Breton Island, Louisiana Transects with Shoreline Change Rates (Pre/Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that were derived from the Digital Shoreline Analysis System (DSAS) version 4.0. Rates from the DSAS statistical output table were joined to the transects to provide a visual representation of the shoreline change rates on a transect-by-transect basis.

This statistic shows a ranking of the leading Payson Breton butter products in France in 2023, by number of consumers. In 2020, an estimated *********** people consumed Paysan Breton Le Beurrier in France.

Breton Island, Louisiana Baseline (Geographic, NAD83) consists of vector line data that were input into the Digital Shoreline Analysis System (DSAS) version 4.0, which is computer software used to compute rate of change statistics. A baseline was acquired from the Barrier Island Comprehensive Monitoring Program (BICM) 2009 report (http://lacoast.gov/reports/project/3890772~1.pdf). The baseline included in the BICM report covered the entire Louisiana coastline, so the baseline representing Breton Island had to be clipped then exported to a new shapefile named Breton_Baseline.shp. The position relative to Breton Island was determined to be the best possible baseline to use for the study. The baseline file was used to create the transect files, which are required by the DSAS program to calculate rate of change statistics.

Oceanographic data from stationary moorings deployed as part of the Centre for Marine Applied Research's (CMAR) Coastal Monitoring Program.

This statistic shows the number of visitors to Cape Breton Highlands National Park in Canada from 2010/11 to 2023/24. The number of visitors to Cape Breton Highlands National Park amounted to approximately ***** in the fiscal year 2023/24.

These data were automated to provide an accurate high-resolution historical shoreline of Breton Island, Louisiana suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

The table brings together all the data used for the construction of the economic dimension of the Breton Sustainable Development Index. This dimension brings together themes and indicators on the economic dynamics of Breton territories at the level of public institutions of inter-municipal cooperation (EPCI). For each subdimensional, the data provides: — statistical indicators; — the same standardised and ordered statistical indicators out of 1; — a summary index which corresponds to the average of the standardised statistical indicators; — a category of territory (balanced territory A, intermediate territory B, fragile territory C) calculated according to the positioning of the index against the other 58 indices (one per EPCI). For more information on table structuring and data sources, see the Data Dictionary, downloadable at: http://kartenn.region-bretagne.fr/portail-idd/data.html

Origin

The data come from several statistical sources: DIRECCTE, INSEE (RP, DADS), CRESS, GIP Bretagne Environnement. The calculations of the indicators and indices were carried out by the Knowledge, Observation, Planning and Prospective Service. The geographical contours come from OpenStreetMap.

Partner organisations

Region Brittany

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This dataset provides information about the number of properties, residents, and average property values for Breton Street cross streets in Westbrook, ME.

Le programme de surveillance côtière du Center for Marine Applied Research (CMAR) fournit des données à haute résolution sur les variables océaniques de la côte de la Nouvelle-Écosse.Le programme a été lancé par le Département de la pêche et de l'aquaculture de la Nouvelle-Écosse au début des années 1990.En 2019, CMAR a assumé la responsabilité du programme et élargi sa portée et son mandat.Grâce à la branche de la qualité de l'eau du programme, CMAR recueille la température, l'oxygène dissous et les données de salinité à l'aide de capteurs déployés sur des «chaînes de capteurs».Une chaîne de capteurs se compose généralement d'une ligne ancrée au fond marin par une libération acoustique et suspendue par une bouée de sous-surface, avec des capteurs attachés à différentes profondeurs sous la surface (tel que mesuré à marée basse).Alternativement, une chaîne peut être attachée aux amarres de surface, y compris des quais flottants, des bouées et de l'équipement.Les chaînes de capteurs sont déployées pendant plusieurs mois et les données sont mesurées toutes les minutes à 1 heure.Les capteurs sont récupérés pour le déchargement des données en déclenchant la version acoustique le cas échéant, en éliminant directement les amarres de surface, ou parfois par des plongeurs ou des méthodes de grappling.Des tests automatisés de contrôle de la qualité ont été appliqués aux données pour identifier les observations périphériques et inattendues.Les résultats de ces tests sont résumés dans les colonnes «QC_FLAG» de l'ensemble de données.Chaque point de données se voit attribuer une valeur de drapeau de «passer», «suspect / d'intérêt», «échec» ou «non évalué».Les observations signalées comme «pass» ont passé tous les tests et peuvent être incluses dans les analyses.Les observations d'oxygène dissoutes signalées comme «suspecte / d'intérêt» indiquent probablement des signaux biofulling et doivent être exclues de l'analyse ou utilisées avec une extrême prudence.Les observations pour d'autres variables signalées comme «suspect / d'intérêt» doivent être examinées avant d'être incluses dans les analyses.Les observations signalées comme «échec» doivent être exclues de la plupart des analyses.Certains tests ne peuvent pas être appliqués à certaines observations, qui seront signalées comme «non évaluées».Ces observations peuvent généralement être incluses dans les analyses.Les drapeaux doivent être utilisés uniquement comme guide et les utilisateurs de données sont responsables de l'évaluation de la qualité des données avant l'utilisation dans toute analyse.Pour plus d'informations sur les tests de contrôle de la qualité, visitez le site Web de gouvernance des données CMAR (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html).Le programme de surveillance côtière des données de qualité de l'eau est organisé par le comté.Ces ensembles de données sont très importants, dépassant généralement le nombre de lignes qui peuvent être visualisées dans Excel.CMAR recommande de filtrer les données sur le corps d'eau, la station, la profondeur, le drapeau de contrôle de la qualité et / ou la période d'intérêt avant de l'exportation.Un graphique dérivé de l'ensemble de données permet également le filtrage et l'exportation interactifs (https://data.novascotia.ca/d/gby9-ca7m).L'ensemble de données ''Nova Scotia Water Quality Data: Station Locations'' sur ce portail montre des emplacements supplémentaires avec les données de qualité de l'eau disponibles collectées via le programme de surveillance côtière de CMAR (https://data.novascotia.ca/nature-and-environment/coastal-monitoring-Program-station-Locations / CJFB-F4D4).Les rapports de résumé du comté sont disponibles sur le site Web de CMAR (https://cmar.ca/coastal-monitoring-program/).Les données peuvent également être téléchargées à partir du serveur ERDDAP via la plate-forme canadienne du système d'observation des océans (CIOOS) (https://catalogue.cioosatlantic.ca/dataset?q=cmar).La collecte et la récupération des données sont en cours.Les ensembles de données et les rapports peuvent être révisés en attendant la collecte et les analyses de données en cours.Si vous avez accédé à des données sur le programme de surveillance côtière, CMAR apprécierait vos commentaires: https://docs.google.com/forms/d/e/1faipqlse3td6umrsvvknkl13vvmjipckci2ctonjsgn7_g-4c-tktuw/viewform.Veuillez reconnaître le Center for Marine Applied Research dans tout matériel publié qui utilise ces données.Contactez info@cmar.ca pour plus d'informations.

What? An aerial wildlife population survey is used in Cape Breton Highlands National Park to estimate moose (Alces alces) population density. When? Monitoring frequency for this measure occurs every two to three years. Surveys take place in early March when there is snowpack present, the weather is stable, and sightability is increased by sun angle and day length. How? The population survey uses a random stratified design. The study area is Cape Breton Highlands National Park (950km2) and is divided up into Survey Units (SU’s) or “blocks”. Survey units are numbered sequentially in rows running from west to east, beginning in the north. Stratification lines are flown along transects running through the center point of each survey unit, and cluster analysis is used to assign all survey units a moose density stratum: High, Medium or Low. Survey units are randomly selected from each stratum to be flown in the block survey. 50 survey units are initially selected (35 Low, 10 Medium, 5 High), with more survey units added as necessary to obtain a population estimate with a 90% confidence interval. Why? Moose are the top herbivore in Cape Breton Highlands National Park. Benefiting from favourable conditions following a spruce budworm outbreak and, having no significant natural predators, the moose population has become hyperabundant, resulting in negative impacts to the parks forest ecosystem. This survey every helps to monitor changes in moose density in the park, and determine if it is at a sustainable level (ie. within the natural range of variability observed in predator controlled populations).

Breton Island, Louisiana Transects with Shoreline Change Rates (Post-1950s) (Geographic, NAD83) consists of vector transect data that were derived from the Digital Shoreline Analysis System (DSAS) version 4.0. Rates from the DSAS statistical output table were joined to the transects to provide a visual representation of the shoreline change rates on a transect-by-transect basis.

This dataset provides information about the number of properties, residents, and average property values for Breton Place cross streets in Palmdale, CA.

This dataset contains binary point-cloud data, produced from remotely sensed, geographically referenced topobathymetric measurements collected by Photo Science, Inc., encompassing the Breton and Gosier Island, LA study areas. The original area of interest was buffered by 100 meters to ensure complete coverage, resulting in approximately 75 square miles of lidar data. The Breton Island Lidar project called for the planning, acquisition, processing, and derivative products of topobathymetric lidar data, collected at a nominal pulse spacing (NPS) of 0.5-0.45 meters (4-5 points/square meter). Lidar acquisition was prioritized to coincide with the lowest tide possible. Water clarity was also assessed and deemed acceptable prior to acquisition flights. The data, in meters, are projected to UTM Zone 16 North and referenced horizontally to the NAD83 (2011) datum and vertically to the NAVD88 (GEOID12A) datum. The classified point-cloud data were delivered in LAS v1.2 format and the merged DEM was converted to a GeoTIFF file. Each LAS file contains data in a 1-kilometer by 1-kilometer tile named according to the US National Grid conventions. The final product was a LAZ file for Breton Island and another for Gosier Islands.

This dataset provides information about the number of properties, residents, and average property values for Breton Drive cross streets in Pine Brook, NJ.

ACAP Cape Breton is an environmental non-profit organization that offers the knowledge that Cape Bretoners need to make greener choices, and works directly on practical solutions that help protect and restore our natural environment. Since its beginning in 1992, ACAP Cape Breton has evolved into a dynamic group that integrates environmental, social and economic factors into projects focusing on action, education and ecosystem planning.

This baseline dataset was taken in preparation for an upcoming riparian restoration, wetland restoration and invasive species removal along the stretch of the Wash Brook between St. Peters Road and Archibald Avenue. This data will be taken at an as-needed basis to monitor changes in quality after construction is completed.

What? Eastern Red-Backed Salamander (Plethodon cinereus) abundance is being monitored at various old growth forest sites within Cape Breton Highlands National Park. When? Monitoring frequency occurred annually for three consecutive years after initial set-up, and biennially henceforth. In each cycle, four consecutive visits are conducted over a four week period in the fall; the timing is intended to coincide with favourable soil temperatures for salamanders. How? The monitoring sites are located within old growth stands in Cape Breton Highlands National Park. The sites consist of 40 – 50 artificial cover objects (ACO’s – typically pine boards measuring 10” x 10” x 1”) laid down directly on the mineral soil of the forest floor. At each site visit the artificial cover objects are temporarily lifted and inspected; species, count, color phase and age class are recorded of resident salamanders. Why? Salamanders are a useful indicator species of forest health because they are sensitive to a wide range of ecological stressors, particularly those that influence micro-climate, air and water quality. This measure is used to evaluate the health of old growth stands.

What? Stream temperatures on third order streams in Cape Breton Highlands National Park are being monitored to determine if mean water temperatures are changing over time. When? Monitoring frequency occurs annually from June 15th to September 15th on various park streams. How? Water temperature data loggers are deployed in selected park streams in the spring of each year and are retrieved in the fall. The loggers are programmed to record hourly water temperatures over the period of deployment and the results are downloaded at the end of the deployment period. Why? Water temperature can be used to detect landscape level changes due to issues such as hydroelectric development, thermal pollution, and deforestation. Water temperature also represents a direct indicator of the effects of climate change on aquatic environments.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

As part of the restoration monitoring component of the Deepwater Horizon early restoration project, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted single-beam and multibeam bathymetry surveys around Breton Island, Louisiana (LA), from August 3-5, 2022, for Field Activity Number (FAN) 2022-328-FA. The purpose of data collection was to develop a baseline digital elevation model of the seafloor around Breton Island for comparison with both previous and future elevation assessments, and to evaluate elevation change following island restoration. The survey encompassed approximately 65 square kilometers of nearshore environment including the former Mississippi River to Gulf Outlet and submerged areas of South Breton Island. The single-beam bathymetry was acquired using two 12-foot personal watercrafts (PWCs) and a 20-foot Twin Vee. All vessels were outfitted with high precision Global Navigation Satellite System (GNSS) ...

Historical Dataset of Breton Downs School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (2004-2005),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1988-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2001-2022),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)