Introduced (non-native) species that become established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. The United States Register of Introduced and Invasive Species (US-RIIS, https://doi.org/10.5066/P95XL09Q), as of 2021-11-08, is comprised of three lists, for the localities of Alaska (AK, with 532 records), Hawaii (HI, with 6,075 records), and the conterminous United States (L48, with 8,657 records). Each includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to be harmful there; and/or have been used for biological control in the locality. To be included in the US-RIIS, a taxon must be non-native everywhere in the locality and established (reproducing) anywhere in the locality. Native pest species are not included. Each record has information on taxonomy, dates of introd ...

Global Government Open Data Management Platform Market size was valued at USD 1.75 Billion in 2024 and is projected to reach USD 3.38 Billion by 2032, growing at a CAGR of 8.54% from 2026 to 2032.

Global Government Open Data Management Platform Market Drivers

Increasing Demand for Transparency and Accountability: There is a growing public demand for transparency in government operations, which drives the adoption of open data initiatives. According to a survey by the World Bank, 85% of respondents in various countries indicated that transparency in government decisions is crucial for reducing corruption, prompting governments to implement open data platforms.

Technological Advancements: Rapid advancements in information and communication technology (ICT) facilitate the development and deployment of open data management platforms. The International Telecommunication Union (ITU) reported that global Internet penetration reached approximately 64% in 2023, enabling more citizens to access open data and engage with government services online.

Government Initiatives and Policies: Many governments are actively promoting open data through policies and initiatives. For instance, the U.S. government's Open Data Initiative, launched in 2013, has led to the publication of over 300,000 datasets on Data.gov. Additionally, the European Union's Open Data Directive, which aims to make public sector data available, is further encouraging governments to embrace open data practices.

Data are collected as of the end of the month for March, June, September and December, and generally are released three months later. There are two reports showing the same structure and asset information for each U.S. office, but in different orders. Offices located in Puerto Rico, American Samoa, Guam, the Virgin Islands and other U.S.-affiliated insular areas are excluded. The first report lists the offices by institution type. The second report is by the home country of the foreign bank. Each report shows asset totals and subtotals for the categories displayed.

Context

Cultural diversity in the U.S. has led to great variations in names and naming traditions and names have been used to express creativity, personality, cultural identity, and values. Source: https://en.wikipedia.org/wiki/Naming_in_the_United_States

Content

This public dataset was created by the Social Security Administration and contains all names from Social Security card applications for births that occurred in the United States after 1879. Note that many people born before 1937 never applied for a Social Security card, so their names are not included in this data. For others who did apply, records may not show the place of birth, and again their names are not included in the data.

All data are from a 100% sample of records on Social Security card applications as of the end of February 2015. To safeguard privacy, the Social Security Administration restricts names to those with at least 5 occurrences.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:usa_names

https://cloud.google.com/bigquery/public-data/usa-names

Dataset Source: Data.gov. 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.

Banner Photo by @dcp from Unplash.

Inspiration

What are the most common names?

What are the most common female names?

Are there more female or male names?

Female names by a wide margin?

This dataset relates to a research project that explored the increased politicisation of the Voice of America (VOA) international news network during the period when a Trump appointee, Michael Pack, was the CEO of the US Agency for Global Media (USAGM). We analyse why and how VOA was captured by Trump allies, and the effects of this increased politicisation on the US-funded network and on democratic backsliding within the US more broadly. The research analysed 15,000 pages of material, 12,000 pages of this consisted of private correspondence and internal documents released by USAGM in response to Freedom of Information (FOI) requests. The deposited spreadsheet provides details on the nature and location of these archives, while the methodology document details how we combined analysis of FOI material with semi-structured interviews, the analysis of news and social media, and document analysis of contextual material, including government reports, court verdicts, and documentation released by the January 6 Committee. The dataset relates the academic monograph, provisionally entitled: Wright, Kate, Scott, Martin, Bunce, Mel. Capturing the Voice of America: Trump, democratic backsliding, and international public service media. (Accepted by Oxford University Press).

counts of new cases opened in chidl welfare preventive services by by borough and community district of family

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points). All of the Digital City Map (DCM) datasets are featured on the Streets App All previously released versions of this data are available at BYTES of the BIG APPLE- Archive Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

Context

The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

Content

Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

Update Frequency: Monthly

Querying BigQuery Tables

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

Dataset Source: http://www.bls.gov/data/

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.

Banner Photo by Clark Young from Unsplash.

Inspiration

What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

This dataset includes all births for a given year and includes all items released in the public-use file. Additional information in this file includes state and county of residence (cities with a population of 100,000 or greater) and exact date of birth (which includes day of month, month, and year).

Displays the locations of launch ramps (slipways) for the State of Hawaii. While harbors may also have launch ramps, these sites solely provide a launch ramp and no other facilities. A launch ramp is a ramp on the shore by which small ships or boats can be moved to and from the water, usually from a trailer.

For further information, please see: http://dlnr.hawaii.gov/dobor/dobor-facilities/

This data collection provides comprehensive criminal history data on prisoners released from custody in 1983. Precise estimates are supplied on recidivism among prisoners of all ages with all types of postrelease supervision. Data cover recidivism both within and outside the states in which the prisoners were released. Variables include sociodemographic indices, type of sentence, length of sentence, offense, court action, and date of court action.

The Department of City Planning aggregates information about 30,000+ facilities and program sites that are owned, operated, funded, licensed, or certified by a City, State, or Federal agency in the City of New York into a central database called the City Planning Facilities Database (FacDB). These facilities generally help to shape quality of life in the city's neighborhoods, and this dataset is the basis for a series of planning activities. This public data resource allows all New Yorkers to understand the breadth of government resources in their neighborhoods. The data is also complemented with a new interactive web map that enables users to easily filter the data for their needs. Users are strongly encouraged to read the database documentation, particularly with regard to analytical limitations. Questions about this database can be directed to dcpopendata@planning.nyc.gov All previously released versions of this data are available at BYTES of the BIG APPLE Archive

This dataset includes all infant deaths that were linked to their corresponding birth certificate and includes all items released in the public-use file. Additional information in this file includes state and county of residence and exact dates of birth and death (which includes day of month, month, and year).

The FireOccurrence point layer represents ignition points, or points of origin, from which individual USFS wildland fires started. Data are maintained at the Forest/District level, or their equivalent, to track the occurrence and the origin of individual USFS wildland fires. Forests are working to include historical data, which may be incomplete.National USFS fire occurrence locations where wildland fires have historically occurred on National Forest System Lands and/or where protection is the responsibility of the US Forest Service. Knowing where wildland fire events have happened in the past is critical to land management efforts in the future.This data is utilized by fire & aviation staffs, land managers, land planners, and resource specialists on and around National Forest System Lands. The attributes included within the FireOccurrence point layer are needed to meet the needs of the US Forest Service, for data exchange between interagency data systems, to relate to the FirePerimeter polygon data layer and various fire data systems, and to track the locations of wildland fires.*This data has been updated to match 2021 National GIS Data Dictionary Standards.Metadata and DownloadsThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

The New York City Water Trail connects New York City’s rivers, creeks, and waterways together for paddling enthusiasts. Use this data to find launch sites on the water trail for kayaks and other openwater rowing craft

This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2022 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2025. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1986 through 1989, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the U.S. EEZ off Alaska. Four surveys during that time period (1986-1987) focused on the Bering Sea region. The results of these surveys were 30 digital mosaics of a 3 degree by 2 degree area with a 50-meter pixel resolution.

In March 1983, President Ronald Reagan signed a proclamation establishing an Exclusive Economic Zone (EEZ) of the United States extending its territory 200 nautical miles from the coasts of the United States, Puerto Rico, the Northern Mariana Islands, and the U.S. territories and possessions. In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology began a program to map these areas of the EEZ. The U.S. Pacific Coast was the first EEZ region to be mapped and launched GLORIA (Geological LOng-Range Inclined Asdic) mapping program. The area covered by this survey extended from the Mexican to the Canadian borders and from the continental shelf edge, at about the 400-meter bathymetric contour, to 200 nautical miles from the coast. Survey of the U.S. Pacific West Coast EEZ was completed in four consecutive cruises conducted from late April through mid-August 1984. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of 36 digital mosaics of an approximate 2 degree by 2 degree (or smaller) area with a 50-meter pixel resolution were completed for the region.

The Spaceports dataset was compiled on August 08, 2023 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This layer is meant to be a reference layer and features public and private spaceport facilities in the United States. The information found on FAA’s Office of Spaceports was used in creating this layer by the Bureau of Transportation Statistics (BTS), found here https://www.faa.gov/space/office_spaceports. These facilities support the launching and receiving of spacecraft into and from space. As a result, U.S. spaceports have a critical role in the growing global commercial space transportation industry. The FAA Office of Spaceports is responsible for development of policies that promote infrastructure improvements and strengthen the competitiveness of U.S. spaceports, supporting launch and reentry site licensing activities, providing technical assistance and guidance to existing and proposed new spaceports, and the domestic and global promotion of U.S. spaceports. The mission of the FAA’s Office of Spaceports is to enable the safest, most efficient network of launch and reentry spaceports in the world, along with a vision to advance a robust, innovative national system of spaceports supporting the U.S. as a global leader in the commercial space transportation industry.