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Articles 1 - 30 of 95
Full-Text Articles in Physical Sciences and Mathematics
Lake Water Chemistry And Local Adaptation Shape Nacl Toxicity In Daphnia Ambigua, Mary Alta Rogalski, Elizabeth S. Baker, Clara M. Benadon
Lake Water Chemistry And Local Adaptation Shape Nacl Toxicity In Daphnia Ambigua, Mary Alta Rogalski, Elizabeth S. Baker, Clara M. Benadon
Biology Faculty Publications
Increasing application of road deicing agents (e.g., NaCl) has caused widespread salinization of freshwater environments. Chronic exposure to toxic NaCl levels can impact freshwater biota at genome to ecosystem scales, yet the degree of harm caused by road salt pollution is likely to vary among habitats and populations. The background ion chemistry of freshwater environments may strongly impact NaCl toxicity, with greater harm occurring in ion-poor, soft water conditions. In addition, populations exposed to salinization may evolve increased NaCl tolerance. Notably, if organisms are adapted to their natal lake water chemistry, toxicity responses may also vary among populations in a …
Dataset: Marsh Migration Methodology Development For Wetland Restoration Targeting, Molly Mitchell, Karinna Nunez, Christine Tombleson, Julie Herman
Dataset: Marsh Migration Methodology Development For Wetland Restoration Targeting, Molly Mitchell, Karinna Nunez, Christine Tombleson, Julie Herman
Data
Coastal marsh loss is a significant issue globally, due in part to rising sea levels and high levels of coastal human activity. Marshes have natural mechanisms to allow them to adapt to rising sea levels, however, migration across the landscape is one of those mechanisms and is frequently in conflict with human use of the shoreline. Ensuring the persistence of marshes into the future requires an understanding of where marshes are likely to migrate under sea level rise and targeting those areas for conservation and preservation activities. The goal of this project was to 1) compile existing datasets and information …
Elizabeth River Basin Environmental Justice Indicators, Molly Mitchell, Andrew M. Scheld, Sarah Stafford, Tamia Rudnicky, Joseph Snitzer
Elizabeth River Basin Environmental Justice Indicators, Molly Mitchell, Andrew M. Scheld, Sarah Stafford, Tamia Rudnicky, Joseph Snitzer
Data
This data is a portion of the data included in the Elizabeth River Environmental Justice Tool (https://cmap22.vims.edu/EREJTool/) The Elizabeth River Environmental Justice map viewer contains a variety of layers that will help planners target vulnerable locations and populations within the Elizabeth River Watershed. This data was developed specifically to support the Elizabeth River Project’s decision making in this region.
Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022, Pioneer Technical Services, Inc.
Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2022, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Final 2021 Unreclaimed Sites Sampling Ur-40 Site Evaluation Summary Report, Pioneer Technical Services, Inc.
Final 2021 Unreclaimed Sites Sampling Ur-40 Site Evaluation Summary Report, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2021, Pioneer Technical Services, Inc.
Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2021, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Gis Data: Charles County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Gis Data: Charles County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:
1) the …
Gis Data: Worcester County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Gis Data: Worcester County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions: 1) the …
Gis Data: St Mary’S County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Gis Data: St Mary’S County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:
1) the …
Gis Data: Somerset County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Gis Data: Somerset County, Maryland – Shoreline Inventory Data 2021, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions: 1) the …
Attachments To Reports Generated April 2022, Atlantic Richfield Company, Environmental Protection Agency, Trec Inc., A Woodard And Curran Company
Attachments To Reports Generated April 2022, Atlantic Richfield Company, Environmental Protection Agency, Trec Inc., A Woodard And Curran Company
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Coastal Virginia Flooding Duration Maps Current And Projected For 2020, 2050 And 2100, Molly Mitchell, Daniel Schatt, Jessica Hendricks
Coastal Virginia Flooding Duration Maps Current And Projected For 2020, 2050 And 2100, Molly Mitchell, Daniel Schatt, Jessica Hendricks
Data
Geospatial layers displaying annual flooding duration in the coastal zone of Virginia. These were generated from publicly available historical hourly tidal data from the NOAA Tides and Currents website from various tide gauges in the Chesapeake Bay region for the last 20 years. Particular tide gauges were linked to specific localities depending on location. The data was processed to determine average annual flooding duration at various flooding levels. Flood levels corresponding to specified average annual duration levels were then determined and used with lidar-derived digital elevation models to extract flood areas corresponding to the specified ranges of flood duration. Specifically, …
First Quarter Data Sheets - Event Log, Chem Dump, Field Dump, Etc., Atlantic Richfield Company
First Quarter Data Sheets - Event Log, Chem Dump, Field Dump, Etc., Atlantic Richfield Company
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Coastal Natural And Nature-Based Features (Nnbfs) Ranked: Co-Benefits For Coastal Buildings And Target Areas For The Creation Of New Or Restoration Of Nnbfs In Coastal Virginia, Pamela Mason, Jessica Hendricks, Julie Herman
Coastal Natural And Nature-Based Features (Nnbfs) Ranked: Co-Benefits For Coastal Buildings And Target Areas For The Creation Of New Or Restoration Of Nnbfs In Coastal Virginia, Pamela Mason, Jessica Hendricks, Julie Herman
Data
Community resilience to storm-driven coastal flooding is improved with the presence of natural and nature-based features (NNBFs) such as wetlands, wooded areas, living shorelines, and beaches. These natural and created features can provide multiple benefits for a local community, including mitigating the impacts of storm surge and sea-level rise and allowing communities to take advantage of programmatic incentive programs like FEMA’s Community Rating System and nutrient reduction crediting.
As part of a NOAA-funded project NA17NOS4730142, an exportable geospatial protocol and NNBF ranking methodology was developed with the goal of incentivizing the protection and creation of NNBFs across Chesapeake Bay localities …
Assessment Of The Fluoride Concentration In Drinking Water And Tea In The Arusha Region Of Tanzania, Sophia Bakar, David Kahler, Alanna Bachtlin, Kara Okular, Kathleen Glancey, Abbey Whitewood
Assessment Of The Fluoride Concentration In Drinking Water And Tea In The Arusha Region Of Tanzania, Sophia Bakar, David Kahler, Alanna Bachtlin, Kara Okular, Kathleen Glancey, Abbey Whitewood
Environmental Science Datasets
High fluoride concentrations in drinking water affect millions of people around the world; however, fluoride can come from several sources. The World Health Organization recommends a fluoride concentration in drinking water of no more than 1.5 mg/L; fluoride above this concentration can cause long-term problems known as fluorosis, such as mottled teeth and increased risk of dental caries, or skeletal deformities. Rural communities near Arusha, Tanzania have high fluoride concentrations in their water. Adults and children of the Arusha Region rely heavily on tea for daily water consumption, which has the benefit of disinfection by boiling. Researchers investigated water quality, …
Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:
1) the immediate …
Coastal Virginia Social Vulnerability Index At The Block Group Level, Sarah Stafford, Schyler Vander Schaaf
Coastal Virginia Social Vulnerability Index At The Block Group Level, Sarah Stafford, Schyler Vander Schaaf
Data
Following other social vulnerability indexes, including the SoVI® developed by the Hazards & Vulnerability Research Institute at the University of South Carolina, this vulnerability index is based on a principal component analysis (PCA). PCA is a statistical technique that takes as its input a matrix of interrelated socioeconomic variables – in this case those considered to measure various dimensions of social vulnerability – and creates a new set of orthogonal principal components that extract the important variation the underlying input data while reducing the noise and redundancy in the data. After conducting the PCA, the researcher combines the newly created …
Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:
1) the immediate …
Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:
1) the immediate …
Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi
Data
The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.
The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:
1) the immediate …
Mink Frog (Lithobates Septentrionalis), Jennifer Smetzer, Toni Lyn Morelli
Mink Frog (Lithobates Septentrionalis), Jennifer Smetzer, Toni Lyn Morelli
Second Century Stewardship Refugia Products
No abstract provided.
Northern White Cedar (Thuja Occidentalis), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Northern White Cedar (Thuja Occidentalis), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Balsam Fir (Abies Balsamea), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Balsam Fir (Abies Balsamea), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Paper Birch (Betula Papyrifera), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Paper Birch (Betula Papyrifera), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Red Spruce (Picea Rubens), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Red Spruce (Picea Rubens), Matthew J. Duveneck, Jonathan R. Thompson, Jennifer Smetzer
Duveneck & Thompson Tree Refugia Products
No abstract provided.
Virginia Non-Tidal Wetland Condition Assessment 2016, Tamia Rudnicky, Kirk J. Havens, Michelle Henicheck, Dave Davis, Kory Angstadt, David Stanhope
Virginia Non-Tidal Wetland Condition Assessment 2016, Tamia Rudnicky, Kirk J. Havens, Michelle Henicheck, Dave Davis, Kory Angstadt, David Stanhope
Data
This data set is a GIS-based landscape (Level one) assessment of the water quality and habitat benefits of non-tidal wetlands from the National Wetlands Inventory (NWI) in Virginia utilizing the 2016 National Land Cover Dataset (NLCD) and 2016 Tiger/Line roads. The model assessment uses remote sensing and GIS technology to characterize land use patterns and features around wetlands such as surrounding land cover and density of roads as well as individual wetland characteristics such as wetland size and type to determine the wetlands overall condition as related to habitat and water quality functions. The water quality analysis determines the percentages …
Conductivity, Temperature, And Depth (Ctd) Data For Deepend Stations, Cruise Dp05, May 2017, David English, Chuanmin Hu, April Cook, Tracey Sutton
Conductivity, Temperature, And Depth (Ctd) Data For Deepend Stations, Cruise Dp05, May 2017, David English, Chuanmin Hu, April Cook, Tracey Sutton
DEEPEND Datasets
Conductivity, temperature, and depth data from the ship's CTD, which was deployed at each of the DEEPEND stations. Depth of cast was variable, but extended from near-surface waters to below the euphotic zone. This data also includes measurements from a red light transmissometer, a chlorophyll fluorometer, and a dissolved oxygen sensor. The data is used in the assessment of the water column's vertical structure, and for comparison with physical models. Data were collected in the northern Gulf of Mexico from May 2-12, 2017.
Conductivity, Temperature And Depth (Ctd) Data For Deepend Stations, Cruise Dp03, May 2016, David English, Chuanmin Hu, April Cook, Tracey Sutton
Conductivity, Temperature And Depth (Ctd) Data For Deepend Stations, Cruise Dp03, May 2016, David English, Chuanmin Hu, April Cook, Tracey Sutton
DEEPEND Datasets
Conductivity, temperature and depth data from the ship's CTD, which is deployed at each of the DEEPEND stations. Depth of cast is variable, but extends from near-surface waters to below the euphotic zone. This data is used in the assessment of the water column's vertical structure, and for comparison with physical models. Data were collected during cruise DP03 in the northern Gulf of Mexico, May 2016.
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp03 And Dp04 From April - August 2016, Cole Easson, Lindsey Freed
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp03 And Dp04 From April - August 2016, Cole Easson, Lindsey Freed
DEEPEND Datasets
Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during planned DEEPEND cruise expeditions to the GOM in 2016. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable regions were generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Raw paired-end sequences were joined and quality filtered in the bioinformatics program, QIIME. Vertical baseline characterizations will track alpha and beta diversity at different depths ranging from 0 – 1500 m, assess seasonal …
Mitochondrial Dna Sequence Alignments And Raw Fastq Files For The Population Genetic Analysis Of The Deep Sea Isopod, Bathynomus Giganteus, Laura Timm, Barbara Moahamed
Mitochondrial Dna Sequence Alignments And Raw Fastq Files For The Population Genetic Analysis Of The Deep Sea Isopod, Bathynomus Giganteus, Laura Timm, Barbara Moahamed
DEEPEND Datasets
This data set includes three alignments (12S, 16S, COI) of mitochondrial DNA sequences, as well as two raw fastq files generated through the next-generation sequencing (NGS) method ddRADseq. This data was collected from Bathynomus giganteus specimens collected from throughout the northeastern Gulf of Mexico.