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39 results for “hydrological processes”
Data for 'Using 40 years of spot measurements to assess stream temperature response and recovery for different harvesting systems in northern hardwood forests' by Jason Leach, Danielle Hudson and R. Dan Moore. Submitted to Hydrological Processes.
<p>This dataset contains spot stream temperature measurements taken at 5 headwater streams draining forested hillslopes (C31, C32, C33, C34, C35) in the Turkey Lakes Watershed, approximately 65 km northwest of Sault Ste. Marie, Ontario, Canada.</p>
Data to reproduce the results presented in Lake et al. 2022. Hydrological processes, https://doi.org/10.1002/hyp.14726 ("Using particle size distributions to fingerprint suspended sediment sources – evaluation at laboratory and catchment scales")
<p>This repository contains data on particle size distribution data obtained from the laboratory and field experiments as described in Lake et al., 2022. </p> <p>The data contains the input files as needed for the modelling:</p> <p>- In the excel files the particle size distribution data for the target SS</p> <p>- In the text file the particle size distribution data from the sources.</p> <p> </p> <p>Furthermore, the data contains the resulting output files.</p> <p> </p>
How hydrological connectivity regulates the plant recovery process in salt marshes
<p>1. Designing effective restoration strategies is a priority in recovering salt marsh plants. As a main driver underpinning the success of plant recovery process, hydrological connectivity can regulate life history process-based restoration strategies, but the relations are not clear.</p> <p>2. Plant recovering needs to go through a whole life history process, from seed to adult. Common restoration strategies are seed addition (SA) or seedling transplantation (ST), which start from seed germination and seedling growth stage. Besides these two strategies, another strategy starting from seed retention stage, microtopographic adjustment (MA), were designed to study the relationship with hydrological connectivity. And a framework was construct to assess a gradient of hydrological connectivity between marsh plain and sea and conducted several field experiments to test their relationships.</p> <p>3. The composite measurement of hydrological connectivity with five geomorphic variables can well represent the variation of environmental factors. Soil moisture, inundation frequency and sediment deposition were positive correlated, while soil salinity and hardness were negative correlated with hydrological connectivity.</p> <p>4. The success of different restoration strategies varied with hydrological connectivity. MA showed a monotone decreasing trend, while SA and ST showed unimodal trend with the increasing of hydrological connectivity. The important is, each strategy occupies a non-overlapping optimum range along hydrological connectivity gradient, they are low hydrological connectivity for MA (0 – 0.28), middle hydrological connectivity for SA (0.28 – 0.55) and high hydrological connectivity for ST (0.55 – 1).</p> <p>5. Synthesis and applications. Our findings expand the quantification of the hydrological environment beyond elevation or distance or other single index to include a range of elements of hydrological connectivity, and illustrate the underlying mechanisms of hydrological connectivity regulating restoration strategies based on different life stages. The results not only provide a reliable framework to assess hydrological connectivity, but also the guidance to select optimum restoration strategy under different hydrological connectivities, or to regulate the hydrological connectivity variables (topography on marsh plain and morphology of tidal creeks) to relief stresses. These findings will benefit ecological restoration and coastal management a lot.</p>
How hydrological connectivity regulates the plant recovery process in salt marshes
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Enhancing understanding of the hydrological cycle via pairing of process‐oriented and isotope ratio tracers
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Data from: The variation of grain size distribution in rock granular material in seepage process considering the mechanical-hydrological-chemical coupling effect: An experimental research
<p>As a common solid waste in geotechnical engineering, rock granular material should be properly treated and recycled. Rock granular material often coexists with water when it is used as the filling material in geotechnical engineering. Water flowing in rock granular materials is a complex progress with the mechanical-hydrological-chemical (MHC) coupling effect, i. e. the water scours in the gaps and spaces in the rock granular material structure, produces chemical reactions with rock grains, rock grains squeeze each other under the water pressure and compression leading re-breakage and producing secondary rock grains, the fine rock grains are migrated with water and rushed out. In this process, rock grain size distribution (GSD) changes, it affects the physical and mechanical characteristics of the rock granular materials, and even influences the seepage stability of the rock granular materials. To study the variation of GSD in the rock granular material considering the MHC coupling effect after the seepage process, seepage experiments of rock grain samples are carried out and analyzed in this paper. The result is expected to have a positive impact on further studies of the properties of the rock granular material.</p>
Decoding the Interactions Between Hydrological Processes and Nitrogen Cycling in Bohemian Mountainous Watersheds (Slavkov Forest)
<h1><strong>DATASET <br>Decoding the Interactions Between Hydrological Processes and Nitrogen Cycling in Bohemian Mountainous Watersheds (Slavkov Forest) </strong></h1> <p>F. Buzek<sup>1</sup>, B. Cejkova<sup>1</sup>, I. Jackova<sup>1</sup>, P. Kram<sup>1</sup>, F. Oulehle<sup>1</sup>, O. Myska<sup>1</sup>, F. Veselovsky<sup>1</sup>, J. Curik<sup>1</sup> and D.A. Petrash<sup>1</sup></p> <p>This dataset contains modeling parameters and model results on the influences of hydrological factors on nitrogen (N) mineralization and denitrification processes in three adjacent mountain catchments located in the Slavkov Forest, western Czech Republic, from 2016 to 2020</p>
From glacial refugia to hydrological microrefugia: factors and processes driving the persistence of the climate relict tree Zelkova sicula
<p>With only two tiny populations, the climate relict <i>Zelkova sicula</i> (Sicily, Italy) is one of the rarest trees in the world. It also represents the most marginal member of genus <i>Zelkova</i> that was widespread in the broadleaved forests thriving in warm-temperate climates throughout Eurasia until the Last Glacial Age. Occurring at the westernmost range of the genus under typical Mediterranean climate, the micro-topographic settings have always appeared crucial for the survival of this Sicilian relict. However, the factors and processes actually involved in its persistence in the current refugia, as well as the response of similar relict trees in arid environments are poorly understood worldwide. In the aim to elucidate these aspects, in the two sites hosting <i>Z. sicula</i> analyses of topographical attributes were combined with investigations on soil moisture dynamics. Additionally, plants' growth and spatial distribution patterns were analysed to detect fine-scale differences between populations and assess the possible ecological amplitude of the species.</p> <p>Results revealed that convergent topographies are basic determinants of microrefugia in arid environments. Within the investigated sites, underground moisture never decreases below 25%, buffering seasonal rainfall fluctuations. Therefore, hydrological microrefugia play a key-role in decoupling from regional climate, supporting the target species in coping with an unsuitable climatic envelope. Additionally, the inter-population variability of biometric attributes showed that individual growth is site-dependent and the species retains a relative ecological plasticity, whereas the strongly clumped spatial patterns confirmed the exclusive vegetative propagation and the common clonal growth. On one hand, deeply incised landforms have acted as effective hydrologic microrefugia, on the other clonality coupled with triploidy supposedly improved the resistance of <i>Z. sicula</i> to harsh environments, though entailing inability to reproduce sexually. Most likely, sterility and environmental/physical barriers prevent since millennia this relict from leaving the last suitable microrefugia, resulting in the two current rear-edge populations.</p>
Dataset used for paper "Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models"
<p>No description provided.</p>
Processed data for the manuscript: Promoting Multi-Task Learning as a General Approach for Deep-Learning-based Hydrological Models
<div> <div>Below is a brief overview of the processed data in this repository:</div> <br> <div>- camels_streamflow: This directory contains streamflow data for CAMELS basins covering the period from January 1, 2015, to December 31, 2021. We have not included the original CAMELS dataset, which contains attributes, meteorological forcing, and streamflow data from January 1, 1980, to December 31, 2014, as it can be easily downloaded from the CAMELS website (https://gdex.ucar.edu/dataset/camels.html) and is too large for us to upload to Zenodo.</div> <div>- modiset4camels: This directory includes multiple versions of basin-mean Evapotranspiration (ET) data retrieved from the MOD16A2 data product. The dataset spans from January 1, 2001, to December 31, 2021, with an 8-day temporal resolution.</div> <div>- nldas4camels: This directory contains basin-mean daily meteorological forcing data from the NLDAS-2 dataset, obtained via Google Earth Engine (GEE). The dataset covers the period from January 1, 2001, to December 31, 2021.</div> <div>- smap4camels: This directory features basin-mean Soil Moisture (SSM) data from the NASA-USDA Enhanced SMAP Global Soil Moisture dataset, covering the period from April 2, 2015, to October 3, 2021. The dataset provides SSM measurements at a 5 cm depth. Additionally, we provide basin-mean daily SMAP L4 data spanning from April 1, 2015, to December 31, 2023.</div> </div>
Supporting data for "Quantifying process connectivity with transfer entropy in hydrologic models" [Paper #2018WR024555]
<p>This tarball contains the processed datasets used for the analysis of the process networks. It also contains the shapefiles used to define the domains of each sub-region.</p>
Pulse, Shunt and Storage: Hydrological Contraction Shapes Processing and Export of Particulate Organic Matter in River Networks
<p>This repository hosts the code to run the analysis presented in </p> <p>"Pulse, Shunt and Storage: Hydrological Contraction Shapes Processing and Export of Particulate Organic Matter in River Networks" <br> by Catalan et al., Ecosystems, 2022.<br> DOI: https://doi.org/10.1007/s10021-022-00802-4</p> <p>The code has been tested on Matlab R2019b.</p> <p>Run the Main.m code to produce the results of Figure 3 and 4 of the paper.<br> Each simulation takes about 8 hours on a standard Desktop computer.</p>
Data from: The variation of grain size distribution in rock granular material in seepage process considering the mechanical-hydrological-chemical coupling effect: An experimental research
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From glacial refugia to hydrological microrefugia: factors and processes driving the persistence of the climate relict tree Zelkova sicula
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Quantifying interaction uncertainty between subwatersheds and base-flow partitions on hydrological processes
<p><strong>Data Availability Statement:</strong> The meteorological data ((S1 Data File) and hydrological data (S2 Data File) in the manuscript can be downloaded and publicly available to anyone.</p>
Data from: Integrated biomarker responses of the submerged macrophyte Vallisneria spiralis via hydrological processes from Lake Poyang, China
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Statistical analysis for biogeochemical processes in a sandy column with dynamic hydrologic regimes using spectral induced polarization (SIP) and self-potential (SP)
<p>Dataset for the manuscript: Non-invasive monitoring of nitrogen transformation processes at a dynamic capillary fringe using spectral induced polarization (SIP) and self-potential (SP).</p>
Response of hydrological processes to event- and annual-scale precipitation extremes in the critical zone of the hillside surface
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Supplementary Material for "Assessing the Impact of Groundwater Saturation Excess Runoff on Hydrologic Features and Processes in a Watershed Modeling Setting"
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.