Presentations from MRCSP 2019 partners meeting with overviews of the program, technical work, policies, synergistic projects, the new regional initiative, and next steps.

Das Package beschreibt das Abluftmesssystem Notos zur Messung gasförmiger Emissionen aus Abwasserreinigungsanlagen in zeitlich und räumlich hoher Auflösung . Für die Fassung der Emissionen werden schwimmende Ablufthauben eingesetzt. Das System wurde an der Eawag und der ETH Zürich entwickelt.

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

Tacoma-Pierce County Nonattainment Area (a.k.a. Wapato Hills-Puyallup River Valley PM2.5 Nonattainment Area)

Tacoma-Pierce County Nonattainment Area (a.k.a. Wapato Hills-Puyallup River Valley PM2.5 Nonattainment Area)

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

This report discusses the methodology and results of various types of analyses performed with reservoir pressure and injection rate data data, with the primary objective of characterizing the in-situ permeability of the formation of interest (i.e., reservoir undergoing injection and/or production).

Overview of best practives of MRCSP Phase II geologic sequestration field validation tests addressing public acceptance, evaluation qualified sites, initial characterization, reservoir simulations, permitting, CO2 supply and handling, well design and installation, and monitoring injection operations.

This collection of documents was collected and prepared simultaneously with the geospatial data collection the Carbon Storage Open Database: Morkner, P., Creason, C., Sabbatino, M., Wingo, P., DiGiulio, J., Jones, K., Greenburg, R., Bauer, J., and Rose, K, Carbon Storage Open Database, 7/1/2020, https://edx.netl.doe.gov/dataset/carbon-storage-open-database, DOI: 10.18141/1671320 This submission contains PDF documents and a ReadMe file containing essential metadata to understand provenance of each PDF included in this collection. These PDF documents were collected from public websites, analyzed using natural language processing to organize and classify them into nine topics, then grouped into this EDX submissions based on original Regional Carbon Sequestration Partnership region and subcategorized by topic. Please see the readme file for more information.

Dover 33 and Chester 16 baseline and repeat vertical seismic profile (VSP) data. Please contact NETL's EDX administrator to obtain this data.

A dynamic map service composed of the points representing the Ecology streamflow gages joined to a table containing the previous day's streamflow summary data which is updated via a nightly process from the Hydstra database. All flow data presented for the gaging stations are based on the previous day’s flow. This service was specifically designed to support the Washington Current Streamflow Summary web mapping application.For more information, please email gis@ecy.wa.gov.

Sensor maintenance is time-consuming and is a bottleneck for monitoring on-site wastewater treatment systems. Hence, we compare maintained and unmaintained sensors to monitor the biological performance of a small-scale sequencing batch reactor (SBR). The sensor types are ion-selective pH, optical dissolved oxygen (DO), and oxidation-reduction potential (ORP) with platinum electrode. We created soft sensors using engineered features: ammonium valley for pH, oxidation ramp for DO, and nitrite ramp for the ORP. Four soft sensors based on unmaintained pH sensors correctly identified the completion of the ammonium oxidation (89 to 91 out of 107 cycles), about as many times as soft sensors based on a maintained pH sensor (91 out of 107 cycles). In contrast, the DO soft sensor using data from a maintained sensor showed slightly better (89 out of 96 cycles) detection performance than that using data from two unmaintained sensors (77, respectively 82 out of 96 correct). Furthermore, the DO soft sensor using maintained data is much less sensitive to the optimisation of cut-off frequency and slope tolerance than the soft sensor using unmaintained data. The nitrite ramp provided no useful information on the state of nitrite oxidation, so no comparison of maintained and unmaintained ORP sensors was possible in this case. We identified two hurdles when designing soft sensors for unmaintained sensors: i) Sensors’ type- and design-specific deterioration affects performance. ii) Feature engineering for soft sensors is sensor type specific, and the outcome is strongly influenced by operational parameters such as the aeration rate. In summary, the results with the provided soft sensors show that frequent sensor maintenance is not necessarily needed to monitor the performance of SBRs. Without sensor maintenance monitoring smalls-scale SBRs becomes practicable, which could improve the reliability of unstaffed on-site treatment systems substantially.

Groundwater is a major drinking water resource, but its quality is threatened by a broad variety of anthropogenic micropollutants (MPs), originating from agriculture, industry, or households, and undergoing various transformation processes during subsurface passage. To determine a worst-case impact of pesticide application in agriculture on groundwater quality, a target and suspect screening for more than 300 pesticides and more than 1100 pesticide transformation products (TPs) was performed in 31 Swiss groundwater samples which predominantly originated from areas with intensive agriculture. To assess additional urban contamination sources, more than 250 common urban MPs were quantified. Most of the screened pesticide TPs were experimentally observed by the pesticide producers within the European pesticide registration. To cover very polar pesticide TPs, vacuum-assisted evaporative concentration was used for enrichment, followed by liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). Based on intensity, isotope pattern, retention time, and in silico fragmentation, the suspect hits were prioritised and verified. We identified 22 suspects unequivocally and five tentatively; 13 TPs are reported here for the first time to be detected in groundwater. In 13 out of 31 groundwater samples, the total concentration of the 20 identified and quantified suspects (1 pesticide and 19 pesticide TPs) exceeded the total concentration of the 519 targets (236 pesticides and TPs; 283 urban MPs) for which we screened. Pesticide TPs had higher concentrations than the parent pesticides, illustrating their importance for groundwater quality. The newly identified very polar chlorothalonil TP R471811 was the only compound detected in all samples with concentrations ranging from 3 to 2700 ng/L. Agricultural MP concentration and detection frequency correlated with agricultural land use in the catchment, except for aquifers, where protective top layers reduced MP transport from the surface. In contrast to agricultural MPs, urban MPs displayed almost no correlation with land use. The dominating entry pathway of urban MPs was river bank filtration.

R code for mixed rate control model and first-order model with experimental data set for calibration Experiment I and II.

Insect Strains and Rearing Two field-derived strains of T. castaneum from either Eastern Kansas, collected in 2012, or Riley County, KS, collected in 2019, were used to assess the effect of strain on the behavioral response to necromones. Except where noted, the 2012 field strain was used for each experiment. T. castaneum was reared on a mixture of 95% unbleached flour and 5% brewer’s yeast in an environmental chamber at 27.5ºC, 60% RH, and 14:10 L:D. Subculturing proceeded by adding 75 mixed-sex T. castaneum to a 947-ml mason jar filled two-thirds with mixed diet. Adults were removed after 72 h of oviposition. Mixed sex adults aged 4–8 weeks old were used in all assays. All experiments were performed between the years 2017–2020. Treatments Time of Death of Prior Captures on Behavioral Response For investigating the attraction to kairomone oil based on how long beetles were left in the oil, the following treatments were included: negative control (neg ctrl), 950μL of Trécé Storgard® Kairomone Oil (kairomone oil for the remainder of the manuscript; Adair, OK, USA) only, or 950 μL of kairomone oil plus 25 freshly killed, mixed sex T. castaneum adults aged in the oil for 1, 25, 48, 72, or 96 h. A second round of the beetles aged longer than 8 days was included with the following treatments: negative control (neg ctrl), 950μL of kairomone oil only, or 950 μL of kairomone oil plus 25 freshly killed, mixed sex T. castaneum adults aged in the oil for 8, 9, 10, or 11 d (Table 1). These experiments were performed in a combination of the wind tunnel, release-recapture assay, and two-choice olfactometer (Table 1). Treatments were added to 20 mL GC headspace vials (Gerstel, GmBH, Germany) for wind tunnel assays, while they were added to Trécé Storgard™ Dome® traps in the release-recapture assays. Influence of Density of Prior Captures on Behavioral Response In order to evaluate whether the behavioral response of T. castaneum modulates with different densities of conspecifics in traps, the following treatments for the density response study were used: the same negative control, 950 μl of kairomone oil only, or 950 μl of kairomone oil plus either 4, 10, 20, or 40 mixed sex T. castaneum adults that were allowed to incubate for 24 h or 96 h. These experiments were performed in a combination of the wind tunnel, release-recapture assay, and headspace collection/GC-MS (Table 1). Treatments were added to 20 mL GC headspace vials (Gerstel, GmBH, Germany) for wind tunnel assays, while they were added to Trécé Storgard™ Dome® traps in the release-recapture assays. Effect of Strain on Behavioral Response to Prior Captures To rule out losing the attraction behaviors from laboratory-rearing protocols, a more recent T. castaneum strain was used and tested against the strain from Eastern Kansas collected in 2012. Thus, both a 2012 and 2019 field-collected (from Riley Co., Kansas) population of T. castaneum were tested in these experiments. The treatments for the strain effect consisted of a negative control, kairomone oil only, and 950 μl of kairomone oil plus either 4, 10, 20, or 40 mixed sex T. castaneum adults, which were allowed to incubate for 24 h. Both strains were tested in the wind tunnel and a release-recapture assay (Table 1). Effect of Rancidity on Behavioral Response to Prior Captures We conducted an experiment to test if long-term storage of the kairomone oil may have caused it to become rancid, despite being stored at 4ºC as per the manufacturer’s instructions. Treatments included: 950 μl of the kairomone oil we have used for most of our other experiments (e.g., standard Storgard® kairomone oil, or SSO) only, Storgard® kairomone oil borrowed from a colleague at the Center for Grain and Animal Health Research (CGAHR) (e.g., BSO), corn oil purchased freshly from the market (e.g., CO), or one of each of these treatments + 25 dead T. castaneum (Table 1). Attraction behavior was assessed in the wind tunnel. Assay Methods Wind Tunnel Assay Wind tunnel assays were used to evaluate upwind attraction by T. castaneum to putative necromones (e.g., see Van Winkle et al. 2022 for a description). Briefly, air was generated with a fan (diameter: 36.5 cm) connected to an inlet to the wind tunnel, where the air passed through an activated carbon filter to eliminate impurities from the air, and two successively smaller slatted-metal sieves (73 × 85 cm) to create a laminar airflow, with an average airspeed of 0.38 m/s. A purified, constant, laminar flow of air was pushed over the treatments 13.5 cm upwind of a release arena (21.6 × 27.9 cm). The odor treatments (Table 1) were positioned level with the surface of the release arena in the wind tunnel and were housed in 20 mL glass headspace vials. Caps were removed from the vials when testing commenced. The adults were placed individually in the center of the release arena and were given 2 min to make a decision, including either leaving on the stimulus edge (upwind) or a non-stimulus edge (three other edges). Adults that did not respond within the timeframe were excluded from statistical analysis. Adults were never tested more than once. All treatments were represented equally in a bout of sampling. The trials were performed inside a walk-in environmental chamber at constant conditions (27.5ºC, 60% RH), with air on purge to vent build-up of odors. Behavior was evaluated using a behavioral response index (BRI) as follows: [(T-C)/N]*100, where T is the number of adults in the treatment leaving on the stimulus edge of the arena, C is the equivalent number for the control, and N is the total sample size for both groups. The BRI can vary from 100 (full attraction) to -100 (full repellency). A total of n = 60 replicate individuals were tested, depending on assay, experiment, and treatment. Release-Recapture Assay Prior to release, 100 mixed-sex T. castaneum were settled on an 8 × 8 cm slat of cardboard for 24 h. The cardboard containing the adults was then placed in the center of a walk-in environmental chamber (5 × 6 × 2 m) set at a constant 25°C, 65% RH, and 14:10 L:D. Paper was fully laid and carefully taped on the bottom of the chamber floor to allow for easy mobility by T. castaneum. A standard Trécé Dome Trap™ that held one of each treatment (Table 1) was positioned equidistantly along the chamber’s perimeter and randomized between replicates. After 24 h, trap capture totals were calculated equal to the additional number of T. castaneum found in the trap minus those seeded in the original treatment. Experimental treatments were run simultaneously. A total of n = 8 replicates per treatment and experiment combination were used. Two-Way Olfactometer Trapping To assess preference among stimuli, T. castaneum individuals were evaluated in a two-way olfactometer. The olfactometer arena consisted of a Petri dish (9 × 1.5 cm diameter:height) with two holes drilled through opposite sides of the base at equal distances from the edge and the center of the dish. A filter paper (85 mm diameter), bisected by a faint line, was placed on the surface of the olfactometer so that the holes were on opposite sides of the filter paper (as in Morrison et al. 2020). The putative necromones (Table 1) were placed in separate, smaller Petri dishes (3.5 cm diameter) below the release arena and centered under each hole. The position of the lure and necromones was randomized between each trial. A single adult was placed in the center of the arena and left for 24 h in an environmental chamber at constant conditions (30C, 65% R.H., 14:10 L:D). A total of n = 10 replicates per comparison were performed. The percent of adults choosing each stimulus and becoming trapped in the bottom petri dish was recorded. Headspace Collection Volatiles were collected from traps seeded with 0 (oil only), 4, 20, or 40 dead T. castaneum and aged 24 h or 96 h. Central airflow was first scrubbed with a charcoal filter, then restricted to 1 L/min with flow meters. Airflow was guided through PTFE tubing to 500 mL-capacity headspace glass containers with lids and an inlet for air. The containers also had an outlet with a Porapaq-Q trap that collected volatiles for 3 h. Volatiles were then eluted with 150 µL of dichloromethane. An internal standard of 1 µL of tetradecane was also added prior to being run on the GC-MS according to standard methodology. There were n = 8 replicates per treatment. Gas Chromatography Coupled with Mass Spectrometry All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter, and 0.25 μm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. This was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 μl of each sample under splitless mode into the GC-MS at room temperature (approximately 23°C). The GC program consisted of 40°C for 1 min followed by 10°C/min increases to 300°C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 17 library and by GC retention index. Using the ratio of the peak area for the internal standard to the peak area for the other compounds in the headspace, the emission rates of samples were normalized in ng of volatile per 950 μl aliquot of oil, per μl of solvent, and per h of collection.

The Washington State Department of Ecology has conducted monthly water quality monitoring at hundreds of freshwater and marine water quality stations throughout the state since 1959. Ecology monitors about 80 stations each year, some on a one-year basis, some on a five-year rotation, and some are monitored continuously. This spatial data set shows the location of these monitoring stations.

This is a dataset of the locations of all currently and previously active EMEP air quality monitoring sites.

A dynamic map service composed of the points representing the Ecology streamflow gages joined to a table containing the previous day's streamflow summary data which is updated via a nightly process from the Hydstra database. All flow data presented for the gaging stations are based on the previous day’s flow. This service was specifically designed to support the Washington Current Streamflow Summary web mapping application.For more information, please email gis@ecy.wa.gov.

Metadatabase about biodiversity Monitoring schemes: The EuMon consortium, comprising 16 partners from 11 EU-countries, designed databases and carried out online surveys to provide an overview of monitoring approaches and monitoring organisations in Europe. One database, the PMN database, covers characteristics of organisations that involve volunteers in biodiversity monitoring (see Overview graphs& tables and BioMAT background information) and a second one, called DaEuMon, addresses coverage and methodological aspects of biodiversity monitoring. Both databases are automatically updated with each new entry. BioMAT allows extracting information from the databases to generate graphs and tables or to contact monitoring schemes for particular habitats or species groups. On this page we provide information on DaEuMon. More information on this dataset can be found in the Freshwater Metadatabase - BF39 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF39).

Farming Systems Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Morris, Minnesota Tillage is decreasing globally due to recognized benefits of fuel savings and improved soil health in the absence of disturbance. However, a perceived inability to control weeds effectively and economically hinders no-till adoption in organic production systems in the Upper Midwest, USA. A strip-tillage (ST) strategy was explored as an intermediate approach to reducing fuel use and soil disturbance, and still controlling weeds. An 8-year comparison was made between two tillage approaches, one primarily using ST the other using a combination of conventional plow, disk and chisel tillage [conventional tillage (CT)]. Additionally, two rotation schemes were explored within each tillage system: a 2-year rotation (2y) of corn (Zea mays L.), and soybean (Glycine max [L.] Merr.) with a winter rye (Secale cereale L.) cover crop; and a 4-year rotation (4y) of corn, soybean, spring wheat (Triticum aestivum L.) underseeded with alfalfa (Medicago sativa L.), and a second year of alfalfa. These treatments resulted in comparison of four main management systems CT-2y, CT-4y, ST-2y and ST-4y, which also were managed under fertilized and non-fertilized conditions. Yields, whole system productivity (evaluated with potential gross returns), and weed seed densities (first 4 years) were measured. Across years, yields of corn, soybean and wheat were greater by 34% or more under CT than ST but alfalfa yields were the same. Within tillage strategies, corn yields were the same in 2y and 4y rotations, but soybean yields, only under ST, were 29% lower in the fertilized 4y than 2 yr rotation. In the ST-4y system yields of corn and soybean were the same in fertilized and non-fertilized treatments. Over the entire rotation, system productivity was highest in the fertilized CT-2y system, but the same among fertilized ST-4y, and non-fertilized ST-2y, ST-4y, and CT-4y systems. Over the first 4 years, total weed seed density increased comparatively more under ST than CT, and was negatively correlated to corn yields in fertilized CT systems and soybean yields in the fertilized ST-2y system. These results indicated ST compromised productivity, in part due to insufficient weed control, but also due to reduced nutrient availability. ST and diverse rotations may yet be viable options given that overall productivity of fertilized ST-2y and CT-4y systems was within 70% of that in the fertilized CT-2y system. Closing the yield gap between ST and CT would benefit from future research focused on organic weed and nutrient management, particularly for corn.

Report on the R.E. Burger Plant addressing geologic assessment, seismic surveying, test well drilling and characterization, underground injection control permitting, CO2 supply and delivery system design, tests results and analysis, site closure, and stakeholder outreach.

Final report on the CO2 injection test in the Mt. Simon Formation addressing the objective and scope of the East Bend project, and results of the validation project.

This database contains phytoplankton surveys in France from national monitoring. 3 or 4 campaigns per year and per lake with chlorophyll-a concentrations and specific composition are available. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_83-L-CM (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_83-L-CM).

The files associated with this data archive are time-lapse crosswell seismic, recorded using a source that generated both P- and S-waves, allowing both P and S tomography. Previously published results demonstrated imaging of injected CO2 using this data. Descriptive

This is a comprehensive collection of all original surface and subsurface technical data, as well as various derivative subsurface models, collected from the FutureGen 2.0 project. This collection of data has been vetted for confidential or sensitive documents.

The Healy Collaborative Groundwater Monitoring Network is a statewide well measurement network, with wells measured in a variety of ways (i.e. pressure, acoustic, and manual measurements), as well as compiling data from various regional networks. This is an API link to these well locations and associated data.

Kentucky Groundwater Monitoring Wells

This story map presents historical and contemporary distributions of kelp forests along the Strait of Juan de Fuca in Washington State. Kelp forests are critical to biodiversity because they create unique habitat for many species. Kelp forests are sensitive to many factors, such as climate, animal grazers and pollution. The Washington State Department of Natural Resources (DNR) manages and monitors kelp forests as part of its stewardship responsibilities. Recently, DNR scientists teamed up with scientists from the University of Chicago and Marine Agronomics to study DNR’s long-term monitoring data along the Strait of Juan de Fuca and Outer Coast. This study compared contemporary kelp distribution from the ongoing monitoring with historical kelp distribution from maps summarizing field surveys from 1911-1912.This story map allows you to explore the historical and modern maps that we compared in order to assess changes in kelp abundance over the last century.

Final technical report discussing the project background, the Michigan Basin large scale injection test, regional analyses, and additional studies.

Dover 33 baseline and repeat microseismic data. Please contact NETL's EDX administrator to obtain this data.

A Register of Hydrometric Stations in Ireland.

## There is a [newer version of this dataset](https://doi.org/10.25678/00050C)! The “National Long-term Surveillance of Swiss Rivers” (NADUF) program was initiated in 1972 as a cooperative project between three institutes: + [Federal Office for the Environment (FOEN)](https://www.bafu.admin.ch/bafu/en/home.html) + [Swiss Federal Institute of Aquatic Science and Technology (EAWAG)](https://www.eawag.ch) + [Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)](https://www.wsl.ch/en.html) (since 2003) With the NADUF program, the chemical-physical state of Swiss rivers as well as intermediate-term and long-term changes in concentration are observed. Furthermore, it provides data for scientific studies on biological, chemical and physical processes in river water. The NADUF network serves as a basic data and sampling facility to evaluate the effectiveness of water protection measures and for various scientific projects.

## There is a [newer version](https://doi.org/10.25678/00050C) of this dataset. **There is an [older version of this dataset](https://doi.org/10.25678/0001VP).** The “National Long-term Surveillance of Swiss Rivers” (NADUF) program was initiated in 1972 as a cooperative project between three institutes: + [Federal Office for the Environment (FOEN)](https://www.bafu.admin.ch/bafu/en/home.html) + [Swiss Federal Institute of Aquatic Science and Technology (EAWAG)](https://www.eawag.ch) + [Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)](https://www.wsl.ch/en.html) (since 2003) The following institutes participated later: + [Amt für Umwelt und Energie des Kantons Basel-Stadt (AUE)](https://www.aue.bs.ch) + [Federal Institute of Metrology (METAS)](https://www.metas.ch/metas/en/home.html) With the NADUF program, the chemical-physical state of Swiss rivers as well as intermediate-term and long-term changes in concentration are observed. Furthermore, it provides data for scientific studies on biological, chemical and physical processes in river water. The NADUF network serves as a basic data and sampling facility to evaluate the effectiveness of water protection measures and for various scientific projects.

## There is [a newer version](https://doi.org/10.25678/00050C) of this dataset. **There is [an older version](https://doi.org/10.25678/0002A0) of this dataset.** The “National Long-term Surveillance of Swiss Rivers” (NADUF) program was initiated in 1972 as a cooperative project between three institutes: + [Federal Office for the Environment (FOEN)](https://www.bafu.admin.ch/bafu/en/home.html) + [Swiss Federal Institute of Aquatic Science and Technology (EAWAG)](https://www.eawag.ch) + [Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)](https://www.wsl.ch/en.html) (since 2003) The following institutes participated later: + [Amt für Umwelt und Energie des Kantons Basel-Stadt (AUE)](https://www.aue.bs.ch) + [Federal Institute of Metrology (METAS)](https://www.metas.ch/metas/en/home.html) With the NADUF program, the chemical-physical state of Swiss rivers as well as intermediate-term and long-term changes in concentration are observed. Furthermore, it provides data for scientific studies on biological, chemical and physical processes in river water. The NADUF network serves as a basic data and sampling facility to evaluate the effectiveness of water protection measures and for various scientific projects.

## There is [a newer version](https://doi.org/10.25678/00069G) of this dataset. **There is [an older version](https://doi.org/10.25678/0004AV) of this dataset.** The “National Long-term Surveillance of Swiss Rivers” (NADUF) program was initiated in 1972 as a cooperative project between three institutes: + [Federal Office for the Environment (FOEN)](https://www.bafu.admin.ch/bafu/en/home.html) + [Swiss Federal Institute of Aquatic Science and Technology (EAWAG)](https://www.eawag.ch) + [Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)](https://www.wsl.ch/en.html) (since 2003) The following institutes participated later: + [Amt für Umwelt und Energie des Kantons Basel-Stadt (AUE)](https://www.aue.bs.ch) + [Federal Institute of Metrology (METAS)](https://www.metas.ch/metas/en/home.html) With the NADUF program, the chemical-physical state of Swiss rivers as well as intermediate-term and long-term changes in concentration are observed. Furthermore, it provides data for scientific studies on biological, chemical and physical processes in river water. The NADUF network serves as a basic data and sampling facility to evaluate the effectiveness of water protection measures and for various scientific projects.

Information and data from the Aquifer Mapping Program (AMP) of the New Mexico Bureau of Geology and Mineral Resources.

The Department of Energy Oversight Bureau (DOE-OB) conducts independent environmental monitoring of Department of Energy (DOE) operations in New Mexico and provides transparent, unbiased, and publicly available information to the citizens of New Mexico.

NCEI offers several types of climate information generated from examination of the data in the archives. These types of information include record temperatures, record precipitation and snowfall, climate extremes statistics, and other derived climate products.

National monitoring data on fish in compliance with the WFD for the year 2007. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_99-R-N (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_99-R-N).

This map service includes seagrass presence from underwater surveys in the marine nearshore of greater Puget Sound. The surveys are made with underwater video as part of a monitoring program conducted by the Washington Department of Natural Resources. Attributes describe the seagrass species classified at each point along the linear survey with a nominal spacing between points of approximately 1 meter. The map service currently serves 2000-2015 data. More recent data (2000-2017) is available for download.

Vertical Seismic Profile data collected in 2009 and 2010 as part of SECARB Phase III Early Test at Cranfield oilfield in Mississippi to determine CO2 induced change from seismic response. Data divided into 3D VSP and Offset VSP folders. Associated Publications: Daley, T. M., Hendrickson, J., & Queen, J. H. (2014). Monitoring CO2 Storage at Cranfield, Mississippi with Time-Lapse Offset VSP – Using Integration and Modeling to Reduce Uncertainty. Energy Procedia, 63, 4240-4248. doi:10.1016/j.egypro.2014.11.459

Borehole gravity measurements obtained during the SECARB project at the Cranfield oil site in Mississippi from CFU31-F2 and CFU31-F3 wells. Data was used to calculate density changes within the Cranfield reservoir and to test borehole gravity performance compared to a variety of other methods for monitoring the injected CO2 plume. Associated Publications: Dodds, K., Krahenbuhl, R., Reitz, A., Li, Y., Hovorka, S. D., 2013, Evaluation of time lapse borehole gravity for CO2 plume detection SECARB Cranfield: International Journal of Greenhouse Gas Control.

Distributed Temperature Sensing data files collected during the SECARB project from Detailed Area of Study wells (CFU F-1, F-2, F-3) at Cranfield oil site in Mississippi. Associated Publications: Nuñez-López, V., Muñoz-Torres, J., and Zeidouni, M., 2014, Temperature monitoring using distributed temperature sensing (DTS) technology: Energy Procedia, v. 63, p. 3984–3991, doi:10.1016/j.egypro.2014.11.428.

Electrical Resistance Tomography Data collected as part of SECARB project at Cranfield oil site in Mississippi. Associated Publications: Carrigan, C.R., Yang, X., LaBrecque, D.J., Larsen, D., Freeman, D., Ramirez, A.L., Daily, W., Aines, R., Newmark, R., Friedmann, S. J., Hovorka, S., 2013. Electrical resistivity tomographic monitoring of CO2 movement in deep geologic reservoirs. Int. J. of Greenhouse Gas Control, 18, 401-408. Yang, X., Chen, X., Carrigan, C.R. & Ramirez, A.L., 2014. Uncertainty quantification of CO2 saturation estimated from electrical resistance tomography data at the Cranfield site, Int J Greenh Gas Con, 27, 59-68.

Hydrotest, gas composition, injection fluid, mass spectrometer, and U-tube gas sample analysis data gathered during SECARB project at Cranfield oil site in Mississippi. Geochemical data collected as part of geologic characterization phase of SECARB. Associated Publications: Lu, J., Cook, P. J., Hosseini, S. A., Yang, C., Romanak, K. D., Zhang, T., Freifeld, B. M., Smyth, R. C., Zeng, H., and Hovorka, S. D., 2012, Complex fluid flow revealed by monitoring CO2 injection in a fluvial formation: Journal of Geophysical Research, v. 117, B03208, doi:10.1029/2011JB008939. Lu, J., Kharaka, Y. K., Thordsen, J. J., Horita, J., Karamalidis, A., Griffith, C., Hakala, J. A., Ambats, G., Cole, D. R., Phelps, T. J., Manning, M. A., Cook, P. J., and Hovorka, S. D., 2012, CO2‒rock‒brine interactions in Lower Tuscaloosa Formation at Cranfield CO2 sequestration site, Mississippi, U.S.A.: Chemical Geology, v. 291, p. 269‒277. Yang, C., Hovorka, S. D., Treviño, R. H., and Delgado-Alonso, J., 2015, Integrated framework for assessing impacts of CO2 leakage on groundwater quality and monitoring-network efficiency: case study at a CO2 enhanced oil recovery site: Environmental Science &Technology, v. 49, p. 8887–8898, doi:10.1021/acs.est.5b01574.

Bottom-hole, above zone monitoring interval, and injection zone pressure data collected during the SECARB project in Cranfield, Mississippi to assess the relationship between pressure field and multiphase field. Submission includes 10-second interval data from Detailed Area of Study wells: CFU31-F1 (injector), CFU31-F2 (observation), CFU31-F3 (observation) and Ella G Lees no. 7 (observation) well located west of the DAS. Associated Publications: Joy, C. A., 2011, The effects of pressure variation and chemical reactions on the elasticity of the lower Tuscaloosa sandstone of the Cranfield Field Mississippi, The University of Texas at Austin, Master’s thesis, 97 p. Kim, S., and Hosseini, S. A., 2013, Above-zone pressure monitoring and geomechanical analysis of a field scale CO2 injection, Cranfield Mississippi, Greenhouse Gases: Science and Technology, doi:10.1002/ghg.1388. Kim, S., and Hosseini, S. A., 2017, Study on the ratio of pore-pressure/stress changes during fluid injection and its implications for CO2 geologic storage: Journal of Petroleum Science and Engineering, v. 149, p. 138-150, doi:10.1016/j.petrol.2016.10.037. Mathias, S. A., Gluyas, J. G., Gonzalez Martinez de Miguel, G. J., and Hosseini, S. A., 2011, Role of partial miscibility on pressure buildup due to constant rate injection of CO2 into closed and open brine aquifers: Water Resources Research, v. 47, W12525, 11 p., doi:10.1029/2011WR011051. Meckel, T. A., Zeidouni, M., Hovorka, S. D., and Hosseini, S.A., 2013, Assessing sensitivity to well leakage from three years of continuous reservoir pressure monitoring during CO2 injection at Cranfield, MS, USA: International Journal of Greenhouse Gas Control, [insert volume no., page numbers], doi:10.1016/j.ijggc.2013.01.019. Nicot, J.-P., Oldenburg, C. M., Bryant, S. L., and Hovorka, S. D., 2009, Pressure perturbations from geologic carbon sequestration: area-of-review boundaries and borehole leakage driving forces, in Energy Procedia (v. 1, no.1), Proceedings of 9th International Conference on Greenhouse Gas Control Technologies, GHGT9, 16–20 November, Washington DC, p. 47–54. Tao, Q., Bryant, S. L., and Meckel, T. A., 2013, Modeling above-zone measurements of pressure and temperature for monitoring CCS sites: International Journal of Greenhouse Gas Control, v. 18, p. 523–530, doi:10.1016/j.ijggc.2012.08.011.

The goal of the Dover 33 VSP study was to test the effectiveness of time-lapse VSP for detecting and delineating a plume of more than 271,000 tonnes of CO2 injected into the Brown Niagaran and A-1 Carbonate formations within the Dover 33 reef between March 2013 and September 2016. Five 2D walkaway VSP (WVSP) source lines were acquired by SIGMA3 in September 2016 to investigate the possible time-lapse response in both P-wave and PS-wave seismic data. The data was compared to the same survey geometry acquired in March 2013 by SR2020.

This story map describes seagrass monitoring at Dumas Bay conducted since 2008 by the Washington State Department of Natural Resources. This research uses an ecological monitoring protocol, designed by SeagrassNet, to detect fine scale changes in local seagrass resources.SeagrassNet is a global seagrass monitoring network that investigates the status of seagrass populations and the threats that affect these critical resources. The SeagrassNet program began in 2001 in the Western Pacific and now includes 126 sites in 33 countries with a global monitoring protocol and web-based data reporting system.More information on SeagrassNet monitoring at: seagrassnet.org

A dynamic map service composed of the points representing the Ecology streamflow gages joined to a table containing the previous day's streamflow summary data which is updated via a nightly process from the Hydstra database. All flow data presented for the gaging stations are based on the previous day’s flow. This service was specifically designed to support the Washington Current Streamflow Summary web mapping application.For more information, please email gis@ecy.wa.gov.