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97 results for “Water management”
Figure 3 in Developing an advanced information system to support ballast water management
Figure 3. An overall view of all modules of the Ballast Water Information System.
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset2
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
MADFORWATER: WP2: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task 2.3–Agro-industrial wastewater treatment: Subtask 2.3.1. –Treatment of olive mill wastewater (OMWW): Aerobic biological treatment in sequenced batch reactors (SBRs): Subset 1
<p>This dataset contains the data underlying the following publication: Fatma AROUS, Chadlia HAMDI, Souhir KMIHA, Nadia KHAMMASSI, Amani AYARI, Mohamed NEIFAR, Tahar MECHICHI, Atef JAOUANI (2018). Treatment of olive mill wastewater through employing sequencing batch reactor: Performance and microbial diversity assessment. 3 Biotech 2018, 8, 481. https://doi.org/10.1007/s13205-018-1486-6.</p>
Field Data associated with study: Investigating the water movements around a shallow shipwreck in Big Tub Harbour of Lake Huron: implications for managing underwater shipwrecks.
<p>Field data (Water temperature, pressure, currents, summary of boat presence data) used in analysis of the study (and paper with the same name) titled: Investigating the water movements around a shallow shipwreck in Big Tub Harbour of Lake Huron: implications for managing underwater shipwrecks.</p>
Digital solutions and early warning system for decision support and risk management in water reuse for irrigation
<p>Video presentation for IWA World Water Congress & Exhibition, 11-15 September 2022, Copenhagen, Denmark.</p>
Eutrophication, water quality, and fisheries: a wicked management problem with insights from a century of change in Lake Erie
<p>The datasets here were used to examine relationships between the overall productivity of Lake Erie and the commercial harvest of lake whitefish (<em>Coregonus clupeaformis</em>), walleye (<em>Sander vitreus</em>), and yellow perch (<em>Perca flavescens</em>) during 1915–2011. Here, we provide the two datasets used in the paper by Sinclair et al. titled "Eutrophication, water quality, and fisheries: a wicked management problem with insights from a century of change in Lake Erie". Each dataset is provided as a separate tab in a single Excel worksheet. The first dataset ("Productivity") provides the annual values of the five metrics used to develop the index of overall Lake Erie productivity. The second dataset ("Commercial harvest") provides the total annual commercial harvest (kg) of the three fish species, which were obtained from the Great Lakes Fishery Commission (<a href="http://www.glfc.org/great-lakes-databases.php">http://www.glfc.org/great-lakes-databases.php</a>). A summary and explanation of each variable is provided in the "Info" tab. Further information on how values were calculated (and transformed if necessary) is provided in either the info tab or the methods and supporting information of the associated article.</p>
Eutrophication, water quality, and fisheries: a wicked management problem with insights from a century of change in Lake Erie
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Data from: Predicting habitat suitability and connectivity for management and conservation of urban wildlife: A real-time web application for grassland water voles
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Mitigating ecosystem service tradeoffs in rangelands by using grazing duration and timing to manage water quality
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Predicting the effects of reservoir water level management on the reproductive output of a riparian songbird
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Water Management Panel Data (1985-2018) of California's Western Sierra Nevada High-Elevation Basins
<p>This is 34 years of water data from 14 high-elevation basins on the western slope of California's Sierra Nevada. All data originates from the California Data Exchange Center (CDEC: <a href="http://cdec.water.ca.gov/">http://cdec.water.ca.gov/</a>). The data were cleaned and aggregated between the years 2013-2019. The panel data table includes records of April-July runoff forecasts (the 50% exceedance forecast), forecast uncertainty (as measured by the difference between the 90% and 10% exceedance forecasts), available reservoir space to store runoff on March 31st, April-July releases, and the interaction term forecastXuncertainty. The data are organized as an unbalanced panel data table (N=416) for 34 years of records for 14 basins. All water volumes are reported in cubic kilometers. This data set includes a key that details the common names of each basins, each of their aggregated surface reservoir storage capacity, the measurement location where the data are aggregated in reference to, and a three letter code that links the key to the panel data table. This is the same three letter key used to query some of these data within CDEC.</p> <p>Detailed information on the project is available in the companion open-access publication (DOI available upon publication). The description of this data is in progress and will be fully updated upon acceptance of accompanying peer-reviewed journal article.</p>
Data from: Effects of water level and grassland management on alpha and beta diversity of wet grassland birds in restored wetlands
Nearly 60% of European wetlands have been lost to drainage or to the cessation of grassland management. Large amounts of resources are put into wetland restoration with the aim to recover biodiversity. However, few studies have simultaneously evaluated effects of management, wetness and flooding dynamics on biodiversity of restored wetlands such as seasonally flooded wet grasslands. We inventoried bird communities over 4 years at 137 sites (each 3·1 ha) within five restored wet grassland areas in Sweden to investigate whether species richness and occurrence of 12 common wet grassland species were related to (i) local conditions such as management (grazing, mowing and unmanaged areas), basic wetness and spring flooding dynamics. Further, we investigated whether (ii) the composition of the adjacent landscape (20 ha) related to local bird diversity and (iii) species turnover (i.e. beta diversity) differed between sites characterized by their basic wetness, degree of flooding and predominant management regime. Local species richness was positively linked to degree of flooding and basic wetness of grasslands but not to type of grassland management. Species richness tended also to be negatively linked to proportion of forest at the landscape scale. Although variable, the same results were also true concerning the probability of the occurrence of a single species at the local scale. Species turnover between sites, and thus total species richness, was distinctly higher in (i) grazed as compared to mowed grasslands except in dry non-flooded grasslands and (ii) flooded as compared to non-flooded sites. Similar patterns held for the subset of 12 red-listed species. We suggest that the high beta diversity in grazed and flooded grasslands is driven by the heterogeneous vegetation structure, resulting in good conditions for foraging and nesting for several wet grassland bird species. Synthesis and applications. The selection of wetlands for conserving wet grassland birds should prioritize temporary flooded grasslands of moderate wetness, preferably far from forest edges. Restoration and management of wet grasslands should include water level management, removal of shrubs and trees, and low-intensity grazing, whereas mowing could be used in non-flooded grasslands of low basic wetness.
Data from: Managing hydropower dam releases for water users and imperiled fishes with contrasting thermal habitat requirements
1) The construction of dams on large rivers has negative impacts on native species. Environmental flows have been proposed as a tool to mitigate these impacts, but in order for these strategies to be effective they must account for disparate temperature and flow needs of different species. 2) We applied a multi-objective approach to identify tradeoffs in dam release discharge and temperature for imperiled warm- and cold-water fishes while simultaneously meeting the needs of human water users. 3) Using the Sacramento River (California, USA) as a case study, our model suggests that current management aimed at conserving an endangered cold-water species (winter-run Chinook salmon; Oncorhynchus tshawytscha) and providing high discharge for downstream water users has detrimental impacts on a threatened warm-water species (green sturgeon; Acipenser medirostris). 4) We developed an optimal dam release scenario that can be used to meet the needs of salmon, sturgeon, and human water users. Our results show that dam releases can be managed to successfully achieve these multiple objectives in all but the most severe drought years. Synthesis and applications This study shows that managing dam releases to meet the needs of a single species can have detrimental effects on other native species with different flow and temperature requirements. We applied a multi-objective approach to balance environmental requirements of multiple species with the needs of human water users. Our findings can be used to guide management of Shasta Dam and our approach can be applied to achieve multi-object management goals in other impounded rivers beyond California's Sacramento River.
OpenET model data for assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications
<h2>Overview</h2> <p>This dataset includes daily and monthly evapotranspiration (ET) data from the remote sensing models that comprise the [OpenET](https://openetdata.org/) ensemble as described in Melton et al., 2022 (https://doi.org/10.1111/1752-1688.12956); these data were extracted at specific locations within the contiguous United States that coincide with *in situ* measurement stations, including eddy covaraiance, Bowen-ratio, and lysimeter stations. Model ET data where extracted at each site in this dataset using flux footprints as described in Volk et al., (2023) (https://doi.org/10.1016/j.agrformet.2023.109307). These model data alongside the corresponding *in situ* ET data (https://doi.org/10.1016/j.dib.2023.109274) were subsequently used in the manuscript for the OpenET Phase II Intercomparison and Accuracy Assessment (https://doi.org/10.1038/s44221-023-00181-7). </p> <h3><br>Description of the data and file structure</h3> <p>The dataset is in a compressed (zipped) archive titled "OpenET_PhaseII_model_ET_dataset", so first it needs to be downloaded and extracted. The dataset is comprised of just three files. The first file is a Microsoft Excel file "Station_metadata.xlsx" that contains information about the *in situ* ET measurement stations where the OpenET model data was extracted. This file contains information such as site ID's, coordinates, land cover information, and site principal investigator (PI) contact information. Again, the corresponding *in situ* ET data are not included in this dataset. The other two files are tab-delimited text files containing timeseries the OpenET model data themselves, namely the daily ET [mm/day] and monthly ET [mm/month] as extracted for each model and the ensemble value as used in the OpenET Phase II Intercomparison and Accuracy Assessment. </p> <h3><br>Access information and code/software</h3> <p>OpenET data that was used here was produced using operational methods that are implemented on the Google Earth Engine platform. Monthly OpenET model data can be retrieved through Google Earth Data Catalog (e.g., https://developers.google.com/earth-engine/datasets/catalog/OpenET_ENSEMBLE_CONUS_GRIDMET_MONTHLY_v2_0) or through the [online data explorer](https://openetdata.org/) or using the [OpenET API](https://openetdata.org/api-info/).</p>
Opportunities for seasonal forecasting to support water management outside the tropics: Supplementary information
<p>Supporting information for Jackson-Blake et al. (2022), 'Opportunities for seasonal forecasting to support water management outside the tropics', HESS</p> <p>Contents (section numbers refer to sections in the HESS paper):</p> <ul> <li>SI1_CatchmentMaps.pdf: Catchment maps for each of the five case study sites.</li> <li>SI2_FirstSurvey_HistoricEvent.pdf: Questions asked as part of the first assessment exercise described in Section 3. In this exercise, stakeholders were asked to pick a historic season when there were problems in their catchment/lake, and then seasonal forecasts were produced for that season. Stakeholders were then asked a set of questions designed to assess: (1) their interpretation of the forecasts, and (2) to what extent they thought forecasts would have been useful for them. Full questions and answers are provided in this pdf.</li> <li>SI3_WindowsOfOpportunity_Responses.xlsx: Full responses to the questionnaire described in Sections 2.2 and 3.2.</li> </ul>
FIWARE-enabled smart solution for the optimal management and operation of raw-water supply hydraulic works
<p>This database includes the data used to produce the results for the following article:</p> <p>Kossieris, P., Pantazis, Bellos, V., C., Makropoulos, C., 2022. FIWARE-enabled smart solution for the optimal management and operation of raw-water supply hydraulic works. 7th IAHR Europe Congress, September 7th – 9th, 2022, Athens, Greece (accepted paper for oral presentation, in press). </p>
Data: The effects of glucose addition and water table manipulation on peat quality of drained peatland forests with different management practices
<p>The file contain data on peat chemical quality and peat decomposition. We studied how glucose addition, water table and forest harvesting affect the chemical composition of peat and decomposition rate (carbon dioxide fluxes) and soil water quality. Experiments and results are presented in:</p> <p>Aaltonen H., Zhu X., Khatun R., Laurén A., Palviainen M., Könönen M., Peltomaa E., Berninger F., Köster K., Ojala A., Pumpanen J. 2022. The effects of glucose addition and water table manipulation on peat quality of drained peatland forests with different management practices. Soil Science Society of America Journal 86:1625–1638. <a href="https://doi.org/10.1002/saj2.20419">https://doi.org/10.1002/saj2.20419</a></p> <p> </p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
Datasets and code utilized in the development of the following manuscript: Evaluating the accuracy of eight satellite and reanalysis daily precipitation estimates over Angola: The advantages of targeted regional evaluations to support effective water management strategies
<p>Datasets and code utilized in the development of the following manuscript: Evaluating the accuracy of eight satellite and reanalysis daily precipitation estimates over Angola: The advantages of targeted regional evaluations to support effective water management strategies.</p>
Figure 4 in Shell surface adaptations in relation to water management in rockdwelling land snails, Albinaria (Pulmonata: Clausiliidae)
Figure 4. Means ¡95% confidence intervals of activation time for smooth and ribbed Albinaria snails.
ScienceDex guides
Understand access before you commit
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.