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8,460 results for “MONITORING”
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry, 1999-2000
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry, 2001-2004
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2004-2005
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2006-2008
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry for all labs, 2009
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Illinois EPA Ambient Lake Monitoring Program (ALMP): lake water chemistry from the Champlaign laboratory, 2006
The Illinois EPA’s Ambient Lake Monitoring Program (ALMP) was created in 1977 in cooperation with the IL Department of Conservation to assess trends in a select few IL public lakes. The Illinois EPA biologists work out of three Illinois EPA regional offices: Springfield, Marion, and Des Plaines and monitor lakes in their respective areas. Approximately fifty lakes are monitored annually and of those, twenty-five are termed “Core Lakes”. A total of 75 publicly-owned lakes were chosen throughout the state of Illinois as Core Lakes. Previously these lakes were monitored every three years in order to establish a long-term monitoring trends database. In 2008 these lakes and select others were monitored on a five year rotational basis. All lakes are monitored five times yearly; once during the spring runoff and turnover period (April or May), three times during the summer (June, July, August), and once during the fall turnover period (October). Depending on the size of the lake, usually three lake sites are monitored. Monitoring includes collection of water quality and sediment samples as well as, field observation data/measurements such as Secchi disk transparency readings, dissolved oxygen, temperature, quantity of algae, macrophytes, and other key aspects of the lake and sampling event. Water quality samples are collected from one foot below the surface at all sites and two feet above the bottom at only the deepest site. These samples are routinely analyzed for suspended solids, nutrients, and chlorophyll. Additional parameters may be added for a designated period of time at select lakes based on changing data needs.
Upper Midwest Long-Term Monitoring (UMWLTM) Program
The Upper Midwest Long-term Monitoring Program lakes were initially part of a larger EPA-funded project (http://www.epa.gov/airmarkets/assessments/TIMELTM.html) to investigate trends in the acid-base chemistry of lakes in sensitive regions of the US. At the start of the project in 1983, the UMW lakes included lakes in Voyageurs National Park in Minnesota, north-central Wisconsin, and the upper peninsula of Michigan. The lakes represent low alkalinity systems considered most sensitive to acid deposition, which increased from east to west across the 3-state region. Lakes in Wisconsin and Michigan were primarily seepage lakes. Over time the sampling frequency declined (from spring, summer and autumn to only autumn) and lakes were dropped from the initial set of lakes due to funding constraints. The longest period of record is from 1983 to 2000.
NH Department of Environmental Services (NHDES) Watershed Management Bureau Biology Section: Volunteer Lake Assessment Program (VLAP) Environmental Monitoring data, 1995-2014
The New Hampshire Volunteer Lake Assessment Program was initiated in 1985 in response to an expressed desire of lake associations to be involved in lake protection and watershed management. VLAP is a cooperative program between volunteer monitors and the DES which leads to local awareness of land use and human practices that may be detrimental to lake quality and also empowers communities in their decision-making regarding lake management issues. The three major partners are the NHDES Biology Section, numerous volunteer monitors located throughout the state, and the VLAP satellite laboratories. Sara Steiner, NHDES VLAP Coordinator (who reports directly to Jody Connor, the Limnology Center Director and VLAP Program Manager), has the overall responsibility for training the volunteer monitors throughout the state in sample collection and watershed monitoring, conducting annual site visits and training interns to conduct annual site visits. NHDES and the volunteer monitors will collect samples from their lake/pond and its watershed, and will then bring samples to the NHDES Limnology Center, the Lake Sunapee Region Laboratory at Colby Sawyer College in New London, or the Environmental Research Laboratory at Plymouth State University in Plymouth. The purpose of VLAP is to assess the chemical and biological characteristics of the lakes and ponds throughout the state to determine overall health of the system. Environmental results are measured by making comparisons to established means and ranges of water quality for the state of New Hampshire. Chemical, biological, and physical parameters are measured and compared to lakes throughout the state. This data is provided to NHDES and the volunteer monitors. The data is used by the NHDES for assessment, education, and reporting purposes. The data are used by the volunteer monitors for educational purposes and for guiding local lake management activities. Volunteers collect water at least once per month during the summer (June –
Longterm Water Monitoring, central Arizona-Phoenix: monitoring site locations
The main aim of this project is to initiate and develop a field sampling program designed to answer the following questions: (1) What are the concentrations and amounts of key nutrients, salts and trace metals being imported to and exported from the CAP LTER urban areas in surface waters (rivers and canals)? (2) How do these terms change over time in response to increasing urbanization and variations in climate? (3) What are the spatial patterns of accumulation and export, and how do these relate to specific land use patches?
Longterm monitoring of primary productivity of trees: Sites
This project measure tree size parameters four times a year at 51 sites throughout the Phoenix, Arizona metropholitan area. Rapid SPAD measurements are made once a year and can be correlated to chlorophyll content of the leaves.
Longterm monitoring of primary productivity of trees
This project measure tree size parameters four times a year at 51 sites throughout the Phoenix, Arizona metropholitan area. Rapid SPAD measurements are made once a year and can be correlated to chlorophyll content of the leaves.
Index of visual monitoring, location, species behavior, and identification of cetaceans from CalCOFI cruises in the California Current System, 2005-2015 (ongoing).
Field observations are carried out to gain understanding of cetacean ecology and habitat. Visual monitoring for cetaceans has been conducted on quarterly CalCOFI cruises since July 2004 using standard line-transect protocol (Burnham et al. 1980;Buckland et al. 1993; Barlow 1995). Visual observers watch during daylight hours, when weather permits (Beaufort sea states 0 to 5 and visibility greater than 1 nautical mile) and while the ship transits between CalCOFI stations.
Figure 2 from: Moldovan OT, Øvrevik Skoglund R, Banciu HL, Dinu Cucoș A, Levei EA, Perșoiu A, Lauritzen S-E (2019) Monitoring and risk assessment for groundwater sources in rural communities of Romania (GROUNDWATERISK). Research Ideas and Outcomes 5: e48898. https://doi.org/10.3897/rio.5.e48898
Figure 2 Gantt Chart of the proposed activities during the project (June 2019 – May 2023). PR = Phase Report, FR = Final Report; *only 1 month (1) or 2 months (17).
Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?
<p>This is a research compendium (RC) for the publication</p> <blockquote> <p>Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?</p> </blockquote> <p>Code, figures, appendices and the manuscript can be found in the corresponding <a href="https://github.com/pat-s/2019-feature-selection">GitHub repository</a>.</p> <p>This RC is a static snapshot at the time of submission. The GitHub repository holds the latest version and may see changes after the publication was accepted.</p> <p><strong>Data sources and description</strong></p> <ul> <li><em>aoi.gpkg</em><strong>:</strong> Area of interest for downloading Sentinel-2 images. <em>Not used in the publication<strong>. </strong></em>Source:<em><strong> </strong></em>Custom.</li> <li><em>forest_mask.gpkg</em>: A forest/non-forest mask of the Basque Country. <em>Not used in the publication</em>. Source:<em><strong> </strong></em>Custom.</li> <li><em>hyperspectral.zip: </em>Hyperspectral remote sensing data used to extract reflectance values on the tree level. Source:<em><strong> </strong></em>Custom.</li> <li><em>plot-locations.gpkg: </em>Spatial location of the plots used in the study. Source:<em><strong> </strong></em>Custom.</li> <li><em>tree-in-situ-data-corrected.zip: </em>Corrected in-situ data containing defoliation information on the tree level. A correction of the spatial location was applied by the creators of the data. Source:<em><strong> </strong></em>Custom.</li> <li><em>tree-in-situ-data.zip: </em>First version of in-situ data containing defoliation information on the tree level.<em> Not used in the publication. </em>Source:<em><strong> </strong></em>Custom.</li> </ul> <p><strong>Licenses</strong></p> <p>All files are licensed under CC BY 4.0.</p>
Figure 2 in Terrestrial isopods as bioindicators for environmental monitoring in olive groves and natural ecosystems
Figure 2. Occurrence of isopod species per studied site.
Performance Monitoring Report of Cities
<p>This Deliverable 2.1 <em>Performance Monitoring Report of Cities</em> describes the outcome of Task 2.1 of the URBAN-EU-CHINA Innovation Platform on Sustainable Urbanisation including:</p> <ul> <li><strong>Benchmarking and performance monitoring of matched cities </strong>by comparing existing monitoring systems and refining the initial indicator selection,</li> <li><strong>A balanced key indicator set </strong>for all participating cities including an additional set with indicators for cities to expand their benchmarking, cooperation and monitoring capabilities for improved cooperation and more effective measures.</li> <li>Presentation of the <strong>evaluation results of all participating cities</strong> based on the urban development indicator framework devised jointly by the China Intelligent Urbanisation Collaboration Co-creation Centre for High Density Region (CIUC-Tongji Univ.) and the Austrian Institute of Technology (AIT),</li> <li><strong>Analysis of the monitoring results </strong>of partner cities,</li> <li><strong>Analysis of typical city partnership patterns. </strong></li> </ul> <p>The results can be used for benchmarking city performance targets, and they offer an approach to determine some typical and common criteria to select matching cities. Even if no statistical significance can be attached to the findings due to the small sample size, the findings of this report have nevertheless the potential to facilitate assessment of city development and collaboration for future cooperations between EU and Chinese cities, and to improve and achieve more effective collaboration through rational selections of partner cities. </p> <p>The approach taken for the performance monitoring of cities is based on the analyses by quantitative and qualitative indicator sets covering the domains of Society, Economy, Infrastructure, and Environment which were defined during the project and are also based on previous work. The quantitative indicators are based on numerous data sources, such as</p> <ul> <li>Oxford Economics Global Cities 2030</li> <li>OECD databases</li> <li>Eurostat databases</li> <li>Statistical Yearbooks of China</li> <li>Databases of national statistical bureaus (e.g., National Bureau of Statistics of China),</li> <li>Governmental reports (e.g., <em>Statistical Communique of the People's Republic of China on National Economic and Social Development</em>), </li> <li>private databases (e.g., Teleport<a>[1]</a>, Numbeo<a>[2]</a>), reports issued by relevant agencies (e.g., <em>China Transportation Report</em> by Baidu, Inc.), </li> <li>open spatial data sources (e.g., OpenStreetMap).</li> </ul> <p>In addition to the quantitative and qualitative screening of European-Chinese city pairs based on statistical information, empirical information concerning the perception of the collaboration quality and key success factors has been gathered, screened and assessed. The qualitative data was collected through surveys and interviews with European and Chinese city representatives. </p> <p>As the first evaluation step, the Urban Development Indicator Set was constructed in order to monitor the key performance of all participating cities in the context of sustainable development. Secondly, data of partner cities were collected according to the Urban Development Indicator Set. In the third step, key performances of partner cities were monitored and compared based upon the collected data, and similarities and dissimilarities of partner cities were identified. Finally, the integrated quantitative qualitative data were used to identify typical patterns of city partnerships. <br> Eventually, suggestions are provided for collaboration domains and collaboration types that could provide a collaboration starting point for prospective city pairs.</p> <p> </p> <p><a>[1]</a> https://teleport.org/</p> <p><a>[2]</a> https://www.numbeo.com/cost-of-living/</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Greece
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_GR_20200204: >> Ministry of Rural Development and Food</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Austria
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_AT_20200204: >> Austrian Agency for Health and Food Safety</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Switzerland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_CH_20200204: >> Federal Food Safety and Veterinary Office</p>
Antimicrobial resistance monitoring results complementing the EU Overview Summary Report on AMR in zoonotic and indicator bacteria from humans, animals and food in 2017/2018 - Estonia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: AMR_2018_EE_20200204: >> Veterinary and Food Board</p>
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.