dmr/DMR_MCMI_Bathymetry

“Wet storage” means the temporary storage of shellstock from shellfish growing areas in the approved classification or in the open status of the conditionally approved classification. Shellstock can be stored in containers or floats in natural bodies of water or in tanks containing natural or synthetic seawater.For more information, see Chapter 15 of DMR rule.

This is a continually updated dataset. To see the last updated date, please visit the MaineDMR Map PageContains the geographic locations of marine limited purpose aquaculture (LPA) lease sites along the coast of Maine. Details regarding lease specific culture activities and contact information are included. See http://www.maine.gov/dmr/aquaculture/index.html for more information.

HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

To conserve and provide for effective management of unique mussel areas, seed mussel conservation areas will be designated by the Department of Marine Resources. These areas will be selected based upon several considerations, to include either singly or in combination but not limited to: geographic extent, density, population size distribution, extent subject to winter mortality, and condition.Full descriptions of these areas are described in Chapter 12.06 of Maine DMR rule as well as in the attributes of the GIS data.

NOTE: This is a dynamic dataset. Closures can change at anytime. This map data is not to be used for legal determination of open/closed status. For current shellfish closures, consult http://www.maine.gov/dmr/shellfish-sanitation-management/closures/index.htmlThe DMR Shellfish Growing Area Classification Program classifies shellfish areas based on the results of a shoreline survey and fecal coliform testing. During a shoreline survey, DMR staff look for the presence of pollution sources. Once the information is compiled, each growing is classified as either Approved, Conditionally Approved, Restricted, Conditionally Restricted or Prohibited using standards set by the National Shellfish Sanitation Program (NSSP), a federal/state cooperative program that sets the requirements for all states involved in interstate shellfish harvest and sale. For more information about the classification of shellfish flats, visit http://www.maine.gov/dmr/rm/public_health/howclassified.htm. This dataset contains the classification for all growing areas within the state of Maine. The boundary lines for each polygon are directly described in the pollution area notices, which can be viewed at http://www.maine.gov/dmr/shellfish-sanitation-management/closures/pollution.html.Data projection is NAD 1983 UTM Zone 19N.

Observations from the Western Gulf of Maine

Head of Tide data has been screen digitized with reference to Bill Hinkley's 1974 River Sampling Station description guide, USGS zero contour data, as well as salinty sampling results from the Maine Department of Environmental Protection and the Maine Department of Marine Resources. Data points may represent known or approximate Head of Tide location based on hydraulic activity, environmental sampling data, and/or zero contour data. Data is considered to be dynamic in a small degree due to land use, natural evolution, and human activities. Data is also subject to changes, updates, and revisons. Field Data Attribute info:HTtypeHS = based on sality and hydrological dataSAL = based on salinty samplingHYD = based on hydraulic information or dataEL = Enforcement Location Head of Tide for DMR & IF&WHTnotesSWQ = Staute Water Quality (can be arbritrary)RSS Hinckley 1974 = excerpt from Hinckley's 1974 River Sampling Station descriptionsZC = based on USGS zero contour data* note that an individual point may have one or more notes associated with itHTLocation:Completed where there is a noteable physical attribute associated with the point locationMisc Informaiton - Enforcement Location DescriptionsDMR and IFW are in agreement as to the location of head of tide on the Kennebec for enforcement purposes.DMR references head of tide as this:Due to the removal of Edwards dam, the “head of tide” in the Kennebec River is now at the downstream side of the power line located approximately 4,200 feet upstream of the Calumet Bridge at Old Fort Western in Augusta (formerly the Father Curran Bridge) for enforcement purposes.IFW references head of tide as this:From the downstream side of the Lockwood Dam to the downstream side of the power lines located about 4,200 feet above the Calumet Bridge in Augusta (head of tidewater):

Measurements taken in the Gulf of Maine in 2008.

Measurements of optics from the Gulf of Maine region spanning 1979 to 1996.

HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

Measurements made in the Gulf of Maine between 2005 and 2007.

NCALM Project. Noah Snyder, Boston College. The survey areas are three irregular polygons containing the watersheds of three rivers in Maine: the Sheepscot, Narragaugus, and Pleasant. These areas were flown in thirteen survey flights beginning on October 31, 2007 and were completed on November 11, 2007. Data were collected to investigate land use, geologic and climatic controls on stream processes in northern New England.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

Measurements taken along the Massachusetts and Maine coastal regions in 2007.

Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level.

Published Data Descriptor for more information: Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6

Additional publications using and describing data: Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98:e01661-23.https://doi.org/10.1128/jvi.01661-23

Belser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. doi: https://doi.org/10.1242/dmm.050511

Kieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0

Measurements made in the Gulf of Maine in 2007 under the BIODIVERSITY program.

Available DataThe Boothbay Harbor (BBH) Sea Water Temperature Record, extending over more than a century, constitutes one of the longest running, continuous series of sea temperature observations for any point on the North American Atlantic Coast. Observations began in March 1905 and have continued, with minimal interruption, to the present day.Currently, observations of air temperature, barometric pressure, sea surface temperature, relative humidity, wind speed and wind direction are recorded at daily intervals.Sea surface temperature data can be downloaded on the DMR Open Data site.Please contact Jesica Waller for more information.Station HistoryIn 1905, the U.S. Bureau of Commercial Fisheries began the Environmental Monitoring Program at the fish hatchery in Boothbay Harbor. Air and sea surface temperatures were recorded three times daily from 1905 until 1949, when instruments were installed and data were recorded continuously on strip charts. Environmental observations were expanded in the 1960's to include other physical oceanographic and meteorological variables in addition to temperature. In 1973, the program was transferred to the Maine Department of Marine Resources and computerized data collection, processing, and storage began in 1986. Sensors for air temperature, sea surface and bottom temperature, relative humidity, and tide height as well as datalogger hardware and software were installed in 1996. The system was upgraded again in the summer of 2012. Currently, observations of air temperature, barometric pressure, sea surface temperature, relative humidity, wind speed and wind direction are recorded daily intervals. All data are provided upon request to the public, news media, and university and government researchers.Station DescriptionThe Environmental Monitoring Program is operated by the Maine Department of Marine Resources with the goal of maintaining a continuous source of high-quality physical environmental data for the Maine coast. The station is located at the Department's Fisheries Laboratory in West Boothbay Harbor, Maine (43°50'40" N, 69°38'30" W). All of the station's sensors are deployed at or near the laboratory pier in a sheltered cove on the west side of Boothbay Harbor. The main harbor is very sheltered and the cove is more so. Wave heights during a severe storm may reach three or four feet in the main harbor but rarely reach even two feet in the cove. Mean tide range has been calculated by the National Ocean Service at 8.8 feet and the spring tide range is given as 10.1 feet. While the harbor typically remains open throughout the year, the cove often develops a thin layer of ice which would extend from shore to shore if it weren't broken up by the passage of various small vessels. Freshwater influences within the harbor consist of a few small streams which provide drainage for the immediate area. Two larger rivers, the Sheepscot to the southwest and the Damariscotta to the northeast, are nearby.The sea surface temperature sensor is located at -5.5 feet MLW (relative to mean low water). Air temperature and relative humidity sensors are mounted on the dock in a down-looking radiation shield. Wind speed/direction are tower mounted on the dock approximately 30 feet above sea level. However, both the eastern and western horizons are obscured slightly by the Boothbay Harbor Laboratory and trees.Statistics ReportedSeveral statistics are calculated and stored in the Department’s database. Daily minimum, maximum and average readings for air temperature, sea surface temperature, wind speed and barometric pressure are stored. Wind direction and relative humidity are also stored.

Original provider: University of Maine

Dataset credits: NOAA Northeast Fisheries Science Center James Gilbert, University of Maine Wendy Dow, Duke University

Abstract: Seal populations in the northwest Atlantic are thriving, yet few grant dollars go to seal projects in the northeast region. According to many researchers and managers in the region, the healthy state of stocks is exactly why we should be studying seals. Seal and human activities along the coast often result in conflicts, which will undoubtedly increase as the population and range of both seals and humans increase. The east coast of the United States lacks a management plan for seals. A problem that seriously impedes management is that managers do not know where the seals are and more specifically, where haul-out sites are. This atlas is designed to aid managers and researchers in the management and conservation of seals in the northwest Atlantic. The atlas and the data used to create the atlas can be accessed through OBIS-SEAMAP.

Purpose: The purpose of this dataset and atlas is to provide data from a series of aerial surveys conducted between 1981 and 2001 of harbor and gray seal haul-out sites in Maine.

Supplemental information: The original data were transposed so that each record represents seals abundance at a single ledge on a single day. As this dataset is a time-series, an appropriate way to represent it is to show it with time-series charts by region. Currently, OBIS-SEAMAP lets you see it on Google Earth with the charts. Not all seasons are represented in this dataset, and distributions of seals may be different in other seasons. Lack of a count for a ledge on a particular date does not necessarily mean the ledge was not observed.

This dataset contains ice phenology for 58 lakes in Maine, USA between winter 2002/2003 and 2017/2018 from the Lake Stewards of Maine Volunteer Lake Monitoring Program, Maine Department of Environmental Protection, and the Auburn Water District/Lewiston Water Division. Ice-off data in this dataset are available for all 58 lakes, ice-on data are available for 13 lakes. These data are a subset of all ice phenology data available from each of the data sources. Lakes had at least four years of ice phenology data and each lake is at least 3 km2 to facilitate the pairing of MODIS temperature data.

This data set includes estimates of aboveground biomass (AGB) in 2012 from the Penobscot Experimental Forest (PEF) in Bradley, Maine. The AGB was modeled using LiDAR data gathered with the LiDAR Hyperspectral and Thermal Imager (G-LiHT) operated by Goddard Space Flight Center and field inventory data from 604 permanent Forest Inventory and Analysis (FIA) plots within the PEF. The estimates were produced through a novel modeling approach that accommodates temporal misalignment between field measurements and remotely sensed data by including multiple time-indexed measurements at plot locations to estimate changes in AGB.