: NetworkModel_generalFIN_c contains an R function defining a time variable network model that uses a gridded ordered stream network, time series of discharge and seven input parameters to generate C-Q relationships (among others).

MaxCurv_c contains an R function for the computation of the amount of bending of a C-Q relationship (CurvMax metric).

The R codes are provided as TXT and as R-file.
The codes are written by Joni Dehaspe

This code is used and further described in this paper:
Dehaspe, J., Sarrazin, F., Kumar, R., Fleckenstein, J.H. and Musolff, A. (2021). Bending of the concentration discharge relationship can inform about in-stream nitrate removal. Hydrol. Earth Syst. Sci., 1-27, 25, doi: 10.5194/hess-25-1-2021
DOI: 10.15468/dl.7tzetf
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-178.07400 -21.45584,-50.92600 -21.45584,-50.92600 29.45584,-178.07400 29.45584,-178.07400 -21.45584))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrina edulis"
 ]
}

 The dataset includes 1075 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049966-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4211/hs.8409b4a5d40541b684d4bdafc0b16b43
title: Runoff event characteristics - Supporting Information for Winter et al. (2022)

description: This resource provides two tables of runoff event characteristics from i) long-term and ii) high-frequency (hourly) data that support the study by Winter et al. (2022) with the title "Explaining the Variability in High-Frequency Nitrate Export Patterns Using Long-Term Hydrological Event Classification". Data stems from six mesoscale (39 km² - 460 km²) catchments in in Germany that are sub-catchments of the Bode catchment, part of the TERestrial Environmental Observatories (TERENO, Wollschläger et al., 2017). Runoff events were identified according to Tarasova et al. (2018) and classified according to Tarasova et al. (2020).

Table S2. Runoff event characteristics for 5872 events from daily long-term data (1955 – 2018) 
Table S3. Runoff event characteristics for 388 events from hourly data including nitrate concentration data (2013 – 2017)

References
Tarasova, L., Basso, S., Zink, M., & Merz, R. (2018). Exploring Controls on Rainfall‐Runoff Events: 1. Time Series‐Based Event Separation and Temporal Dynamics of Event Runoff Response in Germany. Water Resources Research, 54(10), 7711–7732. https://doi.org/10.1029/2018WR022587
Tarasova, L., Basso, S., Wendi, D., Viglione, A., Kumar, R., & Merz, R. (2020). A process‐based framework to characterize and classify runoff events: The event typology of Germany. Water Resources Research, 56(5), e2019WR026951. https://doi.org/10.1029/2019WR026951
Wollschläger, U., Attinger, S., Borchardt, D., Brauns, M., Cuntz, M., Dietrich, P., et al. (2017). The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory. Environmental Earth Sciences, 76(1), 29. https://doi.org/10.1007/s12665-016-6327-5
DOI: 10.4211/hs.cab076f232da45728e30f5759ff0f2e5
title: CONUS floodplain areas

description: This ArcGIS pro file geodatabase contains feature polygons for the continental United States agreement area floodplain, disconnected floodplain, and artificially flooded areas.
DOI: 10.4211/hs.99b6f970a56740be9b7d6204aeca0553
title: Water stable isotopes database in Central Honduras

description: The inter-mountainous region of central Honduras has been experiencing abrupt urban water shortages during the last decade. Land use fragmentation to increase pasture, crop, and peri-urban areas has rapidly reduced surface water quantity and quality. Here we present a 3-yr (2018-2020) water stable isotopes database within the headwaters of the Choluteca River basin (2,949 km2). We sampled rainfall (weekly N=156; daily N=270), drilled wells (N=166; up to 300 m depth), boreholes (N =70; 4-12 m depth), and springs (N=128) to assess the spatio-temporal connectivity between rainfall and groundwater recharge elevations (MREs).
DOI: 10.4211/hs.f3a2cbfaa5694dadab26ea3e42a21a2f
title: Updated Sixth Water/Diamond Fork data repository

description: Datasets generated during and after Jabari Jones' Master's thesis at Utah  State University, focused on channel change of Sixth Water Creek and Diamond Fork River, Utah, USA (Jones, J.C.,  2018. Historical channel change caused by a century of flow alteration on Sixth Water Creek and Diamond Fork River, UT. Master's thesis, Utah State University). This resource includes data collected in the field as well as data generated in GIS. Field data include cross-section surveys, RTK GPS surveys, sediment transport measurements, bed grain size analysis, and unmanned aerial vehicle (drone) photography. GIS data include shapefiles generated from aerial imagery, digital elevation models, and data generated to evaluate incision of the Sixth Water valley. Data were collected and generated between July 2016 and November 2021  All data, metadata and related materials meet the quality standards relative to the purpose for which they were collected and generated. 

Data added to this updated resource include channel width measurements from 2018 aerial photographs, regional width analysis from 2018 aerial photographs, and an analysis of incision in the Sixth Water and Upper Diamond Fork valleys.
DOI: 10.4211/hs.fae24734d6fc47be8bf0b54d6a175d86
title: Hurricane Harvey flood inundation simulation

description: The datasets are published in the following papers:
Zhi Li, Mengye Chen, Shang Gao, Xiangyu Luo, Jonathan J. Gourley, Pierre Kirstetter, Tiantian Yang, Randall Kolar, Amy McGovern, Yixin Wen, Bo Rao, Teshome Yami, Yang Hong, CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction, Environmental Modelling & Software, Volume 141, 2021, 105051, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2021.105051

And 

Chen, Mengye, Zhi Li, Shang Gao, Xiangyu Luo, Oliver E. J. Wing, Xinyi Shen, Jonathan J. Gourley, Randall L. Kolar, and Yang Hong. " A Comprehensive Flood Inundation Mapping for Hurricane Harvey Using an Integrated Hydrological and Hydraulic Model", Journal of Hydrometeorology 22, 7 (2021): 1713-1726, accessed Dec 29, 2021, https://doi.org/10.1175/JHM-D-20-0218.1

The CREST-iMAP simulation of Hurricane Harvey covers a portion of Metro Houston (10m resolution) and its adjacent Spring Basin (100m resolution). To note: the datasets are converted to GeoTIFF from their original model output format.
DOI: 10.4211/hs.3fc8e01960d948a2bd38189dd4e7fa69
title: Data for "Impact of inter-utility agreements on cooperative regional water infrastructure investment and management pathways"

description: Compressed data and model files to accompany the Water Resources Research manuscript "Impact of inter-utility agreements on cooperative regional water infrastructure investment and management pathways." Some .tar files included with endings "partX" will need to be concatenated to open using Linux command 'cat'. Accompanying model code can be accessed at https://github.com/bernardoct/WaterPaths/tree/JLWTPAgreementsModel
DOI: 10.4211/hs.8f900f5c89ec4e5ebbbafbc1eb194a2b
title: Ashe County Fen Data 1/1/2019-8/21/2021

description: This data was collected to shed light on future impacts to fen thermal refugia by establishing a baseline understanding of shallow soil temperature variance within a small (<1 ha) mountain fen, and then addressing which environmental factors have the largest influence on these shallow soil temperatures. We examine these aims using in situ soil temperature, air temperature, hydrologic, and vegetation data collected from 2019-2021 across a small mountain fen located in the Southern Appalachian Mountains of North Carolina, USA. This fen is protected by the Nature Conservancy so its exact location cannot be disclosed.
DOI: 10.4211/hs.fb4e7b8758d0478cbfe0d6c786f0f968
title: PNW_SDAM Final data

description: Hydrological, biological, and geomorphological dataset collected from the Pacific Northwest (PNW = Oregon, Idaho, and Washington) used to develop the Oregon (OR) Streamflow Duration Assessment Method (SDAM) and the PN SDAM. SDAMs are rapid, reach-scale indices or models that use physical and/or biological indicators to predict flow duration class. Three flow duration classes are used in the OR and PNW SDAMs: perennial, intermittent, and ephemeral. Perennial reaches have continuous surface flow and do not experience drying outside of extreme drought. Intermittent reaches have continuous surface flow for part of the year that is sustained by snowmelt and/or groundwater. Ephemeral reaches have surface flow only during and immediately following precipitation or snowmelt
DOI: 10.4211/hs.d2a724a994b34fa3880ca21562912788
title: Krypton-81 dating constrains timing of deep groundwater flow activation

description: Krypton-81 dating provides new insights into the timing, mechanisms, and extent of meteoric flushing versus retention of saline fluids in the subsurface in response to changes in geologic and/or climatic forcings over 50 ka to 1.2 Ma year timescales. Remnant Paleozoic seawater-derived brines associated with evaporites in the Paradox Basin, Colorado Plateau, are beyond the 81Kr dating range (>1.2 Ma) and have likely been preserved due to negative fluid buoyancy and low permeability. 81Kr dating of formation waters above the evaporites indicates topographically-driven meteoric recharge and salt dissolution since the Late Pleistocene (0.03-0.8 Ma). Formation waters below the evaporites (up to 3 km depth), in basal aquifers, contain relatively young meteoric water components (0.4-1.1 Ma based on 81Kr) that partially flushed remnant brines and dissolved evaporites. We demonstrate that recent, rapid denudation of the Colorado Plateau (<4-10 Ma) activated deep, basinal-scale flow systems as recorded in 81Kr groundwater age distributions.