AndreaBozzo/ceres-open-data-index huggingface dataset:
TIGER/Line Shapefile, 2012, Series Information File for the Current Place State-based Shapefile

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the
               U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents
               a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data
               set, or they can be combined to cover the entire nation. The TIGER/Line 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 for the 2010 Census is that they must contain some housing and population. The
               boundaries of all 2010 Census incorporated places are as of January 1, 2010 as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
               The boundaries of all 2010 Census CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP).

Tags: cdp, census designated place, city, polygon, state or equivalent entity, town, u.s., village
Organization: U.S. Census Bureau, Department of Commerce
Photocatalytic C−H Activation of Hydrocarbons over VO@g‑C3N4

A highly selective and sustainable method has been developed for the oxidation of methyl arenes and their analogues. The VO@g-C3N4 catalyst is very efficient in the C−H activation and oxygen insertion reaction resulting in formation of the corresponding carbonyl compounds and phenols. 

This dataset is associated with the following publication:
Verma, S., R.B. Nasir Baig, M. Nadagouda , and R. Varma. Photocatalytic C¿H Activation of Hydrocarbons over VO@g¿C3N4.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(4): 2333-2336, (2016).

Tags: ch-activation, earth-abundant-materials, graphitic-carbon-nitride, heterogeneous-catalysis, photocatalyst, sustainable-materials-management, vanadium-oxide
Organization: U.S. Environmental Protection Agency
TIGER/Line Shapefile, 2012, Series Information File for the Primary and Secondary Roads State-based Shapefiles

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the
               U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents
               a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data
               set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway
               system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll
               highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway,
               State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have
               at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification
               Code (MTFCC) is S1200 for secondary roads.

Tags: address range, linear feature, road feature, roads, state or equivalent entity, street centerline, u.s.
Organization: U.S. Census Bureau, Department of Commerce
Seasonal Movements of Gulf of Mexico Sperm Whales Following the Deepwater Horizon Oil Spill and the Limitations of Impact Assessments, Data Products (Jun 2010 to Feb 2012)

Passive Acoustic Monitoring of Marine Mammals in the Northern Gulf of Mexico: June 2010 to March 2012. These data are part of a large passive acoustic survey across the eastern Gulf continental shelf edge to assess impacts to the marine mammals as part of the Deepwater Horizon Oil Spill Natural Resource Damage Assessment in the Gulf of Mexico. MARUs (Marine Autonomous Recording Units from Cornell University) were deployed at 16 sites, 39-241 km apart and at depths of 231-1370 m, along the continental shelf from June 2010 through February 2012. Sperm whale click trains, a sequence of 5 or more usual clicks in a sequence with 0.3-1.7 s between clicks were detected with a validated automated detector applied to 1-4 kHz of the acoustic recordings to determine hourly sperm whale presence at each site. Sperm whale presence over time across the sites were statistically modeled to identify seasonal patterns of occurrence and compare the time periods immediately following the oil spill to a year later.

Tags: acoustic sounders, ambient noise, animals/invertebrates, animals/vertebrates, aquatic ecosystems, aquatic sciences, atlantic ocean, biological classification, biosphere, cetaceans, doc/noaa/nesdis/ncei, earth science, earth science oceans, fish, fisheries, fixed observation stations, gulf of mexico, hydrophones, mammals, marine environment monitoring, marine habitat, national centers for environmental information, nesdis, noaa, north atlantic ocean, ocean, ocean acoustics, oceans, passive acoustic recorder, recorders/loggers, u.s. department of commerce, vertical location, water column
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TIGER/Line Shapefile, 2012, Series Information File for the Linear Hydrography County-based Shapefiles

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the
               U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents
               a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set,
               or they can be combined to cover the entire nation. Linear Water Features includes single-line drainage water features and artificial path features that
               run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path
               features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature
               and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the
               super class of Hydrographic Features.

Tags: county or equivalent entity, feature, hydrography, linear, u.s.
Organization: U.S. Census Bureau, Department of Commerce
New Chemicals Eco Effects Database (ECO_EFCTS); New Name: PMN Ecotoxicity Database

The PMN Ecotox Database contains fielded information on ecological studies submitted under TSCA Section 5 in premanufacture and other exemption notices.

Tags: chemical-ecotoxicity-effects, chemical-screening, chemical-testing, ecotoxicity-testing, tsca-section-5
Organization: U.S. Environmental Protection Agency
Survey of Segment of 1872 Owens Valley Rupture near Klondike Lake, CA 2020

This is a short ~1 km long x 175 m wide strip along the 1872 Owens Valley earthquake surface rupture just north of Big Pine, CA. This model was produced without any ground control points, and all heights are GPS / ellipsoidal, so for absolute elevations the model should  be shifted using a GCP & a geoid correction. 

Organization: OpenTopography
Community Water System and Contributing Area Characteristics

Operational, financial, and land use data to estimate drinking water treatment cost functions for 2006 calendar year.  Data are organized for surface water and groundwater systems. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: US EPA's Office of Water, Office of Science and Technology, Engineering and Analysis Division is the holder of the survey data.  US EPA's Office of Water maintains a database of point coordinates for surface water intakes and wells used for public water supply. Format: Our dataset is described in detail in Section 3 of the paper.  We include a link to the 2006 Community Water System Survey that excludes the identifiers.  Other data are confidential business information. 

This dataset is associated with the following publication:
Price, J., and M. Heberling. The Effects of Agricultural and Urban Land Use on Drinking Water Treatment Costs: An Analysis of United States Community Water Systems.   Water Economics and Policy. World Scientific Publishing Co. Pte. Ltd., 5 Toh Tuck Link,  SINGAPORE, 6(4): 2050008, (2020).

Tags: community-water-systems, drinking-water, economic-analysis, land-use-land-cover-change, source-water-protection, treatment-costs
Organization: U.S. Environmental Protection Agency
Mangrove Wetland Carbon Cycling Data

Raw data for greenhouse gas measures and physical parameters from the mangrove soils and associated estuarine water. 

This dataset is associated with the following publication:
Martin, R., C. Wigand, A. Oczkowski, A. Hanson, S. Balogh, B. Branoff, E. Santos, and E. Huertas. Greenhouse Gas Fluxes of Mangrove Soils and Adjacent Coastal Waters in an Urban, Subtropical Estuary.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 40: 1469–1480, (2020).

Tags: carbon-sequestration, greenhouse-gas-emissions, mangrove
Organization: U.S. Environmental Protection Agency
Series Information for the 2019 Cartographic Boundary File KML Current Unified School District, 1:500,000

The 2019 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 2018-2019 school year, i.e., in operation as of January 1, 2019. This is aviable at the 1:500,000 scale.

Tags: 2019, boundaries, cartographic boundary, generalized, kml, school district, shp, u.s, unified school district, united sates
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary File Shapefile Current Unified School District, 1:500,000

The 2019 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 2018-2019 school year, i.e., in operation as of January 1, 2019. This is aviable at the 1:500,000 scale.

Tags: 2019, boundaries, cartographic boundary, generalized, school district, shapefile, shp, u.s, unified school district, united sates
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary File KML, Current State and Equivalent for United States,

The 2019 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.
                
                States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of states for the purpose of data presentation.Current State and Equivalent for United States KMLs are availiable at the 1:5,000,000, 1:2,0000,000
                and 1:500,000 scales.

Tags: 2019, boundaries, cartographic boundary, generalized, kml, shp, u.s, united sates, united states, us
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary File Shapefile, Current State and Equivalent for United States,

The 2019 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.
            
            States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of states for the purpose of data presentation.Current State and Equivalent for United States shapefiles are availiable at the 1:5,000,000, 1:2,0000,000
            and 1:500,000 scales.

Tags: 2019, boundaries, cartographic boundary, generalized, shapefile, shp, u.s, united sates, united states, us
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary File KML, Current State Legislative District-Upper Chamber,1:500,000

The 2019 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.
                
                SLDU stands for State Legislative District Upper Chamber. 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 boundaries of the 2018 state legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2018 election. The Current State Legislative District-Upper Chamber are avialiable at the 1:500,000 scale.

Tags: 2019, boundaries, cartographic boundary, generalized, kml, lower chamber, lower district, state legislative district, u.s, united sates
Organization: U.S. Census Bureau, Department of Commerce
Series Information for the 2019 Cartographic Boundary File Shapefile, Current State Legislative District-Upper Chamber,1:500,000

The 2019 cartographic boundary shapefile 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.
                
                SLDU stands for State Legislative District Upper Chamber. 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 boundaries of the 2018 state legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2018 election. The Current State Legislative District-Upper Chamber are avialiable at the 1:500,000 scale.

Tags: 2019, boundaries, cartographic boundary, generalized, lower chamber, lower district, shapefile, state legislative district, u.s, united sates
Organization: U.S. Census Bureau, Department of Commerce