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1,993 results for “drainage”
Cold air drainage transect studies at the Andrews Experimental Forest, 2002 to Present
Temperature data are being collected to investigate the effects of elevation and local topographic position on the patterns of cold air drainage and pooling in the HJ Andrews Forest, and how they vary with synoptic weather patterns. The main focus of the study is cold air drainage in the Lookout Creek area, but others sites have been added to sample temperature signatures at other locations of the forest with topographic positions that need to be better understood. Here, quality controlled 15-minute raw data and aggregated daily minimum and maximum temperatures are available from several stations along 4 separate transects or clusters with some additional single sensors also included. Several of the quality flags indicate that the data failed the test and should not be used in analysis.
Model simulated hydrological estimates for the North Slope drainage basin, Alaska, 1980-2010
Estimates of runoff, river discharge, snow water equivalent (SWE), subsurface runoff, and soil temperatures are drawn from the Permafrost Water Balance Model (PWBM). The simulation and derived data span the period 1980-2010. The model was forced with daily gridded meteorological data obtained from the Modern-Era Retrospective analysis for Research and Applications (MERRA) reanalysis (version 5.2.0). The estimates of total runoff (daily), soil temperature (daily), subsurface runoff (monthly), and SWE (monthly) are expressed on a spatial grid (N=312; 25x25 km EASE-Grid version 1, Northern Hemisphere) over the North Slope drainage basin, with the coastline extending from Utqiagvik (formerly Barrow) to just west of the Mackenzie River delta. River discharge, calculated as a volume flux of runoff at each grid cell, was routed through the river network defined on a simulated topological network (STN). Archived files contain discharge flux through the grid cell representing the outlet of each of forty-two basins defined across the region on the 25 km resolution EASE-Grid. Details of the PWBM, forcing variables, model validation and results of analysis are described in Rawlins et al. (2019).
Drainage reorganisation and species evolution: model sensitivity analysis data
<p>Data description:</p> <ul> <li><strong>‘trial_factor_values.csv’:</strong> The factor values for experiment trials were generated using a quasi-random Sobol sequence (Sobol, 1967). The table field, ‘initial_landscape_id’ is the identifier for unique combinations of the following factor values that controlled the landscape elevation in the initial conditions phase of the model: initial elevation seed, <span class="math-tex">\(U\)</span>, <span class="math-tex">\(K\)</span>, and <span class="math-tex">\(k_d\)</span>. The factors, <span class="math-tex">\(U\)</span>, <span class="math-tex">\(K\)</span>, <span class="math-tex">\(k_d\)</span>, <span class="math-tex">\(P_m\)</span>, and allopatric wait time varied logarithmically. The values of these factors in the file are the exponent of base 10.</li> <li><strong>‘trial_response_values_initial_conditions_phase.csv’:</strong> Topographic relief at steady state along with the model time to initial steady state are the trial model responses included in the file. Values are listed for each initial landscape ID rather than trial because many trials had the same combinations of the factors that controlled the topography of the initial landscape. </li> <li><strong>‘trial_response_values_perturb_phase_base_level_fall_scenario.csv’ and ‘trial_response_values_perturb_phase_fault_throw_scenario.csv’:</strong> Model responses of the perturb phase for base level fall and fault throw scenario along with the initial landscape ID, species count values, and the model time back to steady state.</li> <li><strong>The files beginning with `sobol`</strong>: the sensitivity analysis results output by the software, ‘SALib’ (Herman and Usher, 2017). ‘S1’, ‘S2’, and ‘ST’ in the file name indicates if the file contains data of the Sobol first, second, or total order effect, respectively.</li> </ul>
Peat characteristics, microbial PLFA, and fungal and actinobacterial sequences from Lakkasuo peatland drainage experiment, year 2004
<p>We analysed the response of microbial communities, characterized by phospholipid fatty acids (PLFAs), and fungal and actinobacterial communities, characterized by PCR-DGGE fingerprinting and direct sequencing, to changing hydrological conditions at three different sites in the boreal peatland complex Lakkasuo in southern Finland. Additionally, several peat characteristics were measured. The experimental design involved undrained controls as well as short-term (3 years) and long-term (43 years) water-level drawdown. The sites were, in their undrained state, a herb-rich sedge fen, a sedge fen, and a bog with hummock-lawn-hollow microtopography.</p> <p>Codes are explained in the Notes sheets of the Excel files. The contents of the csv files are identical to the corresponding Excel file data sheets.</p> <p>Please check the decimal separator! Comma is used in Finland, and that may have been carried over. All commas in data columns are decimal separators.</p>
Fish tag data remotely detected using whole stream antennas or hand held tag readers in the Kuparuk, Itkilik, and Sagavanirktok drainages near Toolik Field Station, Alaska, from 2010 to 2017
From 2009 to 2017, the FISHSCAPE Project (grant numbers 1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes); and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River). Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured. This file contains the detectioned fish tags using whole stream or hand-held antennas in the three watersheds. We had no field season in 2014 and thus did not deploy antennaes. Fish were tagged with Passive Integrated Transponder (PIT) tags which can be read with a whole stream antenna to track the migration of the fish, predominately Arctic grayling, throughout the systems. Fish tags detected with a handheld readers are designated in Site ID as "XXX_capture". For "capture" fish time is arbitraily set at '7:00:00'' of the day of capture and tagging because actual time was not recorded. The individual fish data (date, tag number, length, weight, species) associated with the tag can be found in the 2009-2017_FISHSCAPE_fish_tagging file.
Drainage basins and shelf sea areas in the Arctic
<p>Arctic shelf seas within the Arctic Ocean and surrounding the Arctic Ocean were combined from Jakobsson (2002) and IHO (1953) to account for the whole marine area of the Arctic Ocean according to the IHO definition that receives terrestrial riverine drainage. The seaward border of the shelf is defined as the break in topograhy (bathymetry) of the seafloor according to Jakobsson (2002).</p> <p>Terrestrial drainage basins from the pan-Arctic catchment database (ARCADE; Speetjens et al., 2023) were matched with the Arctic shelf seas, where both datasets meet at the coast. Terrestrial drainage basins were aligned with the boundaries of the Arctic shelf seas to define broader regions, always with a pair of shelf sea and terrestrial catchment.</p> <p> </p> <p>References:</p> <p>International Hydrographic Organization (IHO)(1953). Limits of oceans and seas. 3rd edition. IHO Special Publication 23, Monaco, 38 pp. https://www.marineregions.org/gazetteer.php?p=details&id=1904.</p> <p>Jakobsson, M. (2002). Hypsometry and volume of the Arctic Ocean and its constituent seas. Geochemistry, Geophysics, Geosystems 3, 1-18, doi:https://doi.org/10.1029/2001GC000302.</p> <p>Speetjens, N. J., Hugelius, G., Gumbricht, T., Lantuit, H., Berghuijs, W. R., Pika, P. A., Poste, A., and Vonk, J. E. (2023). The pan-Arctic catchment database (ARCADE), Earth Syst. Sci. Data 15, 541–554, https://doi.org/10.5194/essd-15-541-2023.</p>
Live cribwall + slope grating + fascines drainage system - soil-water dynamics
<p>Dataset containing raw time series (August 2022) for soil-water dynamics -i.e., volumetric soil moisture, matric suction, soil-pore water pressure, and soil temperature - retrieved from a live, vegetated cribwall+slope grating+fascines drainage system built in Catterline, Scotland. NBS intervention built to restore a landslide taking place in February 2021. </p>
GeoDAR-TopoCat: Drainage topology and catchment database (TopoCat) for Georeferenced global Dams And Reservoirs (GeoDAR)
<p><strong>Contact</strong>: Md Safat Sikder (msikder@ksu.edu), Jida Wang (jidawang@ksu.edu; gdbruins@ucla.edu)</p> <p> </p> <p><strong>Data description</strong></p> <p>This data can be considered a supplement to the Georeferenced global Dams And Reservoirs (GeoDAR) dataset (doi:10.5281/zenodo.6163413). </p> <p>Here in GeoDAR-TopoCat, the method of TopoCat (doi:10.5281/zenodo.7420810) has been applied on GeoDAR reservoirs in order to construct the drainage topology and catchments for global reservoirs.</p> <p>To avoid ambiguity, please refer to this version of GeoDAR-TopoCat as “<strong>GeoDAR-TopoCat v1.1-1.0</strong>”, where “1.1” specifies the version of GeoDAR reservoirs, whose drainage topology and catchments are constructed using the method in version “1.0” of TopoCat.</p> <p> </p> <p><strong>Relevant datasets</strong></p> <ul> <li>The original GeoDAR v1.1 dataset without topology can be accessed here: doi:10.5281/zenodo.6163413.</li> <li>The TopoCat v1.0 dataset, originally developed based on HydroLAKES v1.0, can be accessed here: doi:10.5281/zenodo.7420810.</li> </ul> <p> </p> <p><strong>Attribute description</strong></p> <p>Description of the attributes of GeoDAR-TopoCat is the same as those of TopoCat v1.0. The unique ID of each GeoDAR reservoir is specified in “id_v11” (consistent with the GeoDAR dataset). Please refer to the attributes of TopoCat and GeoDAR for more details.</p> <p> </p> <p><strong>Data and code availability</strong></p> <p>All datasets are available under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license (<a href="https://creativecommons.org/licenses/by/4.0">https://creativecommons.org/licenses/by/4.0</a>).</p> <p>Please refer to GeoDAR and TopoCat datasets for other details and disclaimers.</p> <p> </p> <p><strong>Citation</strong></p> <p>We request anyone who uses GeoDAR-TopoCat to cite <strong>both GeoDAR and TopoCat papers</strong>:</p> <p>Wang, J., Walter, B. A., Yao, F., Song, C., Ding, M., Maroof, A. S., Zhu, J., Fan, C., McAlister, J. M., Sikder, M. S., Sheng, Y., Allen, G. H., Crétaux, J.-F., and Wada, Y.: GeoDAR: georeferenced global dams and reservoirs database for bridging attributes and geolocations. Earth System Science Data, 14, 1869-1899, 2022, <a href="https://doi.org/10.5194/essd-14-1869-2022">https://doi.org/10.5194/essd-14-1869-2022</a>.</p> <p>Sikder, M. S., Wang, J., Allen, G. H., Sheng, Y., Yamazaki, D., Song, C., Ding, M., Crétaux, J.-F., and Pavelsky, T. M., 2023. Lake-TopoCat: A global lake drainage topology and catchment dataset. Earth System Science Data Discussion, in review, <a href="https://doi.org/10.5194/essd-2022-433">https://doi.org/10.5194/essd-2022-433</a>.</p>
PBG11 Stream water chemistry for the Shane Creek drainage basin in the Patch-Burn Grazing experiment at Konza Prairie
PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on measuring Nitrate, ammonium, total N, soluble reactive P, total P, and dissolved organic C in four streams draining watersheds with 1 (N01B), 2 (N02B), 4 (N04D), and 20 (N20B) year target burn frequencies.
NWC01 Stream water chemistry for the king's creek drainage basin on Konza Prarie
Nitrate, ammonium, total N, soluble reactive P, total P, and dissolved organic C are monitored in four streams draining watersheds with 1 (N01B), 2 (N02B), 4 (N04D), and 20 (N20B) year target burn frequencies. Bison have grazed these treatments since May 1992. The number of sites sampled has been expanded since 1992 to include sites that may reflect anthropogenic, groundwater, and bison influences on water chemistry. These sites include the south branch of Kings Creek as it leaves watershed N01A (tube), a site immediately below the NO4D weir at Konza Falls that is heavily influenced by groundwater (kzfl), the north fork of Kings Creek draining watersheds without bison (nfkc), the south fork of Kings Creek that drains the watersheds with bison (sfkc), Kings Creek below the USGS gauging station above the first agricultural field (hokn), a small creek that drains into Kings Creek after flowing past the bison handling facilities, two private residences, the site headquarters and an agricultural field (stck), a pristine prairie groundwater site (edlr), and Kings Creek at the bottom of Konza as it leaves the agricultural land in watershed AL (hikx). Early samples were preserved with phenyl mercuric acetate. Future plans to restore agricultural land to prairie may influence downstream nutrient concentrations.
NWC02 Stream water conductivity for the king's creek drainage basin on Konza Prarie
Conductivity was monitored in four streams draining watersheds with 1 (N01B), 2 (N02B), 4 (N04D), and 20 (N20B) year target burn frequencies. Bison grazed these treatments since May 1992. Early samples were preserved with phenyl mercuric acetate.
Geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna, Italy.
<p>This dataset contains all raw geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna. The dataset is divided in three separated excel worksheets: </p> <p>- <strong>Focus Area</strong>. Sediment composition of the 21 sediment samples collected in 2022 in the Focus Area. Refer to Figs. 1 and 2 in the manuscript Giambastiani et al., 2024 for the sample locations. Listed are also other information related to sampling, such as depositional facies (BR: beach ridge deposits; IF: Interfluvial floodplain deposits), distance from the sea, altimetry, amount of fertilizer applied based on the land use, and EC of drainage water. <br>The sediment samples were collected in March 2022 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by the authors.</p> <p>- <strong>LRC, Land Reclamation Consortium</strong>. PTEs composition of the sediment samples of the Land Reclamation Consortium dataset. Refer to Fig. 1 and 2 in the manuscript Giambastiani et al., 2024 for the location. Listed are also other information related to sampling, such as distance from the sea, altimetry, and amount of fertilizer applied based on the land use. <br>The sediment samples were collected since 2010 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by The Land Reclamation Consortium of Romagna (Italy). No other uses apart from scientific purpose is allowed without notice to the authors.</p> <p>- <strong>Wells</strong>. Physical and chemical groundwater parameters of 4 wells localted within the Focus Area. Refer to Fig.2 in the manuscript Giambastiani et al., 2024 for the location. <br>Data were collected during previous studies by Greggio et al. (2020) and reprocessed to obtain vertical profiles of EC, pH, Eh, and chemical concentrations along the coastal aquifer depth.</p> <p>More informations regarding the source, ownership, collection methodologies and analytical techniques are in Giambastiani et al., 2024.</p>
Flow direction grid at 1 kilometer resolution for North Slope drainage basins, Alaska
We derived and evaluated a 1 kilometer spatial resolution flow direction grid for the terrestrial drainage of the North Slope of Alaska. The region is resolved by 182,722 grid cells and the associated connectivity. It is bounded by the Brooks Range and Beaufort Sea coast, and extends from the northern Chukchi Sea coast eastward to the small rivers near 140 degrees West. The dataset is provided in raster and tabular format, with the latter including coordinates, river basin identifier, and downstream reach and direction for each grid cell in the region. Over three dozen river basins are identified by name in an associated lookup table. This new mapping resolves the terrestrial drainages for rivers exporting freshwater, nutrients, and other materials to Elson, Simpson, Jago, Kaktovik, and other coastal lagoons at a resolution that captures important processes linked to surface and subsurface hydrological flows. Our analysis suggests that the mapping exhibits notable similarity in basin area boundaries relative to the benchmark USGS National Hydrography Dataset.
Coweeta Synoptic Data from 49 sampling sites in the Upper Little Tennessee River Basin from 2009 to 2010 (drainage area, slope, particle size data)
This data was generated as part of synoptic sampling conducted at the Coweeta LTER between June 2009 and May 2010. 49 wadeable streams with low levels of development were sampled throughout the Upper Little Tennessee River Basin in the Southern Appalachians. This dataset contains the location code (visually categorized basin landcover), drainage area, slope, riparian code (visually categorized riparian conditions), percent fines (<2mm), and median particle size (D50) calculated from a Wolman pebble count. The purpose of this study was to investigate the effects of riparian vegetative conditions on a suite of channel morphological variables. At each site, a uniform 150 meter section of stream was surveyed. Within each reach, the active and bankfull channel widths were measured every 5 meters, where active channel width was defined as the vegetationless channel bed from left vegetation break to right vegetation break. All wood exceeding 10 cm diameter and 1.0 m length were tallied. A Wolman pebble count (N = 100) was conducted on the coarsest riffle in each stream reach. Slopes were measured from the upstream end of riffles over three riffle-to-riffle sequences with a level rod and tape. Riparian conditions at each reach were visually categorized. Drainage area was determined from 2006 Landsat imagery. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
Year 2001, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH on the Ipswich R. mainstem at North Reading, just upstream of Rt. 28 (~48 km2 drainage area).
Year 2001, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (June – December). Discharge is determined from stage using discharge vs stage regressions. Several day gaps occur periodically due to removal for recalibration.
Year 2002, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH on the Ipswich R. mainstem at North Reading, just upstream of Rt. 28 (~48 km2 drainage area).
Year 2002, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use watershed. Measurements are for the ice free season (March – December). No Discharge was determined because beaver activity prevented rating curve estimate. Several day gaps occur periodically due to removal for recalibration.
Year 2003, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH on the Ipswich R. mainstem at North Reading, just upstream of Rt. 28 (~48 km2 drainage area).
Year 2003, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (March – December). No Discharge was determined because beaver activity prevented rating curve estimate. Several day gaps occur periodically due to removal for recalibration.
SBC LTER: Land: Stream chemistry in the Santa Barbara Coastal drainage area, 2000 -2018
This data package contains stream water chemistry measurements taken in Santa Barbara area watersheds, between 2000 and 2018. We do not plan to update this dataset after 2018 because the watershed component of the research within SBCLTER was terminated. Stream water samples were collected weekly during non-storm flows in winter, and bi-weekly during summer. During winter storms, samples were collected hourly (rising limb) or at 2-4 hour intervals (falling limb). Analytes sampled in the SBC LTER watersheds included dissolved nitrogen (nitrate, ammonium, total dissolved nitrogen); soluble reactive phosphorus (SRP); particulate organic carbon, nitrogen and phosphorus; total suspended sediments; and conductivity. There were two tables in this dataset. Samples from "registered stations" (see geographic coverage) were in the first data table (see table name). Many other samples had been collected ad hoc, or as "stations of opportunity". These had been collected in a second table, designated "non-registered". The station codes for these samples may have been reused, and were not recorded in metadata (but station codes can be found in data).
Fig. 2. Phenacogaster julliae, MZUSP 51375 in A new glass tetra species of Phenacogaster from the rio Salitre, rio São Francisco drainage, Brazil (Characiformes: Characidae)
Fig. 2. Phenacogaster julliae, MZUSP 51375, paratype, male, 26.3 mm SL, rio Salitre, Bahia state, Brazil.
Fig. 1. Phenacogaster julliae, MZUSP 123642 in A new glass tetra species of Phenacogaster from the rio Salitre, rio São Francisco drainage, Brazil (Characiformes: Characidae)
Fig. 1. Phenacogaster julliae, MZUSP 123642, holotype, unsexed, 27.4 mm SL, rio Salitre, Bahia state, Brazil.
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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)
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DANDI Archive for NWB datasets
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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.