AndreaBozzo/ceres-open-data-index huggingface dataset:
2024 NOAA Lidar: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak)

Original Product: Classified LAZ 1.4 files, formatted to 825 individual 750m x 750m tiles covering the NOAA AK Coastal Communities 2023 project area.

Original Dataset Geographic Extent: This dataset and derived products encompass five areas covering approximately 92,475 acres of Southwest Alaska. 

Original Dataset Description: The NOAA AK Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum.  Data was projected in UTM Zone 4N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 101 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 26 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 with the Riegl VQ-780ii-S and 0.298 with the Riegl 1560iiS using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Maximum Surface Height Rasters (MSHRs), and 3D waters edge breaklines. 

Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Tags: airplane, alaska, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2024 NOAA Lidar: AK Coastal Communities (Kachemak Bay)

Original Product: Classified LAZ 1.4 files, formatted to 2,298 individual 750m x 750m tiles covering the NOAA AK Communities 2023 project area.

Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. 

Original Dataset Description: The NOAA AK Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum. Data was projected in UTM Zone 5N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 with the Riegl VQ-780ii-S and 0.298 with the Riegl 1560iiS using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Maximum Surface Height Rasters (MSHRs), and 3D waters edge breaklines. 

Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover

Tags: airplane, alaska, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2023 NOAA Lidar DEM: AK Coastal Communties (Dillingham/Aleknagik, Ekuk, Ekwok, Koliganek, Manokotak, New Stuyahok)

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Coastal Communities 2023 project area.

Original Geographic Extent: This dataset and derived products encompass six areas in southwest Alaska, covering approximately 183,738 acres.

Original Dataset Description: Lidar flight line swaths were processed to create 1,611 classified LAS 1.4 files delineated in 750m x 750m tiles tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 1,611 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 124 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 37 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, maximum surface height rasters, and 3D breaklines of rivers and lakes within the study area.

Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Tags: airplane, alaska, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2023 NOAA Lidar: AK Coastal Communities (Dillingham/Aleknagik, Ekuk, Ekwok, Koliganek, Manokotak, New Stuyahok)

Original Product: Classified LAZ 1.4 files, formatted to 1611 individual 750m x 750m tiles covering the NOAA AK Communities 2023 project area.

Original Geographic Extent: This dataset and derived products encompass six areas in southwest Alaska, covering approximately 183,738 acres.

Original Dataset Description: The NOAA AK Coastal Communities 2023 Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2023, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 12b vertical datum.  Data was projected in UTM Zone 4N, Meters. Lidar data was delivered as calibrated and classified LAZ 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 124 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 37 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.269 using all valid first return points. Derived products include: Intensity Imagery, Hydro-flattened Bare Earth Digital Elevation Models (DEMs), Highest Hit Digital Surface Models (DSMs), and 3D waters edge breaklines. 
Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Tags: airplane, alaska, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Survey of Substance Abuse Treatment Services (N-SSATS-1997-2011)

<p>The National Survey of Substance Abuse Treatment Services (N-SSATS) is designed to collect information from all facilities in the United States, both public and private, that provide substance abuse treatment.  Data are collected on topics including facility operation, services offered (assessment and pre-treatment, pharmacotherapies, testing, transitional, ancillary), detoxification, primary focus (substance abuse, mental health, both, general health, and other), hotline operation, Opioid Treatment Programs and medications dispensed/prescribed, counseling and therapeutic approaches, languages in which treatment is provided, type of treatment provided, number of clients (total and under age 18), number of beds, types of payment accepted, sliding fee scale, special programs offered, facility accreditation and licensure/certification, and managed care agreements.  N-SSATS was titled the Uniform Facility Data Set (UFDS) in 1997 and 1998. Data from these years along with N-SSATS 2000 and  N-SSATS 2002 to N-SSATS 2011 are included in this concatenated dataset.This study has 1 Data Set.</p>

Tags: alcohol-abuse, drug-abuse, drug-treatment, health-care-services, hiv, intervention, substance-abuse, substance-abuse-treatment, treatment-facilities, treatment-programs
Organization: U.S. Department of Health & Human Services
2024 NOAA Lidar DEM: AK Coastal Communities (Kachemak Bay)

Original Product:  Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area. 

Original Geographic Extent: This dataset and derived products encompass an area covering approximately 286,327 acres of Southwest Alaska. 

Original Dataset Description: Lidar flight line swaths were processed to create 2,299 classified LAZ 1.4 files delineated in 750m x 750m tiles. Each LAZ file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 2,299 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 43 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 19 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAZ files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area.

Ground Condition: Ground conditions contained snow at high elevations and acquisition occurred free of smoke, fog and cloud cover

Tags: airplane, alaska, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2024 NOAA Lidar DEM: AK Coastal Communities (Eek, Goodnews Bay, Nelson Lagoon, Quinhagak, Togiak)

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the NOAA AK Communities 2025 project area.

Original Dataset Geographic Extent: This dataset and derived products encompass five areas covering approximately 92,475 acres of Southwest Alaska. 

Original Dataset Description: Lidar flight line swaths were processed to create 825 classified LAS 1.4 files delineated in 750m x 750m tiles tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 825 - 0.5 meter hydro-flattened Raster DEMs delineated in 750m x 750m tiles tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 101 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 26 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, maximum surface height rasters, and 3D breaklines of water bodies within the study area.

Ground Condition: Ground conditions were free of snow and acquisition occurred free of smoke, fog and cloud cover.

Tags: airplane, alaska, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Intermodal Passenger Connectivity Database (IPCD)

The Intermodal Passenger Connectivity Database (IPCD) dataset was compiled on August 10, 2021 and was updated October 19, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The IPCD is a nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility. IPCD is no longer being updated, the latest information is from 2022. The IPCD data covers the following types of passenger transportation terminals/stops: 1. Scheduled airline service airports. 2. Intercity bus stations (includes stations served by regular scheduled intercity bus service such as Greyhound, Trailways, code sharing buses such as Amtrak Thruway feeder buses, supplemental buses that provide additional frequencies along rail routes, and airport bus services from locations that are outside of the airport metropolitan area). 3. Intercity and transit ferry terminals. 4. Light-rail transit stations. 5. Heavy-rail transit stations. 6. Passenger-rail stations on the national rail network served by intercity rail and/or commuter rail services. 7. Bikeshare stations belonging to bikeshare systems that are open to the general public, IT-automated, and station based (contain hubs to which users can grab and return a bike). The bikeshare stations only include those from the latest IPCD data collection in 2022. Please consult the latest bikeshare layer (https://doi.org/10.21949/1522020) for the most current information. The IPCD includes data elements describing the location of the above types of terminals as well as the availability of intercity, commuter, and transit rail; scheduled air service; intercity and transit bus; intercity and transit ferry services; and bikeshare availability. Transit bus service locations are not specifically included in the database. However, the status of transit bus as a connecting mode is included for each bikeshare facility in the database. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529035

Tags: airport, amtrak, atlas, aviation, bicycle, bikeshare, bus, connectivity, database, ferry, intercity, intermodal, ipcd, national, national transportation atlas database, ntad, passenger, point, rail, train, transit, transportation, usa, vector
Organization: Department of Transportation
Marine Highways

The Marine Highways dataset was created on June 15, 2016 and was updated on September 10, 2025 by the U.S. Maritime Administration (MARAD) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The United States Marine Highway Program is a Maritime Administration-led program to expand the use of our Nation's navigable waterways to relieve landside congestion, reduce air emissions, and generate other public benefits by increasing the efficiency of the surface transportation system (https://www.maritime.dot.gov/grants/marine-highways/marine-highway). This dataset contains the locations of all 35 maritime routes that have been designated as Marine Highways by the Secretary of the U.S. Department of Transportation. Routes included in this dataset are diagrammatic and may not depict all waterways and port connectors that are considered to be part of the U.S. Marine Highway System. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529036

Tags: atlas, database, highways, line, linear maritime, marine, maritime, national, national transportation atlas database, ntad, shipping, transportation, usa, vector
Organization: Department of Transportation
Compound 528583: Benzeneacetic acid, alpha-[(tert-butyldimethylsilyl)oxy]-, tert-butyldimethylsilyl ester

Chemical compound data from PubChem database. IUPAC Name: [tert-butyl(dimethyl)silyl] 2-[tert-butyl(dimethyl)silyl]oxy-2-phenylacetate. Molecular Formula: C20H36O3Si2. Molecular Weight: 380.7. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.

Tags: chemistry, compound, pubchem, research, science
Organization: U.S. Department of Health & Human Services
Letter to Governors Regarding Personal Protective Equipment for Child Welfare Workers

This letter from the Deputy Secretary of the U.S. Department of Health and Human Services urges state Governors to classify child welfare workers and service providers as level 1 emergency responders to allow them greater access to personal protective equipment.

Browse All COVID-19 Resources

Metadata-only record linking to the original dataset. Open original dataset below.

Tags: child, emergency, policy, response, scope
Organization: U.S. Department of Health & Human Services
Compound 528242: 2,3-Dimethyl-5-propylthiophene

Chemical compound data from PubChem database. IUPAC Name: 2,3-dimethyl-5-propylthiophene. Molecular Formula: C9H14S. Molecular Weight: 154.27. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.

Tags: chemistry, compound, pubchem, research, science
Organization: U.S. Department of Health & Human Services
Compound 525990: N1N1-dimethyl-N2-ortho-hydroxyphenylformamidine

Chemical compound data from PubChem database. IUPAC Name: N'-(2-hydroxyphenyl)-N,N-dimethylmethanimidamide. Molecular Formula: C9H12N2O. Molecular Weight: 164.2. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.

Tags: chemistry, compound, pubchem, research, science
Organization: U.S. Department of Health & Human Services
Patent AT-E401414-T1: [Translated] FOODS AND BEVERAGES CONTAINING NIGEROOLIGOSACCHARIDE ALCOHOL.

Starch sugar compositions comprising a plurality of nigerooligosaccharide alcohols may be added to food and drink as at least part of its sweeteners, whereby various advantages can be provided, eg not only a sweetness can be imparted, but also the quality of sweetness can be improved, and the moisture retention of foods can be improved. The nigerooligosaccharide alcohols may be prepared by allowing at least one enzyme selected from a -amylase of various types, an oligosaccharide-forming amylase, a  beta -amylase and a debranching enzyme and an enzyme capable of forming nigerooligosaccharide by transglycosylation and/or condensation reaction to act successively or simultaneously on a material comprised of at least one selected from i) starch, ii) a maltooligosaccharide with a degree of polymerization not lower than maltose and iii) a dextrin, to form nigerooligosaccharide, which is thereafter reduced to obtain a starch sugar composition containing the nigerooligosaccharide alcohol(s).

Tags: chemistry, innovation, patent, pubchem, research
Organization: U.S. Department of Health & Human Services
Compound 525184: Tetrapropylene glycol, diacetate

Chemical compound data from PubChem database. IUPAC Name: 2-[2-[2-(2-acetyloxypropoxy)propoxy]propoxy]propyl acetate. Molecular Formula: C16H30O7. Molecular Weight: 334.4. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.

Tags: chemistry, compound, pubchem, research, science
Organization: U.S. Department of Health & Human Services
Patent AT-E399823-T1: [Translated] INK COMPOSITION AND INKJET RECORDING METHOD

An ink composition comprising a dispersion medium and a charged particle, wherein the charged particle comprises a colorant, a compound having pKb of 16 or less in water and containing a proton-acceptive neutral functional group, and a charge controlling agent having pKa of 16 or less in water and containing a proton-donative group.

Tags: chemistry, innovation, patent, pubchem, research
Organization: U.S. Department of Health & Human Services
Patent AT-E399809-T1: [Translated] METHOD FOR PRODUCING POLYMER CONJUGATES

The invention relates to a method for preparing a polymer conjugate, in which a water-soluble polymer employed, the polymer having a linear or branched water-soluble polymer backbone and, at one end of the backbone, a branched moiety linked with two free reactive groups capable of covalent bonding to another molecule. Most specificly, it relates to an activated, substantially water soluble poly(ethylene glycol) having a linear or branched poly(ethylene glycol) backbone and at least one terminus linked to the backbone through a hydrolytically stable linkage, wherein the terminus is branched and has proximal reactive groups is reacted with active moieties in a biologically active agent such as a protein or peptide thus forming conjugates between the activated poly(ethylene glycol) and the biologically active agent.

Tags: chemistry, innovation, patent, pubchem, research
Organization: U.S. Department of Health & Human Services
State Owned Buildings

This dataset contains information on structures that are owned by the State of Connecticut. 

This inventory is currently maintained by the Office of Policy and Management (OPM) and information is self-reported by those State agencies that have custody and control over State owned buildings. 

For additional information about this data, please contact the agency which is listed as owning the property. This data is updated each March.

Tags: buildings, opm, state-owned
Organization: State of Connecticut
Patent AT-E401544-T1: [Translated] RADIATORS, ESPECIALLY MULTI-COLUMN RADIATORS

Boiler has many round pipes through which heating medium flows and head pieces (3) at both ends of the round pipes, by means of which the pipes are technically flow-connected to each other. To create a boiler with a sealing connection between the pipes on one hand and the head pieces on the other, each round pipe has an adjustable extension (5) on the head piece side running around the inside of the pipe, pointing in the direction of the respective head piece. Head pieces each have many pipe connections (4) of circular diameter. The end of each connection facing the pipe has an enlarged inner diameter (DISe). A reduced outer diameter (DARr) of each round pipe corresponds to the enlarged inner diameter of the attached pipe connection.

Tags: chemistry, innovation, patent, pubchem, research
Organization: U.S. Department of Health & Human Services