AndreaBozzo/ceres-open-data-index huggingface dataset:
2020 Cartographic Boundary File (KML), 2020 Public Use Microdata Areas for Alaska, 1:500,000

The 2020 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.

Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

Tags: 2020, ak, alaska, cartographic boundary, generalized, kml, public use microdata area
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (SHP), Current Secondary School District for Minnesota, 1:500,000

The 2020 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 2019-2020 school year, i.e., in operation as of January 1, 2020.

Tags: 2020, cartographic boundary, generalized, minnesota, mn, school district, secondary school district, shp
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (KML), Current Unified School District for Montana, 1:500,000

The 2020 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.

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 2019-2020 school year, i.e., in operation as of January 1, 2020.

Tags: 2020, cartographic boundary, generalized, kml, montana, mt, school district, unified school district
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (SHP), 2020 Public Use Microdata Areas for Montana, 1:500,000

The 2020 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.

Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

Tags: 2020, cartographic boundary, generalized, montana, mt, public use microdata area, shp
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (SHP), Current Unified School District for Idaho, 1:500,000

The 2020 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 2019-2020 school year, i.e., in operation as of January 1, 2020.

Tags: 2020, cartographic boundary, generalized, id, idaho, school district, shp, unified school district
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (SHP), Current State Legislative District-Lower Chamber for Wyoming, 1:500,000

The 2020 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.

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, Maine, Maryland, Massachusetts, Michigan, Ohio, 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 generalized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2018 election year and provided by state-level participants through the RDP.

Tags: 2020, cartographic boundary, generalized, lower chamber, lower district, shp, state legislative district, wy, wyoming
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (SHP), Current State Legislative District-Upper Chamber for Virginia, 1:500,000

The 2020 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.

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, Maine, Maryland, Massachusetts, Michigan, Ohio, 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 generalized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2018 election year and provided by state-level participants through the RDP.

Tags: 2020, cartographic boundary, generalized, shp, state legislative district, upper chamber, va, virginia
Organization: U.S. Census Bureau, Department of Commerce
2020 Cartographic Boundary File (KML), 2020 Census Voting District (VTD) for North Dakota, 1:500,000

The 2020 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.

Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2020 Census Redistricting Data Program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county.

Tags: 2020, cartographic boundary, generalized, kml, nd, north dakota
Organization: U.S. Census Bureau, Department of Commerce
NOAA/WDS Paleoclimatology - Schweingruber - Aktasch Valley (Altai) - LASI - ITRDB RUSS135

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Russia, Eastern Europe. The time period coverage is from 349 to -44 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: aktasch valley (altai), biological records, climate indicators, continent, density, doc/noaa/nesdis/ncei, earth science, eastern europe, europe, land records, larix sibirica ledeb. = larix russica (endl.) sabine ex trautv., lasi, latitude 50.42, longitude 87.58, material: null, national centers for environmental information, nesdis, noaa, paleoclimate, paleoclimate indicators, russia, siberian larch, tree ring, tree rings, tree-ring, u.s. department of commerce, what: age, what: earlywood density, what: earlywood width, what: latewood density, what: latewood width, what: maximum density, what: minimum density, what: number of samples, what: tracheid diameter, what: tree ring standardized growth index, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA/WDS Paleoclimatology - Hartl - Rossbach vor der HÃ¶he 2 - FASY - ITRDB DEU339

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Germany, Western Europe. The time period coverage is from 47 to -71 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Tags: biological records, climate indicators, common beech, continent, doc/noaa/nesdis/ncei, earth science, europe, european beech, fagus sylvatica l., fasy, germany, land records, latitude 50.309, longitude 8.655, material: null, national centers for environmental information, nesdis, noaa, paleoclimate, paleoclimate indicators, rossbach vor der hã¶he 2, tree ring, tree rings, tree-ring, u.s. department of commerce, western europe, what: age, what: total ring width, width
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Single-beam bathymetric data near Saint Michael, Alaska, collected July 8-9, 2022

Single-beam bathymetric data near Saint Michael, Alaska, collected July 8-9, 2022, Raw Data File 2023-8, provides bathymetric data from the coastline near Saint Michael, Alaska, on July 8 and 9, 2022. The purpose of this survey is to provide bathymetric data for the assessment of coastal hazards and riverine erosion studies. These data were collected using an M2Ocean Hydroball integrated bathymetric sensor and processed using CIDCO DepthStar software. Coincident Global Navigation Satellite System (GNSS) base station and water level time series data were collected using Trimble survey equipment and Solinst Levelogger pressure and temperature sensors, respectively, to correct horizontal and vertical positions. This data product does not meet the International Hydrographic Organization (IHO) bathymetric coverage standard (IHO, 2022), is not intended to determine navigability, and is released as a Raw Data File with an open end-user license. The data are available from the DGGS website: http://doi.org/10.14509/31006.

Tags: bathymetry, coastal, coastal and river, coastal erosion, dggs, emergency preparedness, engineering, engineering geology, environment, environmental, erosion, geologic, geologic hazards, geological process, geology, geomorphology, geotechnical, hazards, hydrology, instrumentation, marine geology, norton sound, saint michael, shoreface, slope instability, surface, surface water, surficial, water
Organization: State of Alaska
Libraries - 2012 Visitors by Location

The Chicago Public Library has more than 70 locations.   In January all branch locations were closed on Monday, January 9, Monday, January 23 and Monday, January 30. Beginning in February, all branch locations restored partial Monday hours, from 2 p.m. to 6 p.m. On June 18, all branch locations restored full Monday hours. Edgewater closed 6/16/11 for construction of a new branch scheduled to open in mid-2013. The library’s bookmobile opened 6/24/11 for Edgewater holds pickup and returns. Douglass closed for 10 days in February for roof repairs. Humboldt Park closed 3/26/12 for facility improvements and expansion. Lincoln Park closed for four days in August for replacement of the air conditioning system. Many locations experienced sporadic closures in summer 2012 due to air conditioning issues and area power outages. Albany Park closed 9/22/12 for construction of a new branch and will remain closed until 2014. Brighton Park, Jefferson Park and Portage Cragin were closed 11/26/12-12/7/12 for replacement of their HVAC systems.
	
* Count does not reflect the total building visitor count due to location of traffic counter. Community room and program traffic are not included in totals.

Tags: libraries, visitors
Organization: City of Chicago
Elevation Benchmarks

The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

Tags: benchmarks, gis
Organization: City of Chicago
National Register of Historic Places

This dataset includes buildings and districts in Chicago which are listed on the National Register of Historic Places (NRHP) or designated as National Historic Landmarks (NHL).

 The NRHP is the official list of the Nation's historic places worthy of preservation; NHLs are nationally significant historic places designated by the Secretary of the Interior because they possess exceptional value or quality in illustrating or interpreting the heritage of the United States.
  
The NRHP and NHL programs are federally-established and are administered by the National Park Service (www.nps/gov/nr) and the Illinois Historic Preservation Agency (IHPA, www.illinoishistory.gov/).  This dataset is provided by the City of Chicago based on NRHP and NHL nominations provided by IHPA.

 To view or use these shapefiles, compression software and special GIS software, such as ESRI ArcGIS or QGIS, is required. To download this file, right-click the "Download" link above and choose "Save link as." Time Period: Data is current as of June 2012. Update Frequency: Data is updated as needed.

Tags: gis, landmarks, shapefiles
Organization: City of Chicago
Libraries - 2022 Visitors by Location

The Chicago Public Library consists of the Harold Washington Library Center, Sulzer, Legler and Woodson regional libraries and over 70 neighborhood branches. Chicago Public Library consists of the Harold Washington Library Center, Sulzer and Woodson regional libraries and over 70 neighborhood branches. Many locations experience sporadic closures to perform facilities upgrade or emergency closures due to heating or air conditioning issues, or area power outages. 

* Count does not reflect the total building visitor count due to location of traffic counter. Community room and program traffic are not included in totals.

Tags: 2022, libraries, visitors
Organization: City of Chicago
Boundaries - Enterprise Zones (Deprecated October 2021)

OUTDATED. See the current data at https://data.cityofchicago.org/d/64xf-pyvh -- The Illinois Enterprise Zone Program is designed to stimulate economic growth and neighborhood revitalization in economically depressed areas of the state. For more information about this program, go to http://www.commerce.state.il.us/dceo/Bureaus/Business_Development/Tax+Assistance/Enterprise-Zone.htm.

​​​​​This dataset is in a forma​​t for spatial datasets that is inherently tabular but allows for a map as a derived view. Please click the indicated link below for such a map.

To export the data in either tabular or geographic format, please use the Export button on this dataset.

Tags: boundaries, geo_layer, gis, shapefiles
Organization: City of Chicago