AndreaBozzo/ceres-open-data-index huggingface dataset:
W00646: NOS Hydrographic Survey , External Source Data 2022, 2018-11-14

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, dry tortugas, earth remote sensing instruments, earth science, florida, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, marquesas, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, riley''s hump, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, tortugas south, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Historic District Commission 2014-15 Certified Local Government Annual Report

The Rhode Island Historical Preservation & Heritage Commission administers a Certified Local Government (CLG) Grant Program for municipal historical preservation activities.

Providence is one of eighteen Rhode Island communities that are Certified Local Governments. To qualify for CLG status, a community must have a historic district zoning ordinance and a historic district commission. CLG communities may participate in the nomination of properties to the National Register of Historic Places, and are eligible to apply for federal 50% matching grants for survey and planning projects. Eligible projects for grant funding would include identification and evaluation of significant historic and archaeological properties, the nomination of eligible properties to the National Register, historic preservation plans and certain education-related activities.

Tags: culture, districts, historic, housing, neighborhood, real-estate
Organization: City of Providence
SustainPVD Municipal Energy Report FY2015

The Providence Municipal Energy Report discloses the City’s energy
data in an effort to track progress towards the City’s energy goals,
increase transparency, and lead by example. The City’s 2014 Sustainable
Providence plan set a goal to reduce energy consumption 30 percent
by 2030. Measuring and monitoring consumption by benchmarking
buildings is an important first step to achieving this goal. Benchmarking
is a means of comparing a building’s energy use to the average of
similar buildings or to an established baseline.

Tags: energy, fy2015, sustainability
Organization: City of Providence
GIS Mapped Area

<DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>This layer represents the primary GIS mapped area for the City of Bloomington, Indiana. It covers the City of Bloomington plus the Bloomington Utilities service area. Detailed planimetric data such as edge of pavement and early aerial orthophotography is limited to this area.</SPAN></SPAN></P><DIV><P><SPAN /></P></DIV></DIV>

Tags: gis, maps, panel, reference
Organization: City of Bloomington
GIS Map Panel Boundaries

<DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>This map data layer represents the GIS Map Panel Boundaries for the City of Bloomington, Indiana. The GIS Map Panel Boundaries data layer was created as a reference grid for the GIS map data. The grid tiles are 3000' by 2000' and cover a total of 86.3 square miles of central Monroe County in Indiana. The panel tiles are located arbitrary to any geographic features</SPAN></SPAN></P><DIV><P><SPAN /></P></DIV></DIV>

Tags: boundary, gis, maps, panels, reference
Organization: City of Bloomington
2021 High Volume FHV Trip Records

These records are generated from the trip record submissions made by High Volume For-Hire Vehicle (FHV) bases. On August 14, 2018, Mayor de Blasio signed Local Law 149 of 2018, creating a new license category for TLC-licensed FHV businesses that currently dispatch or plan to dispatch more than 10,000 FHV trips in New York City per day under a single brand, trade, or operating name, referred to as High-Volume For-Hire Services (HVFHS). This law went into effect on Feb 1, 2019. Each row represents a single trip in a FHV dispatched by a high volume base.  The trip records include fields capturing the high volume license number, the pickup and drop-off date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
2015 For Hire Vehicle Trip Data

These records are generated from the For-Hire Vehicle (“FHV”) Trip Record submissions made by traditional livery, luxury, and black car bases. The FHV trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset. Each row represents a single trip in an FHV.

Tags: fhv, for-hire-vehicle, taxi, tlc, trip
Organization: City of New York
2021 For Hire Vehicles Trip Data

These records are generated from the For-Hire Vehicle (“FHV”) Trip Record submissions made by traditional livery, luxury, and black car bases. The FHV trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset. Each row represents a single trip in an FHV.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
2018 For Hire Vehicles Trip Data

These records are generated from the For-Hire Vehicle (“FHV”) Trip Record submissions made by traditional livery, luxury, and black car bases. The FHV trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset. Each row represents a single trip in an FHV.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
2017 For Hire Vehicle Trip Data

These records are generated from the For-Hire Vehicle (“FHV”) Trip Record submissions made by traditional livery, luxury, and black car bases. The FHV trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset. Each row represents a single trip in an FHV.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
2022 High Volume FHV Trip Records

These records are generated from the trip record submissions made by High Volume For-Hire Vehicle (FHV) bases. On August 14, 2018, Mayor de Blasio signed Local Law 149 of 2018, creating a new license category for TLC-licensed FHV businesses that currently dispatch or plan to dispatch more than 10,000 FHV trips in New York City per day under a single brand, trade, or operating name, referred to as High-Volume For-Hire Services (HVFHS). This law went into effect on Feb 1, 2019. Each row represents a single trip in a FHV dispatched by a high volume base.  The trip records include fields capturing the high volume license number, the pickup and drop-off date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
2020 For Hire Vehicles Trip Data

These records are generated from the For-Hire Vehicle (“FHV”) Trip Record submissions made by traditional livery, luxury, and black car bases. The FHV trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset. Each row represents a single trip in an FHV.

Tags: base, fhv, high-volume, lyft, taxi, trip, trip-data, uber, via
Organization: City of New York
W00716: NOS Hydrographic Survey , 2023-03-01

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, connecticut, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, new london, new london state pier, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 Cartographic Boundary File (SHP), Region for United States, 1:5,000,000

The 2022 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.

Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

Tags: 2022, cartographic boundary, generalized, region, shp, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (SHP), Current Place for Texas, 1:500,000

The 2022 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.

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, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2022, cartographic boundary, generalized, place, shp, texas, tx
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (KML), Current State Legislative District-Upper Chamber for Nebraska, 1:500,000

The 2022 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 2022 election year and provided by state-level participants through the RDP.

Tags: 2022, cartographic boundary, generalized, kml, ne, nebraska, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (KML), Current County Subdivision for Guam, 1:500,000

The 2022 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, 2022, 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: 2022, cartographic boundary, county, county subdivision, generalized, gu, guam, kml
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (KML), Current State Legislative District-Upper Chamber for Puerto Rico, 1:500,000

The 2022 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 2022 election year and provided by state-level participants through the RDP.

Tags: 2022, cartographic boundary, generalized, kml, pr, puerto rico, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (SHP), Current State Legislative District-Upper Chamber for Michigan, 1:500,000

The 2022 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, 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 2022 election year and provided by state-level participants through the RDP.

Tags: 2022, cartographic boundary, generalized, mi, michigan, shp, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2022 Cartographic Boundary File (KML), Current State Legislative District-Upper Chamber for Texas, 1:500,000

The 2022 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 2022 election year and provided by state-level participants through the RDP.

Tags: 2022, cartographic boundary, generalized, kml, state legislative district, texas, tx, upper chamber
Organization: U.S. Census Bureau, Department of Commerce