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.

About this dataset

Context

The dataset tabulates the Marine City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Marine City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Marine City was 4,017, a 0.10% decrease year-by-year from 2022. Previously, in 2022, Marine City population was 4,021, a decline of 0.89% compared to a population of 4,057 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Marine City decreased by 596. In this period, the peak population was 4,613 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Marine City is shown in this column.
• Year on Year Change: This column displays the change in Marine City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marine City Population by Year. You can refer the same here

This dataset, released by DoD, contains geographic information for major installations, ranges, and training areas in the United States and its territories. This release integrates site information about DoD installations, training ranges, and land assets in a format which can be immediately put to work in commercial geospatial information systems. Homeland Security/Homeland Defense, law enforcement, and readiness planners will benefit from immediate access to DoD site location data during emergencies. Land use planning and renewable energy planning will also benefit from use of this data. Users are advised that the point and boundary location datasets are intended for planning purposes only, and do not represent the legal or surveyed land parcel boundaries.

The U.S. Geological Survey (USGS), Woods Hole Science Center (WHSC) has been an active member of the Woods Hole research community for over 40 years. In that time there have been many sediment collection projects conducted by USGS scientists and technicians for the research and study of seabed environments and processes. These samples are collected at sea or near shore and then brought back to the WHSC for study. While at the Center, samples are stored in ambient temperature, cold or freezing conditions, depending on the best mode of preparation for the study being conducted or the duration of storage planned for the samples. Recently, storage methods and available storage space have become a major concern at the WHSC. The shapefile sed_archive.shp, gives a geographical view of the samples in the WHSC's collections, and where they were collected along with images and hyperlinks to useful resources.

About this dataset

Context

The dataset tabulates the population of Marine by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Marine across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.4% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Marine is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Marine total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marine Population by Race & Ethnicity. You can refer the same here

Critical military training and testing on lands along the nation’s coastal and estuarine shorelines are increasingly placed at risk because of encroachment pressures in surrounding areas, impairments due to other anthropogenic disturbances, and changes in climate and sea level. The U.S. Department of Defense (DoD) intends to enhance and sustain its training and testing assets and also optimize its stewardship of natural resources through the development and application of an ecosystem-based management approach on DoD installations. To accomplish this goal, particularly for installations in estuarine/coastal environments, the Strategic Environmental Research and Development Program (SERDP) launched the Defense Coastal/Estuarine Research Program (DCERP) as a 10-year effort at Marine Corps Base Camp Lejeune (MCBCL) in North Carolina. The results of the second 5 years of the program (DCERP2) are presented in the DCERP2 Final Report.There were four overarching objectives of DCERP2. The first objective was to understand the effects of climate change impacts, including warming temperatures, variability in the hydrological cycle, storm events, and sea level rise on the coastal ecosystems at MCBCL from observations and measurements made over the 10-year program. The second objective was to understand the carbon cycle of the coastal and terrestrial ecosystems at MCBCL through a highly integrated sampling program. The third objective was to develop models, tools, and indicators to evaluate current and projected future ecosystem state changes and translate scientific findings into actionable information for installation managers. The last objective was to recommend adaptive management strategies to sustain ecosystem natural resources within the context of an active military installation.The Defense Coastal/Estuarine Research Program (DCERP) Monitoring and Research Data Information System (MARDIS) database is the long-term repository for all DCERP monitoring and research data. Metadata provide supporting information about monitoring and research data that include, but are not limited to, a description of the location where the data were collected, the field and laboratory methods used to collect and analyze the data, and the spatial extent and temporal frequency of the data collected. In MARDIS, metadata fields have been combined with the actual sampling data fields; therefore, DCERP metadata are not a separate element, table, or document, but instead they are an integral component of each data record.

The Active Marine Station Metadata is a daily metadata report for active marine bouy and C-MAN (Coastal Marine Automated Network) platforms from the National Data Buoy Center (NDBC). Metadata includes the station id, latitude/longitude (resolution to thousandths of a degree), the station name, the station owner, the program the station is associated with (e.g., TAO, NDBC, tsunami, NOS, etc.), station type (e.g., buoy, fixed, oil rig, etc.), notification if the station observes meteorology, currents, and water quality (signified by 'y' for yes and 'n' for no). If there is a 'y' associated with one of these tags, then the station has reported data in that category within the last 8 hours (or 24 hours for DART stations--Deep-Ocean Assessment Reporting of Tsunamis). If there is an 'n', data has not been received within those times. Stations are removed from the list when they are dismantled. The metadata information is written to a daily XML-formatted file.

About this dataset

Context

The dataset tabulates the data for the Marine City, MI population pyramid, which represents the Marine City population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Marine City, MI, is 21.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Marine City, MI, is 46.2.
• Total dependency ratio for Marine City, MI is 67.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Marine City, MI is 2.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Marine City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Marine City for the selected age group is shown in the following column.
• Population (Female): The female population in the Marine City for the selected age group is shown in the following column.
• Total Population: The total population of the Marine City for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marine City Population by Age. You can refer the same here

The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate. Sites were selected from the 2009 Base Structure Report (BSR), a summary of the DoD Real Property Inventory. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities, and only those in the fifty United States and US Territories were considered for inclusion. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

Two metrics were used to determine Collision Vulnerability: Macro-avoidance and habitat flexibility. Macro-avoidance (MA)—The macro-avoidance values for species indicate the species-specific probability of avoidance for birds associated with wind power infrastructure. For each species, we derived this value from observed macro-avoidance rates (via human observation and radar) at existing offshore wind power sites. In cases where species-specific data were not available, we used information from similar taxa. Habitat Flexibility (HF)—the degree to which a species shows habitat-specific feeding strategies (habitat flexibility) influences its vulnerability for displacement by offshore infrastructure. We evaluated literature involving diet, feeding habits, and habitat use to estimate HF or each marine bird species in the CCS database. These data support the following publication: Adams, J., Kelsey, E.C., Felis J.J., and Pereksta, D.M., 2016, Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure: U.S. Geological Survey Open-File Report 2016-1154, 116 p., https://doi.org/10.3133/ofr20161154. These data were revisied in June 2017 and the revision published in August 2017. Please be advised to use CCS_vulnerability_FINAL_VERSION_v10_DV.csv

The Marine Minerals Geochemical Database was created by NGDC as a part of a project to construct a comprehensive computerized bibliography and geochemical database as a Cooperative effort with the Ocean Minerals and Energy Division of the National Ocean Service of NOAA, and the Office of Marine Minerals and International Activities (INTERMAR) of the Minerals Management Service. The marine minerals project was begun in April of 1983, and ended in 1991. Active compilation of the bibliography ended at NGDC in the fall of 1991. Coding of geochemical analyses at NGDC ended in 1989. The marine minerals database contains geochemical analyses and auxiliary information on present-day marine deposits of primarily ferromanganese nodules and crusts, but also contains some data for heavy minerals, and phosphorites. The NOAA & MMS Marine Minerals CDROM data set, funded by INTERMAR, containing the marine minerals geochemical database and bibliography with access software for PC and Macintosh platforms was released by NGDC in October of 1991. Sources of data include the historic Scripps Institution of Oceanography (SIO) manganese nodule analysis file, the CNEXO ferromanganese nodule analysis file, ferromanganese crust data compiled by the U.S. Geological Survey, and data coded at NGDC from the scientific literature. A placer data set from the USGS is also included. The ferromanganese nodule/crust portion of the database contains over 140,000 element/oxide analyses. Approximately 1,400 heavy mineral analyses and fewer than 300 phosphorite analyses are in the database. The geochemical database is described online through the NGDC server.The geochemical database has been corrected and updated by the International Seabed Authority, sponsored by the United Nations - their geochemical database supersedes the NGDC database.

Six metrics were used to determine Population Vulnerability: global population size, annual occurrence in the California Current System (CCS), percent of the population present in the CCS, threat status, breeding score, and annual adult survival. Global Population size (POP)—to determine population size estimates for each species we gathered information tabulated by American Bird Conservancy, Birdlife International, and other primary sources. Proportion of Population in CCS (CCSpop)—for each species, we generated the population size within the CCS by averaging region-wide population estimates, or by combining state estimates for California, Oregon, and Washington for each species (if estimates were not available for a region or state, “NA” was recorded in place of a value) and then dividing the CCSpop value by the estimated global population size (POP) to yield the percentage of the population occurring in the CCS. Annual Occurrence in the CCS (AO)—for each species, we estimated the number of months per year within the CCS and binned this estimate into three categories: 1–4 months, 5–8 months, or 9–12 months. Threat Status (TS)—for each species, we used the International Union for Conservation of Nature (IUCN) species threat status (IUCN 2014) and the U.S. Fish and Wildlife national threat status lists (USFWS 2014) to determine TS values for each species. If available, we also evaluated threat status values from state and international agencies. Breeding Score (BR)—we determined the degree to which a species breeds and feeds its young in the CCS according to 3 categories: breeds in the CCS, may breed in the CCS, or does not breed in the CCS. Adult Survival (AS)—for each species, we referenced information to estimate adult annual survival, because adult survival among marine birds in general is the most important demographic factor that can affect population growth rate and therefore inform vulnerability. These data support the following publication: Adams, J., Kelsey, E.C., Felis J.J., and Pereksta, D.M., 2016, Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure: U.S. Geological Survey Open-File Report 2016-1154, 116 p., https://doi.org/10.3133/ofr20161154. These data were revisied in June 2017 and the revision published in August 2017. Please be advised to use CCS_vulnerability_FINAL_VERSION_v9_PV.csv

About this dataset

Context

The dataset tabulates the data for the Marine On St. Croix, MN population pyramid, which represents the Marine On St. Croix population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Marine On St. Croix, MN, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Marine On St. Croix, MN, is 65.7.
• Total dependency ratio for Marine On St. Croix, MN is 89.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Marine On St. Croix, MN is 1.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Marine On St. Croix population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Marine On St. Croix for the selected age group is shown in the following column.
• Population (Female): The female population in the Marine On St. Croix for the selected age group is shown in the following column.
• Total Population: The total population of the Marine On St. Croix for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marine On St. Croix Population by Age. You can refer the same here

The National Oceanographic Data Committee (NODC) of the Netherlands is the national platform for exchange of oceanographic and marine data and information, and for advisory services in the field of ocean and marine data management. The overall objective of the NODC is to effect a major and significant improvement in the overview and access to marine and oceanographic data and data-products from government and research institutes in the Netherlands. This is not done alone and only with a national focus, but on a European scale as an active partner in the Pan-European SeaDataNet project, complying to the INSPIRE and the new Marine Strategy EU Directives, and on a global scale as the Netherlands representative in major international organisations in this field, ICES and IOC-IODE. A major step has been made with the launch of the NODCi - National Infrastructure for access to Oceanographic and Marine Data and Information. This was developed in the framework of the Ruimte voor Geo-Informatie (RGI) programme as RGI-014 project. It includes a new NODC-i portal (www.nodc.nl), that provides users with a range of metadata services and a unique interface to the data management systems of each of the NODC members. By this Common Data Index (CDI) interface, users can get harmonised access to the datasets, that are managed in a distributed way at each of the NODC members. The NODCi portal functions as the Dutch node in the SeaDataNet infrastructure. The NODC CDI service contains several thousands of references to individual marine and oceanographic datasets. For inclusion in the National Geo Register these have been aggregated by combinations of Data Holding Centres - Disciplines. Each NGR - NODC record therefore represents a large number of individual metadata records and associated datasets. By following the specified URL to the NODCi portal, users can consider these metadata in detail and can achieve downloading of interesting datasets via the shopping cart transaction system, that is integrated in the NODCi portal.

This collection of GIS layers was prepared for the report Alaska Arctic Marine Fish Ecology Catalog (U.S. Geological Survey Scientific Investigations Report 2016–5038). The layers display geographic distribution and sampling locations for Arctic marine fish species in the region of United States sectors of the Chukchi and Beaufort Seas. Certain diadromous species (for example, Pacific salmon, char, and whitefishes) are treated as marine fishes (McDowall, 1987) because much of their life cycle is in marine and brackish environments. This synthesis of information is meant to provide current information and understanding of this fauna and its relative vulnerability to changing Arctic conditions. There are 104 species in the collection - some species have both polygon and point data layers. The report (SIR 2016-5038) also describes for each species its names - species, common, and colloquial; ecological role; physical description/attributes; range (geographic); relative abundance; depth range; habitats and life history; behavior; populations or stocks, reproduction, food and feeding, biological interactions, resilience, traditional and cultural importance, commercial fisheries, potential effects of climate change, areas for future research, cited references, and bibliography. The published report has one map for each species showing the polygon and point data as well as land and relevant administrative boundaries. Although some of the species also have an inland water presence, this report was concerned only with their marine conditions; therefore, the land component (from the original sources) has been clipped and removed. The distribution areas may be greater in extent than that shown in the report map bounding box limits. Distributions of marine fishes are shown in adjacent Arctic seas where reliable data are available. The report can be accessed at: https://doi.org/10.3133/sir20165038 This metadata document describes the collection of species data layers. Each species layer file will have its own metadata with details specific to that layer.

The U.S. Geological Survey (USGS), Woods Hole Science Center (WHSC) has been an active member of the Woods Hole research community for over 40 years. In that time there have been many sediment collection projects conducted by USGS scientists and technicians for the research and study of seabed environments and processes. These samples are collected at sea or near shore and then brought back to the WHSC for study. While at the Center, samples are stored in ambient temperature, cold or freezing conditions, depending on the best mode of preparation for the study being conducted or the duration of storage planned for the samples. Recently, storage methods and available storage space have become a major concern at the WHSC. The shapefile sed_archive.shp, gives a geographical view of the samples in the WHSC's collections, and where they were collected along with images and hyperlinks to useful resources.

The National Oceanographic Data Committee (NODC) of the Netherlands is the national platform for exchange of oceanographic and marine data and information, and for advisory services in the field of ocean and marine data management. The overall objective of the NODC is to effect a major and significant improvement in the overview and access to marine and oceanographic data and data-products from government and research institutes in the Netherlands. This is not done alone and only with a national focus, but on a European scale as an active partner in the Pan-European SeaDataNet project, complying to the INSPIRE and the new Marine Strategy EU Directives, and on a global scale as the Netherlands representative in major international organisations in this field, ICES and IOC-IODE. A major step has been made with the launch of the NODCi - National Infrastructure for access to Oceanographic and Marine Data and Information. This was developed in the framework of the Ruimte voor Geo-Informatie (RGI) programme as RGI-014 project. It includes a new NODC-i portal (www.nodc.nl), that provides users with a range of metadata services and a unique interface to the data management systems of each of the NODC members. By this Common Data Index (CDI) interface, users can get harmonised access to the datasets, that are managed in a distributed way at each of the NODC members. The NODCi portal functions as the Dutch node in the SeaDataNet infrastructure. The NODC CDI service contains several thousands of references to individual marine and oceanographic datasets. For inclusion in the National Geo Register these have been aggregated by combinations of Data Holding Centres - Disciplines. Each NGR - NODC record therefore represents a large number of individual metadata records and associated datasets. By following the specified URL to the NODCi portal, users can consider these metadata in detail and can achieve downloading of interesting datasets via the shopping cart transaction system, that is integrated in the NODCi portal.

The National Oceanographic Data Committee (NODC) of the Netherlands is the national platform for exchange of oceanographic and marine data and information, and for advisory services in the field of ocean and marine data management. The overall objective of the NODC is to effect a major and significant improvement in the overview and access to marine and oceanographic data and data-products from government and research institutes in the Netherlands. This is not done alone and only with a national focus, but on a European scale as an active partner in the Pan-European SeaDataNet project, complying to the INSPIRE and the new Marine Strategy EU Directives, and on a global scale as the Netherlands representative in major international organisations in this field, ICES and IOC-IODE. A major step has been made with the launch of the NODCi - National Infrastructure for access to Oceanographic and Marine Data and Information. This was developed in the framework of the Ruimte voor Geo-Informatie (RGI) programme as RGI-014 project. It includes a new NODC-i portal (www.nodc.nl), that provides users with a range of metadata services and a unique interface to the data management systems of each of the NODC members. By this Common Data Index (CDI) interface, users can get harmonised access to the datasets, that are managed in a distributed way at each of the NODC members. The NODCi portal functions as the Dutch node in the SeaDataNet infrastructure. The NODC CDI service contains several thousands of references to individual marine and oceanographic datasets. For inclusion in the National Geo Register these have been aggregated by combinations of Data Holding Centres - Disciplines. Each NGR - NODC record therefore represents a large number of individual metadata records and associated datasets. By following the specified URL to the NODCi portal, users can consider these metadata in detail and can achieve downloading of interesting datasets via the shopping cart transaction system, that is integrated in the NODCi portal.

AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These 'environmental envelopes' are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species. Maps show the color-coded likelihood of a species to occur in a half-degree cell, with about 50 km side length near the equator. Experts are able to review, modify and approve maps.

Environmental envelopes are created in part (FAO areas, bounding boxes, depth ranges) from respective information in species databases such as FishBase and in part from occurrence records available from OBIS or GBIF. AquaMaps predictions have been validated successfully for a number of species using independent data sets and the model was shown to perform equally well or better than other standard species distribution models, when faced with the currently existing suboptimal input data sets (Ready et al. 2010).

The creation of AquaMaps is supported by the following projects: MARA, Pew Fellows Program in Marine Conservation, INCOFISH, Sea Around Us, and Biogeoinformatics of Hexacorals.

Kaschner, K., D.P. Tittensor, J. Ready, T Gerrodette and B. Worm (2011). Current and Future Patterns of Global Marine Mammal Biodiversity. PLoS ONE 6(5): e19653. PDF

Ready, J., K. Kaschner, A.B. South, P.D Eastwood, T. Rees, J. Rius, E. Agbayani, S. Kullander and R. Froese (2010). Predicting the distributions of marine organisms at the global scale. Ecological Modelling 221(3): 467-478. PDF

Copyright Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. (CC-BY-NC) You are welcome to include maps from www.aquamaps.org in your own web sites for non-commercial use, given that such inserts are clearly identified as coming from AquaMaps, with a backward link to the respective source page.

Contacts Rainer Froese, GEOMAR, Coordinator rfroese@geomar.de Kristin Kaschner, Uni Freiburg, model development Kristin.Kaschner@biologie.uni-freiburg.de Ma. Lourdes D. Palomares, UBC, extension to non-fish marine organisms m.palomares@fisheries.ubc.ca Sven Kullander, NRM, extension to freshwater ve-sven@nrm.se Jonathan Ready, NRM, implementation jonathan.ready@gmail.com Tony Rees, formerly with CSIRO, mapping tools Tony.Rees@marinespecies.org Paul Eastwood, SOPAC, validation Paul.Eastwood@sopac.org Andy South, CEFAS, validation andy.south@cefas.co.uk Josephine Rius-Barile, Q-quatics, database programming / data collection j.barile@q-quatics.org Cristina Garilao, GEOMAR, web programming cgarilao@geomar.de Kathleen Kesner-Reyes, Q-quatics, map validation k.reyes@q-quatics.org Elizabeth Bato, Q-quatics, map validation (non-fish) e.david@q-quatics.org

Citing AquaMaps

General citation Kaschner, K., K. Kesner-Reyes, C. Garilao, J. Rius-Barile, T. Rees, and R. Froese. 2019. AquaMaps: Predicted range maps for aquatic species. World wide web electronic publication, www.aquamaps.org, version 10/2019.

Cite individual maps as, e.g., Computer Generated Map for Gadus morhua (Atlantic cod). www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019).

Reviewed Native Distribution Map for Gadus morhua (Atlantic cod). www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019).

Cite biodiversity maps as, e.g., Shark and Ray Biodiversity Map. www.aquamaps.org, version 10/2019 (accessed 01 Oct 2019).

Cite the environmental dataset as, e.g., Kesner-Reyes, K., Segschneider, J., Garilao, C., Schneider, B., Rius-Barile, J., Kaschner, K., and Froese, R.(editors). AquaMaps Environmental Dataset: Half-Degree Cells Authority File (HCAF). World Wide Web electronic publication, www.aquamaps.org/main/envt_main.php, ver. 7, 10/2019.

Using Full or Large Sets of AquaMaps Data We encourage partnering with the AquaMaps team for larger research projects or publications that would make intensive use of AquaMaps to ensure that you have access to the latest version and/or reviewed maps, the limitations of the data set are clearly understood and addressed, and that critical maps and/or unlikely results are recognized as such and double-checked for correctness prior to drawing conclusions and/or subsequent publication.

The AquaMaps team can be contacted through Rainer Froese (rfroese@geomar.de) or Kristin Kaschner (Kristin.Kaschner@biologie.uni-freiburg.de).

Privacy Policy AquaMaps uses log data generate usage statistics. Like most websites, AquMaps gathers information about internet protocol (IP) addresses, browser, referring pages, operating system, date/time, clicks, and visited pages, and store it in log files. This information is used to find errors in our website, analyze trends, and determine country of origin of our users. The log files are stored indefinitely. Only the administrators of the AquaMaps server has direct access to the log files. The information is used to inform further development of AquaMaps. Usage statistics may be shared with third parties for non-commercial purposes.

Disclaimer AquaMaps generates standardized computer-generated and fairly reliable large scale predictions of marine and freshwater species. Although the AquaMaps team and their collaborators have obtained data from sources believed to be reliable and have made every reasonable effort to ensure its accuracy, many maps have not yet been verified by experts and we strongly suggest you verify species occurrences with independent sources before usage. We will not be held responsible for any consequence from the use or misuse of these data and/or maps by any organization or individual.

Copyright This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License (CC-BY-NC). You are welcome to include text, numbers and maps from AquaMaps in your own web sites for non-commercial use, given that such inserts are clearly identified as coming from AquaMaps, with a backward link to the respective source page. Note that although species photos and drawings draw mainly from FishBase and SeaLifeBase, they belong to the indicated persons or organizations and have their own copyright statements.

The National Oceanographic Data Committee (NODC) of the Netherlands is the national platform for exchange of oceanographic and marine data and information, and for advisory services in the field of ocean and marine data management. The overall objective of the NODC is to effect a major and significant improvement in the overview and access to marine and oceanographic data and data-products from government and research institutes in the Netherlands. This is not done alone and only with a national focus, but on a European scale as an active partner in the Pan-European SeaDataNet project, complying to the INSPIRE and the new Marine Strategy EU Directives, and on a global scale as the Netherlands representative in major international organisations in this field, ICES and IOC-IODE. A major step has been made with the launch of the NODCi - National Infrastructure for access to Oceanographic and Marine Data and Information. This was developed in the framework of the Ruimte voor Geo-Informatie (RGI) programme as RGI-014 project. It includes a new NODC-i portal (www.nodc.nl), that provides users with a range of metadata services and a unique interface to the data management systems of each of the NODC members. By this Common Data Index (CDI) interface, users can get harmonised access to the datasets, that are managed in a distributed way at each of the NODC members. The NODCi portal functions as the Dutch node in the SeaDataNet infrastructure. The NODC CDI service contains several thousands of references to individual marine and oceanographic datasets. For inclusion in the National Geo Register these have been aggregated by combinations of Data Holding Centres - Disciplines. Each NGR - NODC record therefore represents a large number of individual metadata records and associated datasets. By following the specified URL to the NODCi portal, users can consider these metadata in detail and can achieve downloading of interesting datasets via the shopping cart transaction system, that is integrated in the NODCi portal.