cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4211/hs.5f6249260f5f4f3fa9818a97970886af
title: Impacts of climate change on the management of multiple uses of BLM land in the IMW

description: The United States Bureau of Land Management (BLM) is tasked with managing over 248 million acres (>1 million km2) of public lands for multiple, often conflicting, uses. Climate change will affect the sustainability of many of these land uses and could further increase conflicts between them. Although natural resource managers are concerned about climate change, many are unable to adequately incorporate climate change into their adaptation strategies or management plans. Due to institutional constraints and limited resources, natural resource managers are not always aware of and/or do not always employ the most current scientific knowledge. To help address these gaps, we first conducted a systematic review of peer-reviewed literature that discussed potential impacts of climate change on the multiple land uses the BLM manages in the Intermountain West (USA). Second, we further expanded these results with a synthesis of projected vegetation changes across the Intermountain West. Finally, we also conducted a content analysis of BLM Resource Management Plans in order to determine how climate change is explicitly addressed by BLM managers, and whether such plans reflect changes predicted by the scientific literature. We found that active resource use generally threatens intrinsic values such as conservation and ecosystem services on BLM land, and climate change is expected to exacerbate these threats in numerous ways. Additionally, our synthesis of vegetation modeling suggests substantial changes in vegetation due to climate change. However, BLM management plans rarely referred to climate change explicitly and did not reflect the results of the literature review or vegetation modeling. Our results suggest there is a disconnect between BLM land management and the best available science on climate change. We recommend that the BLM actively integrate the best available science into on-the-ground management plans and activities and that researchers studying the effects of climate change make a more robust effort to understand the practices and policies of public land management in order to communicate their findings effectively.

Included on this page are the data and code used to complete our analyses. Specifically, there is a PDF of code and instructions for extracting bibliometric data from Scopus bibtex files, an excel spreadsheet detailing articles that discuss land use and climate change, a Word file explaining this spreadsheet, a zip file of all BLM Resource Management Plans that we analyzed, the NVivo file of our plan analysis, and a folder of code and data used to analyze vegetation models.
DOI: 10.4211/hs.775a3bd3d8674bc38ceb160b902e5056
title: Geophysical measurements of CZO hillslopes and Expectation Maximization classification

description: Raw data is provides for electrical resistivity tomography (ERT) and seismic refraction geophysical measurements in original manufacturer formats. Lippmann 4PL was used for ERT measurement and Geometrics Geode was used for seismic measurement.  Picked travel time data (ttx) are included for seismic measurements. Elevation (measured by level-sight and dGPS) and spatial (measured by dGPS) data are included.  

Processed products include co-located seismic Vp velocities, ERT inverted log10 resistivities and the calculated hydro-facies classification based on the geophysical data using the Expectation Maximization algorithm.
DOI: 10.4211/hs.8e12debf926c4299acc782f9407512f5
title: SnowModel Soil Moisture Submodel (SoilBal)

description: The SoilBal model computes a soil water balance using SnowModel daily outputs of Runoff (Rain+Melt), SWE Depth, and Potential ET (Priestly-Taylor). In order to account for changes in soil moisture and ET, a gridded soil product with tracks the soil moisture status. Previous applications of SnowModel excluded calculation of ET because the simulations occurred during the winter season or in areas largely dominated by glaciers and ice sheets (Greenland) where ET fluxes are small. 

The significance of the ET flux in the Gulf of Alaska (GOA) basin motivated the following additions to the SnowModel model structure. First, we calculated potential evapotranspiration (PET) using the Priestley‐Taylor equation [Priestley and Taylor, 1972], which uses modeled daily air temperature and top‐of‐canopy net radiation (Rn). We used a Priestley‐Taylor coefficient (α) of 1.26, which is consistent with previous regional‐scale applications [Federer et al., 1996; Shuttleworth, 2007].The Rn calculation takes into account variations in surface albedo from different vegetation types. In the case where PET is negative (typically during winter when Rn is negative), PET was set to zero. Second, routines were added to solve a soil water balance [Hoogeveen et al., 2015] using SnowModel grid‐cell runoff and PET as hydrologic input, and gridded soil water storage at field capacity and wilting point. The root zone water storage was calculated as the water content of the soil at a given condition (e.g., field capacity, wilting point) multiplied by the rooting zone depth, and was used to determine the soil moisture conditions in the soil water balance. The vertical soil water balance follows closely that used in GlobWat – a global water balance model to assess water use in irrigated agriculture (Hoogeven et al., 2015). Actual ET is computed largely based on a ET–PET relationship for moisture limited conditions scaled using relative soil moisture (Dingman, 2002 and Spittlehouse and Black, 1981). The baseflow runoff is modeled as linear reservoir drainage out of the soil moisture store  (Liston et al., 1994). The spatial distribution of soil texture data were obtained from the gridded Harmonized World Soil Data set (HWSD; Version 1.2) [Fischer et al., 2008], available at 1 km resolution (globally)
http://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/harmonized-world-soil-database-v12/en/
For the different soils in the GOA, USDA soil texture classifications were used to estimate soil water content at field capacity (−0.03 MPa) and available water content using the tables in Saxton et al., (1986). These two processes together make up the submodel SoilBal. SoilBal produced daily grids of actual evapotranspiration (ET), surface, and base flow runoff. The resulting surplus runoff and base flow output were then used to drive the runoff simulations.
DOI: 10.4211/hs.00f984c69af54b4fbb59b2d937f5400b
title: Data for: Thermal effects on flow and salinity distribution in coastal confined aquifers

description: This data set contains experimental data and the data of annual variation range of seawater temperature along the global coastline related to the paper - Li Pu, Pei Xin, Thuy T. M. Nguyen, Xiayang Yu, Ling Li, D. A. Barry (2020). Thermal effects on flow and salinity distribution in coastal confined aquifers.
DOI: 10.4211/hs.0ce4aae4c5ba4606969d46d10389e0f5
title: Sensitivity of dryland vegetation patterns to storm characteristics

description: This resource contains code and simulation data that support the findings of the manuscript "Sensitivity of dryland vegetation patterns to storm characteristics", currently under review at GRL.  Please see the readme for further details.
DOI: 10.4211/hs.905985391b714911bd73ca2e7d58afdc
title: Time series dataset created on Thu Mar 05 2020 13:31:18 GMT+0500 (Pakistan Standard Time) by the CUAHSI HydroClient

description: Precipitation data collected from 1997-12-31T00:00:00 to 2019-11-14T00:00:00 created on Thu Mar 05 2020 13:31:18 GMT+0500 (Pakistan Standard Time) from the following site: X1005-Y337 of TRMM Multi-Satellite Precipitation Analysis (TMPA-RT). Data created by CUAHSI HydroClient: http://data.cuahsi.org/#.
DOI: 10.4211/hs.2a7eafc820954faba2db53836f24382e
title: Surface Water-Groundwater Exchange Dynamics in Buried-Valley Aquifer Systems

description: Groundwater is a primary source of drinking water worldwide, but excess nutrients and emerging contaminants could compromise groundwater quality and limit its usage as a drinking water source. As such contaminants become increasingly prevalent in the biosphere, a fundamental understanding of their fate and transport in groundwater systems is necessarily to implement successful remediation strategies. The dynamics of surface water-groundwater (hyporheic) exchange within a glacial, buried-valley aquifer systems are examined in the context of their implications for subsurface transport of nutrients and contaminants. High permeability facies act as preferential flow pathways which enhance nutrient and contaminant delivery, especially during storm events, but transport throughout the aquifer also depends on subsurface sedimentary architecture (e.g. interbedded high and low permeability facies). Sediment analyses reveal high stratigraphic heterogeneity, with cross-stratified open-framework gravel facies throughout the aquifer. Temperature and specific conductivity measurements indicate extensive hyporheic mixing near the river, but surface water influence was also observed far from the stream-aquifer interface. Measurements of river stage and hydraulic head indicate that significant flows during storms alter groundwater flow patterns, even between consecutive storm events, as riverbed conductivity and hydraulic connectivity between the river and aquifer change. Given the similar mass transport characteristics of buried-valley aquifers, these findings are likely representative of glacial aquifer systems worldwide. Our results suggest that water resources management decisions based on average (base) flow conditions may inaccurately represent the system being evaluated, and could reduce the effectiveness of remediation strategies for nutrients and emerging contaminants.
DOI: 10.4211/hs.b7515f219c7a40439c9c2b44183192c4
title: 10Be concentrations in stream sediment and inferred denudation rates in the Little River and Elk River basins, northern California Coast Ranges

description: This data set summarizes the collection and preparation of stream sediment samples for 10Be analysis in the Little River and Elk River basins in the northern California Coast Ranges. It reports the denudation rate estimates that were computed from the measured 10Be concentrations and the methods that were used in calculating these estimates.
DOI: 10.17026/ar/swjzz5
title: PAN-00059046 - mortarium type Vanvinckenroye 352-353

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00059046&lt;/p&gt;
description: Modified: 2025-10-21T11:12:24+02:00
DOI: 10.4211/hs.47d18cf0b1a74787b13d8dbffed0504f
title: Simms Creek and Santa Fe Drain Fertilization data

description: Grab sample nutrient data for Simms Creek and Santa Fe Drain 2013-2016, pre- and post-fertilization.  Results published in Forest Ecology and Management.
DOI: 10.4211/hs.f78b3ee3d7954ebeb4578874100c5272
title: Evaluation of ARM tethered-balloon system instrumentation for supercooled liquid water and distributed temperature sensing in mixed-phase Arctic clouds

description: A tethered-balloon system (TBS) has been developed and is being operated by Sandia National Laboratories (SNL) on behalf of the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) User Facility in order to collect in situ atmospheric measurements within mixed-phase Arctic clouds. Periodic tethered-balloon flights have been conducted since 2015 within restricted airspace at ARM’s Advanced Mobile Facility 3 (AMF3) in Oliktok Point, Alaska, as part of the AALCO (Aerial Assessment of Liquid in Clouds at Oliktok), ERASMUS (Evaluation of Routine  Atmospheric Sounding Measurements using Unmanned Systems), and POPEYE (Profiling at Oliktok Point to Enhance YOPP Experiments) field campaigns. The tethered-balloon system uses helium-filled 34 m3 helikites and 79 and 104 m3 aerostats to suspend instrumentation that is used to measure aerosol particle size distributions, temperature, horizontal wind, pressure, relative humidity, turbulence, and cloud particle properties and to calibrate ground-based remote sensing instruments. Supercooled liquid water content (SLWC) sondes using the vibrating-wire principle, developed by Anasphere Inc., were operated at Oliktok Point at multiple altitudes on the TBS within mixed-phase clouds for over 200 h. Sondecollected SLWC data were compared with liquid water content derived from a microwave radiometer, Ka-band ARM zenith radar, and ceilometer at the AMF3, as well as liquid water content derived from AMF3 radiosonde flights. The in situ data collected by the Anasphere sensors were also compared with data collected simultaneously by an alternative SLWC sensor developed at the University of Reading, UK; both vibrating-wire instruments were typically observed to shed their ice quickly upon exiting the cloud or reaching maximum ice loading. Temperature sensing measurements distributed with fiber optic tethered balloons were also compared with AMF3 radiosonde temperature measurements. Combined, the results indicate that TBSdistributed temperature sensing and supercooled liquid water measurements are in reasonably good agreement with remote sensing and radiosonde-based measurements of both properties. From these measurements and sensor evaluations, tethered-balloon flights are shown to offer an effective method of collecting data to inform and constrain numerical models, calibrate and validate remote sensing instruments, and characterize the flight environment of unmanned aircraft, circumventing the difficulties of in-cloud unmanned aircraft flights such as limited flight time and inflight icing.

Data collected with CTEMPs DTS available upon request from ctemps@unr.edu.
DOI: 10.4211/hs.823b573d602241a29fa3a781ca5f97d6
title: Lake bottom temperature in Crystal Springs Lake, Portland, Oregon

description: Deployment of DTS in bottom of small lake bed. Effort is geared towards finding underwater springs/seepage.

Data available by contacting ctemps@unr.edu in September 2021.
DOI: 10.4211/hs.82326ee6288241f3a85ed1d01a3083d0
title: MODIS snow persistence for Canada and Alaska 2001-2019

description: Snow persistence (SP) or the snow cover index (SCI), is the fraction of time that snow is present on the ground for a defined period. SP was calculated on a pixel by pixel basis using MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid, Collection 6 obtained from the National Snow and Ice Data Center (NSIDC). We computed the 1 January – 3 July SP for each year as the fraction of 8-day MODIS images with snow present. 

For more information on MODIS snow persistence please see:

-Hammond, J. C., Saavedra, F. A., & Kampf, S. K. (2018). Global snow zone maps and trends in snow persistence 2001–2016. International Journal of Climatology, 38(12), 4369-4383.
-Hammond, J. C., Saavedra, F. A., & Kampf, S. K. (2018). How does snow persistence relate to annual streamflow in mountain watersheds of the Western US with wet maritime and dry continental climates?. Water Resources Research, 54(4), 2605-2623.
-Hammond, J. C., F. A. Saavedra, S. K. Kampf (2017). MODIS MOD10A2 derived snow persistence and no data index for the western U.S., HydroShare, https://doi.org/10.4211/hs.1c62269aa802467688d25540caf2467e
DOI: 10.4211/hs.5a4314793a9c47c9b2988a824967d5a1
title: Lake Urmia Data Synthesis (1995-2015)

description: This resource contains dataset, figures, and Python codes used in the paper titled “Managing Lake Urmia, Iran for diverse restoration objectives: moving beyond a uniform target lake level ”, accepted for publication in Journal of Hydrology: Regional Studies.

Data and scripts are for lake salinity, Artemia and flamingo populations,  lake levels where islands connect to each other and the mainland, lakebed dust area, valuable ion concentrations, and recreational access measured as the distance from resort beaches to water deep enough to boat. Data derive from 40 years of experimental, field, satellite, and model data for the lake. We relate each metric to lake level.
Jian Wang from Utah State University ran all scripts and reproduced figures.

The resource is organized as:
- Data - Lake Urmia data used in the study from 1995 to 2015
- Figures -  Figures that appear in the manuscript.
- Graphical Abstract - Graphical abstract of the manuscript
- Python codes - Codes used to query data and generate figures
DOI: 10.4211/hs.4562c846daf7489186f480ae8deea7c8
title: Data from Johnston et al. (2017),  Electrical resistivity, electromagnetic, and geochemical data characterizing acid mine drainage in Lion Creek, Empire, Colorado, USA

description: This file includes the data published in: Johnston, A.J., Runkel, R.L., Navarre-Sitchler, A. and Singha, K. (2017). Exploration of diffuse and discrete sources of acid mine drainage to a headwater mountain stream in Colorado, USA. Mine Water and the Environment, doi:10.1007/s10230-017-0452-6, 16 p.

We investigated the impact of acid mine drainage (AMD) contamination from the Minnesota Mine, an inactive gold and silver mine, on Lion Creek, a headwater mountain stream near Empire, Colorado. The objective was to map the sources of AMD contamination, including discrete sources visible at the surface and diffuse inputs that were not readily apparent. This was achieved using geochemical sampling, in-stream and in-seep fluid electrical conductivity (EC) logging, and electrical resistivity imaging (ERI) of the subsurface. The low pH of the AMD-impacted water correlated to high fluid EC values that served as a target for the ERI. From ERI, we identified two likely sources of diffuse contamination entering the stream: (1) the subsurface extent of two seepage faces visible on the surface, and (2) rainfall runoff washing salts deposited on the streambank and in a tailings pile on the east bank of Lion Creek. Additionally, rainfall leaching through the tailings pile is a potential diffuse source of contamination if the subsurface beneath the tailings pile is hydraulically connected with the stream. In-stream fluid EC was lowest when stream discharge was highest in early summer and then increased throughout the summer as stream discharge decreased, indicating that the concentration of dissolved solids in the stream is largely controlled by mixing of groundwater and snowmelt. Total dissolved solids (TDS) load is greatest in early summer and displays a large diel signal. Identification of diffuse sources and variability in TDS load through time should allow for more targeted remediation options.
DOI: 10.4211/hs.b962178e6b8c4148bc601f88cd7103b2
title: changsha road

description: it contains the roads data of changsha,hunan province
DOI: 10.4211/hs.511249282dc842e8b223e4355f3ed68d
title: Medicane data from ERA-5

description: This data set includes tropical cyclone-like storm systems - medicanes tracked from ERA5 reanalysis data during 1979-2016. This data set has been used for a manuscript entitled "Examining the Precipitation Associated with Medicanes in the High-Resolution ERA-5 Reanalysis Data" which is under review.
DOI: 10.4211/hs.384c9df02fab4051a21db7e4f210eb36
title: Analyses through the Metastatistical Extreme Value distribution identify contributions of Tropical Cyclones to rainfall extremes in the Eastern US

description: Tropical Cyclones (TCs) generate extreme precipitation with severe impacts across large coastal and inland areas, calling for accurate frequency estimation methods. Statistical approaches that take into account the physical mechanisms responsible for these extremes can help reducing the estimation uncertainty. Here we formulate a mixed-population Metastatistical Extreme Value Distribution explicitly incorporating non-TC and TC-induced rainfall and evaluate its implications on long series of daily rainfall for six major U.S. urban areas impacted by these storms. We find statistically significant differences between the distributions of TCand non-TC-related precipitation; moreover, including mixtures of distributions improves the estimation of the probability of extreme precipitation where TCs occur more frequently. These improvements are greater when rainfall aggregated over duration longer than one day are considered.
DOI: 10.4211/hs.165ab89135604084b77ea24fb5bd2bf0
title: SUMMA 2.0.0 Sopron version (lubuntu-16.04.4)

description: SUMMA (Clark et al., 2015a;b;c) is a hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques. It can be used to configure a wide range of hydrological model alternatives and we anticipate that systematic model analysis will help researchers and practitioners understand reasons for inter-model differences in model behavior. When applied across a large sample of catchments, SUMMA may provide insights in the dominance of different physical processes and regional variability in the suitability of different modeling approaches. An important application of SUMMA is selecting specific physics options to reproduce the behavior of existing models – these applications of "model mimicry" can be used to define reference (benchmark) cases in structured model comparison experiments, and can help diagnose weaknesses of individual models in different hydroclimatic regimes.

SUMMA is built on a common set of conservation equations and a common numerical solver, which together constitute the “structural core” of the model. Different modeling approaches can then be implemented within the structural core, enabling a controlled and systematic analysis of alternative modeling options, and providing insight for future model development.

The important modeling features are:

The formulation of the conservation model equations is cleanly separated from their numerical solution;

Different model representations of physical processes (in particular, different flux parameterizations) can be used within a common set of conservation equations; and

The physical processes can be organized in different spatial configurations, including model elements of different shape and connectivity (e.g., nested multi-scale grids and HRUs).

This version updated for the sopron workshop in Hungary(15~18 April, 2018)
DOI: 10.4211/hs.1c95059edcf041a0959e0b4a1f05478c
title: California Saline Groundwater Wedge Footprint Model Results

description: Supplementary dataset of shapefiles of the saline groundwater wedge footprint for the twelve model scenarios for twelve sea levels outlined in: Befus, K.M., Barnard, P.L., Hoover, D.J., Finzi Hart, J.A., and Voss, C.I. (2020), Increasing threat of coastal groundwater hazards from sea-level rise in California, Nature Climate Change, https://doi.org/10.1038/s41558-020-0874-1.
DOI: 10.4211/hs.440e347678af414ba305f3d14a0efa9b
title: Coastal flow topology

description: Simulation of density-dependent, variably saturated flow and salt transport incorporating realistic representations of aquifer heterogeneity was conducted within a Monto Carlo framework to investigate intertidal flow topology and salt dynamics. Our results show that heterogeneity coupled with tides creates transient preferential flow paths within the intertidal zone, evolving fingering-type upper saline plumes beneath the beach surface. Compared to homogeneous systems, multiple circulation cells are generated in the intertidal zone with relatively larger spatial extent, creating hotspots of groundwater velocity at depth in the aquifer. Due to the heterogeneity, strain-dominated and vorticity-dominated flow regions coexist at small spatial scales, which alters the flow topology and local-scale mixing. The areal extent of the flow deformation reaches peaks at high tide and low tide, attributed to tidal action for the former and aquifer heterogeneity for the latter. Results suggest aquifer heterogeneity complicates intertidal flow topology, potentially altering pore-scale mixing and nearshore biogeochemical cycles.
DOI: 10.4211/hs.ba37b4dfd51649b0b00f7a0dc331eef4
title: provo_neighborhoods

description: A map of the neighborhoods in Provo, UT.