AndreaBozzo/ceres-open-data-index huggingface dataset:
Living Clinical Guidelines for Infection-Associated Chronic Conditions and Illnesses (IACCIs)

Join HHS and LymeX collaborators in the <a href="https://invisibleillness.crowdicity.com/hubbub/communitypage/23445">Living Clinical Guidelines for IACCIs</a> ecosystem to cocreate solutions with patients as partners for Long COVID, Lyme disease, ME/CFS, and other complex chronic conditions that are often invisible illnesses.

Tags: accelerator, adaptive, ai, artificial-intelligence, challenge, chronic, chronic-condition, chronic-conditions, citizen-science, clinical-guidelines, co-creation, cocreate, crowdsource, diagnostic, diagnostics, evidence-based, exponential, grand-prize-challenge, iacc, iacci, iaci, infection-associated-chronic-condition, infection-associated-chronic-conditions, infection-associated-chronic-conditions-and-illnesses, infection-associated-chronic-illness, infection-associated-chronic-illnesses, innovation, invisible-illness, invisible-illnesses, living-clinical-guidelines, living-evidence, living-guidelines, lyme, lyme-ai, lyme-disease, lyme-innovation, lymex, lymex-ai, next-gen, next-generation, open-data, open-gov, open-government, open-innovation, open-science, open-source, partnership, partnerships, persistent-symptoms, post-treatment, post-treatment-lyme-disease-syndrome, prize, ptlds, public-private, tick, tick-borne, tickborne, transparency, vector, vector-borne
Organization: U.S. Department of Health & Human Services
Iowa Industrial New Jobs Training Contracts

The Iowa Industrial New Jobs Training (260E) program provides employers expanding Iowa’s workforce with new employee training.  The 260E program is designed to increase worker productivity and company profitability, and is administered by Iowa's 15 community colleges and financed through bonds sold by the colleges.  Depending on wages paid, the participating businesses divert 1.5% or 3% of the Iowa state withholding taxes generated by the new positions to the community college to retire the bonds.  Businesses may also be eligible to receive reimbursement for their on-the-job training expenses, and/or corporate tax credits.
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This dataset lists 260E contracts open in or after 2012, Qtr 2, and includes information on: the administering community college, participating employer, location of employment, training expenses, and employment information.
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More on <a href="https://www.iowaeconomicdevelopment.com/Business/260E">Iowa's 260E program</a>.

Tags: 260e, businesses, community-colleges, industrial, jobs, training, workforce
Organization: State of Iowa
Iowa Unemployment Insurance Benefit Payments by Industry (Monthly)

UPDATES OF THIS DATASET ARE TEMPORARILY SUSPENDED.  Iowa Unemployment Insurance Claimants by Industry Sector is available in another data.iowa.gov dataset.  This dataset contains statewide unemployment insurance payment activities by month and industry group in Iowa.  Industry groups are based on NAICS sectors (North American Industry Classification System).  Data available starting in January 2010.

Tags: benefit-payments, benefits, industry, iwd_uistats, iwd_uistats_m, ui, unemployment-insurance
Organization: State of Iowa
Site cluster information for journal article "Classifying Metal Soil Concentrations with Bayesian Networks: Urban Background in the Southeastern United States"

This dataset contains the site clusters identified from a Bayesian network analysis with data clustering. Original data used for identifying clusters came from the Region 4 urban background study located at https://www.epa.gov/risk/regional-urban-background-study. 

This dataset is associated with the following publication:
Carriger, J.F., R.G. Ford, T. Frederick, S. Chan, and Y. Fung. Classifying Metal Soil Concentrations with Bayesian Networks: Urban Background in the Southeastern United States.   ENVIRONMENTAL MODELING AND ASSESSMENT. Baltzer Science Publishers BV, Bussum,  NETHERLANDS, 30: 981-998, (2025).

Tags: bayesian-networks, clustering, metals, soils, urban-background
Organization: U.S. Environmental Protection Agency
Link Tonnages

The Link Tonnages dataset was sourced on December 31, 2023 and was updated on August 22, 2025 by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The tonnage summarized for each link by commodity and direction (upbound and down bound). The commodities include Coal, Petroleum Products, Chemicals, Crude Materials, Manufactured Goods, Farm Products, Machinery, Waste, and Unknown. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/xm0g-sr86

Tags: atlas, coe, database, dock, domestic, foreign, line, linear marine, maritime, national, national transportation atlas database, navigation, ntad, tonnage, transportation, usa, usace, vector
Organization: Department of Transportation
Census TIGER/Line - Roads

The TIGER/Line Roads County-based dataset was released July 31, 2025, by the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). 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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529082

Tags: atlas, database, feature, line, linear administrative, national, national geospatial data asset, national transportation atlas database, ngda, ngdaid155, ntad, road, roads, transportation, transportation theme, usa, vector
Organization: Department of Transportation
Waterway Locks

The Waterway Locks dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Navigation Data Center (NDC) produces and stores data on lock characteristics nationwide in the Lock Performance Monitoring System (LPMS) and the Lock Characteristics database. These data sets are developed using input from surveys conducted by NDC staff. Information collected includes the physical aspects of all USACE built, maintained, owned, or operated locks. The data set captures six major characteristics including location, physical characteristics, site information, site characteristics, management information, and historical changes. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/180Q-FC93

Tags: atlas, canal, coe, database, dredge, inland, inland waters, lake, locks, marine, maritime, national, national geospatial data asset, national transportation atlas database, navigation, ngda, ngdaid151, ntad, point, river, structure, transportation, transportation infrastructure, transportation theme, usa, usace, vector, water, waterway
Organization: Department of Transportation
Amtrak Stations

The Amtrak Stations dataset is as of December 15, 2025 from Amtrak and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains Amtrak intercity railroad and bus passenger terminals in the United States. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529010

Tags: amtrak, atlas, database, national, national transportation atlas database, ntad, point, rail, railroad, station, structures, transportation, usa, vector
Organization: Department of Transportation
Principal Ports

The Principal Ports dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The principal port file contains USACE port codes, geographic location, names, and commodity tonnage summaries (total tons, domestic, foreign, imports and exports) for principal USACE ports for CY 2023. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529073

Tags: atlas, coe, database, foreign, major, major ports, marine, maritime, national, national transportation atlas database, navigation, ndc, ntad, point, port, principal, tonnage, transportation, usa, usace, vector
Organization: Department of Transportation
BETA - Highway Performance Monitoring System 2023

The BETA release of the  BETA - Highway Performance Monitoring System (HPMS) 2023 dataset was created using the most current data as of August 17, 2024 by the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data represents a snapshot of extent, usage, condition, and performance as of December 31, 2023. This file geodatabase download provides HPMS data for each state as an individual feature class. It consists of the All Road Network of Linear Referenced Data (ARNOLD) geometry and the Section Data which is the attribution. ARNOLD and Sections are linked though linear referencing and are part of the HPMS data program. These data are analytical for the purpose of supporting transportation programs, funding and policy decisions at a national level. Operational applications such as navigation and routing may take advantage of HPMS with the understanding that it represents the average and not âreal-timeâ of the system. The Highway Performance Monitoring System Field Manual contains a detailed description of each data element including coding instructions and attribute definitions. The Field Manual is available at: https://doi.org/10.21949/1519108.

Tags: atlas, beta, condition, database, highway, hpms, inventory, line, linear roads, monitoring, national, national transportation atlas database, ntad, performance, system, transportation, usa, vector
Organization: Department of Transportation
Port Areas

The Port Areas dataset was updated on July 21, 2025 from the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). USACE works with port authorities from across the United States to develop the port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported.  

A Port Area is defined by the limits set by overarching legislative enactments of state, county, or city governments, or the corporate limits of a municipality. A port typically refers to a geographical area that includes operational activities related to maritime transport as well as acquisition, operation, and management of port infrastructure and property, such as might be associated with ownership, concession, construction approval, or policy decision-making authority. 

Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes  per EP 1130-2-520 are organized in SDSFIE 4.0.2 format. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/2ngc-4984

Tags: area, areas, atlas, coe, database, national, national transportation atlas database, navigation, ntad, polygon, port, ports, transportation, usa, vector
Organization: Department of Transportation
Port Statistical Areas

The Port Statistical Areas dataset was updated on July 21, 2025 from the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). USACE works with port authorities from across the United States to develop the statistical port boundaries through an iterative and collaborative process. Port boundary information is prepared by USACE to increase transparency on public waterborne commerce statistic reporting, as well as to modernize how the data type is stored, analyzed, and reported.  

A Port Statistical Area (PSA) is a region with formally justified shared economic interests and collective reliance on infrastructure related to waterborne movements of commodities that is formally recognized by legislative enactments of state, county, or city governments. PSAs generally contain groups of county legislation for the sole purpose of statistical reporting. Through GIS mapping, legislative boundaries, and stakeholder collaboration, PSAs often serve as the primary unit for aggregating and reporting commerce statistics for broader geographical areas. 

Per Engineering Regulation 1130-2-520, the U.S. Army Corps of Engineers' Navigation Data Center is responsible to collect, compile, publish, and disseminate waterborne commerce statistics. This task has subsequently been charged to the Waterborne Commerce Statistics Center to perform. Performance of this work is in accordance with the Rivers and Harbors Appropriation Act of 1922. Included in this work is the definition of a port area. A port area is defined in Engineering Pamphlet 1130-2-520 as: (1) Port limits defined by legislative enactments of state, county, or city governments. (2) The corporate limits of a municipality. The USACE enterprise-wide port and port statistical area feature classes  per EP 1130-2-520 are organized in SDSFIE 4.0.2 format. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/2ngc-4984

Tags: area, areas, atlas, coe, database, national, national transportation atlas database, navigation, ntad, polygon, port, ports, statistical, transportation, usa, vector
Organization: Department of Transportation
Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 12-08-2025-to-12-14-2025

The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.

Tags: drug-rebate-program
Organization: U.S. Department of Health & Human Services
TIGER/Line Shapefile, 2024, County, Johnston County, OK, Topological Faces-Area Hydrography 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) System (MTS). The MTS 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/Area Hydrography Relationship File contains a record for each face/area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up the MTS. 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/Area Hydrography Relationship File (facesah.dbf) applies can be determined by linking to the Topological Faces shapefile (faces.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces/Area Hydrography Relationship File applies can be determined by linking to the Area Hydrography shapefile (areawater.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces.

Tags: 40069, area hydrography identifier, county fips code, county gnis code, county or equivalent entity, hydrography, johnston, land/water flag, permanent face id, state fips code, state gnis code, table, topological faces
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2024, County, Lake County, CA, All Roads

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) System (MTS). The MTS 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 All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Tags: 06033, address range, county or equivalent entity, lake, linear feature, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2024, County, Dallas County, AR, All Roads

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) System (MTS). The MTS 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 All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Tags: 05039, address range, county or equivalent entity, dallas, linear feature, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2024, County, Osborne County, KS, Area Hydrography

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) System (MTS). The MTS 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 in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.

Tags: 20141, county or equivalent entity, hydrography, osborne, polygon
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2024, County, Jones County, SD, Address Range-Feature

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) System (MTS). The MTS 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 Address Range Features shapefile contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. This shapefile contains a record for each address range to street name combination. Address ranges associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that this shapefile includes all unsuppressed address ranges compared to the All Lines shapefile (edges.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefiles contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line shapefiles are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Tags: 46075, 5-digit zip code, county fips code, county gnis code, county or equivalent entity, from house number, jones, permanent edge id, side indicator flag, state fips code, state gnis code, table, to house number, zip +4 code
Organization: U.S. Census Bureau, Department of Commerce