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73 results for “environmental protection”
New Jersey Department of Environmental Protection Ambient Lake Monitoring Program, 2005-2009
This project was developed as a monitoring program that would address both the deficiencies cited in the 1999 USEPA's Office of Inspector General's Audit Report and the needs of the watershed management and water quality assessment (305(b)/303(d)) programs. This approach comports with the guidance provided in USEPA's publication, "Elements of a State Water Monitoring and Assessment Program," March 2003, which requires that states develop and implement long-term strategies that include monitoring of all state water body types including lakes. Data is collected to evaluate trophic status of selected lakes and assess the ecological health of the State's lentic water resources. This data is not expected to be compared with any existing data and is not expected to be used for any permitting, enforcement or TMDL development activities. Target population for monitoring was all lakes, man-made or natural, excepting water supply reservoirs, wholly or partially within the State of NJ political boundaries. A lake is defined as a permanent body of water of at least two hectares in surface, and a minimum depth of one meter. Lakes were selected randomly, using the USEPA - Generalized Random Tessellation Stratified (GRTS) survey design, but in a manner that equalizes selections over all Omernik level III ecoregions (6 within state). The New Jersey GIS coverage containing approximately 870 named lakes, meeting the design criteria, was used for the selection process. A total of 200 lakes were sampled, each sampled once every five years, with 40 lakes sampled per year.
Pennsylvania Department of Environmental Protection Clean Lakes Program 1997-2011
Implements the statewide water quality monitoring network to determine the quality of Pennsylvania's surface waters and identify long-term trends in quality; conducts surveys to assess the quality of streams and lakes, and prepares reports identifying those streams and lakes with protected uses deemed to be impaired; processes public petitions to re-designate the protected use for lakes and streams; and administers the anti-degradation program in surface waters designated for special protection. Reviews and proposes water quality criteria based upon good science. Annually completes numerous TMDL analyses and reports. Manages aerial blackfly spraying and conducts spraying to protect the public from mosquitos carrying the West Nile virus. This dataset contains all water quality data for the State of Pennsylvania collected from 1997 – 2011. This dataset contains data for Secchi depth, dissolved and total nutrients, chlorophyll, suspended sediments, trophic status indices, heavy metals, cations and anions, and sediment composition.
Supplement (interactive Excel tool) to MAGIC Deliverable 6.4 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land'
<p>Interactive Excel data sheets to analyse potential interventions (i.e. changes in land use type and intensity) in the Dutch dairy production system towards conserving biodiversity. The tool uses the Dutch dairy sector as a case study and represents the current land use by dairy farmers in the Netherlands. The measures applied result in different landscapes that satisfy different biodiversity targets. At the same time, the tool measures the (negative) impact on food production.</p> <p>This interactive Excel tool is a supplement to: Kok A., Ripoll Bosch R., de Olde E.M., Muscat A., de Boer I.J.M. (2020), 'Intervention directed towards environmental protection: Biodiversity conservation on agricultural land', MAGIC (H2020–GA 689669) Project Deliverable 6.4, 24 February 2020, available online: <a href="https://magic-nexus.eu/documents/d64-intervention-directed-towards-environmental-protection">https://magic-nexus.eu/documents/d64-intervention-directed-towards-environmental-protection</a>.</p> <p> </p>
CURRENT ECOLOGICAL PROBLEMS AND ORGANIZATION OF ACTIVITIES IN THE FIELD OF ENVIRONMENTAL PROTECTION
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WEEE-dismantling trial: Investigation on increasing resource efficiency and environmental protection for the recycling of small household electrical and electronic devices
<p>In the frame of the FORCE-project, Aurubis AG and Stadtreinigung Hamburg (the city of Hamburg’s municipal waste management service) carried out a trial to investigate the recycling advantages of manually pre-dismantling small electrical and electronic devices compared to non-dismantled devices. For this purpose, Stadtreinigung Hamburg dismantled a 10 t test charge of waste electrical and electronic devices and separated plastic, iron, nonferrous metal (NF metal), and aluminum to the greatest possible extent. The fractions were sampled, evaluated, and compared with another 10 t test charge of unhandled (mechanically shredded) devices.<br> Based on the results, the benefits for environmental protection and resource conservation were investigated through an ecological assessment, and an economic efficiency analysis of manual predismantling was carried out as well. Because manual pre-dismantling has proven to be economically inefficient under the current conditions, suggestions for future device design were developed – based on examples of individual product groups – to improve the economic efficiency of manual dismantling<br> and also possibly enable additional metals to be recovered in a cost-efficient manner in the future.</p> <p>Overview of the results<br> - Device-specific – small electrical and electronic devices from collection group 5 (CG 5):<br> o Breakdown of the different device types<br> o Manual dismantling process (dismantling time)<br> o Pollutant content in the electrical and electronic devices<br> o Assessment of difficulties that arose during manual dismantling<br> o Non-ferrous metal percentages for the device type at hand</p> <p>- Charge-specific (manual dismantling vs. mechanical shredding):<br> o Percentages of the material fractions plastic, iron, NF metal, aluminum, and residual material<br> (wood, fabric) for both charges (manually dismantled and mechanically shredded)<br> o Economic efficiency analysis of manual dismantling<br> o Ecological comparison of manual dismantling and mechanical shredding<br> o Suggestions for Design for Recycling</p>
Light cues induce transcriptional reprogramming and protective anticipation of environmental water loss in Pseudomonas syringae
GEO Series GSE232095. Pseudomonas syringae pv. syringae B728a. 66 samples. Type: Expression profiling by high throughput sequencing.
microRNA regulation related to the protective effects of environmental enrichment against cocaine-seeking behavior
GEO Series GSE153524. Rattus norvegicus. 12 samples. Type: Expression profiling by array.
Temporal Transcriptomic Analysis of Human Primary Keratinocytes Exposed to β-naphthoflavone Highlights the Protective Efficacy of Skin to Environmental Pollutants
GEO Series GSE143748. Homo sapiens. 6 samples. Type: Expression profiling by array.
DISCOVER-AQ Texas Deployment Environmental Protection Agency (EPA) Ground Site Data
DISCOVERAQ_Texas_Ground_EPA_Data contains data collected by the Environmental Protection Agency (EPA) at various ground sites around the study area, including LaPorte, Smith Point, and Texas Avenue as part of the Texas (Houston) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Texas deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
DISCOVER-AQ Colorado Deployment Environmental Protection Agency (EPA) Ground Site Data
DISCOVERAQ_Colorado_Ground_EPA_Data contains data collected by the Environmental Protection Agency (EPA) at ground sites around the study area, including Chatfield Park, Fort Collins, NREL-Golden, and Denver-I25 as part of the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Denver deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
KORUS-AQ Environmental Protection Agency (EPA) Ground Site Data
KORUSAQ_Ground_EPA_Data are the Environmental Protection Agency (EPA) data collected at various ground sites as part of the KORUS-AQ field campaign. Contained in this dataset are measurements collected by the Teledyne CAPS analyzer, 2B Technologies Ozone Analyzer, Aerodyne QCL, and ceilometer. Data collection for this product is complete.The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments.Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok.The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.
Environmental Protection Agency (EPA) Ocean Survey Vessel (OSV) Bold hypoxia measurements
Measurements made by the OSV Bold for the EPA studying hypoxia in the Gulf of Mexico during 2006 and 2007.
Borehole and environmental protection descriptive and numerical data, Yamal Peninsula, Russia, Version 1
This database of selected borehole records from the Yamal Peninsula, Russia, contains environmental descriptions (textual and numerical) of the units on the index map, and relevant borehole data. The Index Map of Yamal Peninsula (VSEGINGEO-Earth Cryosphere Institute SB RAS; PI - Prof.E.S.Melnikov) was originally compiled at a scale of 1 to 1,000,000, as 'The Map of Natural Complexes of West Siberia for the Purpose of Geocryological Prediction and Planning of Nature-Protection Measures for the Mass Construction, 1 to 1 mln' (1991) by E.S.Melnikov and N.G.Moskalenko (eds.). It was taken as a base map for nature-protection regionalization. Environmental 'regions', 'sub-regions', 'landscapes' and localities' shown on a landscape map are merged into the nature-protection regions. The map was compiled by interpreting more than 1000 satellite images and aerial photos as well as from analysis of field data from several institutions. Dominating components of the landscape, composition of the surface deposits, geocryological conditions and natural protection of ground water were considered while distinguishing the Nature-Protection Regions within the limits of Environmental Regions (Melnikov, 1988). The map is supplied with relevant databases, containing the following information - number of regions and landscape type; category of resiliency; category of the ground water protection; vegetation type; geological and geocryological structure to the depth of 10-15 m; ice content (of lenses and of macro-inclusions separately); thickness of seasonally frozen and seasonally thawed layers; ground temperature; contemporary exogenic geological (periglacial) processes; and the area affected by these processes.The 55 nature-protection regions of Yamal Peninsula generalize information. To approve the ranges of geocryological and cryolithological characteristics, 160 boreholes were retrieved out of the database containing more than 4000 boreholes data obtained in 1977-1990 by Fundamentproekt Design Institute (Moscow, Russia; PI - Dr.sci.M.A.Minkin) at Kharasavey and Bovanenkovo gas fields and along the pipelines Yamal-Ukhta and Yamal-Uzhgorod. The boreholes have reference to geographical coordinates (latitude and longitude), as well as to the nature-protection region numbers shown on the Index Map. A total of 21 units are covered by borehole data, 5-8 boreholes in each unit, covering most typical conditionsThe original database consisted of 3 relational tables. The first table includes category of resiliency; locality type description; landscape type description; ground-ice content, water saturation, cryogenic structure, macro-ground-ice content; vegetation types; seasonally frozen and seasonally thawed layer depths; ground temperature at 10 m; exogenic geological processes an their paragenesis and combinations; and degree of the surface disturbance. The second relational table contains layer-by-layer description of the lithological section types. The third table for the boreholes includes the description of topography around the borehole; types of geological profiles through the active layer and depths down to the permafrost table; ground temperature at 10-m depth (close to the depth of zero annual amplitude in the area); macro-ice content; and salinity of permafrost. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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.