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195 results for “water treatment”
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Carex in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Carex measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Agropyron smithii in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Agropyron smithii measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Sitanion hystrix in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Sitanion hystrix measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Sporobolus cryptandrus in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Sporobolus cryptandrus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Stipa comata in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Stipa comata measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Allium textile in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Allium textile measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Leucocrinum montanum in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Leucocrinum montanum measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Aristida longiseta in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Aristida longiseta measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Haplopappus spinulosus in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Haplopappus spinulosus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density of Salsola iberica in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density of Salsola iberica measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Treatment 4 (water and nitrogen addition) for ESA study, study of plant density in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains plant density measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Lysimeter - Water Treatment Plots:BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Data from: Hybrid system increases efficiency of ballast water treatment
1. Ballast water has been a principal pathway of nonindigenous species introduction to global ports for much of the 20th century. In an effort to reduce the scale of this pathway, and recognizing forthcoming global regulations that will supplant ballast water exchange (BWE) with ballast water treatment (BWT), we explore whether a combined hybrid treatment of BWE and chlorination (Cl) exceeds individual effects of either BWE or chlorination alone in reducing densities of bacteria, microplankton and macroplankton. 2. Five full-scale trials were conducted on an operational bulk carrier travelling between Canada and Brazil. 3. The hybrid treatment generally had the lowest final densities among all treatments for putative enterococci, Escherichia coli, and coliform bacteria, as well as microplankton and macroplankton, with the former two being synergistically lower than individual treatments alone. Microplankton abundance in the hybrid treatment was significantly but antagonistically reduced relative to individual treatments alone. Macroplankton final density was lowest in the hybrid treatment, though the interaction between treatments was not significant. 4. Synthesis and applications. In most cases the combined hybrid treatment of ballast water exchange (BWE) and chlorination reduced population densities of indicator organisms in ballast water below those proposed by the International Maritime Organization's D-2 performance standards. BWE alone was often ineffective at reducing bacterial and macroplankton densities. Even when performance standards are implemented globally, continued use of BWE could further reduce risk of invasions to freshwater ecosystems that receive ballast water from foreign sources by accentuating the decline in propagule pressure and enhancing demographic constraints for putative invaders.
Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study
<p>This is the supplementary data to the publication '<span>Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study' (<a title="DOI URL" href="https://doi.org/10.1021/acsestwater.2c00660">https://doi.org/10.1021/acsestwater.2c00660</a>). </span></p>
Input data for ENERWAT-GLOB - Water Treatment
<p>Input data for the 5 arcmin modelling framework calculating the global energy consumption of water treatment technologies (conventional drinking water treatment, desalination, wastewater treatment). Contains the following: 1) global data (folder "global_data"); and 2) inputs related to the various analyzed technologies (folder "water_treatment").</p> <p>Folder "global_data" contains: 1) 5 arcmin maps of world countries, HydroBASINS, population (total, rural, urban) and Gross Domestic Product; 2) country-level Total Gross Domestic Product and population statistics reported by the United Nations; 3) validation data, i.e. country-level energy consumption data from the U.S. Energy Information Administration for 2015 (primary energy and electricity), country-level estimates of energy consumption from Liu et al. (2016) and validation data compiled from literature reviewed by Chini et al. (2021). </p> <p>Folder "water_treatment": 1) folder "desalination" contains DesalData v2019 (edited to show bare country and region information as it is licensed data) and points used to model the increasing energy efficiency of Reserve Osmosis over time (Elimelech et al. (2011) as actual model input and Liu et al. (2016) for validation); 2) folder "dwt" contains data for conventional drinking water treatment in 2015, i.e. 5 arcmin municipal water withdrawals from PCR-GLOBWB 2 (Sutanudjaja et al. 2018) calculated by Wada et al. (2014), 5 arcmin water withdrawal sources modelled by PCR-GLOBWB 2, desalination plants online in 2015 with drinking water purposes from DesalData (edited as above), water access statistics from AQUASTAT (basic water access) and the World Bank (safely managed water access); 3) folder "wwt" contains data for wastewater treatment, i.e. global wastewater treatment plants from HydroWASTE (Ehalt Macedo et al. 2022) supplemented with data on Chinese wastewater treatment plants from Chen et al. (2019), 5 arcmin wastewater production and treatment rates from Jones et al. (2021) and data on energy consumption of 328 secondary wastewater treatment plants from Longo et al. (2016). </p> <p>For more information on the specific data sources, please refer to the manuscript "Global energy consumption of water treatment technologies". </p> <p> </p> <p> </p> <div> </div> <div> </div>
Outputs of ENERWAT-GLOB - Water Treatment
<p>Output data of the 5 arcmin modelling framework calculating the global energy consumption of water treatment technologies (conventional drinking water treatment, desalination, wastewater treatment). Contains both model output data and visualization (figures at 300 dpi). Energy consumption of desalination was calculated for 1945-2019, while energy consumption of wastewater treatment and conventional drinking water treatment was calculated for 2015. All technologies were then compared to the year 2015. Energy consumption of desalination and wastewater treatment was calculated at the plant scale, while for conventional drinking water treatment it was calculated at the catchment scale. These outputs were then aggregated to the country level.</p> <p>Model outputs include the following. 1) For desalination: calculated cumulative capacities and energy consumption ranges for technologies, subregions and feedwaters, in addition to plant-level and country-level energy consumption ranges and ratios, and feedwater-level energy efficiency of reverse osmosis (1962-2021). Licensed information from DesalData was removed. 2) For conventional drinking water treatment (folder "dwt"): the calculated 5 arcmin water access (safe, basic and untreated water use), the pixel-scale allocated water withdrawal sources (desalination, groundwater, surface water) and the country-level energy consumption ranges and ratios. Licensed information from DesalData for the allocation of desalinated drinking water was removed. 3) For wastewater treatment (folder "wwt"): the 5 arcmin modelled wastewater flows (from treated wastewater pixel to wastewater treatment plant pixels) and modelled offline plants, in addition to the plant-level and country-level energy consumption ranges. </p>
Number of Water Collection, Treatment and Supply Enterprises
<p>An imputed dataset based on the Eurostat database Business demography by size class (from 2004 onwards, NACE Rev. 2)</p>
Raw data for "Field and Laboratory Assessment of a New Electrolytic Point-of-Use Water Treatment Technology"
<p>Within these files contains the raw data used for the Figures in "Field and Laboratory Assessment of a New Electrolytic Point-of-Use Water Treatment Technology."</p>
Data (electrical conductivity, rainfall depth, water level and turbidity) registered at Bologna wastewater treatment plant from mid-May to December 2024
Open the record for dataset details and reuse information.
Water quality analysis from the Cozza-Guardati well in Lecce, before and after the ADV.ERT treatment
<p>Data from the demosite 1, Lecce, AQP facilities in Via Monteroni 118. Water quality data from the Cozza-Guardati well, before and after the treatment performed by the ADV.ERT module. </p>
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