AndreaBozzo/ceres-open-data-index huggingface dataset:
TIGER/Line Shapefile, 2018, 2010 nation, U.S., 2010 Census  Urban Area National

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.


After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses.  In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint."  There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000).  Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.


Tags: nation, polygon, u.s., ua, uc, united states, urban area, urban cluster, urbanized areas
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2018,  nation, U.S., Military Installation National 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 Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations.  In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. 


The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.


Tags: nation, polygon, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Fluorine measurements for target PFAS and PFAS mixtures

Fluorine measurements for target PFAS and PFAS mixtures, fluorine mass balance calculations, non-targeted compound abundances. This dataset is not publicly accessible because: All data not included in the manuscript supplemental information is property of Harvard University. It can be accessed through the following means: Contact: Elsie Sunderland (ems@seas.harvard.edu). Format: Manuscript supplemental information contains tables of outputs of various assays in terms of concentrations. 

This dataset is associated with the following publication:
Ruyle, B.J., C.P. Thackray, J. McCord, M. Strynar, K.A. Mauge-Lewis, S.E. Fenton, and E.M. Sunderland. Reconstructing the Composition of Per- and Polyfluoroalkyl Substances in Contemporary Aqueous Film-Forming Foams.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 8(1): 59-65, (2021).

Tags: aqueous-film-forming-foam, extractable-organic-fluorine, non-targeted-analysis, pfas, total-oxidizeable-precursors
Organization: U.S. Environmental Protection Agency
TIGER/Line Shapefile, 2019,  nation, U.S., Coastline National 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 Coastline Shapefile includes all features within the MTDB Class "Coastline" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB is L4150. The coastline included in this shapefile was delineated by the Census Bureau in the MAF/TIGER database based on water measurement class for display of statistical information only; its depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and it is not a legal land description. This shapefile should be used for data presentation purposes only.  It is not the official source for the coastline feature. The name assigned to each Coastline feature is a short form of the name of the large body of water bordered by this Coastline feature.


Tags: coastline, feature, hydrography, linear, nation, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2019,  nation, U.S., Topological Faces-Military Installation Relationship File

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 Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship.  Face refers to the areal (polygon) topological primitives that make up MTDB.  A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face.  The face to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute.  The military installation to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Military Installation Shapefile (MIL.shp) on the military installation identifier (AREAID) attribute.  A face may be part of multiple military installations.  A military installation may consist of multiple faces.  


Tags: area landmark identifier, landmark, nation, topological faces, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2019,  nation, U.S., Military Installation National 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 Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations.  In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. 


The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.


Tags: nation, polygon, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2019,  nation, U.S., Primary Roads National 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.


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.  


Tags: address range, feature, governmental units and administrative and statistical boundaries theme, linear, nation, national geospatial data asset, ngda, road feature, roads, street centerline, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2019,  nation, U.S., Rails National 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 Rails Shapefile includes all features within the MTDB Super Class "Rail Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begin with "R".  This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.

Tags: feature, linear, nation, rail feature, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary File KML, Current Combined New England City and Town Area for United States, 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.

Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs.

The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.

Tags: 2019, boundaries, cartographic boundary, cnecta, combined new england city and town area, generalized, shp, united states, us
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary File KML, Current Combined New England City and Town Area for United States, 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.

Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs.

The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.

Tags: 2019, boundaries, cartographic boundary, cnecta, combined new england city and town area, generalized, kml, united states, us
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary Shapefile, Current New England City and Town Area for United States, 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.

In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions.

The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.

Tags: 2019, boundaries, cartographic boundary, generalized, necta, new england city and town area, shp, united states, us
Organization: U.S. Census Bureau, Department of Commerce
2019 Cartographic Boundary KML, Current New England City and Town Area for United States, 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.

In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions.

The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.

Tags: 2019, boundaries, cartographic boundary, generalized, kml, necta, new england city and town area, united states, us
Organization: U.S. Census Bureau, Department of Commerce
Waterborne Disease Outbreak Data Set

CDC data on waterborne disease outbreak response. This dataset is not publicly accessible because: Data is property of CDC. It can be accessed through the following means: Contact corresponding author (Mia Mattioli, CDC). Format: CDC waterborne disease outbreak response data. 

This dataset is associated with the following publication:
Mattioli, M.C., K.M. Benedict, J. Murphy, A. Kahler, K.E. Kline, A. Longenberger, P.K. Mitchell, S. Watkins, P. Berger, O. Shanks, C.E. Barrett, L. Barclay, A.J. Hall, V. Hill, and A. Weltman. Identifying septic pollution exposure routes during a waterborne norovirus outbreak - A new application for human-associated microbial source tracking qPCR.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 180: 106091, (2021).

Tags: ground-water, hf183, microbial-source-tracking, norovirus, outbreak, septic
Organization: U.S. Environmental Protection Agency
K_Saili_Molecular characterization of a toxicological tipping point during human stem cell differentiation

We differentiated human induced pluripotent stem cells (hiPSCs) to embryonic endoderm and sought to identify a tipping point at which the developing system did not recover from perturbations caused by exposure to a known teratogen, all-trans retinoic acid (ATRA). Differentiating iPSC-derived endoderm was exposed to five concentrations of ATRA between 0.001 and 10 µM at 6h, 96h, or 192h and assessed for forkhead box A2 (FOXA2) protein expression and global gene transcript expression measured by RNA-sequencing. A tipping point of 17±11 nM was identified where patterns of differentially expressed genes supported a shift in the developmental trajectory away from embryonic endoderm in favor of mesoderm and extraembryonic endoderm.
Five concentrations of all-trans retinoic acid (ATRA) between 0.001 and 10 µM were compared to time-matched 0.1% DMSO controls at three timepoints (6h, 96h, and 192h) in differentiating endoderm. Two biological replicates were used. Undifferentiated controls (not in DMSO) were also included in duplicate as internal controls for 6h, 96h, and 144h. 

This dataset is associated with the following publication:
Saili, K., T. Antonijevic, T. Zurlinden, I. Shah, C. Deisenroth, and T. Knudsen. Molecular characterization of a toxicological tipping point during human stem cell differentiation.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 91(January 2020): 1-13, (2020).

Tags: all-trans-retinoic-acid, differentiation, endoderm, eomes, hipsc, sox17, tipping-points, vembryo, virtual-embryo, virtual-tissues
Organization: U.S. Environmental Protection Agency
Series Information File for the  2017 TIGER/Line Shapefile,  All Lines County-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.


Edge refers to the linear topological primitives that make up MTDB.  The All Lines Shapefile contains linear features such as roads, railroads, and hydrography.  Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately.  The All Lines Shapefile contains the geometry and attributes of each topological primitive edge.  Each edge has a unique TIGER/Line identifier (TLID) value.  


Tags: address range, county or equivalent entity, feature, hydrography, linear, railways, road feature, roads, street centerline, u.s., united states
Organization: U.S. Census Bureau, Department of Commerce
Lake cyanoHAB occurrence

ESA Envisat MERIS 300mx300m raster ocean color data using cyanobacteria index (CI) algorithm. 

This dataset is associated with the following publication:
Coffer, M., B. Schaeffer, J. Darling, E. Urquhart, and W. Salls. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 111: 105976, (2020).

Tags: cyanobacteria, harmful-algal-blooms, inland-waters, remote-sensing, water-quality
Organization: U.S. Environmental Protection Agency
Variability and Sampling of Lead (Pb) in Drinking Water: Assessing Exposure Risk Depends on the Sampling Protocol

This is a literature review paper that did not generate any new data. This dataset is not publicly accessible because: This work did not produce new data. It can be accessed through the following means: Data mentioned in this literature review can be accessed by accessing the original sources of information, as cited within the review. Format: This paper is a literature review (i.e., no new data generated). Sources of information are appropriately cited. 

This dataset is associated with the following publication:
Triantafyllidou, S., J. Burkhardt, J. Tully, K. Cahalan, M. DeSantis, D. Lytle, and M. Schock. Variability and sampling of lead (Pb) in drinking water: Assessing potential human exposure depends on the sampling protocol.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 146: 106259, (2021).

Tags: drinking-water, exposure, lead, sampling-protocol, variability
Organization: U.S. Environmental Protection Agency
Urbanization imprints on soil texture and carbon

We provide a unique dataset characterizing urban soil profiles and their complementary pre-urban reference soil profiles for carbon content, and a proxy for soil texture, by depth to 1.5m. The research effort interprets this data in the context of urbanization impacts on the soil ecosystem with hydrologic and geotechnical implications. 

This dataset is associated with the following publication:
Herrmann, D., L. Schifman, and W. Shuster. Urbanization drives convergence in soil profile texture and carbon content.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 15(11): 114001, (2020).

Tags: green-infrastructure, soil-carbon, soil-texture, urban-ecosystem-convergence-theory, urban-ecosystem-services
Organization: U.S. Environmental Protection Agency