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676 results for “hydrologic”
Microbial biomass at the Coweeta Hydrologic Laboratory in 1994
All of the data originated in the riparian watershed (WS 55) at Coweeta. Thus far, all soil data occurred in 1994 - ie. before the rhododendron removal. The summary C and N files are saved by date (year, month,and day). Within each file are data for Microbial carbon and nitrogen. The sample names (ex. C1-1, 0-5) indicate control plot, 1 meter distance from the stream, sample number 1, at the 0-5 cm soil depth, and so on. T would indicate treatment plot and 5-10 indicates the 5-10 cm soil depth. Within each plot (C and T), we established three transects, 10 meters in length, at 1, 5, and 15 meter distances upslope from a stream. Along each transect, 4 samples were collected and each sample consisted of two bulked soil cores, separated by depth (0-5 cm and 5-10 cm). All sampling dates were in 1994, beginning in March. Sample dates were selected to correspond with seasonal changes and occurred March 25, June 16, August 16, November 1, and December 16. Microbial C data is listed as microgram C per gram dry weight soil, followed by an average of C (measured by distance from the stream) and standard deviation corresponding to that average. ND listed in the Project indicates that the sample needs to be reanalyzed or was missing. The december Project needs more work, but I have included it anyway. Microbial nitrogen is listed as microgram of total persulfate N per gram dry weight soil. This is again followed by an average N value by distance from the stream and depth of the soil and the corresponding standard deviation.
Benthic organic matter (BOM) standing crops along the Ball Creek / Coweeta Creek elevational gradient at the Coweeta Hydrologic Laboratory from 1991 to 1992
We investigated how benthic organic matter (BOM) standing CR varied over space and time in the context of an elevational stream-size gradient. Samples were collected with a stratified random procedure to also study how BOM varied with respect to the major habitat patches within the stream. Habitat patch include cobble-riffle, sandy-reach, and rock. Benthic organic matter was collected efuarterly from streams draining a 9-yr-old clearcut, an 18-yr-old "old-field", a 25-yr-old successional forest, and two reference watersheds at Coweeta Hydrologic Laboratory in the Appalachian Mountains of North Carolina, USA. Samples were separated into large benthic organic matter (LBOM >1 mm) and fine benthic organic matter (FBOM <1 mm). An additional survey of large (>5 cm diam.) and small (1-5 cm diam.) wood was conducted. This study was conducted from 1991 to 1992.
Mesoscale variation in fish populations in two small Appalachian streams (fish population data) at the Coweeta Hydrologic Laboratory in 1996
We examined the reach-scale distributions of three fish species to determine which biotic and abiotic factors are influential in the fishes distributions.
Intensive Stream Survey Geomorphology Data from 2010 to 2011 at the Coweeta Hydrologic Laboratory, Otto, NC
From June 2010 until February 2011, fifty streams were surveyed to determine the physical characteristics of streams in forested, traditional land use, and developed settings. Cross-sectional measurements were taken at 16 cross-sections on each reach. The distance between each cross-section was twice the average active channel width (which was determined prior to the survey). At one to three locations within each surveyed reach, slope was determined by placing a laser level at a location upstream and then measuring the amount of elevation change at the water surface. Between each cross-section, the instream habitat was recorded. Large woody debris was measured where it was found within the surveyed reach of the stream. Only LWD with diameter >10 cm was measured. At a representative riffle within the reach, a Wolman pebble count (100 randomly selected pieces of sediment) was taken.
Mesoscale variation in fish populations in two small Appalachian streams (light data) at the Coweeta Hydrologic Laboratory in 1996
We examined the reach-scale distribution of macroinvertebrates to determine if photosynthetically active radiation (PAR) is influential in the distribution of the macroinvertebrates and macroinvertebrate functional feeding groups.
Stream fish assemblage stability in a southern Appalachian stream at the Coweeta Hydrologic Laboratory from 1984 to 1995
Stream fish abundance data was collected seasonally in three 30m sections of stream from 1984 to 1995. Population estimates were obtained using electrofishing (3 pass removal). Habitat availability measurements were recorded biannually along with the electrofishing data starting in fall 1988. Data was collected each fall and spring from 1988-1995, in order to examine changes in fish assemblage structure along the habitat gradient. We used strong inference with Akaike’s Information Criterion (AIC) to assess the processes capable of explaining long-term (1984–1995) variation in the per capita rate of change of mottled sculpin (Cottus bairdi) populations in the Coweeta Creek drainage (USA). We sampled two fourth- and one fifth-order sites (BCA [uppermost], BCB, and CC [lowermost]) along a downstream gradient, and the study encompassed extensive flow variation.
Assessment of parentage relationships in Cottus bairdi at the Coweeta Hydrologic Laboratory in 1999
None submitted by researchers.
Changes in incident light intensity to streams with progressive hemlock mortality at 5 Coweeta Hydrologic Laboratory study sites from 2005 to 2015
The purpose of this study was to document changes in light intensity to streams in areas affected by hemlock mortaity. From June 2005 to November 2015, relative light intensity at 5 locations along each stream reach was monitored every 5 minutes. This study was conducted at Coweeta Hydrologic Laboratory. Five stream sites were located on 1st - 2nd order streams reaches affected by hemlock death. All sites were located in areas that have not been logged since the area became National Forest in the late 1920s and where streams passed through or were adjacent to permanent vegetation plots in which trees were measured in 1934-35, 1969-73 and 1988-93 (Elliott and Swank, 2008.)
Stream salamander mark-recapture abundance study at the Coweeta Hydrologic Laboratory, Otto, NC.
Mark-recapture data of the stream-dwelling plethodontid salamander species located in six streams within the Coweeta LTER site. The data covers the periods of May to August 2007 and 2008. Animals were either captured and given an individual mark using elastomer dye, or simply counted if animals were too small in size to mark. Animals were captured within 10, 1 m^2 plots within each stream using a 40 X 40 cm mesh bag filled with hardwood leaf litter, or by dipnet within each plot. Animals were identified, measured, marked, and released directly following capture.
Stem temperature in watershed 02, ridge plot at the Coweeta Hydrologic Laboratory from 1996 to 1998
Tree stem temperature is currently being collected to determine both diurnal and seasonal variation in tree stem temperatures for all species and sizes present at the Coweeta Watershed 2 Ridge Carbon Flux Plot. The purpose of the data is to characterize the tree stem temperature regimes as they relate to tree stem respiration. Data will continue to be collected until approximately December 1997. Data will then be subsequently summarized and published.
The importance of crayfish in the breakdown of rhododendron leaf litter at the Coweeta Hydrologic Laboratory in 1999
Rhododendron (Rhododendron maximum) is a common evergreen shrub in riparian areas of the southern Appalachians, where its leaves can comprise a large proportion of leaf litter in streams. However, they are relatively refractory and generally considered a low quality food resource for detritivores. Our objective was to assess whether macroconsumers (primarily crayfish (Cambarus bartonii)) influence rhododendron leaf breakdown in a forested southern Appalachian stream in both summer (when leaves other than rhododendron are relatively scarce) and autumn (when other leaves are relatively abundant). We conducted two leaf decay experiments, one in summer and one in autumn, using pre-conditioned leaves. Macroconsumers were excluded from the benthos of a fourth-order stream using electric fences; we predicted that excluding macroconsumers would reduce the decay rate of rhododendron leaves in both summer and autumn.
Top-down interactions in streams draining human-modified landscapes at the Coweeta Hydrologic Laboratory from 1997 to 1998: Gradient algae data
Spatial and temporal variability of consumer-controlled forces have been the subject of much debate in ecology. To date, most studies considering variability of these top-down interactions have focused on systems minimally impacted by human activities. However, human modification of the landscape is prevalent, and it can significantly affect the strength and outcome of species interactions. The objective of this study was to examine how top-down interactions vary among streams with differing amounts of human disturbance in their watersheds. To address this issue, we experimentally excluded macroconsumers (fishes and crayfishes) from benthic areas of five southern Appalachian streams. These sites represented a range of human watershed development, from 100% to < 50% forested; macroconsumer assemblages at low development sites were dominated by benthic insectivores (Cottus bairdi) and crayfishes, whereas algivores (Campostoma anomalum) and general insectivores (e.g., Notropis leuciodus) were common at more developed sites. Using ceramic tiles as sampling substrates, we compared sediment, algal assemblages (chlorophyll a, AFDM, abundance, biovolume, and composition), and insect assemblages (abundance, biomass, and composition) in macroconsumer exclusion and control areas.
Hydrogeology, Geochemistry, and Groundwater Study within the Coweeta Hydrologic Laboratory, 2006-2010
The primary objectives of the study were to: (1) characterize the ground water geochemistry in a pristine, mountain setting underlain by felsic gneiss and evaluate changes over time and space within the local groundwater system; (2) evaluate the hydraulic communication between the shallow regolith and deeper bedrock flow systems and the local flow dynamics between ground and surface water in both recharge and discharge areas; (3) evaluate the regolith-bedrock transition zone and its role as a preferential groundwater flow pathway; (4) characterize aquifer properties in the regolith and bedrock in selected areas; (5) determine the age of groundwater and time of travel from a recharge area to a discharge area; and (6) track water level fluctuations over time, in response to fluctuations in evapotranspiration, rainfall, and seasonal climate.
Weather data from Screwdriver Knob, Coweeta Hydrologic Laboratory
This data set contains measurements of air temperature, relative humidity, wind speed, wind direction, PAR density, and rainfall from a site located on Screwdriver Knob,Coweeta Hyrdologic Laboratory, Otto, NC. Air temperature, relative humidity, wind speed, and PAR density are measured every 60 seconds with average, minimum, maximum, and discrete top of the hour values saved to the output data table hourly. Wind direction is measured every 60 seconds with the average value saved to the output data table every hour. Hourly rainfall is totalized and a continuous 24 hour rainfall value is calculated. Calculations for dew point, heat index, wind chill, and wind vector are calculated hourly and saved to the output data table.
Coweeta Hydrologic Laboratory and Basin Reference GIS data
Coweeta Basin reference GIS data that were either commissioned or produced by the USDA Forest Service Coweeta Hydrologic Laboratory or the Coweeta LTER starting in the late 1980s.
Saddle catchment vegetation cover for Distributed Hydrology Soil Vegetation Model (DHSVM), 2 meter, 2019
The Saddle Catchment of the Niwot Ridge LTER is subject to observed and modeled hydrologic connectivity and nuances that is influenced by the variable vegetation across the area. This file was specifically intended to update the Distributed Hydrology Soil Vegetation Model (DHSVM) input file used to simulate vegetation within the Saddle Catchment, as an ongoing method for evaluating modeled hydrologic connectivity. Thus, high resolution vegetation information was used from existing National Ecological Observatory Network (NEON) datasets. NEON has developed a suite of vegetation datasets including a 1m spatial resolution Airborne Observation Platform (AOP) Total Biomass data product. This product is an orthorectified (UTM projection) raster product derived from NEON AOP Imaging Spectrometer (NIS) reflectance data (DP3.30016.001). This vegetation layer was chosen because it visually reflected the differences in vegetation across the Saddle Catchment at a much higher resolution than previous DHSVM vegetation files. Using this gridded biomass product, different vegetation types were manually assigned and translated into to DHSVM vegetation types/codes. The assigning and translating of vegetation types was done by consulting NWT LTER individuals who specialize in the vegetative and soil properties within the Saddle Catchment and using available point-vegetation data from the Saddle Catchment sensor node network. The final product was upscaled to a 2m resolution using R (to match all other DHSVM input files).
Winter snow depths for initializing a glacio-hydrological model in high mountain Chile
<p>The following dataset consists of the forcings, initial conditions, model grids and parameters used to run the TOPKAPI-ETH model (<em>Finger et al., 2011; Ragettli and Pellicciotti, 2012</em>) for the Rio Yeso catchment of central Chile (33.44°S, 69.93°W - <em>Burger et al., 2018</em>). The data and model grids were used to investigate the importance of accurate snow depth maps for initialising the physically-oriented model in a high elevation catchment - For a manuscript submitted to Water Resources Research (WRR) - January 2020. </p> <p> </p> <p>Data and file repository for the submitted article:<br> %-------------------------------------------------------------<br> %-------------------------------------------------------------</p> <p> On the utility of optical satellite winter snow depths for modelling the<br> glacio-hydrological behaviour of a high elevation, Andean catchment.</p> <p>Thomas E. Shaw1, Alexis Caro1,2, Pablo Mendoza3, Álvaro Ayala4, Francesca Pellicciotti5,6, Simon Gascoin7, James McPhee1,3</p> <p>1 Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile<br> 2 Univ. Grenoble Alpes, CNRS, IRD, Grenoble-INP, Institut des Géosciences de l’Environnement (IGE, UMR 5001), Grenoble, France<br> 3 Department of Civil Engineering, Universidad de Chile, Santiago, Chile<br> 4 Centro de Estudios Avanzados en Zonas Áridas (CEAZA), La Serena, Chile<br> 5 Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland<br> 6 Department of Geography, Northumbria University, Newcastle, UK<br> 7 CESBIO, Université de Toulouse, CNES/CNRS/INRA/IRD/UPS, Toulouse, France</p> <p>%-------------------------------------------------------------<br> %-------------------------------------------------------------<br> The following sub-folders are separated into forcings, grids, initial model conditions, model files and parameters.</p> <p>This file describes briefly the contents of each sub-folder.</p> <p>%-------------------------------------------------------------<br> FORCINGS:</p> <p>CloudCover_TPK.csv - A timeseries of hourly cloud cover fraction (-) derived NASA POWER archives.<br> Discharge_TPK.csv - A timeseries of hourly discharge (m3 s-1) from the outlet station F_TdP.<br> Master_Data_TPK.mat - a Matlab structure (written in version 2017a) for all data availble to the catchment for the considered model period.<br> Precipitation_TPK.csv - A timeseries of hourly precipitation (mm/hr) from AWS TdP.<br> Temperature_TPK.csv - A timeseries of hourly temperature (degC) from AWS TdP. <br> TemperatureGradient_TPK.csv - A timeseries of calibrated temperature gradients based upon forcing from AWS TdP.</p> <p>%-------------------------------------------------------------<br> GRIDS:</p> <p>42 ascii files for various grids (primary or secondary) use to derive the .TES file (see TOPKAPI-ETH sub-folder) for running the model.<br> Associated projection (.prj) files are given.<br> Naming convention is provided in the manual (see TOPKAPI-ETH sub-folder) except:<br> rdy_SoilDepth.asc - An adjusted top layer soil depth map based upon Ragettli et al. (2012).<br> rdy_debris_v.asc - A debris thickness map for Piramde Glacier and the tongue of Bello Glacier. Values adjusted slightly from Ayala et al. (2016) to account for areas that are not debris, but bedrock (Bello Glacier).</p> <p>%-------------------------------------------------------------<br> INITIAL_CONDITIONS:</p> <p>Sub-folder 'Albedo': <br> Albedo_Pleiades.asc - An albedo map derived from the model spin up and limited to the snow-covered pixels of the Pléiades snow depth map.<br> Sub-folder 'Snow':<br> XXX_snow_mmwe.asc - A snow water equivalent map (mm w.e.) given by the initialisation method 'XXX' (Pléiades, TOPO or DBSM). TPK is derived solely from the model spin up (an input grid not required). <br> XXXeq_snow_mmew.asc - As above, though considering the equal means approach described in the manuscript. TPK included here.<br> Sub-Folder 'SpinUp_State':<br> 201709040000.stt - The system state file that contains information on the equiblibrium state of catchment (as read by the model upon initialisation). Running the model with a spinup shuld call upon this file within the command prompt.</p> <p><br> %-------------------------------------------------------------<br> PARAMETERS:</p> <p>Sub-folder 'Calibration'<br> TPK_ParameterAllocation - A Matlab script for the establishing the Monte Carlo parameter simulation and running the model n times. The current script is considered for soil parameters.<br> Sub-folder 'Sensitivity'<br> TPK_Sensivity_Analysis - A Matlab script for establishing the upper and lower boundaries of parameter/forcing sensitivities for a one-at-a-time analysis.</p> <p> </p> <p>%-------------------------------------------------------------<br> RESULTS:</p> <p>Model_Output_Comparison.mat - A matlab file with output grids and vectors for model intercomparisons (i.e. Pléiades (Pléiades-Uncertainty and Pléiades+Uncertainty), TOPO, TPK, DBSM + equal means equivalents). Files are:<br> All_S - Daily snow mass balance grids (mm w.e.)<br> Bias_Month - Monthly bias (row) of modelled vs measured streamflow at F_aP site for each model run (column).<br> Date_Daily - Numeric date of daily grids<br> DateTPK - Numeric date of hourly model simulations<br> Gla_Map - Daily cumulative glacier modelled mass balance grids (mm w.e.) for x,y,t,MOD - such that the 4th dimension is the model simulation<br> GMB_Bello - Cumulative modelled mass balance (mm w.e.) of Bello Glacier AWS grid cell<br> GMB_Piramide - Cumulative modelled mass balance (mm w.e.) of Piramide Glacier AWS grid cell<br> GMB_Yeso - Cumulative mass modelled balance (mm w.e.) of Yeso Glacier AWS grid cell<br> KGE_Month - KGE values per month (row) and for each model run (column)<br> M3AP - Measured streamflow at F_aP<br> M3TP - Measured streamflow at F_TdP<br> MeltG_Avg_all - Mean hourly ALL-glacier melt rate (mm w.e./hr) for each model run (column)<br> MeltS_Avg_all - Mean hourly catchment-wide melt rate (mm w.e./hr) for each model run (column)<br> MOD_SnowCC - Daily MODIS snow cover fraction<br> Model_Name - .... well, its the name of the model run :=)<br> MODIS_SLE - The calculated Snow Line Elevation (m a.s.l.) for each daily MODIS scene<br> PlanetSLE - As above, but for PlanetScope images (17 days total)<br> Planet_SnowObs - The numeric dates of the equivalent PlanetSLE data<br> Q_Mod_aP - The modelled hourly streamflow at F_aP<br> Q_Mod_TdP - The modelled hourly streamflow at F_TdP<br> Q_Prc_Month - The percentage difference in monthly (row) modelled-measured streamflow by model run (column)<br> R_Month - Correlation values per month (row) and for each model run (column)<br> RelVar_Month - Relative variance per month (row) and for each model run (column)<br> Snow_Map - Daily snow water equivalent grids (mm w.e.) for x,y,t,MOD - such that the 4th dimension is the model simulation<br> SnowCC - The hourly modelled snow cover fraction for the catchment for each model run (column)<br> TPKSLE - The daily modelled TOPKAPI-ETH model SLE from each model run (column)</p> <p> </p> <p>%-------------------------------------------------------------<br> TOPKAPI-ETH:</p> <p>FIUME - A generic file type that is called by the model to ID the name of the study site. I this case 'rdy'.<br> rdy.TES - A vectorised file of all grids required by the model to run.<br> rdy.TPK - The TPK parameter and command file. This is adjusted to change input parameters and forcing files etc. The current file is the optimised version for this catchment.<br> TManual_Aug2013.pdf - A PDF instruction file (semi-complete) for the model written by Stefan Rimkus (2013). The naming conventions and grid names are given here.</p> <p> </p> <p> </p> <p>CITED MATERIAL REGARDING THE MODEL</p> <p><strong>Burger, F., Ayala, A., Farias, D., Shaw, T. E., Macdonell, S., Brock, B., McPhee, J., Pellicciotti, F. (2018a). Interannual variability in glacier contribution to runoff from a high ‐ elevation Andean catchment: understanding the role of debris cover in glacier hydrology. Hydrological Processes, SI-Latin(January), 1–16. <a href="https://doi.org/10.1002/hyp.13354">https://doi.org/10.1002/hyp.13354</a></strong></p> <p><strong>Finger, D., Pellicciotti, F., Konz, M., Rimkus, S., & Burlando, P. (2011). The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model. Water Resources Research, 47(7), 1–14. <a href="https://doi.org/10.1029/2010WR009824">https://doi.org/10.1029/2010WR009824</a></strong></p> <p><strong>Ragettli, S., & Pellicciotti, F. (2012). Calibration of a physically based, spatially distributed hydrological model in a glacierized basin: On the use of knowledge from glaciometeorological processes to constrain model parameters. Water Resources Research, 48(3), n/a-n/a. <a href="https://doi.org/10.1029/2011WR010559">https://doi.org/10.1029/2011WR010559</a></strong></p> <p> </p>
Data for: Landscape scale variation in the hydrologic niche of California coast redwood
<p>Topoclimatic diversity within forest landscapes can underlie variation in water availability, which may correspond to patterns in habitat suitability of tree species with differing hydrologic niches. However, the trade-off between the collection of data at a fine grain size over large spatial extents has limited comprehensive analyses of landscape scale variation in habitat suitability. We present a fine scale analysis of the roles of topographic gradients in moisture availability, soil water storage, and fog frequency in the spatial pattern of habitat suitability for coast redwood (<i>Sequoia sempervirens</i>), at 10 m resolution across 34,800 hectares and three landscapes spanning approximately one-third of redwood's latitudinal range. A new 10 m resolution presence-absence map derived from airborne imaging spectroscopy was used to characterize current redwood distributions in three landscapes. Access to belowground moisture was assessed through four measures calculated from a high-resolution LiDAR digital elevation model, soil water storage was mapped from the USDA Soil Survey Geographic Database, and fog frequency was calculated from MODIS cloud cover data. Access to belowground moisture and fog predicted variation in suitability as redwood habitat from 22–75% and predicted redwood presence and absence at 10 m resolution with 63–74% accuracy. Across all three landscapes, redwood density consistently decreased with increasing interpolated height above a stream (IHAS), but the role of other predictors varied among the sites. Our results challenge previous assumptions that redwood habitat suitability within much coarser resolutions (800 m x 800 m) can be described by a single value. The elevated habitat suitability of sites close to streams suggests that these sites should be evaluated for their potential to become microrefugia within landscapes that may become climatically unsuitable for redwoods at a regional scale. </p>
MONITORING AND MODELING OF HYDROLOGICAL PROCESSES IN THE SEMIARID REGION OF BRAZIL: THE CARIRI EXPERIMENTAL BASINS
<p><strong>DATASET DESCRIPTION</strong> - Two experimental basins – the Cariri basins – were installed in a typically semiarid region in the State of Paraíba, Brazil, for obtaining reliable estimates of runoff and soil erosion in different scales to evaluate the influence of the human activities and other factors over the processes of runoff and erosion. In the first basin, located in the municipality of Sumé, the field studies were carried out at three different scales: four micro-basins with an area of around 0.5 ha; nine standard Wischmeier-type erosion plots of 100 m<sup>2</sup> and seven sample plots of 1 m<sup>2</sup>. The experimental units had varied vegetal cover and management and, except the sample plots, were subjected to natural rainfall events only, and were monitored from 1982 to 1991. The total runoff and total sediment yield were determined for each of the events of precipitation. The installations of the second basin, in the near municipality of São João do Cariri, were planned for the continuation of the studies initiated at Sumé, and include erosion plots (100 m<sup>2</sup>), micro-basins, and sub-basins, which are being monitored for runoff and sediment production up to now. Among them, two nested micro-basins were monitored to detect any scale effect at the micro-basin level. Nearly 600 events of natural precipitation, that produced runoff in at least one of the experimental units, have been registered. This bulk of data was utilised to evaluate the influence of various factors, including cultivation practices. The data collected so far has been successfully used to calibrate hydrological models for plots and micro-basins. Parameters have been tested by means of cross validations among micro-basins and sub-basins.</p> <p><strong>FILENAMES </strong>– The data files are divided into three categories: Description of the equipment utilized for collecting data and their locations, the data collected from the monitored experimental basins and another with maps, figures and pictures. The file names are designated with the basin name and the content. The files describing the equipment comprise: BASINNAME_DATADESCRIPTION, where BASINNAME could be EBS or EBSJC. The files with the data collected in the experimental basins are denominated like: BASINNAME_DATANAME. The DATANAME will be one of the three that may be, precipitation, runoff and sediment yield, or climatologic data. The file with maps and other information are identified as: BASINNAME_GEOPHYSICDATANAME, and BASINNAME_PICTURES. The geophysical data refer to topographic data, soil data, land cover and the drainage network. Graphs, pictures, etc., are included in the PICTURES file.</p> <p><strong>DATAFORMAT </strong>– The data file about equipment and localization as well as the data collected in experimental units are of the type “. csv”, the geophysical data are of either “.dwg” or “.shp”. The figures and picture are in the format: .jpeg, .png or .tif.</p> <p><strong>ACKNOWLEDGEMENTS </strong>– SUDENE – the Superintendency for the Development of the Northeast of Brazil with the cooperation of ORSTOM – the French Government Agency for Technical Cooperation Overseas was responsible for implementing the program of Representative and Experimental Basins in the region beginning in the decade of 1970. Pierre Audry, Eric Cadier, Jean Leprun and Michel Molinier, hydrologists and soil scientists from France played key roles in the selection of site, installation of experimental units and beginning the operation of the EBS. Beronildo Freitas was the engineer from SUDENE responsible for technical coordination and administration. The contributions of other researchers and technical people have been listed by Srinivasan and Galvão (2003). The installation of the research catchment at São João de Cariri had the valuable collaboration of GTZ, the cooperation Agency of the Government of Germany. Dr. Ing Ubald Koch was responsible for getting all the equipment, installing them and conducting research work along with the members of the Hydrology Research Group of the Federal Universities of Paraiba and Campina Grande. Late prof. Manoel Gilberto de Barros efficiently coordinated the field work. Eduardo Figueiredo, Celso Santos and Ricardo Aragão have made note worthy contributions. The Ministry of Science and Technology of Brazil has provided the bulk of the financial support needed for the operation of the basins, through its main funding agencies of CNPq (National Council for Development of Science and Technology) and FINEP (Agency for Financing research Studies and Projects).</p>
Optimal parameters of GR4J and HBV hydrological models used in the OpenForecast v2 system
<p>The database contains optimal parameters of GR4J and HBV hydrological models, which are operationally used in the second version of the OpenForecast system (openforecast.github.io).</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.