During the attack on Pearl Harbor on December 7, 1941, a total of three U.S. ships were destroyed beyond repair, and a further 16 were damaged in some capacity. This was in addition to more than 120 damaged or destroyed Navy Aircraft, and over 2,000 Navy personnel deaths. The sinking of the U.S.S. Arizona battleship alone resulted in the deaths of almost half of all U.S. citizens killed in the attack.

One goal of the attack was to try and destroy the three U.S. aircraft carriers stationed at Pearl Harbor, however all three were at sea performing maneuver drills at the time of the attack. This was seen as one consolation at the time, but proved to be a foundation of the U.S. response in the Pacific.

Original provider: HDR Environmental, Operations and Construction, Inc.

Dataset credits: The U.S. Navy Marine Species Monitoring Program

Abstract: A combination of visual line-transect survey, photo-identification (photo-ID), and automated acoustic monitoring methods was used to gather important baseline information on the occurrence, distribution, and density of marine mammals near Naval Station Norfolk (NSN) and adjacent areas. The study area was designed to cover areas where United States Navy activity is substantial, including Chesapeake Bay waters near NSN and Joint Expeditionary Base Little Creek-Fort Story, as well as a Mine Exercise (MINEX) Area (W-50) in the Atlantic Ocean off the coast of Virginia Beach, Virginia. Sixty-one line-transect surveys were completed in two zones (INSHORE and MINEX) between August 2012 and August 2015, with 6,550 kilometers (km) and 349.6 hours completed on-effort. The majority of sightings were of bottlenose dolphins (Tursiops truncatus), although humpback whales (Megaptera novaeangliae), harbor porpoises (Phocoena phocoena), and short-beaked common dolphins (Delphinus delphis) were also sighted in the study area on occasion. In addition, loggerhead sea turtles (Caretta caretta), leatherback sea turtles (Dermochelys coriacea), and a Kemp’s ridley sea turtle (Lepidochelys kempii) were sighted during surveys. Conventional line-transect analysis of bottlenose dolphin sightings showed both spatial and seasonal variation in density and abundance, with greatest density in the INSHORE zone during fall months. Densities in the INSHORE zone were calculated as 3.88 individuals per square kilometer (km2) (abundance[N]=1,203) in fall, 0.63 individuals per km2 (N=195) in winter, 1.00 individuals per km2 (N=311) in spring, and 3.55 individuals per km2 (N=1,101) in summer. Densities in the MINEX zone were calculated as 2.14 individuals per km2 (N=1,277) in fall, 0.06 individuals per km2 (N=37) in winter, 1.53 individuals per km2 (N=913) in spring, and 1.39 individuals per km2 (N=829) in summer. Twenty-seven photo-ID surveys were completed, and a photo-ID catalog was created using photos taken during both dedicated photo-ID and line-transect surveys through May 2014; it contains 878 identified individuals to date. Subsequent photos will continue to be added and analyzed. One hundred ten individuals were re-sighted; however, most re-sightings were less than 4 months and 30 km apart. Additional survey effort and further analysis will be required before any clear movement patterns can be determined. C-POD acoustic data-loggers were initially deployed at four sites throughout the study area to cover areas of high United States Navy activity. Bottlenose dolphins were detected in each deployment location during all deployments from August 2012 to December 2015. Though deployments did not provide consistent coverage in all seasons for all sites due to loss of gear, results from two deployment sites nearest to NSN showed a greater level of occurrence during fall months, and a diel pattern of occurrence with increased detections during nighttime hours for three deployment sites.

Purpose: The HDR Marine Species Monitoring (MSM) Team was tasked to initiate a monitoring project in coastal waters around NSN, JEB-LC, JEB-FS, and the Virginia Beach waterfront, including the VACAPES MINEX W-50 training area. The main objective is to provide quantitative data and information on the seasonal occurrence, distribution, and density of marine mammals. Effort was dedicated to working with local researchers and employing proven marine mammal monitoring and research techniques to accomplish the following:

1. Conduct monthly systematic line-transect surveys to determine distribution of marine mammals in the vicinity of NSN, JEB-LC, JEB-FS, and the MINEX W-50 area.

2. Conduct monthly photo-identification (photo-ID) surveys during summer months to determine the site fidelity and distributional patterns of marine mammals utilizing the areas listed above.

3. Supplement visual surveys by deploying and retrieving four C-POD acoustic recording devices to monitor for dolphin echolocation clicks in specific locations.

Supplemental information: [2019-08-26] New data were appended and some columns with empty values were removed. The dataset name is changed by dropping the time period part.

Off-effort segments with the time span longer than 5 minutes or speed larger than 200km/h were deleted.

[2015-03-24] A few records had a wrong animal count of zero. The value is replaced with a blank representing species presence only.

[2014-11-25] Attributes were reorganized so that they meet provider's data schema and effort data (tracklines) were added.

This dataset includes a subset of the data collection for the Norfolk-VABeach Vessel surveys. Other data of the collection are available in the following datasets: Norfolk/VA Beach MINEX Vessel Surveys Norfolk/VA Beach Photo-ID Surveys Aug 2012-Sep 2013

All the US Navy-funded survey datasets are found in the OBIS-SEAMAP US Navy page.

The project is on-going and more data will be added periodically.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

Original provider: HDR Environmental, Operations and Construction, Inc.

Dataset credits: The U.S. Navy Marine Species Monitoring Program

Abstract: A combination of visual line-transect survey, photo-identification (photo-ID), and automated acoustic monitoring methods was used to gather important baseline information on the occurrence, distribution, and density of marine mammals near Naval Station Norfolk (NSN) and adjacent areas. The study area was designed to cover areas where United States Navy activity is substantial, including Chesapeake Bay waters near NSN and Joint Expeditionary Base Little Creek-Fort Story, as well as a Mine Exercise (MINEX) Area (W-50) in the Atlantic Ocean off the coast of Virginia Beach, Virginia. Sixty-one line-transect surveys were completed in two zones (INSHORE and MINEX) between August 2012 and August 2015, with 6,550 kilometers (km) and 349.6 hours completed on-effort. The majority of sightings were of bottlenose dolphins (Tursiops truncatus), although humpback whales (Megaptera novaeangliae), harbor porpoises (Phocoena phocoena), and short-beaked common dolphins (Delphinus delphis) were also sighted in the study area on occasion. In addition, loggerhead sea turtles (Caretta caretta), leatherback sea turtles (Dermochelys coriacea), and a Kemp’s ridley sea turtle (Lepidochelys kempii) were sighted during surveys. Conventional line-transect analysis of bottlenose dolphin sightings showed both spatial and seasonal variation in density and abundance, with greatest density in the INSHORE zone during fall months. Densities in the INSHORE zone were calculated as 3.88 individuals per square kilometer (km2) (abundance[N]=1,203) in fall, 0.63 individuals per km2 (N=195) in winter, 1.00 individuals per km2 (N=311) in spring, and 3.55 individuals per km2 (N=1,101) in summer. Densities in the MINEX zone were calculated as 2.14 individuals per km2 (N=1,277) in fall, 0.06 individuals per km2 (N=37) in winter, 1.53 individuals per km2 (N=913) in spring, and 1.39 individuals per km2 (N=829) in summer. Twenty-seven photo-ID surveys were completed, and a photo-ID catalog was created using photos taken during both dedicated photo-ID and line-transect surveys through May 2014; it contains 878 identified individuals to date. Subsequent photos will continue to be added and analyzed. One hundred ten individuals were re-sighted; however, most re-sightings were less than 4 months and 30 km apart. Additional survey effort and further analysis will be required before any clear movement patterns can be determined. C-POD acoustic data-loggers were initially deployed at four sites throughout the study area to cover areas of high United States Navy activity. Bottlenose dolphins were detected in each deployment location during all deployments from August 2012 to December 2015. Though deployments did not provide consistent coverage in all seasons for all sites due to loss of gear, results from two deployment sites nearest to NSN showed a greater level of occurrence during fall months, and a diel pattern of occurrence with increased detections during nighttime hours for three deployment sites.

Purpose: The HDR Marine Species Monitoring (MSM) Team was tasked to initiate a monitoring project in coastal waters around NSN, JEB-LC, JEB-FS, and the Virginia Beach waterfront, including the VACAPES MINEX W-50 training area. The main objective is to provide quantitative data and information on the seasonal occurrence, distribution, and density of marine mammals. Effort was dedicated to working with local researchers and employing proven marine mammal monitoring and research techniques to accomplish the following:

1. Conduct monthly systematic line-transect surveys to determine distribution of marine mammals in the vicinity of NSN, JEB-LC, JEB-FS, and the MINEX W-50 area.

2. Conduct monthly photo-identification (photo-ID) surveys during summer months to determine the site fidelity and distributional patterns of marine mammals utilizing the areas listed above.

3. Supplement visual surveys by deploying and retrieving four C-POD acoustic recording devices to monitor for dolphin echolocation clicks in specific locations.

Supplemental information: [2019-08-27] New data were appended and some columns with empty values were removed. The dataset name is changed by dropping the time period part.

[2014-11-25] Attributes were reorganized so that they meet provider's data schema and effort data (tracklines) were added.

The project is on-going and more data will be added periodically. The sighting coordinates represent the locations of the animals (not the vessel platform) calculated from reticle and bearing.

This dataset includes a subset of the data collection for the Norfolk-VABeach Vessel surveys. Other data of the collection are available in the following datasets: Norfolk/VA Beach Inshore Vessel Surveys Nov 2012- Nov 2013 Norfolk/VA Beach Photo-ID Surveys Aug 2012-Sep 2013

All the US Navy-funded survey datasets are found in the OBIS-SEAMAP US Navy page.

Original provider: HDR Environmental, Operations and Construction, Inc.

Dataset credits: The U.S. Navy Marine Species Monitoring Program

Abstract: A combination of visual line-transect survey, photo- identification (photo-ID), and automated acoustic monitoring methods was used to gather important baseline information on the occurrence, distribution, and density of marine mammals near Naval Station Norfolk (NSN) and adjacent areas. The study area was designed to cover areas where United States Navy activity is substantial, including Chesapeake Bay waters near NSN and Joint Expeditionary Base Little Creek-Fort Story, as well as a Mine Exercise (MINEX) Area (W-50) in the Atlantic Ocean off the coast of Virginia Beach, Virginia. Sixty-one line- transect surveys were completed in two zones (INSHORE and MINEX) between August 2012 and August 2015, with 6,550 kilometers (km) and 349.6 hours completed on-effort. The majority of sightings were of bottlenose dolphins (Tursiops truncatus), although humpback whales (Megaptera novaeangliae), harbor porpoises (Phocoena phocoena), and short-beaked common dolphins (Delphinus delphis) were also sighted in the study area on occasion. In addition, loggerhead sea turtles (Caretta caretta), leatherback sea turtles (Dermochelys coriacea), and a Kemp’s ridley sea turtle (Lepidochelys kempii) were sighted during surveys. Conventional line-transect analysis of bottlenose dolphin sightings showed both spatial and seasonal variation in density and abundance, with greatest density in the INSHORE zone during fall months. Densities in the INSHORE zone were calculated as 3.88 individuals per square kilometer (km2) (abundance[N]=1,203) in fall, 0.63 individuals per km2 (N=195) in winter, 1.00 individuals per km2 (N=311) in spring, and 3.55 individuals per km2 (N=1,101) in summer. Densities in the MINEX zone were calculated as 2.14 individuals per km2 (N=1,277) in fall, 0.06 individuals per km2 (N=37) in winter, 1.53 individuals per km2 (N=913) in spring, and 1.39 individuals per km2 (N=829) in summer. Twenty-seven photo- ID surveys were completed, and a photo-ID catalog was created using photos taken during both dedicated photo-ID and line-transect surveys through May 2014; it contains 878 identified individuals to date. Subsequent photos will continue to be added and analyzed. One hundred ten individuals were re-sighted; however, most re-sightings were less than 4 months and 30 km apart. Additional survey effort and further analysis will be required before any clear movement patterns can be determined. C-POD acoustic data-loggers were initially deployed at four sites throughout the study area to cover areas of high United States Navy activity. Bottlenose dolphins were detected in each deployment location during all deployments from August 2012 to December 2015. Though deployments did not provide consistent coverage in all seasons for all sites due to loss of gear, results from two deployment sites nearest to NSN showed a greater level of occurrence during fall months, and a diel pattern of occurrence with increased detections during nighttime hours for three deployment sites.

Purpose: The HDR Marine Species Monitoring (MSM) Team was tasked to initiate a monitoring project in coastal waters around NSN, JEB-LC, JEB-FS, and the Virginia Beach waterfront, including the VACAPES MINEX W-50 training area. The main objective is to provide quantitative data and information on the seasonal occurrence, distribution, and density of marine mammals. Effort was dedicated to working with local researchers and employing proven marine mammal monitoring and research techniques to accomplish the following:

1. Conduct monthly systematic line-transect surveys to determine distribution of marine mammals in the vicinity of NSN, JEB-LC, JEB-FS, and the MINEX W-50 area.

2. Conduct monthly photo-identification (photo-ID) surveys during summer months to determine the site fidelity and distributional patterns of marine mammals utilizing the areas listed above.

3. Supplement visual surveys by deploying and retrieving four C-POD acoustic recording devices to monitor for dolphin echolocation clicks in specific locations.

Supplemental information: [2019-08-27] New data were appended and some columns with empty values were removed. The dataset name is changed by dropping the time period part.

This dataset includes sightings from photo-id surveys. No images and information on individual animals are provided.

This dataset includes a subset of the data collection for the Norfolk-VABeach Vessel surveys. Other data of the collection are available in the following datasets: "http://seamap.env.duke.edu/dataset/1071">Norfolk/VA Beach Inshore Vessel Surveys Nov 2012- Nov 2013 Norfolk/VA Beach MINEX Vessel Surveys

All the US Navy-funded survey datasets are found in the OBIS-SEAMAP US Navy page.

Whale data were collected using visual observations and other instruments in the Arctic Ocean from aircraft. Data were collected from 02 August 1979 to 18 October 1982 by the US Navy; Naval Ocean Systems Command as part of the MMS Studies program. Data has been processed by NODC to the NODC standard Marine Mammal Sighting and Census (F127) format. The F127 format is used for data from field observations of marine animals. Data may be reported either for individual, random sightings or for sightings made as part of systematic ship or aircraft surveys along specified tracks. These data provide information on animal population densities and distributions, activities, migratory routes and breeding locales. Cruise or survey information, start and end positions, start and end times, and platform speed, direction, and altitude are reported for each observation or series of observations. Position, date and time are reported for each sighting _location, along with a code indicating presence or absence of animals and, if present, their distance to the observer, shoreline, and ice edge and heading direction. For each sighting _location, animal sighting data are reported by species for all observed species. Species identification, total number of individuals, and counts by age group (adults, subadults, juveniles, unknown) may be reported in summary for all animals sighted or by subgroups distinguished by sex, behavior, markings, or other characteristics. A text record is available for comments.

Assessing the patterns of wildlife attendance to specific areas is relevant across many fundamental and applied ecological studies, particularly when animals are at risk of being exposed to stressors within or outside the boundaries of those areas. Marine mammals are increasingly being exposed to human activities that may cause behavioural and physiological changes, including military exercises using active sonars. Assessment of the population-level consequences of anthropogenic disturbance requires robust and efficient tools to quantify the levels of aggregate exposure for individuals in a population over biologically relevant time frames. We propose a discrete-space, continuous-time approach to estimate individual transition rates across the boundaries of an area of interest, informed by telemetry data collected with uncertainty. The approach allows inferring the effect of stressors on transition rates, the progressive return to baseline movement patterns, and any difference among individuals. We apply the modelling framework to telemetry data from Blainville's beaked whale (Mesoplodon densirostris) tagged in the Bahamas at the Atlantic Undersea Test and Evaluation Center (AUTEC), an area used by the US Navy for fleet readiness training. We show that transition rates changed as a result of exposure to sonar exercises in the area, reflecting an avoidance response. Our approach will support the assessment of the aggregate exposure of individuals to sonar and the resulting population-level consequences. The approach has potential applications across many applied and fundamental problems where telemetry data are used to characterise animal occurrence within specific areas.

Overview

The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine and near-surface ocean platforms. Each marine report contains individual observations of meteorological and oceanographic variables, such as sea surface and air temperatures, wind, pressure, humidity, and cloudiness. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems.

Content

The ICOADS dataset contains global marine data from ships (merchant, navy, research) and buoys, each capturing details according to the current weather or ocean conditions (wave height, sea temperature, wind speed, and so on). Each record contains the exact location of the observation which is great for visualizations. The historical depth of the data is quite comprehensive — There are records going back to 1662!

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.github_repos.[TABLENAME]. Fork this kernel to get started to learn how to safely manage analyzing large BigQuery datasets.

Acknowledgements

Dataset Source: NOAA Category: Meteorological, Climate, Transportation

Citation: National Centers for Environmental Information/NESDIS/NOAA/U.S. Department of Commerce, Research Data Archive/Computational and Information Systems Laboratory/National Center for Atmospheric Research/University Corporation for Atmospheric Research, Earth System Research Laboratory/NOAA/U.S. Department of Commerce, Cooperative Institute for Research in Environmental Sciences/University of Colorado, National Oceanography Centre/Natural Environment Research Council/United Kingdom, Met Office/Ministry of Defence/United Kingdom, Deutscher Wetterdienst (German Meteorological Service)/Germany, Department of Atmospheric Science/University of Washington, and Center for Ocean-Atmospheric Prediction Studies/Florida State University. 2016, updated monthly. International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Individual Observations. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory: https://doi.org/10.5065/D6ZS2TR3. Accessed 01 04 2017.

Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Photo by Gleb Kozenko on Unsplash

Replication Data for: Comparison of Body Composition Assessed by Dual-Energy X-Ray Absorptiometry and BMI in Current and Former U.S. Navy Service Members PLOS ONE

Original provider: Duke University Marine Laboratory

Dataset credits: Duke University Marine Laboratory

Abstract: The United States (US) Navy proposed constructing an Undersea Warfare Training Range (USWTR) along the US Atlantic coast. One of the proposed sites within the Cherry Point (CHPT) OPAREA is an area of 1,713 km2 in Onslow Bay, 87 km from the coast of North Carolina. As part of the Navy's Atlantic Fleet Training and Testing (AFTT) Monitoring Program, shipboard and aerial line transect surveys were implemented in 2007 to estimate density and document distribution and seasonal residency of marine mammals and sea turtles in the proposed USWTR (see "DUML vessel-based line transect surveys for proposed Onslow Bay USWTR site 2007-2010" dataset). Shipboard line-transect survey methods transitioned to biopsy and photo-identification sampling at the end of April 2011 to address questions of residency and population structure in the CHPT OPAREA. Survey effort was expended along the 200 m depth contour and occasionally around eddies and fronts generated by the Gulf Stream. We are focusing on residency and population structure with our shipboard surveys because we are: (1) obtaining adequate data with which to estimate density from aerial line transect sampling; (2) interested in addressing questions of residency as photo-identification data from Onslow suggest considerable residency in that area despite minimal sampling. Sightings within this dataset are from shipboard photo-ID and biopsy surveys conducted from 2011-2013.

Purpose: The primary objectives of these surveys are to: (1) document species occurrence and examine patterns of residency of marine mammals and turtles in the defined study area, (2) determine relatedness among individuals, populations and species within the study area, and (3) supplement the visual surveys with acoustic monitoring using a High-frequency Acoustic Recording Package (HARP).

Supplemental information: [2016-04-14] Sightings in Aug 2015 were appended. The following columns were added (these columns are blank for the sightings before Aug 2015): end_time, end_lat, end_long, behav_state, totminest, totmaxest, mincalves, maxcalves, minyoy, maxyoy, totposid, totnoid, totfinbest, calfposid, calfnoid, calfinbest, yoyposid, comments, photo_notes, sighting_notes, observations, photo_grades, acoustics of which totposid, totnoid, totfinbest, calfposid, calfnoid, calfinbest, yoyposid, comments, sighting_notes, observations, photo_grades are blank for Aug 2015.

[2014-03-21] The 2013 data were appended.

[2013-03-19] Additional survey data for the Onslow Bay USWTR site are available on OBIS-SEAMAP in the "DUML vessel-based line transect surveys for proposed Onslow Bay USWTR site 2007-2010" dataset. All the US Navy-funded survey datasets are found in the OBIS-SEAMAP US Navy page.

Individual animals and other data were collected using visual observations and other instruments in the Arctic Ocean by AIRCRAFT. Data were collected from 02 August 1979 to 18 October 1982 by the US Navy; Naval Ocean Systems Command. Data has been processed by NODC to the NODC standard Marine Mammal Sighting and Census (F127) format. The F127 format is used for data from field observations of marine animals. Data may be reported either for individual, random sightings or for sightings made as part of systematic ship or aircraft surveys along specified tracks. These data provide information on animal population densities and distributions, activities, migratory routes and breeding locales. Cruise or survey information, start and end positions, start and end times, and platform speed, direction, and altitude are reported for each observation or series of observations. Position, date and time are reported for each sighting location, along with a code indicating presence or absence of animals and, if present, their distance to the observer, shoreline, and ice edge and heading direction. For each sighting location, animal sighting data are reported by species for all observed species. Species identification, total number of individuals, and counts by age group (adults, subadults, juveniles, unknown) may be reported in summary for all animals sighted or by subgroups distinguished by sex, behavior, markings, or other characteristics. A text record is available for comments.

Despite strong interest in how noise affects marine mammals, little is known about the most abundant and commonly exposed taxa. Social delphinids occur in groups of hundreds of individuals that travel quickly, change behavior ephemerally, and are not amenable to conventional tagging methods, posing challenges in quantifying noise impacts. We integrated drone-based photogrammetry, strategically-placed acoustic recorders, and broad-scale visual observations to provide complimentary measurements of different aspects of behavior for short- and long-beaked common dolphins. We measured behavioral responses during controlled exposure experiments (CEEs) of military mid-frequency (3-4 kHz) active sonar (MFAS) using simulated and actual Navy sonar sources. We used latent-state Bayesian models to evaluate response probability and persistence in exposure and post-exposure phases. Changes in sub-group movement and aggregation parameters were commonly detected during different phases of MFAS CEEs but not control CEEs. Responses were more evident in short-beaked common dolphins (n=14 CEEs), and a direct relationship between response probability and received level was observed. Long-beaked common dolphins (n=20) showed less consistent responses, although contextual differences may have limited which movement responses could be detected. These are the first experimental behavioral response data for these abundant dolphins to directly inform impact assessments for military sonars. Methods We used complementary visual and acoustic sampling methods at variable spatial scales to measure different aspects of common dolphin behavior in known and controlled MFAS exposure and non-exposure contexts. Three fundamentally different data collection systems were used to sample group behavior. A broad-scale visual sampling of subgroup movement was conducted using theodolite tracking from shore-based stations. Assessments of whole-group and sub-group sizes, movement, and behavior were conducted at 2-minute intervals from shore-based and vessel platforms using high-powered binoculars and standardized sampling regimes. Aerial UAS-based photogrammetry quantified the movement of a single focal subgroup. The UAS consisted of a large (1.07 m diameter) custom-built octocopter drone launched and retrieved by hand from vessel platforms. The drone carried a vertically gimballed camera (at least 16MP) and sensors that allowed precise spatial positioning, allowing spatially explicit photogrammetry to infer movement speed and directionality. Remote-deployed (drifting) passive acoustic monitoring (PAM) sensors were strategically deployed around focal groups to examine both basic aspects of subspecies-specific common dolphin acoustic (whistling) behavior and potential group responses in whistling to MFAS on variable temporal scales (Casey et al., in press). This integration allowed us to evaluate potential changes in movement, social cohesion, and acoustic behavior and their covariance associated with the absence or occurrence of exposure to MFAS. The collective raw data set consists of several GB of continuous broadband acoustic data and hundreds of thousands of photogrammetry images. Three sets of quantitative response variables were analyzed from the different data streams: directional persistence and variation in speed of the focal subgroup from UAS photogrammetry; group vocal activity (whistle counts) from passive acoustic records; and number of sub-groups within a larger group being tracked by the shore station overlook. We fit separate Bayesian hidden Markov models (HMMs) to each set of response data, with the HMM assumed to have two states: a baseline state and an enhanced state that was estimated in sequential 5-s blocks throughout each CEE. The number of subgroups was recorded during periodic observations every 2 minutes and assumed constant across time blocks between observations. The number of subgroups was treated as missing data 30 seconds before each change was noted to introduce prior uncertainty about the precise timing of the change. For movement, two parameters relating to directional persistence and variation in speed were estimated by fitting a continuous time-correlated random walk model to spatially explicit photogrammetry data in the form of location tracks for focal individuals that were sequentially tracked throughout each CEE as a proxy for subgroup movement. Movement parameters were assumed to be normally distributed. Whistle counts were treated as normally distributed but truncated as positive because negative count data is not possible. Subgroup counts were assumed to be Poisson distributed as they were distinct, small values. In all cases, the response variable mean was modeled as a function of the HMM with a log link: log(Responset) = l0 + l1Z t where at each 5-s time block t, the hidden state took values of Zt = 0 to identify one state with a baseline response level l0, or Zt = 1 to identify an “enhanced” state, with l1 representing the enhancement of the quantitative value of the response variable. A flat uniform (-30,30) prior distribution was used for l0 in each response model, and a uniform (0,30) prior distribution was adopted for each l1 to constrain enhancements to be positive. For whistle and subgroup counts, the enhanced state indicated increased vocal activity and more subgroups. A common indicator variable was estimated for the latent state for both the movement parameters, such that switching to the enhanced state described less directional persistence and more variation in velocity. Speed was derived as a function of these two parameters and was used here as a proxy for their joint responses, representing directional displacement over time.
To assess differences in the behavior states between experimental phases, the block-specific latent states were modeled as a function of phase-specific probabilities, Z t ~ Bernoulli (pphaset), to learn about the probability pphase of being in an enhanced state during each phase. For each pre-exposure, exposure, and post-exposure phase, this probability was assigned a flat uniform (0,1) prior probability. The model was programmed in R (R version 3.6.1; The R Foundation for Statistical Computing) with the nimble package (de Valpine et al. 2020) to estimate posterior distributions of model parameters using Markov Chain Monte Carlo (MCMC) sampling. Inference was based on 100,000 MCMC samples following a burn-in of 100,000, with chain convergence determined by visual inspection of three MCMC chains and corroborated by convergence diagnostics (Brooks and Gelman, 1998). To compare behavior across phases, we compared the posterior distribution of the pphase parameters for each response variable, specifically by monitoring the MCMC output to assess the “probability of response” as the proportion of iterations for which pexposure was greater or less than ppre-exposure and the “probability of persistence” as the proportion of iterations for which ppost-exposre was greater or less than ppre-exposure. These probabilities of response and persistence thus estimated the extent of separation (non-overlap) between the distributions of pairs of pphase parameters: if the two distributions of interest were identical, then p=0.5, and if the two were non-overlapping, then p=1. Similarly, we estimated the average values of the response variables in each phase by predicting phase-specific functions of the parameters: Mean.responsephase = exp(l0 + l1pphase) and simply derived average speed as the mean of the speed estimates for 5-second blocks in each phase.

This map shows the percent of population who are veterans. This pattern is shown by states, counties, and tracts. The data is from the most current American Community Survey (ACS) data from the U.S. Census Bureau. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty.The pop-up highlights the breakdown of veterans by gender.Zoom to any area in the country to see a local or regional pattern, or use one of the bookmarks to see distinct patterns of poverty through the US. Data is available for the 50 states plus Washington D.C. and Puerto Rico.The data comes from this ArcGIS Living Atlas of the World layer, which is part of a wider collection of layers that contain the most up-to-date ACS data from the Census. The layers are updated annually when the ACS releases their most current 5-year estimates. Visit the layer for more information about the data source, vintage, and download date for the data.

Original provider: Duke University Marine Laboratory

Dataset credits: Duke University Marine Laboratory

Abstract: The site off Cape Hatteras, North Carolina is subsumed within the U.S. Navy’s Atlantic Fleet Training and Testing (AFTT) Monitoring Program. The survey area encompasses approximately 16,000 km² and includes continental shelf waters and deeper waters beyond the shelf break. The area also includes a large portion of the Cape Hatteras Special Research Area (CHSRA), designated by NOAA Fisheries to address interactions between short-finned pilot whales (Globicephala macrorhynchus) and the pelagic longline fisheries. A monitoring program (shipboard and aerial surveys) was implemented in 2011 to estimate density and document distribution and seasonal residency of marine mammals and sea turtles in the CHSRA.

Purpose: The primary objectives of these surveys are to: (1) document species occurrence and examine patterns of residency of marine mammals and turtles in the defined study area (2) determine relatedness among individuals, populations and species within the study area (3) supplement the visual surveys with acoustic monitoring using a High-frequency Acoustic Recording Package (HARP) (4) collect baseline data on the diving behavior of deep diving cetaceans e.g. short-finned pilot whales and beaked whales

Supplemental information: [2016-04-14] Sightings in 2015 were appended. The following columns were added (these columns are blank for the sightings before 2015): end_time, end_lat, end_long, behav_state, totminest, totmaxest, mincalves, maxcalves, minyoy, maxyoy, totposid, totnoid, totfinbest, calfposid, calfnoid, calfinbest, yoyposid, comments, photo_notes, sighting_notes, observations, photo_grades, acoustics of which totposid, totnoid, totfinbest, calfposid, calfnoid, calfinbest, yoyposid, comments, sighting_notes, observations, photo_grades are blank for the 2015 sightings.

[2015-05-13] The 2013-2014 data were appended. [2014-03-21] The 2013 data were appended. All the US Navy-funded survey datasets are found in the OBIS-SEAMAP US Navy page.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

1Physical Activity Guidelines Advisory Committee Report, 2008 [18].2Dietary Guidelines for Americans, 2010 [21].3Fiber recommendations by age: 34 g (19–30 y), 31 g (31–50 y), and 28 g (≥ 50 y).For dietary intake, n = 461 and for all others, n = 462.

The surprise Japanese attack on the American naval base at Pearl Harbor, Hawaii, on the morning of December 7, 1941, marked the beginning of the United States' involvement in the Second World War. As a result of the attack, a total of 2,403 Americans were killed, and the vast majority of these were from the U.S. Navy. Almost half of all American deaths on the day came were those on the U.S.S. Arizona, where 1,177 servicemen were killed as the ship was sunk. In contrast, just 129 Japanese soldiers were killed in the attack.

The World War II Enlistment and Casualty Records data set contains individual-level information on soldiers who were drafted or volunteered for service in the U.S. armed forces during World War II. The repository consists of three files: The digitized list of fallen soldiers who served in the U.S. Army or Army Air Force by name, state, and county of residence (300,131 observations) The digitized list of fallen soldiers who served in the U.S. Navy, Marine Corps, or Coast Guard by name, state, and county of residence (65,507 observations) The World War II Army and Army Air Force Enlistment records which were merged with the list of fallen soldiers (8,293,187 observations)

Oceanographic station and other data from meteorological sensors, CTD, and bottle casts from numerous platforms from 1902-08-03 to 1990-12-27. Data were processed by NODC to the NODC standard Oceanographic Station Data (SD2) format (also known as C022 Low-resolution CTD/STD and C100 Ocean Station Data format).

The Oceanographic Station Data format contains physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi-bottle Nansen casts or other types of water samplers. A small amount (about 5 percent) were obtained using electronic CTD conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information (e.g., ship, country, institution), position, date, and time, and reported for each station. The principal measured parameters are temperature and salinity, but dissolved oxygen, phosphate, total phosphorus, silicate, nitrate, nitrite, and pH may be reported. Meteorological conditions at the time of the cast (e.g., air temperature and pressure, wind, waves) may also be reported, as well as auxiliary data such as water color (Forel-Ule scale), water transparency (Secchi disk depth), and depth to bottom. Values of density (sigma-t), sound velocity, and dynamic depth anomaly are computed from measured parameters. Each station contains the measurements taken at the observed depth levels, but also includes data values interpolated to a set of standard depth levels.

Exogenous mutagens can increase the mutation rate and genomic instability. One such mutagen is ionizing radiation, a byproduct of nuclear fission technologies. For all the discussion about nuclear technology over the last seven decades, little has been done to assess the effects of radiation on wild populations. The lack of publicly available knowledge is particularly stark in the Marshall Islands, where the U.S. Navy tested nuclear weapons from 1946-1958. We measured somatic mutation rates and patterns in coral colonies living at Enewetak and Bikini Atolls, two former nuclear testing sites, as well as two non-irradiated sites, Palau and American Samoa. On average, the somatic mutation rate was not higher for corals living in Enewetak and Bikini than those living in American Samoa and Palau. Two colonies, one from Bikini and one from Enewetak, showed 4-10 times high somatic mutation rates, but not higher single nucleotide variant rates. Structural variants like indels and balanced inversions tend to be signatures of ionizing radiation. There was no relationship between the number of genetic differences in two samples from a coral and the physical distance between those two samples, indicating that colony size is not a reliable proxy for the accumulation of somatic mutations. The Enewetak coral population was less genetically diverse than the other three, perhaps due to a bottleneck or founder effect as a result of widespread coral mortality in the 1940s-50s. A broader survey of more corals is needed to determine the frequency of individuals with very high somatic mutation rates.