https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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!
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.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘world military power 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mingookkim/world-military-power-2020 on 14 February 2022.
--- Dataset description provided by original source is as follows ---
I found this data on a site called data.world. It is a data material published as a dataset created by vizzup.
This is a data that allows you to see the world military rankings in 2020 and numerical status such as the army, navy, and air force.
In addition, some related data such as population and economy related to military power are also included.
Please refer to data analysis as a good data to compare military power.
Original Source : globalfirepower.com on 1st may 2020
--- Original source retains full ownership of the source dataset ---
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Original provider: HDR Environmental, Operations and Construction, Inc.
Dataset credits: The U.S. Navy Marine Species Monitoring Program
Abstract:
In order to support the U.S. Navy in meeting regulatory requirements for monitoring established under the Final Rules and to provide a mechanism to assist with coordination of program objectives under the ICMP, this survey was conducted to confirm the Marine Mammal Monitoring on Navy Ranges (M3R) acoustic detections and marine mammal satellite tagging was prior to a training event, the Submarine Commander’s Course exercise, which would be conducted in the same area during February 2012.
The survey occurred from 11 to 19 January 2012 in the waters west of Kaua'i in the Pacific Missile Range Facility (PMRF) instrumented range within the HRC. This cruise was designed as a non-random, non-systematic survey designed to optimize encounter rates for the purpose of visual validation of acoustic detections and satellite tagging of species for which population size, habitat use, and movement pattern data are lacking and which may be exposed to U.S. Navy training.
Purpose: not provided
Supplemental information: [2017-10-13] Data fields are changed so that they follow other Navy datasets.
Original provider: Marine Ecology and Telemetry Research
Dataset credits: Marine Ecology and Telemetry Research
Abstract: The United States (US) Navy uses the Southern California (SOCAL) portion of the Hawaii-Southern California Training and Testing area, a collection of nearshore and offshore training areas that include much of the navigable water from Santa Barbara Island, California, to northern Baja California, Mexico, and extending several hundred miles to the west. It is among one of the most heavily used tactical training areas in the world, and is used for a variety of aerial, surface, and subsurface exercises. The Southern California Offshore Range (SCORE) is a subset of complexes within SOCAL centered on San Clemente Island and managed via the Range Operation Center (ROC) on North Island, Coronado. It includes the Southern California Anti-submarine Warfare Range (SOAR), a focal area for exercises involving mid-frequency active sonar (MFAS) systems within the San Nicolas Basin.
Through its N45 Living Marine Resources (LMR) research programs, and more recently in support of Pacific Fleet Monitoring efforts, the US Navy has funded directed studies on cetacean occurrence on SOAR since 2006. The primary focus of these studies is to support long-term surveys of Cuvier’s beaked whales and fin whales using photo-identification (photo-ID) and genetics to elucidate population size, structure, and trends, which can in turn provide a particularly robust basis for assessing population-level impacts of Navy training. Data is collected on all species encountered in this region as part of the monitoring program.
Purpose: Data from this project is collected to better understand the movement and habitat use of cetaceans within and around the Southern California Bight (SCB). The SCB is home to a diverse group of cetacean species, and is an area of significant human impacts, including commercial shipping, Navy training, and recreational boating.
Supplemental information: These surveys were funded by Fleet for Southern California.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Original provider: Andrew DiMatteo, US Navy
Dataset credits: Kevin Foss, Christopher Newport University; U.S. Department of the Navy
Abstract: The Elizabeth River is bounded almost totally by industrial, urban, suburban, commercial shipping and military facilities. Tidal in nature, the river has low flow, resulting in heavy contamination loads. The population studied is the Northern Migratory Stock of the US Atlantic coast, appearing in this area from May through November. Standard small boat, focal group follow, passive observation techniques were used, along with photography of individuals. Data on location, group size estimates, activities observed and relevant environmental observations were recorded every five minutes. The dolphins appear as individuals or pairs in April and May, with group size increasing in June to a peak mean of 29 animals sighted per encounter. Group size then decreases in October and November. Probability of encountering dolphins ranges from 0% during the winter and early spring to over 80% in July, tapering off towards fall. Activity patterns show greatest diversity in July and August, with travel constituting the main activity early and late. Despite a peak of births in the area in May-June, there is little mating until July, with the incidence of sexual activity peaking in September.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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. In 2008, the US Navy chose the area off of Jacksonville, FL (JAX OPAREA) to be the preferred site of the USWTR. The JAX USWTR site and, like that in Onslow Bay, is 25 nm (46 km) long and 20 nm (37 km) wide (approximately 1700 km2). The survey area straddles the continental shelf and Blake Plateau and includes neritic, shelf waters and pelagic, offshore waters. As part of the Navy's Atlantic Fleet Training and Testing (AFTT) Monitoring Program, shipboard and aerial line transect surveys were implemented in 2009 to estimate density and document distribution and seasonal residency of marine mammals and sea turtles in the proposed USWTR (see "DUML vessel-based surveys for proposed JAX USWTR site 2009-2010" dataset). In January 2012, shipboard line-transect survey methods transitioned to biopsy and photo-identification sampling to address questions of residency and population structure in the area. Vessel 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 in this area. Sightings within this dataset are from shipboard photo-ID and biopsy surveys conducted from 2012-2015.
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).
Supplemental information: [2020-09-30] The following invalid species names were corrected according to the Integrated Taxonomic Information System (ITIS). Turtles: Testudines (173749) => Testudines (948936)
[2016-04-14] Sightings from Jul to Dec 2015 were appended. The following columns were added (these columns are blank for the sightings before Jul 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 newly added sightings.
[2015-05-13] The 2014-2015 data were appended. [2014-03-21] The 2013-14 data were appended. The following attributes were added since May 2013: SIGHTNO, BEAUSCALE, DEPTH, WATERTEMP, BESTCALVES, BESTYOY, PHOTOS [2013-03-19] Additional survey data for the JAX USWTR site are available on OBIS-SEAMAP in the "DUML vessel-based surveys for proposed JAX USWTR site 2009-2010" dataset.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
La base de datos de los miembros de la Armada Nacional de Colombia (ARC Almirante Padilla, ARC Capitán Tono y ARC Almirante Brión) que participaron en la guerra de Corea que tuvo lugar entre 1950 y 1953, cuenta con información de servicio y personal, relevante para contribuir a la reconstrucción de la memoria histórica y el desarrollo investigativo de la participación de Colombia en este conflicto internacional. Database of the Colombian National Navy members (ARC Almirante Padilla, ARC Capitán Tono y ARC Almirante Brión) who participated in the Korean War between 1950 and 1953, it has relevant information about their personal and military service. It contributes to the reconstruction of the historical memory and research development of Colombia's participation in this international conflict.
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https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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!
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.
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