AndreaBozzo/ceres-open-data-index huggingface dataset:
2024 Cartographic Boundary File (SHP), Block Group for Virginia, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, block group, cartographic boundary, census tract, county, generalized, shp, va, virginia
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Place for Indiana, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.

The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2024 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, cdp, census designated place, generalized, in, indiana, kml, place
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Place for Texas, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.

The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2024 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, cdp, census designated place, generalized, kml, place, texas, tx
Organization: U.S. Census Bureau, Department of Commerce
Crime Incidents in 2018

<div style='text-align:Left;'><div><div><p><span>The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit </span><a href='https://crimecards.dc.gov/' style='text-decoration:underline;' rel='nofollow ugc'><span>crimecards.dc.gov</span></a><span> for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span>.</span></p><p><span>On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.</span></p></div></div></div>

Tags: assault, burglary, cdw, crime, district-of-columbia, feeds, homicide, mpd, robbery, safety, theft, washington-dc
Organization: District of Columbia
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Upper Chamber for Massachusetts, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, cartographic boundary, generalized, kml, ma, massachusetts, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), County Subdivision for Missouri, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs are based on those as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, county, county subdivision, generalized, kml, missouri, mo
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), County Subdivision for Missouri, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs are based on those as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, county, county subdivision, generalized, missouri, mo, shp
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), Elementary School District for New Jersey, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, elementary school district, generalized, new jersey, nj, school district, shp
Organization: U.S. Census Bureau, Department of Commerce
Help America Vote Verification (HAVV) Transactions by State - Week Ending July 26, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending July 26, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, july, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending July 19, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending July 19, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, july, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending July 12, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending July 12, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, july, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Crime Incidents in 2019

<div style='text-align:Left;'><div><div><p><span>The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit </span><a href='https://crimecards.dc.gov/' style='text-decoration:underline;' rel='nofollow ugc'><span>crimecards.dc.gov</span></a><span> for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span>.</span></p><p><span>On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.</span></p></div></div></div>

Tags: assault, burglary, cdw, crime, district-of-columbia, feeds, homicide, mpd, robbery, safety, theft, washington-dc
Organization: District of Columbia
Help America Vote Verification (HAVV) Transactions by State - Week Ending June 28, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending June 28, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, june, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Experimental Wave Desalination Data with Variable Feed and Pressure Input

This is the raw data collected from various experiments seeking to characterize reverse osmosis membrane performance under dynamic feed conditions (i.e., varying feed pressure and flow rate) such as those that might be experienced in a wave desalination system. This data was collected at the National Renewable Energy Lab by Kurby Sitterley, Zach Binger, and Scott Jenne.

The included data is from four different experimental types:
- Steady-state
- Trapezoidal wave form (ramping data) 
- Sinusoidal wave form
- WEC-Sim simulation wave form

The data is presented in comma separate value (.csv) format. All the data is presented in its raw form. The data has been clipped from the original data files to exclude data collected during start up or shut down and data collected between experiments. Thus, a user should be able to load the data directly without having to exclude any extraneous data.

The README contains additional information on the experimental system, the format of the data (including column headers), and the experimental conditions used for the collected data.

Note: The steady-state and ramping data provided here was used for an article titled "Comparing Constant and Transient Membrane Transport Parameters for use in Wave Desalination Models" published in the journal Membranes. Guidance on further processing of this data could be taken from that publication.

Tags: csv, desalination, excel, experimental-data, lab-data, membrane-characterization, preformance, ramping-data, raw-data, reverse-osmosis, reverse-osmosis-membrane-performance, ro, sinusoidal-wave-form, steady-state-data, trapezoidal-wave-form, wave-desalination, wave-desalination-system, wec-sim-simulation-wave-form
Organization: Department of Energy
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Lower Chamber for Alabama, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, al, alabama, cartographic boundary, generalized, kml, lower chamber, lower district, state legislative district
Organization: U.S. Census Bureau, Department of Commerce