Graph and download economic data for Expenses for Other Motion Picture and Video Industries, Establishments Subject To Federal Income Tax, Employer Firms (OMPAVIEESTF3512199) from 2003 to 2022 about video, audio-visual, employer firms, establishments, tax, expenditures, federal, income, industry, and USA.

Inventory of video surveillance cameras in stations and on trains.

The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole. The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Graph and download economic data for Total Revenue for Motion Picture and Video Production and Distribution, All Establishments, Employer Firms (REVEF5121XALLEST) from 2002 to 2022 about video, audio-visual, distributive, employer firms, accounting, revenue, establishments, production, services, and USA.

This dataset consists of video transect images (TIF files) from CRAMP surveys taken in 2002 at 23 sites, some of which had multiple depths. Estimates of substrate type, rugosity, species type, and percent coverage will be provided to the NOAA data system within a separate data set. The video images are important for future researchers to resolve any question about how the image data were interpreted for the quantitative database, to provide the opportunity to re-analyze the images using other methods, and to return to the same locations for future comparisons.

United States Exports: Census Basis: FAS: sa: Televesions & Video Equipment data was reported at 367.000 USD mn in Sep 2018. This records a decrease from the previous number of 386.000 USD mn for Aug 2018. United States Exports: Census Basis: FAS: sa: Televesions & Video Equipment data is updated monthly, averaging 329.000 USD mn from Dec 1993 (Median) to Sep 2018, with 298 observations. The data reached an all-time high of 510.000 USD mn in Jul 2011 and a record low of 131.000 USD mn in Feb 1994. United States Exports: Census Basis: FAS: sa: Televesions & Video Equipment data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA005: Trade Statistics: Census Basis: Seasonally Adjusted: Exports by End-Use Commodity.

The Underwater Visual Census (UVC) transect was carried out by scientific divers during the RESTORE expedition on board the ship Arctic Ocean during September 2021, focusing on the monitoring oyster pilot reefs and the ecology of benthic assemblages in the Borkum Reef Ground marine protected area. Due to logistic problems, only one of the two planned transects was done. The UVC transect consisted of seven 1x1m sampling regions. To define these regions, divers used a 1m-long PVC pipe. At each sampling region, the diver spent approximately 1 minute counting and identifying, to the lowest taxonomic level possible, as many organisms as possible. The UVC transect provide insights into the general composition of key species, higher systematic groups and ecological guilds. Files included correspond to the UVC video, as well as the abundance of organisms at each sampling region. Precise geographical coordinates for start/end of the transect, as well as that for individual sampling regions is unavailable.

The number of employees and annual salaries of enterprises in the publishing, audiovisual production, broadcasting and information services, real estate, professional, scientific and technical services, and support services industries in the 105 Industrial and Service Census, classified by industry and operating income.

United States Imports: Census Basis: Customs: sa: Televisions & Video Equipment data was reported at 2.280 USD bn in Sep 2018. This records an increase from the previous number of 2.027 USD bn for Aug 2018. United States Imports: Census Basis: Customs: sa: Televisions & Video Equipment data is updated monthly, averaging 2.161 USD bn from Dec 1993 (Median) to Sep 2018, with 298 observations. The data reached an all-time high of 3.747 USD bn in Jun 2008 and a record low of 640.000 USD mn in Dec 1993. United States Imports: Census Basis: Customs: sa: Televisions & Video Equipment data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA006: Trade Statistics: Census Basis: Seasonally Adjusted: Imports by End-Use Commodity.

This dataset contains video products from R/V Akademik Mstislav Keldysh, HOV MIR I and HOV MIR II in the Mid-Atlantic Ridge (MAR) and Charlie Gibbs Fracture Zone (CGFZ) from 2002 to 2003. The Census of Marine Life (CoML) was an international research effort that strived to assess and explain the diversity, distribution and abundance of marine organisms throughout the world's oceans.

Due to the alarming trend in the reduction of Arctic sea ice cover, particularly in the Chukchi Sea located between the Russian Federation (Chukotka) and the United States (Alaska) and northwards into the High Arctic, the Pacific Arctic is arguably the fastest changing region in the world's fastest changing ocean. Unfortunately, without baseline information about Pacific Arctic oceanographic and ecosystem conditions, accurately documenting the extent of fundamental ecosystem changes is impossible. The collection and integration of biological, physical, and chemical information during the RUSALCA expeditions were designed to gather information where the summer ice edge is rapidly advancing northwards and these observations will provide a major step toward obtaining the foundation of information necessary for detecting ongoing and future change in this delicate ecosystem.

Graph and download economic data for Expenses for Motion Picture and Video Exhibition, All Establishments, Employer Firms (MPAVEEAEEF351213) from 2003 to 2022 about video, audio-visual, employer firms, establishments, expenditures, and USA.

Due to the alarming trend in the reduction of Arctic sea ice cover, particularly in the Chukchi Sea located between the Russian Federation (Chukotka) and the United States (Alaska) and northwards into the High Arctic, the Pacific Arctic is arguably the fastest changing region in the world's fastest changing ocean. Unfortunately, without baseline information about Pacific Arctic oceanographic and ecosystem conditions, accurately documenting the extent of fundamental ecosystem changes is impossible. The collection and integration of biological, physical, and chemical information during the RUSALCA expeditions were designed to gather information where the summer ice edge is rapidly advancing northwards and these observations will provide a major step toward obtaining the foundation of information necessary for detecting ongoing and future change in this delicate ecosystem.

Assessing underwater biodiversity is labour-intensive and costly, but is crucial for measuring the extent of the decline in local fish stock. In most cases, Underwater Visual Census (UVC) is the preferred method, however this can be costly in terms of human effort and is limited by meteorological and logistical factors. Advances in technology allows the utilisation of more autonomous video recording methods (i.e. Remote Operated Vehicles (ROV)) which addresses these limitations. This study used a transect-wise UVC coupled with diver operated videos (DOV). For the video analysis, a comprehensive fully automated pipeline was developed to extract frames from DOV and perform colour correction. This pipeline integrates a YOLO-based model to detect 20 Mediterranean fish species and validate the presence or absence of each species within individual transects. This study was conducted to evaluate the feasibility of using video-based methods for UVC with minimal human-input. The result of automa..., 1. Study area and data collection The training dataset (DATAT ) was gathered in eight different locations in the Mediterranean Sea along the French Riviera, following the same UVC protocol on each site (Harmelin-Vivien et al., 1985). The depth ranged from 1-37m and was carried out during the whole year in 2022 (cold and warm season) to cover the full range of conditions and possibilities of fish occurrences. The experimental dataset (DATAE) was recorded in October 2023 in and around two protected areas, one no-take zone (Cap Roux) and one Natura2000 site (Corniche Varoise), which both have elevated biodiversity. The specific coordinates and meta data can be found in the supplementary material (Table S1). A total of 64 videos, each corresponding to a transect, from 14 sites (8 on seagrass meadows and 6 on rocky substrates) were evaluated and compared. Each site consists of 3 to 6 transects, depending on the availability of video recordings and UVC data from the divers. The videos were ob..., , # Data from: Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea

https://doi.org/10.5061/dryad.f7m0cfz6f

Description of the data and file structure

1. Study area and data collection

The training dataset (DATA_T) was gathered in eight different locations in the Mediterranean Sea along the French Riviera, following the same UVC protocol on each site. The depth ranged from 1-37m and was carried out during the whole year in 2022 (cold and warm season) to cover the full range of conditions and possibilities of fish occurrences.

The experimental dataset (DATA_E) was recorded in October 2023 in and around two protected areas, one no-take zone (Cap Roux) and one Natura2000 site (Corniche Varoise), which both have elevated biodiversity. A total of 64 videos, each corresponding to a transect, from 14 sites (8 on seagrass meadows and 6 on rocky substrates) were evaluated and compared. Each site consists of...

The Collaborative East Antarctic Marine Census (CEAMARC) voyage was conducted on the Aurora Australis between December 2007 and January 2008. The voyage was operated as part of the Census of …Show full descriptionThe Collaborative East Antarctic Marine Census (CEAMARC) voyage was conducted on the Aurora Australis between December 2007 and January 2008. The voyage was operated as part of the Census of Antarctic Marine Life (CAML) program to document the benthic communities and their associated habitats across the George V Shelf in east Antarctica. Underwater video footage was collected from 22 sites across the shelf using Geoscience Australia's Deep Under Water Camera (DUCII). Transects were run for 15-40 minutes across depths ranging from 140 m to 1200 m. All video footage is stamped with the UTC time. Stations are named according to the CEAMARC station number followed by the instrument used (eg. CAM for camera) and then the deployment number. For example 09CAM05 was deployed at CEAMARC site 9 and was the 5th camera transect. The location and depth of each station is listed below. For further information on this survey please refer to the post-survey report (GA Record 2009/05 - Geocat #67381). Station Depth Longitude Latitude 04CAM04 259.61 141.985220 -66.341583 07CAM07 197.57 142.626933 -66.551262 08CAM06 391.27 142.358735 -66.555997 09CAM05 357.07 142.010337 -66.550603 12CAM21 201.26 140.825277 -66.558158 26CAM22 219.99 140.030193 -66.526848 27CAM01 436.63 142.661085 -65.997597 30CAM02 432.03 143.649810 -65.998757 39CAM08 863.95 142.967960 -66.551365 41CAM09 579.30 142.629580 -66.735847 42CAM10 409.75 142.680007 -66.868050 43CAM11 177.00 143.289108 -66.758878 44CAM12 766.04 143.657790 -66.687152 47CAM13 184.31 144.662358 -67.035295 49CAM14 1175.27 145.209785 -67.031225 50CAM16 593.06 145.258282 -66.746837 51CAM15 537.11 145.490357 -66.750387 57CAM17 639.44 145.009407 -66.741943 58CAM18 844.64 144.655195 -66.748407 59CAM19 912.16 144.329455 -66.744992 61CAM03 657.39 142.983383 -66.322688 63CAM20 429.08 143.002492 -65.862048

Mapping Layer Data Released: 06/15/2017, | Last Updated 04/20/2024Data Currency: This data is checked semi-annually from it's enterprise federal source fo 2010 CENSUS Data and will support mapping, analysis, data exports and the Open Geospatial Consortium (OGC) Application Programming Interface (API).Data Update Frequency: Twice, YearlyData Cycle | History (as required below)QA/QC Performed: December, 2024Next Scheduled Data QA/QC: July, 2024CDC PLACES (2010 CENSUS) FEATURE LAYERData Requester: Rhode Island Executive Office of Health and Human Service (OHHS) via Health Equity Institute (HEI).Data Requester: Rhode Island Department of Health, Maternal Child Health via Health Equity Institute (HEI).Data Request: Provide a database deliverable via download that contains both US CENSUS tracts and USPS Zip Code Tabulation Areas (ZCTA).HEALTH EQUITY INSTITUTE DATA CONNECT RI Using Modern GIS (Mapping)🡅 Click IT 🡅Facilitate transformative mapping visualizations that engage constituents and measure the impact of real-world solutions.Instructions to Join Your Data Provided Below STEP 1: Video (Pending)STEP 2: Video (Pending)STEP 3: Video (Pending)There are twenty-two U.S. CENSUS fields (download here) that you can join to your datasets. For additional insight, please contact the Center for Health Data and Analysis (CHDA) Rhode Island Department of Health (GIS) Mapping Department for assistance.Database Enhancement: This database contains two (2) additional data fields for consideration to be added to the existing 2020 State of Rhode Island Health Equity Map.Zip Code Tabulation Area (ZCTA)ZCTA/Tract Relationship (Singular ZCTAs per Tract, versus Multiple ZCTAs per Tract)Additional Information: While ZCTAs can be useful for certain qualitative purposes, such as broad or general high level analysis, they may not provide the level of granularity and accuracy required for in-depth demographic research which is required for policy mapping. ZCTAs can change frequently as the US Postal Service (USPS) adjusts postal routes and boundaries. These changes can lead to inconsistencies and challenges in tracking demographic trends and making accurate comparisons over time.RIDOH GIS encourages analysts to make the appropriate choice of using census based data, with their consistent boundaries readily available for suitability for spatial analysis when conducting detailed demographic research.Here are a few reasons why you might want to consider using census based data (tracts, block groups, and blocks) instead of ZCTAs:1. Inaccurate Representations: ZCTAs are not designed for statistical analysis or demographic research. They are created by the United States Postal Service (USPS) for efficient mail delivery and can often span multiple cities, counties, or even states. As a result, ZCTAs may not accurately represent the actual geographic boundaries or demographic characteristics of a specific area.2. Lack of Granularity: ZCTAs are typically larger than census tracts, which are smaller, more homogeneous geographic units defined by the U.S. Census Bureau. Census tracts are designed to be relatively consistent in terms of population size, allowing for more detailed analysis at a local level. ZCTAs, on the other hand, can vary significantly in terms of population size, making it challenging to draw precise conclusions about specific neighborhoods or communities.3. Data Availability and Compatibility: Census tracts are used by the U.S. Census Bureau to collect and report demographic data. Consequently, a wide range of demographic information, such as population counts, age distribution, income levels, and education levels, is readily available at the census tract level. In contrast, data specifically tailored to ZCTAs may be more limited, making it difficult to obtain comprehensive and consistent data for demographic analysis.4. Changes Over Time: Census tracts are relatively stable over time, allowing for consistent longitudinal analysis. ZCTAs, however, can change frequently as the USPS adjusts postal routes and boundaries. These changes can lead to inconsistencies and challenges in tracking demographic trends and making accurate comparisons over time.5. Spatial Analysis: Census tracts are designed to maintain a level of spatial proximity, adjacency, or connectedness of these data containers while providing consistency and continuity over time - making them useful for spatial analysis. Mapping. ZCTAs, on the other hand, may not exhibit the same level of spatial coherence due to their primary purpose being mail delivery efficiency rather than geographic representation.State Agencies - Contact RIDOH GIS - Learn More About Mapping Data Available at the Census Tract LevelRIDOH GIS releases this database with the caveats noted above and that the researcher can accurately align the ZCTAs with the corresponding census tracts. Careful consideration should be given to the comparability and compatibility of the data collected at different geographic levels to ensure valid and meaningful statistical conclusions. Data Dictionary: 2010 Decennial CensusOBJECT ID - the count of each census tract entity.GEOID (10) STATE,COUNTY,TRACT - Numeric US CENSUS Tract Description (2010) HEZ (10) - Health Equity Zone (2020)LOCATION (10) - Plain Language Census Tract Descriptor (2010)COUNTY (10) NAME - County Name (2010)STATE (10) NAME - State Name (2010)ZCTA (23) - Zip Code Tabulation Area - Numeric US CENSUS ZCTA Description (2023)ZCTA/TRACT CONTEXT - Number of ZCTAs (Singular/Multiple) that reside within a US CENSUS TractST (10) - Numeric US CENSUS Tract Description (2010) CO (10) - Numeric US CENSUS Tract Description (2010)ST (10) CO (10) - Numeric US CENSUS Tract Description (2010)TRACT (10) - Numeric US CENSUS Tract Description (2010)GEOID (10) - Numeric US CENSUS Tract Description (2010)TRIBAL TRACT (10) - Numeric US CENSUS Tract Description (2010)Additional Mapping DataThe user is provided authoritative Federal Information Processing Standards (FIPS) such as numeric descriptions of state, county and tract identification, in addition to shape and length measurements of each census tract for data joining purposes.STATE (10) - Federal Information Processing Standards (FIPS)COUNTY (10) - Federal Information Processing Standards (FIPS)STATE (10), COUNTY (10) - Federal Information Processing Standards (FIPS)TRACT (10) - Federal Information Processing Standards (FIPS)TRIBAL TRACT (10) - Federal Information Processing Standards (FIPS)ST ABBRV (10) - State AbbreviationShape_Length - Total length of the polygon's (census tract) perimeter, in the units used by the feature class' coordinate system.Shape_Area - Total area of the polygon's (census tract) in the units used by the feature class' coordinate system.Data Source: Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current Open Geospatial Consortium (OGC) Application Programming Interface (API) Census ZIP Code Tabulation Areas - OGC Features copy this link to embed it in OGC Compliant viewers. For more information, please visit: ZIP Code Tabulation Areas (ZCTAs)To Report Data Discrepancies Contact the Rhode Island Department of Health (RIDOH) GIS (mapping) OfficePlease Be Certain To --Provide a Brief Description of What the Discrepancy IsInclude Your, Name, Organization, Telephone NumberAttach the Complete .xlsx with the Discrepancy Highlighted

This dataset is used in the demo video of the course Publish Census data onODS Academy, Opendatasoft's training platform.

These are full-resolution boundary files, derived from TIGER/Line Shapefiles, the fully-supported, core geographic products from the US Census Bureau. They are extracts of selected geographic and cartographic information from the US Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. These include information for the 50 states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). These include polygon boundaries of geographic and statistical areas, linear features including roads and hydrography, and point features. These files are converted and made available in BigQuery by the Cloud Public Datasets Program to support geospatial analysis through BigQuery GIS . The dataset describes the boundaries of the following US areas: States Counties 115th & 116th US Congressional Districts Metropolitan and Micropolitan Statistical Areas Urban Areas City Limits Combined Statistical Areas Coastline Populated Places National border For more details on each dataset, see the technical documentation published by the Census Bureau. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .</

The Collaborative East Antarctic Marine Census (CEAMARC) voyage was conducted on the Aurora Australis between December 2007 and January 2008. The voyage was operated as part of the Census of Antarctic Marine Life (CAML) program to document the benthic communities and their associated habitats across the George V Shelf in east Antarctica. Underwater video footage was collected from 22 sites across the shelf using Geoscience Australia's Deep Under Water Camera (DUCII). Transects were run for 15-40 minutes across depths ranging from 140 m to 1200 m. All video footage is stamped with the UTC time. Stations are named according to the CEAMARC station number followed by the instrument used (eg. CAM for camera) and then the deployment number. For example 09CAM05 was deployed at CEAMARC site 9 and was the 5th camera transect. The location and depth of each station is listed below. For further information on this survey please refer to the post-survey report (GA Record 2009/05 - Geocat #67381). Station Depth Longitude Latitude 04CAM04 259.61 141.985220 -66.341583 07CAM07 197.57 142.626933 -66.551262 08CAM06 391.27 142.358735 -66.555997 09CAM05 357.07 142.010337 -66.550603 12CAM21 201.26 140.825277 -66.558158 26CAM22 219.99 140.030193 -66.526848 27CAM01 436.63 142.661085 -65.997597 30CAM02 432.03 143.649810 -65.998757 39CAM08 863.95 142.967960 -66.551365 41CAM09 579.30 142.629580 -66.735847 42CAM10 409.75 142.680007 -66.868050 43CAM11 177.00 143.289108 -66.758878 44CAM12 766.04 143.657790 -66.687152 47CAM13 184.31 144.662358 -67.035295 49CAM14 1175.27 145.209785 -67.031225 50CAM16 593.06 145.258282 -66.746837 51CAM15 537.11 145.490357 -66.750387 57CAM17 639.44 145.009407 -66.741943 58CAM18 844.64 144.655195 -66.748407 59CAM19 912.16 144.329455 -66.744992 61CAM03 657.39 142.983383 -66.322688 63CAM20 429.08 143.002492 -65.862048

Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Number of Companies: Services: Motion Picture, Video, Television & Music Production & Publishing data was reported at 71.000 Unit in 2015. This records an increase from the previous number of 48.000 Unit for 2010. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Number of Companies: Services: Motion Picture, Video, Television & Music Production & Publishing data is updated yearly, averaging 59.500 Unit from Dec 2010 (Median) to 2015, with 2 observations. The data reached an all-time high of 71.000 Unit in 2015 and a record low of 48.000 Unit in 2010. Brazil Foreign Capital Census: (FDI) Foreign Direct Investment: Equity Capital: Number of Companies: Services: Motion Picture, Video, Television & Music Production & Publishing data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Investment – Table BR.OC007: Foreign Capital Census: FDI: Equity Capital: Number of Companies: by Economic Activity Sector.